Titles Starting with d
* D-ATR for SAR Images Based on Deep Neural Networks
* D-Bar Algorithm with A Priori Information for 2-Dimensional Electrical Impedance Tomography, A
* D-Calib: Calibration Software for Multiple Cameras System
* D-CBRS: Accounting for Intra-Class Diversity in Continual Learning
* D-Clutter: Building object model library from unsupervised segmentation of cluttered scenes
* D-Dimensional Inverse Vector-Gradient Operator and Its Application for Scale-Free Image Enhancement, The
* D-Extract: Extracting Dimensional Attributes From Product Images
* D-FCM partitioned D-BSP tree for massive point cloud data access and rendering, The
* D-Grasp: Physically Plausible Dynamic Grasp Synthesis for Hand-Object Interactions
* D-HAZY: A dataset to evaluate quantitatively dehazing algorithms
* D-ID-Net: Two-Stage Domain and Identity Learning for Identity-Preserving Image Generation From Semantic Segmentation
* D-LEMA: Deep Learning Ensembles from Multiple Annotations - Application to Skin Lesion Segmentation
* D-LinkNet: LinkNet with Pretrained Encoder and Dilated Convolution for High Resolution Satellite Imagery Road Extraction
* D-LSD: A Distorted Line Segment Detector for Calibrated Images
* D-LSM: Deep Liquid State Machine with unsupervised recurrent reservoir tuning
* D-LSTM: Short-Term Road Traffic Speed Prediction Model Based on GPS Positioning Data
* D-mago: A novel visual entity for storing emotional feeling with visual imprint
* D-MFPN: A Doppler Feature Matrix Fused with a Multilayer Feature Pyramid Network for SAR Ship Detection
* D-NeRF: Neural Radiance Fields for Dynamic Scenes
* D-Nets: Beyond patch-based image descriptors
* D-NND: A Hierarchical Density Clustering Method via Nearest Neighbor Descent
* d-Norm-Based Robust Regression With Applications to Image Analysis
* D-Note: Computer-Aided Digital Note Taking System on Physical Book
* D-patches: effective traffic sign detection with occlusion handling
* d-SNE: Domain Adaptation Using Stochastic Neighborhood Embedding
* D-STC: Deep learning with spatio-temporal constraints for train drivers detection from videos
* D-VINS: Dynamic Adaptive Visual-Inertial SLAM with IMU Prior and Semantic Constraints in Dynamic Scenes
* D 3 Net: A Unified Speaker-Listener Architecture for 3D Dense Captioning and Visual Grounding
* D 3: Duplicate Detection Decontaminator for Multi-Athlete Tracking in Sports Videos
* D Joiner
* D&D: Learning Human Dynamics from Dynamic Camera
* D2-Net: A Trainable CNN for Joint Description and Detection of Local Features
* D2-Net: Dual Disentanglement Network for Brain Tumor Segmentation With Missing Modalities
* D2-Net: Weakly-Supervised Action Localization via Discriminative Embeddings and Denoised Activations
* D2-TPred: Discontinuous Dependency for Trajectory Prediction Under Traffic Lights
* D2ADA: Dynamic Density-Aware Active Domain Adaptation for Semantic Segmentation
* D2C-SR: A Divergence to Convergence Approach for Real-World Image Super-Resolution
* D2C: Deep cumulatively and comparatively learning for human age estimation
* D2CO: Fast and Robust Registration of 3D Textureless Objects Using the Directional Chamfer Distance
* D2Conv3D: Dynamic Dilated Convolutions for Object Segmentation in Videos
* D2D for Intelligent Transportation Systems: A Feasibility Study
* D2D: Keypoint Extraction with Describe to Detect Approach
* D2Det: Towards High Quality Object Detection and Instance Segmentation
* D2F2WOD: Learning Object Proposals for Weakly-Supervised Object Detection via Progressive Domain Adaptation
* D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image Restoration
* D2IM-Net: Learning Detail Disentangled Implicit Fields from Single Images
* D2N4: A Discriminative Deep Nearest Neighbor Neural Network for Few-Shot Space Target Recognition
* D2T: A Framework For transferring detection to tracking
* D3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images
* D3CNNs: Dual Denoiser Driven Convolutional Neural Networks for Mixed Noise Removal in Remotely Sensed Images
* D3D: Distilled 3D Networks for Video Action Recognition
* D3dlo: Deep 3d Lidar Odometry
* D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features
* D3mobile Metrology World League: Training Secondary Students on Smartphone-based Photogrammetry
* D3Net: Joint Demosaicking, Deblurring and Deringing
* D3R-Net: Dynamic Routing Residue Recurrent Network for Video Rain Removal
* D3S: A Discriminative Single Shot Segmentation Tracker
* D3TW: Discriminative Differentiable Dynamic Time Warping for Weakly Supervised Action Alignment and Segmentation
* D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry
* DA-AE: Disparity-Alleviation Auto-Encoder Towards Categorization of Heritage Images for Aggrandized 3D Reconstruction
* DA-CapsUNet: A Dual-Attention Capsule U-Net for Road Extraction from Remote Sensing Imagery
* DA-CCD: A novel action representation by Deep Architecture of local depth feature
* DA-cGAN: A Framework for Indoor Radio Design Using a Dimension-Aware Conditional Generative Adversarial Network
* DA-GAN: Instance-Level Image Translation by Deep Attention Generative Adversarial Networks
* DA-IMRN: Dual-Attention-Guided Interactive Multi-Scale Residual Network for Hyperspectral Image Classification
* DA-NAS: Data Adapted Pruning for Efficient Neural Architecture Search
* DA-RDD: Toward Domain Adaptive Road Damage Detection Across Different Countries
* DA-RefineNet: Dual-inputs Attention RefineNet for Whole Slide Image Segmentation
* DA-SACOT: Domain adaptive-segmentation guided attention for correlation based object tracking
* DA-VLAD: Discriminative Action Vector of Locally Aggregated Descriptors for Action Recognition
* DA3: Dynamic Additive Attention Adaption for Memory-Efficient On-Device Multi-Domain Learning
* DA3D: Fast and data adaptive dual domain denoising
* Da4ad: End-to-end Deep Attention-based Visual Localization for Autonomous Driving
* DAAL: Deep activation-based attribute learning for action recognition in depth videos
* Daala: A perceptually-driven still picture codec
* DABNet: Deformable Contextual and Boundary-Weighted Network for Cloud Detection in Remote Sensing Images
* DabR: A multitouch system for intuitive 3D scene navigation, The
* DAC-GAN: Dual Auxiliary Consistency Generative Adversarial Network for Text-to-Image Generation
* DAC-Mobi: Data-Assisted Communications of Mobile Images with Cloud Computing Support
* DAC-SDC Low Power Object Detection Challenge for UAV Applications
* DAC: Data-Free Automatic Acceleration of Convolutional Networks
* DAcImPro: A Novel Database of Acquired Image Projections and Its Application to Object Recognition
* DACNN: Blind Image Quality Assessment via a Distortion-Aware Convolutional Neural Network
* DACS: Domain Adaptation via Cross-domain Mixed Sampling
* Dactyl Alphabet Gesture Recognition in a Video Sequence Using Microsoft Kinect
* DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single Image
* DAD: Data-free Adversarial Defense at Test Time
* DADA: Depth-Aware Domain Adaptation in Semantic Segmentation
* DADA: Driver Attention Prediction in Driving Accident Scenarios
* DAE-CNN: Exploiting and disentangling contrast agent effects for breast lesions classification in DCE-MRI
* DAE-GAN: Dynamic Aspect-aware GAN for Text-to-Image Synthesis
* Daedalus Battlefield Visualization System
* Daedalus: Breaking Nonmaximum Suppression in Object Detection via Adversarial Examples
* DAEN: Deep Autoencoder Networks for Hyperspectral Unmixing
* DAFCNN: A Dual-Channel Feature Extraction and Attention Feature Fusion Convolution Neural Network for SAR Image and MS Image Fusion
* DAFE-FD: Density Aware Feature Enrichment for Face Detection
* DAFNE: A dataset of fresco fragments for digital anastlylosis
* DAFNet: A Novel Change-Detection Model for High-Resolution Remote-Sensing Imagery Based on Feature Difference and Attention Mechanism
* DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation
* DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting
* DAG-Recurrent Neural Networks for Scene Labeling
* DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction
* DAGIS: A Geospatial Semantic Web Services Discovery and Selection Framework
* DAGM
* DAGM: The German Association for Pattern Recognition
* DAGMapper: Learning to Map by Discovering Lane Topology
* DAHP: Deep Attention-Guided Hashing With Pairwise Labels
* Dahu graph-cut for interactive segmentation on 2D/3D images, The
* DAIL: Dataset-Aware and Invariant Learning for Face Recognition*
* Daily Area of Snow Melt Onset on Arctic Sea Ice from Passive Microwave Satellite Observations 1979-2012
* daily behavior enabled hidden Markov model for human behavior understanding, A
* Daily Evaporative Fraction Parameterization Scheme Driven by Day-Night Differences in Surface Parameters: Improvement and Validation
* Daily Evapotranspiration Estimations by Direct Calculation and Temporal Upscaling Based on Field and MODIS Data
* Daily Fire Hazard Index: A Fire Danger Rating Method for Mediterranean Areas, The
* Daily Flood Monitoring Based on Spaceborne GNSS-R Data: A Case Study on Henan, China
* Daily Global Plasmaspheric Maps Derived From COSMIC GPS Observations
* Daily GPP estimates in Mediterranean ecosystems by combining remote sensing and meteorological data
* Daily High-Resolution Land Surface Freeze/Thaw Detection Using Sentinel-1 and AMSR2 Data
* DAily Home LIfe Activity Dataset: A High Semantic Activity Dataset for Online Recognition, The
* Daily Human Mobility: A Reproduction Model and Insights from the Energy Concept
* Daily Imaging Scheduling of an Earth Observation Satellite
* Daily Living Activities Recognition via Efficient High and Low Level Cues Combination and Fisher Kernel Representation
* Daily Living Activity Recognition Using Wearable Devices: A Features-rich Dataset and a Novel Approach
* Daily Mapping of 30 m LAI and NDVI for Grape Yield Prediction in California Vineyards
* Daily Measure of the SARS-CoV-2 Effective Reproduction Number for all Countries, A
* Daily MODIS Land Surface Temperature Data for the Analysis of the Heat Requirements of Grapevine Varieties
* Daily Retrieval of NDVI and LAI at 3 m Resolution via the Fusion of CubeSat, Landsat, and MODIS Data
* Daily River Discharge Estimates by Merging Satellite Optical Sensors and Radar Altimetry Through Artificial Neural Network
* Daily River Discharge Estimation Using Multi-Mission Radar Altimetry Data and Ensemble Learning Regression in the Lower Mekong River Basin
* Daily Sea Ice Concentration Product over Polar Regions Based on Brightness Temperature Data from the HY-2B SMR Sensor
* Daily Spatial Distribution of Apparent Temperature Comfort Zone in China Based on Heat Index
* Daily Traffic Flow Forecasting Through a Contextual Convolutional Recurrent Neural Network Modeling Inter- and Intra-Day Traffic Patterns
* Daily use of an electric vehicle: behavioural changes and potential for its support
* Daily Variation of Chlorophyll-A Concentration Increased by Typhoon Activity
* Daily Water Level Prediction of Zrebar Lake (Iran): A Comparison between M5P, Random Forest, Random Tree and Reduced Error Pruning Trees Algorithms
* Daimler Pedestrian Detection Benchmark
* Daimler
* DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection
* Dairy Cattle Sub-clinical Uterine Disease Diagnosis Using Pattern Recognition and Image Processing Techniques
* DAISY-like compass operator, A
* DAISY descriptor based multi-view stereo method for large-scale scenes, A
* DAISY Filter Flow: A Generalized Discrete Approach to Dense Correspondences
* DAISY: An Efficient Dense Descriptor Applied to Wide-Baseline Stereo
* DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation
* DAL: A Deep Depth-Aware Long-term Tracker
* DALES: A Large-scale Aerial LiDAR Data Set for Semantic Segmentation
* DaLI: Deformation and Light Invariant Descriptor
* DALM-SVD: Accelerated sparse coding through singular value decomposition of the dictionary
* DALSA Corporation
* DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated MR Images
* Dam Analysis and Monitoring, Levee Analysis, Deformation, Erosion
* Dam Deformation Monitoring Data Analysis Using Space-Time Kalman Filter
* Dam Extraction from High-Resolution Satellite Images Combined with Location Based on Deep Transfer Learning and Post-Segmentation with an Improved MBI
* Dam Leakage Detection by Borehole Radar: A Case-History Study
* DAM: Discrepancy Alignment Metric for Face Recognition
* Damage-Map Estimation Using UAV Images and Deep Learning Algorithms for Disaster Management System
* Damage-Mapping Algorithm Based on Coherence Model Using Multitemporal Polarimetric-Interferometric SAR Data
* Damage Assessment And Monitoring Of Cultural Heritage Places In A Disaster And Post-disaster Event: A Case Study Of Syria
* Damage Assessment Based on SAR Image Analysis: Flood Scenario for Romanian Eastern Carpathian Region
* Damage Assessment of Rice Crop after Toluene Exposure Based on the Vegetation Index (VI) and UAV Multispectral Imagery
* Damage Detection and Analysis of Urban Bridges Using Terrestrial Laser Scanning (TLS), Ground-Based Microwave Interferometry, and Permanent Scatterer Interferometry Synthetic Aperture Radar (PS-InSAR)
* Damage Detection Based on 3D Point Cloud Data Processing from Laser Scanning of Conveyor Belt Surface
* Damage detection from aerial images via convolutional neural networks
* Damage Detection On Historical Buildings Using Unsupervised Classification Techniques
* Damage detection using SAR coherence statistical analysis, application to Beirut, Lebanon
* Damage Diagnosis for Wind Turbine Blades Based on the Shifting Distance of Characteristic Frequency
* Damage Estimation of Explosions in Urban Environments By Simulation
* Damage Mapping of Powdery Mildew in Winter Wheat with High-Resolution Satellite Image
* Damage Properties of the Block-Stone Embankment in the Qinghai-Tibet Highway Using Ground-Penetrating Radar Imagery
* Damage Risk Assessment of Painting On The Wood Construction in Typical Taiwanese Temple By Hot and Humid Climate
* Damage Signature Generation of Revetment Surface along Urban Rivers Using UAV-Based Mapping
* Damage to Buildings in Large Slope Rock Instabilities Monitored with the PSInSAR™ Technique
* Damaged Building Extraction Using Modified Mask R-CNN Model Using Post-Event Aerial Images of the 2016 Kumamoto Earthquake
* Damascening video databases for evaluation of face tracking and recognition: The DXM2VTS database
* DAME WEB: DynAmic MEan with Whitening Ensemble Binarization for Landmark Retrieval without Human Annotation
* DAML: Domain Adaptation Metric Learning
* DaMN: Discriminative and Mutually Nearest: Exploiting Pairwise Category Proximity for Video Action Recognition
* Damped Dreamlet Representation for Exploration Seismic Data Interpolation and Denoising
* Damped Newton Algorithms for Matrix Factorization with Missing Data
* Damped Posterior Linearization Filter
* DAMSL: Domain Agnostic Meta Score-based Learning
* DAN: A Segmentation-Free Document Attention Network for Handwritten Document Recognition
* DAN: An Automatic Segmentation and Classification Engine for Paper Documents
* DAN: Deep-Attention Network for 3D Shape Recognition
* Dana36: A Multi-camera Image Dataset for Object Identification in Surveillance Scenarios
* DANBO: Disentangled Articulated Neural Body Representations via Graph Neural Networks
* DanbooRegion: An Illustration Region Dataset
* DANCE-NET: Density-aware convolution networks with context encoding for airborne LiDAR point cloud classification
* Dance Dance Generation: Motion Transfer for Internet Videos
* Dance In the Wild: Monocular Human Animation with Neural Dynamic Appearance Synthesis
* Dance Interactive Learning Systems: A Study on Interaction Workflow and Teaching Approaches
* Dance Motion Analysis and Synthesis using Motion Capture Data
* Dance motion analysis by correlation matrix between pose sequences
* Dance Posture Recognition Using Wide-baseline Orthogonal Stereo Cameras
* Dance Style Transfer with Cross-modal Transformer
* Dance With Flow: Two-In-One Stream Action Detection
* Dance with Self-Attention: A New Look of Conditional Random Fields on Anomaly Detection in Videos
* DANCE: A Deep Attentive Contour Model for Efficient Instance Segmentation
* DanceIt: Music-Inspired Dancing Video Synthesis
* Dancelets Mining for Video Recommendation Based on Dance Styles
* DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion
* Dancing icons detection
* Dancing like a superstar: Action guidance based on pose estimation and conditional pose alignment
* Dancing under the stars: video denoising in starlight
* Dancing with Physio: A Mobile Game with Physiologically Aware Virtual Humans
* DANCo: An intrinsic dimensionality estimator exploiting angle and norm concentration
* Danet: Deformable Alignment Network for Video Inpainting
* DAnet: Depth-Aware Network for Crowd Counting
* DANet: Divergent Activation for Weakly Supervised Object Localization
* DANet: Dynamic Attention to Spoof Patterns for Face Anti-Spoofing
* DANICE: Domain adaptation without forgetting in neural image compression
* Danish Fungi 2020: Not Just Another Image Recognition Dataset
* DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation
* DANTE Speaker Recognition Module. An Efficient and Robust Automatic Speaker Searching Solution for Terrorism-Related Scenarios
* DAP: Detection-Aware Pre-training with Weak Supervision
* DAPC-Net: Deformable Alignment and Pyramid Context Completion Networks for Video Inpainting
* DAPC: Answering Why-Not Questions on Top-k Direction-Aware ASK Queries in Polar Coordinates
* DAPC: Domain Adaptation People Counting via Style-level Transfer Learning and Scene-aware Estimation
* DAPs: Deep Action Proposals for Action Understanding
* DAQ: Channel-Wise Distribution-Aware Quantization for Deep Image Super-Resolution Networks
* DAQE: Enhancing the Quality of Compressed Images by Exploiting the Inherent Characteristic of Defocus
* Darboux Frames, Snakes, and Super-Quadrics: Geometry from the Bottom Up
* Darboux smoothing for shape-from-shading
* DArch: Dental Arch Prior-assisted 3D Tooth Instance Segmentation with Weak Annotations
* DARCNN: Domain Adaptive Region-based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical Images
* DAReN: A Collaborative Approach Towards Visual Reasoning And Disentangling
* Dark-Aware Network For Fine-Grained Sketch-Based Image Retrieval
* Dark and Bright Channel Prior Embedded Network for Dynamic Scene Deblurring
* Dark Channel: The Devil is in the Details
* Dark Corner on Skin Lesion Image Dataset: Does it matter?
* Dark Flash Normal Camera, A
* Dark Glacier Surface of Greenland's Largest Floating Tongue Governed by High Local Deposition of Dust
* Dark image enhancement based onpairwise target contrast and multi-scale detail boosting
* Dark light enhancement for dark scene urban object recognition
* Dark line detection with line width extraction
* Dark Spot Detection from SAR Images Based on Superpixel Deeper Graph Convolutional Network
* Dark Target Algorithm for Observing the Global Aerosol System: Past, Present, and Future, The
* Dark Target Algorithm for the GOSAT TANSO-CAI Sensor in Aerosol Optical Depth Retrieval over Land, A
* Dark target effectiveness for dark-object subtraction atmospheric correction method on mangrove above-ground carbon stock mapping
* Dark Target Method for Himawari-8/AHI Aerosol Retrieval: Application and Validation, A
* Dark versus bright equilibrium hues: rod and cone biases
* DarkLight Networks for Action Recognition in the Dark
* DARN: A Deep Adversarial Residual Network for Intrinsic Image Decomposition
* DARN: Deep Attentive Refinement Network for Liver Tumor Segmentation from 3D CT volume
* DARNet: Deep Active Ray Network for Building Segmentation
* DARPA grand challenge: Development of an Autonomous Vehicle, The
* DARPA Image Understanding Benchmark for Parallel Computers, The
* DARPA Image Understanding Motion Benchmark, The
* DARPA Shredder Challenge Solved
* DARPA/DMA Image Understanding Testbed, The
* DarSpeech: An Automatic Speech Recognition System for the Moroccan Dialect
* DART: A Fast Heuristic Algebraic Reconstruction Algorithm for Discrete Tomography
* DART: A Practical Reconstruction Algorithm for Discrete Tomography
* DART: A Software Architecture for the Creation of a Distributed Asynchronous Recognition Toolbox
* DART: Distribution Aware Retinal Transform for Event-Based Cameras
* Dartmouth University
* DARTS-PAP: Differentiable Neural Architecture Search by Polarization of Instance Complexity Weighted Architecture Parameters
* DARTS-PD: Differentiable Architecture Search with Path-Wise Weight Sharing Derivation
* DARTS with Degeneracy Correction
* DARTS: Differentiable architecture search
* DARTs: Efficient scale-space extraction of DAISY keypoints
* DARTSRepair: Core-failure-set guided DARTS for network robustness to common corruptions
* Darwintrees for Action Recognition
* DAS
* DAS: Densely-Anchored Sampling for Deep Metric Learning
* DASC: Dense adaptive self-correlation descriptor for multi-modal and multi-spectral correspondence
* DASC: Robust Dense Descriptor for Multi-Modal and Multi-Spectral Correspondence Estimation
* DASGIL: Domain Adaptation for Semantic and Geometric-Aware Image-Based Localization
* DASH-based HEVC multi-view video streaming system, A
* DASH-Based Multi-View Video Streaming System
* DASH-N: Joint Hierarchical Domain Adaptation and Feature Learning
* DASH Adaptation Algorithm Based on Adaptive Forgetting Factor Estimation
* Dash in mobile networks and services
* DASH(HEVC)/LTE: QoE-based dynamic adaptive streaming of HEVC content over wireless networks
* DASM: An open source active shape model for automatic registration of objects
* DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning
* DASP: Dual-autoencoder Architecture for Skin Prediction
* DASSCAN: A Density and Adjacency Expansion-Based Spatial Structural Community Detection Algorithm for Networks
* DaST: Data-Free Substitute Training for Adversarial Attacks
* Dasymetric Mapping and Spatial Modeling of Mosquito Vector Exposure, Chesapeake, Virginia, USA
* Dasymetric Mapping Using UAV High Resolution 3D Data within Urban Areas
* DASyR(IR): document analysis system for systematic reviews (in Information Retrieval)
* DAT: Domain Adaptive Transformer for Domain Adaptive Semantic Segmentation
* DAT: Training Deep Networks Robust to Label-Noise by Matching the Feature Distributions
* Data- and Model-Driven Gaze Control for an Active-Vision System
* Data- and Model-Driven Multiresolution Processing
* Data-adaptive binary neural networks for efficient object detection and recognition
* Data-Adaptive Digital Video Format Conversion Algorithms
* Data-Adaptive EOF-Based Method for Displacement Signal Retrieval From InSAR Displacement Measurement Time Series for Decorrelating Targets, A
* Data-adaptive Filtering and the State of the Art in Image Processing
* Data-Adaptive Loss Function for Incomplete Data and Incremental Learning in Semantic Image Segmentation, A
* Data-attention-YOLO (DAY): A comprehensive framework for mesoscale eddy identification
* Data-augmentation for reducing dataset bias in person re-identification
* Data-Augmented 3D Morphable Model of the Ear, A
* Data-augmented matched subspace detector for hyperspectral subpixel target detection
* Data-aware relation learning-based graph convolution neural network for facial action unit recognition
* Data-Based Bi-Objective Approach to Explore the Accessibility of Multimodal Public Transport Networks, A
* Data-Centric Approach for Improving Ambiguous Labels with Combined Semi-supervised Classification and Clustering, A
* Data-Consistent Linear Prediction Method for Image-Reconstruction from Finite Fourier Samples, A
* Data-Dependent Hashing Based on p-Stable Distribution
* Data-Dependent Higher-Order Clique Selection for Artery-Vein Segmentation by Energy Minimization
* Data-Dependent Label Distribution Learning for Age Estimation
* Data-dependent multiple kernel learning algorithm based on soft-grouping
* Data-Dependent Pre- and Postprocessing Multiple Description Coding of Images
* Data-dependent Scaling of CNN's First Layer for Improved Image Manipulation Detection
* Data-Dependent Weighted Median Filtering With Robust Motion Information for Image Sequence Restoration
* Data-Driven 3D Facial Animation
* Data-Driven 3D Primitives for Single Image Understanding
* Data-Driven 3D Reconstruction of Dressed Humans From Sparse Views
* Data-driven 3D Voxel Patterns for object category recognition
* Data-Driven Adaptive Optimal Control of Connected Vehicles
* Data-Driven Affine Deformation Estimation and Correction in Cone Beam Computed Tomography
* Data-Driven Air Traffic Sequencing Model Based on Pairwise Preference Learning, A
* data-driven algorithm and systolic architecture for image morphology, A
* Data-Driven Analysis of Hemodynamic Response Delay in Event-Related fMRI Using Wavelet Transform
* Data-Driven and Optimal Bus Scheduling Model With Time-Dependent Traffic and Demand, A
* Data-Driven Animation of Crowds
* Data-driven animation of hand-object interactions
* Data-Driven Approach for Accurate Rainfall Prediction, A
* Data-Driven Approach for Automated Integrated Circuit Segmentation of Scan Electron Microscopy Images, A
* Data-driven approach for automatic orientation of 3D shapes
* Data-Driven Approach for Direct and Global Component Separation from a Single Image, A
* Data-Driven Approach for Driving Safety Risk Prediction Using Driver Behavior and Roadway Information Data, A
* Data-Driven Approach for Electric Bus Energy Consumption Estimation, A
* Data-Driven Approach for Event Prediction, A
* Data-Driven Approach for Facial Expression Retargeting in Video, A
* data-driven approach for facial expression synthesis in video, A
* Data-Driven Approach for Human Locomotion Generation
* Data-driven approach for identifying spatiotemporally recurrent bottlenecks
* data-driven approach for real-time full body pose reconstruction from a depth camera, A
* data-driven approach for tag refinement and localization in web videos, A
* Data-Driven Approach to Assess Street Safety: Large-Scale Analysis of the Microscopic Design
* Data-Driven Approach to Audio Decorrelation, A
* Data-Driven Approach to Benthic Cover Type Classification Using Bathymetric LiDAR Waveform Analysis
* Data-Driven Approach to Classifying Wave Breaking in Infrared Imagery, A
* data-driven approach to cleaning large face datasets, A
* data-driven approach to feature space selection for robust micro-endoscopic image reconstruction, A
* Data-Driven Approach to Improve 3D Head-Pose Estimation, A
* Data-Driven Approach to Understanding Skill in Photographic Composition, A
* Data-driven approaches for meteorological time series prediction: A comparative study of the state-of-the-art computational intelligence techniques
* Data-Driven Approaches for Tornado Damage Estimation with Unpiloted Aerial Systems
* Data-Driven Approaches to Community-Contributed Video Applications
* Data-driven approaches to digital human modeling
* Data-Driven Artificial Intelligence Model of Meteorological Elements Influence on Vegetation Coverage in North China
* Data-Driven Assessment of Biosphere-Atmosphere Interaction Impact on Seasonal Cycle Patterns of XCO2 Using GOSAT and MODIS Observations, A
* Data-driven assimilation of irregularly-sampled image time series
* Data-driven background representation method to video surveillance
* Data-Driven Background Subtraction Algorithm for In-Camera Acceleration in Thermal Imagery
* Data-Driven Bandwidth Prediction Models and Automated Model Selection for Low Latency
* Data-Driven Based Cruise Control of Connected and Automated Vehicles Under Cyber-Physical System Framework
* Data-driven Bicycle Network Analysis Based on Traditional Counting Methods and GPS Traces from Smartphone
* Data-Driven Brain MRI Segmentation Supported on Edge Confidence and A Priori Tissue Information
* Data-Driven BxDF Models for Computer Vision Applications
* Data-Driven Calibration Algorithm and Pre-Launch Performance Simulations for the SWOT Mission
* Data-driven car-following model based on rough set theory
* data-driven chassis coordination control strategy, A
* Data-Driven Contract Design for Multi-Agent Systems With Collusion Detection
* Data-Driven Cortex Segmentation in Reconstructed Fetal MRI by Using Structural Constraints
* Data-driven Creativity Measure for 3d Shapes, A
* Data-driven crowd analysis in videos
* Data-Driven crowd simulation
* Data-Driven Crowd Understanding: A Baseline for a Large-Scale Crowd Dataset
* Data-Driven Cyber Security in Perspective: Intelligent Traffic Analysis
* Data-driven decomposition for multi-class classification
* Data-Driven Deep Supervision for Medical Image Segmentation
* Data-driven depth map refinement via multi-scale sparse representation
* Data-Driven Detection of Prominent Objects
* Data-Driven Distance Metrics for Kriging-Short-Term Urban Traffic State Prediction
* Data-Driven Distributionally Robust Electric Vehicle Balancing for Autonomous Mobility-on-Demand Systems Under Demand and Supply Uncertainties
* Data-Driven Elasticity Imaging Using Cartesian Neural Network Constitutive Models and the Autoprogressive Method
* Data-Driven Estimation of Temporal-Sampling Errors in Unsteady Flows
* Data-Driven Event-Triggered Cooperative Control for Multiple Subway Trains With Switching Topologies
* Data-driven exemplar model selection
* Data-Driven Extraction of Curved Intersection Lanemarks from Road Traffic Image Sequences
* Data-driven facial animation via semi-supervised local patch alignment
* Data-Driven Facial Beauty Analysis: Prediction, Retrieval and Manipulation
* Data-Driven Fault Diagnosis for Traction Systems in High-Speed Trains: A Survey, Challenges, and Perspectives
* Data-Driven Feature-Based 3D Face Synthesis
* Data-Driven Feature Learning for Myocardial Segmentation of CP-BOLD MRI
* Data-driven feature modeling, recognition and analysis in a discovery of supersonic cracks in multimillion-atom simulations
* Data-Driven Flexible Vehicle Scheduling and Route Optimization
* Data-driven flight time prediction for arrival aircraft within the terminal area
* Data-Driven Flower Petal Modeling with Botany Priors
* Data-Driven Foreground Object Detection from a Non-stationary Camera
* Data-Driven Framework for Analyzing Spatial Distribution of the Elderly Cardholders by Using Smart Card Data, A
* Data-Driven Framework for Walkability Measurement with Open Data: A Case Study of Triple Cities, New York, A
* Data-driven hair segmentation with isomorphic manifold inference
* Data-Driven Hierarchical Structure Kernel for Multiscale Part-Based Object Recognition
* Data-Driven High-Resolution Time-Frequency Distribution, A
* Data-Driven Homolog Matching for Chromosome Identification
* Data-Driven Illumination Patterns for Coded Diffraction Imaging
* Data-driven image captioning via salient region discovery
* Data-driven image completion for complex objects
* Data-Driven Importance Distributions for Articulated Tracking
* Data-Driven Impostor Selection for T-Norm Score Normalisation and the Background Dataset in SVM-Based Speaker Verification
* Data-Driven Imputation Method for Traffic Data in Sectional Units of Road Links
* Data-Driven Indoor Positioning Correction for Infrastructure-Enabled Autonomous Driving Systems: A Lifelong Framework
* Data-Driven Intelligent Transportation Systems: A Survey
* Data-Driven Intermediate Level Feature Extraction Algorithm, A
* Data-Driven Interpolation of Sea Level Anomalies Using Analog Data Assimilation
* Data-Driven Interpolation of Sea Surface Suspended Concentrations Derived from Ocean Colour Remote Sensing Data
* Data-Driven Investigation and Estimation of Optimal Topologies under Variable Loading Configurations, A
* Data-Driven Iterative-Evolution-Participatory Design Model on Motion-Based Science Educational Application for ADHD Learners
* Data-Driven Jacobian Adaptation in a Multi-model Structure for Noisy Speech Recognition
* Data-Driven Joint Beam Selection and Power Allocation for Multiple Target Tracking
* Data-driven Knowledge Discovery in Retail: Evidences from the Vending Machine's Industry
* Data-driven Latent Graph Structure Learning for Diagnosis of Alzheimer's Syndrome
* Data-Driven Lightweight Interest Point Selection for Large-Scale Visual Search
* Data-Driven Long Term Change Analysis in Marine Observatory Image Streams
* Data-Driven Low-Rank Neural Network Compression
* Data-Driven Lung Nodule Models for Robust Nodule Detection in Chest CT
* Data-Driven Manifolds for Outdoor Motion Capture
* Data-Driven Method for Choosing Smoothing Parameters in Optical Flow Problems, A
* Data-Driven Method for Trip Ends Identification Using Large-Scale Smartphone-Based GPS Tracking Data, A
* Data-driven Methods for Solving Large-scale Inverse Problems with Applications to Subsurface Imaging
* Data-Driven Methods for the Determination of Anterior-Posterior Motion in PET
* Data-Driven Metric for Comprehensive Evaluation of Saliency Models, A
* Data-Driven Metro Train Crowding Prediction Based on Real-Time Load Data
* Data-Driven Model-Based Regression Applied to Panchromatic Sharpening, A
* Data-Driven Model for Monocular Face Tracking, A
* Data-Driven Model Free Adaptive Perimeter Control for Multi-Region Urban Traffic Networks With Route Choice
* Data-Driven Model on Google Earth Engine for Landslide Susceptibility Assessment in the Hengduan Mountains, the Qinghai-Tibetan Plateau, A
* Data-Driven Model Reduction for Fast, High Fidelity Atrial Electrophysiology Computations
* Data-driven modeling and animation of outdoor trees through interactive approach
* Data-Driven Modeling for Transferable Sea State Estimation Between Marine Systems
* Data-Driven Modeling of Aircraft Midair Separation Violation
* Data-Driven Models Informed by Spatiotemporal Mobility Patterns for Understanding Infectious Disease Dynamics
* Data-Driven Models Support a Vision for Over-the-Air Vehicle Emission Inspections
* Data-Driven Motion Pattern Segmentation in a Crowded Environments
* Data-Driven MRSI Spectral Localization Via Low-Rank Component Analysis
* Data-Driven Multi-Frame 3D Motion Estimation
* Data-Driven Multichannel Superresolution with Application to Video Sequences
* Data-driven multimedia forensics and security
* Data-Driven Multispectral Image Registration
* Data-Driven Multivariate Signal Denoising Using Mahalanobis Distance
* Data-Driven Neuron Allocation for Scale Aggregation Networks
* Data-driven next destination prediction and ETA improvement for urban delivery fleets
* Data-driven Nonlinear Diffusion for Object Segmentation
* Data-Driven Objectness
* Data-Driven On-Line Generation of Interactive Gait Motion
* Data-Driven Online Speed Optimization in Autonomous Sailboats
* Data-Driven Optimization for Dynamic Shortest Path Problem Considering Traffic Safety
* Data-Driven Parameter Choice for Illumination Artifact Correction of Digital Images
* Data-Driven Personalized Digital Ink for Chinese Characters, A
* Data-Driven Point Cloud Simplification Framework for City-Scale Image-Based Localization, A
* Data-Driven Prior on Facet Orientation for Semantic Mesh Labeling, A
* Data-Driven Probabilistic Occlusion Mask to Promote Visual Tracking
* Data-Driven Probability Hypothesis Density Filter for Visual Tracking
* Data-driven Procedure for Density-Estimation with Some Applications, A
* Data-driven progressive compression of colored 3D mesh
* Data-Driven Quasi-Dynamic Traffic Assignment Model Integrating Multi-Source Traffic Sensor Data on the Expressway Network, A
* Data-Driven Random Forest Models for Detecting Volcanic Hot Spots in Sentinel-2 MSI Images
* Data-driven recovery of hand depth using CRRF on stereo images
* Data-Driven Registration for Local Deformations
* Data-Driven Regularization Model for Stereo and Flow, A
* Data-Driven Resilient Fleet Management for Cloud Asset-enabled Urban Flood Control
* Data-Driven Restoration of Digital Archaeological Pottery with Point Cloud Analysis
* Data-Driven Retrospective Correction of B1 Field Inhomogeneity in Fast Macromolecular Proton Fraction and R1 Mapping
* Data-driven road detection
* Data-Driven Robust Predictive Control for Mixed Vehicle Platoons Using Noisy Measurement
* Data-Driven Scene Understanding from 3D Models
* Data-Driven Scene Understanding with Adaptively Retrieved Exemplars
* Data-Driven Seismic Impedance Inversion Based on Multi-Scale Strategy
* Data-Driven Seismic Waveform Inversion: A Study on the Robustness and Generalization
* Data-Driven Selection of Land Product Validation Station Based on Machine Learning
* Data-driven Shape-from-Shading using Curvature Consistency
* Data-Driven Shared Steering Control of Semi-Autonomous Vehicles
* Data-Driven Short-Term Daily Operational Sea Ice Regional Forecasting
* Data-driven single image depth estimation using weighted median statistics
* Data-Driven Soft Decoding of Compressed Images in Dual Transform-Pixel Domain
* Data-Driven Sparse GLM for fMRI Analysis Using Sparse Dictionary Learning With MDL Criterion, A
* Data-Driven Sparse Structure Selection for Deep Neural Networks
* Data-driven sparsity-based restoration of JPEG-compressed images in dual transform-pixel domain
* Data-Driven Spatially-Adaptive Metric Adjustment for Visual Tracking
* Data-Driven Spatio-Temporal Speed Prediction Framework for Energy Management of Connected Vehicles, A
* Data-Driven State-Increment Statistical Model and Its Application in Autonomous Driving
* Data-Driven Street Scene Layout Estimation for Distant Object Detection
* Data-Driven Sub-Riemannian Geodesics in SE(2)
* Data-driven subspace enrichment for elastic deformations with collisions
* Data-driven sustainable smart manufacturing: A conceptual framework
* Data-Driven Synthesis of Cartoon Faces Using Different Styles
* Data-driven synthesis of composite-feature detectors for 3D image analysis
* Data-driven techniques for smoothing histograms of local binary patterns
* Data-Driven Techniques in Disaster Information Management
* Data-Driven Timetable Optimization of Urban Bus Line Based on Multi-Objective Genetic Algorithm, A
* Data-Driven Tire Capacity Estimation With Experimental Verification
* Data-Driven Transform-Based Compressed Image Quality Assessment
* Data-Driven Transit Network Design From Mobile Phone Trajectories
* Data-Driven Vehicle Identification by Image Matching
* Data-Driven Waveform Adaptation Method for Mm-Wave Gait Classification at the Edge, A
* Data-efficient Alignment of Multimodal Sequences by Aligning Gradient Updates and Internal Feature Distributions
* Data-Efficient Collaborative Decentralized Thermal-Inertial Odometry
* Data-efficient Deep Learning Framework for Segmentation and Classification of Histopathology Images, A
* Data-Efficient Deep Reinforcement Learning with Symmetric Consistency
* Data-Efficient Graph Embedding Learning for PCB Component Detection
* Data-Efficient Language-Supervised Zero-Shot Learning with Self-Distillation
* Data-efficient Ranking Distillation for Image Retrieval
* Data-Efficient Semi-Supervised Learning by Reliable Edge Mining
* Data-Free Area Detection and Evaluation for Marine Satellite Data Products
* Data-Free Backdoor Removal Based on Channel Lipschitzness
* Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN
* Data-Free Knowledge Distillation For Image Super-Resolution
* Data-free Knowledge Distillation for Object Detection
* Data-Free Learning of Student Networks
* Data-free metrics for Dirichlet and generalized Dirichlet mixture-based HMMs: A practical study
* Data-Free Model Extraction
* Data-Free Network Compression via Parametric Non-uniform Mixed Precision Quantization
* Data-Free Network Quantization With Adversarial Knowledge Distillation
* Data-Free Neural Architecture Search via Recursive Label Calibration
* Data-free Parameter Pruning for Deep Neural Networks
* Data-Free Prior Model for Facial Action Unit Recognition
* Data-Free Prior Model for Upper Body Pose Estimation and Tracking
* Data-Free Quantization Through Weight Equalization and Bias Correction
* Data-free Universal Adversarial Perturbation and Black-box Attack
* Data-Free/Data-Sparse Softmax Parameter Estimation With Structured Class Geometries
* data-fusion approach to motion-stereo, A
* Data-Gap Filling to Understand the Dynamic Feedback Pattern of Soil
* Data-Hiding Capacity Improvement for Text Watermarking Using Space Coding Method
* Data-Hiding in Halftone Images Using Adaptive Noise-Balanced Error Diffusion
* Data-independent low-complexity KLT approximations for image and video coding
* Data-Independent Phase-Only Beamforming of FDA-MIMO Radar for Swarm Interference Suppression
* Data-independent Random Projections from the feature-space of the homogeneous polynomial kernel
* Data-Level Fusion of Multilook Inverse Synthetic Aperture Radar Images
* Data-Level Recombination and Lightweight Fusion Scheme for RGB-D Salient Object Detection
* Data-Mining Based Video Shot Classification Method, A
* Data-mining process: Application for hand detection in contact free settings
* Data-oriented Algorithm For Route Choice Set Generation In A Metropolitan Area With Mobile Phone GPS Data
* Data-parallel intra decoding for block-based image and video coding on massively parallel architectures
* Data-path unrolling with logic folding for area-time-efficient FPGA-based FAST corner detector
* Data-rate constrained lattice vector quantization: a new quantizing algorithm in a rate-distortion sense
* Data-Reuse Recursive Least-Squares Algorithms
* Data-Time Tradeoffs for Corrupted Sensing
* Data-Uncertainty Guided Multi-Phase Learning for Semi-Supervised Object Detection
* Data-Wise Spatial Regional Consistency Re-Enhancement for Hyperspectral Image Classification
* Data Acquisition and Preparation for Dual-Reference Deep Learning of Image Super-Resolution
* Data acquisition by 2D compression and ID reconstruction techniques for WSN spatially correlated data
* Data Acquisition Enhancement in Shape and Multispectral Color Measurements of 3D Objects
* Data Acquisition for Cultural Heritage Navigation: Integration of Panoramic Imaging, Terrestrial Laser Scanning and Anaglyphs
* Data Acquisition Possibilities for Face Reconstruction Purpose
* Data Acquisition Strategies for ASTER Global DEM Generation
* Data Acquisition through the Model Aircraft for Mapping Purposes
* Data Adaptive Dual Domain Denoising: a Method to Boost State of the Art Denoising Algorithms
* Data Adaptive Median Filters for Signal and Image Denoising Using a Generalized SURE Criterion
* Data Allocation and Dynamic Load Balancing for Distributed Video Storage Server
* Data Analysis and Bioinformatics
* Data Analysis for Dynamics of Cooperative Bridge-Vehicle System Considering Pavement Roughness and Separation
* Data Analysis in Multimedia Quality Assessment: Revisiting the Statistical Tests
* Data Analysis in Pavement Engineering: An Overview
* Data analytics approach for train timetable performance measures using automatic train supervision data
* Data Analytics Process over Road Accidents Data: A Case Study of Lisbon City
* Data and Decision Level Fusion of Temporal Information for Automatic Target Recognition
* Data and Knowledge Engineering
* Data and Model-Driven Selection Using Closely-Spaced Parallel-Line Groups
* Data and Model-Driven Selection Using Color Regions
* Data and Model-Driven Selection Using Parallel-Line Groups
* Data and model driven foveation
* Data Anonymization for Data Protection on Publicly Recorded Data
* Data Archiving And Distribution Of Lidar And Derived Datasets In The Philippines
* Data Assimilation for Rainfall-Runoff Prediction Based on Coupled Atmospheric-Hydrologic Systems with Variable Complexity
* Data Assimilation in Large Time-Varying Multidimensional Fields
* Data assimilation in multiscale complex systems
* Data Assimilation Method Combined with Machine Learning and Its Application to Anthropogenic Emission Adjustment in CMAQ, A
* Data Assimilation Method for Simultaneously Estimating the Multiscale Leaf Area Index From Time-Series Multi-Resolution Satellite Observations, A
* Data Assimilation Network for Generalizable Person Re-Identification
* Data Assimilation of High-Resolution Satellite Rainfall Product Improves Rainfall Simulation Associated with Landfalling Tropical Cyclones in the Yangtze River Delta
* Data Assimilation of Satellite Soil Moisture into Rainfall-Runoff Modelling: A Complex Recipe?
* Data Assimilation of Terrestrial Water Storage Observations to Estimate Precipitation Fluxes: A Synthetic Experiment
* Data Assimilation of the High-Resolution Sea Surface Temperature Obtained from the Aqua-Terra Satellites (MODIS-SST) Using an Ensemble Kalman Filter
* Data Assimilation to Extract Soil Moisture Information from SMAP Observations
* Data assimilation with state alignment using high-level image structures detection
* Data association and tracking for automotive radar networks
* Data Association at the Level of Narrative Plots to Support Analysis of Spatiotemporal Evolvement of Conflict: A Case Study in Nigeria
* Data association based ant tracking with interactive error correction
* Data Association Based Multi-target Tracking Using a Joint Formulation
* Data Association Between Event Streams and Intensity Frames Under Diverse Baselines
* Data association for fusion in spatial and spectral imaging
* Data Association in Multi-Target Tracking Using Belief Theory: Handling Target Emergence and Disappearance Issue
* Data augmentation and directional feature maps extraction for in-air handwritten Chinese character recognition based on convolutional neural network
* Data Augmentation and Intelligent Recognition in Pavement Texture Using a Deep Learning
* Data augmentation and language model adaptation using singular value decomposition
* Data augmentation and shadow image classification for shadow detection
* Data Augmentation and Spectral Structure Features for Limited Samples Hyperspectral Classification
* Data Augmentation for a Deep Learning Framework for Ventricular Septal Defect Ultrasound Image Classification
* Data Augmentation for Building Footprint Segmentation in SAR Images: An Empirical Study
* Data Augmentation for EEG-Based Emotion Recognition with Deep Convolutional Neural Networks
* Data augmentation for galaxy density map reconstruction
* Data Augmentation for Human Motion Prediction
* Data augmentation for multi-organ detection in medical images
* Data Augmentation for Plant Classification
* Data Augmentation for Scene Text Recognition
* Data augmentation for univariate time series forecasting with neural networks
* data augmentation framework by mining structured features for fake face image detection, A
* Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder
* Data augmentation method for improving the accuracy of human pose estimation with cropped images
* data augmentation methodology for training machine/deep learning gait recognition algorithms, A
* Data Augmentation of Minority Class with Transfer Learning for Classification of Imbalanced Breast Cancer Dataset Using Inception-V3
* Data Augmentation on Graphs for Table Type Classification
* Data Augmentation Strategy Based on Simulated Samples for Ship Detection in RGB Remote Sensing Images, A
* Data Augmentation Using Artificial Immune Systems For Noise-Robust CNN Models
* Data Augmentation Using Bitplane Information Recombination Model
* Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation
* Data Augmentation Using Part Analysis for Shape Classification
* Data Augmentation Using Random Image Cropping and Patching for Deep CNNs
* Data Augmentation via Face Morphing for Recognizing Intensities of Facial Emotions
* Data Augmentation via Image Registration
* Data Augmentation via Latent Space Interpolation for Image Classification
* Data Augmentation via Mixed Class Interpolation using Cycle-Consistent Generative Adversarial Networks Applied to Cross-Domain Imagery
* Data Augmentation with Improved Generative Adversarial Networks
* Data augmentation with occluded facial features for age and gender estimation
* Data Augmentation, Generative Network, Convolutional Network
* Data Augmented 3D Semantic Scene Completion with 2D Segmentation Priors
* Data Augmented Deep Behavioral Cloning for Urban Traffic Control Operations Under a Parallel Learning Framework
* Data Augmented Dynamic Time Warping for Skeletal Action Classification
* Data Autodiscovery: The Role of the OPD
* data base for arabic handwritten text recognition research, A
* Data Based Steering of Virtual Human Using a Velocity-Space Approach
* Data behind mobile behavioural biometrics: A Survey
* Data broadcasting and seamless channel transition for highly demanded videos
* Data Capture Framework for Improving The Quality of Subsurface Utility Information, A
* Data categorization for a context return applied to logical document structure recognition
* Data Characterization for Effective Prototype Selection
* Data classification based on tolerant rough set
* Data Classification on Multiple Manifolds
* Data clustering as an optimum-path forest problem with applications in image analysis
* Data clustering using evidence accumulation
* Data Clustering Using Variational Learning of Finite Scaled Dirichlet Mixture Models with Component Splitting
* Data clustering: 50 years beyond K-means
* Data clustering: A review
* Data Combination and Feature Selection for Multisource Forest Inventory
* Data Comparison and Cross-Calibration between Level 1 Products of DPC and POSP Onboard the Chinese GaoFen-5(02) Satellite
* Data Complexity Analysis: Linkage between Context and Solution in Classification
* Data complexity assessment in undersampled classification of high-dimensional biomedical data
* Data compression algorithms with maximum error control
* Data Compression and Encryption Using Cellular Automata Transforms
* Data Compression and Enhancement of Sampled Images
* Data Compression and Local Metrics for Nearest Neighbor Classification
* Data Compression and Transmission Aspects of Panoramic Videos
* Data compression by volume prototypes for streaming data
* Data Compression Conference
* Data compression for measured heterogeneous subsurface scattering via scattering profile blending
* Data Compression Issues in Automatic Target Recognition and the Measuring of Distortion
* data compression method on Chinese fonts using classification techniques, A
* Data Compression of Integral Images for 3D TV
* Data Compression of Kanji Character Patterns Digitized in the Hexagonal Mesh
* Data compression on multifont Chinese character patterns
* Data compression on the illumination adjustable images by PCA and ICA
* Data compression system having perceptually weighted motion vectors
* Data Compression Through a Rectangular Transform
* Data Compression Using New Fast Adaptive Cosine Haar Transforms
* Data Compression Using Static Huffman Code-Decode Tables
* Data compression with spherical wavelets and wavelets for the image-based relighting
* Data Compression
* Data Compression: The Complete Reference
* Data Condensation in Large Databases by Incremental Learning with Support Vector Machines
* Data Consistency Based Rigid Motion Artifact Reduction in Fan-Beam CT
* Data Consistency Based Translational Motion Artifact Reduction in Fan-Beam CT
* Data Consistency Conditions for Cone-Beam Projections on a Circular Trajectory
* Data Cube Metamodel for Geographic Analysis Involving Heterogeneous Dimensions, A
* Data Decomposition and Spatial Mixture Modeling for Part Based Model
* Data decomposition using independent component analysis with prior constraints
* Data Dependence Analysis and Bit-Level Systolic Arrays of the Median Filter
* Data dependency in multiple classifier systems
* Data dependent classifer fusion for construction of stable effective algorithms
* Data Dependent Filters for Edge Enhancement of Landsat Images
* Data Dependent Multiscale Model for Hyperspectral Unmixing With Spectral Variability, A
* Data Description in Subspaces
* Data dimension reduction in training strategy for face recognition system
* Data dimensionality estimation methods: a survey
* Data Discernment for Affordable Training in Medical Image Segmentation
* Data dissemination in service discovery for vehicular ad hoc networks: a survey
* Data Dissemination in VANETs: A Scheduling Approach
* Data Distillation: Towards Omni-Supervised Learning
* Data Distribution Concepts for Parallel Image Processing
* Data Driven 2-D-to-3-D Video Conversion for Soccer
* Data driven analysis of functional brain networks in fMRI for schizophrenia investigation
* Data Driven and Model Driven Selection Using Parallel Line Groups
* Data driven approach to estimating fire danger from satellite images and weather information
* Data Driven Approach to Match Demand and Supply for Public Transport Planning, A
* Data driven coded aperture design for depth recovery
* Data Driven Constraints for the SVM
* Data Driven Decision Analysis in Bank Financial Management with Goal Programming Model
* Data Driven Evaluation of Crowds
* Data driven frequency mapping for computationally scalable object detection
* Data Driven Image Models through Continuous Joint Alignment
* Data driven mean-shift belief propagation for non-gaussian MRFs
* data driven method for feature transformation, A
* Data Driven Model Acquisition using Minimum Description Length
* Data driven multi-index hashing
* Data Driven Performance Analysis Approach for Enhancing the QoS of Public Charging Stations, A
* Data Driven Refinement of Active Shape Model Search
* Data Driven Rule Proposal for Grammar Based Facade Reconstruction
* Data Driven Service Orchestration for Vehicular Networks
* Data Driven Tight Frame for Compressed Sensing MRI Reconstruction via Off-the-Grid Regularization
* Data driven visual tracking via representation learning and online multi-class LPBoost learning
* Data Efficient 3D Learner via Knowledge Transferred from 2D Model
* Data embedding in digital images using critical functions
* Data embedding in high efficiency video coding (HEVC) videos by modifying the partitioning of coding units
* Data Embedding in JPEG Bitstream by Code Mapping
* Data Embedding in Text for a Copier System
* Data Embedding into Characters
* Data Embedding into Pictorial Images with Less Distortion Using Discrete Cosine Transform
* Data Embedding Technique for Spatial Scalable Coded Video Using Motion Vector Predictor, A
* Data encryption based blockchain and privacy preserving mechanisms towards big data
* Data Enrichment in Fine-Grained Classification of Aquatic Macroinvertebrates
* Data envelopment analysis based efficiency measurement of engineering change controlling for infrastructure construction under integrated project delivery mode
* Data Equalization with Evidence Combination for Pattern Recognition
* Data equilibrium based automatic image annotation by fusing deep model and semantic propagation
* Data Extraction Algorithm for Energy Performance Certificates (EPC) to Estimate the Maximum Economic Damage of Buildings for Economic Impact Assessment of Floods in Flanders, Belgium
* Data Extraction and Classification from Film
* Data extraction from digital repeat photography using xROI: An interactive framework to facilitate the process
* Data Extraction from Web Tables: The Devil is in the Details
* Data Extrapolation From Learned Prior Images for Truncation Correction in Computed Tomography
* Data feature selection based on Artificial Bee Colony algorithm
* Data Field-Based K-Means Clustering for Spatio-Temporal Seismicity Analysis and Hazard Assessment
* Data Field Method For Urban Remotely Sensed Imagery Classification Considering Spatial Correlation, A
* Data Filtering and Feature Extraction of Urban Typical Objects from Airborne LIDAR Point Cloud
* Data Fitting by Spline Functions Using the Biorthonormal Basis of the B-spline Basis
* Data Fitting on Manifolds with Composite Bézier-Like Curves and Blended Cubic Splines
* Data for Character Recognition Studies
* Data Forensics Constructions from Cryptographic Hashing and Coding
* Data Freshness and Energy-Efficient UAV Navigation Optimization: A Deep Reinforcement Learning Approach
* Data Fusion Algorithm Design of GPS/IMU Based on Fuzzy Adaptive Federated Kalman Filter
* Data Fusion and Accuracy Analysis of Multi-Source Land Use/Land Cover Datasets along Coastal Areas of the Maritime Silk Road
* Data Fusion and Confidence Measure in Image Feature Detection
* Data Fusion and Fuzzy Spatial Relationships for Locating Deep Brain Stimulation Targets in Magnetic Resonance Images
* Data Fusion and Multicue Data Matching by Diffusion Maps
* Data Fusion Approach for Employing Multiple Classifiers to Improve Lake Shoreline Analysis
* Data fusion approach for Urban area identification using multisensor information
* data fusion approach to tumor delineation, A
* Data Fusion by Matrix Factorization
* Data Fusion for 3D Gestures Tracking using a Camera mounted on a Robot
* Data Fusion for Building Reconstruction from Multi-Aspect INSAR Data
* Data Fusion for Classification and Object Extraction
* Data Fusion for Drawing and Analysis of An Ancient Roman Boat In Herculaneum
* Data Fusion for Estimating High-Resolution Urban Heatwave Air Temperature
* Data Fusion for Multi-Source Sensors Using GA-PSO-BP Neural Network
* Data Fusion for Photorealistic 3D Models
* Data Fusion for Reconstruction of a DTM, Under a Woodland Canopy, From Airborne L-band InSAR
* Data fusion for robust head tracking by particles
* Data Fusion for Satellite-Derived Earth Surface: The 2021 Topographic Map of Etna Volcano
* Data Fusion for Sensory Information Processing Systems
* Data Fusion for the Detection and Reconstruction of Buildings
* Data Fusion from Multiple Stations for Estimation of PM2.5 in Specific Geographical Location
* Data fusion in Cultural Heritage: A Review
* Data Fusion in Earth Observation and the Role of Citizen as a Sensor: A Scoping Review of Applications, Methods and Future Trends
* Data Fusion in Robotics and Machine Intelligence
* Data Fusion in Sensor Networks
* Data Fusion Method for Generating Hourly Seamless Land Surface Temperature from Himawari-8 AHI Data, A
* Data Fusion Method for the Delayering of X-Ray Fluorescence Images of Painted Works of Art, A
* Data Fusion of Different Spatial Resolution Remote Sensing Images Applied to Forest-Type Mapping
* Data fusion of high-resolution satellite imagery and GIS data for automatic building extraction
* Data fusion of high-resolution satellite imagery and LiDAR data for automatic building extraction
* Data Fusion of Historical Photographs with Modern 3d Data for An Archaeological Excavation - Concept and First Results
* Data fusion of Left Ventricle Electro-Anatomical Mapping and Multislice Computerized Tomography
* Data Fusion of Lidar into a Region Growing Stereo Algorithm
* Data Fusion of Objects Using Techniques Such as Laser Scanning, Structured Light and Photogrammetry for Cultural Heritage Applications
* Data Fusion of XRF and Vis-NIR Using Outer Product Analysis, Granger-Ramanathan, and Least Squares for Prediction of Key Soil Attributes
* Data Fusion Powered Bi-Directional Long Short Term Memory Model for Predicting Multi-Lane Short Term Traffic Flow, A
* Data Fusion Solution to the Accuracy-efficiency Trade-off Problem in Motion Estimation, A
* Data Fusion Technique Using Wavelet Transform and Taguchi Methods for Automatic Landslide Detection From Airborne Laser Scanning Data and QuickBird Satellite Imagery
* Data Fusion Technology of Multi-Platform Earth Observation on Agriculture
* Data fusion through cross-modality metric learning using similarity-sensitive hashing
* Data Fusion Using a Multi-Sensor Sparse-Based Clustering Algorithm
* Data Fusion Using an MLP
* Data fusion with a multisensor system for damage control and situational awareness
* Data Fusion with Integration of Airborne Laser Scanning Data and Ortho-aerial Photos
* Data fusion
* Data Fusion, De-noising, and Filtering to Produce Cloud-Free High Quality Temporal Composites Employing Parallel Temporal Map Algebra
* Data Gap Classification for Terrestrial Laser Scanning-Derived Digital Elevation Models
* Data gap decomposed by auxiliary modality for NIR-VIS heterogeneous face recognition
* Data Gap Filling Using Cloud-Based Distributed Markov Chain Cellular Automata Framework for Land Use and Land Cover Change Analysis: Inner Mongolia as a Case Study
* Data granulation by the principles of uncertainty
* Data Graph Formulation as the Minimum-Weight Maximum-Entropy Problem
* Data GroundTruth, Complexity, and Evaluation Measures for Color Document Analysis
* Data handling displays
* Data Hiding Algorithm for H.264/AVC Video Streams Without Intra-Frame Distortion Drift, A
* Data Hiding and the Statistics of Images
* Data hiding based error recovery for H.264 video streaming over wireless networks
* Data hiding based on image texture classification
* Data hiding based quality access control of digital images using adaptive QIM and lifting
* Data Hiding for Video-in-Video
* Data Hiding in Binary Images with Distortion-Minimizing Capabilities by Optimal Block Pattern Coding and Dynamic Programming Techniques
* Data Hiding in Computer-Generated Stained Glass Images and Its Applications to Information Protection
* Data hiding in curves for collusion-resistant digital fingerprinting
* Data hiding in encrypted images based on predefined watermark embedding before encryption process
* Data Hiding in Film Grain
* Data hiding in grayscale images by dynamic programming based on a human visual model
* Data Hiding in H.264/AVC Video Files Using the Coded Block Pattern
* Data hiding in halftone images with noise-balanced error diffusion
* Data hiding in halftone images with secret-shared dot diffusion
* Data hiding in image and video. I. Fundamental issues and solutions
* Data hiding in image and video. II. Designs and applications
* Data Hiding in Images With Adaptive Numbers of Least Significant Bits Based on the Human Visual System
* Data hiding in JPEG 2000 code streams
* Data hiding in MPEG-2 bitstream by creating exceptions in code space
* Data Hiding in MPEG Compressed Audio Using Wet Paper Codes
* Data Hiding in Spatial Color Images on Smartphones by Adaptive R-G-B LSB Replacement
* Data hiding in video
* Data hiding of intra prediction information in chroma samples for video compression
* Data Hiding on H.264/AVC Compressed Video
* Data Hiding Robust to Mobile Communication Vocoders
* data hiding scheme based on multidirectional line encoding and integer wavelet transform, A
* Data hiding scheme improving embedding capacity using mixed PVD and LSB on bit plane
* data hiding scheme using parity-bit pixel value differencing and improved rightmost digit replacement, A
* Data hiding technologies for digital radiography
* Data hiding using trellis coded quantization
* Data hiding watermarking for halftone images
* Data Hiding, Steganography, Adversarial Networks, Convolutional Networks, Deep Learning
* Data Hiding, Steganography, LSB, Least Significant Bit
* Data Hiding, Steganography, Pixel Difference
* Data Hiding, Steganography, Random Grids, Random Dots
* Data imputation in deep neural network to enhance breast cancer detection
* Data Induced Metric and Fuzzy Clustering of Nonconvex Patterns of Arbitrary Shape
* Data InStance Prior (DISP) in Generative Adversarial Networks
* Data insufficiency in sketch versus photo face recognition
* Data Integration Acquired From Micro-UAV And Terrestrial Laser Scanner For The 3d Mapping Of Jesuit Ruins Of São Miguel Das Missões
* Data Integration for Climate Vulnerability Mapping in West Africa
* Data integration from different sources to create 3D virtual model
* Data Interoperability of Building Information Modeling and Geographic Information System In Construction Industry
* Data Invariants to Understand Unsupervised Out-of-Distribution Detection
* Data Level Fusion of Multilook Inverse Synthetic Aperture Radar (ISAR) Images
* Data Lifecycle Management in Evolving Input Distributions for Learning-based Aerospace Applications
* Data lifecycles analysis: Towards intelligent cycle
* Data Management and Internet Computing for Image/Pattern Analysis
* Data Management Based on Geocoding Index And Adaptive Visualization for Airborne LIDAR
* Data management for rotated sampled images
* Data Management Framework Of Drone-based 3d Model Reconstruction Of Disaster Site
* Data Management in Collaborative Interdisciplinary Research Projects: Conclusions from the Digitalization of Research in Sustainable Manufacturing
* Data Management Method For Efficient Search and Rendering of Multiple Large Scale Point Clouds, A
* Data matching of building polygons at multiple map scales improved by contextual information and relaxation
* Data memory power optimization and performance exploration of embedded systems for implementing motion estimation algorithms
* Data Mining Applied for Determining Stream Flow Permanence
* Data Mining Applied to Acoustic Bird Species Recognition
* Data mining approach for coronary artery disease screening
* data mining approach for evaluation of optimal time-series of MODIS data for land cover mapping at a regional level, A
* Data Mining Approach for Sharpening Thermal Satellite Imagery over Land, A
* data mining approach to face detection, A
* Data Mining Approach to Reading Order Detection, A
* Data Mining as a Cloud Service for Learning Artificial Intelligence
* Data mining by density estimation using wavelet
* Data Mining by Navigation: An Experience with Systems Biology
* Data Mining for Action Recognition
* Data Mining for Features Using Scale-Sensitive Gated Experts
* Data Mining for Knowledge Discovery from Object-Based Segmentation of VHR Remotely Sensed Imagery
* Data mining for large scale 3D seismic data analysis
* Data mining from multiple heterogeneous relational databases using decision tree classification
* Data Mining in Systematic Reviews: A Bibliometric Analysis of Game-Based Learning and Distance Learning
* Data Mining Meets the Needs of Disaster Information Management
* Data mining with a simulated annealing based fuzzy classification system
* data model and query language for spatio-temporal decision support, A
* Data Model for IndoorGML Extension to Support Indoor Navigation of People with Mobility Disabilities
* Data modeling and method analysis for brain imaging genetics
* Data Modeling and Optimization for Wireless Drive-Through Applications
* Data Modeling for Museum Collections
* Data Normalization for Bilinear Structures in High-Frequency Financial Time-series
* Data Optimization for 3d Modeling and Analysis of a Fortress Architecture
* Data Orchestration for Accelerating GPU-Based Light Field Rendering Aiming at a Wide Virtual Space
* Data output apparatus capable of rotating data output therefrom relative to data input thereto
* Data Ownership and Secure Medical Data Transmission using Optimal Multiple Key-Based Homomorphic Encryption with Hyperledger Blockchain
* Data packing vs processing speed on low-cost massively parallel systems: A case study
* data parallel implementation of an edge point chaining: towards a new principle of edge linking, A
* Data partitioning and coding of DCT coefficients based on requantization for error-resilient transmission of video
* Data Partitioning for Parallel Spatial Join Processing
* Data Pre-Processing and Signal Analysis of Tianwen-1 Rover Penetrating Radar
* Data Preparation Impact on Semantic Segmentation of 3D Mobile LiDAR Point Clouds Using Deep Neural Networks
* Data preprocessing and feature selection techniques in gait recognition: A comparative study of machine learning and deep learning approaches
* Data preprocessing for adaptive vector quantization
* Data Processing Algorithms for Generating Textured 3D Building Facade Meshes from Laser Scans and Camera Images
* Data Processing and Analysis Approach to Retrieve Carbon Dioxide Weighted-Column Mixing Ratio and 2-mu m Reflectance With an Airborne Laser Absorption Spectrometer
* Data Processing and Analysis of Eight-Beam Wind Profile Coherent Wind Measurement Lidar
* Data processing and imaging for MingantU SpEctral Radioheliograph (MUSER)
* Data Processing and Interpretation of Antarctic Ice-Penetrating Radar Based on Variational Mode Decomposition
* Data Processing Concepts for the Integration of SAR into Operational Volcano Monitoring Systems
* Data Processing Flow and Algorithms Study of Acquiring DEMs Using Interferometric SAR, The
* Data Processing for the Space-based DESIS Hyperspectral Sensor
* Data Processing in 3D Video System Based on Data from Structered Light Measurement System
* Data Processing Issues in Cloud Computing
* Data processing method of binary graphic pattern and system therefor
* Data Processing of Gravity Base Network in Plateau Area: The Case of Qinghai Province, China
* Data processing workflows from low-cost digital survey to various applications: three case studies of Chinese historic architecture
* Data Product Specification Proposal for Architectural Heritage Documentation with Photogrammetric Techniques: A Case Study in Brazil
* Data Protection in Palmprint Recognition via Dynamic Random Invisible Watermark Embedding
* Data Quality Assessment Approach for High-Precision GNSS Continuously Operating Reference Stations (CORS) with Case Studies in Hong Kong and Canada/USA, A
* Data Quality Evaluation of Sentinel-1 and GF-3 SAR for Wind Field Inversion
* Data Quality in the Integration and Analysis of Data from Multiple Sources: Some Research Challenges
* Data Ranking and Clustering via Normalized Graph Cut Based on Asymmetric Affinity
* Data rate and dynamic range compression of medical images: Which one goes first?
* Data Rate Reduction for Video Streams in Teleoperated Driving
* Data rate smoothing in interactive walkthrough applications using 2D prefetching
* Data Reconstruction for Remotely Sensed Chlorophyll-a Concentration in the Ross Sea Using Ensemble-Based Machine Learning
* Data Reduction Algorithm for Planar Curves, A
* Data Reduction Method for Efficient Document Skew Estimation Based on Hough Transformation, A
* Data reduction of large vector graphics
* Data Reduction Using Statistical and Regression Approaches for Ice Velocity Derived by Landsat-8, Sentinel-1 and Sentinel-2
* Data reductive image coding by bit-plane modifications
* Data redundancy and reduced-scan reconstruction in reflectivity tomography
* Data Registration with Ground Points for Roadside LiDAR Sensors
* Data Reliability Enhancement for Wind-Turbine-Mounted Lidars
* Data Representation and Learning With Graph Diffusion-Embedding Networks
* Data Representation in Hybrid Coding Framework for Feature Maps Compression
* Data representations and generalization error in kernel based learning machines
* Data Resampling for Path Based Clustering
* Data science, big data and granular mining
* Data security based on homographic function
* Data Security Through Zero-Knowledge Proof and Statistical Fingerprinting in Vehicle-to-Healthcare Everything (V2HX) Communications
* Data Segmentation of Stereo Images with Complicated Background
* Data Separation of L1-minimization for Real-time Motion Detection
* Data Service Platform for Sentinel-2 Surface Reflectance and Value-Added Products: System Use and Examples
* Data Set for Airborne Maritime Surveillance Environments, A
* Data Set for Camera-Independent Color Constancy, A
* Data Set for Colour Research, A
* Data Set for Fall Detection with Smart Floor Sensors, A
* Data Set for Quantitative Motion Analysis, A
* Data Set for the Study of Human Locomotion with Inertial Measurements Units, A
* Data Simulation of Ladar Sensor: Focusing on Geometric Modeling
* Data Specific Spatially Varying Regularization for Multimodal Fluorescence Molecular Tomography
* Data stream mining for multitemporal remote sensing data
* Data Structure and Algorithm Based on a Linear Key for a Rectangle Retrieval Problem, A
* Data Structure and Algorithms 2: Graphs Algorithms and NP-Completeness
* Data Structure Suitable for Representing the Calligraphic Rules for Chinese Character Evaluation, A
* data structure using hashing and tries for efficient Chinese lexical access, A
* Data Structures and Pattern Recognition
* Data Structures for Image Processing in a C Language and Unix Environment
* Data Structures for Image Processing in C
* Data structures for multilayer N-dimensional data using hierarchical structure
* Data Structures for Picture Processing: A Survey
* Data Structures for Quadtree Approximation and Compression
* Data Structures for Range Searching
* Data Structures for the Rectangle Containment and Enclosure Problems
* Data Structures in Kernel Density Estimation
* Data Sufficiency for Online Writer Identification: A Comparative Study of Writer-Style Space vs. Feature Space Models
* Data Synergy between Altimetry and L-Band Passive Microwave Remote Sensing for the Retrieval of Sea Ice Parameters: A Theoretical Study of Methodology
* Data synthesis method preserving correlation of features
* data targeting method based on trilateration principle, A
* Data throughput and robustness studies in a new digital image watermarking technique based upon adaptive segmentation and space-frequency representation (WASSFR)
* Data Transformation Functions for Expanded Search Spaces in Geographic Sample Supervised Segment Generation
* Data Transformation of the Histogram Feature in Object Detection
* Data Uncertainty in Face Recognition
* Data Uncertainty Learning in Face Recognition
* Data Updating Methods for Spatial Data Infrastructure That Maintain Infrastructure Quality and Enable Its Sustainable Operation
* Data Vases: 2D and 3D Plots for Visualizing Multiple Time Series
* Data Visualization by Multidimensional Scaling: A Deterministic Annealing Approach
* Data Visualization with Structural Control of Global Cohort and Local Data Neighborhoods
* Data Visualization
* Data, Models, and Images
* DATA: Differentiable ArchiTecture Approximation With Distribution Guided Sampling
* DATA: Domain-Aware and Task-Aware Self-supervised Learning
* Database-Guided Automatic Inspection of Vertically Structured Transportation Objects from Mobile Mapping Image Sequences
* Database-Guided Segmentation of Anatomical Structures with Complex Appearance
* Database-Guided Simultaneous Multi-slice 3D Segmentation for Volumetric Data
* Database and Evaluation Methodology for Optical Flow, A
* Database Approach to Very Large LIDAR Data Management, A
* Database Architecture for Autonomous Transportation Agents for On-scene Networked Incident Management (ATON)
* Database Capture System for Mechanical Drawings Using an Efficient Multi-Dimensional Graphical Data Structure, A
* Database Development and Recognition of Handwritten Devanagari Legal Amount Words
* Database for Arabic Handwritten Text Image Recognition and Writer Identification, A
* Database for Arabic Printed Character Recognition, A
* Database for Arabic Printed Text Recognition Research
* database for automatic classification of forest species, A
* Database for Face Presentation Attack Using Wax Figure Faces, A
* database for facial behavioural analysis, A
* database for fine grained activity detection of cooking activities, A
* database for handwriting recognition research in Sinhala language, A
* Database for Handwritten Text Recognition Research, A
* Database for Multifactorial UAV Accuracy Assessments, The
* Database for Offline Arabic Handwritten Text Recognition, A
* database for perceptual evaluation of image aesthetics, A
* Database for Person Re-Identification in Multi-Camera Surveillance Networks, A
* Database for the Architectural Heritage Recovery Between Italy and Switzerland, A
* Database Indexing Methods for 3D Hand Pose Estimation
* Database Indexing Using Bag of Words, Bag of Features
* Database Indexing Using Color and Shape or Regions
* Database Indexing Using Color
* Database Indexing Using Complex Features or Object Models
* Database Indexing Using Region Features
* Database Indexing Using Shape Descriptions and Features
* Database Indexing Using Texture
* Database Indexing Using Various Features, Multiple Features
* Database Indexing, Specific Tasks
* Database Issues, Finding People
* Database Management System For Vision Applications, A
* Database of Handwritten Arabic Mathematical Formula Images
* Database of human segmented images and its application in boundary detection
* Database of Human Segmented Natural Images and its Application to Evaluating Segmentation Algorithms and Measuring Ecological Statistics, A
* Database of Human Segmented Natural Images and its Application to Evaluating Segmentation Algorithms, A
* database of reflected irradiance field with depth for image based relighting, A
* Database of Segmented MRI Images of the Wrist and the Hand in Patients with Rheumatic Diseases, A
* Database of Spectral Filter Array Images that Combine Visible and NIR, A
* Database of Students' Actions Based on Real Classroom Environment, A
* database of unconstrained Vietnamese online handwriting and recognition experiments by recurrent neural networks, A
* Database of Visual Color Differences of Modern Smartphone Photography, A
* Database Organisation In A Web-enabled Free And Open-source Software (FOSS) Environment For Spatio-temporal Landslide Modelling
* Database Representations in Hierarchical Scene Analysis
* Database Saliency for Fast Image Retrieval
* Database Size Effects on Performance on a Smart Card Face Verification System
* Database Structure and Manipulation Capabilities of a Picture Database Management System (PICDMS)
* Database Support for Automated Photo-Interpretation
* Database Support for Exploitation Image Understanding
* Database, protocols and tools for evaluating score-level fusion algorithms in biometric authentication
* Databases and Competitions: Strategies to Improve Arabic Recognition Systems
* Databases for recognition of handwritten Arabic cheques
* Databases for research on recognition of handwritten characters of Indian scripts
* Databases or Datasets for Applications
* Databases Traceability by Means of Watermarking with Optimized Detection
* Datacap
* DataCAP: A Satellite Datacube and Crowdsourced Street-Level Images for the Monitoring of the Common Agricultural Policy
* Datagen: A Generator of Datasets for Evaluation of Classification Algorithms
* Dataless Model Selection With the Deep Frame Potential
* Datamix: Efficient Privacy-preserving Edge-cloud Inference
* Dataset-Dispersion Perspective on Reconstruction Versus Recognition in Single-View 3D Reconstruction Networks, A
* Dataset-Driven Unsupervised Object Discovery for Region-Based Instance Image Retrieval
* Dataset agnostic document object detection
* Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology, A
* Dataset and Architecture for Visual Reasoning with a Working Memory, A
* Dataset and Benchmark for Large-Scale Multi-Modal Face Anti-Spoofing, A
* Dataset and Evaluation Methodology for Depth Estimation on 4D Light Fields, A
* Dataset and Exploration of Models for Understanding Video Data through Fill-in-the-Blank Question-Answering, A
* Dataset and Pipeline for Multi-view Light-Field Video
* Dataset Auditing Method for Collaboratively Trained Machine Learning Models, A
* Dataset bias exposed in face verification
* Dataset Bias in Deception Detection
* Dataset Bias in Few-Shot Image Recognition
* Dataset Condensation with Distribution Matching
* Dataset Culling: Towards Efficient Training of Distillation-Based Domain Specific Models
* Dataset Distillation by Matching Training Trajectories
* Dataset fingerprints: Exploring image collections through data mining
* dataset for Arabic text detection, tracking and recognition in news videos- AcTiV, A
* Dataset for Benchmarking Image-Based Localization, A
* dataset for computer-vision-based PCB analysis, A
* dataset for Hand-Held Object Recognition, A
* Dataset for Interactive Vision-Language Navigation with Unknown Command Feasibility, A
* Dataset for Lane Instance Segmentation in Urban Environments, A
* dataset for Movie Description, A
* Dataset for Persistent Multi-target Multi-camera Tracking in RGB-D, A
* Dataset for Quality Assessment of Camera Captured Document Images, A
* dataset for workflow recognition in industrial scenes, A
* Dataset Generation Framework for Evaluating Megapixel Image Classifiers and Their Explanations, A
* Dataset Issues in Object Recognition
* Dataset Knowledge Transfer for Class-Incremental Learning without Memory
* Dataset of Flash and Ambient Illumination Pairs from the Crowd, A
* Dataset of Multi-Illumination Images in the Wild, A
* Dataset of Overshooting Cloud Top from 12-Year CloudSat/CALIOP Joint Observations, A
* Dataset Reduction Techniques to Speed Up SVD Analyses on Big Geo-Datasets
* Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses
* dataset system of Economic Dispute handwritten (DSEDH) based on stroke shape and structure features, The
* Dataset to Support Sexist Content Detection in Arabic Text, A
* Dataset
* DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort
* Date field extraction from handwritten documents using HMMs
* Date field extraction in handwritten documents
* DATFuse: Infrared and Visible Image Fusion via Dual Attention Transformer
* Dating Historical Color Images
* DATNet: Dense Auxiliary Tasks for Object Detection
* DAtRNet: Disentangling Fashion Attribute Embedding for Substitute Item Retrieval
* Datum-Adaptive Local Metric Learning for Person Re-identification
* Datum Transformation of Spatial Data and Application In Cadastre
* DAU-Net: An unsupervised 3D brain MRI registration model with dual-attention mechanism
* Daubechies Complex Wavelet Transform Based Technique For Denoising Of Medical Images
* Daubechies wavelet-based local feature descriptor for multimodal medical image registration
* DAugNet: Unsupervised, Multisource, Multitarget, and Life-Long Domain Adaptation for Semantic Segmentation of Satellite Images
* Dauphin: A Signal Processing Language - Statistical Signal Processing Made Easy
* DAVANet: Stereo Deblurring With View Aggregation
* DaVaW: A Python Library for Medical Image Processing Applications
* DAVD-Net: Deep Audio-Aided Video Decompression of Talking Heads
* DAVE: A Unified Framework for Fast Vehicle Detection and Annotation
* DAVID: Dual-Attentional Video Deblurring
* DAVIS: Densely Annotated VIdeo Segmentation
* DaViT: Dual Attention Vision Transformers
* Davos-Laret Remote Sensing Field Laboratory: 2016/2017 Winter Season L-Band Measurements Data-Processing and Analysis
* Dawn of the Transformer Era in Speech Emotion Recognition: Closing the Valence Gap
* Day-Night Monitoring of Volcanic SO2 and Ash Clouds for Aviation Avoidance at Northern Polar Latitudes
* Day-to-Night Image Synthesis for Training Nighttime Neural ISPs
* Day and Night-Time Dehazing by Local Airlight Estimation
* Day and night vehicle detection and counting in complex environment
* Day at the Bog: Preliminary Interpretation of Prehistoric Human Occupation at Ancient Lake Duvensee (Germany) by GPR Structures, A
* Day on Campus: An Anomaly Detection Dataset for Events in a Single Camera, A
* Day/Night Polarimetric Anomaly Detection Using SPICE Imagery
* Day/night unconstrained image dehazing
* Daylight Colored Optimal Spectra for Improved Color Discrimination
* Daylight spectrum model under weather conditions from clear sky to cloudy
* Dayside corona aurora classification based on X-gray level aura matrices
* Daytime Cloud Detection Algorithm Based on a Multitemporal Dataset for GK-2A Imagery
* Daytime Low Stratiform Cloud Detection on AVHRR Imagery
* Daytime Rainy Cloud Detection and Convective Precipitation Delineation Based on a Deep Neural Network Method Using GOES-16 ABI Images
* Daytime Sea Fog Detection Based on a Two-Stage Neural Network
* Daytime Sea Fog Identification Based on Multi-Satellite Information and the ECA-TransUnet Model
* Daytime Sea Surface Temperature Retrieval Incorporating Mid-Wave Imager Measurements: Algorithm Development and Validation
* Daytime Thermal Anisotropy of Urban Neighbourhoods: Morphological Causation
* DB-GAN: Boosting Object Recognition Under Strong Lighting Conditions
* DB-TASNet for disease diagnosis and lesion segmentation in medical images
* DBAHCL: database for Arabic handwritten characters and ligatures
* DBATES: Dataset for Discerning Benefits of Audio, Textual, and Facial Expression Features in Competitive Debate Speeches
* DBCE: A Saliency Method for Medical Deep Learning Through Anatomically-Consistent Free-Form Deformations
* DBCFace: Towards Pure Convolutional Neural Network Face Detection
* DBDnet: A Deep Boosting Strategy for Image Denoising
* DBF Processing in Range-Doppler Domain for MWE SAR Waveform Separation Based on Digital Array-Fed Reflector Antenna
* DBF: Dynamic Belief Fusion for Combining Multiple Object Detectors
* DBH Estimation for Individual Tree: Two-Dimensional Images or Three-Dimensional Point Clouds?
* DBN-based Spectral Feature Representation for Statistical Parametric Speech Synthesis
* DBN-based structural learning and optimisation for automated handwritten character recognition
* DBN-CRF for spectral-spatial classification of hyperspectral data, A
* DBN wavelet transform denoising method in soybean straw composition based on near-infrared rapid detection
* DBPNet: A dual-branch pyramid network for document super-resolution
* DBQ: A Differentiable Branch Quantizer for Lightweight Deep Neural Networks
* DBS Doppler Centroid Estimation Algorithm Based on Entropy Minimization, A
* DBSCAN and TD Integrated Wi-Fi Positioning Algorithm
* Dbscan Optimization for Improving Marine Trajectory Clustering and Anomaly Detection
* DBUS: Human Driving Behavior Understanding System
* DC-Gnet for detection of glaucoma in retinal fundus imaging
* DC-ShadowNet: Single-Image Hard and Soft Shadow Removal Using Unsupervised Domain-Classifier Guided Network
* DC-SSL: Addressing Mismatched Class Distribution in Semi-Supervised Learning
* DC-VINS: Dynamic Camera Visual Inertial Navigation System with Online Calibration
* DC Coefficient Estimation of Intra-Predicted Residuals in HEVC
* DC coefficient estimation of intra-predicted residuals in high efficiency video coding
* DC coefficient restoration technique and its application to image coding
* DC coefficient restoration using nonlinear criterion and AC coefficients restoration
* DCA-based sparse coding for video summarization with MCP, A
* DCA-based unimodal feature-level fusion of orthogonal moments for Indian sign language dataset
* DCA-CycleGAN: Unsupervised single image dehazing using Dark Channel Attention optimized CycleGAN
* DCACorrCapsNet: A deep channel-attention correlative capsule network for COVID-19 detection based on multi-source medical images
* DCAM: Disturbed class activation maps for weakly supervised semantic segmentation
* DCAN: A Dual Cascade Attention Network for Fusing Pet and MRI Images
* DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation
* DCAN: Dual Channel-Wise Alignment Networks for Unsupervised Scene Adaptation
* DCAR: A Discriminative and Compact Audio Representation for Audio Processing
* DCBAM: A Discrete Chainable Bidirectional Associative Memory
* DCCaps-UNet: A U-Shaped Hyperspectral Semantic Segmentation Model Based on the Depthwise Separable and Conditional Convolution Capsule Network
* DCCF: Deep Comprehensible Color Filter Learning Framework for High-Resolution Image Harmonization
* DCCO: Towards Deformable Continuous Convolution Operators for Visual Tracking
* DCDM-Intra: Dynamically Configurable 3D-HEVC Depth Maps Intra-Frame Prediction Algorithm
* DCDR-GAN: A Densely Connected Disentangled Representation Generative Adversarial Network for Infrared and Visible Image Fusion
* DCE-MRI Analysis Using Sparse Adaptive Representations
* DCE-MRI Driven 3-D Reaction-Diffusion Model of Solid Tumor Growth, A
* DCF with high-speed spatial constraint
* DCFusion: Dual-Headed Fusion Strategy and Contextual Information Awareness for Infrared and Visible Remote Sensing Image
* DCGCR: Dynamic Clustering Green Communication Routing for Intelligent Transportation Systems
* DCIFPN: Deformable cross-scale interaction feature pyramid network for object detection
* DCIL: Deep Contextual Internal Learning for Image Restoration and Image Retargeting
* DCL-Net: Augmenting the Capability of Classification and Localization for Remote Sensing Object Detection
* DCL-Net: Deep Correspondence Learning Network for 6D Pose Estimation
* DCM: A Dense-Attention Context Module For Semantic Segmentation
* DCMSVM: Distributed parallel training for single-machine multiclass classifiers
* DCN-Based Spatial Features for Improving Parcel-Based Crop Classification Using High-Resolution Optical Images and Multi-Temporal SAR Data
* DCN-T: Dual Context Network With Transformer for Hyperspectral Image Classification
* DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation
* DCNet: Large-Scale Point Cloud Semantic Segmentation With Discriminative and Efficient Feature Aggregation
* DCNN-GAN: Reconstructing Realistic Image from fMRI
* DCR-ReID: Deep Component Reconstruction for Cloth-Changing Person Re-Identification
* DCR: A Unified Framework for Holistic/Partial Person ReID
* DCR: Disentangled component representation for sketch generation
* DCSH: Matching Patches in RGBD Images
* DCSLAM: A dynamically constrained real-time slam
* DCSN-Cast: Deep compressed sensing network for wireless video multicast
* DCSN: Deep Compressed Sensing Network for Efficient Hyperspectral Data Transmission of Miniaturized Satellite
* DCSNE: Density-based Clustering using Graph Shared Neighbors and Entropy
* DCSR: Dilated Convolutions for Single Image Super-Resolution
* DCT-Based Adaptive Thresholding Algorithm for Binary Motion Estimation
* DCT-based aliasig cancellation method in subband coding, A
* DCT-based codebook design for vector quantization of images
* DCT-based color image compression algorithm using adaptive block scanning
* DCT-Based Data Hiding for Securing ROI of Color Images
* DCT-based embedded coding for packet video
* DCT-Based Image Protection using Dual-Domain Bi-Watermarking Algorithm
* DCT-based image up-sampling using anchored neighborhood regression
* DCT-Based Iris Recognition
* DCT-based motion estimation method
* DCT-Based Motion Estimation
* DCT-based phase correlation motion estimation
* DCT-Based Regularized Algorithm for High-Resolution Image Reconstruction
* DCT-Based Residual Network for NIR Image Colorization
* DCT-based Scalable Video Coding with Drift
* DCT-Based Spatially Adaptive Post-Processing Technique to Reduce the Blocking Artifacts in Transform Coded Images, A
* DCT-Based Subpixel Motion Compensation and Fully DCT-Based Video Coder
* DCT-Based Total JND Profile for Spatiotemporal and Foveated Masking Effects, A
* DCT-Based Video Downscaling Transcoder Using Split and Merge Technique
* DCT-Based Watermark Recovering without Resorting to the Uncorrupted Original Image
* DCT-Based Watermarking for Video
* DCT-domain Blind Watermarking System Using Optimum Detection on Laplacian Model, A
* DCT-domain coder for digital video applications
* DCT-domain deep convolutional neural networks for multiple JPEG compression classification
* DCT-Domain Image Retrieval Via Block-Edge-Patterns
* DCT-Domain Predictive Coding Method for Video Compression
* DCT-Domain Spatial Transcoding Using Generalized DCT Decimation
* DCT-domain Video Combiner with Efficienct Bit Allocation, A
* DCT-Domain Watermarking Techniques for Still Images: Detector Performance Analysis and a New Structure
* DCT-Mask: Discrete Cosine Transform Mask Representation for Instance Segmentation
* DCT-net: A deep co-interactive transformer network for video temporal grounding
* DCT-prediction Based Progressive Fine Granularity Scalability Coding
* DCT-QM: A DCT-Based Quality Degradation Metric for Image Quality Optimization Problems
* DCT-SNN: Using DCT to Distribute Spatial Information over Time for Low-Latency Spiking Neural Networks
* DCT and wavelet based representations of arbitrarily shaped image segments
* DCT Approximation for Image Compression, A
* DCT approximation for low bit rate coding using a conditional transform
* DCT approximations based on Chen's factorization
* DCT Based Approach for Tampered Image Detection and Recovery Using Block Wise Fragile Watermarking Scheme
* DCT based gradient vector flow snake for object boundary detection, A
* DCT Based High Quality Image Compression
* DCT Based Information-Preserving Pooling for Deep Neural Networks
* DCT based segmentation applied to a scalable zenithal people counter
* DCT based simple classification scheme for fractal image compression
* DCT Block Coding -- Block Artifacts in DCT
* DCT coding for motion video storage using adaptive arithmetic coding
* DCT Coefficient Distribution Modeling and Quality Dependency Analysis Based Frame-Level Bit Allocation for HEVC
* DCT Coefficient Prediction for JPEG Image Coding
* DCT coefficients generation model for film grain noise and its application in super-resolution
* DCT Coefficients Recovery Based Error Concealment Technique and Its Application to the MPEG-2 Bit Stream Error
* DCT Coefficients Weighting (DCTCW)-Based Gray Wolf Optimization (GWO) for Brightness Preserving Image Contrast Enhancement
* DCT color image sequence coding
* DCT computation based on variable complexity fast approximations
* DCT Computation
* DCT Convolution and its Application in Compressed Domain
* DCT domain alpha blending
* DCT Domain Frame-Skipping Transcoder, A
* DCT Domain System for Robust Image Watermarking, A
* DCT Domain Transcoding of H.264/AVC Video into MPEG-2 Video
* DCT Embedded Subband AMBTC Image Coder, A
* DCT histogram optimization for image database retrieval
* DCT image denoising: a simple and effective image denoising algorithm
* DCT Inspired Feature Transform for Image Retrieval and Reconstruction
* DCT of Spatially Adaptive Subsampled Interframes for Image Sequence Coding
* DCT Quantization Noise in Compressed Images
* DCT Regularized Extreme Visual Recovery
* DCT Statistics-Based Blind Image Quality Index, A
* DCT Statistics Model-Based Blind Image Quality Assessment
* DCT Transform Coding of Stereo Images for Multimedia Applications
* DCT
* DCT/DPCM Processing of NTSC Composite Video Signal
* DCT/DST-based error propagation-free data hiding algorithm for HEVC intra-coded frames, A
* DCT/DST-Based Transform Coding for Intra Prediction in Image/Video Coding
* Dct/dwt blind multiplicative watermarking through student-t distribution
* DCT/IDCT Filter Design for Ultrasound Image Filtering
* DCT/IDCT processor design for high data rate image coding
* DCT2net: An Interpretable Shallow CNN for Image Denoising
* DCTM: Discrete-Continuous Transformation Matching for Semantic Flow
* DcTr: Noise-robust point cloud completion by dual-channel transformer with cross-attention
* DCU collaborative video search system
* DCVGAN: Depth Conditional Video Generation
* DCVNet: Dilated Cost Volume Networks for Fast Optical Flow
* DCVQE: A Hierarchical Transformer for Video Quality Assessment
* DD-YOLO: An object detection method combining knowledge distillation and Differentiable Architecture Search
* DDAD: Detachable Crowd Density Estimation Assisted Pedestrian Detection
* Ddanet: Dual Decoder Attention Network for Automatic Polyp Segmentation
* DDAT: Dual domain adaptive translation for low-resolution face verification in the wild
* DDBN: Dual detection branch network for semantic diversity predictions
* DDcGAN: A Dual-Discriminator Conditional Generative Adversarial Network for Multi-Resolution Image Fusion
* DDD17: End-To-End DAVIS Driving Dataset
* DDet: Dual-Path Dynamic Enhancement Network for Real-World Image Super-Resolution
* DDFP: A data driven filter pruning method with pruning compensation
* Ddgcn: A Dynamic Directed Graph Convolutional Network for Action Recognition
* DDL-MVS: Depth Discontinuity Learning for Multi-View Stereo Networks
* DDLA: dual deep learning architecture for classification of plant species
* DDLPS: Detail-Based Deep Laplacian Pansharpening for Hyperspectral Imagery
* DDLSTM: Dual-Domain LSTM for Cross-Dataset Action Recognition
* DDNeRF: Depth Distribution Neural Radiance Fields
* DDNet: 3D densely connected convolutional networks with feature pyramids for nasopharyngeal carcinoma segmentation
* DDoS Mitigation Based on Space-Time Flow Regularities in IoV: A Feature Adaption Reinforcement Learning Approach
* DDPNAS: Efficient Neural Architecture Search via Dynamic Distribution Pruning
* DDRNet: Depth Map Denoising and Refinement for Consumer Depth Cameras Using Cascaded CNNs
* DDRNet: Fast point cloud registration network for large-scale scenes
* DDSL: Deep Differentiable Simplex Layer for Learning Geometric Signals
* DDSM: Digital Database for Screening Mammography
* DDT: Decentralized event Detection and Tracking using an ensemble of vertex-reinforced walks on a graph
* DDUNet: Dense Dense U-Net with Applications in Image Denoising
* DDVM: dual decision voting mechanism for brain tumour identification with LBP2Q-SVM type classifier
* DE-Based Reversible Data Hiding With Improved Overflow Location Map
* De-biasing Neural Networks with Estimated Offset for Class Imbalanced Learning
* de-blocking algorithm and a blockiness metric for highly compressed images, A
* De-Blocking Artifacts in DCT Domain Using Projection onto Convex Sets Algorithm
* De-convolutional auto-encoder for enhancement of fingerprint samples
* De-correlating CNN Features for Generative Classification
* DE-CROP: Data-efficient Certified Robustness for Pretrained Classifiers
* De-Emphasis of Distracting Image Regions Using Texture Power Maps
* DE-GAN: A Conditional Generative Adversarial Network for Document Enhancement
* DE-GAN: Domain Embedded GAN for High Quality Face Image Inpainting
* De-Ghosting Artifact in Scene-Based Nonuniformity Correction of Infrared Image Sequences
* De-ghosting for Image Stitching with Automatic Content-Awareness
* De-ghosting of HDR images with double-credit intensity mapping
* De-Hankelization of singular spectrum analysis matrices via L1 norm criterion
* De-Identification Camera, The
* De-identification for privacy protection in multimedia content: A survey
* De-identifying people in videos using neural art
* De-interlacing Algorithm Based on Motion Objects
* De-Interlacing Algorithm Using Markov Random Field Model, A
* De-Interlacing Algorithm Using Spatial-Temporal Correlation-Assisted Motion Estimation
* De-Interlacing Algorithm Using Weighted Least Squares
* De-Interlacing Using Nonlocal Costs and Markov-Chain-Based Estimation of Interpolation Methods
* DE-Net: Deep Encoding Network for Building Extraction from High-Resolution Remote Sensing Imagery
* DE-Net: Dilated Encoder Network for Automated Tongue Segmentation
* De-Noising Method for Velocity Signal in Impinging Stream Mixer Based on Empirical Mode Decomposition, A
* de-noising method of threshold function based on wavelet, The
* De-noising of Lidar Point Clouds Corrupted by Snowfall
* De-Noising of Magnetotelluric Signals by Discrete Wavelet Transform and SVD Decomposition
* De-Noising of Photoacoustic Microscopy Images by Attentive Generative Adversarial Network
* De-noising of SRµCT Fiber Images by Total Variation Minimization
* De-noising Scheme Based on the Null Hypothesis of Intrinsic Mode Functions, A
* De-noising, phase ambiguity correction and visualization techniques for complex-valued ICA of group fMRI data
* De-Quantizing Compressed Sensing with non-Gaussian constraints
* De-rendering 3D Objects in the Wild
* De-rendering Stylized Texts
* De-rendering the World's Revolutionary Artefacts
* De-smokeGCN: Generative Cooperative Networks for Joint Surgical Smoke Detection and Removal
* De-striping For Tdiccd Remote Sensing Image Based On Statistical Features Of Histogram
* De-striping hyperspectral imagery using wavelet transform and adaptive frequency domain filtering
* de-texturing and spatially constrained K-means approach for image segmentation, A
* De) focusing on global light transport for active scene recovery
* Dead-End Elimination as a Heuristic for Min-Cut Image Segmentation
* Dead Birds Detection in Modern Chicken Farm Based on SVM
* Dead Fuel Moisture Content (DFMC) Estimation Using MODIS and Meteorological Data: The Case of Greece
* Dead pixel test using effective receptive field
* Dead reckoning navigation with Constant Velocity Update (CUPT)
* dead reckoning signed distance transform, The
* Dead Wood Detection Based On Semantic Segmentation of VHR Aerial CIR Imagery Using Optimized Fcn-densenet
* Deadline-Aware Coded Computation Across Homogeneous Workers
* Deadline and Buffer Constrained Knapsack Problem
* Deadlock Prevention of Self-Driving Vehicles in a Network of Intersections
* Deadlock resolution for navigation of wheeled robots in continuous state-space
* Deaf-and-mute sign language generation system
* Deal: Difficulty-aware Active Learning for Semantic Segmentation
* Dealing whith occultation when accounting for observation error correlation in a wavelet space
* Dealing with 2D translation estimation in log-polar imagery
* Dealing with a priori knowledge by fuzzy labels
* Dealing with Ambiguity in Robotic Grasping via Multiple Predictions
* Dealing with Ambiguous Queries in Multimodal Video Retrieval
* Dealing with Archaeology's Data Avalanche
* Dealing with Bilingualism in Automatic Transcription of Historical Archive of Czech Radio
* Dealing with degeneracy in essential matrix estimation
* Dealing with frame cancellation for stereoscopic displays in 3D user interfaces
* Dealing with Inaccurate Face Detection for Automatic Gender Recognition with Partially Occluded Faces
* Dealing with Missing Modalities in the Visual Question Answer-Difference Prediction Task through Knowledge Distillation
* Dealing with Multiple Motions in Optical Flow Estimation
* Dealing with Noise in Cluster Pattern Interface
* Dealing with Noise in Multiframe Structure from Motion
* Dealing with Non-linearity in Shape Modelling of Articulated Objects
* Dealing with occlusion in a probabilistic object tracking method
* Dealing with Occlusions in the Eigenspace Approach
* Dealing With Parallax in Shape-From-Focus
* Dealing with Precise and Imprecise Decisions with a Dempster-Shafer Theory Based Algorithm in the Context of Handwritten Word Recognition
* Dealing with Scarce Labelled Data: Semi-supervised Deep Learning with Mix Match for Covid-19 Detection Using Chest X-ray Images
* Dealing with segmentation errors in region-based stereo matching
* Dealing with Self-occlusion in Region Based Motion Capture by Means of Internal Regions
* Dealing with small data and training blind spots in the Manhattan world
* Dealing with Space in Natural Language Processing
* Dealing with textureless regions and specular highlights: A progressive space carving scheme using a novel photo-consistency measure
* Dealing With the Novelty in Open Worlds
* Dealing with the Perspective Distortion to Detect Overtaking Cars for Driving Assistance
* Dealing with Topological Information Within a Fully Convolutional Neural Network
* Dealing with uncertainty in the principal directions of tensors
* Dealing With User Heterogeneity in P2P Multi-Party Video Conferencing: Layered Distribution Versus Partitioned Simulcast
* Dealing with video source identification in social networks
* DEANet: Dual Encoder with Attention Network for Semantic Segmentation of Remote Sensing Imagery
* DEAP: A Database for Emotion Analysis Using Physiological Signals
* Dear-Net: Learning Diversities for Skeleton-Based Early Action Recognition
* DearKD: Data-Efficient Early Knowledge Distillation for Vision Transformers
* Deart: Dataset of European Art
* Death and Regeneration of an Amazonian Mangrove Forest by Anthropic and Natural Forces
* DEB: Definite Error Bounded Tangent Estimator for Digital Curves
* Debate and Considerations on Using Videos for Cultural Heritage from Social Media for 3D Modelling
* DEBC Detection with Deep Learning
* Debiased Learning from Naturally Imbalanced Pseudo-Labels
* Debiased Scene Graph Generation for Dual Imbalance Learning
* Debiased Subjective Assessment of Real-World Image Enhancement
* Debiasing Skin Lesion Datasets and Models? Not So Fast
* Deblending of Simultaneous-Source Seismic Data Using Bregman Iterative Shaping
* Deblocking Algorithm for JPEG Compressed Images Using Overcomplete Wavelet Representations, A
* Deblocking Algorithm in Mpeg-4 Video Coding Using Block Boundary Characteristics and Adaptive Filtering
* Deblocking Algorithms with Edge Filters for DCT Compressed Images
* Deblocking Artifact of Satellite Image Based on Adaptive Soft-Threshold Anisotropic Filter Using Wavelet
* Deblocking filter for artifact reduction in distributed compressive video sensing
* Deblocking Filter for Low Bit Rate MPEG-4 Video
* Deblocking Filter with Two Separate Modes in Block-Based Video Coding
* Deblocking Filtering for Illumination Compensation in Multiview Video Coding
* Deblocking filtering method using a perceptual map
* Deblocking Method for BDCT Compressed Images Based on Adaptive Projections, A
* Deblocking method using a percpetual recursive filter
* Deblocking of Block-Transform Compressed Images Using Weighted Sums of Symmetrically Aligned Pixels
* Deblocking strength prediction based CTU-level SAO category determination in HEVC encoder
* Deblocking Technique for Block-transform Compressed Image Using Wavelet Transform Modulus Maxima, A
* Deblocking Technique for JPEG Decoded Image Using Wavelet Transform Modulus Maxima Representation, A
* Deblur-NeRF: Neural Radiance Fields from Blurry Images
* DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
* DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks
* Debluring Low-Resolution Images
* Deblurred Images Post-Processing by Poisson Warping
* Deblurring-by-Denoising using Spatially Adaptive Gaussian Scale Mixtures in Overcomplete Pyramids
* Deblurring Algorithm Using Edge Gradient for the Walsh-Hadamard Transform Image Coding System, A
* Deblurring and Sparse Unmixing for Hyperspectral Images
* Deblurring by Example Using Dense Correspondence
* Deblurring by Realistic Blurring
* Deblurring depth blur and motion blur simultaneously by using space-time coding
* Deblurring Digital Images by Means of Polynomial Transforms
* Deblurring Dynamic Scenes via Spatially Varying Recurrent Neural Networks
* Deblurring Face Images Using Uncertainty Guided Multi-Stream Semantic Networks
* Deblurring Face Images with Exemplars
* Deblurring from Highly Incomplete Measurements for Remote Sensing
* Deblurring Gaussian blur using a wavelet array transform
* Deblurring Gaussian Blur
* Deblurring Images via Dark Channel Prior
* Deblurring Low-Light Images with Events
* Deblurring Low-Light Images with Light Streaks
* Deblurring Natural Image Using Super-Gaussian Fields
* Deblurring Of Bilevel Waveforms
* Deblurring of Color Images Corrupted by Impulsive Noise
* Deblurring of Document Images Based on Sparse Representations Enhanced by Non-local Means
* Deblurring of irregularly sampled images by TV regularization in a spline space
* Deblurring of Motion-Blurred Photographs Using Extended-Range Holographic Fourier-Transform Division
* Deblurring of motion blurred images using histogram of oriented gradients and geometric moments
* Deblurring of One Dimensional Bar Codes Via Total Variation Energy Minimization
* Deblurring of point cloud attributes in graph spectral domain
* Deblurring of post-adaptive optics images
* Deblurring Poissonian images by split Bregman techniques
* Deblurring retinal optical coherence tomography via a convolutional neural network with anisotropic and double convolution layer
* Deblurring Saturated Night Image With Function-Form Kernel
* Deblurring Shaken and Partially Saturated Images
* Deblurring Space-Variant Blur by Adding Noisy Image
* Deblurring subject to nonnegativity constraints when known functions are present with application to object-constrained computerized tomography
* Deblurring subject to nonnegativity constraints
* Deblurring Text Images via L0-Regularized Intensity and Gradient Prior
* Deblurring the Gaussian Blur
* Deblurring Using Analysis-Synthesis Networks Pair
* Deblurring Using Regularized Locally Adaptive Kernel Regression
* Deblurring Vein Images and Removing Skin Wrinkle Patterns by Using Tri-band Illumination
* Deblurring via Stochastic Refinement
* Deblurring, Gaussian Blur, Other Blur Kernels
* DEBORA: Digital AccEss to BOoks of the RenAissance
* Debris-Flow Susceptibility Assessment in China: A Comparison between Traditional Statistical and Machine Learning Methods
* Debris Flow and Rockslide Analysis with Advanced Photogrammetry Techniques Based on High-Resolution RPAS Data. Ponte Formazza Case Study (NW Alps)
* Debris Flow Susceptibility Mapping Using Machine-Learning Techniques in Shigatse Area, China
* Debugging Object Tracking Results by a Recommender System with Correction Propagation
* DECA: A Discrete-Valued Data Clustering Algorithm
* DECA: Deep viewpoint-Equivariant human pose estimation using Capsule Autoencoders
* Decadal Changes in Glacier Area, Surface Elevation and Mass Balance for 2000-2020 in the Eastern Tanggula Mountains Using Optical Images and TanDEM-X Radar Data
* Decadal Changes in Greenland Ice Sheet Firn Aquifers from Radar Scatterometer
* Decadal Changes of Earth's Outgoing Longwave Radiation
* Decadal Changes of the Reflected Solar Radiation and the Earth Energy Imbalance
* Decadal Continuous Meteor-Radar Estimation of the Mesopause Gravity Wave Momentum Fluxes over Mohe: Capability Evaluation and Interannual Variation
* Decadal Global Climatology of Ice Cloud Fraction with Their Microphysical and Optical Properties Inferred from the CALIPSO and Reanalysis Data, A
* Decadal Historical Satellite Data and Rainfall Trend Analysis (2001-2016) for Flood Hazard Mapping in Sri Lanka, A
* Decadal Lake Volume Changes (2003-2020) and Driving Forces at a Global Scale
* Decadal Measurements of the First Geostationary Ocean Color Satellite (GOCI) Compared with MODIS and VIIRS Data
* Decadal Quasi-2-Day Wave Observations in the Equatorial Mesopause Region by a Meteor Radar over Kototabang (0.2°S, 100.3°E) and TIMED/TIDI and Comparison with Quasi-2-Day Wave Observations at Mid-Latitudes
* Decadal Scale Changes in Glacier Area in the Hohe Tauern National Park (Austria) Determined by Object-Based Image Analysis
* Decadal Stability and Trends in the Global Cloud Amount and Cloud Top Temperature in the Satellite-Based Climate Data Records
* Decadal Urban Land Use/Land Cover Changes and Its Impact on Surface Runoff Potential for the Dhaka City and Surroundings Using Remote Sensing
* Decade Long, Multi-Scale Map Comparison of Fire Regime Parameters Derived from Three Publically Available Satellite-Based Fire Products: A Case Study in the Central African Republic, A
* Decade of Modern Bridge Monitoring Using Terrestrial Laser Scanning: Review and Future Directions, A
* Decade of QuikSCAT Scatterometer Sea Ice Extent Data, A
* Decade Survey of Content Based Image Retrieval Using Deep Learning, A
* Decades of Ground Deformation in the Weihe Graben, Shaanxi Province, China, in Response to Various Land Processes, Observed by Radar Interferometry and Levelling
* DECAF: MEG-Based Multimodal Database for Decoding Affective Physiological Responses
* DeCaFA: Deep Convolutional Cascade for Face Alignment in the Wild
* Decameter Cropland LAI/FPAR Estimation From Sentinel-2 Imagery Using Google Earth Engine
* Decanus to Legatus: Synthetic Training for 2D-3D Human Pose Lifting
* Decapod: A Flexible, Low Cost Digitization Solution for Small and Medium Archives
* Decay-weighted extreme learning machine for balance and optimization learning
* Decay Assessment of Stone-Built Cultural Heritage: The Case Study of the Cosenza Cathedral Façade (South Calabria, Italy)
* Decay Classification Using Artificial Intelligence
* Decay Properties of Riesz Transforms and Steerable Wavelets
* DECCNet: Depth Enhanced Crowd Counting
* Deceiving Google's Cloud Video Intelligence API Built for Summarizing Videos
* DECENT: Decentralized and Efficient Key Management to Secure Communication in Dense and Dynamic Environments
* Decentering Distortion of Lenses
* DecentLaM: Decentralized Momentum SGD for Large-batch Deep Training
* Decentralised CAVs based on micro-macro flow control (MiMaFC) strategy for multi-intersection traffic network
* Decentralised intelligent transport system with distributed intelligence based on classification techniques
* Decentralized AI Data Management System In Federated Learning, A
* Decentralized and Coordinated Routing Algorithm for Connected and Autonomous Vehicles, A
* Decentralized Approach for Anticipatory Vehicle Routing Using Delegate Multiagent Systems, A
* Decentralized Bayesian Algorithm for Identification of Tracked Targets, A
* Decentralized camera network control using game theory
* Decentralized Conditional Posterior Cramér-Rao Lower Bound for Nonlinear Distributed Estimation
* Decentralized Cooperative Aerial Surveillance Using Fixed-Wing Miniature UAVs
* Decentralized Cooperative Localization for Heterogeneous Multi-robot System Using Split Covariance Intersection Filter
* Decentralized Coordinated Downlink Beamforming via Primal Decomposition
* Decentralized discovery of camera network topology
* Decentralized Emergency Service Vehicle Pre-Emption System Using RF Communication and GNSS-Based Geo-Fencing
* Decentralized Equilibrium Seeking of Joint Routing and Destination Planning of Electric Vehicles: A Constrained Aggregative Game Approach
* Decentralized Estimation using distortion sensitive learning vector quantization
* Decentralized Federated Averaging
* Decentralized H-inf filtering for interconnected Markovian jump systems with delays
* Decentralized iterative learning control for hegerogeneous system with arbitrary interconnections
* Decentralized Location Privacy-Preserving Spatial Crowdsourcing for Internet of Vehicles, A
* Decentralized Model for Spatial Data Digital Rights Management, A
* Decentralized Motion Planning for Multiagent Collaboration Under Coupled LTL Task Specifications
* Decentralized Multi-Agent Path Finding for UAV Traffic Management
* Decentralized Multiple Target Tracking Using Netted Collaborative Autonomous Trackers
* Decentralized non-fragile guaranteed cost control and optimization for neutral interconnected systems
* Decentralized Optimal Merging Control With Optimization of Energy Consumption for Connected Hybrid Electric Vehicles
* Decentralized particle filter for joint individual-group tracking
* Decentralized PID controller design for the cooperative control of networked multi-agent systems
* Decentralized Positioning Method Based on Recursive Weighted Least Absolute Value Optimization for Wireless Sensor Networks, A
* decentralized probabilistic approach to articulated body tracking, A
* Decentralized Processing Schema for Efficient and Robust Real-time Multi-GNSS Satellite Clock Estimation, A
* Decentralized Quality of Service Based System for Energy Trading Among Electric Vehicles
* Decentralized querying of topological relations between regions monitored by a coordinate-free geosensor network
* Decentralized Ride-Sharing and Vehicle-Pooling Based on Fair Cost-Sharing Mechanisms
* Decentralized Robust Beamforming for Coordinated Multi-Cell MISO Networks
* Decentralized Robust Control Approach for Coordinated Maneuvering of Vehicles in Platoons
* Decentralized Semantic Reasoning Approach for the Detection and Representation of Continuous Spatial Dynamic Phenomena in Wireless Sensor Networks, A
* Decentralized Signal-Detection with Fuzzy Information
* Decentralized Signal Control for Non-Lane-Based Heterogeneous Traffic Under V2I Communication, A
* Decentralized stabilization of Markovian jump large-scale systems via neighboring mode dependent output feedback control
* Decentralized Stochastic Optimization With Random Attendance
* Decentralized TD(0) With Gradient Tracking
* Decentralized TDOA Sensor Pairing in Multihop Wireless Sensor Networks
* Decentralized Time and Energy-Optimal Control of Connected and Automated Vehicles in a Roundabout With Safety and Comfort Guarantees
* Decentralized Truncated One-Sided Sequential Detection of a Noncooperative Moving Target
* Decentralized Trust Management System for Intelligent Transportation Environments, A
* Deception Island 1967-1970 Volcano Eruptions from Historical Aerial Frames and Satellite Imagery (Antarctic Peninsula)
* DeceptionNet: Network-Driven Domain Randomization
* DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation
* Deciduous-Coniferous Classification and Internal Structure Derivation Using Airborne Lidar Data, A
* Deciduous-Coniferous Tree Classification Using Difference between First and Last Pulse Laser Signatures
* Deciduous Forest Structure Estimated with LIDAR-Optimized Spectral Remote Sensing
* Decimated Geometric Filter for Edge Preserving Smoothing of Nonwhite Image Noise
* Decimation Double-Phase Estimator: An Efficient and Unambiguous High-Order Binary Offset Carrier Tracking Algorithm
* Decimation Estimation and Linear Model-Based Super-Resolution Using Zoomed Observations
* Decimation Estimation and Super-Resolution Using Zoomed Observations
* Decimation of Visible Surfaces
* Decimation Schemes for Sigma-Delta A/D Converters Based on Kaiser and Hamming Sharpened Filters
* Deciphering a Timeline of Demise at Medieval Angkor, Cambodia Using Remote Sensing
* Deciphering Circular Anthropogenic Anomalies in PALSAR Data: Using L-Band SAR for Analyzing Archaeological Features on the Steppe
* Deciphering gestures with layered meanings and signer adaptation
* Deciphering layered meaning in gestures
* Deciphering Small-Scale Seasonal Surface Dynamics of Rock Glaciers in the Central European Alps Using DInSAR Time Series
* Deciphering the Drivers of Net Primary Productivity of Vegetation in Mining Areas
* Deciphering the face
* Deciphering the Precision of Stereo IKONOS Canopy Height Models for US Forests with G-LiHT Airborne LiDAR
* Decision-Based Attack to Speaker Recognition System via Local Low-Frequency Perturbation
* Decision-based Black-box Attack Specific to Large-size Images
* Decision-based Fusion for Improved Fluvial Landscape Classification Using Digital Aerial Photographs and Forward Looking Infrared Images
* Decision-Based Median Filter Improved by Predictions
* Decision-based neighborhood-referred unsymmetrical trimmed variants filter for the removal of high-density salt-and-pepper noise in images and videos
* Decision-based neural network for face recognition system
* decision-boundary-oriented feature selection method and its application to face recognition, A
* Decision-Directed Multivariate Empirical Bayes Classification with Nonstationary Priors
* Decision-Feedback Closest Lattice Point Search for UMTS HSPA System
* Decision-level fusion for single-view gait recognition with various carrying and clothing conditions
* Decision-level fusion in fingerprint verification
* Decision-level Fusion Of Pca And Lda-based Face Recognition Algorithms
* Decision-Level Fusion of Spectral Reflectance and Derivative Information for Robust Hyperspectral Land Cover Classification
* Decision-level fusion strategies for correlated biometric classifiers
* Decision-Level Fusion with a Pluginable Importance Factor Generator for Remote Sensing Image Scene Classification
* Decision-Making Framework for Automated Driving in Highway Environments
* Decision-Making Method of Autonomous Vehicles in Urban Environments Considering Traffic Laws
* Decision-Making System for emergency service design and management during pandemic COVID-19, A
* Decision-Support System for Safety and Security Assessment and Management in Smart Cities
* Decision-Theoretic Approach to Edge Detection, A
* Decision-Theoretic Cooperative Sensor Planning
* Decision-Theoretic Formulation for Sparse Stereo Correspondence Problems, A
* decision-theoretic generalization of on-line learning and an application to boosting, A
* Decision-Theoretic Video Conference System Based on Gesture Recognition, A
* Decision-Tree-Based Online Speaker Clustering, A
* Decision-Tree-Based Perceptual Video Quality Prediction Model and Its Application in FEC for Wireless Multimedia Communications, A
* Decision-Tree Approach to Identifying Paddy Rice Lodging with Multiple Pieces of Polarization Information Derived from Sentinel-1, A
* Decision-Tree, Rule-Based, and Random Forest Classification of High-Resolution Multispectral Imagery for Wetland Mapping and Inventory
* Decision Analysis Using Belief Functions
* Decision and Communication Management Methodology for embedded Multi-smart Camera systems, applied to real-time inspection in lamps production, A
* Decision and Event-Based Fixed-Time Consensus Control for Electromagnetic Source Localization
* Decision based adaptive median filter to remove blotches, scratches, streaks, stripes and impulse noise in images
* Decision Boundaries Using Bayes Factors: The Case of Cloud Masks
* Decision Boundary Feature-Extraction for Neural Networks
* Decision Boundary Feature Extraction for Non-Parametric Classification
* decision cognizant Kullback-Leibler divergence, A
* Decision Combination in Multiple Classifier Systems
* Decision Combination of Multiple Classifiers for Pattern Classification: Hybridisation of Majority Voting and Divide and Conquer Techniques
* Decision directed adaptive blind equalization based on the constant modulus algorithm
* Decision Directed Estimation of a Two Class Decision Boundary
* Decision explanation and feature importance for invertible networks
* Decision feedback equaliser design using support vector machines
* Decision Forest Based Feature Selection Framework for Action Recognition from RGB-Depth Cameras, A
* Decision Forests for Computer Vision and Medical Image Analysis
* Decision Forests: A Unified Framework for Classification, Regression, Density Estimation, Manifold Learning and Semi-Supervised Learning
* Decision Function Method for Boundary Detection, A
* Decision fusion and non-parametric classifiers for land use mapping using multi-temporal RapidEye data
* Decision Fusion and Reasoning Module for a Traffic Sign Recognition System, A
* Decision Fusion Approach for Multitemporal Classification
* Decision Fusion Based on Hyperspectral and Multispectral Satellite Imagery for Accurate Forest Species Mapping
* Decision Fusion for Face Authentication
* Decision Fusion for Image Quality Assessment using an Optimization Approach
* Decision Fusion for Multimodal Biometrics Using Social Network Analysis
* Decision Fusion for Patch-Based Face Recognition
* Decision Fusion for Reliable Flood Mapping Using Remote Sensing Images
* Decision fusion for robust horizon estimation using Dempster Shafer Combination Rule
* Decision Fusion for Target Detection Using Multi-spectral Image Sequences from Moving Cameras
* Decision Fusion for the Classification of Hyperspectral Data: Outcome of the 2008 GRS-S Data Fusion Contest
* Decision Fusion for the Classification of Urban Remote Sensing Images
* Decision fusion for urine particle classification in multispectral images
* Decision Fusion Framework for Hyperspectral Image Classification Based on Markov and Conditional Random Fields
* Decision Fusion Framework for Hyperspectral Subpixel Target Detection, A
* Decision Fusion in Kernel-Induced Spaces for Hyperspectral Image Classification
* Decision Fusion of D-InSAR and Pixel Offset Tracking for Coal Mining Deformation Monitoring
* Decision Fusion of Deep Learning and Shallow Learning for Marine Oil Spill Detection
* Decision Fusion of GA Self-Organizing Neuro-Fuzzy Multilayered Classifiers for Land Cover Classification Using Textural and Spectral Features
* Decision Fusion of Ground-Penetrating Radar and Metal Detector Algorithms: A Robust Approach
* Decision Fusion Strategies for Target Detection with a Three-Sensor Suite
* Decision Fusion Strategies in Multi-sensor Environments
* Decision Fusion With Confidence-Based Weight Assignment for Hyperspectral Target Recognition
* Decision Fusion With Multiple Spatial Supports by Conditional Random Fields
* Decision Fusion With Unknown Sensor Detection Probability
* Decision Fusion
* Decision level biometric fusion using Ant Colony Optimization
* Decision Level Fusion for Audio-Visual Speech Recognition in Noisy Conditions
* Decision Level Fusion in Standardized Fingerprint Match-on-Card
* Decision Level Fusion Method for Object Recognition Using Multi-Angular Imagery, A
* Decision Level Fusion of Domain Specific Regions for Facial Action Recognition
* Decision Level Fusion Using t-Norms
* Decision Level Multiple Cameras Fusion Using Dezert-Smarandache Theory
* Decision making and uncertainty management in a 3D reconstruction system
* Decision Making for Connected Automated Vehicles at Urban Intersections Considering Social and Individual Benefits
* Decision Making in Context
* Decision Making in the 4th Dimension: Exploring Use Cases and Technical Options for the Integration of 4D BIM and GIS during Construction
* Decision Making in the LDA Space: Generalised Gradient Direction Metric
* Decision Making On Disaster Management in Agriculture With Sentinel Applications
* Decision Model for Predicting Social Vulnerability Using Artificial Intelligence
* Decision Model for Resolving Conflicting Transit Signal Priority Requests
* Decision Procedure for Optimal Polyhedron Partitioning, A
* Decision Pyramid Classifier for Face Recognition Under Complex Variations Using Single Sample Per Person
* Decision Rule for Pattern Classification by Integrating Interval Feature Values
* Decision Rules for the Choice of Neighbors in Random Field Models of Images
* Decision Snippet Features
* decision step for Shape Context matching, A
* Decision strategies that maximize the area under the LROC curve
* Decision Support Models for Predicting and Explaining Airport Passenger Connectivity From Data
* Decision Support System Based on Indoor Location for Personnel Management
* decision support system for diagnosis of neuromuscular disorders using DWT and evolutionary support vector machines, A
* Decision Support System for Proactive-Robust Traffic Network Management, A
* Decision Support System for the Diagnosis of Parkinson's Disease
* Decision Support System for User-Based Vehicle Relocation in Car Sharing Systems, A
* Decision Support System in Oil Spill Management
* Decision Support Systems using 3D OGC Services and Indoor Routing: Example Scenario from the OWS-6 Testbed
* Decision Support Systems
* Decision Support Techniques for Dermatology Using Case-Based Reasoning
* decision support tool using Order Weighted Averaging for conference review assignment, A
* Decision surface optimization in mapping exotic mangrove species (Sonneratia apetala) across latitudinal coastal areas of China
* Decision templates for multiple classifier fusion: An Experimental Comparison
* Decision Theoretic Approach for 3-D Vision, A
* decision theoretic approach to hierarchical classifier design, A
* Decision Theoretic Modeling of Human Facial Displays
* Decision Theory and Artificial Intelligence: I. A Semantics Based Region Analyzer
* Decision Theory Method for the Analysis of Texture, A
* Decision tree-based contrast enhancement for various color images
* Decision Tree Algorithm Of Urban Extraction From Multi-source Image Data, The
* Decision Tree and Random Forest Classification Algorithms for Mangrove Forest Mapping in Sembilang National Park, Indonesia
* Decision Tree and Texture Analysis for Mapping Debris-Covered Glaciers in the Kangchenjunga Area, Eastern Himalaya
* Decision Tree Approach for Scene Pattern Recognition and Extraction in Snooker Videos, A
* Decision Tree Approach for Spatially Interpolating Missing Land Cover Data and Classifying Satellite Images, A
* decision tree approach to graph and subgraph isomorphism detection, A
* Decision Tree Based Sea-Surface Weak Target Detection With False Alarm Rate Controllable
* Decision Tree Classification of Land-Cover from Remotely-Sensed Data
* Decision Tree Design Using a Probabilistic Model
* Decision Tree Ensembles in Biomedical Time-series Classification
* Decision tree fields
* Decision Tree for Automatic Diagnosis of Parkinson's Disease from Offline Drawing Samples: Experiments and Findings, A
* Decision Trees for Complexity Reduction in Video Compression
* Decision Trees for Fast Thinning Algorithms
* Decision Trees in Binary Tomography for Supporting the Reconstruction of hv-Convex Connected Images
* Decision Trees on Lidar to Classify Land Uses and Covers
* Decision trees using model ensemble-based nodes
* Decision Trees Using the Minimum Entropy-of-Error Principle
* Decision Trees
* Decisional information systems of the public actors in Moroccan Oasis Zones: Case study Draa-Tafilalet region: Towards a descriptive approach and a measurement of qualities and performances
* Decisional Tree Models for Land Cover Mapping and Change Detection Based on Phenological Behaviors. Application Case: Localization Of Non-fully-exploited Agricultural Surfaces In the Eastern Part of The Haouz Plain In the Semi-arid Central Morocco
* Decisionet: A Binary-tree Structured Neural Network
* DeciWatch: A Simple Baseline for 10× Efficient 2D and 3D Pose Estimationo
* Decline in Phytoplankton Biomass along Indian Coastal Waters due to COVID-19 Lockdown
* Decline in Transparency of Lake Hongze from Long-Term MODIS Observations: Possible Causes and Potential Significance
* Decline of Geladandong Glacier Elevation in Yangtze River's Source Region: Detection by ICESat and Assessment by Hydroclimatic Data
* Decline of Late Spring and Summer Snow Cover in the Scottish Highlands from 1984 to 2022: A Landsat Time Series
* Decode-MOT: How Can We Hurdle Frames to Go Beyond Tracking-by-Detection?
* DECODE: Deep Confidence Network for Robust Image Classification
* Decoder-driven adaptive distributed arithmetic coding
* Decoder-Free Approach for Unsupervised Clustering and Manifold Learning with Random Triplet Mining, A
* Decoder-Side Cross Resolution Synthesis for Video Compression Enhancement
* Decoder-side dimensionality determination for compressive-projection principal component analysis of hyperspectral data
* Decoder-Side Intra Mode Derivation with Texture Analysis in VVC Test Model
* Decoder-side macroblock information derivation for efficient multiview video plus depth map coding
* Decoder-side Motion Estimation and Wiener filter for HEVC
* Decoder-Side Motion Vector Derivation for Block-Based Video Coding
* Decoder-Side Motion Vector Refinement in VVC: Algorithm and Hardware Implementation Considerations
* Decoder Banks: Versatility, Automation, and High Accuracy without Supervised Training
* Decoder complexity and performance comparison of matching pursuit and DCT-based MPEG-4 video codecs
* Decoder complexity reduction for the scalable extension of HEVC
* Decoder Derived Cross-Component Linear Model Intra-Prediction for Video Coding
* Decoder Description Syntax for fully configurable video coding
* Decoder Network over Lightweight Reconstructed Feature for Fast Semantic Style Transfer
* Decoder picture buffer reduction based effective reference frame selection algorithm for multiview video coding
* Decoder side just noticeable distortion model estimation for efficient H.264/AVC based perceptual video coding
* Decoder side merge mode and AMVP in HEVC screen content coding
* Decoder side motion vector derivation for inter frame video coding
* Decoder side true motion estimation for very low bitrate B-frame coding
* Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation
* Decoding-Energy-Rate-Distortion Optimization for Video Coding
* Decoding affect in videos employing the MEG brain signal
* Decoding Bar Codes from Human Readable Characters
* Decoding Brain Representations by Multimodal Learning of Neural Activity and Visual Features
* Decoding Children's Social Behavior
* Decoding Color Structured Light Patterns with a Region Adjacency Graph
* Decoding Complex Erosion Responses for the Mitigation of Coastal Rockfall Hazards Using Repeat Terrestrial LiDAR
* Decoding complexity reduction in projection-based light-field 3D displays using self-contained HEVC tiles
* Decoding design based on posterior probabilities in Ternary Error-Correcting Output Codes
* Decoding Electromyographic Signal With Multiple Labels for Hand Gesture Recognition
* Decoding Energy Modeling For Versatile Video Coding
* Decoding Finger Flexion from Electrocorticographic Signals Using a Sparse Gaussian Process
* Decoding Gene Expression in 2D and 3D
* Decoding Generalized Joint Channel Coding and Physical Network Coding in the LLR Domain
* Decoding Generic Visual Representations from Human Brain Activity Using Machine Learning
* Decoding hidden light-field information to see around corners
* Decoding High-Throughput Jpeg2000 (HTJ2K) On A G
* Decoding image semantics using composite region templates
* Decoding Method Based on Complex ICA for a Multicell Massive MIMO Uplink System
* Decoding mixed emotions from expression map of face images
* Decoding non-linearity for effective extraction of the eye-blink artifact pattern from EEG recordings
* Decoding of depth and motion in ambiguous binocular perception
* Decoding of images using soft-bits and Markov random field modeling
* Decoding of multichannel EEG activity from the visual cortex in response to pseudorandom binary sequences of visual stimuli
* Decoding of Nanopore-Sequenced Synthetic DNA Storing Digital Images
* Decoding of Ternary Error Correcting Output Codes
* Decoding Population Codes
* Decoding positional and color information from a coded pattern
* Decoding Simultaneous Multi-DOF Wrist Movements From Raw EMG Signals Using a Convolutional Neural Network
* Decoding stimulus-related information from single-trial EEG responses based on voltage topographies
* Decoding structured light patterns for three-dimensional imaging systems
* Decoding Substitution Ciphers by Means of Word Matching with Application to OCR
* Decoding Subtle Cues from Social Interactions
* Decoding the Deep: Exploring Class Hierarchies of Deep Representations Using Multiresolution Matrix Factorization
* Decoding the Language of Human Movement
* Decoding the nonstationary neural activity in motor cortex for brain machine interfaces
* Decoding the Perception of Sincerity in Dialogues
* Decoding the User Experience in Mobile Virtual Reality Narratives
* Decoding visual brain states from fMRI using an ensemble of classifiers
* Decoding visual network-related dynamic functional connectivity for eyes-open and eyes-closed using machine learning
* Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features
* Decoding, Calibration and Rectification for Lenselet-Based Plenoptic Cameras
* Decolorization-Based Hyperspectral Image Visualization
* Decolorize: Fast, contrast enhancing, color to grayscale conversion
* Decolorizing images for robust matching
* Decomposable Nonlocal Tensor Dictionary Learning for Multispectral Image Denoising
* Decomposable Parameter Space for the Detection of Ellipses, A
* Decomposable Winograd Method for N-D Convolution Acceleration in Video Analysis, A
* Decompose algorithm for thresholding degraded historical document images
* Decompose Document Image Using Integer Linear Programming
* Decompose to Adapt: Cross-Domain Object Detection Via Feature Disentanglement
* Decomposed CNN for Sub-Nyquist Tensor-Based 2-D DOA Estimation
* Decomposed contour prior for shape recognition
* Decomposed Eigenface for Face Recognition under Various Lighting Conditions
* Decomposed human localization in personal photo albums
* Decomposed Learning for Joint Segmentation and Categorization
* Decomposed slice sampling for factorized distributions
* Decomposing a Plane Figure into Lines and Nodes
* Decomposing a scene into geometric and semantically consistent regions
* Decomposing a Simple Polygon into Trapezoids
* Decomposing and regularizing sparse/non-sparse components for motion field estimation
* Decomposing and Sketching 3D Objects by Curve Skeleton Processing
* Decomposing Bag of Words Histograms
* Decomposing Cavities in Digital Volumes into Products of Cycles
* Decomposing chinese characters into stroke segments using SOGD filters and orientation normalization
* Decomposing contours into curves of different families
* Decomposing DInSAR Time-Series into 3-D in Combination with GPS in the Case of Low Strain Rates: An Application to the Hyblean Plateau, Sicily, Italy
* Decomposing Document Images by Heuristic Search
* Decomposing Dual Scale Soil Surface Roughness for Microwave Remote Sensing Applications
* Decomposing generation networks with structure prediction for recipe generation
* Decomposing Global Light Transport Using Time of Flight Imaging
* Decomposing Image Generation into Layout Prediction and Conditional Synthesis
* Decomposing Infrared Images of Wind Waves for Quantitative Separation Into Characteristic Flow Processes
* Decomposing Joint Distortion for Adaptive Steganography
* Decomposing Multispectral Face Images into Diffuse and Specular Shading and Biophysical Parameters
* Decomposing non-manifold objects in arbitrary dimensions
* Decomposing parameters of mixture Gaussian model using genetic and maximum likelihood algorithms on dental images
* Decomposing style, content, and motion for videos
* Decomposing the global financial crisis: A Self-Organizing Time Map
* Decomposing the Laplacian
* Decomposing the Long-term Variation in Population Exposure to Outdoor PM2.5 in the Greater Bay Area of China Using Satellite Observations
* Decomposing the Tangent of Occluding Boundaries According to Curvatures and Torsions
* Decomposing the video editing structure of a talk-show using nonnegative matrix factorization
* Decomposing time series with application to temporal segmentation
* Decomposition-Based Heuristic Method for Inventory Routing Problem, A
* Decomposition-based tensor learning regression for improved classification of multimedia
* Decomposition-Based Transfer Distance Metric Learning for Image Classification
* Decomposition Algorithm for the Sparse Generalized Eigenvalue Problem, A
* Decomposition and Approximation of Three-Dimensional Solids
* Decomposition and Classification of Spectral Lines in Astronomical Radio Data Cubes
* Decomposition and Completion Network for Salient Object Detection
* Decomposition and construction of higher-dimensional neighbourhood operations
* Decomposition and Construction of Neighbourhood Operations Using Linear Algebra
* Decomposition and Decentralization Techniques in Relaxation Labeling
* Decomposition and Extraction: A New Framework for Visual Classification
* Decomposition and Hierarchy: Efficient Structural Matching of Large Multi-scale Representations
* Decomposition and matching: Towards efficient automatic Chinese character stroke extraction
* Decomposition and Parallel Architecture for the Geometric Transformation of Digital Images
* Decomposition and replacement: Spatial knowledge distillation for monocular depth estimation
* Decomposition Approach for Combined Heuristic and Differential Evolution Method for the Reactive Power Problem, A
* Decomposition Approach to Solve Dial-a-Ride Problems Using Ant Computing and Constraint Programming
* Decomposition by binary codes-based speedy image encryption algorithm for multiple applications
* Decomposition Dynamic graph convolutional recurrent network for traffic forecasting, A
* Decomposition for Efficient Eccentricity Transform of Convex Shapes
* Decomposition Framework for Image Denoising Algorithms, A
* Decomposition in Hidden Markov Models for Activity Recognition
* Decomposition Makes Better Rain Removal: An Improved Attention-Guided Deraining Network
* Decomposition Methods and Learning Approaches for Imbalanced Dataset: An Experimental Integration
* Decomposition Model for Stereo Matching, A
* Decomposition of 3-D Objects into Compact Subobjects by Analysis of Cross-Sections
* Decomposition of 3D Binary Objects into Rectangular Blocks
* Decomposition of 3D Convex Structuring Element in Morphological Operation for Parallel Processing Architectures
* Decomposition of a Bunch of Objects in Digital Images
* Decomposition of a Curve into Arcs and Line Segments Based on Dominant Point Detection
* Decomposition of a Visual Scene into Bodies
* Decomposition of a Visual Scene into Three-Dimensional Bodies
* Decomposition of Additively Separable Structuring Elements with Applications
* Decomposition of Airborne Laser Scanning Waveform Data Based on EM Algorithm
* Decomposition of Arbitrarily Shaped Binary Morphological Structuring Elements Using Genetic Algorithms
* Decomposition of Arbitrarily Shaped Morphological Structuring Elements
* Decomposition of arbitrary gray-scale morphological structuring elements
* Decomposition of binary images: A survey and comparison
* Decomposition of binary morphological structuring elements based on genetic algorithms
* Decomposition of branching volume data by tip detection
* Decomposition of Chinese character into strokes using mathematical morphology
* Decomposition of Complex Line Drawings with Hidden Lines for 3D Planar-Faced Manifold Object Reconstruction
* Decomposition of Complex Shapes for Their Structural Recognition
* Decomposition of Convex Polygonal Morphological Structuring Elements into Neighborhood Subsets
* Decomposition of Digital Clumps into Convex Parts by Contour Tracing and Labelling
* Decomposition of Dynamic Textures Using Morphological Component Analysis
* Decomposition of Dynamic Textures Using Morphological Component Analysis: A New Adaptative Strategy
* Decomposition of Edge Operators
* Decomposition of fluorescent illuminant spectra for accurate colorimetry
* Decomposition of Geometric-Shaped Structuring Elements Using Morphological Transformations on Binary Images
* Decomposition of gray-scale morphological structuring elements
* Decomposition of Gray-Scale Morphological Templates Using The Rank Method
* Decomposition of hand-printed patterns
* Decomposition of Hardy Functions into Square Integrable Wavelets of Constant Shape
* Decomposition of Image Sequnces of Overlapping Homogeneous Transparent Radiating Objects
* Decomposition of LiDAR waveforms by B-spline-based modeling
* Decomposition of Mixed Pixels Based on Bayesian Self-Organizing Map and Gaussian Mixture Model
* Decomposition of morphological structuring elements with integer linear programming
* Decomposition of Morphological Structuring Elements
* Decomposition of Polygons into Convex Sets
* Decomposition of Polygons into Simpler Components
* Decomposition of Polyhedral Scenes in Hough Space
* Decomposition of Quadratic Variational Problems
* Decomposition of range images using markov random fields
* Decomposition of Repulsive Clusters in Complex Point Processes with Heterogeneous Components
* Decomposition of Separable Concave Structuring Functions
* Decomposition of Shape Boundaries in a Problem of Map Sequence Analysis
* Decomposition of Space-Variant Blur in Image Deconvolution
* Decomposition of the Hadamard matrices and fast Hadamard transform
* Decomposition of the Hough Transform: Curve Detection with Effcient Error Propagation
* Decomposition of Three-Dimensional Objects into Spheres
* Decomposition of Transformation Matrices for Robot Vision
* Decomposition of Two-Dimensional Shapes by Graph-Theoretic Clustering
* Decomposition of two-dimensional shapes for efficient retrieval
* Decomposition Principle for Analyzing Region Quadtrees
* decomposition scheme for 3D fuzzy objects based on fuzzy distance information, A
* decomposition technique for reconstructing discrete sets from four projections, A
* decomposition theorem for homogeneous sets with respect to diamond probes, A
* Decomposition Theory and Transformations of Visual Directions
* Decomposition, discovery and detection of visual categories using topic models
* Decompressed video enhancement via accurate regression prior
* Decompression and speckle detection for ultrasound images using the homodyned k-distribution
* DecomVQANet: Decomposing visual question answering deep network via tensor decomposition and regression
* Deconflicted Air-Traffic Planning With Speed-Dependent Fuel-Consumption Formulation
* Deconfounding the Effects of Resting State Activity on Task Activation Detection in fMRI
* Deconstructing Binary Classifiers in Computer Vision
* Deconstructing the Morphological Granulometrical Distributions to Simulate Structures
* Decontextualized I3D ConvNet for Ultra-Distance Runners Performance Analysis at a Glance
* Deconvolution Based Light Field Extraction from a Single Image Capture
* Deconvolution based on the curvelet transform
* Deconvolution by thresholding in mirror wavelet bases
* Deconvolution for slowly time-varying systems 3D cases
* Deconvolution Method for LCD Motion Blur Reduction, A
* Deconvolution Method for View Interpolation Using Multiple Images of Circular Camera Array
* Deconvolution methods for image deblurring in optical coherence tomography
* Deconvolution Methods for Mitigation of Transverse Blurring in Optical Coherence Tomography
* Deconvolution methods for structured illumination microscopy
* Deconvolution of poissonian images with the PURE-LET approach
* Deconvolution of Sustained Neural Activity From Large-Scale Calcium Imaging Data
* Deconvolution Technology of Microwave Radiometer Data Using Convolutional Neural Networks, A
* Deconvolutional networks
* Deconvolutional Speckle Reducing Anisotropic Diffusion
* Deconvolved Image Restoration From Auto-Correlations
* Deconvolving Active Contours for Fluorescence Microscopy Images
* Deconvolving Images With Unknown Boundaries Using the Alternating Direction Method of Multipliers
* Deconvolving Poissonian images by a novel hybrid variational model
* Deconvolving PSFs for a Better Motion Deblurring Using Multiple Images
* DECOR-GAN: 3D Shape Detailization by Conditional Refinement
* Decorative Character Recognition by Graph Matching
* DECORE: Deep Compression with Reinforcement Learning
* Decorrelated Adversarial Learning for Age-Invariant Face Recognition
* Decorrelated Batch Normalization
* Decorrelated Vectorial Total Variation
* Decorrelating MVDR Filterbanks Using the Non-Uniform Discrete Fourier Transform
* Decorrelating Properties of Chromatic Derivative Signal Representations
* Decorrelating Semantic Visual Attributes by Resisting the Urge to Share
* Decorrelating the Structure and Texture Components of a Variational Decomposition Model
* Decorrelation-stretch based cloud detection for total sky images
* Decorrelation and Distinctiveness Provide with Human-Like Saliency
* Decorrelation Methods of Texture Feature Extraction
* Decorrelation of Satellite Precipitation Estimates in Space and Time
* Decouple-and-Sample: Protecting Sensitive Information in Task Agnostic Data Release
* Decouple Learning for Parameterized Image Operators
* Decoupled 3D Facial Shape Model by Adversarial Training, A
* Decoupled Active Contour (DAC) for Boundary Detection
* Decoupled Active Surface for Volumetric Image Segmentation
* Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness
* Decoupled Algorithm for MRI Reconstruction Using Nonlocal Block Matching Model: BM3D-MRI
* Decoupled appearance and motion learning for efficient anomaly detection in surveillance video
* Decoupled Approach to Illumination-Robust Optical Flow Estimation, A
* Decoupled coarse-to-fine matching and nonlinear regularization for efficient motion estimation
* Decoupled Conflict-Resolution Procedures for Decentralized Air Traffic Control
* Decoupled Contrastive Learning for Intra-Camera Supervised Person Re-identification
* Decoupled Contrastive Learning
* Decoupled contributed attribute-object composition detection
* Decoupled Dynamic Filter Networks
* Decoupled Frequency Learning for Dynamic Scene Deblurring
* Decoupled H 8 control of automated vehicular platoons with complex interaction topologies
* Decoupled Hybrid 360° Panoramic Stereo Video
* Decoupled inverse and denoising for image deblurring: Variational BM3D-frame technique
* Decoupled Jacobi-Like Algorithm for Non-Unitary Joint Diagonalization of Complex-Valued Matrices, A
* Decoupled Knowledge Distillation
* Decoupled Learning for Conditional Adversarial Networks
* Decoupled Learning Scheme for Real-world Burst Denoising from Raw Images, A
* Decoupled Linear Estimation of Affine Geometric Deformations and Nonlinear Intensity Transformations of Images
* Decoupled Mixup for Out-of-distribution Visual Recognition
* Decoupled Multi-task Learning with Cyclical Self-Regulation for Face Parsing
* Decoupled Networks
* Decoupled Object-Independent Image Features for Fine Phasing of Segmented Mirrors Using Deep Learning
* Decoupled Pose and Similarity Based Graph Neural Network for Video Person Re-Identification
* Decoupled R-CNN: Sensitivity-Specific Detector for Higher Accurate Localization
* Decoupled Representation Learning for Character Glyph Synthesis
* Decoupled Representation Learning for Skeleton-Based Gesture Recognition
* Decoupled Self-attention Module for Person Re-identification
* Decoupled Spatial-temporal Attention Network for Skeleton-based Action-gesture Recognition
* Decoupled Spatial Neural Attention for Weakly Supervised Semantic Segmentation
* Decoupled Two-Stage Crowd Counting and Beyond
* decoupled virtual camera using spherical optical flow, A
* DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation
* Decoupling Algorithms from Schedules for Easy Optimization of Image Processing Pipelines
* Decoupling and Coupling Transformation for Arbitrary Style Transfer
* Decoupling and Recoupling Spatiotemporal Representation for RGB-D-based Motion Recognition
* Decoupling between Precipitation Processes and Mountain Wave Induced Circulations Observed with a Vertically Pointing K-Band Doppler Radar
* Decoupling Canopy Structure and Leaf Biochemistry: Testing the Utility of Directional Area Scattering Factor (DASF)
* Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses
* Decoupling DOA Estimation Algorithm for Rectangle Array
* Decoupling Fourier Components of Dynamic Image Sequences: A Theory of Signal Separation, Image Segmentation, and Optical Flow Estimation
* Decoupling GCN with Dropgraph Module for Skeleton-based Action Recognition
* Decoupling Identity and Visual Quality for Image and Video Anonymization
* Decoupling Makes Weakly Supervised Local Feature Better
* Decoupling multi-task causality for improved skin lesion segmentation and classification
* Decoupling music notation to improve end-to-end Optical Music Recognition
* Decoupling Orientation Recovery from Position Recovery with 3D-2D Point Correspondences
* Decoupling photometry and geometry in dense variational camera calibration
* Decoupling Relationship between Urbanization and Carbon Sequestration in the Pearl River Delta from 2000 to 2020
* Decoupling Rendering and Display Using Fast Depth Image Based Rendering on the GPU
* Decoupling Respiratory and Angular Variation in Rotational X-ray Scans Using a Prior Bilinear Model
* Decoupling Sparse Coding with Fusion of Fisher Vectors and Scalable SVMs for Large-Scale Visual Recognition
* Decoupling Spatial Pattern and its Movement Via Complex Factorization Over Orthogonal Filter Pairs
* Decoupling the 3D Motion Space by Fixation
* Decoupling Video and Human Motion: Towards Practical Event Detection in Athlete Recordings
* Decoupling Zero-Shot Semantic Segmentation
* DeCOVER: Developing a methodology to update land cover data for public authorities in Germany
* Decrease in Lake Numbers and Areas in Central Asia Investigated Using a Landsat-Derived Water Dataset, The
* Decrease in the Daily Maximum Temperature during Global Warming Hiatus Causes a Delay in Spring Phenology in the China-DPRK-Russia Cross-Border Area, A
* Decreased Anthropogenic CO2 Emissions during the COVID-19 Pandemic Estimated from FTS and MAX-DOAS Measurements at Urban Beijing
* Decreasing Computational Time of Urban Cellular Automata Through Model Portability
* Decreasing Cramer-Rao lower bound by preprocessing steps
* Decreasing Physical Burden Using the Following Effect and a Superimposed Navigation System
* Decreasing Rice Cropping Intensity in Southern China from 1990 to 2015
* Decreasing the Uncertainty of the Target Center Estimation at Terrestrial Laser Scanning by Choosing the Best Algorithm and by Improving the Target Design
* Decreasing Time Consumption of Microscopy Image Segmentation Through Parallel Processing on the GPU
* Decreasing Trend of Geohazards Induced by the 2008 Wenchuan Earthquake Inferred from Time Series NDVI Data
* Decreasing Weighted Sorted L_1 Regularization
* Decremental Sparse Modeling Representative Selection for prototype selection
* Decryption of noisy encrypted images by statistical analysis
* DECT-MULTRA: Dual-Energy CT Image Decomposition With Learned Mixed Material Models and Efficient Clustering
* Dedicated 36-Channel Receive Array for Fetal MRI at 3T, A
* dedicated benchmark for contour-based corner detection evaluation, A
* Dedicated Design of Motion Estimator with Bits Truncation Fast Algorithm
* dedicated hardware architecture for real-time auto-focusing using an FPGA, A
* Dedicated Hardware for Real-Time Computation of Second-Order Statistical Features for High Resolution Images
* Dedicated hardware processors for a real-time image data pre-processing implemented in FPGA structure
* Dedicated Hardware System for a Class of Nonlinear Order Statistics Rational Hybrid Filters with Applications to Image Processing, A
* dedicated lightweight binocular stereo system for real-time depth-map generation, A
* Dedicated Payloads for Low Altitude Remote Sensing in Natural Environments
* Dedicated Texture Based Tools for Characterisation of Old Books
* Deducing Flood Development Process Using Social Media: An Event-Based and Multi-Level Modeling Approach
* Deducing health cues from biometric data
* Deducing Local Influence Neighbourhoods with Application to Edge-Preserving Image Denoising
* Deduction of Passengers' Route Choices From Smart Card Data
* Deeblif: Deep Blind Light Field Image Quality Assessment by Extracting Angular and Spatial Information
* DeeCap: Dynamic Early Exiting for Efficient Image Captioning
* DEEMD: Drug Efficacy Estimation Against SARS-CoV-2 Based on Cell Morphology With Deep Multiple Instance Learning
* Deep-anomaly: Fully convolutional neural network for fast anomaly detection in crowded scenes
* Deep-aspects: A Segmentation-assisted Model for Stroke Severity Measurement
* Deep-based fisher vector for mobile visual search
* Deep-Based Quality Assessment of Medical Images Through Domain Adaptation
* Deep-BCN: Deep Networks Meet Biased Competition to Create a Brain-Inspired Model of Attention Control
* DEEP-CARVING: Discovering visual attributes by carving deep neural nets
* Deep-Cascade: Cascading 3D Deep Neural Networks for Fast Anomaly Detection and Localization in Crowded Scenes
* DEEP-CSSR: Scene classification using category-specific salient region with deep features
* Deep-Disaster: Unsupervised Disaster Detection and Localization Using Visual Data
* Deep-E: A Fully-Dense Neural Network for Improving the Elevation Resolution in Linear-Array-Based Photoacoustic Tomography
* Deep-ECG: Convolutional Neural Networks for ECG biometric recognition
* Deep-Ensemble-Level-Based Interpretable Takagi-Sugeno-Kang Fuzzy Classifier for Imbalanced Data, A
* Deep-feature encoding-based discriminative model for age-invariant face recognition
* Deep-features with Bayesian optimized classifiers for the breast cancer diagnosis
* Deep-FlexISP: A Three-Stage Framework for Night Photography Rendering
* Deep-fUS: A Deep Learning Platform for Functional Ultrasound Imaging of the Brain Using Sparse Data
* Deep-Fusion: An End-To-End Approach for Compressive Spectral Image Fusion
* Deep-Hurricane-Tracker: Tracking and Forecasting Extreme Climate Events
* Deep-IRTarget: An Automatic Target Detector in Infrared Imagery Using Dual-Domain Feature Extraction and Allocation
* Deep-Learned Regularization and Proximal Operator for Image Compressive Sensing
* Deep-learning-assisted visualization for live-cell images
* Deep-Learning-Based Automated Neuron Reconstruction From 3D Microscopy Images Using Synthetic Training Images
* Deep-Learning-Based Automatic Selection of Fewest Channels for Brain-Machine Interfaces
* Deep-Learning-Based Classification for DTM Extraction from ALS Point Cloud
* Deep-Learning-Based Classification of Point Clouds for Bridge Inspection
* Deep-learning-based Computer Vision System for Surface-defect Detection
* Deep-Learning-Based Electrical Noise Removal Enables High Spectral Optoacoustic Contrast in Deep Tissue
* Deep-Learning-Based Fast Optical Coherence Tomography (OCT) Image Denoising for Smart Laser Osteotomy
* Deep-Learning-Based Feature Extraction Approach for Significant Wave Height Prediction in SAR Mode Altimeter Data
* Deep-Learning-Based Image Reconstruction and Enhancement in Optical Microscopy
* Deep-learning-based latent space encoding for spectral unmixing of geological materials
* Deep-Learning-Based Lossless Image Coding
* Deep-Learning-Based Low-Frequency Reconstruction in Full-Waveform Inversion
* Deep-Learning-Based Metal Artefact Reduction With Unsupervised Domain Adaptation Regularization for Practical CT Images
* Deep-Learning-Based Method for Estimating Permittivity of Ground-Penetrating Radar Targets
* Deep-Learning-Based Multiple Model Tracking Method for Targets with Complex Maneuvering Motion
* Deep-Learning-Based Multispectral Image Reconstruction from Single Natural Color RGB Image: Enhancing UAV-Based Phenotyping
* Deep-Learning-Based Object Filtering According to Altitude for Improvement of Obstacle Recognition during Autonomous Flight
* Deep-Learning-Based Pipe Leak Detection Using Image-Based Leak Features
* Deep-Learning-Based Probabilistic Forecasting of Electric Vehicle Charging Load With a Novel Queuing Model
* Deep-Learning-Based Rice Phenological Stage Recognition
* Deep-learning-based single-image height reconstruction from very-high-resolution SAR intensity data
* Deep-Learning-Based Three-Dimensional Detection of Individual Wave-Dissipating Blocks from As-Built Point Clouds Measured by UAV Photogrammetry and Multibeam Echo-Sounder
* Deep-Learning-Based Wireless Resource Allocation With Application to Vehicular Networks
* Deep-Learning and High Performance Computing to Boost Biomedical Applications
* Deep-Learning Approach to Facial Expression Recognition with Candid Images, A
* Deep-Learning Approach to Soil Moisture Estimation with GNSS-R, A
* Deep-learning architecture to forecast destinations of bus passengers from entry-only smart-card data
* Deep-Learning Architectures for Placenta Vessel Segmentation in TTTS Fetoscopic Images
* Deep-learning based segmentation of challenging myelin sheaths
* Deep-learning for Tidemark Segmentation in Human Osteochondral Tissues Imaged with Micro-computed Tomography
* Deep-learning framework to detect lung abnormality: A study with chest X-Ray and lung CT scan images
* Deep-Learning Full-Waveform Inversion Using Seismic Migration Images
* Deep-learning generation of POI data with scene images
* Deep-Learning Image Reconstruction for Real-Time Photoacoustic System
* Deep-Learning Inversion of Seismic Data
* Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues
* Deep-Learning Scheme for Hydrometeor Type Classification Using Passive Microwave Observations, A
* Deep-Learning Schemes for Full-Wave Nonlinear Inverse Scattering Problems
* Deep-Learning Systems for Domain Adaptation in Computer Vision: Learning Transferable Feature Representations
* Deep-Learning Technique for Risk-Based Action Prediction Using Extremely Low-Resolution Thermopile Sensor Array
* Deep-learning Versus OBIA for Scattered Shrub Detection with Google Earth Imagery: Ziziphus lotus as Case Study
* Deep-Like Hashing-in-Hash for Visual Retrieval: An Embarrassingly Simple Method
* Deep-Local-Global Feature Fusion Framework for High Spatial Resolution Imagery Scene Classification, A
* Deep-mapnets: A residual network for 3D environment representation
* Deep-Masking Generative Network: A Unified Framework for Background Restoration From Superimposed Images
* Deep-NC: A secure image transmission using deep learning and network coding
* Deep-network based method for joint image deblocking and super-resolution
* Deep-Neural-Network-Based Aerosol Optical Depth (AOD) Retrieval from Landsat-8 Top of Atmosphere Data, A
* Deep-PCAC: An End-to-End Deep Lossy Compression Framework for Point Cloud Attributes
* Deep-Person: Learning discriminative deep features for person Re-Identification
* Deep-plant: Plant identification with convolutional neural networks
* Deep-Reinforcement-Learning-Based Energy Management Strategy for Supercapacitor Energy Storage Systems in Urban Rail Transit
* Deep-Sea Seabed Sediment Classification Using Finely Processed Multibeam Backscatter Intensity Data in the Southwest Indian Ridge
* Deep-seated features histogram: A novel image retrieval method
* Deep-Separation Guided Progressive Reconstruction Network for Semantic Segmentation of Remote Sensing Images
* deep-shallow and global-local multi-feature fusion network for photometric stereo, A
* Deep-Space Satellite-Image Reconstructions from Field Data by Use of Speckle Imaging Techniques: Images and Functional Assessment
* Deep-STaR: Classification of image time series based on spatio-temporal representations
* Deep-Structured Event Modeling for User-Generated Photos
* DEEP-URL: A Model-Aware Approach to Blind Deconvolution Based on Deep Unfolded Richardson-Lucy Network
* Deep 1D Landmark Representation Learning for Space Target Pose Estimation
* Deep 360 Pilot: Learning a Deep Agent for Piloting through 360 deg; Sports Videos
* Deep 360° Optical Flow Estimation Based on Multi-projection Fusion
* Deep 3D-to-2D Watermarking: Embedding Messages in 3D Meshes and Extracting Them from 2D Renderings
* Deep 3D Capture: Geometry and Reflectance From Sparse Multi-View Images
* Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion Segmentation
* Deep 3D Human Pose Estimation Under Partial Body Presence
* Deep 3D human pose estimation: A review
* Deep 3D Mask Volume for View Synthesis of Dynamic Scenes
* Deep 3d Modeling of Human Bodies from Freehand Sketching
* Deep 3D morphable model refinement via progressive growing of conditional Generative Adversarial Networks
* Deep 3D Portrait From a Single Image
* Deep 3D semantic scene extrapolation
* Deep Accurate Solver for the Geodesic Problem
* Deep Action Parsing in Videos With Large-Scale Synthesized Data
* Deep Action Unit classification using a binned intensity loss and semantic context model
* Deep actionlet proposals for driver's behavior monitoring
* Deep Active Ensemble Sampling for Image Classification
* Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision
* Deep Active Learning for Cryo-Electron Tomography Classification
* Deep Active Learning for Fibrosis Segmentation of Chest CT Scans from Covid-19 Patients
* Deep Active Learning for Human Pose Estimation Via Consistency Weighted Core-Set Approach
* Deep active learning for image classification
* Deep Active Learning for In Situ Plankton Classification
* Deep Active Learning for Joint Classification Segmentation with Weak Annotator
* Deep Active Learning from Multispectral Data Through Cross-Modality Prediction Inconsistency
* Deep Active Learning Intrusion Detection and Load Balancing in Software-Defined Vehicular Networks
* Deep active object recognition by joint label and action prediction
* Deep Active Shape Model for Robust Object Fitting
* Deep Active Surface Models
* Deep Adaptive Attention for Joint Facial Action Unit Detection and Face Alignment
* Deep Adaptive Electrocardiographic Imaging with Generative Forward Model for Error Reduction
* Deep adaptive feature embedding with local sample distributions for person re-identification
* Deep Adaptive Few Example Learning for Microscopy Image Cell Counting
* Deep Adaptive Fusion Network for High Performance RGBT Tracking
* Deep adaptive group-based input normalization for financial trading
* Deep Adaptive Image Clustering
* Deep adaptive learning for safe and efficient navigation of pedestrian dynamics
* Deep adaptive learning for writer identification based on single handwritten word images
* Deep Adaptive Wavelet Network
* Deep Adaptively-Enhanced Hashing With Discriminative Similarity Guidance for Unsupervised Cross-Modal Retrieval
* Deep Adversarial Active Learning With Model Uncertainty For Image Classification
* Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: The Benefit of Target Expectation Maximization
* Deep Adversarial Data Augmentation for Extremely Low Data Regimes
* Deep Adversarial Decomposition: A Unified Framework for Separating Superimposed Images
* Deep Adversarial Domain Adaptation Model for Bearing Fault Diagnosis
* Deep Adversarial Framework for Visually Explainable Periocular Recognition, A
* Deep Adversarial Metric Learning
* Deep Adversarial Network for Scene Independent Moving Object Segmentation
* Deep Adversarial Subspace Clustering
* Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images
* Deep Aesthetic Assessment and Retrieval of Breast Cancer Treatment Outcomes
* Deep Aesthetic Quality Assessment With Semantic Information
* Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond
* Deep Affective Learning and Context Modeling
* Deep Affine Motion Compensation Network for Inter Prediction in VVC
* Deep Affinity Network for Multiple Object Tracking
* Deep Affordance-Grounded Sensorimotor Object Recognition
* Deep Age Distribution Learning for Apparent Age Estimation
* Deep Age Estimation Model Stabilization from Images to Videos
* Deep Age Estimation: From Classification to Ranking
* Deep Aggregation Net for Land Cover Classification
* Deep Aggregation of Local 3D Geometric Features for 3D Model Retrieval
* Deep Aging Face Verification With Large Gaps
* Deep Alignment Network Based Multi-Person Tracking With Occlusion and Motion Reasoning
* Deep Alignment Network: A Convolutional Neural Network for Robust Face Alignment
* Deep Alternating Projection Networks for Gridless DOA Estimation With Nested Array
* Deep Analysis of CNN-based Spatio-temporal Representations for Action Recognition
* Deep Analysis of Facial Behavioral Dynamics
* deep analysis on age estimation, A
* deep analysis on high-resolution dermoscopic image classification, A
* Deep ancient Roman Republican coin classification via feature fusion and attention
* Deep and Autoregressive Approach for Topic Modeling of Multimodal Data, A
* Deep and Deformable: Convolutional Mixtures of Deformable Part-Based Models
* Deep and Domain Transfer Learning Aided Photoacoustic Microscopy: Acoustic Resolution to Optical Resolution
* Deep and Embedded Learning Approach for Traffic Flow Prediction in Urban Informatics
* Deep and fast: Deep learning hashing with semi-supervised graph construction
* Deep and interpretable regression models for ordinal outcomes
* Deep and joint learning of longitudinal data for Alzheimer's disease prediction
* Deep and low-level feature based attribute learning for person re-identification
* Deep and Low-Rank Quaternion Priors for Color Image Processing
* Deep and Machine Learning Image Classification of Coastal Wetlands Using Unpiloted Aircraft System Multispectral Images and Lidar Datasets
* Deep and Structured Metric Learning Method for Robust Person Re-Identification, A
* Deep and Structured Robust Information Theoretic Learning for Image Analysis
* Deep Animation Video Interpolation in the Wild
* Deep anomaly detection with self-supervised learning and adversarial training
* Deep Anomaly Discovery from Unlabeled Videos via Normality Advantage and Self-Paced Refinement
* Deep anticipation: lightweight intelligent mobile sensing for unmanned vehicles in IoT by recurrent architecture
* Deep Appearance Consistent Human Pose Transfer
* Deep Appearance Features for Abnormal Behavior Detection in Video
* Deep Appearance Maps
* Deep Appearance Models: A Deep Boltzmann Machine Approach for Face Modeling
* Deep Approach for Volumetric Tractography Segmentation, A
* Deep Arbitrary HDRI: Inverse Tone Mapping With Controllable Exposure Changes
* Deep Archetypal Analysis
* Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning
* Deep Architectures and Ensembles for Semantic Video Classification
* Deep Architectures for Face Attributes
* Deep artifact-free residual network for single-image super-resolution
* Deep Asymmetric Metric Learning via Rich Relationship Mining
* Deep asymmetric video-based person re-identification
* Deep Atmospheric Composition of Jupiter from Thermochemical Calculations Based on Galileo and Juno Data, The
* Deep Atomic Norm Denoising Network for Jointly Range-Doppler Estimation With FRI Sampling
* Deep Attention-Based Classification Network for Robust Depth Prediction
* Deep Attention-based Lightweight Network For Aerial Image Deblurring
* Deep Attention-Based Spatially Recursive Networks for Fine-Grained Visual Recognition
* Deep Attention-Guided Graph Clustering With Dual Self-Supervision
* Deep attention aware feature learning for person re-Identification
* Deep Attention Based Semi-supervised 2d-pose Estimation for Surgical Instruments
* Deep Attention Network for Egocentric Action Recognition
* Deep Attention Neural Tensor Network for Visual Question Answering
* Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI, A
* Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound
* Deep attentive time warping
* Deep Attributed Network Embedding with Community Information
* Deep Attributes Driven Multi-camera Person Re-identification
* Deep Attributes for One-Shot Face Recognition
* Deep Audio-Visual Beamforming for Speaker Localization
* Deep Audio-Visual Fusion Neural Network for Saliency Estimation
* Deep Audio-Visual Speech Recognition
* Deep Auto-Encoders With Sequential Learning for Multimodal Dimensional Emotion Recognition
* Deep Autoencoder Architectures For Foreground Object Detection In Video Sequences Based On Probabilistic Mixture Models
* Deep Autoencoder for Combined Human Pose Estimation and Body Model Upscaling
* Deep Autoencoders for Anomaly Detection in Textured Images Using CW-SSIM
* Deep autoencoders for attribute preserving face de-identification
* Deep Autoencoders with Aggregated Residual Transformations for Urban Reconstruction from Remote Sensing Data
* Deep Autoencoders With Multitask Learning for Bilinear Hyperspectral Unmixing
* Deep Autoencoding Topic Model With Scalable Hybrid Bayesian Inference
* Deep Automated Text Scoring Model Based on Memory Network
* Deep Automatic Portrait Matting
* Deep autoregressive models with spectral attention
* Deep Back-Projecti Networks for Single Image Super-Resolution
* Deep Back-Projection Networks for Super-Resolution
* Deep Background Modeling Using Fully Convolutional Network
* Deep background subtraction with scene-specific convolutional neural networks
* Deep Based Recommender System For Relevant K Pick-up Points
* Deep Battery Saver: End-to-End Learning for Power Constrained Contrast Enhancement
* Deep Bayesian Network for Visual Question Generation
* Deep Bayesian Sparse Subspace Clustering
* Deep Bayesian Video Frame Interpolation
* Deep BCD-Net Using Identical Encoding-Decoding CNN Structures for Iterative Image Recovery
* Deep belief network based statistical feature learning for fingerprint liveness detection
* Deep Belief Network for Classifying Remotely-Sensed Hyperspectral Data, A
* Deep Belief Networks Based Toponym Recognition for Chinese Text
* Deep Belief Networks for Real-Time Extraction of Tongue Contours from Ultrasound During Speech
* Deep Bilateral Filtering Network for Point-Supervised Semantic Segmentation in Remote Sensing Images
* Deep Bilateral Learning for Stereo Image Super-Resolution
* Deep Bilevel Learning
* Deep Bilinear Learning for RGB-D Action Recognition
* Deep Bimodal Regression for Apparent Personality Analysis
* Deep Bimodal Regression of Apparent Personality Traits from Short Video Sequences
* Deep Binaries: Encoding Semantic-Rich Cues for Efficient Textual-Visual Cross Retrieval
* Deep Binary Reconstruction for Cross-Modal Hashing
* Deep Binary Representation of Facial Expressions: A Novel Framework for Automatic Pain Intensity Recognition
* Deep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose Estimation
* Deep binocular tone mapping
* deep biometric hash learning framework for three advanced hand-based biometrics, A
* Deep Blind Hyperspectral Image Fusion
* Deep blind image quality assessment by employing FR-IQA
* Deep Blind Image Quality Assessment with Visual Importance Based Patch Score, A
* Deep blind quality evaluator for multiply distorted images based on monogenic binary coding
* Deep Blind Synthesized Image Quality Assessment with Contextual Multi-Level Feature Pooling
* Deep Blind Un-Supervised Learning Network for Single Image Super Resolution
* Deep Blind Video Decaptioning by Temporal Aggregation and Recurrence
* Deep Blind Video Quality Assessment Based on Temporal Human Perception
* Deep Blind Video Quality Assessment for User Generated Videos
* Deep Blind Video Super-resolution
* Deep Block Transform for Autoencoders
* Deep BLSTM-GRU Model for Monthly Rainfall Prediction: A Case Study of Simtokha, Bhutan
* Deep BLSTM neural networks for unconstrained continuous handwritten text recognition
* Deep Blur Mapping: Exploiting High-Level Semantics by Deep Neural Networks
* Deep Boltzmann Machine-Based Approach for Robust Image Denoising, A
* Deep Boltzmann Machines for i-Vector Based Audio-Visual Person Identification
* Deep Boltzmann Machines Using Adaptive Temperatures
* Deep Boosting for Image Denoising
* Deep Brain Stimulation Artifact Removal Through Under-Sampling and Cubic-Spline Interpolation
* Deep built-structure counting in satellite imagery using attention based re-weighting
* Deep Burst Denoising
* Deep Burst Super-Resolution
* Deep Camera Pose Regression Using Motion Vectors
* Deep Camera: A Fully Convolutional Neural Network for Image Signal Processing
* Deep Canonical Time Warping for Simultaneous Alignment and Representation Learning of Sequences
* Deep Canonical Time Warping
* Deep Cascade Model-Based Face Recognition: When Deep-Layered Learning Meets Small Data
* Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction, A
* Deep Cascaded Bi-Network for Face Hallucination
* Deep cascaded cross-modal correlation learning for fine-grained sketch-based image retrieval
* Deep Cauchy Hashing for Hamming Space Retrieval
* Deep CCA based super vector for action recognition
* Deep Census: AUV-Based Scallop Population Monitoring
* Deep center-based dual-constrained hashing for discriminative face image retrieval
* Deep Centralized Cross-modal Retrieval
* Deep CG2Real: Synthetic-to-Real Translation via Image Disentanglement
* Deep ChArUco: Dark ChArUco Marker Pose Estimation
* Deep chest X-ray: Detection and classification of lesions based on deep convolutional neural networks
* Deep chroma prediction of Wyner-Ziv frames in distributed video coding of wireless capsule endoscopy video
* Deep class-aware image denoising
* Deep Closed-Form Subspace Clustering
* Deep Closest Point: Learning Representations for Point Cloud Registration
* Deep Clouds on Jupiter
* Deep Clustering and Block Hashing Network for Face Image Retrieval
* Deep Clustering by Gaussian Mixture Variational Autoencoders With Graph Embedding
* Deep Clustering for Unsupervised Learning of Visual Features
* Deep Clustering via Automatic Feature Embedded Learning for Human Activity Recognition, A
* Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization
* Deep Clustering via Weighted k-Subspace Network
* Deep Clustering With Intraclass Distance Constraint for Hyperspectral Images
* Deep Clustering With Variational Autoencoder
* Deep Clustering: On the Link Between Discriminative Models and K-Means
* Deep CNN-Based Framework For Enhanced Aerial Imagery Registration with Applications to UAV Geolocalization, A
* Deep CNN-Based Super-Resolution Using External and Internal Examples
* Deep CNN-LSTM Framework for Fast Video Coding, A
* Deep CNN based binary hash video representations for face retrieval
* Deep CNN for removal of salt and pepper noise
* deep CNN method for underwater image enhancement, A
* Deep CNN with color lines model for unmarked road segmentation
* Deep CNN with Graph Laplacian Regularization for Multi-label Image Annotation
* Deep CNN, Body Pose, and Body-Object Interaction Features for Drivers' Activity Monitoring
* Deep CNNs Along the Time Axis With Intermap Pooling for Robustness to Spectral Variations
* Deep CNNs for Object Detection Using Passive Millimeter Sensors
* Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization
* Deep CNNs With Spatially Weighted Pooling for Fine-Grained Car Recognition
* Deep Co-Image-Label Hashing for Multi-Label Image Retrieval
* Deep Co-occurrence Feature Learning for Visual Object Recognition
* Deep Co-Saliency Detection via Stacked Autoencoder-Enabled Fusion and Self-Trained CNNs
* Deep Co-Space: Sample Mining Across Feature Transformation for Semi-Supervised Learning
* Deep co-supervision and attention fusion strategy for automatic COVID-19 lung infection segmentation on CT images
* Deep Co-Training for Semi-Supervised Image Recognition
* Deep co-training for semi-supervised image segmentation
* Deep Co-Training with Task Decomposition for Semi-Supervised Domain Adaptation
* Deep Coarse-to-Fine Dense Light Field Reconstruction With Flexible Sampling and Geometry-Aware Fusion
* deep Coarse-to-Fine network for head pose estimation from synthetic data, A
* Deep CockTail Network: Multi-source Unsupervised Domain Adaptation with Category Shift
* Deep CockTail Networks
* Deep code operation network for multi-label image retrieval
* Deep Cognitive Gate: Resembling Human Cognition for Saliency Detection
* Deep Collaborative Discrete Hashing With Semantic-Invariant Structure Construction
* Deep Collaborative Embedding for Social Image Understanding
* Deep collaborative graph hashing for discriminative image retrieval
* Deep Collaborative Multi-Task Network: A Human Decision Process Inspired Model for Hierarchical Image Classification
* Deep Collaborative Multi-View Hashing for Large-Scale Image Search
* Deep Collocative Learning for Immunofixation Electrophoresis Image Analysis
* Deep Color Consistent Network for Low-Light Image Enhancement
* Deep Color Guided Coarse-to-Fine Convolutional Network Cascade for Depth Image Super-Resolution
* Deep Color Mismatch Correction In Stereoscopic 3d Images
* Deep Colorization
* Deep compact discriminative representation for unconstrained face recognition
* Deep Compact Person Re-Identification with Distractor Synthesis via Guided DC-GANs
* Deep compact polyhedral conic classifier for open and closed set recognition
* Deep compare: A study on using convolutional neural networks to compare image patches
* Deep Complementary Joint Model for Complex Scene Registration and Few-shot Segmentation on Medical Images
* Deep Component Analysis via Alternating Direction Neural Networks
* Deep Composer: A Hash-Based Duplicative Neural Network For Generating Multi-Instrument Songs
* Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data
* Deep Compositional Metric Learning
* Deep Comprehensive Correlation Mining for Image Clustering
* Deep compression of probabilistic graphical networks
* Deep Compressive Sensing for Visual Privacy Protection in FlatCam Imaging
* Deep conditional adaptation networks and label correlation transfer for unsupervised domain adaptation
* Deep Conditional Color Harmony Model for Image Aesthetic Assessment
* Deep Confidence Propagation Stereo Network
* Deep Constrained Dominant Sets for Person Re-Identification
* Deep Constrained Least Squares for Blind Image Super-Resolution
* Deep Constrained Low-Rank Subspace Learning for Multi-View Semi-Supervised Classification
* Deep Constrained Siamese Hash Coding Network and Load-Balanced Locality-Sensitive Hashing for Near Duplicate Image Detection
* Deep Constraint-Based Propagation in Graph Neural Networks
* Deep Constraints Space via Channel Alignment for Visible-Infrared Person Re-identification
* Deep Context-Encoding Network for Retinal Image Captioning
* Deep Context-Sensitive Facial Landmark Detection With Tree-Structured Modeling
* Deep Context Modeling for Semantic Segmentation
* Deep Context Networks for Image Annotation
* Deep Contextual Attention for Human-Object Interaction Detection
* Deep contextual recurrent residual networks for scene labeling
* Deep continual hashing for real-world multi-label image retrieval
* Deep continual hashing with gradient-aware memory for cross-modal retrieval
* Deep Continual Learning for Emerging Emotion Recognition
* Deep Continuous Conditional Random Fields With Asymmetric Inter-Object Constraints for Online Multi-Object Tracking
* Deep Continuous Fusion for Multi-sensor 3D Object Detection
* Deep contour and symmetry scored object proposal
* Deep Contrast Learning for Salient Object Detection
* Deep Contrastive Self-Supervised Hashing for Remote Sensing Image Retrieval
* Deep convolution network for dense crowd counting
* Deep Convolution Network for Direction of Arrival Estimation With Sparse Prior
* Deep Convolution Neural Network Method for Land Cover Mapping: A Case Study of Qinhuangdao, China, A
* Deep convolution neural network with scene-centric and object-centric information for object detection
* Deep convolution neural networks to differentiate between COVID-19 and other pulmonary abnormalities on chest radiographs: Evaluation using internal and external datasets
* Deep Convolutional-Neural-Network-Based Channel Attention for Single Image Dynamic Scene Blind Deblurring
* Deep Convolutional-Shepard Interpolation Neural Networks for Image Classification Tasks
* Deep Convolutional Artery/Vein Classification of Retinal Vessels
* Deep Convolutional Auto-Encoder with Embedded Clustering, A
* Deep convolutional BiLSTM fusion network for facial expression recognition
* Deep Convolutional Capsule Network for Hyperspectral Image Spectral and Spectral-Spatial Classification
* Deep Convolutional Compressed Sensing-Based Adaptive 3D Reconstruction of Sparse LiDAR Data: A Case Study for Forests
* Deep Convolutional Compressed Sensing for LiDAR Depth Completion
* Deep Convolutional Correlation Filters for Forward-Backward Visual Tracking
* Deep convolutional correlation iterative particle filter for visual tracking
* Deep Convolutional Deblurring and Detection Neural Network for Localizing Text in Videos, A
* Deep Convolutional Denoising Autoencoders with Network Structure Optimization for the High-Fidelity Attenuation of Random GPR Noise
* Deep Convolutional Dictionary Learning for Image Denoising
* Deep Convolutional Embedding for Digitized Painting Clustering
* Deep convolutional encoder-decoder for myelin and axon segmentation
* Deep Convolutional Framelet Denosing for Low-Dose CT via Wavelet Residual Network
* Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems
* Deep Convolutional Generative Adversarial Networks (DCGANs)-Based Semi-Supervised Method for Object Recognition in Synthetic Aperture Radar (SAR) Images, A
* Deep convolutional hashing using pairwise multi-label supervision for large-scale visual search
* Deep convolutional image retrieval: A general framework
* Deep Convolutional K-Means Clustering
* Deep Convolutional Network-based Framework for Melanoma Lesion Detection and Segmentation
* Deep Convolutional Network Based Image Quality Enhancement for Low Bit Rate Image Compression
* Deep Convolutional Network Cascade for Facial Point Detection
* Deep convolutional network with locality and sparsity constraints for texture classification
* Deep convolutional networks super-resolution method for reconstructing high frequency information of the single image
* Deep convolutional neural fields for depth estimation from a single image
* Deep Convolutional Neural Models for Picture-Quality Prediction: Challenges and Solutions to Data-Driven Image Quality Assessment
* Deep Convolutional Neural Network-Based Robust Phase Gradient Estimation for Two-Dimensional Phase Unwrapping Using SAR Interferograms
* Deep convolutional neural network based HEp-2 cell classification
* Deep Convolutional Neural Network Based on Multi-Scale Feature Extraction for Image Denoising
* Deep convolutional neural network based species recognition for wild animal monitoring
* Deep Convolutional Neural Network for Bidirectional Image-Sentence Mapping
* Deep Convolutional Neural Network for Correlating Images and Sentences
* Deep Convolutional Neural Network for Detecting Volcanic Thermal Anomalies from Satellite Images, A
* Deep Convolutional Neural Network for Identifying Seam-Carving Forgery
* Deep Convolutional Neural Network for Inverse Problems in Imaging
* Deep Convolutional Neural Network for Large-Scale Date Palm Tree Mapping from UAV-Based Images
* Deep convolutional neural network for latent fingerprint enhancement
* Deep convolutional neural network for mixed random impulse and Gaussian noise reduction in digital images
* Deep Convolutional Neural Network for Multi-Modal Image Restoration and Fusion
* Deep Convolutional Neural Network for Natural Image Matting Using Initial Alpha Mattes
* Deep Convolutional Neural Network for Oil Spill Detection from Spaceborne SAR Images, A
* Deep Convolutional Neural Network for Plume Rise Measurements in Industrial Environments
* Deep Convolutional Neural Network for Rice Density Prescription Map at Ripening Stage Using Unmanned Aerial Vehicle-Based Remotely Sensed Images
* deep convolutional neural network for video sequence background subtraction, A
* Deep Convolutional Neural Network Framework for Subpixel Mapping
* Deep Convolutional Neural Network in Deformable Part Models for Face Detection
* deep convolutional neural network module that promotes competition of multiple-size filters, A
* Deep Convolutional Neural Network Role in the Autonomous Navigation of Mobile Robots (SROBO), The
* deep convolutional neural network trained on representative samples for circulating tumor cell detection, A
* Deep Convolutional Neural Network Using Triplets of Faces, Deep Ensemble, and Score-Level Fusion for Face Recognition
* Deep Convolutional Neural Network With Adversarial Training for Denoising Digital Breast Tomosynthesis Images
* Deep Convolutional Neural Network with Selection Units for Super-Resolution, A
* Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification
* Deep Convolutional Neural Networks and Learning ECG Features for Screening Paroxysmal Atrial Fibrillation Patients
* Deep Convolutional Neural Networks and Maximum-Likelihood Principle in Approximate Nearest Neighbor Search
* Deep Convolutional Neural Networks and Noisy Images
* Deep Convolutional Neural Networks Based Framework for Estimation of Stomata Density and Structure from Microscopic Images
* Deep Convolutional Neural Networks Exploit High-Spatial- and -Temporal-Resolution Aerial Imagery to Phenotype Key Traits in Miscanthus
* Deep Convolutional Neural Networks for Automated Characterization of Arctic Ice-Wedge Polygons in Very High Spatial Resolution Aerial Imagery
* Deep convolutional neural networks for automatic segmentation of left ventricle cavity from cardiac magnetic resonance images
* Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis
* Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
* Deep convolutional neural networks for dense non-uniform motion deblurring
* Deep Convolutional Neural Networks for Detecting Cellular Changes Due to Malignancy
* Deep Convolutional Neural Networks for Detecting Dolphin Echolocation Clicks
* Deep Convolutional Neural Networks for Efficient Pose Estimation in Gesture Videos
* Deep convolutional neural networks for face and iris presentation attack detection: survey and case study
* Deep Convolutional Neural Networks for Fish Weight Prediction from Images
* Deep Convolutional Neural Networks for Human Action Recognition Using Depth Maps and Postures
* Deep Convolutional Neural Networks for Human Embryonic Cell Counting
* Deep Convolutional Neural Networks for Manga Show-Through Cancellation
* Deep Convolutional Neural Networks for mental load classification based on EEG data
* Deep convolutional neural networks for motion instability identification using kinect
* Deep Convolutional Neural Networks for pedestrian detection
* Deep Convolutional Neural Networks for Plant Species Characterization Based on Leaf Midrib
* Deep Convolutional Neural Networks for Sentiment Analysis of Cultural Heritage
* Deep Convolutional Neural Networks with Integrated Quadratic Correlation Filters for Automatic Target Recognition
* Deep convolutional neural networks with transfer learning for automated brain image classification
* Deep convolutional particle filter for visual tracking
* Deep Convolutional Particle Filter with Adaptive Correlation Maps for Visual Tracking
* Deep coordinate attention network for single image super-resolution
* Deep CORAL: Correlation Alignment for Deep Domain Adaptation
* Deep Correlated Holistic Metric Learning for Sketch-Based 3D Shape Retrieval
* Deep Correlated Joint Network for 2-D Image-Based 3-D Model Retrieval
* Deep Correlation Feature Learning for Face Verification in the Wild
* Deep Correlation Filter Tracking With Shepherded Instance-Aware Proposals
* Deep correlation for matching images and text
* Deep Cosine Metric Learning for Person Re-identification
* Deep Cost-Sensitive and Order-Preserving Feature Learning for Cross-Population Age Estimation
* Deep Coupled-Representation Learning for Sparse Linear Inverse Problems With Side Information
* Deep Coupled Feedback Network for Joint Exposure Fusion and Image Super-Resolution
* Deep Coupled ISTA Network for Multi-Modal Image Super-Resolution
* Deep Coupled Metric Learning for Cross-Modal Matching
* Deep Coupled ResNet for Low-Resolution Face Recognition
* Deep Covariance Estimation Hashing for Image Retrieval
* Deep Covariance Feature and CNN-based End-to-End Masked Face Recognition
* Deep Crash Detection From Vehicular Sensor Data With Multimodal Self-Supervision
* Deep Credible Metric Learning for Unsupervised Domain Adaptation Person Re-identification
* Deep Crisp Boundaries
* Deep Crisp Boundaries: From Boundaries to Higher-Level Tasks
* Deep Cropping via Attention Box Prediction and Aesthetics Assessment
* Deep Cross-Attention Network for Crowdfunding Success Prediction
* Deep Cross-Domain Few-Shot Learning for Hyperspectral Image Classification
* Deep cross-domain flying object classification for robust UAV detection
* Deep cross-layer activation features for visual recognition
* Deep Cross-Layer Collaborative Learning Network for Online Knowledge Distillation
* Deep Cross-Media Knowledge Transfer
* Deep Cross-Modal Hashing
* Deep Cross-Modal Image-Voice Retrieval in Remote Sensing
* Deep Cross-Modal Projection Learning for Image-Text Matching
* Deep Cross-Modal Representation Learning and Distillation for Illumination-Invariant Pedestrian Detection
* Deep Cross-Modality Adaptation via Semantics Preserving Adversarial Learning for Sketch-Based 3D Shape Retrieval
* Deep Cross-species Feature Learning for Animal Face Recognition via Residual Interspecies Equivariant Network
* Deep cross residual network for HEp-2 cell staining pattern classification
* Deep Cybersickness Predictor Based on Brain Signal Analysis for Virtual Reality Contents, A
* Deep cycle autoencoder for unsupervised domain adaptation with generative adversarial networks
* Deep D-Bar: Real-Time Electrical Impedance Tomography Imaging With Deep Neural Networks
* deep data-driven approach for enhanced segmentation of blood vessel for diabetic retinopathy, A
* Deep debiased contrastive hashing
* Deep Decision Network for Multi-class Image Classification
* Deep Decision Trees for Discriminative Dictionary Learning with Adversarial Multi-agent Trajectories
* Deep Declarative Networks
* Deep Decomposition for Stochastic Normal-Abnormal Transport
* Deep Decomposition Learning for Inverse Imaging Problems
* Deep Decomposition of Circularly Symmetric Gabor Wavelet for rotation-invariant texture image classification
* Deep Deconvolution for Traffic Analysis With Distributed Acoustic Sensing Data
* Deep Decoupling of Defocus and Motion Blur for Dynamic Segmentation
* Deep Defocus Map Estimation Using Domain Adaptation
* Deep Deformable Patch Metric Learning for Person Re-Identification
* Deep deformable registration: Enhancing accuracy by fully convolutional neural net
* Deep Deformation Network for Object Landmark Localization
* Deep Degradation Prior for Low-Quality Image Classification
* Deep Dehazing Network for Remote Sensing Image with Non-Uniform Haze
* Deep Dehazing Network With Latent Ensembling Architecture and Adversarial Learning
* Deep Demosaicing for Edge Implementation
* Deep Demosaicing for Polarimetric Filter Array Cameras
* Deep Denoising of Flash and No-Flash Pairs for Photography in Low-Light Environments
* Deep Dense Multi-Scale Network for Snow Removal Using Semantic and Depth Priors
* Deep Density Clustering of Unconstrained Faces
* Deep density estimation based on multi-spectral remote sensing data for in-field crop yield forecasting
* Deep Depth Completion From Extremely Sparse Data: A Survey
* Deep Depth Completion of a Single RGB-D Image
* Deep Depth Domain Adaptation: A Case Study
* Deep Depth Estimation on 360° Images with a Double Quaternion Loss
* Deep Depth From Aberration Map
* Deep Depth from Defocus: How Can Defocus Blur Improve 3D Estimation Using Dense Neural Networks?
* Deep Depth from Focus with Differential Focus Volume
* Deep Depth from Focus
* Deep Depth from Uncalibrated Small Motion Clip
* Deep Depth Super-Resolution: Learning Depth Super-Resolution Using Deep Convolutional Neural Network
* Deep Descriptor Learning with Auxiliary Classification Loss for Retrieving Images of Silk Fabrics in the Context of Preserving European Silk Heritage
* Deep Detection Models for Measuring Epidermal Bladder Cells
* Deep Detection Network Based on Interaction of Instance Segmentation and Object Detection for SAR Images, A
* Deep detector classifier (DeepDC) for moving objects segmentation and classification in video surveillance
* Deep Determinantal Point Process for Large-Scale Multi-label Classification
* Deep Deterministic Policy Gradient for High-Speed Train Trajectory Optimization
* Deep Deterministic Policy Gradient to Minimize the Age of Information in Cellular V2X Communications
* Deep Dichromatic Guided Learning for Illuminant Estimation
* Deep Dichromatic Model Estimation Under AC Light Sources
* Deep dictionary learning application in GPR B-scan images
* Deep dictionary learning for fine-grained image classification
* Deep Dictionary Learning: A PARametric NETwork Approach
* Deep Diffeomorphic Transformer Networks
* Deep Difference Analysis in Similar-looking Face recognition
* Deep Differentiable Random Forests for Age Estimation
* Deep Diffusion MRI Registration (DDMReg): A Deep Learning Method for Diffusion MRI Registration
* Deep Dilated Convolutional Self-attention Model for Multimodal Human Activity Recognition, A
* Deep Direct Regression for Multi-oriented Scene Text Detection
* Deep Direct Visual Odometry
* Deep Directional Statistics: Pose Estimation with Uncertainty Quantification
* Deep discovery of facial motions using a shallow embedding layer
* Deep Discrete Cross-Modal Hashing for Cross-Media Retrieval
* Deep Discrete Flow
* Deep Discrete Hashing for Label Distribution Learning
* Deep Discrete Supervised Hashing
* Deep discriminant generation-shared feature learning for image-based kinship verification
* Deep Discriminative Feature Models (DDFMs) for Set Based Face Recognition and Distance Metric Learning
* Deep Discriminative Hashing Networks on Point-wise Labels for Image Retrieval
* Deep Discriminative Model for Video Classification
* Deep discriminative network with inception module for person re-identification
* Deep discriminative representation for generic palmprint recognition
* Deep Discriminative Representation Learning for Face Verification and Person Re-Identification on Unconstrained Condition
* Deep Discriminative Representation Learning with Attention Map for Scene Classification
* Deep Disentangled Representations for Volumetric Reconstruction
* Deep Disentangling Siamese Network for Frontal Face Synthesis Under Neutral Illumination
* Deep Disguised Faces Recognition
* Deep Distance Transform for Tubular Structure Segmentation in CT Scans
* Deep Distance Transform to Segment Visually Indistinguishable Merged Objects
* Deep Distillation Recursive Network for Remote Sensing Imagery Super-Resolution
* Deep Domain Adaptation Based Multi-Spectral Salient Object Detection
* Deep Domain Adaptation by Geodesic Distance Minimization
* Deep domain adaptation for describing people based on fine-grained clothing attributes
* Deep Domain Adaptation for Pavement Crack Detection
* Deep domain adaptation with manifold aligned label transfer
* Deep domain adaptation with ordinal regression for pain assessment using weakly-labeled videos
* Deep Domain Generalization via Conditional Invariant Adversarial Networks
* Deep Domain Generalization With Structured Low-Rank Constraint
* Deep domain similarity Adaptation Networks for across domain classification
* Deep Drone Acrobatics
* Deep Dual-Channel Neural Network for Image-Based Smoke Detection
* Deep Dual-Modal Traffic Objects Instance Segmentation Method Using Camera and LIDAR Data for Autonomous Driving
* Deep Dual-Resolution Networks for Real-Time and Accurate Semantic Segmentation of Traffic Scenes
* Deep Dual Consecutive Network for Human Pose Estimation
* Deep Dual Learning for Semantic Image Segmentation
* Deep Dual Relation Modeling for Egocentric Interaction Recognition
* Deep Dynamic Neural Networks for Gesture Segmentation and Recognition
* Deep Dynamic Neural Networks for Multimodal Gesture Segmentation and Recognition
* Deep Dynamic Scene Deblurring for Unconstrained Dual-Lens Cameras
* Deep Dynamic Scene Deblurring from Optical Flow
* Deep Edge-Aware Interactive Colorization against Color-Bleeding Effects
* Deep Edge Guided Recurrent Residual Learning for Image Super-Resolution
* Deep edge map guided depth super resolution
* Deep EEG Superresolution via Correlating Brain Structural and Functional Connectivities
* Deep eigen-filters for face recognition: Feature representation via unsupervised multi-structure filter learning
* Deep Eikonal Solvers
* Deep Elastic Networks With Model Selection for Multi-Task Learning
* Deep embedded clustering with distribution consistency preservation for attributed networks
* Deep embedding learning with adaptive large margin N-pair loss for image retrieval and clustering
* Deep Embedding Learning With Discriminative Sampling Policy
* Deep Embedding Network for Clustering
* Deep embedding network for robust age estimation
* Deep Embedding Using Bayesian Risk Minimization with Application to Sketch Recognition
* Deep Embeddings-based Place Recognition Robust to Motion Blur
* Deep emotion recognition based on audio-visual correlation
* Deep Emotion Transfer Network for Cross-database Facial Expression Recognition
* Deep Emulator for Secondary Motion of 3D Characters, A
* Deep Encoder-Decoder Network-Based Wildfire Segmentation Using Drone Images in Real-Time
* Deep End-to-End Alignment and Refinement for Time-of-Flight RGB-D Module
* Deep End-to-End Time-of-Flight Imaging
* Deep End2End Voxel2Voxel Prediction
* Deep Enhanced Weakly-Supervised Hashing With Iterative Tag Refinement
* Deep Enhancement for 3D HDR Brain Image Compression
* Deep ensemble-based hard sample mining for food recognition
* Deep Ensemble Learning Approach to Lung CT Segmentation for Covid-19 Severity Assessment, A
* Deep Ensemble Learning by Diverse Knowledge Distillation for Fine-Grained Object Classification
* Deep Ensemble Learning Model Based on Covariance Pooling of Multi-Layer CNN Features
* Deep Ensemble Model for Spam Classification in Twitter via Sentiment Extraction: Bio-Inspiration-Based Classification Model
* Deep ensemble network using distance maps and body part features for skeleton based action recognition
* Deep Ensemble Sparse Regression Network for Alzheimer's Disease Diagnosis
* Deep Ensemble Tracking
* Deep Ensembles for Hyperspectral Image Data Classification and Unmixing
* Deep Entwined Learning Head Pose and Face Alignment Inside an Attentional Cascade with Doubly-Conditional fusion
* Deep Epitome for Unravelling Generalized Hamming Network
* Deep Equilibrium Optical Flow Estimation
* Deep Evaluator for Image Retargeting Quality by Geometrical and Contextual Interaction, A
* Deep Execution Monitor for Robot Assistive Tasks
* Deep Exemplar-Based Video Colorization
* Deep Exemplar 2D-3D Detection by Adapting from Real to Rendered Views
* Deep Expander Networks: Efficient Deep Networks from Graph Theory
* Deep expectation-maximization network for unsupervised image segmentation and clustering
* Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks
* Deep Extreme Cut: From Extreme Points to Object Segmentation
* Deep Eye-CU (DECU): Summarization of Patient Motion in the ICU
* Deep Face Deblurring
* Deep Face Detector Adaptation Without Negative Transfer or Catastrophic Forgetting
* Deep face generation from a rough sketch using multi-level generative adversarial networks
* Deep Face Identification Network Enhanced by Facial Attributes Prediction, A
* Deep face liveness detection based on nonlinear diffusion using convolution neural network
* Deep Face Model Compression Using Entropy-Based Filter Selection
* Deep face recognition for dim images
* Deep Face Recognition
* Deep Face Super-Resolution With Iterative Collaboration Between Attentive Recovery and Landmark Estimation
* Deep Face Swapping via Cross-identity Adversarial Training
* Deep Face Verification for Spherical Images
* Deep Face Video Inpainting via UV Mapping
* Deep Facial Action Unit Recognition and Intensity Estimation from Partially Labelled Data
* Deep Facial Action Unit Recognition from Partially Labeled Data
* Deep Facial Age Estimation Using Conditional Multitask Learning With Weak Label Expansion
* Deep facial emotion recognition in video using eigenframes
* Deep Facial Expression Recognition with Occlusion Regularization
* Deep Facial Expression Recognition: A Survey
* deep facial landmarks detection with facial contour and facial components constraint, A
* Deep Facial Non-Rigid Multi-View Stereo
* Deep Factorised Inverse-Sketching
* Deep Fair Clustering for Visual Learning
* Deep Fashion Analysis with Feature Map Upsampling and Landmark-Driven Attention
* Deep Fashion3d: A Dataset and Benchmark for 3d Garment Reconstruction from Single Images
* Deep Feature Aggregation and Image Re-Ranking With Heat Diffusion for Image Retrieval
* Deep Feature Alignment Neural Networks for Domain Adaptation of Hyperspectral Data
* Deep feature annotation by iterative meta-pseudo-labeling on 2D projections
* Deep feature augmentation for occluded image classification
* Deep Feature Based End-to-End Transportation Network for Multi-Target Tracking
* Deep Feature Compression for Collaborative Object Detection
* Deep Feature Compression using Rate-Distortion Optimization Guided Autoencoder
* Deep Feature Compression Using Spatio-Temporal Arrangement Toward Collaborative Intelligent World
* Deep Feature Compression With Spatio-Temporal Arranging for Collaborative Intelligence
* Deep Feature Consistent Variational Autoencoder
* Deep feature enhancement and Xgboost network for multi-organ classification
* Deep feature enhancing and selecting network for weakly supervised temporal action localization
* Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks
* Deep feature extraction and its application for hailstorm detection in a large collection of radar images
* Deep feature extraction in the DCT domain
* Deep Feature Factorization for Concept Discovery
* Deep Feature Factorization for Content-Based Image Retrieval and Localization
* Deep Feature Flow for Video Recognition
* Deep Feature Fusion for VHR Remote Sensing Scene Classification
* Deep Feature Fusion Network Based on Multiple Attention Mechanisms for Joint Iris-Periocular Biometric Recognition, A
* Deep Feature Fusion via Two-Stream Convolutional Neural Network for Hyperspectral Image Classification
* Deep Feature Fusion with Integration of Residual Connection and Attention Model for Classification of VHR Remote Sensing Images
* Deep Feature Interpolation for Image Content Changes
* Deep feature learning for dummies: A simple auto-encoder training method using Particle Swarm Optimisation
* Deep feature learning for gender classification with covered/camouflaged faces
* Deep feature learning via structured graph Laplacian embedding for person re-identification
* Deep feature learning with relative distance comparison for person re-identification
* Deep feature matching for dense correspondence
* Deep Feature Migration for Real-Time Mapping of Urban Street Shading Coverage Index Based on Street-Level Panorama Images
* Deep Feature Prior Guided Face Deblurring
* Deep Feature Pyramid Reconfiguration for Object Detection
* Deep feature representation based on privileged knowledge transfer
* Deep feature representation for anti-fraud system
* Deep Feature Space: A Geometrical Perspective
* Deep features for person re-identification on metric learning
* Deep Features for Recognizing Disguised Faces in the Wild
* Deep Features for Text Spotting
* Deep features fusion for user authentication based on human activity
* Deep Features Fusion with Mutual Attention Transformer for Skin Lesion Diagnosis
* Deep Features or Not: Temperature and Time Prediction in Outdoor Scenes
* Deep Feedback Inverse Problem Solver
* Deep Few-Shot Learning for Hyperspectral Image Classification
* Deep filter banks for texture recognition and segmentation
* Deep Filter Banks for Texture Recognition, Description, and Segmentation
* Deep Filtering: Signal Extraction and Reconstruction Using Complex Time-Frequency Filters
* Deep finger texture learning for verifying people
* Deep Fisher discriminant learning for mobile hand gesture recognition
* Deep Fisher Kernels: End to End Learning of the Fisher Kernel GMM Parameters
* Deep Fisher Score Representation via Sparse Coding
* Deep Fishing: Gradient Features from Deep Nets
* Deep Fitting Degree Scoring Network for Monocular 3D Object Detection
* Deep Floor Plan Recognition Using a Multi-Task Network With Room-Boundary-Guided Attention
* Deep Flow-Guided Video Inpainting
* Deep Forest Approach for Facial Expression Recognition
* Deep forgery discriminator via image degradation analysis
* Deep Four-Stream Siamese Convolutional Neural Network with Joint Verification and Identification Loss for Person Re-Detection, A
* Deep Fourier-Based Exposure Correction Network with Spatial-Frequency Interaction
* Deep Fourier Ranking Quantization for Semi-Supervised Image Retrieval
* Deep Frame Prediction for Video Coding
* Deep Framework Assembling Principled Modules for CS-MRI: Unrolling Perspective, Convergence Behaviors, and Practical Modeling, A
* Deep Framework for Eddy Detection and Tracking From Satellite Sea Surface Height Data, A
* Deep Framework for Hyperspectral Image Fusion Between Different Satellites, A
* Deep Free-Form Deformation Network for Object-Mask Registration
* Deep Frequency Re-calibration U-Net for Medical Image Segmentation
* Deep Fried Convnets
* Deep Fully Convolutional Embedding Networks for Hyperspectral Images Dimensionality Reduction
* Deep Fully Convolutional Network-Based Spatial Distribution Prediction for Hyperspectral Image Classification
* Deep Fully Convolutional Networks for Cadastral Boundary Detection from UAV Images
* Deep fully convolutional regression networks for single image haze removal
* Deep Functional Maps: Structured Prediction for Dense Shape Correspondence
* Deep Fundamental Matrix Estimation Without Correspondences
* Deep Fundamental Matrix Estimation
* Deep fusion based video saliency detection
* Deep Fusion Feature Representation Learning With Hard Mining Center-Triplet Loss for Person Re-Identification
* Deep Fusion for Travel Time Estimation Based on Road Network Topology
* deep fusion framework for unlabeled data-driven tumor recognition, A
* Deep Fusion Network for Splicing Forgery Localization
* Deep Fusion of Appearance and Frame Differencing for Motion Segmentation
* Deep Fusion of DOM and DSM Features for Benggang Discovery
* Deep fusion of multi-view and multimodal representation of ALS point cloud for 3D terrain scene recognition
* Deep Fusion of Multiple Semantic Cues for Complex Event Recognition
* Deep Fusion of RGB and NIR Paired Images Using Convolutional Neural Networks
* Deep Fusion Siamese Network for Automatic Kinship Verification
* Deep Fusion uNet for Mapping Forests at Tree Species Levels with Multi-Temporal High Spatial Resolution Satellite Imagery, A
* Deep Fusionnet for Point Cloud Semantic Segmentation
* Deep Future Gaze: Gaze Anticipation on Egocentric Videos Using Adversarial Networks
* Deep Gait Recognition: A Survey
* Deep Gait Relative Attribute using a Signed Quadratic Contrastive Loss
* Deep Garment Image Matting for a Virtual Try-on System
* Deep gated attention networks for large-scale street-level scene segmentation
* Deep Gaussian Conditional Random Field Network: A Model-Based Deep Network for Discriminative Denoising
* Deep Gaussian Denoiser Epistemic Uncertainty and Decoupled Dual-Attention Fusion
* Deep Gaussian processes for biogeophysical parameter retrieval and model inversion
* Deep Gaussian Scale Mixture Prior for Image Reconstruction
* Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging
* Deep Generalization of Structured Low-Rank Algorithms (Deep-SLR)
* Deep Generalized Unfolding Networks for Image Restoration
* Deep Generative-Discriminative Learning for Multimodal Representation in Imaging Genetics, A
* Deep Generative Adversarial Compression Artifact Removal
* Deep Generative Adversarial Networks for the Sparse Signal Denoising
* Deep Generative Adversarial Neural Networks for Compressive Sensing MRI
* Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution
* deep generative directed network for scene depth ordering, A
* Deep Generative Filter for Motion Deblurring
* Deep generative image priors for semantic face manipulation
* Deep Generative Mixture Model for Robust Imbalance Classification
* Deep Generative Model for Image Inpainting With Local Binary Pattern Learning and Spatial Attention
* Deep Generative Model for Robust Imbalance Classification
* Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models
* Deep Generative Models for Weakly-Supervised Multi-Label Classification
* Deep generative models: Survey
* Deep generative smoke simulator: connecting simulated and real data
* Deep generative video prediction
* deep generic to specific recognition model for group membership analysis using non-verbal cues, A
* deep genetic algorithm for human activity recognition leveraging fog computing frameworks, A
* Deep Genetic Programming Based Methodology for Art Media Classification Robust to Adversarial Perturbations, A
* Deep Geodesic Learning for Segmentation and Anatomical Landmarking
* Deep geometric convolutional network for automatic modulation classification
* Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence
* Deep Geometric Prior for Surface Reconstruction
* Deep Gestalt Reasoning Model: Interpreting Electrophysiological Signals Related to Cognition
* Deep Gesture Video Generation With Learning on Regions of Interest
* Deep Global Generalized Gaussian Networks
* Deep Global Registration
* Deep Globally Constrained MRFs for Human Pose Estimation
* Deep gradient prior network for DEM super-resolution: Transfer learning from image to DEM
* Deep Gradient Projection Networks for Pan-sharpening
* Deep gradual flash fusion for low-light enhancement
* Deep Graph-Convolutional Generative Adversarial Network for Semi-Supervised Learning on Graphs
* Deep Graph-Convolutional Image Denoising
* Deep graph clustering with multi-level subspace fusion
* Deep Graph Convolutional Networks for Accurate Automatic Road Network Selection
* Deep Graph Convolutional Quantization Networks for Image Retrieval
* Deep Graph Gaussian Processes for Short-Term Traffic Flow Forecasting From Spatiotemporal Data
* Deep Graph Matching under Quadratic Constraint
* Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers
* Deep Graph Metric Learning for Weakly Supervised Person Re-Identification
* Deep Graphical Feature Learning for the Feature Matching Problem
* Deep Graphical Model for Layered Knowledge Transfer, A
* Deep Graphics Encoder for Real-Time Video Makeup Synthesis from Example
* Deep Ground Filtering of Large-Scale ALS Point Clouds via Iterative Sequential Ground Prediction
* Deep Group-Shuffling Random Walk for Person Re-identification
* Deep Group-Wise Fully Convolutional Network for Co-Saliency Detection With Graph Propagation
* deep grouping fusion neural network for multimedia content understanding, A
* Deep Grouping Model for Unified Perceptual Parsing
* Deep Growing Learning
* Deep Guided Context-aware Network for Anomaly Detection in Musculoskeletal Radiographs
* Deep Guided Learning for Fast Multi-Exposure Image Fusion
* Deep Halftoning with Reversible Binary Pattern
* Deep Hand: How to Train a CNN on 1 Million Hand Images When Your Data is Continuous and Weakly Labelled
* Deep hard modality alignment for visible thermal person re-identification
* Deep Hash Distillation for Image Retrieval
* Deep Hash Learning for Remote Sensing Image Retrieval
* Deep Hash Remote-Sensing Image Retrieval Assisted by Semantic Cues
* Deep Hash Remote Sensing Image Retrieval with Hard Probability Sampling
* Deep hashing for compact binary codes learning
* Deep Hashing for Large Scale Systems
* Deep Hashing for Scalable Image Search
* Deep Hashing Learning for Visual and Semantic Retrieval of Remote Sensing Images
* Deep hashing network for material defect image classification
* Deep Hashing Network for Unsupervised Domain Adaptation
* Deep Hashing Technique for Remote Sensing Image-Sound Retrieval, A
* Deep Hashing Using Proxy Loss on Remote Sensing Image Retrieval
* Deep Hashing via Discrepancy Minimization
* Deep Hashing with Active Pairwise Supervision
* Deep Hashing with Hash-Consistent Large Margin Proxy Embeddings
* Deep Hashing With Multi-Central Ranking Loss for Multi-Label Image Retrieval
* Deep Hashing with Triplet Labels and Unification Binary Code Selection for Fast Image Retrieval
* Deep hashing with triplet quantization loss
* Deep Hashing with Weighted Spatial Importance
* Deep HDR Imaging via A Non-Local Network
* Deep Head Pose Estimation from Depth Data for In-Car Automotive Applications
* Deep Head Pose Estimation Using Synthetic Images and Partial Adversarial Domain Adaption for Continuous Label Spaces
* Deep Head Pose: Gaze-Direction Estimation in Multimodal Video
* Deep Heterogeneous Face Recognition Networks Based on Cross-Modal Distillation and an Equitable Distance Metric
* Deep Heterogeneous Feature Fusion for Template-Based Face Recognition
* Deep Heterogeneous Hashing for Face Video Retrieval
* Deep Hierarchical Encoder-Decoder Network for Image Captioning
* Deep hierarchical encoding model for sentence semantic matching
* Deep hierarchical guidance and regularization learning for end-to-end depth estimation
* Deep hierarchical parsing for semantic segmentation
* Deep Hierarchical Representation of Point Cloud Videos via Spatio-Temporal Decomposition
* Deep Hierarchical Semantic Segmentation
* Deep Hierarchical Vision Transformer for Hyperspectral and LiDAR Data Classification
* Deep Hierarchies in the Primate Visual Cortex: What Can We Learn for Computer Vision?
* Deep High-order Supervised Hashing for Image Retrieval
* Deep High-Resolution Representation Learning for Cross-Resolution Person Re-Identification
* Deep High-Resolution Representation Learning for Human Pose Estimation
* Deep High-Resolution Representation Learning for Visual Recognition
* Deep High Dynamic Range Imaging Using Differently Exposed Stereo Images
* Deep High Dynamic Range Imaging with Large Foreground Motions
* Deep Homography-Based Video Stabilization
* Deep Homography Estimation for Dynamic Scenes
* Deep Homography Estimation with Pairwise Invertibility Constraint
* Deep Homography for Efficient Stereo Image Compression
* Deep Hotel Recommender System Using Aspect-based Sentiment Analysis of Users' Reviews
* Deep Hough-transform Line Priors
* Deep Hough Transform for Semantic Line Detection
* Deep Hough Voting for 3D Object Detection in Point Clouds
* Deep Hough Voting for Robust Global Registration
* Deep Human-Interaction and Association by Graph-Based Learning for Multiple Object Tracking in the Wild
* Deep Human Parsing with Active Template Regression
* Deep Hybrid Approach for Hate Speech Analysis, A
* Deep Hybrid Compression Network for Lidar Point Cloud Classification and Segmentation
* Deep Hybrid Graph Kernel Through Deep Learning Networks, A
* Deep hybrid learning for facial expression binary classifications and predictions
* deep hybrid model for advertisements detection in broadcast TV and radio content, A
* Deep hybrid model for single image dehazing and detail refinement
* Deep Hybrid Models for Out-of-Distribution Detection
* Deep Hybrid Self-Prior for Full 3D Mesh Generation
* Deep Hybrid Similarity Learning for Person Re-Identification
* Deep Hyperspectral-Depth Reconstruction Using Single Color-Dot Projection
* Deep Hyperspectral Prior: Single-Image Denoising, Inpainting, Super-Resolution
* Deep Idempotent Network for Efficient Single Image Blind Deblurring
* Deep Illumination-Aware Dehazing With Low-Light and Detail Enhancement
* Deep Image-based Illumination Harmonization
* Deep Image-to-Video Adaptation and Fusion Networks for Action Recognition
* Deep Image Blending
* Deep Image Clustering Using Convolutional Autoencoder Embedding with Inception-Like Block
* Deep Image Clustering Using Self-learning Optimization in a Variational Auto-encoder
* Deep Image Clustering with Category-style Representation
* Deep Image Coding Scheme With Generative Network to Learn From Correlated Images, A
* Deep Image Comparator: Learning to Visualize Editorial Change
* Deep Image Compositing
* Deep image compression based on multi-scale deformable convolution
* Deep Image Compression Toward Machine Vision: A Unified Optimization Framework
* Deep Image Compression Using Decoder Side Information
* Deep image compression using scene text quality assessment
* Deep Image Compression with Iterative Non-Uniform Quantization
* Deep Image Compression with Latent Optimization and Piece-wise Quantization Approximation
* Deep image compression with multi-stage representation
* Deep Image Debanding
* Deep Image Deblurring: A Survey
* Deep Image Demosaicking Using a Cascade of Convolutional Residual Denoising Networks
* Deep Image Denoising With Adaptive Priors
* Deep Image Destruction: Vulnerability of Deep Image-to-Image Models against Adversarial Attacks
* Deep Image Harmonization
* Deep image inpainting via contextual modelling in ADCT domain
* Deep Image Inpainting With Enhanced Normalization and Contextual Attention
* Deep Image Interpolation: A Unified Unsupervised Framework for Pansharpening
* Deep Image Matting
* Deep Image Prior Amplitude SAR Image Anonymization
* Deep image prior based defense against adversarial examples
* Deep Image Prior Learning Algorithm for Joint Selective Segmentation and Registration, A
* Deep Image Prior Regularized by Coupled Total Variation for Image Colorization
* Deep Image Prior
* Deep Image Registration With Depth-Aware Homography Estimation
* Deep Image Retrieval is not Robust to Label Noise
* Deep Image Retrieval: Learning Global Representations for Image Search
* deep image segmentation-based method for stitching ancient-book images without an overlapping region, A
* Deep Image Set Hashing
* Deep Image Spatial Transformation for Person Image Generation
* Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection
* Deep Imbalanced Attribute Classification Using Visual Attention Aggregation
* Deep Imbalanced Learning for Face Recognition and Attribute Prediction
* Deep imitator: Handwriting calligraphy imitation via deep attention networks
* Deep Implicit Moving Least-Squares Functions for 3D Reconstruction
* Deep Implicit Surface Point Prediction Networks
* Deep Implicit Templates for 3D Shape Representation
* Deep Implicit Volume Compression
* Deep Impression: Audiovisual Deep Residual Networks for Multimodal Apparent Personality Trait Recognition
* Deep In-Loop Filtering via Multi-Domain Correlation Learning and Partition Constraint for Multiview Video Coding
* Deep Incremental Hashing Network for Efficient Image Retrieval
* Deep Incremental Optical Flow Coding For Learned Video Compression
* Deep Independence Network Analysis of Structural Brain Imaging: Application to Schizophrenia
* deep inference learning framework for healthcare, A
* Deep Inference Networks for Reliable Vehicle Lateral Position Estimation in Congested Urban Environments
* Deep Information Sharing Network for Multi-Contrast Compressed Sensing MRI Reconstruction, A
* Deep Inhomogeneous Regularization For Transfer Learning
* Deep Insight into Measuring Face Image Utility with General and Face-specific Image Quality Metrics, A
* Deep Insights into Convolutional Networks for Video Recognition
* Deep Inspection: An Electrical Distribution Pole Parts Study VIA Deep Neural Networks
* Deep Integration: A Multi-Label Architecture for Road Scene Recognition
* Deep intensity guidance based compression artifacts reduction for depth map
* Deep Inter Coding with Interpolated Reference Frame for Hierarchical Coding Structure
* Deep Inter Prediction Via Pixel-Wise Motion Oriented Reference Generation
* Deep Interactive Denoiser (DID) for X-Ray Computed Tomography
* Deep Interactive Image Matting With Feature Propagation
* Deep interactive image segmentation based on region and Boundary-click guidance
* Deep Interactive Object Selection
* Deep Interactive Thin Object Selection
* Deep Internal Learning for Inpainting of Cloud-Affected Regions in Satellite Imagery
* Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty
* Deep Intra Prediction by Jointly Exploiting Local and Non-Local Similarities
* Deep Inverse Halftoning via Progressively Residual Learning
* Deep Inverse Reinforcement Learning for Behavior Prediction in Autonomous Driving: Accurate Forecasts of Vehicle Motion
* Deep Iris Compression
* Deep Irregular Convolutional Residual LSTM for Urban Traffic Passenger Flows Prediction
* Deep Isometric Maps
* Deep Iterative Residual Convolutional Network for Single Image Super-Resolution
* Deep Iterative Surface Normal Estimation
* Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval
* Deep Joint Deinterlacing and Denoising for Single Shot Dual-ISO HDR Reconstruction
* Deep Joint Demosaicing and High Dynamic Range Imaging Within a Single Shot
* Deep joint demosaicking and de-noising
* Deep Joint Depth Estimation and Color Correction From Monocular Underwater Images Based on Unsupervised Adaptation Networks
* Deep joint discriminative learning for vehicle re-identification and retrieval
* Deep Joint Image Filtering
* Deep Joint Noise Estimation and Removal for High ISO JPEG Images
* Deep joint rain and haze removal from a single image
* Deep Joint Rain Detection and Removal from a Single Image
* Deep Journey into Super-Resolution: A Survey, A
* Deep Jpeg Image Deblocking Using Residual Maxout Units
* Deep k-Means: Jointly clustering with k-Means and learning representations
* Deep K-SVD Denoising
* deep Kalman filter network for hand kinematics estimation using sEMG, A
* Deep Kalman Filtering Network for Video Compression Artifact Reduction
* Deep Kernel Extreme-Learning Machine for the Spectral-Spatial Classification of Hyperspectral Imagery
* Deep Kernel Representation for Image Reconstruction in PET
* Deep Kernelized Autoencoders
* Deep Kinematic Pose Regression
* Deep Kinematics Analysis for Monocular 3D Human Pose Estimation
* Deep Kinship Verification and Retrieval Based on Fusion Siamese Neural Network
* Deep Kinship Verification VIA Appearance-Shape Joint Prediction and Adaptation-Based Approach
* Deep knowledge integration of heterogeneous features for domain adaptive SAR target recognition
* Deep Koopman Representation for Control over Images (DKRCI)
* Deep Koopman Traffic Modeling for Freeway Ramp Metering
* Deep Label Distribution Learning for Apparent Age Estimation
* Deep Label Distribution Learning With Label Ambiguity
* Deep label refinement for age estimation
* Deep LAC: Deep localization, alignment and classification for fine-grained recognition
* Deep ladder reconstruction-classification network for unsupervised domain adaptation
* Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution
* Deep Latent Spectral Representation Learning-Based Hyperspectral Band Selection for Target Detection
* Deep Layer Aggregation
* Deep LDA-Pruned Nets for Efficient Facial Gender Classification
* Deep leaf: Mask R-CNN based leaf detection and segmentation from digitized herbarium specimen images
* Deep Learned Cumulative Attribute Regression
* Deep Learning-Assisted Smart Process Planning, Robotic Wireless Sensor Networks, and Geospatial Big Data Management Algorithms in the Internet of Manufacturing Things
* Deep Learning-Based 500 m Spatio-Temporally Continuous Air Temperature Generation by Fusing Multi-Source Data
* Deep Learning-Based Action Detection in Untrimmed Videos: A Survey
* Deep Learning-based Analysis of The Relationships Between Climate Change and Crop Yield in China
* Deep learning-based apple detection using a suppression mask R-CNN
* Deep Learning-Based Apple Detection with Attention Module and Improved Loss Function in YOLO
* Deep Learning-Based Approach for Automated Yellow Rust Disease Detection from High-Resolution Hyperspectral UAV Images, A
* Deep Learning-based Approach for Automatic Leather Classification in Industry 4.0, A
* Deep learning-based approach to latent overlapped fingerprints mask segmentation
* Deep Learning-Based Approach to Progressive Vehicle Re-identification for Urban Surveillance, A
* Deep Learning-based Assessment of Facial Periodic Affect in Work-like Settings
* Deep learning-based automated detection of human knee joint's synovial fluid from magnetic resonance images with transfer learning
* Deep learning-based automated mitosis detection in histopathology images for breast cancer grading
* Deep Learning-Based Automatic Clutter/Interference Detection for HFSWR
* Deep Learning-Based Automatic Extraction of Cyanobacterial Blooms from Sentinel-2 MSI Satellite Data
* Deep learning-based blind image super-resolution with iterative kernel reconstruction and noise estimation
* Deep Learning-Based Blockchain Mechanism for Secure Internet of Drones Environment, A
* Deep Learning-Based CAD System For Renal Allograft Assessment: Diffusion, Bold, And Clinical Biomarkers, A
* Deep Learning-Based Change Detection in Remote Sensing Images: A Review
* Deep Learning-Based Chroma Prediction for Intra Versatile Video Coding
* Deep Learning-Based Classification and Reconstruction of Residential Scenes From Large-Scale Point Clouds
* Deep Learning-Based Classification of Illumination Maps for Exposing Face Splicing Forgeries in Images
* Deep Learning-Based Classification of Malignant and Benign Cells in Dermatoscopic Images via Transfer Learning Approach
* Deep Learning-Based Concept Detection in vitrivr
* Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation
* Deep learning-based detection from the perspective of small or tiny objects: A survey
* Deep Learning-Based Development of Personalized Human Head Model With Non-Uniform Conductivity for Brain Stimulation
* Deep Learning-based Distortion Sensitivity Prediction for Full-Reference Image Quality Assessment
* Deep Learning-Based Drivers Emotion Classification System in Time Series Data for Remote Applications
* Deep Learning-Based ECG-Free Cardiac Navigation for Multi-Dimensional and Motion-Resolved Continuous Magnetic Resonance Imaging
* Deep learning-based embedded license plate localisation system
* Deep Learning-Based Emulation of Radiative Transfer Models for Top-of-Atmosphere BRDF Modelling Using Sentinel-3 OLCI
* Deep Learning-based Face Recognition and the Robustness to Perspective Distortion
* Deep Learning-Based Face Super-Resolution: A Survey
* Deep Learning-based Fast Fake News Detection Model for Cyber-Physical Social Services, A
* Deep Learning-Based Fast Hand Gesture Recognition Using Representative Frames
* Deep Learning-Based Flood Area Extraction for Fully Automated and Persistent Flood Monitoring Using Cloud Computing
* Deep Learning-Based Forgery Attack on Document Images
* Deep Learning-Based Framework for Automated Extraction of Building Footprint Polygons from Very High-Resolution Aerial Imagery, A
* deep learning-based framework for fast generation of photorealistic hair animations, A
* Deep Learning-Based Framework for Soil Moisture Content Retrieval of Bare Soil from Satellite Data
* Deep Learning-Based Generalized System for Detecting Pine Wilt Disease Using RGB-Based UAV Images, A
* Deep Learning-Based Generation of Building Stock Data from Remote Sensing for Urban Heat Demand Modeling
* Deep learning-based grasp-detection method for a five-fingered industrial robot hand
* Deep learning-based helmet wear analysis of a motorcycle rider for intelligent surveillance system
* Deep Learning-Based Hexrep Neural Network for Convergence Free with Operator's Efficacy in Hexagonal Image Processing
* Deep Learning-Based Human Pose Estimation
* Deep learning-based hybrid model for short-term subway passenger flow prediction using automatic fare collection data
* Deep learning-based hybrid model for the behaviour prediction of surrounding vehicles over long-time periods
* Deep Learning-Based Hyperspectral Object Classification Approach via Imbalanced Training Samples Handling, A
* Deep Learning-Based Identification of Collapsed, Non-Collapsed and Blue Tarp-Covered Buildings from Post-Disaster Aerial Images
* Deep Learning-Based Image Registration in Dynamic Myocardial Perfusion CT Imaging
* Deep Learning-Based Imaging using Single-Lens and Multi-Aperture Diffractive Optical Systems
* Deep Learning-Based Improved Object Recognition in Warehouses
* Deep Learning-Based Improved WCM Technique for Soil Moisture Retrieval with Satellite Images
* Deep Learning-Based Incorporation of Planar Constraints for Robust Stereo Depth Estimation in Autonomous Vehicle Applications
* Deep learning-based individual tree crown delineation in mangrove forests using very-high-resolution satellite imagery
* Deep Learning-Based Instance Segmentation Method of Litchi Canopy from UAV-Acquired Images
* Deep learning-based intelligent surveillance model for detection of anomalous activities from videos
* Deep Learning-Based Man-Made Object Detection from Hyperspectral Data
* Deep Learning-Based Masonry Wall Image Analysis
* Deep Learning-Based Medical Image Fusion Using Integrated Joint Slope Analysis with Probabilistic Parametric Steered Image Filter
* Deep Learning-Based Method for Detection of External Air Conditioner Units from Street View Images
* Deep Learning-Based Method for Extracting Standing Wood Feature Parameters from Terrestrial Laser Scanning Point Clouds of Artificially Planted Forest, A
* deep learning-based method for pixel-level crack detection on concrete bridges, A
* Deep Learning-Based Method for Predicting Volumes of Nasopharyngeal Carcinoma for Adaptive Radiation Therapy Treatment, A
* Deep Learning-Based Method for Quantifying and Mapping the Grain Size on Pebble Beaches, A
* Deep Learning-Based Method for the Semi-Automatic Identification of Built-Up Areas within Risk Zones Using Aerial Imagery and Multi-Source GIS Data: An Application for Landslide Risk, A
* Deep Learning-Based Mobile Crowdsensing Scheme by Predicting Vehicle Mobility, A
* Deep Learning-Based Model That Reduces Speed of Sound Aberrations for Improved In Vivo Photoacoustic Imaging, A
* Deep Learning-Based Multi-Focus Image Fusion: A Survey and a Comparative Study
* Deep Learning-Based Named Entity Recognition and Knowledge Graph Construction for Geological Hazards
* Deep Learning-Based Noise-Resilient Keyword Spotting Engine for Embedded Platforms, A
* Deep Learning-Based Nonlinear Transform for HEVC Intra Coding
* Deep learning-based object detection in low-altitude UAV datasets: A survey
* Deep Learning-Based Object Detection System for Identifying Weeds Using UAS Imagery
* Deep Learning-Based Object Detection Techniques for Remote Sensing Images: A Survey
* Deep Learning-Based Obstacle Detection and Depth Estimation
* Deep learning-based panoptic segmentation: Recent advances and perspectives
* Deep Learning-Based Perceptual Video Quality Enhancement for 3D Synthesized View
* Deep learning-based person re-identification methods: A survey and outlook of recent works
* Deep Learning-Based Phenological Event Modeling for Classification of Crops
* Deep Learning-Based Photoacoustic Imaging of Vascular Network Through Thick Porous Media
* Deep Learning-Based Picture-Wise Just Noticeable Distortion Prediction Model for Image Compression
* Deep Learning-Based Pipeline for Celiac Disease Diagnosis Using Histopathological Images, A
* Deep Learning-Based Point Upsampling for Edge Enhancement of 3D-Scanned Data and Its Application to Transparent Visualization
* Deep Learning-based Pupil Center Detection for Fast and Accurate Eye Tracking System
* Deep Learning-Based Radar Composite Reflectivity Factor Estimations from Fengyun-4A Geostationary Satellite Observations
* Deep learning-based real-time fine-grained pedestrian recognition using stream processing
* Deep learning-based real-time VPN encrypted traffic identification methods
* Deep Learning-based Reconstruction of Spatiotemporally Fused Satellite Images for Smart Agriculture Applications In A Heterogeneous Agricultural Region
* Deep Learning-Based Regression and Classification for Automatic Landmark Localization in Medical Images
* Deep learning-based remote and social sensing data fusion for urban region function recognition
* Deep Learning-Based Robust Change Detection Approach for Very High Resolution Remotely Sensed Images with Multiple Features, A
* Deep Learning-based Semantic Segmentation for Touchless Fingerprint Recognition
* Deep learning-based semantic segmentation of interphase cells and debris from metaphase images
* Deep Learning-Based Semantic Segmentation of Urban Features in Satellite Images: A Review and Meta-Analysis
* Deep learning-based single image face depth data enhancement
* Deep Learning-Based Single Image Super-Resolution: An Investigation for Dense Scene Reconstruction with UAS Photogrammetry
* Deep Learning-Based Sinogram Completion for Low-Dose CT
* Deep Learning-Based Spectral Unmixing for Optoacoustic Imaging of Tissue Oxygen Saturation
* Deep Learning-Based Super-Resolution Reconstruction and Algorithm Acceleration of Mars Hyperspectral CRISM Data
* Deep Learning-Based System for Product Recognition in Intelligent Retail Environment, A
* Deep Learning-based Techniques for Plant Diseases Recognition in Real-field Scenarios
* Deep Learning-Based Technology in Responses to the Joint Call for Proposals on Video Compression With Capability Beyond HEVC
* Deep Learning-Based Thermal Image Analysis for Pavement Defect Detection and Classification Considering Complex Pavement Conditions
* Deep Learning-Based Traffic Safety Solution for a Mixture of Autonomous and Manual Vehicles in a 5G-Enabled Intelligent Transportation System
* Deep Learning-based Type Identification of Volumetric MRI Sequences
* Deep Learning-based Unified Solution for Character Recognition, A
* Deep Learning-Based Vehicle Behavior Prediction for Autonomous Driving Applications: A Review
* Deep Learning-Based Vehicle Classification Using an Ensemble of Local Expert and Global Networks
* Deep learning-based vehicle detection with synthetic image data
* Deep learning-based vehicle occupancy detection in an open parking lot using thermal camera
* Deep Learning-Based Video Coding: A Review and a Case Study
* Deep Learning-based Video Retrieval Using Object Relationships and Associated Audio Classes
* Deep Learning-Based Water Quality Retrieval in an Impounded Lake Using Landsat 8 Imagery: An Application in Dongping Lake
* Deep Learning-Driven Depth from Defocus via Active Multispectral Quasi-Random Projections with Complex Subpatterns
* Deep Learning-Generated Nighttime Reflectance and Daytime Radiance of the Midwave Infrared Band of a Geostationary Satellite
* Deep Learning-Powered Bessel-Beam Multiparametric Photoacoustic Microscopy
* deep learning-shape driven level set synergism for pulmonary nodule segmentation, A
* Deep Learning 3D Shape Surfaces Using Geometry Images
* Deep Learning Adapted to Differential Neural Networks Used as Pattern Classification of Electrophysiological Signals
* Deep Learning Advances in Computer Vision with 3D Data: A Survey
* Deep Learning Aided Time-Frequency Analysis Filter Framework for Suppressing Ionosphere Clutter
* Deep learning algorithm for breast masses classification in mammograms
* Deep Learning Algorithm for Urban Feature Extraction Using SAR Data
* deep learning algorithm to detect and classify sun glint from high-resolution aerial imagery over shallow marine environments, A
* Deep Learning Analysis of Coronary Arteries in Cardiac CT Angiography for Detection of Patients Requiring Invasive Coronary Angiography
* Deep Learning and Adaptive Graph-Based Growing Contours for Agricultural Field Extraction
* deep learning and ensemble learning based architecture for metro passenger flow forecast, A
* Deep Learning And Interactivity For Video Rotoscoping
* Deep learning and machine learning-based early survival predictions of glioblastoma patients using pre-operative three-dimensional brain magnetic resonance imaging modalities
* Deep learning and mapping based ternary change detection for information unbalanced images
* Deep Learning and Music Adversaries
* Deep learning and optimization algorithms for automatic breast cancer detection
* Deep Learning and Phenology Enhance Large-Scale Tree Species Classification in Aerial Imagery during a Biosecurity Response
* Deep learning and recurrent connectionist-based approaches for Arabic text recognition in videos
* Deep learning and RGB-D based human action, human-human and human-object interaction recognition: A survey
* Deep Learning Anthropomorphic 3D Point Clouds from a Single Depth Map Camera Viewpoint
* Deep Learning Application for Classification of Ionospheric Height Profiles Measured by Radio Occultation Technique
* Deep Learning Application for Deformation Prediction from Ground-Based InSAR, A
* Deep Learning Application to Map Weed Spatial Extent from Unmanned Aerial Vehicles Imagery, A
* Deep Learning Application to Surface Properties Retrieval Using TIR Measurements: A Fast Forward/Reverse Scheme to Deal with Big Data Analysis from New Satellite Generations
* Deep learning applications in pulmonary medical imaging: Recent updates and insights on COVID-19
* Deep Learning Applications on Multitemporal SAR (Sentinel-1) Image Classification Using Confined Labeled Data: The Case of Detecting Rice Paddy in South Korea
* Deep Learning Applied to Water Segmentation
* Deep Learning Approach for Burned Area Segmentation with Sentinel-2 Data, A
* Deep Learning Approach for Car Detection in UAV Imagery
* deep learning approach for classification of COVID and pneumonia using DenseNet-201, A
* deep learning approach for detecting and correcting highlights in endoscopic images, A
* Deep Learning Approach for Devanagari Script Recognition
* deep learning approach for face recognition based on angularly discriminative features, A
* Deep Learning Approach for Flight Delay Prediction Through Time-Evolving Graphs, A
* deep learning approach for iris sensor model identification, A
* Deep Learning Approach for LiDAR Resolution-Agnostic Object Detection, A
* Deep Learning Approach for Long-Term Traffic Flow Prediction With Multifactor Fusion Using Spatiotemporal Graph Convolutional Network, A
* deep learning approach for mapping and dating burned areas using temporal sequences of satellite images, A
* Deep Learning Approach for Microwave and Millimeter-Wave Radiometer Calibration, A
* Deep Learning Approach for Multi-Frame In-Loop Filter of HEVC, A
* Deep Learning Approach for Object Classification on Raw and Reconstructed GBSAR Data
* Deep Learning Approach for Paddy Field Detection Using Labeled Aerial Images: The Case of Detecting and Staging Paddy Fields in Central and Southern Taiwan
* Deep Learning Approach for Prediction of IVF Implantation Outcome from Day 3 and Day 5 Time-Lapse Human Embryo Image Sequences, A
* Deep Learning Approach for Real-Time 3D Human Action Recognition from Skeletal Data, A
* Deep Learning Approach for Red Lesions Detection in Video Capsule Endoscopies, A
* Deep learning approach for segmentation of plain carbon steel microstructure images
* deep learning approach for the classification of TB from NIH CXR dataset, A
* deep learning approach for the segmentation of myocardial diseases, A
* Deep Learning Approach for Urban Underground Objects Detection From Vehicle-borne Ground Penetrating Radar Data in Real-Time, A
* Deep Learning Approach in Aerial Imagery for Supporting Land Search and Rescue Missions
* Deep Learning Approach in Gregg Shorthand Word to English-Word Conversion
* Deep Learning Approach in the Discrete Cosine Transform Domain to Median Filtering Forensics, A
* Deep Learning Approach to an Enhanced Building Footprint and Road Detection in High-Resolution Satellite Imagery, A
* Deep Learning Approach to Clustering Visual Arts, A
* Deep Learning Approach to Detect Real-Time Vehicle Maneuvers Based on Smartphone Sensors, A
* deep learning approach to document image quality assessment, A
* deep learning approach to DTM extraction from imagery using rule-based training labels, A
* Deep learning approach to generate offline handwritten signatures based on online samples
* Deep Learning Approach to Hair Segmentation and Color Extraction from Facial Images, A
* deep learning approach to handwritten text recognition in the presence of struck-out text, A
* Deep Learning Approach to Improve the Retrieval of Temperature and Humidity Profiles From a Ground-Based Microwave Radiometer, A
* Deep Learning Approach to Increase the Value of Satellite Data for PM2.5 Monitoring in China, A
* Deep Learning Approach to Infer Employment Status of Passengers by Using Smart Card Data, A
* deep learning approach to patch-based image inpainting forensics, A
* Deep Learning Approach to Solar-Irradiance Forecasting in Sky-Videos, A
* Deep Learning Approach to the Detection of Gossans in the Canadian Arctic, A
* Deep Learning Approach to Urban Street Functionality Prediction Based on Centrality Measures and Stacked Denoising Autoencoder, A
* Deep Learning Approach to Writer Identification Using Inertial Sensor Data of Air-Handwriting, A
* Deep Learning Approaches Applied to Remote Sensing Datasets for Road Extraction: A State-Of-The-Art Review
* Deep Learning Approaches for Gynaecological Ultrasound Image Segmentation: A Radio-Frequency vs B-mode Comparison
* Deep Learning Approaches for Head and Operculum Segmentation in Zebrafish Microscopy Images
* Deep Learning Approaches for Image-Based Detection and Classification of Structural Defects in Bridges
* Deep Learning Approaches for Wildland Fires Remote Sensing: Classification, Detection, and Segmentation
* Deep learning approaches for workout repetition counting and validation
* Deep Learning Approaches to Earth Observation Change Detection
* Deep Learning Architecture for Batch-mode Fully Automated Field Boundary Detection, A
* Deep learning architecture for pedestrian 3-D localization and tracking using multiple cameras
* deep learning architecture for protein-protein Interaction Article identification, A
* Deep Learning Architecture for Short-Term Passenger Flow Forecasting in Urban Rail Transit
* Deep learning architectures for domain adaptation in HOV/HOT lane enforcement
* Deep Learning Architectures for Soil Property Prediction
* Deep learning assisted robust visual tracking with adaptive particle filtering
* Deep learning based Alzheimer's disease early diagnosis using T2w segmented gray matter MRI
* Deep learning based automated detection of intraretinal cystoid fluid
* Deep Learning Based Automated Vickers Hardness Measurement
* Deep learning based automatic detection of uninformative images in pulmonary optical endomicroscopy
* Deep Learning Based Automatic Immune Cell Detection for Immunohistochemistry Images
* Deep Learning Based Autonomous Vehicle Super Resolution DOA Estimation for Safety Driving
* Deep Learning Based Binocular Detection and Localization Method for Roses
* Deep Learning Based Bioresorbable Vascular Scaffolds Detection in IVOCT Images
* Deep Learning Based Caching for Self-Driving Cars in Multi-Access Edge Computing
* Deep learning based cloud detection for medium and high resolution remote sensing images of different sensors
* Deep Learning Based Computer Vision Technique for Automatic Heat Detection in Cows
* Deep Learning based Corn Kernel Classification
* Deep Learning Based Counter-Forensic Image Classification for Camera Model Identification
* Deep Learning Based Cross-Spectral Disparity Estimation For Stereo Imaging
* Deep Learning Based Dimple Segmentation for Quantitative Fractography
* Deep Learning Based Domain Adaptation with Data Fusion for Aerial Image Data Analysis
* Deep Learning Based EBCOT Source Symbol Prediction Technique for JPEG2000 Image Compression Architecture
* Deep Learning Based EEG Analysis Using Video Analytics
* Deep Learning Based Electric Pylon Detection in Remote Sensing Images
* Deep Learning Based Fence Segmentation and Removal from an Image Using a Video Sequence
* Deep Learning Based Fossil-Fuel Power Plant Monitoring in High Resolution Remote Sensing Images: A Comparative Study
* Deep Learning Based Framework for Malaria Diagnosis on High Variation Data Set, A
* Deep Learning Based Hand Detection in Cluttered Environment Using Skin Segmentation
* Deep learning based HEVC in-loop filter and noise reduction
* Deep learning based human behavior recognition in industrial workflows
* Deep Learning Based Intelligent Basketball Arena with Energy Image
* Deep Learning Based Joint PET Image Reconstruction and Motion Estimation
* Deep Learning Based Just Noticeable Difference and Perceptual Quality Prediction Models for Compressed Video
* Deep Learning Based Landmark Matching For Aerial Geolocalization
* Deep learning based language and orientation recognition in document analysis
* Deep Learning Based Mask Detection In Smart Home Entries During The Epidemic Process
* Deep Learning Based Method for Railway Overhead Wire Reconstruction from Airborne LiDAR Data, A
* Deep Learning Based Method to Delineate the Wet/Dry Shoreline and Compute Its Elevation Using High-Resolution UAS Imagery, A
* Deep Learning Based Multi-Modal Fusion Architectures for Maritime Vessel Detection
* Deep Learning Based Oil Palm Tree Detection and Counting for High-Resolution Remote Sensing Images
* Deep Learning Based on Striation Images for Underwater and Surface Target Classification
* Deep Learning Based Pipeline for Efficient Oral Cancer Screening on Whole Slide Images, A
* Deep Learning Based Retrieval of Forest Aboveground Biomass from Combined LiDAR and Landsat 8 Data
* Deep Learning Based Roof Type Classification Using Very High Resolution Aerial Imagery
* Deep Learning Based Sea Ice Classification with Gaofen-3 Fully Polarimetric SAR Data
* Deep Learning Based Segmentation of Breast Lesions in DCE-MRI
* Deep Learning Based Semi-Supervised Control for Vertical Security of Maglev Vehicle With Guaranteed Bounded Airgap
* Deep Learning Based Sepsis Intervention: The Modelling and Prediction of Severe Sepsis Onset
* Deep Learning Based Single-Photon 3D Imaging with Multiple Returns
* Deep Learning Based Single Image Dehazing
* Deep Learning Based Skin Lesions Diagnosis
* Deep Learning based Spatial-Temporal In-loop filtering for Versatile Video Coding
* Deep learning based stereo cost aggregation on a small dataset
* Deep Learning Based Super Resolution Using Significant and General Regions
* Deep Learning Based Supervised Semantic Segmentation of Electron Cryo-Subtomograms
* Deep Learning Based Thin Cloud Removal Fusing Vegetation Red Edge and Short Wave Infrared Spectral Information for Sentinel-2A Imagery
* deep learning based unified framework to detect, segment and recognize irises using spatially corresponding features, A
* Deep Learning Based Wearable Assistive System for Visually Impaired People
* Deep Learning Calibration of the High-Frequency Airborne Microwave and Millimeter-Wave Radiometer (HAMMR) Instrument
* Deep Learning Channel Estimation Based on Edge Intelligence for NR-V2I
* Deep Learning Classification by ResNet-18 Based on the Real Spectral Dataset from Multispectral Remote Sensing Images
* Deep Learning Classification of Cheatgrass Invasion in the Western United States Using Biophysical and Remote Sensing Data
* Deep Learning Classification of Chest X-Ray Images
* Deep Learning Classification of Large-Scale Point Clouds: A Case Study on Cuneiform Tablets
* Deep Learning Classifier for Advancing Video Monitoring of Atrial Fibrillation
* Deep learning classifiers for hyperspectral imaging: A review
* Deep Learning Computed Tomography: Learning Projection-Domain Weights From Image Domain in Limited Angle Problems
* Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets
* Deep Learning Denoising Based Line Spectral Estimation
* Deep Learning Detection of Cardiac Akinesis in Echocardiograms
* Deep Learning Diffuse Optical Tomography
* Deep Learning Driven Visual Path Prediction From a Single Image
* Deep learning enabled vehicle trajectory map-matching method with advanced spatial-temporal analysis
* Deep Learning Face Attributes in the Wild
* Deep Learning Face Representation from Predicting 10,000 Classes
* Deep learning feature representation for image matching under large viewpoint and viewing direction change
* Deep learning features exception for cross-season visual place recognition
* Deep learning features for handwritten keyword spotting
* Deep Learning Features for Wireless Capsule Endoscopy Analysis
* Deep Learning for 3D Point Clouds: A Survey
* Deep Learning for 3d Reconstruction of the Martian Surface Using Monocular Images: A First Glance
* Deep learning for 3D shape classification from multiple depth maps
* Deep learning for 3D vision
* Deep Learning for Acoustic Modeling in Parametric Speech Generation: A systematic review of existing techniques and future trends
* Deep Learning for Anomaly Detection: A Review
* Deep Learning for Archaeological Object Detection on LiDAR: New Evaluation Measures and Insights
* Deep Learning for Assistive Computer Vision
* Deep Learning for Astrophysics, Understanding the Impact of Attention on Variability Induced by Parameter Initialization
* Deep Learning for Audio-Based Music Classification and Tagging: Teaching Computers to Distinguish Rock from Bach
* Deep Learning for Automated Detection and Identification of Migrating American Eel Anguilla rostrata from Imaging Sonar Data
* Deep Learning for Automated Tagging of Fashion Images
* Deep Learning for Automatic Pneumonia Detection
* Deep learning for automatic sale receipt understanding
* Deep Learning for Biometrics: A Survey
* Deep learning for brain decoding
* Deep Learning for Cerebellar Ataxia Classification and Functional Score Regression
* Deep Learning for Chlorophyll-a Concentration Retrieval: A Case Study for the Pearl River Estuary
* Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound
* Deep Learning for Confidence Information in Stereo and ToF Data Fusion
* Deep learning for conifer/deciduous classification of airborne LiDAR 3D point clouds representing individual trees
* Deep learning for deepfakes creation and detection: A survey
* Deep Learning for Detecting and Classifying Ocean Objects: Application of YoloV3 for Iceberg-Ship Discrimination
* Deep Learning for Detecting Anomalies
* Deep Learning for Detecting Multiple Space-Time Action Tubes in Videos
* Deep Learning for Detection of Visible Land Boundaries from UAV Imagery
* Deep Learning for Diagnosis of Alzheimer's Disease with FDG-PET Neuroimaging
* Deep Learning for Domain-Specific Action Recognition in Tennis
* Deep Learning for Earthquake Disaster Assessment: Objects, Data, Models, Stages, Challenges, and Opportunities
* Deep learning for emotion driven user experiences
* Deep Learning for Emotional Speech Recognition
* Deep Learning for Face Anti-Spoofing: A Survey
* Deep learning for face recognition on mobile devices
* Deep Learning for Facial Action Unit Detection Under Large Head Poses
* Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting
* Deep Learning for Feature-Level Data Fusion: Higher Resolution Reconstruction of Historical Landsat Archive
* Deep Learning for Feature Extraction of Arabic Handwritten Script
* Deep learning for filtering the ground from ALS point clouds: A dataset, evaluations and issues
* Deep Learning for Fingerprint Localization in Indoor and Outdoor Environments
* Deep Learning for Free-Hand Sketch: A Survey
* Deep Learning for Generic Object Detection: A Survey
* Deep Learning for Geometric Computing
* Deep Learning for Hand Gesture Recognition on Skeletal Data
* Deep Learning for Handling Kernel/model Uncertainty in Image Deconvolution
* Deep Learning for HDR Imaging: State-of-the-Art and Future Trends
* Deep Learning for Human-Centric Activity Understanding
* Deep Learning for Human Activity Recognition in Mobile Computing
* Deep Learning for Human Affect Recognition: Insights and New Developments
* Deep Learning for Human Embryo Classification at the Cleavage Stage (day 3)
* Deep Learning for Hyperspectral Image Classification: An Overview
* Deep learning for image-based cancer detection and diagnosis: A survey
* Deep Learning for Image-to-Text Generation: A Technical Overview
* Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review
* Deep learning for image inpainting: A survey
* Deep Learning for Image Super-Resolution: A Survey
* Deep Learning for Image/Video Restoration and Super-Resolution
* Deep Learning for Improved Subsurface Imaging: Enhancing GPR Clutter Removal Performance Using Contextual Feature Fusion and Enhanced Spatial Attention
* Deep Learning for InSAR Phase Filtering: An Optimized Framework for Phase Unwrapping
* Deep Learning for Instance Retrieval: A Survey
* Deep learning for integrated hand detection and pose estimation
* Deep Learning for Intelligent Transportation Systems: A Survey of Emerging Trends
* Deep Learning For Inter-Observer Congruency Prediction
* Deep Learning for Irregularly and Regularly Missing 3-D Data Reconstruction
* Deep Learning for Land Cover Change Detection
* Deep Learning for Land Cover Classification Using Only a Few Bands
* Deep Learning for Land Use and Land Cover Classification based on Hyperspectral and Multispectral Earth Observation Data: A Review
* Deep Learning for Landslide Detection and Segmentation in High-Resolution Optical Images along the Sichuan-Tibet Transportation Corridor
* Deep Learning for Large-Scale Traffic-Sign Detection and Recognition
* Deep Learning for Light Field Saliency Detection
* Deep learning for magnification independent breast cancer histopathology image classification
* Deep Learning for Mapping Tropical Forests with TanDEM-X Bistatic InSAR Data
* Deep Learning for Metro Short-Term Origin-Destination Passenger Flow Forecasting Considering Section Capacity Utilization Ratio
* Deep Learning for Micro-Expression Recognition: A Survey
* Deep Learning for Mineral and Biogenic Oil Slick Classification With Airborne Synthetic Aperture Radar Data
* Deep Learning for Mobile Mental Health: Challenges and recent advances
* Deep Learning for Monitoring Agricultural Drought in South Asia Using Remote Sensing Data
* Deep learning for multi-modal classification of cloud, shadow and land cover scenes in PlanetScope and Sentinel-2 imagery
* Deep Learning for Multi-path Error Removal in ToF Sensors
* Deep Learning for Multi-task Plant Phenotyping
* Deep Learning for Multilabel Remote Sensing Image Annotation With Dual-Level Semantic Concepts
* Deep Learning for Multimedia Forensics
* Deep learning for multiple object tracking: a survey
* Deep Learning for Object Detection in Materials-Science Images: A Tutorial
* Deep learning for objective quality assessment of 3D images
* Deep learning for occluded and multi-scale pedestrian detection: A review
* Deep learning for ocean remote sensing: an application of convolutional neural networks for super-resolution on satellite-derived SST data
* Deep Learning for Partial Fingerprint Inpainting and Recognition
* Deep Learning for Pattern Recognition
* Deep Learning for Person Re-Identification: A Survey and Outlook
* Deep Learning for Polar Bear Detection
* Deep Learning for Polarimetric Radar Quantitative Precipitation Estimation during Landfalling Typhoons in South China
* Deep Learning for Pollen Sac Detection and Measurement on Honeybee Monitoring Video
* Deep Learning for Precipitation Estimation from Satellite and Rain Gauges Measurements
* Deep Learning for Predicting Significant Wave Height From Synthetic Aperture Radar
* Deep learning for printed document source identification
* Deep Learning for Quality Assessment in Live Video Streaming
* Deep Learning for Quantification of Epicardial and Thoracic Adipose Tissue From Non-Contrast CT
* Deep learning for real-time image steganalysis: a survey
* Deep Learning for Regularly Missing Data Reconstruction
* Deep learning for remotely sensed data
* Deep Learning for RFI Artifact Recognition in Sentinel-1 Data
* Deep Learning for Road Traffic Forecasting: Does it Make a Difference?
* Deep Learning for Robotic Vision
* Deep Learning for Safe Autonomous Driving: Current Challenges and Future Directions
* Deep Learning for SAR Image Despeckling
* Deep Learning for SAR Ship Detection: Past, Present and Future
* Deep Learning for Security in Digital Twins of Cooperative Intelligent Transportation Systems
* Deep Learning for Seeing Through Window With Raindrops
* Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography
* Deep Learning for Seismic Inverse Problems: Toward the Acceleration of Geophysical Analysis Workflows
* Deep Learning for Semantic Segmentation of 3d Point Cloud
* Deep learning for sensor-based activity recognition: A survey
* Deep Learning for Sensor-Based Human Activity Recognition: Overview, Challenges, and Opportunities
* Deep Learning for Shot Classification in Gynecologic Surgery Videos
* Deep Learning for Simultaneous Seismic Image Super-Resolution and Denoising
* Deep Learning for Single Image Super-Resolution: A Brief Review
* Deep Learning for Soil and Crop Segmentation from Remotely Sensed Data
* Deep learning for source camera identification on mobile devices
* Deep Learning for Spatio-Temporal Modeling of Dynamic Spontaneous Emotions
* Deep Learning for Surface Material Classification Using Haptic and Visual Information
* Deep Learning for Toponym Resolution: Geocoding Based on Pairs of Toponyms
* Deep Learning for Ultrasound Beamforming in Flexible Array Transducer
* Deep Learning for Ultrasound Localization Microscopy
* Deep Learning for Understanding Faces: Machines May Be Just as Good, or Better, than Humans
* Deep Learning for Vanishing Point Detection Using an Inverse Gnomonic Projection
* Deep Learning for Vegetation Health Forecasting: A Case Study in Kenya
* Deep Learning for Vehicle Detection in Aerial Images
* Deep Learning for Visual Content Analysis
* Deep Learning for Visual SLAM
* Deep Learning for Visual Tracking: A Comprehensive Survey
* Deep Learning for Visual Understanding
* Deep Learning for Visual Understanding: Part 2
* Deep Learning Forecasts of Soil Moisture: Convolutional Neural Network and Gated Recurrent Unit Models Coupled with Satellite-Derived MODIS, Observations and Synoptic-Scale Climate Index Data
* Deep Learning Formulation of ECGI for Data-Driven Integration of Spatiotemporal Correlations and Imaging Information
* Deep Learning Frame-Work for Recognizing Developmental Disorders, A
* Deep Learning Framework for 3D Surface Profiling of the Objects Using Digital Holographic Interferometry, A
* deep learning framework for glaucoma detection based on robust optic disc segmentation and transfer learning, A
* deep learning framework for matching of SAR and optical imagery, A
* Deep Learning Framework for Multi-class Breast Cancer Histology Image Classification
* deep learning framework for remote sensing image registration, A
* Deep Learning Framework for Road Marking Extraction, Classification and Completion from Mobile Laser Scanning Point Clouds, A
* Deep Learning Framework for Roads Network Damage Assessment Using Post-earthquake Lidar Data, A
* Deep Learning Framework for Robust and Real-Time Taillight Detection Under Various Road Conditions, A
* Deep Learning Framework for Spatiotemporal Ultrasound Localization Microscopy, A
* Deep Learning Framework of Autonomous Pilot Agent for Air Traffic Controller Training, A
* Deep learning frameworks for diabetic retinopathy detection with smartphone-based retinal imaging systems
* Deep Learning From Imaging Genetics for Schizophrenia Classification
* Deep Learning From Multiple Crowds: A Case Study of Humanitarian Mapping
* Deep Learning from Noisy Image Labels with Quality Embedding
* Deep Learning Generic Features for Cross-Media Retrieval
* Deep Learning Geometry Compression Artifacts Removal for Video-Based Point Cloud Compression
* Deep Learning Global Glomerulosclerosis in Transplant Kidney Frozen Sections
* Deep Learning Guided Partitioned Shape Model for Anterior Visual Pathway Segmentation
* Deep Learning Human Mind for Automated Visual Classification
* Deep Learning Hunts for Signals Among the Noise
* Deep Learning Identity-Preserving Face Space
* Deep Learning Image Age Approximation - What is More Relevant: Image Content or Age Information?
* Deep Learning in Archaeological Remote Sensing: Automated Qanat Detection in the Kurdistan Region of Iraq
* Deep Learning in Forestry Using UAV-Acquired RGB Data: A Practical Review
* Deep Learning in Hyperspectral Image Reconstruction from Single RGB images: A Case Study on Tomato Quality Parameters
* Deep Learning in Lane Marking Detection: A Survey
* Deep Learning in Latent Space for Video Prediction and Compression
* Deep learning in medical image registration: a survey
* Deep Learning in Neuroimaging: Promises and challenges
* Deep learning in remote sensing applications: A meta-analysis and review
* Deep Learning in Sentiment Analysis: Recent Architectures
* Deep Learning in the Domain of Multi-Document Text Summarization
* Deep Learning in the EEG Diagnosis of Alzheimer's Disease
* Deep learning in the grading of diabetic retinopathy: A review
* Deep learning in the ultrasound evaluation of neonatal respiratory status
* Deep Learning in Ultrasound Imaging
* Deep Learning Inversion of Electrical Resistivity Data by One-Sided Mapping
* Deep Learning Inversion of Electrical Resistivity Data
* Deep Learning Logo Detection with Data Expansion by Synthesising Context
* Deep Learning Loss Function Based on the Perceptual Evaluation of the Speech Quality, A
* Deep Learning Markov Random Field for Semantic Segmentation
* Deep Learning Meets Radiomics For End-To-End Brain Tumor MRI Analysis
* Deep Learning Method for Change Detection in Synthetic Aperture Radar Images, A
* Deep Learning Method for Frame Selection in Videos for Structure from Motion Pipelines, A
* Deep Learning Method for Grasping Novel Objects Using Dexterous Hands
* deep learning method for image super-resolution based on geometric similarity, A
* Deep Learning Method for Mapping Glacial Lakes from the Combined Use of Synthetic-Aperture Radar and Optical Satellite Images, A
* Deep Learning Method for Motion Artifact Correction in Intravascular Photoacoustic Image Sequence, A
* Deep Learning Method for Pavement Crack Identification Based on Limited Field Images, A
* deep learning method for video-based action recognition, A
* Deep Learning Method of Landslide Inventory Map with Imbalanced Samples in Optical Remote Sensing
* Deep Learning Method to Accelerate the Disaster Response Process, A
* Deep Learning Methodology for Early Detection and Outbreak Prediction of Invasive Species Growth
* Deep Learning Methods for Human Behavior Recognition
* Deep Learning Methods for Virus Identification from Digital Images
* Deep learning methods in transportation domain: a review
* Deep learning model based on cascaded autoencoders and one-class learning for detection and localization of anomalies from surveillance videos
* Deep Learning Model for Automatic Plastic Mapping Using Unmanned Aerial Vehicle (UAV) Data, A
* Deep Learning Model for Change Detection on Satellite Images, A
* deep learning model for mass screening of COVID-19, A
* Deep Learning Model for Skin Lesion Segmentation: Fully Convolutional Network
* Deep Learning Model for Transportation Mode Detection Based on Smartphone Sensing Data, A
* deep learning model integrating convolution neural network and multiple kernel K means clustering for segmenting brain tumor in magnetic resonance images, A
* Deep Learning Model to Extract Ship Size From Sentinel-1 SAR Images, A
* Deep Learning Model Using Satellite Ocean Color and Hydrodynamic Model to Estimate Chlorophyll-a Concentration, A
* Deep Learning Models for Passive Sonar Signal Classification of Military Data
* Deep Learning Models for Segmentation of Mobile-acquired Dermatological Images
* Deep Learning Monitoring of Woody Vegetation Density In A South African Savannah Region
* Deep Learning Multimodal Method for Precipitation Estimation, A
* deep learning network based end-to-end image composition, A
* Deep Learning Network for Blind Image Quality Assessment
* deep learning network for vision-based vacant parking space detection system, A
* Deep Learning Network Intensification for Preventing Noisy-Labeled Samples for Remote Sensing Classification
* Deep Learning Network to Retrieve Ocean Hydrographic Profiles from Combined Satellite and In Situ Measurements, A
* Deep Learning Networks for Off-Line Handwritten Signature Recognition
* Deep learning networks for selection of measurement pixels in multi-temporal SAR interferometric processing
* Deep Learning Object Detection Methods for Ecological Camera Trap Data
* Deep Learning of Appearance Models for Online Object Tracking
* Deep learning of binary hash codes for fast image retrieval
* Deep Learning of Convolutional Auto-Encoder for Image Matching and 3D Object Reconstruction in the Infrared Range
* Deep Learning of Graph Matching
* Deep Learning of High-Resolution Aerial Imagery for Coastal Marsh Change Detection: A Comparative Study
* Deep Learning of High-Resolution Unmanned Aerial Vehicle Imagery for Classifying Halophyte Species: A Comparative Study for Small Patches and Mixed Vegetation
* Deep Learning of Human Visual Sensitivity in Image Quality Assessment Framework
* Deep Learning of Image Features from Unlabeled Data for Multiple Sclerosis Lesion Segmentation
* Deep Learning of Local RGB-D Patches for 3D Object Detection and 6D Pose Estimation
* Deep learning of longitudinal mammogram examinations for breast cancer risk prediction
* Deep Learning of Mouth Shapes for Sign Language
* Deep Learning of Neuromuscular Control for Biomechanical Human Animation
* Deep Learning of Radiometrical and Geometrical SAR Distorsions for Image Modality translations
* Deep Learning of Scene-Specific Classifier for Pedestrian Detection
* Deep Learning of Sea Surface Temperature Patterns to Identify Ocean Extremes
* Deep Learning of Static and Dynamic Brain Functional Networks for Early MCI Detection
* Deep Learning of Visual and Textual Data for Region Detection Applied to Item Coding
* Deep Learning of Warping Functions for Shape Analysis
* Deep Learning on Active Sonar Data Using Bayesian Optimization for Hyperparameter Tuning
* Deep Learning on Airborne Radar Echograms for Tracing Snow Accumulation Layers of the Greenland Ice Sheet
* Deep learning on compressed sensing measurements in pneumonia detection
* Deep Learning on Lie Groups for Skeleton-Based Action Recognition
* Deep Learning on Monocular Object Pose Detection and Tracking: A Comprehensive Overview
* Deep Learning on Multiphysical Features and Hemodynamic Modeling for Abdominal Aortic Aneurysm Growth Prediction
* Deep Learning on Small Datasets without Pre-Training using Cosine Loss
* Deep Learning on Sparse Manifolds for Faster Object Segmentation
* Deep Learning on Spatial Rich Model for Steganalysis
* Deep Learning on Synthetic Data Enables the Automatic Identification of Deficient Forested Windbreaks in the Paraguayan Chaco
* Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions
* Deep Learning on Underwater Marine Object Detection: A Survey
* Deep Learning on Visual Data
* Deep Learning Paradigm for Detection of Harmful Algal Blooms, A
* Deep Learning Parametrization for B-Spline Curve Approximation
* Deep Learning Performance in the Presence of Significant Occlusions: An Intelligent Household Refrigerator Case
* Deep Learning Pipeline for Spotting Macro- and Micro-expressions in Long Video Sequences Based on Action Units and Optical Flow
* Deep learning prototype domains for person re-identification
* Deep Learning Reconstruction Framework for Differential Phase-Contrast Computed Tomography With Incomplete Data, A
* Deep Learning Segmentation and 3D Reconstruction of Road Markings Using Multiview Aerial Imagery
* Deep Learning Segmentation and Classification for Urban Village Using a Worldview Satellite Image Based on U-Net
* Deep Learning Segmentation of Optical Microscopy Images Improves 3-D Neuron Reconstruction
* Deep Learning Segmentation of Satellite Imagery Identifies Aquatic Vegetation Associated with Snail Intermediate Hosts of Schistosomiasis in Senegal, Africa
* Deep Learning Seismic Random Noise Attenuation via Improved Residual Convolutional Neural Network
* Deep Learning Semantic Segmentation-Based Approach for Field-Level Sorghum Panicle Counting, A
* Deep Learning Semantic Segmentation for Land Use and Land Cover Types Using Landsat 8 Imagery
* deep learning semantic template matching framework for remote sensing image registration, A
* Deep learning serves traffic safety analysis: A forward-looking review
* Deep Learning Shape Priors for Object Segmentation
* Deep learning solution for machine vision problem of vehicle body damage classification
* Deep Learning Spatial-spectral Processing of Hyperspectral Images for Pigment Mapping of Cultural Heritage Artifacts
* Deep Learning Speeds MRI Scans
* Deep learning strategies for foetal electrocardiogram signal synthesis
* Deep Learning Streaming Methodology for Trajectory Classification, A
* Deep Learning Strong Parts for Pedestrian Detection
* Deep learning super-resolution electron microscopy based on deep residual attention network
* Deep Learning Techniques Applied to the Cattle Brand Recognition
* Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?
* Deep Learning Techniques for COVID-19 Diagnosis and Prognosis Based on Radiological Imaging
* Deep Learning the City: Quantifying Urban Perception at a Global Scale
* Deep learning the dynamic appearance and shape of facial action units
* Deep Learning Time Series Approach for Leaf and Wood Classification from Terrestrial LiDAR Point Clouds, A
* Deep Learning to Near-Surface Humidity Retrieval from Multi-Sensor Remote Sensing Data over the China Seas
* Deep Learning Tool Kit for Medical Imaging
* Deep Learning Trained Clear-Sky Mask Algorithm for VIIRS Radiometric Bias Assessment, A
* Deep Learning Triggers a New Era in Industrial Robotics
* Deep Learning Triplet Ordinal Relation Preserving Binary Code for Remote Sensing Image Retrieval Task
* Deep Learning Under Privileged Information Using Heteroscedastic Dropout
* Deep Learning Using Bayesian Optimization for Facial Age Estimation
* Deep Learning Versus Classic Methods for Multi-taxon Diatom Segmentation
* Deep Learning Versus Traditional Solutions for Group Trajectory Outliers
* Deep Learning vs. Traditional Algorithms for Saliency Prediction of Distorted Images
* Deep Learning Whole Body Point Cloud Scans from a Single Depth Map
* Deep Learning with Adaptive Attention for Seismic Velocity Inversion
* Deep learning with geodesic moments for 3D shape classification
* Deep Learning with Hierarchical Convolutional Factor Analysis
* Deep Learning with Low Precision by Half-Wave Gaussian Quantization
* Deep Learning with Noisy Labels, Robust Deep Learning
* Deep Learning with Open Data for Desert Road Mapping
* Deep Learning with Unsupervised Data Labeling for Weed Detection in Line Crops in UAV Images
* Deep Learning with WASI Simulation Data for Estimating Chlorophyll a Concentration of Inland Water Bodies
* Deep Learning, Deep Nets, DNN
* Deep Learning, Sparse Coding, and SVM for Melanoma Recognition in Dermoscopy Images
* Deep Learning: Based Dictionary Learning and Tomographic Image Reconstruction
* Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database
* Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies
* Deep Level Sets for Salient Object Detection
* Deep LiDAR localization using optical flow sensor-map correspondences
* Deep Lidar Odometry
* Deep Light Field Super-Resolution Using Frequency Domain Analysis and Semantic Prior
* Deep Lighting Environment Map Estimation from Spherical Panoramas
* Deep Likelihood Network for Image Restoration With Multiple Degradation Levels
* Deep linear discriminant analysis on fisher networks: A hybrid architecture for person re-identification
* Deep Listwise Triplet Hashing for Fine-Grained Image Retrieval
* Deep Local and Global Spatiotemporal Feature Aggregation for Blind Video Quality Assessment
* Deep Local Feature Descriptor Learning With Dual Hard Batch Construction
* Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction
* Deep Local Video Feature for Action Recognition
* Deep Localization of Static Scans in Mobile Mapping Point Clouds
* Deep Localized Metric Learning
* Deep Long-Tailed Learning: A Survey
* Deep long short-term memory structures model temporal dependencies improving cognitive workload estimation
* Deep Loss Driven Multi-Scale Hashing Based on Pyramid Connected Network
* Deep low-rank feature learning and encoding for cross-age face recognition
* Deep Low-Rank Subspace Clustering
* Deep Lucas-Kanade Homography for Multimodal Image Alignment
* Deep Machine Learning Based Possible Atmospheric and Ionospheric Precursors of the 2021 Mw 7.1 Japan Earthquake
* Deep Magnetic Resonance Image Reconstruction: Inverse Problems Meet Neural Networks
* Deep Magnification-Flexible Upsampling Over 3D Point Clouds
* Deep Manifold-to-Manifold Transforming Network for Skeleton-Based Action Recognition
* Deep Manifold-to-Manifold Transforming Network
* Deep Manifold Alignment for Mid-Grain Sketch Based Image Retrieval
* Deep manifold clustering based optimal pseudo pose representation (DMC-OPPR) for unsupervised person re-identification
* Deep Manifold Prior
* Deep Manifold Structure Transfer for Action Recognition
* Deep MANTA: A Coarse-to-Fine Many-Task Network for Joint 2D and 3D Vehicle Analysis from Monocular Image
* Deep Marching Cubes: Learning Explicit Surface Representations
* Deep Margin-Sensitive Representation Learning for Cross-Domain Facial Expression Recognition
* Deep Markov Random Field for Image Modeling
* Deep Match Tracker: Classifying when Dissimilar, Similarity Matching when Not
* Deep Matching Network for Handwritten Chinese Character Recognition
* Deep Matching Prior Network: Toward Tighter Multi-oriented Text Detection
* Deep Matching Prior: Test-Time Optimization for Dense Correspondence
* Deep Material-Aware Cross-Spectral Stereo Matching
* Deep Matrix Factorization Method for Learning Attribute Representations, A
* Deep Matting for Cloud Detection in Remote Sensing Images
* Deep Maximum a Posterior Estimator for Video Denoising
* Deep Medical Image Computing in Preventive and Precision Medicine
* Deep Memory-Augmented Proximal Unrolling Network for Compressive Sensing
* Deep Memory Connected Neural Network for Optical Remote Sensing Image Restoration
* Deep Memory Network for Cross-Modal Retrieval
* Deep Mesh Reconstruction From Single RGB Images via Topology Modification Networks
* Deep Meta Functionals for Shape Representation
* Deep Meta Learning for Real-Time Target-Aware Visual Tracking
* Deep Meta Metric Learning
* Deep Metric Learning-Based Feature Embedding for Hyperspectral Image Classification
* Deep Metric Learning-Based Semi-Supervised Regression with Alternate Learning
* Deep Metric Learning and Image Classification with Nearest Neighbour Gaussian Kernels
* Deep Metric Learning Based on Scalable Neighborhood Components for Remote Sensing Scene Characterization
* Deep Metric Learning Beyond Binary Supervision
* Deep Metric Learning for Cross-Domain Fashion Instance Retrieval
* Deep Metric Learning for Crowdedness Regression
* Deep metric learning for few-shot image classification: A Review of recent developments
* Deep Metric Learning for Multi-Label and Multi-Object Image Retrieval
* Deep Metric Learning for Open World Semantic Segmentation
* Deep Metric Learning for Person Re-identification
* Deep Metric Learning for Visual Tracking
* Deep Metric Learning for Visual Understanding: An Overview of Recent Advances
* Deep Metric Learning to Rank
* Deep Metric Learning via Adaptive Learnable Assessment
* Deep Metric Learning via Facility Location
* Deep Metric Learning via Lifted Structured Feature Embedding
* Deep metric learning via subtype fuzzy clustering
* Deep Metric Learning With Adaptively Composite Dynamic Constraints
* Deep Metric Learning With Alternating Projections Onto Feasible Sets
* Deep Metric Learning with Angular Loss
* Deep Metric Learning with BIER: Boosting Independent Embeddings Robustly
* Deep Metric Learning With Density Adaptivity
* Deep metric learning with dynamic margin hard sampling loss for face verification
* Deep Metric Learning with Hierarchical Triplet Loss
* Deep Metric Learning With Manifold Class Variability Analysis
* Deep Metric Learning with Online Hard Mining for Hyperspectral Classification
* Deep Metric Learning with Triplet-Margin-Center Loss for Sketch Face Recognition
* Deep Metric Learning With Tuplet Margin Loss
* Deep Metric Network Via Heterogeneous Semantics for Image Sentiment Analysis
* Deep Metric Transfer for Label Propagation with Limited Annotated Data
* Deep Micro-Dictionary Learning and Coding Network
* Deep MinCut: Learning Node Embeddings by Detecting Communities
* Deep Mining External Imperfect Data for Chest X-Ray Disease Screening
* Deep Mixture of Diverse Experts for Large-Scale Visual Recognition
* Deep Mixture of Linear Inverse Regressions Applied to Head-Pose Estimation
* Deep Mixture of MRFs for Human Pose Estimation
* Deep Modality Assistance Co-Training Network for Semi-Supervised Multi-Label Semantic Decoding
* Deep Modality Invariant Adversarial Network for Shared Representation Learning
* Deep Model-Based 6D Pose Refinement in RGB
* Deep Model-Based Super-Resolution with Non-uniform Blur
* Deep Model Intellectual Property Protection via Deep Watermarking
* Deep Models for Engagement Assessment With Scarce Label Information
* Deep Modular Co-Attention Networks for Visual Question Answering
* Deep Modular Network Architecture for Depth Estimation from Single Indoor Images
* Deep momentum uncertainty hashing
* Deep Monocular Depth Estimation via Integration of Global and Local Predictions
* Deep Morphological Filter Networks For Gaussian Denoising
* Deep morphological networks
* Deep morphological simplification network (MS-Net) for guided registration of brain magnetic resonance images
* Deep motion and appearance cues for visual tracking
* Deep motion features for visual tracking
* Deep Motion Model for Pedestrian Tracking in 360 Degrees Videos
* Deep Motion Prior for Weakly-Supervised Temporal Action Localization
* Deep motion templates and extreme learning machine for sign language recognition
* Deep Moving-Camera Background Model, A
* Deep Moving Poselets for Video Based Action Recognition
* Deep MR Brain Image Super-Resolution Using Spatio-Structural Priors
* Deep MR Image Super-Resolution Using Structural Priors
* Deep MR parametric imaging with the learned L+S model and attention mechanism
* Deep Multi-Branch Aggregation Network for Real-Time Semantic Segmentation in Street Scenes
* Deep Multi-Class Adversarial Specularity Removal
* Deep multi-feature learning architecture for water body segmentation from satellite images
* Deep Multi-instance Volumetric Image Classification with Extreme Value Distributions
* Deep Multi-Kernel Convolutional LSTM Networks and an Attention-Based Mechanism for Videos
* deep multi-level network for saliency prediction, A
* Deep Multi-Level Up-Projection Network for Single Image Super-Resolution
* Deep Multi-Level Wavelet-CNN Denoiser Prior for Restoring Blurred Image With Cauchy Noise
* Deep Multi-Modal CNN for Multi-Instance Multi-Label Image Classification, A
* Deep Multi-Modal Discriminative and Interpretability Network for Alzheimer's Disease Diagnosis
* Deep Multi-Modal Explanation Model for Zero-Shot Learning, A
* Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges
* Deep Multi-modal Representation Schemes for Federated 3d Human Action Recognition
* Deep Multi-modal Vehicle Detection in Aerial ISR Imagery
* Deep Multi-Modality Adversarial Networks for Unsupervised Domain Adaptation
* Deep Multi-Model Fusion for Single-Image Dehazing
* Deep Multi-patch Aggregation Network for Image Style, Aesthetics, and Quality Estimation
* Deep Multi-Patch Matching Network for Visible Thermal Person Re-Identification
* Deep multi-path convolutional neural network joint with salient region attention for facial expression recognition
* Deep multi-person kinship matching and recognition for family photos
* Deep multi-query video retrieval
* Deep multi-resolution color constancy
* Deep multi-scale and multi-modal fusion for 3D object detection
* Deep Multi-Scale Architectures for Monocular Depth Estimation
* Deep Multi-Scale Context Aware Feature Aggregation for Curved Scene Text Detection
* Deep Multi-Scale Convolutional LSTM Network for Travel Demand and Origin-Destination Predictions
* Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring
* Deep Multi-Scale Feature Learning for Defocus Blur Estimation
* Deep Multi-Scale Mesh Feature Learning for Automated Labeling of Raw Dental Surfaces From 3D Intraoral Scanners
* Deep Multi-Scale Recurrent Network for Synthetic Aperture Radar Images Despeckling
* Deep Multi-Spectral Registration Using Invariant Descriptor Learning
* Deep Multi-Stage Learning for HDR With Large Object Motions
* Deep Multi-stage Model for Automated Landmarking of Craniomaxillofacial CT Scans
* Deep Multi-task Attribute-Driven Ranking for Fine-Grained Sketch-Based Image Retrieval
* Deep multi-task learning for a geographically-regularized semantic segmentation of aerial images
* Deep Multi-task Learning for Facial Expression Recognition and Synthesis Based on Selective Feature Sharing
* Deep multi-task learning for gait-based biometrics
* Deep Multi-Task Learning for Joint Localization, Perception, and Prediction
* Deep Multi-Task Learning for Joint Prediction of Heterogeneous Face Attributes
* Deep Multi-Task Learning in Computer Vision
* Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States
* Deep multi-task learning with relational attention for business success prediction
* Deep Multi-Task Multi-Label CNN for Effective Facial Attribute Classification
* Deep Multi-View Correspondence for Identity-Aware Multi-Target Tracking
* Deep Multi-View Enhancement Hashing for Image Retrieval
* Deep Multi-View Feature Learning for Person Re-Identification
* Deep Multi-View Learning Using Neuron-Wise Correlation-Maximizing Regularizers
* Deep Multi-View Stereo Gone Wild
* Deep Multi-View Subspace Clustering With Unified and Discriminative Learning
* Deep multi-Wasserstein unsupervised domain adaptation
* Deep Multi Depth Panoramas for View Synthesis
* Deep multi query image retrieval
* Deep Multibranch Neural Network for Painting Categorization
* Deep Multicameral Decoding for Localizing Unoccluded Object Instances from a Single RGB Image
* Deep Multichannel Network Model for Driving Behavior Risk Classification, A
* Deep Multigrained Cascade Forest for Hyperspectral Image Classification
* Deep Multigraph Hierarchical Enhanced Semantic Representation for Cross-Modal Retrieval
* Deep Multimetric Learning for Shape-Based 3D Model Retrieval
* Deep Multimodal Clustering for Unsupervised Audiovisual Learning
* Deep Multimodal Distance Metric Learning Using Click Constraints for Image Ranking
* Deep Multimodal Feature Analysis for Action Recognition in RGB+D Videos
* Deep multimodal fusion for semantic image segmentation: A survey
* Deep Multimodal Fusion: A Hybrid Approach
* Deep Multimodal Learning Approach to Perceive Basic Needs of Humans From Instagram Profile, A
* Deep Multimodal Learning for Affective Analysis and Retrieval
* Deep multimodal learning for cross-modal retrieval: One model for all tasks
* Deep Multimodal Learning: A Survey on Recent Advances and Trends
* Deep Multimodal Pain Recognition: A Database and Comparison of Spatio-Temporal Visual Modalities
* Deep Multimodal Representation Learning from Temporal Data
* Deep Multimodal Sparse Representation-Based Classification
* Deep Multimodality Learning for UAV Video Aesthetic Quality Assessment
* Deep Multiphase Level Set for Scene Parsing
* Deep Multiple-Attribute-Perceived Network for Real-World Texture Recognition
* Deep Multiple Instance Convolutional Neural Networks for Learning Robust Scene Representations
* Deep Multiple Instance Hashing for Fast Multi-Object Image Search
* Deep Multiple Instance Learning-Based Spatial-Spectral Classification for PAN and MS Imagery
* Deep multiple instance learning for automatic detection of diabetic retinopathy in retinal images
* Deep multiple instance learning for image classification and auto-annotation
* Deep Multiple Instance Learning for Zero-Shot Image Tagging
* Deep Multiple Instance Learning with Spatial Attention for ROP Case Classification, Instance Selection and Abnormality Localization
* Deep Multiresolution Cellular Communities for Semantic Segmentation of Multi-Gigapixel Histology Images
* Deep Multiscale Fusion Hashing for Cross-Modal Retrieval
* Deep Multiscale Spatiotemporal Network for Assessing Depression From Facial Dynamics, A
* Deep multisensor learning for missing-modality all-weather mapping
* Deep Multitask Architecture for Integrated 2D and 3D Human Sensing
* Deep Multitask Gaze Estimation with a Constrained Landmark-Gaze Model
* Deep Multitask Learning for Railway Track Inspection
* Deep Multitask Learning Framework Coupling Semantic Segmentation and Fully Convolutional LSTM Networks for Urban Change Detection, A
* Deep Multitask Metric Learning for Offline Signature Verification
* Deep Multitask Semisupervised Learning Approach for Chlorophyll-a Retrieval from Remote Sensing Images, A
* Deep Multiview Learning for Hyperspectral Image Classification
* Deep Multiview Union Learning Network for Multisource Image Classification
* Deep mutual learning for visual object tracking
* Deep Mutual Learning
* Deep Near-light Photometric Stereo for Spatially Varying Reflectances
* Deep Near Infrared Colorization with Semantic Segmentation and Transfer Learning
* Deep neighbor-aware embedding for node clustering in attributed graphs
* Deep Nets: What have They Ever Done for Vision?
* Deep Network-Based Frame Extrapolation With Reference Frame Alignment
* Deep network-based image coding for simultaneous compression and retrieval
* Deep network aided by guiding network for pedestrian detection
* Deep Network Architecture for Super-Resolution-Aided Hyperspectral Image Classification With Classwise Loss, A
* Deep Network Architectures as Feature Extractors for Multi-Label Classification of Remote Sensing Images
* Deep network based stereoscopic image quality assessment via binocular summing and differencing
* Deep Network Cascade for Image Super-resolution
* Deep Network Flow for Multi-object Tracking
* Deep Network for Automatic Video-based Food Bite Detection, A
* Deep network for image super-resolution with a dictionary learning layer
* Deep Network Interpolation for Continuous Imagery Effect Transition
* deep network model based on subspaces: A novel approach for image classification, A
* Deep Network Pruning for Object Detection
* Deep Network Shrinkage Applied to Cross-Spectrum Face Recognition
* Deep Network Solution for Attention and Aesthetics Aware Photo Cropping, A
* Deep Network Training, Strategy, Design, Techniques
* deep network with analogous self-attention for short-term traffic flow prediction, A
* Deep networks are efficient for circular manifolds
* Deep Networks for Image-to-Image Translation with Mux and Demux Layers
* Deep Networks for Image Super-Resolution with Sparse Prior
* Deep networks for saliency detection via local estimation and global search
* Deep networks under scene-level supervision for multi-class geospatial object detection from remote sensing images
* Deep Networks with Shape Priors for Nucleus Detection
* Deep Networks with Stochastic Depth
* Deep Neural Decision Forests
* Deep Neural Framework for Continuous Sign Language Recognition by Iterative Training, A
* Deep Neural Framework to Detect Individual Advertisement (Ad) from Videos, A
* Deep Neural Image Denoising
* Deep Neural Network-Based Noisy Pixel Estimation for Breast Ultrasound Segmentation
* Deep Neural Network-Driven Feature Learning Method for Multi-view Facial Expression Recognition, A
* Deep Neural Network Approaches to Speaker and Language Recognition
* Deep Neural Network Architecture to Estimate Node Assignment Costs for the Graph Edit Distance, A
* Deep Neural Network Augmentation: Generating Faces for Affect Analysis
* Deep Neural Network Based 3D Articulatory Movement Prediction Using Both Text and Audio Inputs
* Deep neural network based hidden Markov model for offline handwritten Chinese text recognition
* Deep neural network based image annotation
* Deep Neural Network Based Sparse Measurement Matrix for Image Compressed Sensing
* Deep Neural Network Based Vehicle and Pedestrian Detection for Autonomous Driving: A Survey
* Deep Neural Network Cloud-Type Classification (DeepCTC) Model and Its Application in Evaluating PERSIANN-CCS
* Deep Neural Network Compression by In-Parallel Pruning-Quantization
* Deep Neural Network Compression for Image Inpainting
* Deep neural network compression through interpretability-based filter pruning
* Deep neural network dynamic traffic routing system for vehicles
* Deep Neural Network for Coarse-to-Fine Image Dehazing with Interleaved Residual Connections and Semi-Supervised Training, A
* deep neural network for image quality assessment, A
* Deep Neural Network for Oil Spill Semantic Segmentation in Sar Images, A
* Deep Neural Network for Real-Time Driver Drowsiness Detection, A
* Deep Neural Network for Vessel Segmentation of Scanning Laser Ophthalmoscopy Images, A
* Deep Neural Network Heuristic Hierarchization for Cooperative Intelligent Transportation Fleet Management
* deep neural network model with GCN and 3D convolutional network for short-term metro passenger flow forecasting, A
* Deep neural network oriented evolutionary parametric eye modeling
* Deep Neural Network Regression for Automated Retinal Layer Segmentation in Optical Coherence Tomography Images
* Deep Neural Network Utilizing Remote Sensing Datasets for Flood Hazard Susceptibility Mapping in Brisbane, Australia
* Deep Neural Network with Attention Model for Scene Text Recognition
* Deep Neural Network With Consistency Regularization of Multi-Output Channels for Improved Tumor Detection and Delineation
* Deep neural network with deformable convolution and side window convolution for image denoising
* Deep neural network with FGL for small dataset classification
* Deep Neural Network With Spatial Pooling (DNNSP) for 3-D Point Cloud Classification, A
* Deep Neural Network with Walsh-Hadamard Transform Layer For Ember Detection during a Wildfire
* Deep neural networks-based relevant latent representation learning for hyperspectral image classification
* Deep Neural Networks and Kernel Density Estimation for Detecting Human Activity Patterns from Geo-Tagged Images: A Case Study of Birdwatching on Flickr
* Deep neural networks are easily fooled: High confidence predictions for unrecognizable images
* Deep neural networks ensemble to detect COVID-19 from CT scans
* Deep neural networks for anatomical brain segmentation
* Deep Neural Networks for Automatic Extraction of Features In Time Series Optical Satellite Images
* Deep Neural Networks for Chronological Age Estimation From OPG Images
* Deep Neural Networks for Detecting Real Emotions Using Biofeedback and Voice
* Deep neural networks for efficient steganographic payload location
* Deep Neural Networks for Full-Reference and No-Reference Audio-Visual Quality Assessment
* Deep Neural Networks for Inverse Problems with Pseudodifferential Operators: An Application to Limited-Angle Tomography
* Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment
* Deep Neural Networks for No-Reference Video Quality Assessment
* Deep Neural Networks for Page Stream Segmentation and Classification
* Deep Neural Networks for Quantitative Damage Evaluation of Building Losses Using Aerial Oblique Images: Case Study on the Great Wall (China)
* Deep Neural Networks for Real-time Remote Fall Detection
* Deep neural networks for record counting in historical handwritten documents
* Deep Neural Networks for Road Sign Detection and Embedded Modeling Using Oblique Aerial Images
* Deep Neural Networks for Ultrasound Beamforming
* Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
* Deep Neural Networks in Fully Connected CRF for Image Labeling with Social Network Metadata
* Deep Neural Networks Motivated by Partial Differential Equations
* Deep neural networks on graph signals for brain imaging analysis
* Deep Neural Networks to Detect Weeds from Crops in Agricultural Environments in Real-Time: A Review
* Deep Neural Networks to Distinguish Between Crohn's Disease and Ulcerative Colitis
* Deep neural networks under stress
* Deep Neural Networks With Region-Based Pooling Structures for Mammographic Image Classification
* Deep Neural Networks with Transfer Learning for Forest Variable Estimation Using Sentinel-2 Imagery in Boreal Forest
* Deep Neural Networks, Deep Learning for Super Resolution
* Deep Neural Networks: A Comparison on Different Computing Platforms
* Deep Neural Network–Based Enhancement for Image and Video Streaming Systems: A Survey and Future Directions
* Deep Next-Best-View Planner for Cross-Season Visual Route Classification
* Deep noise estimation and removal for real-world noisy images
* Deep Non-Line-of-Sight Reconstruction
* Deep Non-Local Kalman Network for Video Compression Artifact Reduction
* Deep Non-Negative Matrix Factorization Architecture Based on Underlying Basis Images Learning
* Deep Non-Rigid Structure From Motion With Missing Data
* Deep Non-Rigid Structure From Motion
* Deep Nonlinear Metric Learning for 3-D Shape Retrieval
* Deep Nonnegative Dictionary Factorization for Hyperspectral Unmixing
* Deep nonsmooth nonnegative matrix factorization network with semi-supervised learning for SAR image change detection
* Deep Normal Estimation for Automatic Shading of Hand-Drawn Characters
* Deep Normalized Cross-Modal Hashing with Bi-Direction Relation Reasoning
* Deep Novel View Synthesis from Colored 3d Point Clouds
* Deep NRSfM++: Towards Unsupervised 2D-3D Lifting in the Wild
* Deep Object Co-segmentation
* Deep Object Detection of Crop Weeds: Performance of YOLOv7 on a Real Case Dataset from UAV Images
* Deep Object Detector With Attentional Spatiotemporal LSTM for Space Human-Robot Interaction
* Deep Object Ranking for Template Matching
* Deep Object Tracking With Shrinkage Loss
* Deep Objective Assessment Model Based on Spatio-Temporal Perception of 360-Degree Video for VR Sickness Prediction
* Deep Objective Image Quality Assessment
* Deep Objective Quality Assessment Driven Single Image Super-Resolution
* Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers
* Deep Occlusion Reasoning for Multi-camera Multi-target Detection
* Deep ocean bathymetric imaging with GLORI-B
* Deep Octree-based CNNs with Output-Guided Skip Connections for 3D Shape and Scene Completion
* deep one-shot network for query-based logo retrieval, A
* Deep online classification using pseudo-generative models
* Deep Online Fused Video Stabilization
* Deep Online Video Stabilization Using IMU Sensors
* Deep Online Video Stabilization With Multi-Grid Warping Transformation Learning
* Deep Open-Set Domain Adaptation for Cross-Scene Classification based on Adversarial Learning and Pareto Ranking
* Deep open-set recognition for silicon wafer production monitoring
* Deep Optical Coding Design in Computational Imaging: A data-driven framework
* Deep Optics for Monocular Depth Estimation and 3D Object Detection
* Deep Optics for Single-Shot High-Dynamic-Range Imaging
* Deep Optimization Prior for THz Model Parameter Estimation
* Deep Optimized Priors for 3D Shape Modeling and Reconstruction
* Deep or Shallow Facial Descriptors? A Case for Facial Attribute Classification and Face Retrieval
* Deep Order-Preserving Learning With Adaptive Optimal Transport Distance
* Deep Ordinal Distortion Estimation Approach for Distortion Rectification, A
* Deep Ordinal Focus Assessment for Whole Slide Images
* Deep Ordinal Hashing With Spatial Attention
* Deep Ordinal Regression Framework for No-Reference Image Quality Assessment
* Deep Ordinal Regression Network for Monocular Depth Estimation
* Deep Ordinal Regression with Label Diversity
* Deep orientation-aware functional maps: Tackling symmetry issues in Shape Matching
* Deep Outdoor Illumination Estimation
* Deep Outlier Handling for Image Deblurring
* Deep Pain: Exploiting Long Short-Term Memory Networks for Facial Expression Classification
* Deep Palette-based Color Decomposition for Image Recoloring with Aesthetic Suggestion
* Deep Pansharpening via 3D Spectral Super-Resolution Network and Discrepancy-Based Gradient Transfer
* Deep Parametric Continuous Convolutional Neural Networks
* Deep Parametric Indoor Lighting Estimation
* Deep Parametric Shape Predictions Using Distance Fields
* Deep Parametric Surfaces for 3D Outfit Reconstruction from Single View Image
* Deep Part-Based Generative Shape Model with Latent Variables
* Deep part-related feature learning for human-level biometrics
* Deep Partial Multi-View Learning
* Deep Partial Occlusion Facial Expression Recognition via Improved CNN
* Deep partial person re-identification via attention model
* Deep Partial Updating: Towards Communication Efficient Updating for On-Device Inference
* Deep Passenger State Monitoring Using Viewpoint Warping
* Deep patch-wise supervision for presentation attack detection
* Deep patch learning for weakly supervised object classification and discovery
* Deep pedestrian attribute recognition based on LSTM
* Deep Pedestrian Density Estimation for Smart City Monitoring
* Deep Pedestrian Detection Using Contextual Information and Multi-level Features
* Deep People Detection: A Comparative Study of SSD and LSTM-decoder
* Deep Perceptual Image Enhancement Network for Exposure Restoration
* Deep Perceptual Image Quality Assessment for Compression
* Deep Perceptual Mapping for Cross-Modal Face Recognition
* Deep Perceptual Mapping for Thermal to Visible Face Recogntion
* Deep Perceptual Preprocessing for Video Coding
* Deep periocular representation aiming video surveillance
* Deep Permutation Equivariant Structure from Motion
* Deep Person Generation: A Survey from the Perspective of Face, Pose, and Cloth Synthesis
* Deep Person Identification Using Spatiotemporal Facial Motion Amplification
* Deep Phenotyping Considering Tile Drainage from UAS-Based Multispectral Imagery By Convolutional Neural Networks
* Deep Photo Cropper And Enhancer
* Deep Photo Enhancer: Unpaired Learning for Image Enhancement from Photographs with GANs
* Deep Photo Relighting by Integrating Both 2D and 3D Lighting Information
* Deep Photo Scan: Semi-Supervised Learning for dealing with the real-world degradation in Smartphone Photo Scanning
* Deep Photo Style Transfer
* Deep Photometric Stereo for Non-Lambertian Surfaces
* Deep Photometric Stereo Network
* Deep Photometric Stereo Networks for Determining Surface Normal and Reflectances
* Deep Physical Model for Solar Irradiance Forecasting with Fisheye Images, A
* Deep Physics-aware Inference of Cloth Deformation for Monocular Human Performance Capture
* Deep Physiological Affect Network for the Recognition of Human Emotions
* Deep Pictorial Gaze Estimation
* Deep Pipelined Implementation of Hyperspectral Target Detection Algorithm on FPGA Using HLS, A
* Deep pixel-to-pixel network for underwater image enhancement and restoration
* Deep Pixel Probabilistic Model for Super Resolution Based on Human Visual Saliency Mechanism
* Deep Plastic Surgery: Robust and Controllable Image Editing with Human-drawn Sketches
* Deep Plug-and-Play Prior for Parallel MRI Reconstruction
* Deep Plug-And-Play Super-Resolution for Arbitrary Blur Kernels
* Deep point-to-subspace metric learning for sketch-based 3D shape retrieval
* Deep point embedding for urban classification using ALS point clouds: A new perspective from local to global
* Deep Point Set Resampling via Gradient Fields
* Deep Poisoning: Towards Robust Image Data Sharing against Visual Disclosure
* Deep Polarization Cues for Transparent Object Segmentation
* Deep Polarization Imaging for 3D Shape and SVBRDF Acquisition
* Deep Polynomial Neural Networks
* Deep Portrait Delighting
* Deep Portrait Image Completion and Extrapolation
* Deep pose consensus networks
* Deep Position-Aware Hashing for Semantic Continuous Image Retrieval
* Deep Position-Sensitive Tracking
* Deep Positional and Relational Feature Learning for Rotation-invariant Point Cloud Analysis
* Deep Posterior Distribution-Based Embedding for Hyperspectral Image Super-Resolution
* Deep Predictive Motion Tracking in Magnetic Resonance Imaging: Application to Fetal Imaging
* Deep Preset: Blending and Retouching Photos with Color Style Transfer
* Deep Primal-Dual Network for Guided Depth Super-Resolution, A
* Deep Priors Inside an Unrolled and Adaptive Deconvolution Model
* Deep probabilistic human pose estimation
* Deep probabilities for age estimation
* Deep Progressive Convolutional Neural Network for Blind Super-Resolution With Multiple Degradations
* Deep Progressive Fusion Stereo Network
* Deep Progressive Hashing for Image Retrieval
* Deep Progressive Reinforcement Learning for Skeleton-Based Action Recognition
* Deep Projective 3D Semantic Segmentation
* Deep Proximal Unrolling: Algorithmic Framework, Convergence Analysis and Applications
* Deep Pyramidal Pooling With Attention for Person Re-Identification
* Deep Pyramidal Residual Networks for Spectral-Spatial Hyperspectral Image Classification
* Deep Pyramidal Residual Networks
* Deep Q-CapsNet Reinforcement Learning Framework for Intrauterine Cavity Segmentation in TTTS Fetal Surgery Planning
* Deep Q-learning for Active Recognition of GERMS: Baseline performance on a standardized dataset for active learning
* Deep Q-network implementation for simulated autonomous vehicle control
* Deep Q Learning Driven CT Pancreas Segmentation With Geometry-Aware U-Net
* Deep Quadruplet Network for Hyperspectral Image Classification with a Small Number of Samples
* Deep Quality Assessment of Compressed Videos: A Subjective and Objective Study
* Deep quality assessment toward defogged aerial images
* Deep quantised portrait matting
* Deep quantization generative networks
* Deep Quantization: Encoding Convolutional Activations with Deep Generative Model
* Deep Quantum Networks for Classification
* Deep Quaternion Pose Proposals for 6D Object Pose Tracking
* Deep Radial Embedding for Visual Sequence Learning
* Deep Radio-Visual Localization
* Deep Randomized Ensembles for Metric Learning
* Deep rank hashing network for cancellable face identification
* Deep Ranking Exemplar-Based Dynamic Scene Deblurring
* Deep Ranking for Image Zero-Shot Multi-Label Classification
* Deep Ranking for Person Re-Identification via Joint Representation Learning
* Deep ranking model by large adaptive margin learning for person re-identification
* Deep ranking structural support vector machine for image tagging
* Deep Real-time Hand Detection Using CFPN on Embedded Systems
* Deep Realistic Novel View Generation for City-Scale Aerial Images
* Deep Recognition-based Character Segmentation in Handwritten Syriac Manuscripts
* Deep Recognition of Vanishing-Point-Constrained Building Planes in Urban Street Views
* Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation
* Deep Reconstruction Models for Image Set Classification
* Deep Reconstruction of Least Significant Bits for Bit-Depth Expansion
* Deep Rectangling for Image Stitching: A Learning Baseline
* Deep Recurrent-Convolutional Model for Automated Segmentation of Craniomaxillofacial CT Scans
* Deep Recurrent Electricity Theft Detection in AMI Networks with Random Tuning of Hyper-parameters
* Deep Recurrent Network for Fast and Full-Resolution Light Field Deblurring
* Deep Recurrent Neural Network for Agricultural Classification using multitemporal SAR Sentinel-1 for Camargue, France
* Deep Recurrent Neural Network for Multi-target Filtering
* Deep Recurrent Neural Networks for Hyperspectral Image Classification
* Deep Recurrent Neural Networks for Prostate Cancer Detection: Analysis of Temporal Enhanced Ultrasound
* Deep Recurrent Regression for Facial Landmark Detection
* Deep recursive and hierarchical conditional random fields for human action recognition
* Deep Recursive HDRI: Inverse Tone Mapping Using Generative Adversarial Networks
* deep recursive multi-scale feature fusion network for image super-resolution, A
* Deep RED Unfolding Network for Image Restoration
* Deep Reference Generation With Multi-Domain Hierarchical Constraints for Inter Prediction
* Deep Refinement Convolutional Networks for Human Pose Estimation
* Deep Reflectance Maps
* Deep Reflectance Volumes: Relightable Reconstructions from Multi-view Photometric Images
* Deep Region and Multi-label Learning for Facial Action Unit Detection
* Deep regional feature pooling for video matching
* Deep Regionlets for Object Detection
* Deep Regionlets: Blended Representation and Deep Learning for Generic Object Detection
* Deep Regression Architecture with Two-Stage Re-initialization for High Performance Facial Landmark Detection, A
* Deep Regression Bayesian Network and Its Applications: Probabilistic Deep Learning for Computer Vision, The
* Deep Regression by Feature Regularization for COVID-19 Severity Prediction
* Deep Regression for Imaging Solar Magnetograms using Pyramid Generative Adversarial Networks
* Deep regression for LiDAR-based localization in dense urban areas
* Deep Regression Forest with Soft-Attention for Head Pose Estimation
* Deep Regression Forests for Age Estimation
* Deep Regression on Manifolds: A 3D Rotation Case Study
* Deep Regression Tracking with Shrinkage Loss
* Deep Reinforced Attention Learning for Quality-Aware Visual Recognition
* Deep reinforcement-learning-based driving policy for autonomous road vehicles
* Deep Reinforcement Active Learning for Human-in-the-Loop Person Re-Identification
* Deep reinforcement hashing with redundancy elimination for effective image retrieval
* Deep Reinforcement Image Matching with Self-Termination
* Deep Reinforcement Learning-Based Adaptive Modulation for Underwater Acoustic Communication with Outdated Channel State Information
* Deep Reinforcement Learning-Based Image Captioning with Embedding Reward
* Deep reinforcement learning-based patch selection for illuminant estimation
* Deep Reinforcement Learning-Based Resource Management Game in Vehicular Edge Computing, A
* Deep Reinforcement Learning-Based Traffic Light Scheduling Framework for SDN-Enabled Smart Transportation System
* Deep Reinforcement Learning Approach for Airport Departure Metering Under Spatial-Temporal Airside Interactions, A
* Deep Reinforcement Learning Approach for Emergency Response Management
* Deep Reinforcement Learning Approach for V2X Managed Intersections of Connected Vehicles
* deep reinforcement learning approach to character segmentation of license plate images, A
* Deep Reinforcement Learning Approach to Multiple Streams' Joint Bitrate Allocation, A
* Deep Reinforcement Learning Approach to Traffic Signal Control With Temporal Traffic Pattern Mining, A
* Deep reinforcement learning based active safety control for distributed drive electric vehicles
* Deep reinforcement learning based conflict detection and resolution in air traffic control
* Deep Reinforcement Learning Based Freshness-Aware Path Planning for UAV-Assisted Edge Computing Networks with Device Mobility
* Deep Reinforcement Learning Based Real-Time Solution Policy for the Traveling Salesman Problem, A
* Deep reinforcement learning collision avoidance using policy gradient optimisation and Q-learning
* Deep Reinforcement Learning Designed Shinnar-Le Roux RF Pulse Using Root-Flipping: DeepRFSLR
* Deep Reinforcement Learning for Automatic Thumbnail Generation
* Deep Reinforcement Learning for Autonomous Driving by Transferring Visual Features
* Deep Reinforcement Learning for Autonomous Driving: A Survey
* Deep Reinforcement Learning for Computation and Communication Resource Allocation in Multiaccess MEC Assisted Railway IoT Networks
* Deep Reinforcement Learning for Event-Driven Multi-Agent Decision Processes
* Deep Reinforcement Learning for Exact Combinatorial Optimization: Learning to Branch
* Deep Reinforcement Learning for Image Hashing
* Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey
* Deep Reinforcement Learning for Playing 2.5D Fighting Games
* Deep Reinforcement Learning for Semisupervised Hyperspectral Band Selection
* Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem
* Deep Reinforcement Learning for the Electric Vehicle Routing Problem With Time Windows
* Deep Reinforcement Learning for Video Prediction
* Deep Reinforcement Learning for Weak Human Activity Localization
* Deep Reinforcement Learning Method For Multimodal Data Fusion in Action Recognition, A
* Deep Reinforcement Learning of Region Proposal Networks for Object Detection
* Deep Reinforcement Learning of Volume-Guided Progressive View Inpainting for 3D Point Scene Completion From a Single Depth Image
* Deep Reinforcement Learning on a Budget: 3D Control and Reasoning Without a Supercomputer
* Deep Reinforcement Learning Two-Way Transit Signal Priority Algorithm for Optimizing Headway Adherence and Speed
* Deep reinforcement learning with credit assignment for combinatorial optimization
* Deep Reinforcement Learning With Graph Representation for Vehicle Repositioning
* Deep Reinforcement Learning with Iterative Shift for Visual Tracking
* Deep Reinforcement Learning: A Brief Survey
* Deep Reinforcement Polishing Network for Video Captioning
* Deep Relation Embedding for Cross-Modal Retrieval
* Deep Relation Learning for Regression and Its Application to Brain Age Estimation
* Deep Relation Network for Hyperspectral Image Few-Shot Classification
* Deep Relation Transformer for Diagnosing Glaucoma With Optical Coherence Tomography and Visual Field Function
* Deep Relational Metric Learning
* Deep Relational Model: A Joint Probabilistic Model with a Hierarchical Structure for Bidirectional Estimation of Image and Labels
* Deep Relational Reasoning for the Prediction of Language Impairment and Postoperative Seizure Outcome Using Preoperative DWI Connectome Data of Children With Focal Epilepsy
* Deep Relational Reasoning Graph Network for Arbitrary Shape Text Detection
* Deep relational self-Attention networks for scene graph generation
* Deep Relative Attributes
* Deep Relative Distance Learning: Tell the Difference between Similar Vehicles
* Deep Relative Tracking
* Deep Remote Sensing Methods for Methane Detection in Overhead Hyperspectral Imagery
* Deep Reparametrization of Multi-Frame Super-Resolution and Denoising
* Deep representation design from deep kernel networks
* Deep Representation for Finger-Vein Image-Quality Assessment
* Deep Representation Learning Characterized by Inter-Class Separation for Image Clustering
* Deep Representation Learning for Human Motion Prediction and Classification
* Deep Representation Learning for Metadata Verification
* Deep Representation Learning on Long-Tailed Data: A Learnable Embedding Augmentation Perspective
* Deep Representation Learning With Part Loss for Person Re-Identification
* Deep representation of imbalanced spatio-temporal traffic flow data for traffic accident detection
* Deep representations for cross-spectral ocular biometrics
* Deep Representations to Model User Likes
* Deep residential representations: Using unsupervised learning to unlock elevation data for geo-demographic prediction
* Deep Residual 3d U-net for Joint Segmentation and Texture Classification of Nodules in Lung
* Deep Residual Attention Network for Hyperspectral Image Reconstruction
* Deep Residual Attention Network for Spectral Image Super-Resolution
* Deep Residual Autoencoder with Multiscaling for Semantic Segmentation of Land-Use Images
* Deep residual coalesced convolutional network for efficient semantic road segmentation
* Deep Residual Correction Network for Partial Domain Adaptation
* Deep residual deconvolutional networks for defocus blur detection
* Deep Residual Dual-Attention Network for Super-Resolution Reconstruction of Remote Sensing Images
* Deep Residual Flow for Out of Distribution Detection
* Deep Residual Involution Network for Hyperspectral Image Classification
* Deep Residual Learning for Image Recognition
* Deep Residual Learning in the JPEG Transform Domain
* Deep Residual Multi-scale Convolutional Network for Spatial Steganalysis, A
* Deep Residual Network for Enhancing Quality of the Decoded Intra Frames of HEVC
* Deep Residual Network with Enhanced Upscaling Module for Super-Resolution
* Deep Residual Network with Multi-Image Attention for Imputing Under Clouds in Satellite Imagery
* Deep residual network with regularised fisher framework for detection of melanoma
* Deep Residual Network with Subclass Discriminant Analysis for Crowd Behavior Recognition
* Deep Residual Networks with Common Linear Multi-Step and Advanced Numerical Schemes
* Deep residual pooling network for texture recognition
* Deep residual refining based pseudo-multi-frame network for effective single image super-resolution
* Deep Residual Split Directed Graph Convolutional Neural Networks for Action Recognition
* Deep Residual Squeeze and Excitation Network for Remote Sensing Image Super-Resolution
* Deep Residual Temporal Convolutional Networks for Skeleton-based Human Action Recognition
* Deep Restoration of Vintage Photographs From Scanned Halftone Prints
* Deep ResU-Net Convolutional Neural Networks Segmentation for Smallholder Paddy Rice Mapping Using Sentinel 1 SAR and Sentinel 2 Optical Imagery
* Deep Retinal Diseases Detection and Explainability Using OCT Images
* Deep Retinal Image Segmentation With Regularization Under Geometric Priors
* Deep Retinex Framework for Light Field Restoration under Low-light Conditions, A
* Deep Retinex Network for Single Image Dehazing
* Deep RGB-D Saliency Detection with Depth-Sensitive Attention and Automatic Multi-Modal Fusion
* Deep RGB-D Saliency Detection Without Depth
* Deep RGB-Driven Learning Network for Unsupervised Hyperspectral Image Super-resolution
* Deep Rigid Instance Scene Flow
* Deep RL-Based Algorithm for Coordinated Charging of Electric Vehicles, A
* Deep RNN Based Prediction of Driver's Intended Movements at Intersection Using Cooperative Awareness Messages
* Deep RNN Framework for Visual Sequential Applications
* Deep Road Scene Understanding
* Deep Robust Encoder Through Locality Preserving Low-Rank Dictionary
* Deep robust multi-channel learning subspace clustering networks
* Deep robust multilevel semantic hashing for multi-label cross-modal retrieval
* Deep Robust Subjective Visual Property Prediction in Crowdsourcing
* Deep ROC Analysis and AUC as Balanced Average Accuracy, for Improved Classifier Selection, Audit and Explanation
* Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups
* Deep roto-translation scattering for object classification
* Deep Rényi entropy graph kernel
* Deep Safe Multi-view Clustering: Reducing the Risk of Clustering Performance Degradation Caused by View Increase
* Deep Saliency Hashing for Fine-Grained Retrieval
* Deep saliency map estimation of hand-crafted features
* Deep Saliency Map Generators for Multispectral Video Classification
* Deep Saliency Prior for Reducing Visual Distraction
* Deep Saliency With Channel-Wise Hierarchical Feature Responses for Traffic Sign Detection
* Deep Saliency with Encoded Low Level Distance Map and High Level Features
* Deep Salient Feature Based Anti-Noise Transfer Network for Scene Classification of Remote Sensing Imagery
* Deep Salient Object Detection by Integrating Multi-level Cues
* Deep Salient Object Detection with Contextual Information Guidance
* Deep Salient Object Detection With Dense Connections and Distraction Diagnosis
* Deep SAR-Net: Learning objects from signals
* Deep SAR Imaging and Motion Compensation
* Deep Scale-space Mining Network for Single Image Deraining
* Deep Scene Image Classification with the MFAFVNet
* Deep Scene Representation for Aerial Scene Classification, A
* Deep Sea Robotic Imaging Simulator
* Deep Second-Order Siamese Network for Pedestrian Re-identification
* Deep Secure Encoding for Face Template Protection
* Deep segmentation networks using simple multi-layered graphical models
* Deep Self-correlation Descriptor for Dense Cross-Modal Correspondence
* Deep Self-Evolution Clustering
* Deep self-guided cost aggregation for stereo matching
* Deep Self-Learning From Noisy Labels
* Deep Self-Learning Hashing for Image Retrieval
* Deep Self-Learning Network for Adaptive Pansharpening
* Deep self-paced learning for person re-identification
* Deep Self-Paced Learning for Semi-Supervised Person Re-Identification Using Multi-View Self-Paced Clustering
* Deep Self-Supervised Representation Learning for Free-Hand Sketch
* Deep Self-Taught Hashing for Image Retrieval
* Deep Self-Taught Learning for Weakly Supervised Object Localization
* Deep Semantic-Visual Alignment for zero-shot remote sensing image scene classification
* Deep Semantic Clustering by Partition Confidence Maximisation
* Deep Semantic Face Deblurring
* Deep Semantic Feature Matching
* Deep semantic image compression via cooperative network pruning
* Deep Semantic Instance Segmentation of Tree-Like Structures Using Synthetic Data
* Deep Semantic Manipulation of Facial Videos
* Deep Semantic Matching with Foreground Detection and Cycle-Consistency
* Deep Semantic Parsing of Freehand Sketches With Homogeneous Transformation, Soft-Weighted Loss, and Staged Learning
* Deep Semantic Pyramids for Human Attributes and Action Recognition
* Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval
* Deep Semantic Ranking Hashing Based on Self-Attention for Medical Image Retrieval
* Deep Semantic Reconstruction Hashing for Similarity Retrieval
* Deep Semantic Segmentation for the Off-road Autonomous Driving
* Deep Semantic Segmentation of Center Pivot Irrigation Systems from Remotely Sensed Data
* Deep Semantic Segmentation Using NIR as Extra Physical Information
* Deep Semantic Statistics Matching (D2SM) Denoising Network
* Deep semi-supervised learning for DTI prediction using large datasets and H2O-spark platform
* Deep Semi-Supervised Learning
* Deep Semisupervised Multiview Learning With Increasing Views
* Deep Sensor Fusion Based on Frustum Point Single Shot Multibox Detector for 3D Object Detection
* Deep sensorimotor learning for RGB-D object recognition
* deep sequence-to-sequence method for accurate long landing prediction based on flight data, A
* Deep Sequential Context Networks for Action Prediction
* Deep Sequential Segmentation of Organs in Volumetric Medical Scans
* Deep shape-aware descriptor for nonrigid 3D object retrieval
* Deep Shape-Aware Person Re-Identification for Overcoming Moderate Clothing Changes
* Deep Shape-from-Template: Single-image quasi-isometric deformable registration and reconstruction
* Deep shape constrained network for robust face alignment
* Deep Shape from a Low Number of Silhouettes
* Deep Shape from Polarization
* Deep Shape Matching
* Deep Shearlet Residual Learning Network for Single Image Super-Resolution
* Deep Sheep: kinship assignment in livestock from facial images
* Deep Shrinkage Convolutional Neural Network for Adaptive Noise Reduction
* Deep Shutter Unrolling Network
* Deep Siamese Network with Hybrid Convolutional Feature Extraction Module for Change Detection Based on Multi-sensor Remote Sensing Images, A
* Deep Siamese Networks Based Change Detection with Remote Sensing Images
* Deep Siamese Neural Networks for Facial Expression Recognition in the Wild
* Deep side group sparse coding network for image denoising
* Deep Sign: Enabling Robust Statistical Continuous Sign Language Recognition via Hybrid CNN-HMMs
* Deep Sign: Hybrid CNN-HMM for Continuous Sign Language Recognition
* Deep similarity network fusion for 3D shape classification
* Deep SimNets
* Deep Single-Image Portrait Relighting
* Deep Single Fisheye Image Camera Calibration for Over 180-degree Projection of Field of View
* Deep Single Image Camera Calibration With Radial Distortion
* Deep Single Image Deraining via Modeling Haze-Like Effect
* Deep Sinogram Completion With Image Prior for Metal Artifact Reduction in CT Images
* Deep Sketch-Based Modeling: Tips and Tricks
* Deep Sketch-Shape Hashing With Segmented 3D Stochastic Viewing
* Deep Sketch Hashing: Fast Free-Hand Sketch-Based Image Retrieval
* Deep skin detection on low resolution grayscale images
* Deep Sky Modeling for Single Image Outdoor Lighting Estimation
* Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images
* Deep Slow Motion Video Reconstruction With Hybrid Imaging System
* Deep Smoke Removal from Minimally Invasive Surgery Videos
* Deep Smoothed Projected Landweber Network for Block-Based Image Compressive Sensing
* Deep Snake for Real-Time Instance Segmentation
* Deep Snapshot HDR Imaging Using Multi-exposure Color Filter Array
* Deep Snapshot HDR Reconstruction Based on the Polarization Camera
* Deep snippet selective network for weakly supervised temporal action localization
* Deep social force network for anomaly event detection
* deep source-context feature for lexical selection in statistical machine translation, A
* Deep Space-time Video Upsampling Networks
* Deep Space Probing for Point Cloud Analysis
* Deep Sparse-coded Network (DSN)
* Deep Sparse Coding for Invariant Multimodal Halle Berry Neurons
* Deep sparse feature selection for computer aided endoscopy diagnosis
* Deep Sparse Representation-Based Classification
* Deep Sparse Representation Based Image Restoration With Denoising Prior
* Deep Sparse Representation Classifier for facial recognition and detection system
* Deep sparse representation for robust image registration
* Deep Spatial-angular Regularization for Compressive Light Field Reconstruction over Coded Apertures
* Deep Spatial-Angular Regularization for Light Field Imaging, Denoising, and Super-Resolution
* Deep Spatial-Semantic Attention for Fine-Grained Sketch-Based Image Retrieval
* Deep Spatial-Spectral Subspace Clustering for Hyperspectral Image
* Deep Spatial-Spectral Subspace Clustering for Hyperspectral Images Based on Contrastive Learning
* Deep Spatial-Temporal 3D Convolutional Neural Networks for Traffic Data Forecasting
* Deep spatial-temporal feature fusion for facial expression recognition in static images
* Deep Spatial-Temporal Feature Fusion From Adaptive Dynamic Functional Connectivity for MCI Identification
* Deep Spatial-Temporal Fusion Network for Video-Based Person Re-identification
* Deep Spatial and Temporal Network for Robust Visual Object Tracking
* Deep spatial attention hashing network for image retrieval
* Deep Spatial Contextual Long-Term Recurrent Convolutional Network for Saliency Detection, A
* Deep Spatial Feature Reconstruction for Partial Person Re-identification: Alignment-free Approach
* Deep Spatial Gradient and Temporal Depth Learning for Face Anti-Spoofing
* Deep Spatial Pyramid Ensemble for Cultural Event Recognition
* Deep spatial pyramid for person re-identification
* Deep Spatial Transformation for Pose-Guided Person Image Generation and Animation
* deep spatial/spectral descriptor of hyperspectral texture using scattering transform, A
* Deep Spatiality: Unsupervised Learning of Spatially-Enhanced Global and Local 3D Features by Deep Neural Network With Coupled Softmax
* Deep spatio-spectral Bayesian posterior for hyperspectral image non-i.i.d. noise removal
* Deep spatio-temporal feature fusion with compact bilinear pooling for multimodal emotion recognition
* Deep Spatio-Temporal Features for Multimodal Emotion Recognition
* Deep Spatio-Temporal Random Fields for Efficient Video Segmentation
* Deep Spatio-Temporal Representation for Detection of Road Accidents Using Stacked Autoencoder
* Deep Spatiotemporal Perspective for Understanding Crowd Behavior, A
* Deep Spatiotemporal Representation of the Face for Automatic Pain Intensity Estimation
* Deep Speaker Embedding Using Hybrid Network of Multi-Feature Aggregation and Multi-Loss Fusion for TI-SV
* Deep Specialized Network for Illuminant Estimation
* Deep Spectral-Based Shape Features for Alzheimer's Disease Classification
* Deep Spectral-spatial Features of Snapshot Hyperspectral Images for Red-meat Classification
* Deep Spectral-Spatial Network for Single Image Deblurring
* Deep Spectral Clustering Using Dual Autoencoder Network
* Deep Spectral Convolution Network for Hyperspectral Unmixing
* Deep spectral feature pyramid in the frequency domain for long-term action recognition
* Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization
* Deep spectral reflectance and illuminant estimation from self-interreflections
* Deep Spectral Representation Learning From Multi-View Data
* Deep Spectral Spatial Inverted Residual Network for Hyperspectral Image Classification
* Deep spectral unmixing framework via 3D denoising convolutional autoencoder
* Deep Spherical Manifold Gaussian Kernel for Unsupervised Domain Adaptation
* Deep Spherical Quantization for Image Search
* Deep Spiking Neural Network: Energy Efficiency Through Time Based Coding
* Deep SR-HDR: Joint Learning of Super-Resolution and High Dynamic Range Imaging for Dynamic Scenes
* Deep SR-ITM: Joint Learning of Super-Resolution and Inverse Tone-Mapping for 4K UHD HDR Applications
* Deep Stable Learning for Out-Of-Distribution Generalization
* Deep Stacked Hierarchical Multi-Patch Network for Image Deblurring
* Deep State-Space Model for Noise Tolerant Skeleton-Based Action Recognition
* Deep Step Pattern Representation for Multimodal Retinal Image Registration, A
* Deep stereo confidence prediction for depth estimation
* Deep Stereo Fusion: Combining Multiple Disparity Hypotheses with Deep-Learning
* Deep Stereo Image Compression via Bi-directional Coding
* Deep Stereo Matching With Hysteresis Attention and Supervised Cost Volume Construction
* Deep Stereo Using Adaptive Thin Volume Representation With Uncertainty Awareness
* Deep Stereo: Learning to Predict New Views from the World's Imagery
* Deep Stereoscopic Image Super-Resolution via Interaction Module
* Deep Structural Causal Shape Models
* Deep structural information fusion for 3D object detection on LiDAR-camera system
* Deep Structure-Revealed Network for Texture Recognition
* Deep Structure Inference Network for Facial Action Unit Recognition
* Deep structured-output regression learning for computational color constancy
* Deep Structured Energy-Based Image Inpainting
* Deep Structured Instance Graph for Distilling Object Detectors
* Deep Structured Learning for Facial Action Unit Intensity Estimation
* Deep structured learning for mass segmentation from mammograms
* Deep Structured Model with Radius-Margin Bound for 3D Human Activity Recognition, A
* Deep Structured Models For Group Activity Recognition
* Deep Structured Scene Parsing by Learning with Image Descriptions
* Deep Sub-Region Network for Salient Object Detection
* Deep Subclass Linear Discriminant Analysis For Multimodal Feature Space Learning
* Deep Subpixel Mapping Based on Semantic Information Modulated Network for Urban Land Use Mapping
* Deep subspace learning for expression recognition driven by a two-phase representation classifier
* Deep Sum-Product Architecture for Robust Facial Attributes Analysis, A
* Deep super-class learning for long-tail distributed image classification
* Deep Super Resolution for Recovering Physiological Information from Videos
* Deep Superpixel Convolutional Network for Image Recognition
* Deep Superpixel Cut for Unsupervised Image Segmentation
* Deep Supervised and Contractive Neural Network for SAR Image Classification
* Deep Supervised Cross-Modal Retrieval
* Deep Supervised Dual Cycle Adversarial Network for Cross-Modal Retrieval
* Deep supervised feature selection for social relationship recognition
* Deep Supervised Hashing for Fast Image Retrieval
* Deep supervised hashing network with integrated regularisation
* Deep supervised hashing using quadratic spherical mutual information for efficient image retrieval
* Deep supervised hashing using symmetric relative entropy
* Deep Supervised Hashing With Anchor Graph
* Deep Supervised Hashing with Information Loss
* Deep Supervised Hashing with Spherical Embedding
* Deep Supervised Hashing with Triplet Labels
* Deep Supervision with Intermediate Concepts
* Deep Supervision with Shape Concepts for Occlusion-Aware 3D Object Parsing
* Deep support vector machine for hyperspectral image classification
* Deep Surface Normal Estimation on the 2-sphere with Confidence Guided Semantic Attention
* Deep Surface Normal Estimation With Hierarchical RGB-D Fusion
* Deep Surface Reconstruction from Point Clouds with Visibility Information
* Deep survival analysis with longitudinal X-rays for COVID-19
* Deep SVBRDF Estimation on Real Materials
* Deep Symmetric Adaptation Network for Cross-Modality Medical Image Segmentation
* Deep Symmetric Network for Underexposed Image Enhancement with Recurrent Attentional Learning
* deep symmetry convnet for stroke lesion segmentation, A
* Deep Tattoo Recognition
* Deep TEC: Deep Transfer Learning with Ensemble Classifier for Road Extraction from UAV Imagery
* Deep Template-based Object Instance Detection
* Deep Template-Based Watermarking
* Deep Temporal Analysis for Non-Acted Body Affect Recognition
* Deep Temporal Color Constancy for AC Light Sources
* Deep Temporal Feature Encoding for Action Recognition
* Deep Temporal Fusion Framework for Scene Flow Using a Learnable Motion Model and Occlusions, A
* Deep Temporal Iterative Clustering for Satellite Image Time Series Land Cover Analysis
* Deep Temporal Linear Encoding Networks
* Deep Temporal Multimodal Fusion for Medical Procedure Monitoring Using Wearable Sensors
* Deep TEN: Texture Encoding Network
* Deep Tensor ADMM-Net for Snapshot Compressive Imaging
* Deep TextSpotter: An End-to-End Trainable Scene Text Localization and Recognition Framework
* Deep Texture-Aware Features for Camouflaged Object Detection
* Deep Texture and Structure Aware Filtering Network for Image Smoothing
* Deep Texture Exemplar Extraction Based on Trimmed T-CNN
* Deep Texture Manifold for Ground Terrain Recognition
* Deep Texture Recognition via Exploiting Cross-Layer Statistical Self-Similarity
* Deep Tiling: Texture Tile Synthesis Using a Constant Space Deep Learning Approach
* Deep Time Series Forecasting With Shape and Temporal Criteria
* Deep Tomographic Image Reconstruction: Yesterday, Today, and Tomorrow: Editorial for the 2nd Special Issue Machine Learning for Image Reconstruction
* Deep Tone Mapping Operator for High Dynamic Range Images
* Deep Top-k Ranking for Image-Sentence Matching
* Deep Top-rank Counter Metric for Person Re-identification
* Deep Topic Modeling by Multilayer Bootstrap Network and Lasso
* Deep Total Variation Support Vector Networks
* Deep tracking using double-correlation filters by membership weighted decision
* Deep tracking with objectness
* Deep Trajectory Post-Processing and Position Projection for Single & Multiple Camera Multiple Object Tracking
* Deep trajectory representation-based clustering for motion pattern extraction in videos
* Deep transductive network for generalized zero shot learning
* Deep Transfer Feature Based Convolutional Neural Forests for Head Pose Estimation
* Deep Transfer Hashing for Image Retrieval
* Deep transfer learning based classification model for covid-19 using chest CT-scans
* Deep transfer learning based hepatitis B virus diagnosis using spectroscopic images
* Deep Transfer Learning for Alzheimer's disease detection
* Deep Transfer Learning for Art Classification Problems
* Deep Transfer Learning for Few-Shot SAR Image Classification
* Deep Transfer Learning for Multiple Class Novelty Detection
* Deep Transfer Learning For Plant Center Localization
* Deep Transfer Learning for Vulnerable Road Users Detection using Smartphone Sensors Data
* Deep Transfer Learning Framework for Seismic Data Analysis: A Case Study on Bright Spot Detection, A
* Deep Transfer Learning Models for Tomato Disease Detection
* Deep transfer learning of global spectra for local soil carbon monitoring
* Deep Transfer Learning Toponym Extraction and Geospatial Clustering Framework for Investigating Scenic Spots as Cognitive Regions, A
* Deep transfer metric learning
* Deep transfer network for face recognition using 3D synthesized face
* Deep transfer network for rotating machine fault analysis
* Deep Transfer Network with 3D Morphable Models for Face Recognition
* Deep Transferring Quantization
* Deep transformation learning for face recognition in the unconstrained scene
* Deep transformation models: Tackling complex regression problems with neural network based transformation models
* deep translation (GAN) based change detection network for optical and SAR remote sensing images, A
* Deep Transport Network for Unsupervised Video Object Segmentation
* Deep tree-ensembles for multi-output prediction
* Deep tree-structured face: A unified representation for multi-task facial biometrics
* Deep Tree Learning for Zero-Shot Face Anti-Spoofing
* Deep tree neural network for multiple-time-step prediction of short-term speed and confidence estimation
* Deep Trident Decomposition Network for Single License Plate Image Glare Removal
* Deep Triplet Complex-Valued Network for PolSAR Image Classification
* Deep Two-Stream Video Inference for Human Body Pose and Shape Estimation
* Deep Two-View Structure-from-Motion Revisited
* Deep U-Net Regression and Hand-Crafted Feature Fusion for Accurate Blood Vessel Segmentation
* Deep Unbiased Embedding Transfer for Zero-Shot Learning
* Deep Understanding of Urban Dynamics from Imprint Urban Toponymic Data Using a Spatial-Temporal-Semantic Analysis Approach
* Deep Understanding Shopper Behaviours and Interactions in Intelligent Retail Environments
* Deep Underwater Image Restoration and Beyond
* Deep Unfolded Gridless DOA Estimation Networks Based on Atomic Norm Minimization
* Deep Unfolded Prior-Aided RPCA Network for Cloud Removal, A
* Deep Unfolded Robust PCA With Application to Clutter Suppression in Ultrasound
* Deep Unfolding for Topic Models
* Deep Unfolding Network for Image Super-Resolution
* Deep Unfolding of Image Denoising by Quantum Interactive Patches
* Deep Universal Blind Image Denoising
* Deep Universal Generative Adversarial Compression Artifact Removal
* Deep Unlearning via Randomized Conditionally Independent Hessians
* Deep Unrolled Low-Rank Tensor Completion for High Dynamic Range Imaging
* Deep Unrolled Network for Video Super-Resolution
* Deep Unrolled Recovery in Sparse Biological Imaging: Achieving fast, accurate results
* Deep Unrolling of Diffusion Process with Morphological Laplacian and its Implementation with SIMD Instructions
* Deep Unsupervised 3D Human Body Reconstruction from a Sparse set of Landmarks
* Deep Unsupervised Active Learning via Matrix Sketching
* Deep Unsupervised Anomaly Detection
* Deep Unsupervised Binary Descriptor Learning Through Locality Consistency and Self Distinctiveness
* Deep Unsupervised Domain Adaptation for Face Recognition
* Deep Unsupervised Embedding for Remotely Sensed Images Based on Spatially Augmented Momentum Contrast
* Deep Unsupervised Image Anomaly Detection: An Information Theoretic Framework
* Deep Unsupervised Learning Approach for Airspace Complexity Evaluation, A
* Deep Unsupervised Learning for Image Super-Resolution with Generative Adversarial Network
* Deep Unsupervised Learning for Simultaneous Visual Odometry and Depth Estimation
* Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering
* Deep unsupervised learning of visual similarities
* Deep unsupervised learning with consistent inference of latent representations
* Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective
* Deep Unsupervised Self-Evolutionary Hashing for Image Retrieval
* Deep Unsupervised Similarity Learning Using Partially Ordered Sets
* Deep Upright Adjustment of 360 Panoramas Using Multiple Roll Estimations
* Deep vanishing point detection: Geometric priors make dataset variations vanish
* Deep variance network: An iterative, improved CNN framework for unbalanced training datasets
* Deep Variation-Structured Reinforcement Learning for Visual Relationship and Attribute Detection
* Deep Variation Transformation Network for Foreground Detection
* Deep Variational and Structural Hashing
* Deep Variational Metric Learning
* Deep Variational Model for Image Segmentation, A
* Deep Vector Quantization Clustering Method for Polarimetric SAR Images, A
* Deep Vectorization of Technical Drawings
* Deep Vesselness Measure from Scale-Space Analysis of Hessian Matrix Eigenvalues
* Deep video-to-video transformations for accessibility with an application to photosensitivity
* Deep Video Code for Efficient Face Video Retrieval
* Deep Video Compression for Interframe Coding
* Deep Video Deblurring for Hand-Held Cameras
* Deep Video Deblurring Using Sharpness Features From Exemplars
* Deep Video Deblurring: The Devil is in the Details
* Deep Video Dehazing With Semantic Segmentation
* Deep Video Generation, Prediction and Completion of Human Action Sequences
* Deep Video Hashing
* Deep Video Inpainting
* Deep Video Matting via Spatio-Temporal Alignment and Aggregation
* Deep Video Precoding
* Deep Video Prediction Through Sparse Motion Regularization
* Deep Video Prior for Video Consistency and Propagation
* Deep Video Quality Assessor: From Spatio-Temporal Visual Sensitivity to a Convolutional Neural Aggregation Network
* Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation
* Deep Video Super-Resolution Using HR Optical Flow Estimation
* Deep Video Understanding Dataset
* Deep View Morphing
* Deep View Synthesis via Self-Consistent Generative Network
* Deep view synthesis with compact and adaptive Multiplane Images
* Deep Virtual Markers for Articulated 3D Shapes
* Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks
* Deep Virtual Reality Image Quality Assessment With Human Perception Guider for Omnidirectional Image
* Deep Virtual Reference Frame Generation For Multiview Video Coding
* Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry
* Deep Vision: Deep Learning in Computer Vision
* Deep Visual-Semantic Alignments for Generating Image Descriptions
* Deep Visual-Semantic Quantization for Efficient Image Retrieval
* Deep Visual Attention Prediction
* Deep Visual Correspondence Embedding Model for Stereo Matching Costs, A
* Deep Visual Discomfort Predictor for Stereoscopic 3D Images
* Deep Visual Geo-localization Benchmark
* Deep Visual Odometry With Adaptive Memory
* Deep Visual Place Recognition for Waterborne Domains
* Deep Visual Saliency on Stereoscopic Images
* Deep Visual Teach and Repeat on Path Networks
* Deep visual tracking: Review and experimental comparison
* Deep visual unsupervised domain adaptation for classification tasks: A survey
* Deep visual words: Improved fisher vector for image classification
* Deep Volumetric Descriptor Learning for Dense Correspondence of Cone-Beam Computed Tomography via Spectral Maps
* Deep Volumetric Feature Encoding for Biomedical Images
* Deep Volumetric Video from Very Sparse Multi-View Performance Capture
* Deep Watershed Transform for Instance Segmentation
* Deep Wavelet Network for High-resolution Microscopy Hyperspectral Image Reconstruction, A
* Deep Wavelet Network with Domain Adaptation for Single Image Demoireing
* Deep Wavelet Prediction for Image Super-Resolution
* Deep Weakly Supervised Domain Adaptation for Pain Localization in Videos
* Deep Weighted Consensus Dense Correspondence Confidence Maps for 3d Shape Registration
* Deep White-Balance Editing
* Deep Wide-Activated Residual Network Based Joint Blocking and Color Bleeding Artifacts Reduction for 4:2:0 JPEG-Compressed Images
* Deep Zero-Shot Learning for Scene Sketch
* Deep Zoom tool for advanced interactivity with high-resolution images
* Deep&Dense Convolutional Neural Network for Hyperspectral Image Classification
* Deep, dense and accurate 3D face correspondence for generating population specific deformable models
* Deep, Landmark-Free FAME: Face Alignment, Modeling, and Expression Estimation
* Deep, Robust and Single Shot 3D Multi-Person Human Pose Estimation from Monocular Images
* Deep/Transfer Learning with Feature Space Ensemble Networks (FeatSpaceEnsNets) and Average Ensemble Networks (AvgEnsNets) for Change Detection Using DInSAR Sentinel-1 and Optical Sentinel-2 Satellite Data Fusion
* Deep0Tag: Deep Multiple Instance Learning for Zero-Shot Image Tagging
* Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep Convolutional Neural Networks
* Deep3DSaliency: Deep Stereoscopic Video Saliency Detection Model by 3D Convolutional Networks
* Deep3DSCan: Deep residual network and morphological descriptor based framework for lung cancer classification and 3D segmentation
* Deep3dsketch+: Rapid 3d Modeling from Single Free-hand Sketches
* DeepACEv2: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks
* DeepACG: Co-Saliency Detection via Semantic-aware Contrast Gromov-Wasserstein Distance
* DeepACO: A Robust Deep Learning-based Automatic Checkout System
* DeepActsNet: A deep ensemble framework combining features from face, hands, and body for action recognition
* DeepAge: Deep Learning of face-based age estimation
* Deepagent: An Algorithm Integration Approach for Person Re-Identification
* DeepAMD: Detect Early Age-Related Macular Degeneration by Applying Deep Learning in a Multiple Instance Learning Framework
* Deeparuco: Marker Detection and Classification in Challenging Lighting Conditions
* DeepBag: Recognizing Handbag Models
* DeepBBS: Deep Best Buddies for Point Cloud Registration
* DeepBE: Learning Deep Binary Encoding for Multi-label Classification
* DeepBees - Building and Scaling Convolutional Neuronal Nets For Fast and Large-Scale Visual Monitoring of Bee Hives
* DeepBEV: A Conditional Adversarial Network for Bird's Eye View Generation
* DeepBox: Learning Objectness with Convolutional Networks
* DeepBranch: Deep Neural Networks for Branch Point Detection in Biomedical Images
* DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction
* Deepcabac: Plug Play Compression of Neural Network Weights and Weight Updates
* DeepCAD: A Deep Generative Network for Computer-Aided Design Models
* DeepCADRME: A deep neural model for complex adverse drug reaction mentions extraction
* DeepCAMP: Deep Convolutional Action Attribute Mid-Level Patterns
* DeepCap: Monocular Human Performance Capture Using Weak Supervision
* DeepCaps: Going Deeper With Capsule Networks
* DeepCar 5.0: Vehicle Make and Model Recognition Under Challenging Conditions
* DeepCD: Learning Deep Complementary Descriptors for Patch Representations
* DeepCFL: Deep Contextual Features Learning from a Single Image
* DeepChestNet: Artificial intelligence approach for COVID-19 detection on computed tomography images
* DeepCloth: Neural Garment Representation for Shape and Style Editing
* DeepCloud: Ground-Based Cloud Image Categorization Using Deep Convolutional Features
* DeepCO3: Deep Instance Co-Segmentation by Co-Peak Search and Co-Saliency Detection
* DeepCoder: A deep neural network based video compression
* DeepCoder: Semi-Parametric Variational Autoencoders for Automatic Facial Action Coding
* DeepCog: A Trustworthy Deep Learning-Based Human Cognitive Privacy Framework in Industrial Policing
* DeepContext: Context-Encoding Neural Pathways for 3D Holistic Scene Understanding
* DeepContour: A deep convolutional feature learned by positive-sharing loss for contour detection
* DeepCorrect: Correcting DNN Models Against Image Distortions
* DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection
* DeepCSR: A 3D Deep Learning Approach for Cortical Surface Reconstruction
* DeepCT: A novel deep complex-valued network with learnable transform for video saliency prediction
* DeepCurrents: Learning Implicit Representations of Shapes with Boundaries
* DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation
* DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks
* DeepDance: Music-to-Dance Motion Choreography With Adversarial Learning
* DeepDarts: Modeling Keypoints as Objects for Automatic Scorekeeping in Darts using a Single Camera
* DeepDBSCAN: Deep Density-Based Clustering for Geo-Tagged Photos
* DeepDeform: Learning Non-Rigid RGB-D Reconstruction With Semi-Supervised Data
* DeepDemosaicking: Adaptive Image Demosaicking via Multiple Deep Fully Convolutional Networks
* DeepDetect: A Cascaded Region-Based Densely Connected Network for Seismic Event Detection
* DeepDiary: Automatically Captioning Lifelogging Image Streams
* Deepdiary: Lifelogging image captioning and summarization
* DeepDNet: Deep Dense Network for Depth Completion Task
* Deepdocclassifier: Document classification with deep Convolutional Neural Network
* DeepDPM: Deep Clustering With an Unknown Number of Clusters
* DeepDraper: Fast and Accurate 3D Garment Draping over a 3D Human Body
* DeepDriver: Automated System For measuring Valence and Arousal in Car Driver Videos
* DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving
* DeepDSAIR: Deep 6-DOF camera relocalization using deblurred semantic-aware image representation for large-scale outdoor environments
* DeepEdge: A multi-scale bifurcated deep network for top-down contour detection
* DeepEIT: Deep Image Prior Enabled Electrical Impedance Tomography
* DeepEMD: Differentiable Earth Mover's Distance for Few-Shot Learning
* DeepEMD: Few-Shot Image Classification With Differentiable Earth Mover's Distance and Structured Classifiers
* DeepEmo: Real-world facial expression analysis via deep learning
* Deeper and wider fully convolutional network coupled with conditional random fields for scene labeling
* Deeper and Wider Siamese Networks for Real-Time Visual Tracking
* Deeper cascaded peak-piloted network for weak expression recognition
* Deeper Depth Prediction with Fully Convolutional Residual Networks
* Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic Information, A
* Deeper Look at 3D Shape Classifiers, A
* Deeper Look at Dataset Bias, A
* Deeper Look at Facial Expression Dataset Bias, A
* Deeper Look at Image Salient Object Detection: Bi-Stream Network With a Small Training Dataset
* Deeper Look at Power Normalizations, A
* Deeper Look at Saliency: Feature Contrast, Semantics, and Beyond, A
* Deeper Look into Aleatoric and Epistemic Uncertainty Disentanglement, A
* Deeper Look into DeepCap, A
* Deeper, Broader and Artier Domain Generalization
* DeepErase: Weakly Supervised Ink Artifact Removal in Document Text Images
* DeeperCut: A Deeper, Stronger, and Faster Multi-person Pose Estimation Model
* DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection
* DeepFacade: A Deep Learning Approach to Facade Parsing With Symmetric Loss
* DeepFace-EMD: Re-ranking Using Patch-wise Earth Mover's Distance Improves Out-Of-Distribution Face Identification
* DeepFace: Closing the Gap to Human-Level Performance in Face Verification
* DeepFaceFlow: In-the-Wild Dense 3D Facial Motion Estimation
* Deepfacelab: Integrated, flexible and extensible face-swapping framework
* DeepFake Detection Based on Discrepancies Between Faces and Their Context
* DeepFake Detection by Analyzing Convolutional Traces
* DeepFake Disrupter: The Detector of DeepFake Is My Friend
* Deepfake Fingerprint Detection Model Intellectual Property Protection via Ridge Texture Enhancement
* Deepfake Forensics via an Adversarial Game
* DeepFake MNIST+: A DeepFake Facial Animation Dataset
* Deepfake Style Transfer Mixture: A First Forensic Ballistics Study on Synthetic Images
* Deepfake Video Detection through Optical Flow Based CNN
* Deepfake Video Detection Using 3D-Attentional Inception Convolutional Neural Network
* Deepfake Video Detection Using Audio-visual Consistency
* Deepfakes Detection with Automatic Face Weighting
* Deepfakes Evolution: Analysis of Facial Regions and Fake Detection Performance
* DeepFakes Have No Heart: A Simple rPPG-Based Method to Reveal Fake Videos
* Deepfakes, Face Synthesis, Fake News, Generation, Detection
* DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations
* DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images
* DeepFH segmentations for superpixel-based object proposal refinement
* DeepFirearm: Learning Discriminative Feature Representation for Fine-Grained Firearm Retrieval
* Deepfit: 3d Surface Fitting via Neural Network Weighted Least Squares
* DeepFix: A Fully Convolutional Neural Network for Predicting Human Eye Fixations
* DeepFLASH: An Efficient Network for Learning-Based Medical Image Registration
* DeepFlash: Turning a flash selfie into a studio portrait
* DeepFlow: Large Displacement Optical Flow with Deep Matching
* DeepFlux for Skeleton Detection in the Wild
* DeepFlux for Skeletons in the Wild
* DeepFM-based Taxi Pick-up Area Recommendation
* DEEPFOCAL: A method for direct focal length estimation
* DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks
* DeepForest: Novel Deep Learning Models for Land Use and Land Cover Classification Using Multi-Temporal and -Modal Sentinel Data of the Amazon Basin
* DeepFoveaNet: Deep Fovea Eagle-Eye Bioinspired Model to Detect Moving Objects
* DeepFuse: A Deep Unsupervised Approach for Exposure Fusion with Extreme Exposure Image Pairs
* DeepFuse: An IMU-Aware Network for Real-Time 3D Human Pose Estimation from Multi-View Image
* DeepFuseNet of Omnidirectional Far-Infrared and Visual Stream for Vegetation Detection
* DeepFuseOSV: online signature verification using hybrid feature fusion and depthwise separable convolution neural network architecture
* Deepfusion: Deep Ensembles for Domain Independent System Fusion
* DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection
* DeepGAL: Intelligent Vehicle Control for Traffic Congestion Alleviation at Intersections
* DeepGaze IIE: Calibrated prediction in and out-of-domain for state-of-the-art saliency modeling
* DeepGCNs: Can GCNs Go As Deep As CNNs?
* DeepGCNs: Making GCNs Go as Deep as CNNs
* DeepGender: Occlusion and Low Resolution Robust Facial Gender Classification via Progressively Trained Convolutional Neural Networks with Attention
* Deepgender: real-time gender classification using deep learning for smartphones
* DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images
* DeepGlobe: A Challenge for Parsing the Earth through Satellite Images
* DeepGMR: Learning Latent Gaussian Mixture Models for Registration
* DeepGrading: Deep Learning Grading of Corneal Nerve Tortuosity
* DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model
* DeepHand: Robust Hand Pose Estimation by Completing a Matrix Imputed with Deep Features
* Deephandmesh: A Weakly-supervised Deep Encoder-decoder Framework for High-fidelity Hand Mesh Modeling
* DeepHealth Toolkit: A Unified Framework to Boost Biomedical Applications, The
* DeephESC: An Automated System for Generating and Classification of Human Embryonic Stem Cells
* DeepHPS: End-to-end Estimation of 3D Hand Pose and Shape by Learning from Synthetic Depth
* DeepHS-HDRVideo: Deep High Speed High Dynamic Range Video Reconstruction
* DeepHuman: 3D Human Reconstruction From a Single Image
* DeepI2P: Image-to-Point Cloud Registration via Deep Classification
* DeepID-Net: Deformable Deep Convolutional Neural Networks for Object Detection
* DeepID-Net: Object Detection with Deformable Part Based Convolutional Neural Networks
* DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation
* DeepIM: Deep Iterative Matching for 6D Pose Estimation
* DeepImSeq: Deep image sequencing for unsynchronized cameras
* DeepIndices: Remote Sensing Indices Based on Approximation of Functions through Deep-Learning, Application to Uncalibrated Vegetation Images
* DeepInSAR: A Deep Learning Framework for SAR Interferometric Phase Restoration and Coherence Estimation
* DeepInterpolation: fusion of multiple interpolations and CNN to obtain super-resolution
* DeepIPR: Deep Neural Network Ownership Verification With Passports
* DeepIris: Learning pairwise filter bank for heterogeneous iris verification
* DeepIrisNet: Deep iris representation with applications in iris recognition and cross-sensor iris recognition
* DeepISP: Toward Learning an End-to-End Image Processing Pipeline
* DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation
* DeepJoint segmentation for the classification of severity-levels of glioma tumour using multimodal MRI images
* DeepKey: Towards End-to-End Physical Key Replication from a Single Photograph
* DeepKSPD: Learning Kernel-Matrix-Based SPD Representation For Fine-Grained Image Recognition
* DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
* DeepLabV3-Refiner-Based Semantic Segmentation Model for Dense 3D Point Clouds
* DeepLandscape: Adversarial Modeling of Landscape Videos
* DeepLanes: End-To-End Lane Position Estimation Using Deep Neural Networks
* DeepLiDAR: Deep Surface Normal Guided Depth Prediction for Outdoor Scene From Sparse LiDAR Data and Single Color Image
* DeepLight: Learning Illumination for Unconstrained Mobile Mixed Reality
* DeepLight: light source estimation for augmented reality using deep learning
* DeepLIIF: An Online Platform for Quantification of Clinical Pathology Slides
* DeepLIMa: Deep Learning Based Lesion Identification in Mammograms
* DeepList: Learning Deep Features With Adaptive Listwise Constraint for Person Reidentification
* DeepLM: Large-scale Nonlinear Least Squares on Deep Learning Frameworks using Stochastic Domain Decomposition
* DeepLogic: Joint Learning of Neural Perception and Logical Reasoning
* DeepLPF: Deep Local Parametric Filters for Image Enhancement
* DeepLTRS: A deep latent recommender system based on user ratings and reviews
* DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification
* Deeply-fused Attentive Network for Stereo Matching
* Deeply-Initialized Coarse-to-fine Ensemble of Regression Trees for Face Alignment, A
* Deeply-Learned Feature for Age Estimation
* Deeply-Learned Part-Aligned Representations for Person Re-identification
* Deeply-Recursive Convolutional Network for Image Super-Resolution
* Deeply-Supervised Knowledge Synergy
* Deeply-Supervised Networks With Threshold Loss for Cancer Detection in Automated Breast Ultrasound
* Deeply Aggregated Alternating Minimization for Image Restoration
* Deeply Associative Two-Stage Representations Learning Based on Labels Interval Extension Loss and Group Loss for Person Re-Identification
* Deeply Explain CNN Via Hierarchical Decomposition
* Deeply Exploit Depth Information for Object Detection
* Deeply fusing multi-model quality-aware features for sophisticated human activity understanding
* Deeply learned attributes for crowded scene understanding
* Deeply Learned Compositional Models for Human Pose Estimation
* Deeply learned face representations are sparse, selective, and robust
* Deeply Learned Filter Response Functions for Hyperspectral Reconstruction
* Deeply learned pore-scale facial features with a large pore-to-pore correspondences dataset
* Deeply Learned Rich Coding for Cross-Dataset Facial Age Estimation
* Deeply Learned Structure-Aware Transmission for Image Haze Removal
* Deeply Learned View-Invariant Features for Cross-View Action Recognition
* Deeply Learning Deformable Facial Action Parts Model for Dynamic Expression Analysis
* Deeply Modulated Scheme for Variable-Rate Video Compression, A
* Deeply Optimized Hough Transform: Application to Action Segmentation
* Deeply Pipelined CABAC Decoder for HEVC Supporting Level 6.2 High-Tier Applications, A
* Deeply Shape-guided Cascade for Instance Segmentation
* Deeply Supervised Attentive High-Resolution Network for Change Detection in Remote Sensing Images, A
* Deeply supervised convolutional neural network for shadow detection based on a novel aerial shadow imagery dataset
* Deeply Supervised Depth Map Super-Resolution as Novel View Synthesis
* Deeply Supervised Discriminative Learning for Adversarial Defense
* Deeply Supervised Face Completion With Multi-Context Generative Adversarial Network
* Deeply Supervised Image Fusion Network for Change Detection in High Resolution Bi-Temporal Remote Sensing Images, A
* deeply supervised maximum response texton based SegNet for simultaneous multi retinal lesion segmentation, A
* Deeply Supervised Multimodal Attentional Translation Embeddings for Visual Relationship Detection
* deeply supervised residual network for HEp-2 cell classification via cross-modal transfer learning, A
* Deeply Supervised Residual Network for HEp-2 Cell Classification
* Deeply Supervised Salient Object Detection with Short Connections
* Deeply supervised U-Net for mass segmentation in digital mammograms
* Deeply supervised vestibule segmentation network for CT images with global context-aware pyramid feature extraction
* Deeply Supervised Z-Style Residual Network Devotes to Real-Time Environment Perception for Autonomous Driving
* Deeply vulnerable: a study of the robustness of face recognition to presentation attacks
* DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds
* DeepMark: One-Shot Clothing Detection
* DeepMark++: Real-time Clothing Detection at the Edge
* DeepMatching: Hierarchical Deformable Dense Matching
* DeepMend: Learning Occupancy Functions to Represent Shape for Repair
* DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes with Biharmonic Coordinates
* DeepMIH: Deep Invertible Network for Multiple Image Hiding
* Deepmpc: A Mixture ABR Approach Via Deep Learning and MPC
* DeepMultiCap: Performance Capture of Multiple Characters Using Sparse Multiview Cameras
* DeepMVS: Learning Multi-view Stereopsis
* DeepNautilus: A Deep Learning Based System for Nautical Engines' Live Vibration Processing
* DeepNav: Learning to Navigate Large Cities
* DeepNC: Deep Generative Network Completion
* DeepObjStyle: Deep Object-based Photo Style Transfer
* DeepOIS: Gyroscope-Guided Deep Optical Image Stabilizer Compensation
* DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation
* DeepOtsu: Document enhancement and binarization using iterative deep learning
* DeepPano: Deep Panoramic Representation for 3-D Shape Recognition
* DeepPanoContext: Panoramic 3D Scene Understanding with Holistic Scene Context Graph and Relation-based Optimization
* DeepPatent: Large scale patent drawing recognition and retrieval
* DEEPPBM: Deep Probabilistic Background Model Estimation from Video Sequences
* DeepPear: Deep Pose Estimation and Action Recognition
* DeepPermNet: Visual Permutation Learning
* DeepPhaseCut: Deep Relaxation in Phase for Unsupervised Fourier Phase Retrieval
* DeepPhys: Video-Based Physiological Measurement Using Convolutional Attention Networks
* deepPIC: Deep Perceptual Image Clustering For Identifying Bias In Vision Datasets
* DeepPoint3D: Learning discriminative local descriptors using deep metric learning on 3D point clouds
* DeepPool: Distributed Model-Free Algorithm for Ride-Sharing Using Deep Reinforcement Learning
* DeepPore: Fingerprint Pore Extraction Using Deep Convolutional Neural Networks
* DEEPPOREID: An Effective Pore Representation Descriptor in Direct Pore Matching
* DeepPose: Human Pose Estimation via Deep Neural Networks
* DeepPrior++: Improving Fast and Accurate 3D Hand Pose Estimation
* DeepPrivacy2: Towards Realistic Full-Body Anonymization
* DeepPRO: Deep Partial Point Cloud Registration of Objects
* DeepProposal: Hunting Objects by Cascading Deep Convolutional Layers
* DeepProposals: Hunting Objects and Actions by Cascading Deep Convolutional Layers
* DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch
* DeepPS2: Revisiting Photometric Stereo Using Two Differently Illuminated Images
* DeepPTZ: Deep Self-Calibration for PTZ Cameras
* DeepPyNet: A Deep Feature Pyramid Network for Optical Flow Estimation
* DeepQoE: A Multimodal Learning Framework for Video Quality of Experience (QoE) Prediction
* DeepQTMT: A Deep Learning Approach for Fast QTMT-Based CU Partition of Intra-Mode VVC
* DeepRange: deep-learning-based object detection and ranging in autonomous driving
* DeepRegularizer: Rapid Resolution Enhancement of Tomographic Imaging Using Deep Learning
* DeepReID: Deep Filter Pairing Neural Network for Person Re-identification
* DeepRoadMapper: Extracting Road Topology from Aerial Images
* DeepSafeDrive: A grammar-aware driver parsing approach to Driver Behavioral Situational Awareness (DB-SAW)
* DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection
* DeepSAR: Vessel Detection in SAR Imagery with Noisy Labels
* DeepSCC: Deep Learning-Based Fast Prediction Network for Screen Content Coding
* DeepScores-A Dataset for Segmentation, Detection and Classification of Tiny Objects
* DeepScoresV2 Dataset and Benchmark for Music Object Detection, The
* DeePSD: Automatic Deep Skinning And Pose Space Deformation For 3D Garment Animation
* DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
* Deepsee: Deep Disentangled Semantic Explorative Extreme Super-resolution
* DeepSegment: Segmentation of motion capture data using deep convolutional neural network
* DeepSetNet: Predicting Sets with Deep Neural Networks
* DeepSFM: Structure from Motion via Deep Bundle Adjustment
* DeepShadow: Neural Shape from Shadow
* DeepShape: Deep-Learned Shape Descriptor for 3D Shape Retrieval
* Deepshape: Deep learned shape descriptor for 3D shape matching and retrieval
* DeepShift: Towards Multiplication-Less Neural Networks
* DeepShoe: An improved Multi-Task View-invariant CNN for street-to-shop shoe retrieval
* DeepSIR: Deep semantic iterative registration for LiDAR point clouds
* DeepSkeleton: Learning Multi-Task Scale-Associated Deep Side Outputs for Object Skeleton Extraction in Natural Images
* DeepSolarEye: Power Loss Prediction and Weakly Supervised Soiling Localization via Fully Convolutional Networks for Solar Panels
* DeepSolfège: Recognizing Solfège Hand Signs Using Convolutional Neural Networks
* DeepSpace: Mood-Based Image Texture Generation for Virtual Reality from Music
* DeepSPIO: Super Paramagnetic Iron Oxide Particle Quantification Using Deep Learning in Magnetic Resonance Imaging
* DeepSSH: Deep Semantic Structured Hashing for Explainable Person Re-Identification
* DeepSTD: Mining Spatio-Temporal Disturbances of Multiple Context Factors for Citywide Traffic Flow Prediction
* DeepStreamOS: Fast open-Set classification for convolutional neural networks
* Deepstrip: High-Resolution Boundary Refinement
* Deepstroke: Understanding Glyph Structure with Semantic Segmentation and Tabu Search
* DeepStyleCam: A Real-Time Style Transfer App on iOS
* Deepsub: A Novel Subset Selection Framework for Training Deep Learning Architectures
* DeepSuite: A Test Suite Optimizer for Autonomous Vehicles
* DeepSUM: Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images
* DeepSurfels: Learning Online Appearance Fusion
* DeepTag: A General Framework for Fiducial Marker Design and Detection
* DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance Images
* DeepTAM: Deep Tracking and Mapping with Convolutional Neural Networks
* DeepTAM: Deep Tracking and Mapping
* Deeptkaclassifier: Brand Classification of Total Knee Arthroplasty Implants Using Explainable Deep Convolutional Neural Networks
* DeepTrack: Learning Discriminative Feature Representations by Convolutional Neural Networks for Visual Tracking
* DeepTrack: Learning Discriminative Feature Representations Online for Robust Visual Tracking
* DeepTrack: Lightweight Deep Learning for Vehicle Trajectory Prediction in Highways
* DeepTrailerAssist: Deep Learning Based Trailer Detection, Tracking and Articulation Angle Estimation on Automotive Rear-View Camera
* DeepTrip: A Deep Learning Model for the Individual Next Trip Prediction With Arbitrary Prediction Times
* DeepVCP: An End-to-End Deep Neural Network for Point Cloud Registration
* DeepVI: A Novel Framework for Learning Deep View-Invariant Human Action Representations using a Single RGB Camera
* DeepVideoMVS: Multi-View Stereo on Video with Recurrent Spatio-Temporal Fusion
* DeepView: View Synthesis With Learned Gradient Descent
* DeepVisage: Making Face Recognition Simple Yet With Powerful Generalization Skills
* DeepVolume: Brain Structure and Spatial Connection-Aware Network for Brain MRI Super-Resolution
* DeepVoting: A Robust and Explainable Deep Network for Semantic Part Detection Under Partial Occlusion
* DeepVoxels: Learning Persistent 3D Feature Embeddings
* Deepvoxels++: Enhancing the Fidelity of Novel View Synthesis from 3d Voxel Embeddings
* DeepVS: A Deep Learning Based Video Saliency Prediction Approach
* DeepVS2.0: A Saliency-Structured Deep Learning Method for Predicting Dynamic Visual Attention
* DeepWarp: Photorealistic Image Resynthesis for Gaze Manipulation
* DeepWheat: Estimating Phenotypic Traits from Crop Images with Deep Learning
* DeepWindows: Windows Instance Segmentation through an Improved Mask R-CNN Using Spatial Attention and Relation Modules
* DeepWrinkles: Accurate and Realistic Clothing Modeling
* DeepWriterID: An End-to-End Online Text-Independent Writer Identification System
* DeepXScope: Segmenting Microscopy Images with a Deep Neural Network
* Deepzzle: Solving Visual Jigsaw Puzzles With Deep Learning and Shortest Path Optimization
* DeeSCo: Deep heterogeneous ensemble with Stochastic Combinatory loss for gaze estimation
* DeeSIL: Deep-Shallow Incremental Learning
* DEF-Net: A Face Aging Model by Using Different Emotional Learnings
* default hierarchy for pronouncing English, A
* Default Shape Theory: With Application to the Computation of the Direction of the Light Source
* DeFeat-Net: General Monocular Depth via Simultaneous Unsupervised Representation Learning
* DEFEAT: Deep Hidden Feature Backdoor Attacks by Imperceptible Perturbation and Latent Representation Constraints
* Defeating face de-identification methods based on DCT-block scrambling
* Defeating Lattice-Based Data Hiding Code Via Decoding Security Hole
* DEFEATnet: A Deep Conventional Image Representation for Image Classification
* Defect-GAN: High-Fidelity Defect Synthesis for Automated Defect Inspection
* Defect Analysis Method for Visual Inspection, A
* Defect attention template generation cycleGAN for weakly supervised surface defect segmentation
* Defect Classification on Specular Surfaces Using Wavelets
* Defect detection for corner cracks in steel billets using a wavelet reconstruction method
* Defect Detection from Multi-frequency Limited Data via Topological Sensitivity
* Defect Detection in Inhomogeneously Textured Sputtered Surfaces Using 3D Fourier Image Reconstruction
* Defect detection in low-contrast glass substrates using anisotropic diffusion
* Defect detection in patterned wafers using anisotropic kernels
* Defect detection in periodic patterns using a multi-band-pass filter
* Defect detection in periodically patterned surfaces using independent component analysis
* Defect Detection in Random Color Textures
* Defect Detection in Random Colour Textures Using the MIA T2 Defect Maps
* Defect Detection in Textile Images Using Gabor Filters
* Defect detection in textured materials using optimized filters
* Defect detection in textured surfaces using color ring-projection correlation
* Defect detection in X-ray images using fuzzy reasoning
* Defect Detection Method Based on BC-YOLO for Transmission Line Components in UAV Remote Sensing Images, A
* Defect detection of castings in radiography images using a robust statistical feature
* Defect Detection of Historic Structures in Dark Places Based On The Point Cloud Analysis By Modified OPTD Method
* Defect Detection of Pantograph Slide Based on Deep Learning and Image Processing Technology
* Defect detection of printed circuit board based on lightweight deep convolution network
* Defect Detection of Stainless Steel Plates Using Deep Learning Technology
* Defect detection of terminal lead by single stereo vision
* Defect detection of uneven brightness in low-contrast images using basis image representation
* Defect detection on hardwood logs using high resolution three dimensional laser scan data
* Defect Detection on Inclined Textured Planes Using the Shape from Texture Method and the Delaunay Triangulation
* Defect detection on leather by oriented singularities
* Defect Detection on Patterned Fabrics Using Entropy Cues
* Defect detection on patterned jacquard fabric
* Defect detection on rail surfaces by a vision based system
* Defect identification on specular machined surfaces
* Defect Image Classification and Retrieval with MPEG-7 Descriptors
* Defect Inspection Method for Machine Vision Using Defect Probability Image with Deep Convolutional Neural Network, A
* Defect inspection of medicine vials using LBP features and SVM classifier
* Defect Inspection of Objects Such as Electronic Circuits
* Defect inspection research on fabric based on template correction and primitive decomposition
* Defect Inspection using Gravitation Loss and Soft Labels
* Defect recognition in numerical images by spectrum zero detection
* Defect Recognition System for Automated Inspection of Non-rigid Surfaces, A
* Defect repair for range data observed with a laser range scanner
* Defect visibility and content importance implications for the design of an objective video fidelity metric
* Defect visibility and content importance: Effects on Perceived Impairment
* Defective texture classification using optimized neural network structure
* Defectnet: Multi-Class Fault Detection on Highly-Imbalanced Datasets
* Defects Detection in Highly Specular Surface using a Combination of Stereo and Laser Reconstruction
* Defending Against Adversarial Attacks by Randomized Diversification
* Defending against attacks tailored to transfer learning via feature distancing
* Defending Against Deepfakes with Ensemble Adversarial Perturbation
* Defending Against Model Stealing Attacks With Adaptive Misinformation
* Defending Against Multiple and Unforeseen Adversarial Videos
* Defending Against Noise by Characterizing the Rate-Distortion Functions in End-to-End Noisy Image Compression
* Defending against Poisoning Attacks in Aerial Image Semantic Segmentation with Robust Invariant Feature Enhancement
* Defending against Universal Adversarial Patches by Clipping Feature Norms
* Defending Against Universal Attacks Through Selective Feature Regeneration
* Defending Against Universal Perturbations With Shared Adversarial Training
* Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack
* Defending Black Box Facial Recognition Classifiers Against Adversarial Attacks
* Defending Fake via Warning: Universal Proactive Defense Against Face Manipulation
* Defending malware detection models against evasion based adversarial attacks
* Defending Multimodal Fusion Models against Single-Source Adversaries
* Defending Neural ODE Image Classifiers from Adversarial Attacks with Tolerance Randomization
* Defending Person Detection Against Adversarial Patch Attack by Using Universal Defensive Frame
* Defense-friendly Images in Adversarial Attacks: Dataset and Metrics for Perturbation Difficulty
* Defense Against Adversarial Attacks by Reconstructing Images
* Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser
* Defense Against Adversarial Attacks via Controlling Gradient Leaking on Embedded Manifolds
* Defense Against Adversarial Attacks with Efficient Frequency-Adaptive Compression and Reconstruction
* Defense Against Adversarial Images Using Web-Scale Nearest-Neighbor Search
* Defense against Adversarial Patch Attacks for Aerial Image Semantic Segmentation by Robust Feature Extraction
* Defense Against Universal Adversarial Perturbations
* Defense Applications of Image Understanding
* Defense Mechanism Against Adversarial Attacks Using Density-based Representation of Images
* Defensive Few-Shot Learning
* Defensive Patches for Robust Recognition in the Physical World
* Defering range/domain comparisons in fractal image compression
* Define a fingerprint Orientation Field pattern
* Definiens
* Defining a geometric probability measure in correspondence problems for branched structures
* Defining a Model for Integrating Indoor and Outdoor Network Data to Support Seamless Navigation Applications
* Defining a new feature set for content-based image analysis using histogram refinement
* Defining a target distinctness measure through a single-channel computational model of vision
* Defining a Threshold Value for Maximum Spatial Information Loss of Masked Geo-Data
* Defining a Trade-off Between Spatial and Temporal Resolution of a Geosynchronous SAR Mission for Soil Moisture Monitoring
* Defining and Comparing Content Measures of Topological Relations
* Defining and computing stable representations of volume shapes from discrete trace using volume primitives: Application to 3D image analysis in soil science
* Defining and Rendering of Textured Objects Through the Use of Exponential Functions
* Defining cost functions and profitability measures for digraphs associated with raster DEMs
* Defining Densities For Urban Residential Texture, Through Land Use Classification, From Landsat Tm Imagery: Case Study Of Spanish Mediterranean Coast
* Defining Fitness-for-Use for Crowdsourced Points of Interest (POI)
* Defining Geospatial Data Fusion Methods Based On Topological Relationships
* Defining Image Content with Multiple Regions-of-Interest
* Defining Image Memorability Using the Visual Memory Schema
* Defining Laughter Context for Laughter Synthesis with Spontaneous Speech Corpus
* Defining Point Cloud Boundaries Using Pseudopotential Scalar Field Implicit Surfaces
* Defining Quantisation Strategies and a Perceptual Similarity Measure for Texture-based Annotation and Retrieval
* Defining separability of two fuzzy clusters by a fuzzy decision hyperplane
* Defining Spatial Neighborhoods for 3D Topological Analysis in Indoor Space
* Defining the Framework of Address Systems Based on Street-Based Address System in Korea
* Defining the Limits of Spectrally Based Bathymetric Mapping on a Large River
* Defining the Pose of Any 3D Rigid Object and an Associated Distance
* Defining the Spatial Resolution Requirements for Crop Identification Using Optical Remote Sensing
* Defining Time-to-Collision Thresholds by the Type of Lead Vehicle in Non-Lane-Based Traffic Environments
* Definition and Composition of Motor Primitives Using Latent Force Models and Hidden Markov Models
* Definition and extraction of stable points from fingerprint images
* Definition and recovery of kinematic features for recognition of American sign language movements
* Definition and Validation of a Distance Measure Between Structural Primitives
* Definition for Orientation for Multiple Component Shapes, A
* Definition of a comprehensive set of texture semivariogram features and their evaluation for object-oriented image classification
* Definition of A Methodology to Derive Road Network Functional Hierarchy Classes Using Car Tracking Data
* Definition of a Model-Based Detector of Curvilinear Regions
* Definition of a Spatial Entropy and Its Use for Texture Discrimination
* Definition of a transition surface with the purpose of integration between a laser scanner 3D model and a low resolution DTM
* Definition of a unified 3D semantic data model: A must-have in Mobile Augmented Reality Games
* Definition of a Workflow for Web Browsing of 3D Models in Archaeology
* Definition of descriptors for semantic image interpretation
* Definition of Effective Training Sets for Supervised Classification of Remote Sensing Images by a Novel Cost-Sensitive Active Learning Method
* Definition of Management Zones Through Image Processing for Precision Agriculture
* Definition of Neighborhood of a Region for Picture Processing, A
* Definition of Private Information for Image Sharing in Social Networking Services
* Definition of Strategies for the Reduction of Operational Inefficiencies in a Stroke Unit
* Definition of the database anonymization method for open data
* Definitions and Mapping of East African Wetlands: A Review
* Definitions of 3-D Model Objects
* Definitions of Terms and Spelling out Acronyms
* Deflating Dataset Bias Using Synthetic Data Augmentation
* Deflation based Fast and Robust Preconditioner for Bundle Adjustment, A
* Deflecting Adversarial Attacks with Pixel Deflection
* DeflickerCycleGAN: Learning to Detect and Remove Flickers in a Single Image
* DeFLoc: Deep Learning Assisted Indoor Vehicle Localization Atop FM Fingerprint Map
* DeFLOCNet: Deep Image Editing via Flexible Low-level Controls
* DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows
* DeFMO: Deblurring and Shape Recovery of Fast Moving Objects
* DEFNet: Dual-Branch Enhanced Feature Fusion Network for RGB-T Crowd Counting
* Defocus Blur-Invariant Scale-Space Feature Extractions
* Defocus Blur Correcting Projector-Camera System
* Defocus blur detection based on multiscale SVD fusion in gradient domain
* Defocus Blur Detection via Boosting Diversity of Deep Ensemble Networks
* Defocus Blur Detection via Depth Distillation
* Defocus Blur Detection via Multi-stream Bottom-Top-Bottom Fully Convolutional Network
* Defocus Blur Detection via Multi-Stream Bottom-Top-Bottom Network
* Defocus blur parameters identification by histogram matching
* Defocus Deblur Microscopy via Head-to-Tail Cross-Scale Fusion
* Defocus deblurring and superresolution for time-of-flight depth cameras
* Defocus Deblurring Using Dual-pixel Data
* Defocus Image Deblurring Network With Defocus Map Estimation as Auxiliary Task
* Defocus Inpainting
* Defocus Magnification Using Conditional Adversarial Networks
* Defocus Map Estimation and Deblurring from a Single Dual-Pixel Image
* Defocus Map Estimation From a Single Image Based on Two-Parameter Defocus Model
* Defocus map estimation from a single image using improved likelihood feature and edge-based basis
* Defocus map estimation from a single image
* Defocused Image Splicing Localization by Distinguishing Multiple Cues between Raw Naturally Blur and Artificial Blur
* Deforestation Along The Maya Mountain Massif Belize-guatemala Border
* Deforestation and Forest Degradation Due to Gold Mining in the Peruvian Amazon: A 34-Year Perspective
* Deforestation as the Prominent Driver of the Intensifying Wildfire in Cambodia, Revealed through Geospatial Analysis
* Deforestation by Afforestation: Land Use Change in the Coastal Range of Chile
* Deforestation Detection in the Amazon Rainforest with Spatial And Channel Attention Mechanisms
* Deforestation Detection in the Amazon Using DeepLabv3+ Semantic Segmentation Model Variants
* Deforestation detection using a spatio-temporal deep learning approach with synthetic aperture radar and multispectral images
* Deforestation Detection with Fully Convolutional Networks in the Amazon Forest from Landsat-8 and Sentinel-2 Images
* Deforestation Mapping Using Sentinel-1 and Object-based Random Forest Classification on Google Earth Engine
* Deforestation, Degradation
* Deforestation: Extracting 3D Bare-Earth Surface from Airborne LiDAR Data
* Deform PF-MT: Particle Filter With Mode Tracker for Tracking Nonaffine Contour Deformations
* Deformable-Model Based Textured Object Segmentation
* Deformable 2-D template matching using orthogonal curves
* Deformable 2D-3D Registration of Vascular Structures in a One View Scenario
* Deformable 2D Shape Matching Based on Shape Contexts and Dynamic Programming
* Deformable 3-D Facial Expression Model for Dynamic Human Emotional State Recognition, A
* Deformable 3-D model based vehicle matching with weighted Hausdorff and EDA in traffic surveillance
* Deformable 3D Convolution for Video Super-Resolution
* Deformable 3D Fusion: From Partial Dynamic 3D Observations to Complete 4D Models
* Deformable 3D Reconstruction with an Object Database
* Deformable 3D Volume Registration Using Efficient MRFs Model with Decomposed Nodes
* Deformable Alignment And Scale-Adaptive Feature Extraction Network For Continuous-Scale Satellite Video Super-Resolution
* deformable and expansible tree for structure recovery, A
* Deformable and Occluded Object Tracking via Graph Learning
* Deformable Avatars
* Deformable B-Solids and Implicit Snakes for 3D Localization and Tracking of SPAMM MRI Data
* Deformable B-Solids and Implicit Snakes for Localization and Tracking of MRI-SPAMM Data
* deformable block-matching algorithm for tracking epithelial cells, A
* Deformable boundary detection of stents in angiographic images
* Deformable Boundary Finding in Medical Images by Integrating Gradient and Region Information
* Deformable Boundary Finding Influenced by Region Homogeneity
* deformable CNN-based triplet model for fine-grained sketch-based image retrieval, A
* Deformable Contour Based Algorithm for Segmentation of the Hippocampus from MRI
* Deformable Contour Method: A Constrained Optimization Approach
* Deformable Contours: Modeling and Extraction
* Deformable Contours: Modeling, Extraction, Detection and Classification
* Deformable ConvNet with Aspect Ratio Constrained NMS for Object Detection in Remote Sensing Imagery
* Deformable ConvNets V2: More Deformable, Better Results
* Deformable Convolutional LSTM for Human Body Emotion Recognition
* Deformable Convolutional Networks
* Deformable Convolutional Neural Network with Spatial-Channel Attention for Remote Sensing Scene Classification, A
* Deformable convolutions in multi-view stereo
* Deformable DAISY Matcher for robust iris recognition
* Deformable Density Estimation via Adaptive Representation
* Deformable Dictionary Learning for SAR Image Change Detection
* Deformable Enhancement and Adaptive Fusion for Depth Map Super-Resolution
* Deformable face ensemble alignment with robust grouped-L1 anchors
* Deformable Face Fitting with Soft Correspondence Constraints
* Deformable face mapping for person identification
* Deformable face net for pose invariant face recognition
* Deformable Faster R-CNN with Aggregating Multi-Layer Features for Partially Occluded Object Detection in Optical Remote Sensing Images
* Deformable Feature Aggregation for Dynamic Multi-modal 3D Object Detection
* Deformable Fourier Surfaces for Volume Segmentation in SPECT
* Deformable Gabor Feature Networks for Biomedical Image Classification
* Deformable GANs for Pose-Based Human Image Generation
* Deformable Generator Networks: Unsupervised Disentanglement of Appearance and Geometry
* Deformable geometry model matching by topological and geometric signatures
* Deformable Graph Matching
* Deformable Graph Model for Tracking Epithelial Cell Sheets in Fluorescence Microscopy
* Deformable Grid-Matching Approach for Microarray Images, A
* Deformable group-wise registration using a physiological model: Application to diffusion-weighted MRI
* Deformable HOG-Based Shape Descriptor
* Deformable image alignment as a source of stereo correspondences on portraits
* Deformable Image Mosaicing for Optical Biopsy
* Deformable image registration based on elastodynamics
* Deformable Image Registration Based on Functions of Bounded Generalized Deformation
* Deformable Image Registration of Follow-Up Breast Magnetic Resonance Images
* Deformable Image Registration Using Functions of Bounded Deformation
* Deformable Image Registration using Spring Mass System
* Deformable Image Registration with Automatic Non-Correspondence Detection
* Deformable Image Registration
* Deformable Kernel Networks for Joint Image Filtering
* Deformable Kernels for Early Vision
* deformable local image descriptor, A
* Deformable M-Reps for 3D Medical Image Segmentation
* Deformable Matching of Hand Shapes for User Verification
* Deformable Medical Image Registration: A Survey
* Deformable Mesh Evolved by Similarity of Image Patches
* Deformable Mesh For Automated Surface Extraction From Noisy Images
* Deformable Mesh Model for Complex Multi-Object 3D Motion Estimation from Multi-Viewpoint Video
* Deformable mesh simulation for virtual laparoscopic cholecystectomy training
* Deformable Mixture Parsing Model with Parselets, A
* Deformable model-based face shape and motion estimation
* Deformable Model-Based Image Segmentation Algorithm for Shapes with Corners, A
* Deformable Model-Based Shape and Motion Analysis from Images using Motion Residual Error
* Deformable model-guided region split and merge of image regions
* Deformable Model and HMM-Based Tracking, Analysis, and Recognition of Gestures and Faces
* deformable model approach for the determination of transition strips on radiographic images, A
* Deformable model based data compression for gesture recognition
* deformable model driven method for handling clothes, A
* Deformable Model Fitting by Regularized Landmark Mean-Shift
* Deformable model fitting with a mixture of local experts
* Deformable model for estimating clothed and naked human shapes from a single image
* deformable model for fingerprint matching, A
* deformable model for human organ extraction, A
* Deformable Model for Image Segmentation in Noisy Medical Images, A
* Deformable model guided by stochastic speed with application in cine images segmentation
* Deformable Model of the Human Iris for Measuring Ocular Torsion from Video Images
* Deformable Model of the Human Iris for Measuring Small 3-Dimensional Eye Movements, A
* Deformable Model to Search Characteristic Facial Points, A
* Deformable Model using Probabalistic Labelling and Surface Relaxation to Segment MR Volumes, A
* Deformable model with a complexity independent from image resolution
* Deformable model with adaptive mesh and automated topology changes
* Deformable Model with Non-euclidean Metrics
* Deformable Models for 3D Medical Images Using Finite Elements and Balloons
* Deformable Models for Reconstructing Unstructured 3D Data
* Deformable Models for Segmentation
* Deformable Models for Segmentation, 3D Shape and Motion Estimation and Recognition
* Deformable Models in Medical Image Analysis: A Survey
* Deformable Models of Ears in-the-Wild for Alignment and Recognition
* Deformable models with parameter functions for cardiac motion analysis from tagged MRI data
* Deformable Models With Parameter Functions: Application to Heart-Wall Modeling
* Deformable models
* Deformable Models, Cardiac Motion Models for Volumes, Left Ventricle
* Deformable Models, General, Overview
* Deformable Models, Guest Editors Introduction
* Deformable Models, Medical Applications
* Deformable Models, University of Manchester Papers
* Deformable Models: Canonical Parameters for Surface Representation and Multiple View Integration
* Deformable Motion 3D Reconstruction by Union of Regularized Subspaces
* Deformable Motion Tracking of Cardiac Structures (DEMOTRACS) for Improved MR Imaging
* Deformable MR Prostate Segmentation via Deep Feature Learning and Sparse Patch Matching
* Deformable multi-scale scheme for biometric personal identification
* Deformable Multi Template Matching With Application To Portal Images
* Deformable multimodal registration with gradient orientation based on structure tensors
* Deformable Object Behavior Reconstruction Derived Through Simultaneous Geometric and Material Property Estimation
* Deformable Object Matching Based on Multi-scale Local Histograms
* Deformable Object Matching via Deformation Decomposition Based 2D Label MRF
* Deformable Object Modeling Using the Time-Dependent Finite Element Method
* Deformable Object Modelling and Matching
* Deformable Object Segmentation and Contour Tracking in Image Sequences Using Unsupervised Networks
* Deformable Object Shape Refinement and Tracking Using Graph Cuts and Support Vector Machines
* Deformable Object Tracking Algorithm Based on the Boundary Element Method that is Robust to Occlusions and Spurious Edges, A
* Deformable object tracking using the boundary element method
* Deformable Object Tracking With Gated Fusion
* Deformable Object Tracking: A Kernel Density Estimation Approach Via Level Set Function Evolution
* Deformable Part-Based Model Transfer for Object Detection
* Deformable part-based tracking by coupled global and local correlation filters
* Deformable Part Descriptors for Fine-Grained Recognition and Attribute Prediction
* Deformable part models are convolutional neural networks
* Deformable part models revisited: A performance evaluation for object category pose estimation
* Deformable Part Models with Individual Part Scaling
* Deformable Part Region Learning and Feature Aggregation Tree Representation for Object Detection
* Deformable Parts Correlation Filters for Robust Visual Tracking
* Deformable Pedal Curves and Surfaces: Hybrid Geometric Active Models for Shape Recovery
* Deformable pedal curves with application to face contour extraction
* Deformable Physiological Atlas-Based Programming of Deep Brain Stimulators: A Feasibility Study
* Deformable Pose Traversal Convolution for 3D Action and Gesture Recognition
* Deformable probability maps: Probabilistic shape and appearance-based object segmentation
* Deformable Protein Shape Classification Based on Deep Learning, and the Fractional Fokker-Planck and Kähler-Dirac Equations
* Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes
* Deformable Prototypes for Encoding Shape Categories in Image Databases
* Deformable Proximity Queries and Their Application in Mobile Manipulation Planning
* Deformable Quaternion Gabor Convolutional Neural Network For Color Facial Expression Recognition
* Deformable Region Model Using Stochastic Processes Applied to Echocardiographic Images, A
* Deformable Registration for Generating Dissection Image of an Intestine from Annular Image Sequence
* Deformable Registration for Geometric Distortion Correction of Diffusion Tensor Imaging
* Deformable Registration Method for Automated Morphometry of MRI Brain Images in Neuropsychiatric Research, A
* Deformable registration model with local rigidity preservation for radiation therapy of lung tumor
* Deformable Registration of Biomedical Images Using 2D Hidden Markov Models
* Deformable Registration of Feature-Endowed Point Sets Based on Tensor Fields
* Deformable Registration of Glioma Images Using EM Algorithm and Diffusion Reaction Modeling
* Deformable Registration of Multi-modal Microscopic Images Using a Pyramidal Interactive Registration-Learning Methodology
* Deformable Registration of Organic Shapes via Surface Intrinsic Integrals: Application to Outer Ear Surfaces
* Deformable Registration of Textured Range Images by Using Texture and Shape Features
* Deformable scene text detection using harmonic features and modified pixel aggregation network
* Deformable segmentation of 3-D ultrasound prostate images using statistical texture matching method
* Deformable Shape Completion with Graph Convolutional Autoencoders
* Deformable Shape Detection and Description via Model-Based Region Grouping
* Deformable Shape Finding With Models Based on Kernel Methods
* Deformable Shape Priors in Chan-Vese Segmentation of Image Sequences
* Deformable Shape Reconstruction from Monocular Video with Manifold Forests
* Deformable Shape Recovery by Factorization Based on a Spatiotemporal Measurement Matrix
* Deformable Shape Retrieval by Learning Diffusion Kernels
* Deformable Shapes Detection by Stochastic Optimization
* Deformable Siamese Attention Networks for Visual Object Tracking
* Deformable Slice-to-Volume Registration for Motion Correction of Fetal Body and Placenta MRI
* Deformable Solids -- Pentland Papers
* Deformable Solids -- Terzopoulos Papers
* Deformable Spatial Propagation Networks For Depth Completion
* Deformable Spatial Pyramid Matching for Fast Dense Correspondences
* Deformable spatio-temporal shape models: extending active shape models to 2D+time
* Deformable Spatio-Temporal Shape Models: Extending ASM to 2D+Time
* Deformable Sprites for Unsupervised Video Decomposition
* Deformable Statistical Shape Model Applied to Three-Dimensional Lumbar Vertebra Images, A
* Deformable strokes towards temporally coherent video painting
* Deformable structural models
* Deformable Style Transfer
* Deformable Surface-Spine Model for 3-D Surface Registration, A
* Deformable Surface Model with Volume Preserving Springs, A
* Deformable Surface Reconstruction Coupled with Discontinuity Edge Detection
* Deformable surface stereo tracking-by-detection using Second Order Cone Programming.
* Deformable Surface Tracking Ambiguities
* Deformable Surface Tracking by Graph Matching
* Deformable Surfaces: A Free-Form Shape Representation
* Deformable Template and Distribution Mixture-based Data Modeling for the Endocardial Contour Tracking in an Echographic Sequence
* Deformable Template Approach to Detecting Straight Edges in Radar Images, A
* Deformable Template As Active Basis
* Deformable template combining alignable and non-alignable sketches
* Deformable Template Matching
* Deformable Template Model Based on Fuzzy Alignment Algorithm, A
* Deformable Template Model, with Special Reference to Elliptical Templates, A
* Deformable template models: A review
* Deformable Template Network (DTN) for Object Detection
* Deformable Template Recognition of Multiple Occluded Objects
* Deformable Template Tracking in 1ms
* Deformable Templates for Face Recognition
* Deformable templates for feature extraction from medical images
* Deformable templates in image sequences
* Deformable Templates Using Large-Deformation Kinematics
* Deformable Templates, Robust Statistics, and Hough Transforms
* Deformable Texture: the Irregular-Regular-Irregular Cycle
* Deformable Tracking of Textured Curvilinear Objects
* Deformable tree models for 2D and 3D branching structures extraction
* Deformable triangular surfaces using fast 1-D radial Lagrangian dynamics-segmentation of 3-D MR and CT images of the wrist
* Deformable Velcro(TM) Surfaces
* Deformable Video Transformer
* Deformable Volumetric Simplex Meshes
* Deformable Wiener Filter for Future Video Coding
* Deformation-aware 3d Model Embedding and Retrieval
* Deformation-Aware Log-Linear Models
* Deformation-Aware Unpaired Image Translation for Pose Estimation on Laboratory Animals
* Deformation-Based Animation of Snake Locomotion
* Deformation-based data reduction of Time-Varying Meshes for displaying on mobile terminals
* Deformation-Based Mapping of Volume Change From Serial Brain MRI in the Presence of Local Tissue Contrast Change
* Deformation-Compensated Learning for Image Reconstruction Without Ground Truth
* Deformation-Invariant Networks for Handwritten Text Recognition
* Deformation Analysis for 3D Face Matching
* Deformation analysis of a bored tunnel by means of terrestrial laserscanning
* Deformation Analysis of Three-Dimensional Morphometric Structures
* Deformation analysis to detect and quantify active lesions in three-dimensional medical image sequences
* Deformation Analysis Using B-Spline Surface with Correlated Terrestrial Laser Scanner Observations: A Bridge Under Load
* Deformation and Correspondence Aware Unsupervised Synthetic-to-Real Scene Flow Estimation for Point Clouds
* Deformation and illumination invariant feature point descriptor
* deformation and lighting insensitive metric for face recognition based on dense correspondences, A
* Deformation and Related Slip Due to the 2011 Van Earthquake (Turkey) Sequence Imaged by SAR Data and Numerical Modeling
* Deformation and Smooth Joining of Mesh Models for Cardiac Surgical Simulation
* Deformation and Source Parameters of the 2015 Mw 6.5 Earthquake in Pishan, Western China, from Sentinel-1A and ALOS-2 Data
* Deformation and Viewpoint Invariant Color Histograms
* Deformation and Volumetric Change in a Typical Retrogressive Thaw Slump in Permafrost Regions of the Central Tibetan Plateau, China
* Deformation Aware Image Compression
* Deformation Based Curved Shape Representation
* Deformation Based Morphometry Analysis of Serial Magnetic Resonance Images of Mouse Brains
* Deformation Characteristics of Tianjiaba Landslide Induced by Surcharge
* Deformation Corrected Compressed Sensing (DC-CS): A Novel Framework for Accelerated Dynamic MRI
* Deformation Correction in Ultrasound Images Using Contact Force Measurements
* Deformation correction using Euclidean contour distance maps
* Deformation Detection In Piping Installations Using Profiling Techniques
* Deformation Detection of Mining Tunnel Based on Automatic Target Recognition
* Deformation Detection with Frequency-Modulation
* Deformation Determination of Aircraft Parts by Photogrammetry
* Deformation estimation on low coherence areas by means of polarimetric differential SAR interferometry
* Deformation Estimation Using Beidou GEO-Satellite-Based Reflectometry
* Deformation Evaluation of the South-to-North Water Diversion Project (SNWDP) Central Route over Handan in Hebei, China, Based on Sentinel-1A, Radarsat-2 and, TerraSAR-X Datasets
* Deformation Field Correction for Spatial Normalization of PET Images Using a Population-Derived Partial Least Squares Model
* Deformation Flow Based Two-Stream Network for Lip Reading
* Deformation invariant image matching by spectrally controlled diffeomorphic alignment
* Deformation Invariant Image Matching
* Deformation Invariant Visual Object Recognition: Experiments with a Self-Organizing Neural Architecture
* Deformation Invariants in Object Recognition
* Deformation Measurement of a Human Chest Experiencing Global Motion
* Deformation measurement using terrestrial laser scanning data and least squares 3D surface matching
* Deformation measurements at historical buildings with terrestrial laserscanners
* Deformation Model for Biotissues Behaviour Simulation, A
* deformation model to reduce the effect of expressions in 3D face recognition, A
* Deformation Modeling for Robust 3D Face Matching
* Deformation Models for Image Recognition
* Deformation Models: Tracking, Animation and Applications
* Deformation Monitoring and Analysis of Reservoir Dams Based on SBAS-InSAR Technology: Banqiao Reservoir
* Deformation Monitoring and Analysis of the Geological Environment of Pudong International Airport with Persistent Scatterer SAR Interferometry
* Deformation Monitoring and Trend Analysis of Reservoir Bank Landslides by Combining Time-Series InSAR and Hurst Index
* Deformation Monitoring At European Scale: the Copernicus Ground Motion Service
* Deformation Monitoring of High-latitude Permafrost Region Of Northeastern China With Time Series Insar Technique
* Deformation Monitoring of Motorway Underpasses Using Laser Scanning Data
* Deformation Monitoring Of Retrofitted Short Concrete Columns With Laser Sensor
* Deformation monitoring of single buildings using meter-resolution SAR data in PSI
* Deformation Monitoring of Tailings Reservoir Based on Polarimetric Time Series InSAR: Example of Kafang Tailings Reservoir, China
* Deformation Monitoring Using SAR Interferometry and Active and Passive Reflectors
* Deformation monitoring with off-the-shelf digital cameras for civil engineering fatigue testing
* Deformation of a Cartographic Road Network on a SPOT Satellite Image
* Deformation of Bridges, Monitor Bridges, Other Structures
* Deformation of discrete object surfaces
* Deformation of the Crust and Upper Mantle beneath the North China Craton and Its Adjacent Areas Constrained by Rayleigh Wave Phase Velocity and Azimuthal Anisotropy
* Deformation Parameter Estimation in Low Coherence Areas Using a Multisatellite InSAR Approach
* Deformation Response of Seismogenic Faults to the Wenchuan MS 8.0 Earthquake: A Case Study for the Southern Segment of the Longmenshan Fault Zone
* Deformation simulation based on model reduction with rigidity-guided sampling
* Deformation Time-Series Generation in Areas Characterized by Large Displacement Dynamics: The SAR Amplitude Pixel-Offset SBAS Technique
* Deformation tolerant generalized Hough transform for sketch-based image retrieval in complex scenes
* Deformation transfer based on stretchiness ratio
* Deformation transfer of 3D human shapes and poses on manifolds
* Deformation Trend Extraction Based on Multi-Temporal InSAR in Shanghai
* Deformation visual inspection of industrial parts with image sequence
* Deformation Weight Constraint and 3D Reconstruction of Nonrigid Objects
* Deformations and Morphology Changes Associated with the 2016-2017 Eruption Sequence at Bezymianny Volcano, Kamchatka
* Deformations Incorporating Rigid Structures
* Deformations monitoring in complicated-surface areas by adaptive distributed Scatterer InSAR combined with land cover: Taking the Jiaju landslide in Danba, China as an example
* Deformations, patches, and discriminative models for automatic annotation of medical radiographs
* Deformed and Touched Characters Recognition
* Deformed contour segment matching for multi-source images
* Deformed Implicit Field: Modeling 3D Shapes with Learned Dense Correspondence
* Deformed landmark fitting for sequential faces
* Deformed Lattice Detection in Real-World Images Using Mean-Shift Belief Propagation
* Deformed Lattice Discovery Via Efficient Mean-Shift Belief Propagation
* Deformed Palmprint Matching Based on Stable Regions
* Deformed Phase Prediction Using Svm for Structured Light Depth Generation
* Deformed Template Matching by the Viterbi Algorithm
* Deformed trademark retrieval based on 2D pseudo-hidden Markov model
* Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance
* Deforming NURBS Surfaces to Target Curves for Immersive VR Sketching
* Deforming Radiance Fields with Cages
* Deforming Surface Features Lines in Intrinsic Coordinates
* Deforming the Blurred Shape Model for Shape Description and Recognition
* DeformIrisNet: An Identity-Preserving Model of Iris Texture Deformation
* DeformNet: Free-Form Deformation Network for 3D Shape Reconstruction from a Single Image
* Deformotion: Deforming Motion, Shape Average and the Joint Registration and Approximation of Structures in Images
* DEFORMOTION: Deforming Motion, Shape Average and the Joint Registration and Segmentation of Images
* DeFraudNet:End2End Fingerprint Spoof Detection using Patch Level Attention
* DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection
* DeFT-AN: Dense Frequency-Time Attentive Network for Multichannel Speech Enhancement
* DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Discriminative Multi-Scale Deep Features
* DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Multi-Scale Deep Features
* Defuzzification of discrete objects by optimizing area and perimeter similarity
* Defuzzification of spatial fuzzy sets by feature distance minimization
* Defuzzification Strategies for Fuzzy Classifications of Remote Sensing Data
* Degen Generalized Cylinders and Their Properties
* Degeneracies in Rolling Shutter SfM
* Degeneracies, dependencies and their implications in multi-body and multi-sequence factorizations
* Degeneracy of the Intersection of Three Quadrics
* Degeneracy of the Linear Seventeen-Point Algorithm for Generalized Essential Matrix
* Degenerate Cases and Closed-form Solutions for Camera Calibration with One-Dimensional Objects
* Degenerate Models of Additive and Multiplicative Motion Transparency
* Degenerate motions in multicamera cluster SLAM with non-overlapping fields of view
* Degradation-agnostic Correspondence from Resolution-asymmetric Stereo
* Degradation adaptive texture classification
* Degradation Adaptive Texture Classification: A Case Study in Celiac Disease Diagnosis Brings New Insight
* Degradation Based Blind Image Quality Evaluation
* Degradation Model Learning for Real-world Single Image Super-resolution
* Degradation of iris recognition performance due to non-cosmetic prescription contact lenses
* Degradation of Kinematic PPP of GNSS Stations in Central Europe Caused by Medium-Scale Traveling Ionospheric Disturbances During the St. Patrick's Day 2015 Geomagnetic Storm
* Degradation of Non-Photosynthetic Vegetation in a Semi-Arid Rangeland
* Degraded Character Image Restoration
* Degraded Character Recognition by Complementary Classifiers Combination
* Degraded Character Recognition by Image Quality Evaluation
* Degraded color document image enhancement based on NRCIR
* Degraded Digit Restoration Based on Physical Forces
* Degraded document image binarization using structural symmetry of strokes
* Degraded Document Image Enhancement Using Hybrid Thresholding and Mathematical Morphology
* Degraded Gray-Scale Text Recognition Using Pseudo-2D Hidden Markov-Models and N-Best Hypotheses
* Degraded Image-Analysis: An Invariant Approach
* Degraded Image Semantic Segmentation With Dense-Gram Networks
* Degraded partial palmprint recognition for forensic investigations
* Degraded Reference Image Quality Assessment
* Degraded visual environments present challenges for DARPA
* Degraf-Flow: Extending Degraf Features for Accurate and Efficient Sparse-To-Dense Optical Flow Estimation
* Degree-of-linear-polarization-based Color Constancy
* Degree of Adjacency or Surroundedness
* Degree of loop assessment in microvideo
* Degree of Polarization Calculation for Laser Backscattering from Typical Geometric Rough Surfaces at Long Distance
* Degree of spacial dependence quantification algorithm in AODV protocol
* Degree Reduction in Labeled Graph Retrieval
* Degrees of Freedom of 2-Tier Networks Without Channel State Information at the Transmitter
* Degrees of Freedom of a MIMO Multipair Two-Way Relay Channel With Delayed Channel State Information
* degressive error protection algorithm for MPEG-4 FGS video streaming, A
* Dehashing: Server-Side Context-Aware Feature Reconstruction for Mobile Visual Search
* DehazeNet: An End-to-End System for Single Image Haze Removal
* Dehazing Cost Volume for Deep Multi-View Stereo in Scattering Media with Airlight and Scattering Coefficient Estimation
* Dehazing Cost Volume for Deep Multi-view Stereo in Scattering Media
* Dehazing Evaluation: Real-World Benchmark Datasets, Criteria, and Baselines
* Dehazing of color image using stochastic enhancement
* Dehazing of remote sensing images using fourth-order partial differential equations based trilateral filter
* Deictic and Intrinsic Use of Spatial Prepositions: A Multidisciplinary Comparison
* Deictic Gestures with a Time-of-Flight Camera
* Deictically Controlled Wheelchair, The
* Deinterlacing algorithm using gradient-guided interpolation and weighted average of directional estimation
* Deinterlacing by Successive Approximation
* Deinterlacing Using Hierarchical Motion Analysis
* Deinterlacing Using Taylor Series Expansion and Polynomial Regression
* Deinterlacing Using Variational Methods
* Deinterlacing, De-Interlacing
* DeiT III: Revenge of the ViT
* Deixis in Multimodal Human Computer Interaction: An Interdisciplinary Approach
* Deixis: How to Determine Demonstrated Objects Using a Pointing Cone
* DEKRV2: More Accurate or Fast than DEKR
* Delaunay-Based Representation of Surfaces Defined over Arbitrarily Shaped Domains
* Delaunay-Based Temporal Coding Model for Micro-expression Recognition, A
* Delaunay-Based Vector Segmentation of Volumetric Medical Images
* Delaunay-supported edges for image graphs
* Delaunay-Triangulation-Based Variable Neighborhood Search to Solve Large-Scale General Colored Traveling Salesman Problems
* Delaunay deformable mesh for the weathering and erosion of 3D terrain
* Delaunay Deformable Models: Topology-Adaptive Meshes Based on the Restricted Delaunay Triangulation
* Delaunay meshing of isosurfaces
* Delaunay Properties of Digital Straight Segments
* Delaunay Tetrahedralizations: Honor Degenerated Cases
* Delaunay Triangulation and the Shape Hull as Tools in Muscle Fibre Analysis, The
* Delaunay Triangulation based 3D Human Face Modeling from Uncalibrated Images
* Delaunay Triangulation Based Surface Reconstruction: A short survey
* Delaunay Triangulation Based Surface Reconstruction: Ideas and Algorithms
* Delaunay triangulation based text detection from multi-view images of natural scene
* Delaunay Triangulation in Three Dimensions
* Delaunay Triangulation Parallel Construction Method And Its Application In Map Generalization
* Delaunay/Voronoi Selection Graph: A Method for Extracting Shape Information from 2-D Dot-patterns with an Extension to 3-D, The
* Delay-Accuracy Tradeoff in Opportunistic Time-of-Arrival Localization
* Delay-aware Adaptation Framework for Cloud Gaming Under the Computation Constraint of User Devices, A
* Delay-Aware Content Delivery With Deep Reinforcement Learning in Internet of Vehicles
* Delay-Aware Resource Provisioning for Cost-Efficient Cloud Gaming
* Delay-Bounded Priority-Driven Resource Allocation for Video Transmission Over Multihop Networks
* Delay-Cognizant Interactive Streaming of Multiview Video With Free Viewpoint Synthesis
* Delay-Constrained and R-D Optimized Transrating for High-Definition Video Streaming Over WLANs
* Delay-constrained rate control for real-time video streaming over wireless networks
* Delay-constrained transmission of fine scalable coded content over P2P networks
* Delay-Dependent Stability Analysis of Load Frequency Control Systems With Electric Vehicles
* Delay-Distortion Optimization for Content-Adaptive Video Streaming
* Delay-Encoded Harmonic Imaging (DE-HI) in Multiplane-Wave Compounding
* Delay-Optimized Video Traffic Routing in Software-Defined Interdatacenter Networks
* Delay-Power-Rate-Distortion Optimization of Video Representations for Dynamic Adaptive Streaming
* Delay-Rate-Distortion Model for Real-Time Video Communication
* Delay-Rate-Distortion Optimization for Cloud Gaming With Hybrid Streaming
* Delay-Rate-Distortion Optimized Rate Control for End-to-End Video Communication Over Wireless Channels
* Delay-rate-distortion optimized rate control for wireless video communication
* Delay-shared N-path structures for video-rate SC FIR filters
* Delay-Tolerant Stochastic Algorithms for Parking Space Assignment
* Delay Compensation for Actuated Stereoscopic 360 Degree Telepresence Systems with Probabilistic Head Motion Prediction
* Delay Compensation for Distributed MIMO Radar With Non-Orthogonal Waveforms
* Delay Constrained Multiplexing of Video Streams Using Dual-Frame Video Coding
* Delay Correlation Subspace Decomposition Algorithm and Its Application in fMRI
* Delay in Arctic Sea Ice Freeze-Up Linked to Early Summer Sea Ice Loss: Evidence from Satellite Observations
* Delay management and energy consumption minimisation on a single-track railway
* Delay Metric for Video Object Detection: What Average Precision Fails to Tell, A
* Delay Minimization for NOMA-MEC Offloading
* Delay Multiply and Sum Beamforming Algorithm in Ultrasound B-Mode Medical Imaging, The
* Delay optimized array multiplier for signal and image processing
* Delay Performance of Session Establishment Signaling in IP Multimedia Subsystem
* Delay Time Fractional-Order Model for the Soft Exoskeleton Glove Control
* Delay: Power-Rate-Distortion Model for Wireless Video Communication Under Delay and Energy Constraints
* DeLay: Robust Spatial Layout Estimation for Cluttered Indoor Scenes
* delayed Elastic-Net approach for performing adversarial attacks, A
* Delayed fusion for real-time vision-aided inertial navigation
* Delayed Reinforcement Learning for Closed-Loop Object Recognition
* Delegated Adversarial Training for Unsupervised Domain Adaptation
* Delegating Authentication to Edge: A Decentralized Authentication Architecture for Vehicular Networks
* Deleted Interpolation Using a Hierarchical Bayesian Grammar Network for Recognizing Human Activity
* Deletion in Two-Dimensional Quad Trees
* Deletion of (26,6)-Simple Points as Multivalued Retractions
* Deletion Rules for Equivalent Sequential and Parallel Reductions
* Delft Image Processing library, The
* Delft University of Technology
* Deliberation for autonomous robots: A survey
* Deliberation with fast full-search block matching
* deliciousness information extraction method by controlling of image information, A
* DeLiEve-Net: Deblurring Low-light Images with Light Streaks and Local Events
* DeLiGAN: Generative Adversarial Networks for Diverse and Limited Data
* Delimitating Urban Commercial Central Districts by Combining Kernel Density Estimation and Road Intersections: A Case Study in Nanjing City, China
* Delimiting the Building Heights in a City from the Shadow in a Panchromatic Spot-Image. 1 Test of 42 Buildings
* Delineating Agricultural Field Boundaries from TM Imagery Using Dyadic Wavelet Transforms
* Delineating Buildings by Grouping Lines with MRFs
* Delineating Fire-Hazardous Areas and Fire-Induced Patterns Based on Visible Infrared Imaging Radiometer Suite (VIIRS) Active Fires in Northeast China
* Delineating Fluid-Filled Region Boundaries in Optical Coherence Tomography Images of the Retina
* Delineating Functional Urban Areas Using a Multi-Step Analysis of Artificial Light-at-Night Data
* Delineating Homology Generators in Graph Pyramids
* Delineating Individual Trees from Lidar Data: A Comparison of Vector- and Raster-based Segmentation Approaches
* Delineating low-count defective-contour SPECT lung scans for PE diagnosis using adaptive dual exponential thresholding and active contours
* Delineating parameters for object-based urban structure mapping in Santiago de Chile using Quickbird data
* Delineating Peri-Urban Areas Using Multi-Source Geo-Data: A Neural Network Approach and SHAP Explanation
* Delineating Polynya Area Using Active and Passive Microwave Sensors for the Western Ross Sea Sector of Antarctica
* Delineating Spatial Patterns in Human Settlements Using VIIRS Nighttime Light Data: A Watershed-Based Partition Approach
* Delineating trees in noisy 2D images and 3D image-stacks
* Delineating Urban Boundaries Using Landsat 8 Multispectral Data and VIIRS Nighttime Light Data
* Delineating Urban Community Life Circles for Large Chinese Cities Based on Mobile Phone Data and POI Data: The Case of Wuhan
* Delineating Urban Fringe Area by Land Cover Information Entropy: An Empirical Study of Guangzhou-Foshan Metropolitan Area, China
* Delineation and geometric modeling of road networks
* Delineation and Grading of Actual Crop Production Units in Modern Smallholder Areas Using RS Data and Mask R-CNN, The
* Delineation Evaluation and Variation of Debris-Covered Glaciers Based on the Multi-Source Remote Sensing Images, Take Glaciers in the Eastern Tomur Peak Region for Example
* Delineation of Agricultural Field Boundaries from Sentinel-2 Images Using a Novel Super-Resolution Contour Detector Based on Fully Convolutional Networks
* Delineation of Building Footprints from High Resolution Satellite Stereo Imagery Using Image Matching and a GIS Database
* Delineation of Built-Up Areas from Very High-Resolution Satellite Imagery Using Multi-Scale Textures and Spatial Dependence
* Delineation of built-up land change from SAR stack by analysing the coefficient of variation
* Delineation of Cocoa Agroforests Using Multiseason Sentinel-1 SAR Images: A Low Grey Level Range Reduces Uncertainties in GLCM Texture-Based Mapping
* Delineation of Crop Field Areas and Boundaries from UAS Imagery Using PBIA and GEOBIA with Random Forest Classification
* Delineation of elongated sub-patterns in a piecewise constant foreground
* Delineation of Geomorphological Woodland Key Habitats Using Airborne Laser Scanning
* Delineation of Impact Craters by a Mathematical Morphology Based Approach
* Delineation of Martian Craters Based on Edge Maps and Dynamic Programming
* Delineation of Paleo-Shorelines in the Lake Manyara Basin Using TerraSAR-X Data, The
* Delineation of Rain Areas with TRMM Microwave Observations Based on PNN
* Delineation of Skin Strata in Reflectance Confocal Microscopy Images with Recurrent Convolutional Networks
* Delineation of Suitable Cropland Areas Using A GIS Based Multi-Criteria Evaluation Approach In the Central Agricultural Region of Mongolia
* Delineation of Tree Patches in a Mangrove-Marsh Transition Zone by Watershed Segmentation of Aerial Photographs
* Delineation of Urban Agglomeration Boundary Based on Multisource Big Data Fusion: A Case Study of Guangdong-Hong Kong-Macao Greater Bay Area (GBA)
* Delineation of Urban Footprints From TerraSAR-X Data by Analyzing Speckle Characteristics and Intensity Information
* Delivering Critical Stimuli for Decision Making in VR Training: Evaluation Study of a Firefighter Training Scenario
* Delivering CRL with Low Bit Rate Network Coded Communication for ITS
* Delivering Meaningful Representation for Monocular Depth Estimation
* Delivering Real-Time Information Services on Public Transit: A Framework
* Delivering Standards to Industries: The MPEG Case
* Delivering value added products from elevation data
* delivery drones are coming, The
* Delivery Format for Unified Stereoscopic Video Content Transmissions over Dynamic Adaptive Streaming Scheme, A
* delivery layer in MPEG-4, The
* Delivery method for viewer-specific privacy protected video using discrete wavelet transform
* Delivery Model for Cultural Heritage Services in Smart Cities Environments, A
* Delivery quality score model for Internet video
* Delivery System for Streaming Video Over DiffServ Networks, A
* DELP-DAR system for license plate detection and recognition
* Delphi Electronics and Safety
* Delphi: geometry-based connectivity prediction in triangle mesh compression
* DeLS-3D: Deep Localization and Segmentation with a 3D Semantic Map
* DELS-MVS: Deep Epipolar Line Search for Multi-View Stereo
* Delta-density based clustering with a divide-and-conquer strategy: 3DC clustering
* Delta-Dual Hierarchical Dirichlet Processes: A pragmatic abnormal behaviour detector
* delta-medial axis: A robust and linear time algorithm for Euclidian skeleton computation, The
* Delta-MSE dissimilarity in suboptimal K-means clustering
* Delta-n Hinge: Rotation-Invariant Features for Writer Identification
* Delta Distillation for Efficient Video Processing
* Delta Medial Axis: A fast and robust algorithm for filtered skeleton extraction, The
* Delta Sampling R-BERT for limited data and low-light action recognition
* Delta tributary network: An efficient alternate approach for bottleneck layers in CNN for plant disease classification
* DELTA: A deep dual-stream network for multi-label image classification
* DeltaCNN: End-to-End CNN Inference of Sparse Frame Differences in Videos
* DeltaGAN: Towards Diverse Few-Shot Image Generation with Sample-Specific Delta
* DELTAR: Depth Estimation from a Light-Weight ToF Sensor and RGB Image
* Deltas: Depth Estimation by Learning Triangulation and Densification of Sparse Points
* Deltille Grids for Geometric Camera Calibration
* DelugeNets: Deep Networks with Efficient and Flexible Cross-Layer Information Inflows
* Delving Deep Into Coarse-to-Fine Framework for Facial Landmark Localization
* Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild
* Delving Deep into Interpreting Neural Nets with Piece-Wise Affine Representation
* Delving Deep Into Label Smoothing
* Delving Deep into Many-to-many Attention for Few-shot Video Object Segmentation
* Delving Deep Into One-Shot Skeleton-Based Action Recognition With Diverse Occlusions
* Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
* Delving deep into spatial pooling for squeeze-and-excitation networks
* Delving Deep into the Generalization of Vision Transformers under Distribution Shifts
* Delving Deeper into Anti-Aliasing in ConvNets
* Delving Deeper Into Mask Utilization in Video Object Segmentation
* Delving Deeper Into Pixel Prior for Box-Supervised Semantic Segmentation
* Delving deeper into the whorl of flower segmentation
* Delving in the loss landscape to embed robust watermarks into neural networks
* Delving into Calibrated Depth for Accurate RGB-D Salient Object Detection
* Delving into Data: Effectively Substitute Training for Black-box Attack
* Delving into Details: Synopsis-to-Detail Networks for Video Recognition
* Delving into egocentric actions
* Delving into High-Quality Synthetic Face Occlusion Segmentation Datasets
* Delving into High Quality Endoscopic Diagnoses
* Delving into Inter-Image Invariance for Unsupervised Visual Representations
* Delving into Localization Errors for Monocular 3D Object Detection
* Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification
* Delving Into Robust Object Detection From Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach
* Delving into Salient Object Subitizing and Detection
* Delving into the Effectiveness of Receptive Fields: Learning Scale-Transferrable Architectures for Practical Object Detection
* Delving into the Estimation Shift of Batch Normalization in a Network
* Delving into the Synthesizability of Dynamic Texture Samples
* Delving into the whorl of flower segmentation
* Delving into Universal Lesion Segmentation: Method, Dataset, and Benchmark
* DEM- and GIS-Based Analysis of Soil Erosion Depth Using Machine Learning
* DEM-Aided Block Adjustment for Satellite Images With Weak Convergence Geometry
* DEM-Assisted RFM Block Adjustment of Pushbroom Nadir Viewing HRS Imagery
* DEM-Based Analysis of Interactions between Tectonics and Landscapes in the Ore Mountains and Eger Rift (East Germany and NW Czech Republic)
* DEM-Based UAV Flight Planning for 3D Mapping of Geosites: The Case of Olympus Tectonic Window, Lesvos, Greece
* DEM-Based Vs30 Map and Terrain Surface Classification in Nationwide Scale: A Case Study in Iran
* DEM (Digital Elevation Model) Production and Accuracy Modeling of DEMs from 1:35.000 Scale Aerial Photographs
* DEM Accuracy Research Based on Unmanned Aerial Survey Data
* Dem Assessment Derived From Close Range Photogrammetry: A Case Study From Kadavur Area, Karur District, Tamil Nadu, India
* DEM Based Study on Shielded Astronomical Solar Radiation and Possible Sunshine Duration under Terrain Influences on Mars by Using Spectral Methods
* DEM Construction Method for Inconstant Inter-Tidal Zone Base on Short-Interval, High Frequency MODIS Data Set: A Case Study in the Dongsha Sandbank of the Jiangsu Radial Tidal Sand-Ridges, A
* DEM Control in Arctic Alaska With ICESat Laser Altimetry
* DEM Development from Ground-Based LiDAR Data: A Method to Remove Non-Surface Objects
* DEM Error Correction in InSAR Time Series
* DEM Estimation for LASAR Based on Variational Model
* DEM Extraction from ALS Point Clouds in Forest Areas via Graph Convolution Network
* Dem Extraction From Worldview-3 Stereo-images And Accuracy Evaluation
* DEM from stereo Landsat 7 ETM+ data over high relief areas
* DEM Fusion and Its Application in Mapping Topography of Complex Areas
* DEM generalization by minor valley branch detection and grid filling, A
* DEM Generation by Means of ERS Tandem Data
* DEM Generation From Close-range Photogrammetry Using Extended Python Photogrammetry Toolbox
* DEM generation from contours and a low-resolution DEM
* DEM Generation from GF-7 Satellite Stereo Imagery Assisted by Space-Borne LiDAR and Its Application to Active Tectonics
* DEM Generation from High Resolution Multi-View Data product
* DEM Generation from High Resolution Satellite Imagery
* DEM Generation from High Resolution Satellite Images through a new 3D Least Squares Matching Algorithm
* DEM Generation from Multi Satellite PlanetScope Imagery
* DEM generation from SPOT-5 3-fold along track stereoscopic imagery using autocalibration
* DEM Generation Using a Digital Large Format Frame Camera
* DEM Generation With a Scale Factor Using Multi-Aspect SAR Imagery Applying Radargrammetry
* DEM Generation with ICESat-2 Altimetry Data for the Three Antarctic Ice Shelves: Ross, Filchner-Ronne and Amery
* DEM Generation with Radarsat-2 Data without GCP
* DEM Generation with Short Base Length Pleiades Triplet
* DEM Generation with Worldview-2 Images
* DEM matching for bias compensation of rigorous pushbroom sensor models
* DEM Reconstruction Accuracy in Multichannel SAR Interferometry
* Dem Reconstruction Using Light Field And Bidirectional Reflectance Function From Multi-view High Resolution Spatial Images
* DEM refinement by low vegetation removal based on the combination of full waveform data and progressive TIN densification
* DEM Registration Based on Mutual Information
* DEM Registration, Alignment and Evaluation for SAR Interferometry
* DEM Super-Resolution Reconstruction Network Combining Internal and External Learning, A
* DEM Void Filling Based on Context Attention Generation Model
* DEM
* DEM, DSM, DTM, Evaluations, Valdiation, Surveys, Overviews
* DEM, DSM, DTM, Generation in Urban Areas
* DEM, DSM, DTM, Generation Using LiDAR, LIDAR, Laser Data
* DEM, DSM, DTM, Generation Using Radar, SAR, IFSAR, INSAR, InSAR
* DEM, DSM, DTM, Generation Using UAV
* DEM, Surface Analysis for Ridges and Streams, Rivers, Drainage, Depressions
* Demand-Driven Train Schedule Synchronization for High-Speed Rail Lines
* Demand-Driven Transparency for Monitoring Intelligent Agents
* Demand-Driven Visual Information Acquisition
* Demand Flexibility Estimation Based on Habitual Behaviour and Motif Detection
* Demand for Ecosystem Services Drive Large-Scale Shifts in Land-Use in Tropical Mountainous Watersheds Prone to Landslides
* Demand for intelligent vehicle safety systems in Europe
* Demand, Supply, and Performance of Street-Hail Taxi
* DEMD-based video coding for textured videos in an H.264/MPEG framework
* Demea: Deep Mesh Autoencoders for Non-rigidly Deforming Objects
* DEMEDITOR: A Tool for Editing DEMs
* Dementia-Related Features in Longitudinal MRI: Tracking Keypoints over Time
* Dementia MRI image classification using transformation technique based on elephant herding optimization with Randomized Adam method for updating the hyper-parameters
* DeMFI: Deep Joint Deblurring and Multi-frame Interpolation with Flow-Guided Attentive Correlation and Recursive Boosting
* Demisting the Hough Transform for 3D Shape Recognition and Registration
* Demo abstract: FPGA-based implementation of a flexible FFT dedicated to LTE standard
* Demo abstract: How fuzzy logic can enhance energy management in Wireless Sensor nodes equipped by energy harvesters and wake-up radios
* Demo for Image-Based Personality Test, A
* Demo: Accelerating Depth-Map on Mobile Device Using CPU-GPU Co-processing
* Demo: DLP based anti-piracy display system
* Demo: Efficient delay and apodization for on-FPGA 3D ultrasound
* Demo: HELICoiD tool demonstrator for real-time brain cancer detection
* Demo: Ker-ONE: Embedded virtualization approach with dynamic reconfigurable accelerators management
* Demo: Localisation in a faulty digital GPS receiver
* Demo: MPPA: manycore processor towards future ADAS system solutions
* Demo: Overlay architectures for heterogeneous FPGA cluster management
* Demo: Reconfigurable Platform Composer Tool
* Demo: Robust face recognition via sparse representation
* Demo: ShopMobile II: Eyes-free supermarket grocery shopping for visually impaired mobile phone users
* Demo: SLP-aware word length optimization
* Demo: UHD live video streaming with a real-time scalable HEVC encoder
* Demo2Vec: Reasoning Object Affordances from Online Videos
* DeMoCap: Low-Cost Marker-Based Motion Capture
* Democracy Does Matter: Comprehensive Feature Mining for Co-Salient Object Detection
* Democratic Diffusion Aggregation for Image Retrieval
* Democratic Republic of the Congo Tropical Forest Canopy Height and Aboveground Biomass Estimation with Landsat-8 Operational Land Imager (OLI) and Airborne LiDAR Data: The Effect of Seasonal Landsat Image Selection
* Democratic Tone Mapping Using Optimal K-means Clustering
* Democratic voting downsampling for coding-based palmprint recognition
* Democratizing 3D dynamic gestures recognition
* Democratizing rendering for multiple viewers in surround VR systems
* Democratizing the visualization of 500 million webcam images
* Democritus University of Thrace
* Demodulation Based Transformer for rPPG Generation and Heart Rate Estimation
* Demodulation of images modeled by amplitude-frequency modulations using multidimensional energy separation
* Demographic Analysis from Biometric Data: Achievements, Challenges, and New Frontiers
* Demographic Attribute Inference from Social Multimedia Behaviors: A Cross-OSN Approach
* Demographic classification through pupil analysis
* Demographic Classification Using Skin RGB Albedo Image Analysis
* Demographic Classification with Local Binary Patterns
* Demographic effects on estimates of automatic face recognition performance
* Demographic Estimation from Face Images: Human vs. Machine Performance
* Demographic Variations in Performance of Biometric Algorithms
* Demographic Variations in Performance of Biometrics and Related Technology
* Demographics versus Biometric Automatic Interoperability
* Demoireing for screen-shot images with multi-channel layer decomposition
* Demoireing, Demoiréing, Moire Removal
* Demon registration for 3D images obtained by serial block face scanning electron microscopy
* DeMoN: Depth and Motion Network for Learning Monocular Stereo
* Demons Methods for Digital Mammography Registration
* Demonstrating an FPGA implementation of a full HD real-time HEVC decoder with memory optimizations for range extensions support
* Demonstrating Polynomial Run-Time Growth for Local Search Matching
* Demonstrating the new compact descriptors for visual search (CDVS) standard for image retrieval on mobile devices
* Demonstration abstract: Motion-consistent video inpainting
* Demonstration and Evaluation of 3D Winds Generated by Tracking Features in Moisture and Ozone Fields Derived from AIRS Sounding Retrievals
* Demonstration of a multimedia player supporting the MPEG-DASH protocol
* Demonstration of a Remote Optical Measurement Configuration That Correlates With Breathing, Heart Rate, Pulse Pressure, Blood Coagulation, and Blood Oxygenation
* Demonstration of a simple free viewpoint television system
* Demonstration of a virtual active hyperspectral LiDAR in automated point cloud classification
* Demonstration of an HMM-based photorealistic expressive audio-visual speech synthesis system
* Demonstration of assembly work using augmented reality
* Demonstration of Handprinted Symbol Recognition, A
* Demonstration of image retrieval based on illumination invariant textural MRF features
* Demonstration of Improved Automatic Target-Recognition Performance by Moment Analysis of Correlation Peaks
* Demonstration of In-Car Doppler Laser Radar at 1.55 mu-m for Range and Speed Measurement
* Demonstration of OpenFlow-Controlled Network Orchestration for Adaptive SVC Video Manycast
* Demonstration of Percent Tree Cover Mapping Using Landsat Analysis Ready Data (ARD) and Sensitivity with Respect to Landsat ARD Processing Level
* Demonstration of rapid frequency selective reconstruction for image resolution enhancement
* Demonstration of SAR Distortion Correction Using a Ground-Based Multichannel SAR Test Bed
* Demonstration of Segmentation with Interactive Graph Cuts
* Demonstration of single-shot digital holography using a Bayesian framework
* Demonstration of Super-Resolution for Tomographic SAR Imaging in Urban Environment
* Demonstration of the Feasibility of the Korean eLoran System as a Resilient PNT in a Testbed
* Demonstration of Three-Satellite Stereo Winds, A
* Demonstration of Time- and Wavelength-Division Multiplexed Passive Optical Network Based on VCSEL Array
* Demonstrations and live evaluation for the gesture recognition challenge
* Demosaicing algorithms for area- and line-scan cameras in print inspection
* Demosaicing approach based on extended color total-variation regularization
* Demosaicing Based on Directional Difference Regression and Efficient Regression Priors
* Demosaicing Based On Wavelet Analysis of the Luminance Component
* Demosaicing by smoothing along 1D features
* Demosaicing by Successive Approximation
* Demosaicing enhancement using pixel-level fusion
* Demosaicing Method for Digital Cameras with White-RGB Color Filter Array
* Demosaicing of Color Filter Array Captured Images Using Gradient Edge Detection Masks and Adaptive Heterogeneity-Projection
* Demosaicing of images obtained from single-chip imaging sensors in YUV color space
* Demosaicing Using Optimal Recovery
* Demosaicing using variable-size classifiers and proportional weights
* Demosaicing With Directional Filtering and a posteriori Decision
* Demosaicing, Demosaicking
* Demosaicing: Image Reconstruction from Color CCD Samples
* Demosaicked Image Postprocessing Using Local Color Ratios
* Demosaicking algorithm for the Fujifilm X-Trans color filter array
* Demosaicking algorithm for white-RGB CFA images
* Demosaicking Algorithm with Adaptive Inter-Channel Correlation, A
* Demosaicking and JPEG2000 compression of microscopy images
* Demosaicking Based on Optimization and Projection in Different Frequency Bands
* Demosaicking by Alternating Projections: Theory and Fast One-Step Implementation
* Demosaicking Method for Multispectral Images Based on Spatial Gradient and Inter-channel Correlation
* Demosaicking of Noisy Bayer-Sampled Color Images With Least-Squares Luma-Chroma Demultiplexing and Noise Level Estimation
* Demosaicking recognition with applications in digital photo authentication based on a quadratic pixel correlation model
* Demosaicking Using a Spatial Reference Image for an Anti-Aliasing Multispectral Filter Array
* Dempster-Shafer's Basic Probability Assignment Based on Fuzzy Membership Functions
* Dempster-Shafer's theory as an aid to color information processing. Application to melanoma detection in dermatology
* Dempster-Shafer approach for recognizing machine features from CAD models, A
* Dempster-Shafer Based Rejection Strategy for Handwritten Word Recognition
* Dempster-Shafer evidence theory-based multi-feature learning and fusion method for non-rigid 3D model retrieval
* Dempster-Shafer Relaxation Approach to Context Classification, A
* Dempster-Shafer theory-based hierarchical saliency detection
* Dempster-Shafer Theory Based Classifier Fusion for Improved Fingerprint Verification Performance
* Dempster-Shafer Theory based combination of handwriting recognition systems with multiple rejection strategies, A
* Dempster-Shafer Theory For Sensor Fusion In Autonomous Mobile Robots
* Demultiplexing illumination via low cost sensing and nanosecond coding
* DEMVSNet: Denoising and depth inference for unstructured multi-view stereo on noised images
* Demystifying Attention Mechanisms for Deepfake Detection
* Demystifying Multi-Faceted Video Summarization: Tradeoff Between Diversity, Representation, Coverage and Importance
* Demystifying Quadrilateral Remeshing
* Demystifying the Asymptotic Behavior of Global Denoising
* Demystifying the Capability of Sublook Correlation Techniques for Vessel Detection in SAR Imagery
* Demystifying the Coherence Index in Compressive Sensing
* Demystifying the Neural Tangent Kernel from a Practical Perspective: Can it be trusted for Neural Architecture Search without training?
* Demystifying Unsupervised Semantic Correspondence Estimation
* DEN: Disentanglement and Enhancement Networks for Low Illumination Images
* DEN: Disentangling and Exchanging Network for Depth Completion
* DENAO: Monocular Depth Estimation Network With Auxiliary Optical Flow
* Dendritic Spine Shape Analysis: A Clustering Perspective
* Dendrogram Clustering for 3D Data Analytics In Smart City
* DENESTO: A Tool for Video Decoding Energy Estimation and Visualization
* DENet: A Universal Network for Counting Crowd With Varying Densities and Scales
* Denet: Detection-driven Enhancement Network for Object Detection Under Adverse Weather Conditions
* DeNet: Scalable Real-Time Object Detection with Directed Sparse Sampling
* DengueViz: A Knowledge-Based Expert System Integrated with Parallel Coordinates Visualization in the Dengue Diagnosis
* Denighting: Enhancement of nighttime images for a surveillance camera
* DEnKF-Variational Hybrid Snow Cover Fraction Data Assimilation for Improving Snow Simulations with the Common Land Model
* DenMune: Density peak based clustering using mutual nearest neighbors
* Denoise and Contrast for Category Agnostic Shape Completion
* Denoising-based image reconstruction from pixels located at non-integer positions
* Denoising-Based Turbo Message Passing for Compressed Video Background Subtraction
* Denoising-Enhancing Images on Elastic Manifolds
* Denoising 3D images from time-of-flight cameras using extended anisotropic diffusion
* Denoising 3D Medical Images Using a Second Order Variational Model and Wavelet Shrinkage
* Denoising adversarial autoencoders: classifying skin lesions using limited labelled training data
* Denoising Adversarial Networks for Rain Removal and Reflection Removal
* Denoising Algorithm for the FY-4A GIIRS Based on Principal Component Analysis
* Denoising Algorithm for the Pixel-Response Non-Uniformity Correction Of A Scientific CMOS Under Low Light Conditions
* Denoising AMP for MRI Reconstruction: BM3D-AMP-MRI
* Denoising an Image by Denoising Its Components in a Moving Frame
* Denoising an Image by Denoising Its Curvature Image
* Denoising and Accuracy Evaluation of ICESat-2/ATLAS Photon Data for Nearshore Waters Based on Improved Local Distance Statistics
* Denoising and copy attacks resilient watermarking by exploiting prior knowledge at detector
* Denoising and Deconvolution in Nuclear Medicine
* Denoising and dimensionality reduction of hyperspectral imagery using wavelet packets, neighbour shrinking and principal component analysis
* Denoising and error correction in noisy AES-encrypted images using statistical measures
* Denoising and recognition using hidden Markov models with observation distributions modeled by hidden Markov trees
* Denoising and segmentation of MR images using fourth order non-linear adaptive PDE and new convergent clustering
* denoising approach for iterative side information creation in distributed video coding, A
* Denoising Archival Films using a Learned Bayesian Model
* Denoising Atmospheric Radar Signals Using Spectral-Based Subspace Method Applicable for PBS Wind Estimation
* Denoising Autoencoder for Iris Recognition in Noncooperative Environments
* Denoising Autoencoders for Overgeneralization in Neural Networks
* Denoising based on non local means for ultrasound images with simultaneous multiple noise distributions
* Denoising by Inpainting
* Denoising by low-rank and sparse representations
* Denoising by semi-supervised kernel PCA preimaging
* Denoising by Soft-Thresholding
* Denoising by spatial correlation thresholding
* Denoising Color Images Based on Local Orientation Estimation and CNN Classifier
* Denoising convolutional neural network with mask for salt and pepper noise
* Denoising for 3-D Photon-Limited Imaging Data Using Nonseparable Filterbanks
* Denoising for Multiple Image Copies through Joint Sparse Representation
* Denoising framework based on external prior guided rotational clustering
* Denoising Functional MR Images: A Comparison of Wavelet Denoising and Gaussian Smoothing
* Denoising Hyperspectral Image With Non-i.i.d. Noise Structure
* Denoising hyperspectral images using Hilbert vibration decomposition with cluster validation
* Denoising hyperspectral images using spectral domain statistics
* Denoising image by matrix factorization in U-shaped convolutional neural network
* Denoising image sequences does not require motion estimation
* Denoising images corrupted by impulsive noise using projections onto the epigraph set of the total variation function (PES-TV)
* Denoising Images: Non-linear Leap-Frog for Shape and Light-Source Recovery
* Denoising imaging polarimetry by adapted BM3D method
* Denoising infrared structured light DIBR signals using 3D morphological operators
* Denoising Magnetic Resonance Images Using Fourth Order Complex Diffusion
* Denoising Manifold and Non-Manifold Point Clouds
* Denoising Method Based on Pulse Interval Compensation for High-Speed Spike-Based Image Sensor, A
* Denoising method for acoustic wake based on correlation of multiwavelet coefficient
* Denoising Method of Human Pose Estimation Based on Reconstruction from Keyframes, A
* Denoising method selection by comparison-based image quality assessment
* Denoising multi-view images by soft thresholding: A short-time DFT approach
* Denoising Multi-view Images Using Non-local Means with Different Similarity Measures
* Denoising Nonlinear Time Series by Adaptive Filtering and Wavelet Shrinkage: A Comparison
* Denoising of 3d Point Clouds
* Denoising of Audio Data by Nonlinear Diffusion
* Denoising of Biomedical Images, A
* Denoising of computed tomography using bilateral median based autoencoder network
* Denoising of Diffusion MRI Data via Graph Framelet Matching in x-q Space
* Denoising of Digital Radiographic Images with Automatic Regularization Based on Total Variation
* Denoising of Dynamic Contrast-Enhanced MR Images Using Dynamic Nonlocal Means
* Denoising of Hyperspectral Imagery Using Principal Component Analysis and Wavelet Shrinkage
* Denoising of Hyperspectral Images Using Nonconvex Low Rank Matrix Approximation
* Denoising of Hyperspectral Images Using the PARAFAC Model and Statistical Performance Analysis
* Denoising of Image Gradients and Constrained Total Generalized Variation
* Denoising of Image Gradients and Total Generalized Variation Denoising
* Denoising of medical images corrupted by Poisson noise
* Denoising of Microscopy Images: A Review of the State-of-the-Art, and a New Sparsity-Based Method
* Denoising of multicomponent images using wavelet least-squares estimators
* Denoising of natural images through robust wavelet thresholding and genetic programming
* Denoising of natural stochastic colored-textures based on fractional brownian motion model
* Denoising of salt-and-pepper noise corrupted image using modified directional-weighted-median filter
* Denoising of SAR Images Based on Wavelet Packet
* Denoising of Three Dimensional Data Cube Using Bivariate Wavelet Shrinking
* Denoising of Time-Density Data in Digital Subtraction Angiography
* Denoising of Time-of-Flight depth data via iteratively reweighted least squares minimization
* Denoising of ultrasound images affected by combined speckle and Gaussian noise
* Denoising of volumetric depth confidence for view rendering
* Denoising photographs using dark frames optimized by quadratic programming
* Denoising Point Cloud Data of Small-Structured Free Form-Surfaces Captured by a Phase-Based Laserscanner
* Denoising Pretraining for Semantic Segmentation
* Denoising Prior Driven Deep Neural Network for Image Restoration
* Denoising radio interferometric images by subspace clustering
* Denoising real bursts with squeeze-and-excitation residual network
* Denoising Recurrent Neural Networks for Classifying Crash-Related Events
* Denoising Saliency Map for Region of Interest Extraction
* Denoising Sentinel-1 Extra-Wide Mode Cross-Polarization Images Over Sea Ice
* Denoising techniques for raw 3D data of TOF cameras based on clustering and wavelets
* Denoising Textual Images Using Local/Non-local Smoothing Filters: A Comparative Study
* Denoising the high dynamic range imaging process: A comparative study using SNR and detail loss criteria
* Denoising the Optical Fiber Seismic Data by Using Convolutional Adversarial Network Based on Loss Balance
* Denoising Time-Of-Flight Data with Adaptive Total Variation
* Denoising using projections onto the epigraph set of convex cost functions
* Denoising Via Nonlinear Image Decomposition for a Digital Color Camera
* Denoising vs. deblurring: HDR imaging techniques using moving cameras
* Denoising, Range Images, Range, Depth Data
* Denomination-Based Quasi-Isotropic Remeshing using Curvature Map and Voronoi Tessellation
* Denormalization of Visibilities for In-Orbit Calibration of Interferometric Radiometers
* Dense-Aware Cross-splitNet for Object Detection and Recognition, A
* Dense-Captioning Events in Videos
* Dense-CNN: Dense convolutional neural network for stereo matching using multiscale feature connection
* Dense-Depth Representation for VLAD Descriptors in Content-Based Image Retrieval, A
* Dense-Gated U-Net for Brain Lesion Segmentation, A
* Dense-Haze: A Benchmark for Image Dehazing with Dense-Haze and Haze-Free Images
* Dense-Hog-based 3D face tracking for infant pain monitoring
* Dense-Resolution Network for Point Cloud Classification and Segmentation
* Dense-scale Feature Learning in Person Re-identification
* Dense 3-D Reconstruction of an Outdoor Scene by Hundreds-Baseline Stereo Using a Hand-Held Video Camera
* Dense 3-D Structure from Image Sequences Using Probabilistic Depth Carving
* Dense 3D-Reconstruction from Monocular Image Sequences for Computationally Constrained UAS*
* Dense 3D Coordinate Code Prior Guidance for High-Fidelity Face Swapping and Face Reenactment
* Dense 3D face alignment from 2D video for real-time use
* Dense 3D face alignment from 2D videos in real-time
* Dense 3D Face Correspondence
* Dense 3D Face Decoding Over 2500FPS: Joint Texture and Shape Convolutional Mesh Decoders
* Dense 3D Interpretation of Image Sequences: A Variational Approach Using Anisotropic Diffusion
* Dense 3D motion capture for human faces
* Dense 3D motion capture from synchronized video streams
* Dense 3D Object Reconstruction from a Single Depth View
* Dense 3d Object Reconstruction Using Structured-light Scanner and Deep Learning
* Dense 3D point-cloud model using optical flow for a monocular reconstruction system
* Dense 3d Point Cloud Generation From UAV Images From Image Matching and Global Optimazation
* Dense 3D Point Cloud Reconstruction Using a Deep Pyramid Network
* Dense 3D Reconstruction from High Frame-Rate Video Using a Static Grid Pattern
* Dense 3D Reconstruction from Severely Blurred Images Using a Single Moving Camera
* Dense 3D reconstruction from specularity consistency
* Dense 3D Reconstruction from Wide Baseline Image Sets
* Dense 3D Reconstruction Method Using a Single Pattern for Fast Moving Object
* Dense 3D Reconstruction method using Coplanarities and Metric Constraints for Line Laser Scanning
* Dense 3D Reconstruction of Low Texture Surfaces Using an Energy Minimization Framework with Smoothness-Based Priors
* Dense 3D Reconstruction of Specular and Transparent Objects Using Stereo Cameras and Phase-Shift Method
* Dense 3D Reconstruction of Symmetric Scenes from a Single Image
* Dense 3d Reconstruction with a Hand-held Camera
* Dense 3D Reconstruction with an Uncalibrated Active Stereo System
* Dense 3D Reconstruction with an Uncalibrated Stereo System using Coded Structured Light
* Dense 3D Regression for Hand Pose Estimation
* Dense 3D SLAM in Dynamic Scenes Using Kinect
* Dense Active Appearance Models Using a Bounded Diameter Minimum Spanning Tree
* Dense and Accurate Spatio-temporal Multi-view Stereovision
* Dense and Deformable Motion Extraction in Dynamic Scenes Based on Hierarchical MRF Optimization in RGB-D Images
* Dense and Deformable Motion Segmentation for Wide Baseline Images
* Dense and Low-Rank Gaussian CRFs Using Deep Embeddings
* Dense and Occlusion-Robust Multi-view Stereo for Unstructured Videos
* Dense and shuffle attention U-Net for automatic skin lesion segmentation
* Dense and Small Object Detection in UAV Vision Based on Cascade Network
* Dense and Sparse Labeling With Multidimensional Features for Saliency Detection
* Dense and Sparse Optic Flows Aggregation for Accurate Motion Segmentation in Monocular Video Sequences
* Dense and Sparse Reconstruction Error Based Saliency Descriptor
* Dense appearance modeling and efficient learning of camera transitions for person re-identification
* Dense Attention-Guided Network for Boundary-Aware Salient Object Detection
* Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images
* Dense Attention Pyramid Networks for Multi-Scale Ship Detection in SAR Images
* Dense Attentive Feature Enhancement for Salient Object Detection
* Dense Batch Non-Rigid Structure from Motion in a Second
* Dense body part trajectories for human action recognition
* Dense but Efficient VideoQA for Intricate Compositional Reasoning
* Dense Bynet: Residual Dense Network for Image Super Resolution
* Dense Captioning of Natural Scenes in Spanish
* Dense Captioning with Joint Inference and Visual Context
* Dense Chained Attention Network for Scene Text Recognition
* Dense Class of Markov Random Fields and Associated Parameter Estimation, A
* Dense Classification and Implanting for Few-Shot Learning
* Dense computing task analysis of multi-view matching method and GPU implementation
* Dense connection decoding network for crisp contour detection
* Dense Connectivity Based Two-Stream Deep Feature Fusion Framework for Aerial Scene Classification
* Dense Continuous-Time Tracking and Mapping with Rolling Shutter RGB-D Cameras
* Dense Contrastive Learning for Self-Supervised Visual Pre-Training
* Dense Convolution for Semantic Segmentation
* Dense convolutional feature histograms for robust visual object tracking
* Dense Convolutional Recurrent Neural Network for Generalized Speech Animation
* Dense Correspondence and Optical Flow Estimation Using Gabor, Schmid and Steerable Descriptors
* Dense Correspondence Extraction in Difficult Uncalibrated Scenarios
* Dense correspondence finding for parametrization-free animation reconstruction from video
* Dense Correspondence of 3d Facial Point Clouds Via Neural Network Fitting
* Dense Correspondence of Skull Models by Automatic Detection of Anatomical Landmarks
* Dense Correspondence Using Non-Local DAISY Forest
* Dense Correspondences across Scenes and Scales
* Dense Corresponding Pixel Matching Using A Fixed Window with RGB Independent Information
* Dense Cross-Modal Correspondence Estimation With the Deep Self-Correlation Descriptor
* Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation
* Dense Crosstalk Feature Aggregation for Classification and Localization in Object Detection
* Dense Crowd Counting from Still Images with Convolutional Neural Networks
* Dense Decoder Shortcut Connections for Single-Pass Semantic Segmentation
* Dense Deconvolutional Network for Semantic Segmentation
* Dense Deep Unfolding Network with 3D-CNN Prior for Snapshot Compressive Imaging
* Dense Deformation Reconstruction via Sparse Coding
* Dense Depth-Guided Generalizable NeRF
* Dense Depth-Map Estimation and Geometry Inference from Light Fields via Global Optimization
* Dense depth acquisition via one-shot stripe structured light
* Dense Depth and Color Acquisition of Repetitive Motions
* Dense Depth Estimation in Monocular Endoscopy With Self-Supervised Learning Methods
* Dense depth estimation using adaptive structured light and cooperative algorithm
* Dense depth map generation using sparse depth data from normal flow
* Dense Depth Map Reconstruction from Sparse Measurements Using a Multilayer Conditional Random Field Model
* Dense Depth Map Reconstruction: A Minimization and Regularization Approach which Preserves Discontinuities
* Dense depth maps-based human pose tracking and recognition in dynamic scenes using ridge data
* Dense Depth Maps from 2-D Cepstrum Matching of Image Sequences
* Dense Depth Maps from Epipolar Images
* Dense Depth Maps from Low Resolution Time-of-Flight Depth and High Resolution Color Views
* Dense Depth Posterior (DDP) From Single Image and Sparse Range
* Dense Depth Priors for Neural Radiance Fields from Sparse Input Views
* Dense Dilated Convolutions' Merging Network for Land Cover Classification
* Dense Dilated Network for Video Action Recognition
* Dense Dilated Network With Probability Regularized Walk for Vessel Detection
* Dense Discontinuous Optical Flow via Contour-Based Segmentation
* Dense disparity estimation based on feature matching and IGMRF regularization
* Dense disparity estimation from omnidirectional images
* Dense Disparity Estimation Method using Color Segmentation and Energy Minimization, A
* Dense disparity estimation using Gabor filters and image derivatives
* Dense Disparity Map Estimation Respecting Image Discontinuities: A PDE and Scale-Space Based Approach
* Dense Disparity Map of Stereo Images, A
* Dense disparity map representations for stereo image coding
* Dense Disparity Maps from RGB and Sparse Depth Information Using Deep Regression Models
* Dense disparity maps from sparse disparity measurements
* Dense disparity maps in real-time with an application to augmented reality
* Dense Disparity Real-Time Stereo Vision Algorithm for Resource-Limited Systems
* Dense DTM generalization aided by roads extracted from LiDAR data
* Dense Dual-Attention Network for Light Field Image Super-Resolution
* Dense Dual-path Network for Real-time Semantic Segmentation
* Dense Elastic 3D Shape Matching
* Dense Encoder-Decoder Network with Feedback Connections for Pan-Sharpening, A
* Dense Estimation and Object-Based Segmentation of the Optical-Flow with Robust Techniques
* Dense Estimation of Fluid Flows
* Dense Estimation of Layer Motions in the Atmosphere
* Dense Estimation of Motion and Appearance in Layers, The
* Dense Estimation of Optical Flow Field Within the Mpeg-2 Compressed Domain
* Dense estimation of surface reflectance properties based on inverse global illumination rendering
* Dense estimation of surface reflectance properties of objects with interreflections
* Dense extreme inception network for edge detection
* Dense Extreme Inception Network: Towards a Robust CNN Model for Edge Detection
* Dense Face Alignment
* Dense Face Detection via High-level Context Mining
* Dense Feature Pyramid Network-Based Deep Learning Model for Road Marking Instance Segmentation Using MLS Point Clouds, A
* Dense Features for Semi-Dense Stereo Correspondence
* Dense femur reconstruction from two x-ray images using generic 3D model with twist correction
* dense flow-based framework for real-time object registration under compound motion, A
* Dense Fusion Classmate Network for Land Cover Classification
* Dense Gaussian Processes for Few-Shot Segmentation
* Dense gradient-based features (DEGRAF) for computationally efficient and invariant feature extraction in real-time applications
* Dense graph convolutional neural networks on 3D meshes for 3D object segmentation and classification
* Dense Haze Removal by Nonlinear Transformation
* Dense height map estimation from oblique aerial image sequences
* Dense Human Body Correspondences Using Convolutional Networks
* Dense Hybrid Recurrent Multi-view Stereo Net with Dynamic Consistency Checking
* Dense Image-Matching via Optical Flow Field Estimation and Fast-Guided Filter Refinement
* Dense image correspondence under large appearance variations
* Dense Image Labeling Using Deep Convolutional Neural Networks
* Dense Image Matching for Mars Express HRSC Imagery Based On Precise Point Prediction Method
* Dense Image Matching in Airborne Video Sequences
* Dense Image Matching vs. Airborne Laser Scanning: Comparison of two methods for deriving terrain models
* Dense Image Matching with Global and Local Statistical Criteria: A Variational Approach
* Dense Image Matching With Two Steps Of Expansion
* Dense Image Registration and Deformable Surface Reconstruction in Presence of Occlusions and Minimal Texture
* Dense In Dense: Training Segmentation from Scratch
* Dense Interaction Learning for Video-based Person Re-identification
* Dense interest features for video processing
* Dense interest points
* Dense interpolation of 3D points based on surface and color
* Dense Intrinsic Appearance Flow for Human Pose Transfer
* Dense Invariant Feature-Based Support Vector Ranking for Cross-Camera Person Reidentification
* Dense iterative contextual pixel classification using Kriging
* Dense Label Encoding for Boundary Discontinuity Free Rotation Detection
* Dense Labeling with User Interaction: an Example for Depth-Of-Field Simulation
* Dense Lagrangian motion estimation with occlusions
* Dense Learning based Semi-Supervised Object Detection
* dense light field reconstruction algorithm for four-dimensional optical flow constraint equation, A
* Dense light field reconstruction based on epipolar focus spectrum
* Dense Light Field Reconstruction from Sparse Sampling Using Residual Network
* Dense Light Transport for Relighting Computation Using Orthogonal Illumination Based on Walsh-Hadamard Matrix
* Dense Lightfield Disparity Estimation Using Total Variation Regularization
* Dense lightfield reconstruction from multi aperture cameras
* Dense linear-time correspondences for tracking
* Dense Matching Comparison Between Classical and Deep Learning Based Algorithms for Remote Sensing Data
* Dense Matching in High resolution oblique airborne images
* Dense matching of multiple wide-baseline views
* Dense matching of two views with large displacement
* Dense Matching Using Correlation: New Measures That Are Robust Near Occlusions
* Dense Material Segmentation Dataset for Indoor and Outdoor Scene Parsing, A
* Dense Medium Microwave Backscattering Model for the Remote Sensing of Oil Palm, A
* Dense Mirroring Surface Recovery from 1D Homographies and Sparse Correspondences
* Dense Modality Interaction Network for Audio-Visual Event Localization
* Dense Monocular Depth Estimation in Complex Dynamic Scenes
* Dense Motion Analysis in Fluid Imagery
* Dense Motion and Disparity Estimation Via Loopy Belief Propagation
* Dense motion estimation between distant frames: Combinatorial multi-step integration and statistical selection
* Dense Motion Estimation for Smoke
* Dense Motion Estimation Using Regularization Constraints on Local Parametric Models
* Dense Motion Field Estimation by 3-D Gabor Representation
* Dense Motion Field Estimation Using Spatial Filtering and Quasi Eigenfunction Approximations
* Dense Motion Fields for Digital Video Processing and Compression
* Dense motion segmentation of articulated objects in crowds
* Dense Multi-frame Optic Flow for Non-rigid Objects Using Subspace Constraints
* Dense Multi-Stereo Matching for High Quality Digital Elevation Models
* Dense multi-view homography estimation and plane segmentation
* Dense Multi-view Image Matching for DSM Generation From Satellite Images
* Dense Multiperson Tracking with Robust Hierarchical Linear Assignment
* Dense Multiple Stereo Matching Of Highly Overlapping Uav Imagery
* Dense multiple view stereo with general camera placement using tensor voting
* Dense Multiscale Motion Extraction from Cardiac Cine MR Tagging using HARP Technology
* Dense Neighborhoods on Affinity Graph
* Dense Nested Attention Network for Infrared Small Target Detection
* Dense Non-Rigid Motion Estimation in Sequences of 3D Images Using Differential Constraints
* Dense Non-Rigid Motion Tracking from a Sequence of Velocity Fields
* Dense Non-rigid Point-Matching Using Random Projections
* Dense Non-rigid Shape Correspondence Using Random Forests
* Dense Non-rigid Structure-from-Motion and Shading with Unknown Albedos
* Dense non-rigid structure-from-motion made easy: A spatial-temporal smoothness based solution
* Dense Non-rigid Structure from Motion
* Dense non-rigid surface registration using high-order graph matching
* Dense non-rigid visual tracking with a robust similarity function
* Dense Nonrigid Motion Estimation in Sequences of Medical Images Using Differential Constraints
* Dense Object Detection
* Dense Object Reconstruction with Semantic Priors
* Dense Oil Tank Detection and Classification via YOLOX-TR Network in Large-Scale SAR Images
* Dense one-shot 3D reconstruction by detecting continuous regions with parallel line projection
* Dense open-set recognition based on training with noisy negative images
* Dense Optic Flow with a Bayesian Occlusion Model
* Dense optical flow based background subtraction technique for object segmentation in moving camera environment
* Dense Optical Flow by Iterative Local Window registration
* Dense Optical Flow Estimation from the Monogenic Curvature Tensor
* Dense Optical Flow for the Reconstruction of Weakly Textured and Structured Surfaces: Application to Endoscopy
* Dense Optical Flow Prediction from a Static Image
* Dense Optical Flow Variation Based 3D Face Reconstruction from Monocular Video
* Dense optical flow via robust data fusion
* Dense Parameter Fields from Total Least Squares
* Dense Photometric Stereo by Expectation Maximization
* Dense photometric stereo reconstruction on many core GPUs
* Dense Photometric Stereo Using a Mirror Sphere and Graph Cut
* Dense Photometric Stereo Using Tensorial Belief Propagation
* Dense Photometric Stereo: A Markov Random Field Approach
* Dense Pipeline for 3D Reconstruction from Image Sequences, A
* Dense Pixel-Level Interpretation of Dynamic Scenes With Video Panoptic Segmentation
* Dense Pixel-wise Micro-motion Estimation of Object Surface by Using Low Dimensional Embedding of Laser Speckle Pattern
* Dense point-to-point correspondences between 3D faces using parametric remeshing for constructing 3D Morphable Models
* Dense point-to-point correspondences between 3D faces with large variations for constructing 3D Morphable Models
* Dense point cloud map construction based on stereo VINS for mobile vehicles
* Dense Point Diffusion for 3D Object Detection
* Dense Point Trajectories by GPU-Accelerated Large Displacement Optical Flow
* Dense Pose Transfer
* Dense prediction for text line segmentation in handwritten document images
* Dense Prediction with Attentive Feature Aggregation
* dense R-CNN multi-target instance segmentation model and its application in medical image processing, A
* Dense Range Flow from Depth and Intensity Data
* Dense Range Image Smoothing Using Adaptive Regularization
* Dense range images from sparse point clouds using multi-scale processing
* Dense real-time mapping of object-class semantics from RGB-D video
* Dense Receptive Field for Object Detection
* Dense Recognition of Spoken Languages
* Dense reconstruction by stereo-motion under perspective camera model
* Dense Reconstruction by Zooming
* Dense Reconstruction of Transparent Objects by Altering Incident Light Paths Through Refraction
* Dense reconstruction on-the-fly
* Dense Reconstruction Using 3D Object Shape Priors
* Dense registration of fingerprints
* Dense Regression Network for Video Grounding
* Dense Relation Distillation with Context-aware Aggregation for Few-Shot Object Detection
* Dense Relation Network: Learning Consistent and Context-Aware Representation for Semantic Image Segmentation
* Dense Relational Captioning: Triple-Stream Networks for Relationship-Based Captioning
* Dense Relational Image Captioning via Multi-Task Triple-Stream Networks
* Dense Reppoints: Representing Visual Objects with Dense Point Sets
* Dense Residual Pyramid Networks for Salient Object Detection
* Dense Rigid Reconstruction from Unstructured Discontinuous Video
* Dense saliency-based spatiotemporal feature points for action recognition
* Dense sampling and detail enhancement network: Improved small object detection based on dense sampling and detail enhancement
* Dense sampling and fast encoding for 3D model retrieval using bag-of-visual features
* Dense Sampling Low-Level Statistics of Local Features
* Dense sampling of 3D color transfer functions using HDR photography
* DENSE sampling of features for image retrieval
* Dense Scale Selection Over Space, Time, and Space-Time
* Dense scene 3D reconstruction using color based sampling with fusion of image and sparse laser
* Dense Scene Flow Based on Depth and Multi-channel Bilateral Filter
* Dense Scene Reconstruction from Spherical Light Fields
* Dense Segmentation-Aware Descriptors
* Dense Semantic 3D Reconstruction
* Dense Semantic and Topological Correspondence of 3D Faces without Landmarks
* Dense Semantic Correspondence Where Every Pixel is a Classifier
* Dense semantic embedding network for image captioning
* Dense Semantic Image Segmentation with Objects and Attributes
* Dense Semantic Labeling of Subdecimeter Resolution Images With Convolutional Neural Networks
* Dense Semantic Labeling of Very-High-Resolution Aerial Imagery and LiDAR with Fully-Convolutional Neural Networks and Higher-Order CRFs
* Dense Semantic Labeling with Atrous Spatial Pyramid Pooling and Decoder for High-Resolution Remote Sensing Imagery
* Dense Semantics-Assisted Networks for Video Action Recognition
* Dense Semi-rigid Scene Flow Estimation from RGBD Images
* Dense Shape and Motion from Region Correspondences by Factorization
* Dense shape correspondences using spectral high-order graph matching
* Dense shape reconstruction of a moving object under arbitrary, unknown lighting
* Dense Siamese Network for Dense Unsupervised Learning
* Dense SIFT and Gabor descriptors-based face representation with applications to gender recognition
* Dense SIFT for ghost-free multi-exposure fusion
* Dense single-shot 3D scanning via stereoscopic fringe analysis
* Dense small face detection based on regional cascade multi-scale method
* Dense spatio-temporal features for non-parametric anomaly detection and localization
* Dense spatio-temporal motion segmentation for tracking multiple self-occluding people
* Dense spatio-temporal stereo matching for intelligent driving systems
* Dense specular shape from multiple specular flows
* Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images
* Dense Stereo-Based Robust Vertical Road Profile Estimation Using Hough Transform and Dynamic Programming
* Dense Stereo-Based ROI Generation for Pedestrian Detection
* Dense stereo based on the uniqueness constraint
* Dense Stereo by Triangular Meshing and Cross Validation
* Dense stereo correspondence using polychromatic block matching
* Dense Stereo Correspondence with Contrast Context Histogram, Segmentation-Based Two-Pass Aggregation and Occlusion Handling
* Dense Stereo Matching Based on Multiobjective Fitness Function: A Genetic Algorithm Optimization Approach for Stereo Correspondence
* Dense Stereo Matching from Separated Views of Wide-Baseline Images
* Dense stereo matching method using a quarter of wavelet transform
* Dense Stereo Matching over the Panum Band
* Dense Stereo Matching Strategy for Oblique Images That Considers the Plane Directions in Urban Areas
* Dense stereo matching using kernel maximum likelihood estimation
* Dense Stereo Matching Using Two-Pass Dynamic Programming with Generalized Ground Control Points, A
* Dense Stereo Matching with Growing Aggregation and Neural Learning
* Dense Stereo Range Sensing with Marching Pseudo-Random Patterns
* Dense stereo using pivoted dynamic programming
* Dense Stereomatching Algorithm Performance for View Prediction and Structure Reconstruction
* Dense structural learning for infrared object tracking at 200+ Frames per Second
* Dense Structure-from-Motion: An Approach Based on Segment Matching
* Dense Structure from a Dense Optical Flow Sequence
* Dense Structure Inference for Object Classification in Aerial LIDAR Dataset
* dense subgraph based algorithm for compact salient image region detection, A
* Dense subgraph mining with a mixed graph model
* Dense Subgraph Partition of Positive Hypergraphs
* Dense SURF and Triangulation Based Spatio-temporal Feature for Action Recognition, A
* Dense Surface from Infrared Stereo
* Dense Surface Patches from Thousands of Pose Iamges
* Dense Surface Point Distribution Models of the Human Face
* Dense Teacher: Dense Pseudo-Labels for Semi-supervised Object Detection
* Dense Tracking and Mapping with a Quadrocopter
* Dense Traffic Detection at Highway-Railroad Grade Crossings
* Dense Trajectories and Motion Boundary Descriptors for Action Recognition
* Dense true motion field compensation for video coding
* Dense Two-Frame Stereo Correspondence by Self-organizing Neural Network
* Dense Variational Reconstruction of Non-rigid Surfaces from Monocular Video
* Dense versus Sparse Approaches for Estimating the Fundamental Matrix
* Dense video captioning based on local attention
* Dense Video Captioning Using Graph-Based Sentence Summarization
* Dense Video Captioning With Early Linguistic Information Fusion
* Dense View Interpolation on Mobile Devices Using Focal Stacks
* Dense Voxel Fusion for 3D Object Detection
* Dense wide-baseline disparities from conventional stereo for immersive videoconferencing
* Dense Wide-Baseline Scene Flow from Two Handheld Video Cameras
* Dense, accurate optical flow estimation with piecewise parametric model
* Dense, Auto-Calibrating Visual Odometry from a Downward-Looking Camera
* Dense, Robust, and Accurate Motion Field Estimation from Stereo Image Sequences in Real-Time
* Dense, Time-varying Range Data Acquisition from Stereo Pairs of Thermal and Intensity Images
* Dense/Parametric Estimation of Fluid Flows
* DenseASPP for Semantic Segmentation in Street Scenes
* DenseATT-Net: Densely-Connected Neural Network with Intensive Attention Modules for 3D ABUS Mass Segmentation
* DenseCap: Fully Convolutional Localization Networks for Dense Captioning
* DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting
* Denseformer: A dense transformer framework for person re-identification
* DenseFuse: A Fusion Approach to Infrared and Visible Images
* DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
* DenseGAP: Graph-Structured Dense Correspondence Learning with Anchor Points
* DenseHybrid: Hybrid Anomaly Detection for Dense Open-Set Recognition
* Densely-packed Object Detection via Hard Negative-Aware Anchor Attention
* Densely Annotated Photorealistic Virtual Dataset Generation for Abnormal Event Detection
* Densely connected convolutional network block based autoencoder for panorama map compression
* Densely Connected Convolutional Networks
* Densely connected convolutional transformer for single image dehazing
* Densely connected deconvolutional network for semantic segmentation
* Densely connected deep U-Net for abdominal multi-organ segmentation
* Densely Connected Discriminative Correlation Filters for Visual Tracking
* Densely connected graph convolutional network for joint semantic and instance segmentation of indoor point clouds
* Densely Connected Large Kernel Convolutional Network for Semantic Membrane Segmentation in Microscopy Images
* Densely connected multidilated convolutional networks for dense prediction tasks
* Densely connected network with improved pyramidal bottleneck residual units for super-resolution
* Densely Connected Pyramid Dehazing Network
* Densely Connected Pyramidal Dilated Convolutional Network for Hyperspectral Image Classification
* Densely Connected Search Space for More Flexible Neural Architecture Search
* Densely Connected Single-Shot Detector
* Densely Connected Stacked U-network for Filament Segmentation in Microscopy Images
* Densely Constrained Depth Estimator for Monocular 3D Object Detection
* Densely Distilled Flow-Based Knowledge Transfer in Teacher-Student Framework for Image Classification
* Densely Guided Knowledge Distillation using Multiple Teacher Assistants
* Densely Residual Laplacian Super-Resolution
* Densely Residual Network with Dual Attention for Hyperspectral Reconstruction from RGB Images
* Densely Self-guided Wavelet Network for Image Denoising
* Densely Semantic Enhancement for Domain Adaptive Region-Free Detectors
* Densely Semantically Aligned Person Re-Identification
* DenseNet-CTC: An end-to-end RNN-free architecture for context-free string recognition
* Densenet Based Robust Face Detection Framework, A
* DenseNet for dense flow
* DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing
* DensePose 3D: Lifting Canonical Surface Maps of Articulated Objects to the Third Dimension
* DensePose: Dense Human Pose Estimation in the Wild
* DenseRaC: Joint 3D Pose and Shape Estimation by Dense Render-and-Compare
* DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild
* DenseTNT: End-to-end Trajectory Prediction from Dense Goal Sets
* DenseUNet: densely connected UNet for electron microscopy image segmentation
* Densification of Semi-Dense Reconstructions for Novel View Generation of Live Scenes
* Densification of Sparse Optical Flow Using Edges Information
* Densifying and Optimizing the Water Level Series for Large Lakes from Multi-Orbit ICESat-2 Observations
* Densifying Distance Spaces for Shape and Image Retrieval
* Densifying Supervision for Fine-Grained Visual Comparisons
* Densities and Maximum Likelihood Estimation of Matching Constraints
* Densities of Projective Invariants
* Density-Adaptive Kernel based Re-Ranking for Person Re-Identification
* Density-aware and background-aware network for crowd counting via multi-task learning
* Density-Aware Curriculum Learning for Crowd Counting
* Density-Aware Feature Embedding for Face Clustering
* Density-Aware Graph for Deep Semi-Supervised Visual Recognition
* Density-Aware Haze Image Synthesis by Self-Supervised Content-Style Disentanglement
* Density-Aware Multi-Task Learning for Crowd Counting
* Density-Aware Part-Based Object Detection with Positive Examples
* Density-Aware Pedestrian Proposal Networks for Robust People Detection in Crowded Scenes
* Density-aware person detection and tracking in crowds
* Density-Aware Single Image De-raining Using a Multi-stream Dense Network
* Density-Based Affinity Propagation Tensor Clustering for Intelligent Fault Diagnosis of Train Bogie Bearing
* Density-Based Algorithm for the Detection of Individual Trees from LiDAR Data, A
* Density-Based Approach for Leaf Area Index Assessment in a Complex Forest Environment Using a Terrestrial Laser Scanner, A
* density-based approach for text extraction in images, A
* density-based cluster validity approach using multi-representatives, A
* Density-Based Clustering for 3D Object Detection in Point Clouds
* Density-Based Clustering Method for Urban Scene Mobile Laser Scanning Data Segmentation, A
* Density-Based Clustering with Geographical Background Constraints Using a Semantic Expression Model
* Density-Based Data Reduction Algorithm for Robust Estimators, A
* density-based enhancement to dominant sets clustering, A
* Density-based hierarchical clustering for streaming data
* Density-based label placement
* Density-Based Multifeature Background Subtraction with Support Vector Machine
* Density-Based Multiscale Data Condensation
* Density-based region search with arbitrary shape for object localisation
* Density-based retrieval from high-similarity image databases
* Density-Based Spatial Clustering and Ordering Points Approach for Characterizations of Tourist Behaviour
* Density-based Undersampling Approach to Intrusion Detection, A
* Density-Based Vehicle Counting with Unsupervised Scale Selection
* Density-Controlled Sampling of Parametric Surfaces Using Adaptive Space-Filling Curves
* Density-Equalizing Maps for Simply Connected Open Surfaces
* Density-Guided Label Smoothing for Temporal Localization of Driving Actions
* Density-induced margin support vector machines
* Density-Peak-Based Clustering Method for Multiple Densities Dataset, A
* Density-preserving Deep Point Cloud Compression
* Density-Preserving Hierarchical EM Algorithm: Simplifying Gaussian Mixture Models for Approximate Inference
* Density-ratio based clustering for discovering clusters with varying densities
* Density Adaptive Point Set Registration
* Density and Motion Estimation of People in Crowded Environments based on Aerial Image Sequences
* Density aware anomaly detection in crowded scenes
* Density Based Cluster Extension and Dominant Sets Clustering
* Density Based Clustering
* density based method for automatic hairstyle discovery and recognition, A
* Density Based Recovery of Urban Power Lines Using Vehicle-Mounted LiDAR
* Density Division Face Clustering Based on Graph Convolutional Networks
* Density Driven Diffusion
* Density Enhancement-Based Long-Range Pedestrian Detection Using 3-D Range Data
* Density estimation-based information fusion for multiple motion computation
* Density estimation using a new AIC-type criterion and the EM algorithm for a linear combination of Gaussians
* Density Estimation Using Mixtures of Mixtures of Gaussians
* Density estimation using modified expectation-maximization algorithm for a linear combination of gaussians
* Density Estimators of Gaussian Type on Closed Riemannian Manifolds
* Density evaluation and tracking of multiple objects from image sequences
* Density Function Interpretation of Subspace Cassification Methods
* Density Map-based vehicle counting in remote sensing images with limited resolution
* Density Map Guided Object Detection in Aerial Images
* Density Map Regression Guided Detection Network for RGB-D Crowd Counting and Localization
* Density Normalization in Density Peak Based Clustering
* Density Peak-Based Noisy Label Detection for Hyperspectral Image Classification
* Density peak clustering based on relative density relationship
* Density peaks clustering algorithm based on fuzzy and weighted shared neighbor for uneven density datasets
* Density peaks clustering based on balance density and connectivity
* Density peaks clustering based on density backbone and fuzzy neighborhood
* Density Propagation for Surface Tracking
* Density Reconstruction Using Arbitrary Ray Sampling Schemes
* DensityTransfer: A Data Driven Approach for Imputing Electronic Health Records
* DensSiam: End-to-End Densely-Siamese Network with Self-Attention Model for Object Tracking
* Dent Detection in Car Bodies
* Dental Biometrics: Alignment and Matching of Dental Radiographs
* Dental biometrics: Human identification based on teeth and dental works in bitewing radiographs
* Dental Biometrics: Human Identification Using Dental Radiographs
* Dental cyst delineation using live wire algorithm
* Dental cyst diagnosis using texture analysis
* Dental Identification, Dental Biometrics
* Dental radiographs and photographs in human forensic identification
* Dental X-Ray Image Segmentation and Object Detection Based on Phase Congruency
* DeOccNet: Learning to See Through Foreground Occlusions in Light Fields
* DeOldify: A Review and Implementation of an Automatic Colorization Method
* DEPARA: Deep Attribution Graph for Deep Knowledge Transferability
* Department of Optical Information Systems (OS): Sensors and Instruments for Space- and Airborne Applications
* DePass: A secure hash-based authentication scheme
* DepecheMood++: A Bilingual Emotion Lexicon Built Through Simple Yet Powerful Techniques
* Dependable Content Distribution in D2D-Based Cooperative Vehicular Networks: A Big Data-Integrated Coalition Game Approach
* Dependable information processing method for reliable human-robot interactions in smart city applications
* Dependence-Aware Edge Intelligent Function Offloading for 6G-Based IoV
* Dependence-Aware Feature Coding for Person Re-Identification
* Dependence-biased clustering for variable selection with random forests
* Dependence characteristics of face recognition algorithms
* Dependence Models for Searching Text in Document Images
* Dependence of C-Band Backscatter on Ground Temperature, Air Temperature and Snow Depth in Arctic Permafrost Regions
* Dependence of chromatic responses in V1 on visual field eccentricity and spatial frequency: an fMRI study
* Dependence of CWSI-Based Plant Water Stress Estimation with Diurnal Acquisition Times in a Nectarine Orchard
* Dependence of Sea SAR Image Distribution Parameters on Surface Wave Characteristics, The
* Dependence of the Bidirectional Reflectance Distribution Function Factor fnof' on the Particulate Backscattering Ratio in an Inland Lake
* Dependence of the Hydration of the Lunar Surface on the Concentrations of TiO2, Plagioclase, and Spinel
* Dependence on the display methods of change in accommodation and convergence when a target moves along the depth direction
* Dependence
* Dependency-Aware Attention Control for Unconstrained Face Recognition with Image Sets
* Dependency-based Framework of Combining Multiple Experts for the Recognition of Unconstrained Handwritten Numerals, A
* Dependency-based semantic role labeling using sequence labeling with a structural SVM
* Dependency Channel Modeling for a LDPC-Based Wyner-Ziv Video Compression Scheme
* Dependency Matrix to Assist in the Visualization of Geospatial Image Quality, A
* Dependency of Optimal Parameters of the Iris Template On Image Quality And Border Detection Error
* Dependent binary relevance models for multi-label classification
* Dependent Component Analysis: A Hyperspectral Unmixing Algorithm
* Dependent Joint Bit Allocation for H.264/AVC Statistical Multiplexing Using Convex Relaxation
* Dependent Multiple Cue Integration for Robust Tracking
* Dependent nonparametric bayesian group dictionary learning for online reconstruction of dynamic MR images
* Dependent R/D Modeling Techniques and Joint T-Q Layer Bit Allocation for H.264/SVC
* Dependent random access point pictures in HEVC
* Dependent Scalar Quantization For Neural Network Compression
* Dependent scalar quantization of color images
* Dependently Coupled Principal Component Analysis for Bivariate Inversion Problems
* Depiction Inviariant Object Matching
* Depletion-Mode GaN HEMT Q-Spoil Switches for MRI Coils
* Deploying Image Deblurring across Mobile Devices: A Perspective of Quality and Latency
* Deployment Conscious Automatic Surface Crack Detection
* Deployment of Charging Stations for Drone Delivery Assisted by Public Transportation Vehicles
* Deployment of Deep Neural Networks for Object Detection on Edge AI Devices with Runtime Optimization
* Deployment Optimization for Shared e-Mobility Systems With Multi-Agent Deep Neural Search
* Depolarization Ratio Anomaly Detector to Identify Icebergs in Sea Ice Using Dual-Polarization SAR Images, A
* Depolarization Ratio Profiles Calibration and Observations of Aerosol and Cloud in the Tibetan Plateau Based on Polarization Raman Lidar
* Depolarized Scattering of Rough Surface With Dielectric Inhomogeneity and Spatial Anisotropy
* Deposits' Morphology of the 2018 Hokkaido Iburi-Tobu Earthquake Mass Movements from LiDAR & Aerial Photographs
* Depression Analysis, PTSD, Mental Health
* Depression Detection Based on Deep Distribution Learning
* Depression Detection Based on Reaction Time and Eye Movement
* Depression Detection by Combining Eye Movement with Image Semantics
* Depression Level Prediction Using Deep Spatiotemporal Features and Multilayer Bi-LTSM
* DEPT: Depth Estimation by Parameter Transfer for Single Still Images
* Depth-adapted CNN for RGB-D Cameras
* Depth-Adaptive Computational Policies for Efficient Visual Tracking
* Depth-Adaptive Deep Neural Network for Semantic Segmentation
* Depth-adaptive superpixels
* Depth-adaptive supervoxels for RGB-D video segmentation
* Depth-Assisted Demosaicing for Light Field Data in Layered Object Space
* Depth-assisted error concealment for intra frame slices in 3D video
* Depth-Assisted Frame Rate Up-Conversion for Stereoscopic Video
* Depth-Assisted Joint Detection Network for Monocular 3d Object Detection
* Depth-assisted nonlocal means hole filling for novel view synthesis
* Depth-assisted rectification for real-time object detection and pose estimation
* Depth-assisted RefineNet for Indoor Semantic Segmentation
* Depth-assisted stereo video enhancement using graph-based approaches
* Depth-Attentional Features for Single-Image Rain Removal
* Depth-aware 3D video filtering targetting multiview video plus depth compression
* Depth-aware blending of smoothed images for Bokeh effect generation
* Depth-Aware CNN for RGB-D Segmentation
* Depth-Aware Generative Adversarial Network for Talking Head Video Generation
* Depth-Aware Image Seam Carving
* Depth-aware image vectorization and editing
* Depth-aware lightweight network for RGB-D salient object detection
* Depth-Aware Mirror Segmentation
* Depth-Aware Motion Deblurring Using Loopy Belief Propagation
* Depth-aware motion deblurring
* Depth-Aware Motion Magnification
* Depth-Aware Multi-Grid Deep Homography Estimation With Contextual Correlation
* Depth-Aware Multi-object Tracking in Spherical Videos
* Depth-Aware Multi-Person 3D Pose Estimation With Multi-Scale Waterfall Representations
* Depth-aware object instance segmentation
* Depth-Aware Saliency Detection Using Convolutional Neural Networks
* Depth-Aware Salient Object Detection and Segmentation via Multiscale Discriminative Saliency Fusion and Bootstrap Learning
* Depth-aware salient object detection using anisotropic center-surround difference
* Depth-Aware Stereo Video Retargeting
* Depth-aware total variation regularization for underwater image dehazing
* Depth-Aware Video Abstraction
* Depth-Aware Video Frame Interpolation
* Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals
* Depth-based 3D hand pose tracking
* Depth-based 3D human pose refinement: Evaluating the refinet framework
* Depth-based Analyses of Landscape Paintings and Photographs According to Itten's Contrasts
* Depth-based color stereo images retrieval using joint multivariate statistical models
* Depth-based complexity traces of graphs
* Depth-based detection with region comparison features
* Depth-based direct mode for multiview video coding
* Depth-based distributed multi-view video coding with hierarchical Wyner-Ziv frames
* Depth-based end-to-end deep network for human action recognition
* Depth-based face recognition using local quantized patterns adapted for range data
* Depth-Based Hand Pose Estimation: Data, Methods, and Challenges
* Depth-Based Hand Pose Estimation: Methods, Data, and Challenges
* Depth-based hypergraph complexity traces from directed line graphs
* Depth-based image completion for view synthesis
* Depth-based image mosaicing for both static and dynamic scenes
* Depth-based image processing for 3d video rendering applications
* Depth-based image registration via three-dimensional geometric segmentation
* Depth-based In-bed Human Pose Estimation with Synthetic Dataset Generation and Deep Keypoint Estimation
* Depth-Based Indexing and Retrieval of Photographic Images
* Depth-based inpainting for disocclusion filling
* Depth-based inter-view prediction of motion vectors for improved multiview video coding
* Depth-based local feature selection for mobile visual search
* Depth-Based Multiview Distributed Video Coding
* Depth-based patch scaling for content-aware stereo image completion
* Depth-based prediction mode for 3D video coding
* Depth-Based Real-Time Hand Tracking with Occlusion Handling Using Kalman Filter and DAM-Shift
* Depth-Based Segmentation
* Depth-based subgraph convolutional auto-encoder for network representation learning
* Depth-based Subgraph Convolutional Neural Networks
* Depth-Based Target Segmentation for Intelligent Vehicles: Fusion of Radar and Binocular Stereo
* Depth-Based Texture Coding in AVC-Compatible 3D Video Coding
* Depth-based weighted bi-prediction for video plus depth map coding
* Depth-Bin-Based Graphical Model for Fast View Synthesis Distortion Estimation, A
* Depth-Buffer based Navigation
* Depth-buffer targeting for spatially accurate 3-D visualization of medical images
* Depth-Color Fusion Strategy for 3-D Scene Modeling With Kinect
* Depth-conditioned Dynamic Message Propagation for Monocular 3D Object Detection
* Depth-Cooperated Trimodal Network for Video Salient Object Detection
* Depth-Discrepancy-Compensated Inter-Prediction With Adaptive Segment Management for Multiview Depth Video Coding
* Depth-Distilled Multi-Focus Image Fusion
* Depth-embedded multiple pooling for image classification
* Depth-Encoded Hough Voting for Joint Object Detection and Shape Recovery
* Depth-enhanced compression for 3D video
* Depth-enhanced feature pyramid network for occlusion-aware verification of buildings from oblique images
* Depth-Estimation-Free Condition for Projective Factorization and Its Application to 3D Reconstruction
* Depth-first K-nearest neighbor finding using the MaxNearestDist estimator
* Depth-First Picture Expression Viewed from Digital Picture Processing
* Depth-Focused Interior Echo Imaging
* Depth-from-motion estimation based on a multiscale analysis of motion constraint equation validity
* Depth-From-Recognition: Inferring Meta-data by Cognitive Feedback
* Depth-guided adaptive contrast enhancement using 2D histograms
* Depth-Guided Dense Dynamic Filtering Network for Bokeh Effect Rendering
* Depth-Guided Disocclusion Inpainting of Synthesized RGB-D Images
* Depth-guided inpainting algorithm for Free-Viewpoint Video
* Depth-Guided Inpainting Scheme Based on Foreground Depth-Layer Removal for High Quality 2D to 3D Video Conversion, A
* Depth-Guided Optimization of Neural Radiance Fields for Indoor Multi-View Stereo
* Depth-Guided Pixel Dimming With Saliency-Oriented Power-Saving Transformation for Stereoscope AMOLED Displays
* Depth-Guided Progressive Network for Object Detection
* Depth-guided saliency detection via boundary information
* Depth-Guided Sparse Structure-from-Motion for Movies and TV Shows
* Depth-guided view synthesis for light field reconstruction from a single image
* Depth-Hand: 3D Hand Keypoint Detection With Dense Depth Estimation
* Depth-image-based rendering for 3DTV service over T-DMB
* Depth-image-based rendering with spatial and temporal texture synthesis for 3DTV
* Depth-Image Compression Based on an R-D Optimized Quadtree Decomposition for the Transmission of Multiview Images
* Depth-Image Representation Employing Meshes for Intermediate-View Rendering and Coding
* Depth-Induced Multi-Scale Recurrent Attention Network for Saliency Detection
* Depth-Map-Based Scene Analysis for Active Navigation in Virtual Angioscopy
* depth-map approach for automatic mice behavior recognition, A
* Depth-map completion for large indoor scene reconstruction
* Depth-map driven planar surfaces detection
* Depth-map merging for Multi-View Stereo with high resolution images
* Depth-of-Field and Coded Aperture Imaging on XSlit Lens
* Depth-of-focus imaging process method
* Depth-Preserving Stereo Image Retargeting Based on Pixel Fusion
* Depth-Preserving Warping for Stereo Image Retargeting
* Depth-Projection-Map-Based Bag of Contour Fragments for Robust Hand Gesture Recognition
* Depth-Quality-Aware Salient Object Detection
* Depth-Reliability-Based Stereo-Matching Algorithm and Its VLSI Architecture Design
* Depth-resolved and auto-focus imaging through scattering layer with wavelength compensation
* Depth-Specific Soil Electrical Conductivity and NDVI Elucidate Salinity Effects on Crop Development in Reclaimed Marsh Soils
* Depth-Stretch: Enhancing Depth Perception Without Depth
* Depth-supervised NeRF: Fewer Views and Faster Training for Free
* Depth-supported real-time video segmentation with the Kinect
* Depth-weighted correlation method for visual tracking with occlusion detection
* Depth-weighted group-wise principal component analysis for video foreground/background separation
* Depth-wise image inpainting
* Depth-Wise Separable Convolution Neural Network with Residual Connection for Hyperspectral Image Classification
* Depth-Wise Separable U-Net Architecture with Multiscale Filters to Detect Sinkholes, A
* Depth-Wise Split Unit Coding Order for Video Compression
* Depth Acquisition from Density Modulated Binary Patterns
* Depth acquisition with the combination of structured light and deep learning stereo matching
* Depth Analogy: Data-Driven Approach for Single Image Depth Estimation Using Gradient Samples
* Depth and angular resolution in plenoptic cameras
* Depth and Appearance for Mobile Scene Analysis
* Depth and Arbitrary Motion Deblurring Using Integrated PSF
* Depth and Deblurring from a Spectrally-Varying Depth-of-Field
* Depth and depth-color coding using shape-adaptive wavelets
* Depth and Flow from Motion Energy
* Depth and Image Recovery Using a MRF Model
* Depth and Image Restoration from Light Field in a Scattering Medium
* Depth and Intensity Based Edge Detection in Time-of-Flight Images
* Depth And Motion Analysis Machine, The
* Depth and Motion Cues with Phosphene Patterns for Prosthetic Vision
* Depth and Range for View Synthesis, Image Based Rendering, IBR
* Depth and rate estimation for chest compression CPR with smartphone
* Depth and Scene Flow from a Single Moving Camera
* Depth and Shape form Shading Using the Photometric Stereo Method
* Depth and Shape from Focus, Changing Camera Parameters
* Depth and Skeleton Associated Action Recognition without Online Accessible RGB-D Cameras
* Depth and surface normal estimation from monocular images using regression on deep features and hierarchical CRFs
* Depth and Transient Imaging with Compressive SPAD Array Cameras
* Depth and Video Segmentation Based Visual Attention for Embodied Question Answering
* Depth Assisted Adaptive Workload Balancing for Parallel View Synthesis
* Depth Assisted Object Segmentation in Multi-View Video
* Depth Assisted Occlusion Handling in Video Object Tracking
* Depth augmented stereo panorama for cinematic virtual reality with focus cues
* Depth Auto-calibration for Range Cameras Based on 3d Geometry Reconstruction
* Depth Based Object Detection from Partial Pose Estimation of Symmetric Objects
* Depth based object prioritisation for 3D video communication over Wireless LAN
* Depth based recovery of human facial features from video sequences
* Depth based two-step disparity vector derivation for AVS2-3D
* Depth Based View Synthesis with Artifacts Removal for FTV
* Depth Based, Human Activity Recognition
* Depth Based, Stereo, Hand Pose, Hand Posture, Hand Shape
* Depth Camera Based Fall Recognition System for the Elderly, A
* Depth Camera Based on Color-Coded Aperture
* Depth camera image processing and applications
* Depth camera tracking with contour cues
* Depth Cameras On UAVS: A First Approach
* Depth coded shape from focus
* Depth Coding Based on Depth-Texture Motion and Structure Similarities
* Depth Coding Using a Boundary Reconstruction Filter for 3-D Video Systems
* Depth coding using depth discontinuity prediction and in-loop boundary reconstruction filtering
* Depth Coefficients for Depth Completion
* Depth Compensation Model for Gaze Estimation in Sport Analysis
* Depth Completion Auto-Encoder
* Depth Completion From Sparse LiDAR Data With Depth-Normal Constraints
* Depth completion towards different sensor configurations via relative depth map estimation and scale recovery
* Depth Completion Using a View-constrained Deep Prior
* Depth Completion Using Laplacian Pyramid-based Depth Residuals
* Depth Completion using Plane-Residual Representation
* Depth Completion via A Dual-Fusion Method
* Depth Completion via Deep Basis Fitting
* Depth Completion with Twin Surface Extrapolation at Occlusion Boundaries
* Depth Completion, Point Cloud Completion
* Depth Computations from Polyhedral Images
* Depth Contours and Coastline Generalization for Harbour and Approach Nautical Charts
* Depth Contrast: Self-supervised Pretraining on 3dpm Images for Mining Material Classification
* Depth Corrected Edge Detection of Magnetic Data
* Depth Correction for Depth Camera From Planarity
* Depth Correction for Time-Of-Flight Camera Using Depth Distortion Dependency on Pulse Width of Irradiated Light
* Depth correction: Methods for approximating depth information in web camera depth maps
* Depth Cue Enhancement and Guidance Network for RGB-D Salient Object Detection
* Depth cue selection for 3D television
* Depth Data-Driven Real-Time Articulated Hand Pose Recognition
* Depth data and fusion of feature descriptors for static gesture recognition
* Depth data assisted structure-from-motion parameter optimization and feature track correction
* Depth Data Error Modeling of the ZED 3D Vision Sensor from Stereolabs
* Depth Data Segmentation Using Robust Estimation in a Hierarchical Data Structure
* Depth Dependent Quality Metric for Evaluation of Coded Integral Imaging Based 3D-Images, A
* Depth Descent Synchronization in SO(D)
* Depth Discontinuities by Pixel-to-Pixel Stereo
* Depth distillation: unsupervised metric depth estimation for UAVs by finding consensus between kinematics, optical flow and deep learning
* Depth distortion under calibration uncertainty
* Depth dithering based on texture edge-assisted classification
* Depth Dropout: Efficient Training of Residual Convolutional Neural Networks
* Depth edge based trilateral filter method for stereo matching
* Depth Embedded Recurrent Predictive Parsing Network for Video Scenes
* Depth enhancement based on hybrid geometric hole filling strategy
* Depth Enhancement by Fusion for Passive and Active Sensing
* Depth enhancement using RGB-D guided filtering
* Depth Enhancement via Low-Rank Matrix Completion
* Depth enhancement with improved exemplar-based inpainting and joint trilateral guided filtering
* Depth estimation and camera calibration of a focused plenoptic camera for visual odometry
* Depth estimation and depth enhancement by diffusion of depth features
* Depth Estimation and Image Restoration Using Defocused Stereo Pairs
* Depth Estimation and Inpainting with an Unconstrainted Camera
* Depth Estimation and Specular Removal for Glossy Surfaces Using Point and Line Consistency with Light-Field Cameras
* Depth Estimation Based on Maximization of a Posteriori Probability
* Depth estimation based on multiview matching with depth/color segmentation and memory efficient Belief Propagation
* Depth estimation by analyzing intensity distribution for light-field cameras
* Depth Estimation by Combining Binocular Stereo and Monocular Structured-Light
* Depth estimation by combining stereo matching and coded aperture
* Depth Estimation by Finding Best Focused Points Using Line Fitting
* Depth Estimation by Parameter Transfer With a Lightweight Model for Single Still Images
* Depth estimation for advancing intelligent transport systems based on self-improving pyramid stereo network
* Depth estimation for automotive with tilted optics imaging
* Depth Estimation for Glossy Surfaces with Light-Field Cameras
* Depth estimation for hand-held light field cameras under low light conditions
* Depth estimation for outdoor image using couple dictionary learning and region detection
* Depth Estimation for Synthesizing Arbitrary View Images by Random Access IBR Sensor Array
* Depth estimation for underwater images from single view image
* Depth Estimation for View Synthesis in Multiview Video Coding
* Depth Estimation from a Single Image of Blast Furnace Burden Surface Based on Edge Defocus Tracking
* Depth Estimation from Defocus Images Based on Oriented Heat-Flows
* Depth estimation from focus and disparity
* Depth Estimation from Image Structure
* Depth Estimation From Light Field Using Graph-Based Structure-Aware Analysis
* Depth Estimation from Monocular Images and Sparse Radar Using Deep Ordinal Regression Network
* Depth estimation from monocular infrared images based on BP neural network model
* Depth Estimation From Single Image And Semantic Prior
* Depth estimation from stereo cameras through a curved transparent medium
* Depth Estimation from Stereoscopic 360-Degree Video
* Depth Estimation in Light Field Camera Arrays Based on Multi-Stereo Matching and Belief Propagation
* Depth Estimation Network for Dual Defocused Images with Different Depth-of-Field
* Depth Estimation of Face Images Using the Nonlinear Least-Squares Model
* Depth estimation of light field data from pinhole-masked DSLR cameras
* Depth Estimation of Non-Rigid Objects for Time-Of-Flight Imaging
* Depth Estimation of Semi-submerged Objects Using a Light-Field Camera
* Depth estimation of stereo matching based on microarray camera
* Depth Estimation of Supervised Monocular Images Based on Semantic Segmentation
* Depth Estimation Through a Generative Model of Light Field Synthesis
* Depth Estimation Using a Self-Supervised Network Based on Cross-Layer Feature Fusion and the Quadtree Constraint
* Depth Estimation Using a Sliding Camera
* Depth Estimation Using an Infrared Dot Projector and an Infrared Color Stereo Camera
* Depth Estimation using Defocused Stereo Image Pairs
* Depth estimation using modified cost function for occlusion handling
* Depth estimation using stereo fish-eye lenses
* Depth Estimation Using Structured Light Flow: Analysis of Projected Pattern Flow on an Object's Surface
* Depth Estimation via Affinity Learned with Convolutional Spatial Propagation Network
* Depth Estimation via Sparse Radar Prior and Driving Scene Semantics
* Depth Estimation Via Stage Classification
* Depth estimation with a practical camera
* Depth estimation with cascade occlusion culling filter for light-field cameras
* Depth Estimation with Light Field and Photometric Stereo Data Using Energy Minimization
* Depth Estimation with Occlusion Handling from a Sparse Set of Light Field Views
* Depth Estimation with Occlusion Modeling Using Light-Field Cameras
* Depth Estimation with Occlusion Prediction in Light Field Images
* Depth Estimation within a Multi-Line-Scan Light-Field Framework
* Depth extended online RPCA with spatiotemporal constraints for robust background subtraction
* Depth extraction by focal/aperture variation
* Depth Extraction by Stereo Triples and a Fast Correspondence Estimation Algorithm
* Depth extraction for a structured light system based on mismatched image pair rectification using a virtual camera
* Depth extraction from a single image by sampling based on distance metric learning
* Depth Extraction from Video Using Non-parametric Sampling
* Depth Extraction from Videos Using Geometric Context and Occlusion Boundaries
* Depth extraction method with subpixel matching for light-coding-based depth camera
* Depth extraction of partially occluded objects using deformable net
* Depth Extraction System Using Stereo Pairs
* Depth Extraction Using a Single Moving Camera: An Integration of Depth from Motion and Depth from Stereo
* Depth Extraction Using Lateral or Axial Camera Motion: An Integration of Depth from Motion and Stereo
* Depth features to recognise dyadic interactions
* Depth Field Networks For Generalizable Multi-View Scene Representation
* Depth filtering for auto-stereoscopic mobile devices
* Depth First Search and Linear Graph Algorithms
* Depth from a Light Field Image with Learning-Based Matching Costs
* Depth From a Polarisation + RGB Stereo Pair
* Depth from accidental motion using geometry prior
* Depth from automatic defocusing
* Depth from Camera Motion and Object Detection
* Depth from Camera Motion in a Real World Scene
* Depth from Combining Defocus and Correspondence Using Light-Field Cameras
* Depth from defocus and blur for single image
* Depth from Defocus and Rapid Autofocusing: A Practical Approach
* Depth from Defocus by Changing Camera Aperture: A Spatial Domain Approach
* Depth from Defocus Estimation in Spatial Domain
* Depth from Defocus in Presence of Partial Self Occlusion
* Depth from Defocus in the Wild
* Depth from Defocus on a Transmissive Diffraction Mask-based Sensor
* Depth from Defocus Technique Based on Cross Reblurring
* Depth from defocus using the hermite transform
* Depth from Defocus via Active Quasi-random Point Projections: A Deep Learning Approach
* Depth from Defocus vs. Stereo: How Different Really Are They?
* Depth from Defocus: A Real Aperture Imaging Approach
* Depth From Defocus: A Spatial Domain Approach
* Depth from defocusing using a neural network
* Depth from Defocusing
* Depth from Diffusion
* Depth from Distortions
* Depth from dynamic (de)focused projection
* Depth from Dynamic Stereo Images
* Depth from Edge and Intensity Based Stereo
* Depth from Encoded Sliding Projections
* Depth from Familiar Objects: A Hierarchical Model for 3D Scenes
* Depth from Focus of Structured Light
* Depth from Focus Using a Pyramid Architecture
* Depth from Focus with One Image
* Depth from focus with your mobile phone
* Depth from Focus
* Depth from Focusing and Defocusing
* Depth from Gaze
* Depth from gradient fields and control points: Bias Correction in Photometric Stereo
* Depth from Gradients in Dense Light Fields for Object Reconstruction
* Depth from Looming Structure
* Depth From Motion and Optical Blur With an Unscented Kalman Filter
* Depth from motion using critical point filters with unconstraint camera motion
* Depth from optical turbulence
* Depth from Physics: Physics-Based Image Analysis and Feature Definition
* Depth from Refraction Using a Transparent Medium with Unknown Pose and Refractive Index
* Depth from Relative Normal Flows
* Depth from Satellite Images: Depth Retrieval Using a Stereo and Radiative Transfer-Based Hybrid Method
* Depth from Scattering
* Depth from Semi-Calibrated Stereo and Defocus
* Depth from shading, defocus, and correspondence using light-field angular coherence
* Depth from sliding projections
* Depth from Spectral Defocus Blur
* Depth from Stationary Blur with Adaptive Filtering
* Depth from Stereo
* Depth from Three Camera Stereo
* Depth from Vergence and Active Calibration for Humanoid Robots
* Depth From Videos in the Wild: Unsupervised Monocular Depth Learning From Unknown Cameras
* Depth From Water Reflection
* Depth generation method for 2D to 3D conversion
* Depth Guided Detection of Salient Objects
* Depth Human Action Recognition Based on Convolution Neural Networks and Principal Component Analysis
* Depth Image-Based Rendering With Advanced Texture Synthesis for 3-D Video
* Depth image-based rendering with low resolution depth
* Depth image-based rendering with spatio-temporally consistent texture synthesis for 3-D video with global motion
* Depth Image-Based Representation and Compression for Static and Animated 3-D Objects
* Depth image-based representations for static and animated 3D objects
* Depth Image-Based Temporal Error Concealment for 3-D Video Transmission
* Depth image based compositing for stereo 3D
* Depth Image Based Rendering for 3D Data Service Over T-DMB
* Depth Image Based Rendering: A faithful approach for the disocclusion problem
* Depth Image Based View Synthesis with Multiple Reference Views for Virtual Reality
* Depth Image Coder Based on Progressive Silhouettes, A
* Depth image enhancement for Kinect using region growing and bilateral filter
* Depth image enhancement using local tangent plane approximations
* Depth image enlargement using an evolutionary approach
* Depth Image Generation for Autostereoscopic Monitors
* Depth Image Inpainting: Improving Low Rank Matrix Completion With Low Gradient Regularization
* Depth image matching for underwater vehicle navigation
* Depth Image Noise Reduction and Super-Resolution by Pixel-Wise Multi-Frame Fusion
* Depth Image Processing Technique for Representing Human Actors in 3DTV using Single Depth Camera
* Depth image super-resolution based on joint sparse coding
* Depth image super-resolution using correlation-controlled color guidance and multi-scale symmetric network
* Depth image super-resolution using multi-dictionary sparse representation
* Depth image up-sampling using ant colony optimization
* Depth image upsampling based on guided filter with low gradient minimization
* Depth images super-resolution: An iterative approach
* Depth Images: Representations and Real-Time Rendering
* Depth Imaging by Combining Time-of-Flight and On-Demand Stereo
* Depth incorporating with color improves salient object detection
* Depth inference with convolutional neural network
* Depth Information by Stage Classification
* Depth Information Guided Crowd Counting for complex crowd scenes
* Depth Information in Human Gait Analysis: An Experimental Study on Gender Recognition
* Depth Information Precise Completion-GAN: A Precisely Guided Method for Completing Ill Regions in Depth Maps
* Depth inpainting by tensor voting
* Depth Interpolation via Smooth Surface Segmentation Using Tangent Planes Based on the Superpixels of a Color Image
* Depth Intra Coding for 3D Video Based on Geometric Primitives
* Depth Inversion from Wave Frequencies in Temporally Augmented Satellite Video
* Depth is all you Need: Single-Stage Weakly Supervised Semantic Segmentation From Image-Level Supervision
* Depth Layers from Occlusions
* Depth manipulation using disparity histogram analysis for stereoscopic 3D
* Depth Map's 2D Histogram Assisted Occlusion Handling in Video Object Tracking
* Depth map artefacts reduction: a review
* Depth Map Based Facade Abstraction from Noisy Multi-View Stereo Point Clouds
* Depth Map Based Image Enhancement Using Color Stereopsis
* Depth Map Calculation for a Variable Number of Moving Objects using Markov Sequential Object Processes
* Depth map coding based on a optimal hierarchical region representation
* Depth Map Coding by Modeling the Locality and Local Correlation of View Synthesis Distortion in 3-D Video
* Depth Map Coding Optimization Using Rendered View Distortion for 3D Video Coding
* Depth map coding with elastic contours and 3D surface prediction
* Depth Map Completion by Jointly Exploiting Blurry Color Images and Sparse Depth Maps
* Depth map compression for real-time view-based rendering
* Depth map compression using multi-resolution graph-based transform for depth-image-based rendering
* Depth map compression via compressed sensing
* Depth map concealment using interview warping vectors from geometric transforms
* Depth Map Construction from Range-Guided Multiresolution Stereo Matching
* Depth map creation and image-based rendering for advanced 3DTV services providing interoperability and scalability
* Depth Map Decomposition for Monocular Depth Estimation
* Depth map denoising using collaborative graph wavelet shrinkage on connected image patches
* Depth map distortion analysis for view rendering and depth coding
* Depth Map Down-Sampling and Coding Based on Synthesized View Distortion
* Depth map enhanced macroblock partitioning for H.264 video coding of computer graphics content
* Depth map enhancement based on color and depth consistency
* Depth Map Enhancement by Revisiting Multi-Scale Intensity Guidance Within Coarse-to-Fine Stages
* Depth Map Enhancement Using Adaptive Steering Kernel Regression Based on Distance Transform
* Depth Map Estimation and Colorization of Anaglyph Images Using Local Color Prior and Reverse Intensity Distribution
* Depth map estimation based on geometric scene categorization
* Depth map estimation based on linear regression using image focus
* Depth map estimation from single-view image using object classification based on Bayesian learning
* Depth Map Estimation using a Robust Focus Measure
* Depth Map Estimation Using Census Transform for Light Field Cameras
* Depth Map Estimation Using Defocus and Motion Cues
* depth map fusion algorithm with improved efficiency considering pixel region prediction, A
* Depth map generation for 2D-to-3D conversion by limited user inputs and depth propagation
* Depth Map Generation for Aerial Video in Natural Scenery
* Depth map inpainting and super-resolution based on internal statistics of geometry and appearance
* Depth Map Inpainting And Super-Resolution With Arbitrary Scale Factors
* Depth Map Inpainting under a Second-Order Smoothness Prior
* Depth Map Manipulation for 3D Visualization
* Depth map misalignment correction and dilation for DIBR view synthesis
* Depth map propagation with the texture image guidance
* Depth Map Quantization: How Much is Sufficient?
* Depth Map Rasterization Using Triangulation and Color Consistency for Various Sampling Structures
* Depth map reconstruction using color-based region merging
* Depth Map Recovery Based on a Unified Depth Boundary Distortion Model
* Depth map recovery for multi-view using belief propagation
* Depth Map Regeneration via Improved Graph Cuts Using a Novel Omnidirectional Stereo Sensor
* Depth map repairing using tensor voting
* depth map representation for real-time transmission and view-based rendering of a dynamic 3D scene, A
* Depth Map Restoration From Undersampled Data
* Depth Map Super-Resolution Based on Dual Normal-Depth Regularization and Graph Laplacian Prior
* Depth Map Super-Resolution by Deep Multi-Scale Guidance
* Depth Map Super-Resolution By Multi-Direction Dictionary and Joint Regularization
* Depth Map Super-Resolution Considering View Synthesis Quality
* Depth map super-resolution using non-local higher-order regularization with classified weights
* Depth map super-resolution via extended weighted mode filtering
* Depth map super-resolution via iterative joint-trilateral-upsampling
* Depth Map Super-Resolution via Joint Local Gradient and Nonlocal Structural Regularizations
* Depth map super-resolution via low-resolution depth guided joint trilateral up-sampling
* Depth map super-resolution via multiclass dictionary learning with geometrical directions
* Depth map super resolution
* Depth Map Up-Sampling Using Random Walk
* Depth map up-sampling with texture edge feature via sparse representation
* Depth map upsampling by self-guided residual interpolation
* Depth Map Upsampling via Compressive Sensing
* Depth map upsampling with a confidence-based joint guided filter
* Depth Mapping for Stereoscopic Videos
* Depth mapping using a low-cost camera array
* Depth Maps Fast Scalable Compression Based On Coding Unit Depth
* Depth Masked Discriminative Correlation Filter
* Depth matrix and adaptive Bayes classifier based dynamic hand gesture recognition
* Depth Matters: Influence of Depth Cues on Visual Saliency
* Depth Measurement Based on Bifocus Imaging
* Depth Measurement by Motion Stereo
* Depth Measurement by the Multi-focus Camera
* Depth Measurement Using Frequency Analysis with an Active Projection
* Depth measurement using single camera with fixed camera parameters
* Depth modelling mode decision for depth intra coding via good feature
* Depth Motion Detection: A Novel RS-Trigger Temporal Logic based Method
* Depth No-Synthesis-Error Model for View Synthesis in 3-D Video
* Depth Object Detection, 3D Object Detection
* Depth Object Segmentation, Point Cloud Segmentation
* Depth occlusion perception feature analysis for person re-identification
* Depth of field guided reflection removal
* Depth of field in light field rendering
* Depth of Field, Desctiptions
* Depth of Scene from Depth of Field
* Depth order estimation for video frames using motion occlusions
* Depth ordering on image sequences using motion occlusions
* Depth Ordering, Single View 3D Reconstruction
* Depth Peeling Algorithm for the Distance Field Computation of Overlapping Objects
* Depth perception and spatial presence experience in stereoscopic 3D sports broadcasts
* depth perception and visual comfort guided computational model for stereoscopic 3D visual saliency, A
* Depth Perception Control during Car Vibration by Hidden Images on Monocular Head-Up Display
* depth perception evaluation metric for immersive 3D video services, A
* Depth Perception for Robots
* Depth perception in autostereograms: 1/f noise is best
* Depth Perception in Virtual Environment: The Effects of Immersive System and Freedom of Movement
* Depth Perception in Virtual Reality
* Depth Perception Model Based on Fixational Eye Movements Using Bayesian Statistical Inference
* Depth Perception Prediction of 3D Video for Ensuring Advanced Multimedia Services
* Depth Perception Tendencies in the 3-d Environment of Virtual Reality
* Depth Perception Under Motion and Stereo with Implications for 3D TV
* Depth Perception Using Blurring and Its Application in VLSI Wafer Probing
* Depth perceptual quality assessment for symmetrically and asymmetrically distorted stereoscopic 3D videos
* Depth perceptual region-of-interest based multiview video coding
* Depth Pooling Based Large-Scale 3-D Action Recognition with Convolutional Neural Networks
* Depth Prediction for Monocular Direct Visual Odometry
* Depth prediction from 2D images: A taxonomy and an evaluation study
* Depth Prediction From a Single Image with 3D Consistency
* Depth prediction from a single image with conditional adversarial networks
* Depth Privileged Scene Recognition via Dual Attention Hallucination
* Depth range accuracy for plenoptic cameras
* Depth range of a 3D image sampled by a lens array with the integral method
* Depth Reconstruction From Sparse Samples: Representation, Algorithm, and Sampling
* Depth Reconstruction in Stereopsis
* Depth Reconstruction of Translucent Objects from a Single Time-of-Flight Camera Using Deep Residual Networks
* Depth reconstruction uncertainty analysis and improvement: The dithering approach
* Depth Recovery Algorithm Using Defocus Information, A
* Depth recovery and affine reconstruction under camera pure translation
* Depth Recovery from Blurred Edges
* Depth Recovery from Light Field Using Focal Stack Symmetry
* Depth Recovery from Motion and Defocus Blur
* Depth Recovery from Motion Blurred Images
* Depth Recovery from Noisy Gradient Vector Fields Using Regularization
* Depth Recovery from Surface Normals
* Depth Recovery of Complex Surfaces from Texture-less Pair of Stereo Images
* Depth Recovery Using an Adaptive Color-Guided Auto-Regressive Model
* Depth recovery using defocus blur at infinity
* Depth recovery via decomposition of polynomial and piece-wise constant signals
* Depth Recovery with Face Priors
* Depth refinement for binocular kinect RGB-D cameras
* Depth rendition of three-dimensional displays
* Depth Repeated-Enhancement RGB Network for Rail Surface Defect Inspection
* Depth Representation of LiDAR Point Cloud with Adaptive Surface Patching for Object Classification
* Depth resolution and displayable depth of a scene in three-dimensional images
* Depth resolution in three-dimensional images
* Depth Restoration from Defocused Images Using Simulated Annealing
* Depth Restoration From RGB-D Data via Joint Adaptive Regularization and Thresholding on Manifolds
* Depth Restoration in Under-Display Time-of-Flight Imaging
* Depth Restoration Occlusionless Temporal Dataset, A
* Depth Restoration via Joint Training of a Global Regression Model and CNNs
* Depth saliency based on anisotropic center-surround difference
* Depth Scaling of Multiview Images for Automultiscopic 3D Monitors
* Depth sculpturing for 2D paintings: A progressive depth map completion framework
* Depth SEEDS: Recovering incomplete depth data using superpixels
* Depth segmentation in real-world scenes based on U-V disparity analysis
* Depth Selection for Deep ReLU Nets in Feature Extraction and Generalization
* Depth Selective Camera: A Direct, On-Chip, Programmable Technique for Depth Selectivity in Photography
* Depth Sensation Enhancement for Multiple Virtual View Rendering
* Depth Sensation Enhancement Using the Just Noticeable Depth Difference
* Depth Sensing Beyond LiDAR Range
* Depth Sensing by Near-Infrared Light Absorption in Water
* Depth Sensing by Variable Baseline Triangulation
* Depth sensing camera systems and methods
* Depth Sensing for 3DTV: A Survey
* Depth Sensing Using Geometrically Constrained Polarization Normals
* Depth sensing with coding-free pattern based on topological constraint
* Depth sensing with focus and exposure adaptation
* Depth sensor assisted real-time gesture recognition for interactive presentation
* depth sensor to control pick-and-place robots for fruit packaging, A
* Depth Sequence Coding With Hierarchical Partitioning and Spatial-Domain Quantization
* Depth silhouettes for gesture recognition
* Depth space partitioning for omni-stereo object tracking
* Depth Structure Association for RGB-D Multi-target Tracking
* Depth Super-Resolution by Enhanced Shift and Add
* Depth Super-resolution by Fusing Depth Imaging and Stereo Vision with Structural Determinant Information Inference
* Depth Super-Resolution From RGB-D Pairs With Transform and Spatial Domain Regularization
* Depth Super-Resolution Meets Uncalibrated Photometric Stereo
* Depth Super-Resolution on RGB-D Video Sequences With Large Displacement 3D Motion
* Depth super-resolution via fully edge-augmented guidance
* Depth Super-Resolution via Joint Color-Guided Internal and External Regularizations
* Depth Super Resolution by Rigid Body Self-Similarity in 3D
* Depth Superresolution by Transduction
* Depth Sweep Regression Forests for Estimating 3D Human Pose from Images
* Depth texture synthesis for high-resolution reconstruction of large scenes
* Depth Texture Synthesis for Realistic Architectural Modeling
* Depth to Diameter Analysis on Small Simple Craters at the Lunar South Pole: Possible Implications for Ice Harboring
* Depth Transfer: Depth Extraction from Video Using Non-Parametric Sampling
* Depth up-sampling for depth coding using view information
* Depth upsampling based on deep edge-aware learning
* Depth upsampling by depth prediction
* Depth upsampling method via Markov random fields without edge-misaligned artifacts
* Depth video camera based temporal alpha matting for natural 3D scene generation
* Depth video coding for free viewpoint video oriented to the synthetic view perceptual quality
* Depth Video Coding Using Adaptive Geometry Based Intra Prediction for 3-D Video Systems
* Depth Video Enhancement Based on Weighted Mode Filtering
* Depth video spatial and temporal correlation enhancement algorithm based on just noticeable rendering distortion model
* Depth Videos for the Classification of Micro-Expressions
* Depth vs. intensity: which is more important for face recognition?
* Depth Weighted Modified Hausdorff Distance for Range Face Recognition
* Depth, Range Sensors for Machine Vision
* Depth2Action: Exploring Embedded Depth for Large-Scale Action Recognition
* DepthCue: Restoration of Underwater Images Using Monocular Depth as a Clue
* DepthCut: improved depth edge estimation using multiple unreliable channels
* Depthformer: Multiscale Vision Transformer for Monocular Depth Estimation with Global Local Information Fusion
* DepthInSpace: Exploitation and Fusion of Multiple Video Frames for Structured-Light Depth Estimation
* DepthLearn: Learning to Correct the Refraction on Point Clouds Derived from Aerial Imagery for Accurate Dense Shallow Water Bathymetry Based on SVMs-Fusion with LiDAR Point Clouds
* DepthNet: A Recurrent Neural Network Architecture for Monocular Depth Prediction
* Depthobj: A Synthetic Dataset for 3d Mesh Model Retrieval
* Depths Inferred from Velocities Estimated by Remote Sensing: A Flow Resistance Equation-Based Approach to Mapping Multiple River Attributes at the Reach Scale
* Depths of Cast Shadow, The
* DepthTrack: Unveiling the Power of RGBD Tracking
* Depthwise-Separable Residual Capsule for Robust Keyword Spotting
* Depthwise Convolution For Compact Object Detector In nighttime Images
* Depthwise Nonlocal Module for Fast Salient Object Detection Using a Single Thread
* Depthwise Separable Convolution Neural Network for High-Speed SAR Ship Detection
* Depthwise Separable Convolutions and Variational Dropout within the context of YOLOv3
* Depthwise Separable Temporal Convolutional Network for Action Segmentation
* Depthwise Spatio-Temporal STFT Convolutional Neural Networks for Human Action Recognition
* Dequantizing image orientation
* DER: Dynamically Expandable Representation for Class Incremental Learning
* Derailment-Free Finite State Vector Quantization Using Conditional Histogram. Optimization and Application to Image Compression
* DerainCycleGAN: Rain Attentive CycleGAN for Single Image Deraining and Rainmaking
* DeRF: Decomposed Radiance Fields
* DERF: Distinctive Efficient Robust Features From the Biological Modeling of the P Ganglion Cells
* Deringing and deblocking DCT compression artifacts with efficient shifted transforms
* Derivation and Comparison of SAR and Frequency-Wavenumber Migration Within a Common Inverse Scalar Wave Problem Formulation
* Derivation and Evaluation of a New Extinction Coefficient for Use With the n-HUT Snow Emission Model
* Derivation and Validation of a Sensitivity Formula for Slit-Slat Collimation
* Derivation and Validation of High-Resolution Digital Terrain Models from Mars Express HRSC-Data
* Derivation and Validation of Sensor Brightness Temperatures for Advanced Microwave Sounding Unit-A Instruments
* Derivation for the Discrete Cosine Transform, A
* Derivation of 3-D Surface Shape from Shadows, The
* Derivation of 3D Indoor Models by Grammars for Route Planning
* Derivation of an Observer Model Adapted to Irregular Signals Based on Convolution Channels
* Derivation of an urban materials spectral library through emittance and reflectance spectroscopy
* Derivation of blur-invariant features using orthogonal Legendre moments
* Derivation of Daily Evaporative Fraction Based on Temporal Variations in Surface Temperature, Air Temperature, and Net Radiation
* Derivation of Digital Terrain Model in Forested Area with Airborne LIDAR Data
* Derivation of Dominant Height and Yield Class of Forest Stands by Means of Airborne Remote Sensing Methods
* Derivation Of Forest Inventory Parameters For Carbon Estimation Using Terrestrial Lidar
* Derivation of Geometrically and Semantically Annotated UAV Datasets at Large Scales from 3D City Models
* Derivation of global vegetation biophysical parameters from EUMETSAT Polar System
* Derivation of High-Resolution Bathymetry from Multispectral Satellite Imagery: A Comparison of Empirical and Optimisation Methods through Geographical Error Analysis
* Derivation of Hyperspectral Profile of Extended Pseudo Invariant Calibration Sites (EPICS) for Use in Sensor Calibration
* Derivation of Land Surface Albedo at High Resolution by Combining HJ-1A/B Reflectance Observations with MODIS BRDF Products
* Derivation of Optical Flow Using a Spatiotemporal-Frequency Approach
* Derivation of Optimal Filters for the Detection of Coronary Arteries
* Derivation of Prediction Equations for Blocking Effect Reduction
* Derivation of Qualitative Information in Motion Analysis, The
* Derivation of Red Tide Index and Density Using Geostationary Ocean Color Imager (GOCI) Data
* Derivation of Relationships between Spectral Vegetation Indices from Multiple Sensors Based on Vegetation Isolines
* Derivation of Sea Surface Tidal Current From Spaceborne SAR Constellation Data
* Derivation of Sea Surface Wind Directions from TerraSAR-X Data Using the Local Gradient Method
* Derivation of Shortwave Radiometric Adjustments for SNPP and NOAA-20 VIIRS for the NASA MODIS-VIIRS Continuity Cloud Products
* Derivation of studio camera position and motion from the camera image
* Derivation of the Orientation Parameters in Built-Up Areas: With Application to Model-Based Decomposition
* Derivation of Three-Dimensional Displacement Vectors from Multi-Temporal Long-Range Terrestrial Laser Scanning at the Reissenschuh Landslide (Tyrol, Austria)
* Derivation of tree skeletons and error assessment using LiDAR point cloud data of varying quality
* Derivation of various transfer functions of ideal or aberrated imaging systems from the three-dimensional transfer function
* Derivation of Vegetation Optical Depth and Water Content in the Source Region of the Yellow River using the FY-3B Microwave Data
* derivative-aided hyperspectral image analysis system for land-cover classification, A
* Derivative-Based Fast Autofocus Method in Electron Microscopy, A
* Derivative-based imaging
* Derivative-Based Scale Invariant Image Feature Detector With Error Resilience
* Derivative-Based Steganographic Distortion and its Non-additive Extensions for Audio
* derivative-free noncircular fan-beam reconstruction formula, A
* derivative-free optimization-based approach for detecting architectural symmetries from 3D point clouds, A
* Derivative Computation By Multiscale Filters
* Derivative Entropy-Based Contrast Measure for Infrared Small-Target Detection
* Derivative Half Gaussian Kernels and Shock Filter
* Derivative Kernels: Numerics and Applications
* Derive a MODIS-Based Calibration for the AVHRR Reflective Solar Channels of the NOAA KLM Operational Satellites
* Derived disparity vector based NBDV for 3D-AVC
* Derived Observations From Frequently Sampled Microwave Measurements of Precipitation. Part II: Sensitivity to Atmospheric Variables and Instrument Parameters
* Derived Observations From Frequently Sampled Microwave Measurements of Precipitation: Part I: Relations to Atmospheric Thermodynamics
* DeriveNet for (Very) Low Resolution Image Classification
* Deriving 3-D Surface Deformation Time Series with Strain Model and Kalman Filter from GNSS and InSAR Data
* Deriving 3-D Time-Series Ground Deformations Induced by Underground Fluid Flows with InSAR: Case Study of Sebei Gas Fields, China
* Deriving 3d Point Clouds From Terrestrial Photographs: Comparison Of Different Sensors And Software
* Deriving a discriminative color model for a given object class from weakly labeled training data
* Deriving a Forest Cover Map in Kyrgyzstan Using a Hybrid Fusion Strategy
* Deriving a Frozen Area Fraction From Metop ASCAT Backscatter Based on Sentinel-1
* Deriving a Global and Hourly Data Set of Aerosol Optical Depth Over Land Using Data From Four Geostationary Satellites: GOES-16, MSG-1, MSG-4, and Himawari-8
* Deriving a Priori Co-occurrence Probability Estimates for Object Recognition from Social Networks and Text Processing
* Deriving a surrogate safety measure for freeway incidents based on predicted end-of-queue properties
* Deriving Aerodynamic Roughness Length at Ultra-High Resolution in Agricultural Areas Using UAV-Borne LiDAR
* Deriving Aerosol Absorption Properties from Solar Ultraviolet Radiation Spectral Measurements at Thessaloniki, Greece
* Deriving Agricultural Field Boundaries for Crop Management from Satellite Images Using Semantic Feature Pyramid Network
* Deriving airborne laser scanning based computational canopy volume for forest biomass and allometry studies
* Deriving and Evaluating City-Wide Vegetation Heights from a TanDEM-X DEM
* Deriving Annual Double-Season Cropland Phenology Using Landsat Imagery
* Deriving Bathymetry From Optical Images With a Localized Neural Network Algorithm
* Deriving Coarse 3-D Models of Objects
* Deriving distance metrics from generality relations
* Deriving DSMs from LiDAR data with kriging
* Deriving Dynamic Subsidence of Coal Mining Areas Using InSAR and Logistic Model
* Deriving economic and social indicators from imagery
* Deriving Ephemeral Gullies from VHR Image in Loess Hilly Areas through Directional Edge Detection
* Deriving facial articulation models from image sequences
* Deriving Field Scale Soil Moisture from Satellite Observations and Ground Measurements in a Hilly Agricultural Region
* Deriving Fuel Mass by Size Class in Douglas-fir (Pseudotsuga menziesii) Using Terrestrial Laser Scanning
* Deriving high-level scene descriptions from deep scene CNN features
* Deriving High-Resolution Reservoir Bathymetry From ICESat-2 Prototype Photon-Counting Lidar and Landsat Imagery
* Deriving High Spatial-Resolution Coastal Topography From Sub-meter Satellite Stereo Imagery
* Deriving High Spatiotemporal Remote Sensing Images Using Deep Convolutional Network
* Deriving Hourly PM2.5 Concentrations from Himawari-8 AODs over Beijing-Tianjin-Hebei in China
* Deriving Ice Motion Patterns in Mountainous Regions by Integrating the Intensity-Based Pixel-Tracking and Phase-Based D-InSAR and MAI Approaches: A Case Study of the Chongce Glacier
* Deriving Individual-Tree Biomass from Effective Crown Data Generated by Terrestrial Laser Scanning
* Deriving Intrinsic Images from Image Sequences
* Deriving L-Band Tilting Ocean Surface Roughness From Measurements by Operational Systems
* Deriving leaf mass per area (LMA) from foliar reflectance across a variety of plant species using continuous wavelet analysis
* Deriving Line and Surface Orientation by Statistical Methods
* Deriving Motion Constraints in Finger Joints of Individualized Hand Model for Manipulation by Data Glove
* Deriving Neural Network Architectures Using Precision Learning: Parallel-to-Fan Beam Conversion
* Deriving Non-Cloud Contaminated Sentinel-2 Images with RGB and Near-Infrared Bands from Sentinel-1 Images Based on a Conditional Generative Adversarial Network
* Deriving Nutrient Concentrations from Sentinel-3 OLCI Data in North-Eastern Baltic Sea
* Deriving Ocean Surface Drift Using Multiple SAR Sensors
* Deriving optical properties of Mahakam Delta coastal waters, Indonesia using in situ measurements and ocean color model inversion
* Deriving Orientation Cues from Stereo Images
* Deriving Particulate Organic Carbon in Coastal Waters from Remote Sensing: Inter-Comparison Exercise and Development of a Maximum Band-Ratio Approach
* Deriving plant phenology from remote sensing
* Deriving Predictive Relationships of Carotenoid Content at the Canopy Level in a Conifer Forest Using Hyperspectral Imagery and Model Simulation
* Deriving Regional Snow Line Dynamics during the Ablation Seasons 1984-2018 in European Mountains
* Deriving River Discharge Using Remotely Sensed Water Surface Characteristics and Satellite Altimetry in the Mississippi River Basin
* Deriving scale normalisation factors for a GLoG detector
* Deriving Snow Cover Metrics for Alaska from MODIS
* Deriving Sparse Coefficients of Wavelet Pyramid Taking Clues from Hough Transform
* Deriving Spatio-Temporal Development of Ground Subsidence Due to Subway Construction and Operation in Delta Regions with PS-InSAR Data: A Case Study in Guangzhou, China
* Deriving Stand Structural Complexity from Airborne Laser Scanning Data: What Does It Tell Us about a Forest?
* Deriving Stopping Rules for the Probabilistic Hough Transform by Sequential-Analysis
* Deriving structural knowledge from terrestrial laser scanning data for 3d façade reconstruction
* Deriving Symbol Dependent Edit Weights for Text Correction: The Use of Error Dictionaries
* Deriving Texture Feature Set for Content-Based Retrieval of Satellite Image Database
* Deriving the Medial Axis with geometrical arguments for planar shapes
* Deriving the Reservoir Conditions for Better Water Resource Management Using Satellite-Based Earth Observations in the Lower Mekong River Basin
* Deriving the Upper Bound of the Number of Sensors Required to Know All Link Flows in a Traffic Network
* Deriving the Vehicle Speeds from a Mobile Telecommunications Network
* Deriving the Vertical Variations in the Diffuse Attenuation Coefficient of Photosynthetically Available Radiation in the North Pacific Ocean from Remote Sensing
* Deriving Topological Representations from Edge Images
* Deriving Total Suspended Matter Concentration from the Near-Infrared-Based Inherent Optical Properties over Turbid Waters: A Case Study in Lake Taihu
* Deriving Tree Size Distributions of Tropical Forests from Lidar
* Deriving Urban Boundaries of Henan Province, China, Based on Sentinel-2 and Deep Learning Methods
* Deriving Vegetation Phenological Time and Trajectory Information Over Africa Using SEVIRI Daily LAI
* Deriving VIIRS High-Spatial Resolution Water Property Data over Coastal and Inland Waters Using Deep Convolutional Neural Network
* Deriving VTEC Maps from SMOS Radiometric Data
* Deriving Water Quality Parameters Using Sentinel-2 Imagery: A Case Study in the Sado Estuary, Portugal
* Deriving Wheat Crop Productivity Indicators Using Sentinel-1 Time Series
* Deriving Winds at Cloud-Base Height With an Infrared Camera
* Dermatoglyphics
* Dermatological Image Denoising Using Adaptive Henlm Method
* Dermonet: A Computer-aided Diagnosis System for Dermoscopic Disease Recognition
* Dermoscopic Image Segmentation Through the Enhanced High-Level Parsing and Class Weighted Loss
* DESA: Disparity Estimation With Surface Awareness
* DESC: Domain Adaptation for Depth Estimation via Semantic Consistency
* Descalloping Postprocessor for ScanSAR Images of Ocean Scenes, A
* Descattering Transmission via Angular Filtering
* Descending Stairs Detection with Low-Power Sensors
* Descending, Lifting or Smoothing: Secrets of Robust Cost Optimization
* Descent Trajectory Recovery of Chang'e-4 Lander Based On Descent Images
* Descreening Using HOG-based Adaptive Smoothing Filter
* Describable Textures Dataset (DTD)
* Describable Visual Attributes for Face Verification and Image Search
* Describe Fashion Products via Local Sparse Self-Attention Mechanism and Attribute-Based Re-Sampling Strategy
* Describe Me If You Can! Characterized Instance-Level Human Parsing
* Describe, Spot and Explain: Interpretable Representation Learning for Discriminative Visual Reasoning
* Describing 1-D Intensity Transistions with Gaussian Derivatives at the Resolutions Matching the Transition Widths
* Describing a Robot's Workspace Using a Sequence of Views from a Moving Camera
* Describing and Abstracting Pictorial Structures
* Describing and Localizing Multiple Changes with Transformers
* Describing and Matching 2D Shapes by Their Points of Mutual Symmetry
* Describing and Recognizing 3-D Objects Using Surface Properties
* Describing and Recognizing Patterns of Events in Smart Environments With Description Logic
* Describing and Segmenting Scenes from Imperfect and Incomplete Data
* Describing Clothing by Semantic Attributes
* Describing Common Human Visual Actions in Images
* Describing Complicated Objects by Implicit Polynomials
* Describing contrast across scales
* Describing Geographical Characteristics with Social Images
* Describing Geospatial Assets in the Web of Data: A Metadata Management Scenario
* Describing Images with Ontology-Aware Dictionary Learning
* Describing Like Humans: On Diversity in Image Captioning
* Describing low-level image features using the COMM ontology
* Describing Motion for Recognition
* Describing Multimedia Content Using Attention-Based Encoder-Decoder Networks
* Describing Natural Textures
* Describing objects by their attributes
* Describing patterns in flow-like images
* Describing people: A poselet-based approach to attribute classification
* Describing Polyps Behavior of a Deep-Sea Gorgonian, Placogorgia sp., Using a Deep-Learning Approach
* Describing Reflectances for Color Segmentation Robust to Shadows, Highlights, and Textures
* Describing shapes by geometrical-topological properties of real functions
* Describing Surfaces
* Describing texture directions with Von Mises distributions
* Describing Textures in the Wild
* Describing Textures Using Natural Language
* Describing the scene as a whole: Joint object detection, scene classification and semantic segmentation
* Describing the Shapes of Faces Using Surface Primitives
* Describing Trajectory of Surface Patch for Human Action Recognition on RGB and Depth Videos
* Describing Unseen Classes by Exemplars: Zero-Shot Learning Using Grouped Simile Ensemble
* Describing Unseen Videos via Multi-Modal Cooperative Dialog Agents
* Describing Upper-Body Motions Based on Labanotation for Learning-from-Observation Robots
* Describing Video With Attention-Based Bidirectional LSTM
* Describing Videos by Exploiting Temporal Structure
* Describing Visual Scenes Using Transformed Objects and Parts
* Describing When and Where in Vision
* Describing words by graphs
* Description-Discrimination Collaborative Tracking
* Description and Characterization of a Novel Method for Partial Volume Simulation in Software Breast Phantoms
* Description and Classification of 3-D Objects
* Description and Classification of Confocal Endomicroscopic Images for the Automatic Diagnosis of Inflammatory Bowel Disease
* Description and Discrimination of Planar Shapes Using Shape Matrices
* Description and Interpretation of Rotational Motion from Image Trajectories
* Description and Performance of an L-Band Radiometer with Digital Beamforming
* Description and Recognition of Activity Patterns Using Sparse Vector Fields
* Description and recognition of complex spatial configurations of object pairs with Force Banner 2D features
* Description and recognition of curved objects
* Description and Recognition of Human Gestures Based on the Transition of Curvature from Motion Images
* Description and recognition of object contours using arc length and tangent orientation
* Description and Reconstruction from Image Trajectories of Rotational Motion
* Description and Representation of 3-D Scenes in Computer Vision Systems
* Description and Retrieval of 3d Cellular Structures
* description and retrieval of a sequence of moving objects using a shape variation map, The
* Description and retrieval of geometric patterns on surface meshes using an edge-based LBP approach
* Description and simulation of an active imaging technique utilizing two speckle fields: iterative reconstructors
* Description and simulation of an active imaging technique utilizing two speckle fields: root reconstructors
* Description and Tracking of Moving Articulated Objects
* Description and validation of a new set of object-based temporal geostatistical features for land-use/land-cover change detection
* Description and Validation of an Automated Objective Technique for Identification and Characterization of the Integrated Water Vapor Signature of Atmospheric Rivers
* Description Generation for Remote Sensing Images Using Attribute Attention Mechanism
* Description generation of open-domain videos incorporating multimodal features and bidirectional encoder
* Description Logics and Rules for Multimodal Situational Awareness in Healthcare
* Description method for spatio-temporal regions in a video and its application
* Description Method of Handprinted Chinese Characters, A
* Description method of Illumination invariant image features
* Description of 3-D Object in Range Image
* Description of 3-D Surfaces Using Curvature Properties
* Description of a System for Transmission of Line Drawings with Bandwidth-Time Compression
* Description of Breast Morphology Through Bag of Normals Representation
* Description of Complex Objects from Multiple Range Images Using an Inflating Balloon Model
* Description of Complex Objects from Multiple Range Images
* Description of Corner Cases in Automated Driving: Goals and Challenges
* Description of deep saturated excitation multiphoton microscopy for super-resolution imaging
* Description of Digital Images by Region-Based Contour Trees
* Description of Evolutional Changes in Image Time Sequences Using MPEG-7 Visual Descriptors
* Description of Eye Figure with Small Parameters
* Description of Homogeneous Regions by a Structural Analysis
* Description of Interest Regions with Center-Symmetric Local Binary Patterns
* Description of interest regions with local binary patterns
* Description of Local Singularities for Image Registration
* Description of Medical Images in Characteristic Subspace and Vector Quantization Coding Based on Wavelet Transformation
* Description of Moving Objects Based on Parameterized Region Extraction
* Description Of Object Shapes By Apparent Boundary And Convex Hull
* Description of Planar Patterns by Invariant Features: An Attempt Towards the Explanation of Visual Pattern Recognition
* Description of shape information for 2-D and 3-D objects
* Description of shape patterns using circular arcs for object detection
* Description of Signature Images and Its Application to Their Classification
* Description of simple method in 3D reconstruction in medical imaging
* Description of Surfaces from Range Data using Curvature Properties
* Description of Surfaces from Range Data
* Description of Texture Using the General Operator Approach
* Description of Textures by a Structural Analysis
* Description of the Collection of Facial Images
* Description of the Color Image by Using Stable View Points
* Description of the Enzymatic Browning in Avocado Slice Using GLCM Image Texture
* Description of the Minimizers of Least Squares Regularized with L_0-norm. Uniqueness of the Global Minimizer
* Description of the UCAR/CU Soil Moisture Product
* Description of three-dimensional gray-level objects by the harmonic analysis approach
* Description schemes for video programs, users and devices
* Description Selection Scheme for Intermediate Frame Based Multiple Description Video Streaming
* Descriptions Based on Relational Network Structures
* Descriptions of Complex Objects from Incomplete and Imperfect Data
* Descriptive and Prescriptive Languages for Mobility Tasks: Are They Different?
* Descriptive Approach to Image Analysis: Current State and Prospects, The
* Descriptive Bayesian Approach to Modeling and Calibrating Drivers' En Route Diversion Behavior, A
* Descriptive Experiment Design Restructured MVDR Beamforming Technique for Enhanced Imaging with Unfocused SAR Systems
* Descriptive Image Feature for Object Detection in Medical Images
* Descriptive local feature groups for image classification
* Descriptive Pattern Recognition System Applied to Pictorial Patterns Where the Discriminating Information Is Carried in the Object Shape, A
* Descriptive Survey on Face Emotion Recognition Techniques, A
* Descriptive temporal template features for visual motion recognition
* Descriptor-Based Image Colorization and Regularization
* Descriptor-free Multi-view Region Matching for Instance-wise 3d Reconstruction
* Descriptor-Free Smooth Feature-Point Matching for Images Separated by Small/Mid Baselines
* Descriptor-less Well-Distributed Feature Matching Method Using Geometrical Constraints and Template Matching, A
* Descriptor and Voting Scheme for Fast 3D Self-Localization in Man-Made Environments, A
* Descriptor Based Methods in the Wild
* descriptor combining MHI and PCOG for human motion classification, A
* Descriptor correlation analysis for remote sensing image multi-scale classification
* Descriptor evaluation and feature regression for multimodal image analysis
* Descriptor extraction based on a multilayer dictionary architecture for classification of natural images
* Descriptor for a video sequence and image retrieval system using said descriptor
* Descriptor free visual indoor localization with line segments
* Descriptor Learning Based on Fisher Separation Criterion for Texture Classification
* Descriptor Learning for Efficient Retrieval
* Descriptor Learning Using Convex Optimisation
* Descriptor Scoring for Feature Selection in Real-Time Visual SLAM
* Descriptor System Approach for Estimation of Incipient Faults With Application to High-Speed Railway Traction Devices, A
* Descriptors and regions of interest fusion for in- and cross-database gender classification in the wild
* Descriptors for Textures
* Desensitisation of medical images restoration under crude estimates of mobile radio channels
* DESEO: An Active Vision System for Detection, Tracking and Recognition
* Desert-Based Absolute Calibration of Successive Geostationary Visible Sensors Using a Daily Exoatmospheric Radiance Model
* Desert Locust Cropland Damage Differentiated from Drought, with Multi-Source Remote Sensing in Ethiopia
* Desert Roughness Retrieval Using CYGNSS GNSS-R Data
* Desert Seismic Low-Frequency Noise Attenuation Using Low-Rank Decomposition-Based Denoising Convolutional Neural Network
* Desert Soil Salinity Inversion Models Based on Field In Situ Spectroscopy in Southern Xinjiang, China
* Deserted Medieval Village Reconstruction Using Applied Geosciences
* Desertification Assessment Using Medalus Model In Upper Lamchiengkrai Watershed, Thailand
* Desertification Extraction Based on a Microwave Backscattering Contribution Decomposition Model at the Dry Bottom of the Aral Sea
* Desertification Information Extraction Based on Feature Space Combinations on the Mongolian Plateau
* Desertification Susceptibility Mapping Using Logistic Regression Analysis in the Djelfa Area, Algeria
* DeshadowNet: A Multi-context Embedding Deep Network for Shadow Removal
* DeshuffleGAN: A Self-Supervised GAN to Improve Structure Learning
* DeSI: Deepfake Source Identifier for Social Media
* Design-Based Texture Feature Fusion Using Gabor Filters and Co-Occurrence Probabilities
* Design a deblocking filter with three separate modes in DCT-based coding
* Design a new visual cryptography for human-verifiable authentication in accessing a database
* Design a TDCP-Smoothed GNSS/Odometer Integration Scheme with Vehicular-Motion Constraint and Robust Regression, The
* Design an Aperiodic Stochastic Resonance Signal Processor for Digital Watermarking
* Design Analysis of a High-Resolution Panoramic Camera Using Conventional Imagers and a Mirror Pyramid
* Design analysis of deterministic interleaver for OFDM-IDMA system
* Design and Analysis for Thematic Map Accuracy Assessment: Fundamental Principles
* Design and analysis of a 2-DOF micro-motion stage based on flexural hinges
* Design and Analysis of a Forward-adaptive Wavelet Image Coder
* Design and analysis of a framework for real-time vision-based SLAM using Rao-Blackwellised particle filters
* Design and Analysis of a Human-Machine Interaction System for Researching Human's Dynamic Emotion
* Design and Analysis of a New Deployable Docking Mechanism for Microsatellites
* Design and Analysis of a New Deployer for the in Orbit Release of Multiple Stacked CubeSats
* Design and Analysis of a Next-Generation Wide Field-of-View Earth Radiation Budget Radiometer
* Design and analysis of a novel omnidirectional stereovision system
* Design and Analysis of a Prediction System About Influenza-Like Illness From the Latent Temporal and Spatial Information
* Design and Analysis of a UWB MIMO Radar System with Miniaturized Vivaldi Antenna for Through-Wall Imaging
* Design and analysis of active vibration and stability control of a bio-inspired quadruped robot
* design and analysis of adjustment factor in Gerschgorin Criterion for Source Number Estimation, The
* Design and Analysis of an Image Resizing Filter in the Block-DCT Domain
* Design and Analysis of Longitudinal Controller for the Platoon With Time-Varying Delay
* Design and Analysis of MEC- and Proactive Caching-Based 360° Mobile VR Video Streaming
* Design and Analysis of Multimodel-Based Anomaly Intrusion Detection Systems in Industrial Process Automation
* Design and Analysis of Robust Binary Filters in the Context of a Prior Distribution for the States of Nature
* Design and Analysis of Secure Distributed Estimator for Vehicular Platooning in Adversarial Environment
* Design and Analysis of Spatial Data Structures
* Design and Analysis of System on a Chip Encoder for JPEG2000
* Design and analysis of vector color error diffusion halftoning systems
* Design and Application of a Data System for the Comparative Study of Historic Mortars
* Design and Application of a UAV Autonomous Inspection System for High-Voltage Power Transmission Lines
* Design and Application of Curves and Surfaces: Mathematics of Surfaces V
* Design and Application of DWT-Domain Optimum Decoders, The
* Design and Application of Multi-Dimensional Visualization System for Large-Scale Ocean Data
* Design and Application of Smart Vocational Education Platform Based on New Generation Information Technology
* Design and Applications of Multi-Frequency Holographic Subsurface Radar: Review and Case Histories
* Design and Architectural Implications of a Spatial Information System
* Design and Architectures for Signal and Image Processing
* Design and ARM-Embedded Implementation of a Chaotic Map-Based Real-Time Secure Video Communication System
* Design and Assessment of an Intelligent Activity Monitoring Platform
* Design and Assessment of an Online Passenger Information System for Integrated Multimodal Trip Planning
* Design and Assessment of Two Handling Interaction Techniques for 3D Virtual Objects Using the Myo Armband
* design and calibration of a 3D motion capture system for arthropods, The
* Design and calibration of a multi-view TOF sensor fusion system
* Design and Calibration of Multi-camera Systems for 3D Computer Vision: Lessons Learnt from Two Case Studies
* Design and Characterization of a Peltier-Cold Calibration Target for a 110-GHz Radiometer
* Design and Characterization of the Multi-Band SWIR Receiver for the Lunar Flashlight CubeSat Mission
* Design and Comparative Study of Some Sequential Jump Detection Algorithms for Digital Signals
* Design and Comparison of Immersive Gesture Interfaces for HMD Based Virtual World Navigation
* Design and Comparison of Robust Nonlinear Controllers for the Lateral Dynamics of Intelligent Vehicles
* Design and Comparison of Segmentation Driven and Recognition Driven Devanagari OCR
* Design and Construction of a PET-Compatible Double-Tuned 1H/31P MR Head Coil
* Design and Construction of Electronic Aid for Visually Impaired People
* Design And Construction Of Massive Digital Orthophoto Map Database In China
* Design and Control of a Camera Platform for Machine Vision
* Design and Costs Estimation of Electrical Substations Based on Three-Dimensional Building Blocks
* Design and Creation of a Multi-illuminant Scene Image Dataset
* Design and decoding of an M-array pattern for low-cost structured light 3D reconstruction systems
* Design and Demonstration of a Configurable Imaging Platform for Combined Laser, Ultrasound, and Elasticity Imaging
* Design and Demonstration of a Novel Long-Range Photon-Counting 3D Imaging LiDAR with 32X32 Transceivers
* Design and Deployment of Visible-Thermal Biometric Surveillance Systems
* Design and Development Issues for Multimedia Information-Systems
* Design and Development of a 3D Digital Cadastre Visualization Prototype
* Design and Development of a Low-Cost Aerial Mobile Mapping System for Multi-Purpose Applications
* Design and Development of a Multi-Purpose Low-Cost Hyperspectral Imaging System
* Design and Development of a Smart Variable Rate Sprayer Using Deep Learning
* Design and development of a virtual reality system for vocational rehabilitation of individuals with disabilities
* Design and Development of an Image Processing Based Adaptive Traffic Control System with GSM Interface
* Design and Development of an Internet of Smart Cameras Solution for Complex Event Detection in COVID-19 Risk Behaviour Recognition
* Design and Development of Array POS for Airborne Remote Sensing Motion Compensation
* Design and Development of Spinning Bike Game Based on VR Technology
* Design and enhancement of painting interface for room lights
* Design and Estimation of Coded Exposure Point Spread Functions
* Design and evaluation of 3D cursors and motion parallax for the exploration of desktop virtual environments
* Design and Evaluation of a Controller to Achieve Optimum Seeding Rate With Specific Spatial Management in Agricultural Machinery
* Design and Evaluation of a Flexible Interface for Spatial Navigation
* Design and evaluation of a full-wave surface and bottom-detection algorithm for LiDAR bathymetry of very shallow waters
* Design and Evaluation of a Generic Method for Generating Mosaicked Multispectral Filter Arrays, The
* Design and Evaluation of a Haptic Computer-Assistant for Telemanipulation Tasks
* Design and evaluation of a low-cost 3D interaction technique for wearable and handled AR devices
* Design and Evaluation of a Multistage Object Detection Approach
* Design and evaluation of a parallel and optimized light-tissue interaction-based method for fast skin lesion assessment
* Design and Evaluation of a Permanently Installed Plane-Based Calibration Field for Mobile Laser Scanning Systems
* Design and evaluation of a receptor
* Design and Evaluation of a Robust Optical Beam-Interruption-Based Vehicle Classifier System
* Design and Evaluation of a Semi-Automated Site Modeling System
* Design and Evaluation of a Sound Based Water Flow Measurement System
* Design and evaluation of a system for microscope-assisted guided interventions (MAGI)
* Design and Evaluation of a Teleoperated Robotic 3-D Mapping System using an RGB-D Sensor
* Design and Evaluation of a Touch-Centered Calming Interaction with a Social Robot
* Design and Evaluation of a Viewer-Dependent Stereoscopic Display
* Design and evaluation of a visual acclimation aid for a semi-natural locomotion device
* Design and evaluation of algorithms for image retrieval by spatial similarity
* Design and evaluation of an automatic procedure for detection of large misregistration of medical images
* Design and Evaluation of an Entirely Psychovisual-Based Coding Scheme
* Design and Evaluation of Charging Station Scheduling Strategies for Electric Vehicles
* Design and Evaluation of Context-Aware and Location-Based Service Discovery Protocols for Vehicular Networks
* Design and Evaluation of Feature Detectors
* Design and Evaluation of Features That Best Define Text in Complex Scene Images
* Design and Evaluation of Gesture Interface of an Immersive Walk-through Application for Exploring Cyberspace
* Design and Evaluation of More Accurate Gradient Operators on Hexagonal Lattices
* Design and evaluation of mouse cursors in a stereoscopic desktop environment
* Design and Evaluation of Multispectral LiDAR for the Recovery of Arboreal Parameters
* Design and evaluation of photometric image quality measures for effective face recognition
* Design and evaluation of spatial similarity approaches for image retrieval
* Design and Experiment of A High Payload Fixed Wing VTOL UAV System For Emergency Response
* Design and Experimental Evaluation of an Aerial Solution for Visual Inspection of Tunnel-like Infrastructures
* Design and experimental study of an ultrasonic sensor system for lateral collision avoidance at low speeds
* Design and Experimental Validation of a Cooperative Driving Control Architecture for the Grand Cooperative Driving Challenge 2016
* Design and Experimental Validation of a Cooperative Driving System in the Grand Cooperative Driving Challenge
* Design and Experimental Verification of a Hip Exoskeleton Based on Human-Machine Dynamics for Walking Assistance
* Design and Experiments of Photon Counting Imaging Test Platform
* Design and fabrication of a teleoperated explorer mobile robot
* Design and Field Experiment of the Coastal Acoustic Tomography
* Design and formal proof of a new optimal image segmentation program with hypermaps
* Design and FPGA-Based Realization of a Chaotic Secure Video Communication System
* Design and FPGA implementation of a wireless hyperchaotic communication system for secure real-time image transmission
* Design and FPGA Implementation of an Adaptive video Subsampling Algorithm for Energy-Efficient Single Object Tracking
* Design and FPGA implementation of non-separable 2-d biorthogonal wavelet transforms for image/video coding
* Design and Fusion of Pose-Invariant Face-Identification Experts
* Design and hardware architecture of high-order conditional entropy coding for images
* Design And Implement An Interoperable Internet Of Things Application Based on an Extended OGC Sensor Things API Standard
* Design and Implementation of 256-Point Radix-4 100 Gbit/s FFT Algorithm into FPGA for High-Speed Applications
* Design and Implementation of a 4D Web Application for Analytical Visualization of Smart City Applications
* Design and Implementation of a Bandwidth Sensitive Distributed Continuous Media File System Using the Fibre Channel Network
* Design and implementation of a card reader based on build-in camera
* Design and implementation of a cluster based smart camera array application framework
* Design and Implementation of a Colour Vision Model for Computer Vision Applications
* Design and implementation of a computational processing system for off-line digital close-range photogrammetry
* Design and implementation of a computer vision-guided greenhouse crop diagnostics system
* Design and implementation of a contactless palm print and palm vein sensor
* Design and implementation of a control system using AVR microcontroller
* Design and Implementation of a DMD Based Volumetric 3D Display
* Design and Implementation of a Dynamic Adaptive Video Streaming System with a Buffer Aware Rate Selection Algorithm
* Design and implementation of a fast algorithm for modulated lapped transform
* Design and Implementation of a Foveal Projection Display
* Design and Implementation of a Fuzzy-Modified Ant Colony Hardware Structure for Image Retrieval
* Design and implementation of a fuzzy hardware structure for morphological color image processing
* Design and Implementation of a Generic Sparse Bundle Adjustment Software Package Based on the Levenberg-Marquardt Algorithm, The
* Design and implementation of a high level programming environment for FPGA-based image processing
* Design and implementation of a highly efficient fractional motion estimation for the HEVC encoder
* Design And Implementation Of A Low-cost UAV-based Multi-sensor Payload For Rapid-response Mapping Applications
* Design and Implementation of a Low-Level Image Segmentation Architecture -- LISA
* Design and Implementation of a Mobile Context-aware Model of Traditional Chinese Medical Health Preserving Based on Ontology
* Design and Implementation of a Multi-Band Active Radar Calibrator for SAR
* Design and implementation of a multi-PNN structure for discriminating one-month abstinent heroin addicts from healthy controls using the P600 component of ERP signals
* Design and implementation of a new efficient median filtering algorithm
* Design and implementation of a novel linear-array DCT/IDCT processor with complexity of order log2N
* Design and implementation of a novel low complexity symmetric orthogonal wavelet filter-bank
* Design And Implementation of a Novel Video Coding Algorithm Using Wavelet Footprints and Nonlinear Approximation
* Design and Implementation of a Picture Processor
* Design and implementation of a programmable stack filter
* Design and Implementation of a Real-Time Global Tone Mapping Processor for High Dynamic Range Video
* Design and Implementation of a Repository for the Management of Spatial Data Integrity Constraints, The
* Design and Implementation of a Robot Soccer Team Based on Omni-Directional Wheels
* Design and Implementation of a Robust Decision Support System for Marine Space Resource Utilization
* Design and Implementation of a Robust Palm Biometrics Recognition and Verification System
* Design and Implementation of a Simulator to Emulate Elder Behavior in a Nursing Home
* Design and implementation of a teleconferencing system using improved HEVC coding
* design and implementation of a Visual Workflow Modeling tool based on Eclipse plug-ins, The
* Design and implementation of a wide area, large-scale camera network
* Design and Implementation of an Autonomous Spill Cleaning Robotic System
* Design and implementation of an efficient hardware integer motion estimator for an HEVC video encoder
* Design and Implementation of an Embedded Image Capture Device for Mobile Robots
* Design and implementation of an estimator of fractal dimension using fuzzy techniques
* Design and Implementation of an Image CoProcessor
* Design and implementation of an immersive virtual reality system based on a smartphone platform
* Design and implementation of an interactive HMD for wearable AR system
* Design and Implementation of an MPEG-2 Transport Stream Multiplexer for HDTV Satellite Broadcasting
* Design and Implementation of an Optical Astronomical Satellite Tracking System, The
* Design and Implementation of Content-Based Natural Image Retrieval Approach Using Feature Distance
* design and implementation of COSEN, an iterative algorithm for fully 3-D listmode data, The
* Design and Implementation of Crowdsourcing Based China's National Public Geospatial Information Collection System
* design and implementation of dip arrow plot pattern recognition system, The
* Design and Implementation of Efficient Architectures for Color Space Conversion
* Design and Implementation of Efficient Video Stabilization Engine Using Maximum a Posteriori Estimation and Motion Energy Smoothing Approach
* Design and implementation of embedded computer vision systems based on particle filters
* Design and Implementation of Face Tracking in Real Time Multimedia Recording System, The
* Design and Implementation of Flood Monitoring and Assessment System
* Design and implementation of geo-tagged video search framework
* Design and Implementation of Geospatial Information Verification Middle Platform for Natural Resources Government Affairs, The
* Design and Implementation of High-Speed Visual Tracking System for Real-Time Motion Analysis
* Design and implementation of high resolution face image acquisition system under low illumination based on the open source computer vision library
* Design and implementation of human-computer interaction system based on real-time tracking of the shoot point from the light pen
* Design and implementation of image kernels using reversible logic gates
* Design and Implementation of Linkage Update Management System For Geo-information Service Platform
* Design and implementation of Log-Gabor filter in fingerprint image enhancement
* design and implementation of lower limb rehabilitation robot based on BWSTT, The
* Design and implementation of MPEG audio layer III decoder using graphics processing units
* Design and Implementation of Multi-temporal Image Service System On National Platform for Geospatial Information Services in China
* Design and implementation of multidimensional Y-C separation filters for NTSC signals
* Design and Implementation of Multisteerable Matched Filters
* Design and Implementation of Parallel Video Encoding Strategies Using Divisible Load Analysis
* Design and Implementation of People Tracking Algorithms for Visual Surveillance Applications
* Design and Implementation of Power Supply of High-Power Diode Laser of LiDAR Onboard UAV
* Design and implementation of real-time software-based H.261 video codec
* Design and Implementation of Real Time System for Object Detection and Classification on Parallel Virtual Machine
* Design and Implementation of ROS-based 5G Operation and Maintenance Center Inspection Robot Navigation System
* Design and Implementation of Sensor-Embedded Chair for Continuous Sitting Posture Recognition
* Design and Implementation of SPIDER: A Transportable Image Processing Software Package
* Design and Implementation of the Three-Dimensional Observation System for Adult Zebrafish
* Design and implementation of the visual programming environment for the distributed image processing
* Design and implementation of three-phase SVPWM inverter with 16-bit dsPIC
* Design and Implementation of Trajectory Data Management and Analysis Technology Framework Based on Spatiotemporal Grid Model
* Design and Implementation of Two-Dimensional Fully Recursive Digital Filters
* Design and implementation of video conference system based on Flex and J2EE
* Design and Implementation of Wavelet-domain Video Compression Using Multiresolution Motion Estimation And Compensation
* Design and implementation of wireless sensor network-monitoring system for leak detection
* Design and Implementation ofUE4 Natural Phenomenon Simulation System
* Design and Interpretation of Universal Adversarial Patches in Face Detection
* Design and learn distinctive features from pore-scale facial keypoints
* Design and Modeling of the Generally Adopted Progressive Image Transmission Regulator and Its Application
* Design and operation of an imaging sensor for detecting vegetation
* Design and optimisation of an In-wheel switched reluctance motor for electric vehicles
* Design and optimisation of multimodal traffic strategy for low-mobility individuals
* Design and Optimization of a Differentially Coded Variable Block Size Motion Compensation System
* Design and optimization of a long-stroke compliant micropositioning stage driven by voice coil motor
* Design and Optimization of a Parallel Architecture Dedicated to Image Matching
* Design and Optimization of Color Lookup Tables on a Simplex Topology
* Design and Optimization of Nonlinear Observers for Road Curvature and State Estimation in Automated Vehicles
* Design and Optimization of the Model for Traffic Signs Classification Based on Convolutional Neural Networks
* Design and Optimization of the VideoWeb Wireless Camera Network
* Design and parallel computation of regularised fast Hartley transform
* Design and perceptual validation of performance measures for salient object segmentation
* Design and Performance Analysis of a Skin-Stretcher Device for Urging Head Rotation
* Design and Performance Analysis of BDS-3 Integrity Concept
* Design and Performance Analysis of Intra-Vehicle VLC System With Random Receiver Orientation
* Design and Performance Analysis of Linear Phase Para-Unitary M Band Filter Banks for Image Coding
* Design and Performance Enhancements in Communication-Based Train Control Systems With Coordinated Multipoint Transmission and Reception
* Design and Performance of a 1 mm3 Resolution Clinical PET System Comprising 3-D Position Sensitive Scintillation Detectors
* Design and performance of a novel low-density parity-check code for distributed video coding
* Design and Performance of TRISH, a Binocular Robot Head with Torsional Eye Movements
* Design and Performance Study of Scalable Video Storage in a Disk-Array-Based Video Server
* Design and Preliminary Evaluation of a Finger-Mounted Camera and Feedback System to Enable Reading of Printed Text for the Blind, The
* Design and Processing of Invertible Orientation Scores of 3D Images
* Design And Product Of National 1:1000000 Cartographic Data Of Topographic Map, The
* Design and prototype development of a computer vision-based lumber production planning system
* Design and Prototyping a Smart Deep Brain Stimulator: An Autonomous Neuro-Sensing and Stimulating Electrode System
* Design and Real-Time Implementation of A 3-D Rational Filter for Edge-Preserving Smoothing
* Design and Realisation of a Parallel Systolic Architecture Dedicated to Aerial Image Matching
* Design and Realization of a Framework for Human-System Interaction in Smart Homes
* Design and Realization of Multi-Functional Gateway Based on SingleChip
* Design and Realization of the Online Face Recognition System
* Design and Recovery of 2-D and 3-D Shapes Using Rational Gaussian Curves and Surfaces
* Design and Research on the Virtual Simulation Teaching Platform of Shanghai Jade Carving Techniques Based on Unity 3D Technology
* Design And restoration: the Roots of Architecture Porject for The Built
* Design and Simulation of Stellar Occultation Infrared Band Constellation
* Design and Stability Analysis of Multi-Objective Ensemble Classifiers
* Design and Statistical Analysis of a Hash-Aided Image Watermarking System
* Design and Synthesis for Multimedia Systems Using the Targeted Dataflow Interchange Format
* Design and Testing of a LIDAR Platform for a UAV for Heritage Mapping, The
* design and the development of a hyperspectral and multispectral airborne mapping system, The
* Design and use of DIP-1: A fast, flexible and dynamically microprogrammable pipelined image processor
* Design and Use of Linear Models for Image Motion Analysis
* Design and Use of Some New Digital Musical Instruments
* Design and Use of Special Purpose Processors for the Machine Processing of Remotely Sensed Data, The
* Design and Use of Steerable Filters, The
* Design and Validation of a Cascading Vector Tracking Loop in High Dynamic Environments
* Design and Verification of a Double-Grating Spectrometer System (DGSS) for Simultaneous Observation of Aerosols, Water Vapor and Clouds
* Design and Verification of a Rail-Borne Energy Harvester for Powering Wireless Sensor Networks in the Railway Industry
* Design and VLSI implementation of QMF banks
* Design Architecture for IMPlayer as a Tool for Supporting Visual Education Presentation
* Design Automation for Smart Building Systems
* Design Compact Recognizers of Handwritten Chinese Characters Using Precision Constrained Gaussian Models, Minimum Classification Error Training and Parameter Compression
* Design concepts for an on-board parallel image processor
* Design Considerations for a Range Image Sensor Containing a PSD Array and an On-Chip Multiplexor
* Design considerations for a space-variant visual sensor with complex-logarithmic geometry
* Design considerations for fabric-based input for surface design
* Design considerations for generic grouping in vision
* Design considerations for image segmentation quality assessment measures
* Design Considerations for Implementing an Interactive DigiLog Book
* Design Considerations for Interacting and Navigating with 2 Dimensional and 3 Dimensional Medical Images in Virtual, Augmented and Mixed Reality Medical Applications
* Design Considerations in PCM Transmission of Low-Resolution Monochrome Still Pictures
* Design Considerations in the Real-Time Implementation of Multiple Expert Image Classifiers within a Modular and Flexible Multiple-platform Design Environment
* Design Considerations of PRF for Optimizing GMTI Performance in Azimuth Multichannel SAR Systems With HRWS Imaging Capability
* Design considerations of smart displays
* Design Considerations of the Video Compression System of the New DV Camcorder Standard
* Design efficient support vector machine for fast classification
* Design Error-Resilient Multiple Substreams 3D Coder Including Receiver Post-Processing in Analysis
* Design Eye-Tracking Augmented Reality Headset to Reduce Cognitive Load in Repetitive Parcel Scanning Task
* Design Features and Mutual Compatibility Studies of the Time-of-Flight PET Capable GE SIGNA PET/MR System
* Design flexibility using FPGA dynamical reconfiguration
* design for a mobile robotic avatar: Modular framework, A
* Design for a Visual-Motion Transducer, A
* Design for Embedded Image Processing on FPGAs
* Design for Knowledge and Restoration
* Design for Testability of Open Defects at Interconnects in 3D Stacked ICs, A
* Design for the ACFM Sensor and the Signal Processing Based on Wavelet De-Noise
* Design Framework for an Integrated Sensor Orientation Simulator, A
* design framework for hierarchical ensemble of multiple feature extractors and multiple classifiers, A
* design framework for hybrid approaches of image noise estimation and its application to noise reduction, A
* Design Framework for Sketch Based Technique in 3D Navigation of Cluttered Virtual Environment
* Design Framework for Social Virtual Reality Experiences: Exploring Social and Cultural Dimensions for Meaningful and Impactful VR, A
* Design Framework of Image Sensor System Based on Dynamic Range Extension by Adding Noise for Saturated Conditions
* Design Goals and Solutions for Display of Hyperspectral Images
* Design Implications from Cybersickness and Technical Interactions in Virtual Reality
* Design Issues and Architecture of HACIENDA, an Experimental Image Processing System
* Design Issues for a Colour Photometric Stereo System
* Design issues in multi-camera systems
* Design Method for Relaxation Labeling Applications, A
* design method of fuzzy weighted median filters, A
* Design method of PID-type model predictive iterative learning control based on the two-dimensional generalized predictive control scheme
* Design Methodology for Highly Reliable Character Recognition Systems, A
* design methodology for selection and placement of sensors in multimedia surveillance systems, A
* Design of 2-D Explicit Depth Extrapolators Using the Cauchy Norm, The
* Design of 2-D FIR filter possessing purely imaginary frequency response by the transformation method
* Design of 2-D Perfect Reconstruction Diamond-Shaped and Fan-Shaped FIR Filter Banks
* Design of 2-D state-space digital filters with powers-of-two coefficients based on a genetic algorithm
* Design of 2-Dimensional Gradient Estimators Based on One-Dimensional Operators, The
* Design of 2D Recursive Filters Using Singular Value Decomposition Techniques
* Design of 3D and 4D Apps for Cultural Heritage Preservation
* Design of 3D Topological Data Structure for 3D Cadastre Objects
* Design of 8-Bit Serial Real-Time Decoder Based on Complex Programmable Logic Device
* Design of a 5G Multimedia Broadcast Application Function Supporting Adaptive Error Recovery
* Design of a business contingency plan. Case study: Municipality of Cantón Suscal.
* Design of a Chinese name card understanding system
* Design of a Chromatic 3D Camera with an End-to-End Performance Model Approach
* Design of a Classification Strategy for Light Microscopy Images of the Human Liver
* Design of a color reproduction neural network chip with on-chip learning capability
* Design of a Compact Sound Localization Device on a Stand-Alone FPGA-Based Platform
* Design of a computer vision system for a differential spraying operation in precision agriculture using hebbian learning
* Design of a context-adaptive variable length encoder for real-time video compression on reconfigurable platforms
* Design of A Crowdsourced 3d Cadastral Technical Solution
* Design of a cryptosystem for DCT compressed image using Arnold transform and fractional Fourier transform
* Design of a Didactical Activity for the Analysis of Uncertainties in Thermography through the Use of Robust Statistics as Teacher-Oriented Approach
* Design of a Digital Array Signal Processing System with Full Array Element
* Design of a dynamically reconfigurable, integrated, parallel vision system
* design of a face recognition system based on skin color and geometrical characteristics, The
* Design of a focused light field fundus camera for retinal imaging
* Design of a Folded, Double-Tuned Loop Coil for ¹H/X-Nuclei MRI Applications
* Design Of A Free And Open Source Data Processing, Archiving, And Distribution Subsystem For The Ground Receiving Station Of The Philippine Scientific Earth Observation Micro-satellite
* Design of a Generic 3-D Scene Generator for Passive Optical Missions and Its Implementation for the ESA's FLEX/Sentinel-3 Tandem Mission
* Design of a Generic Mobile GIS for Professional Users
* Design of a Generic Virtual Measurement Workflow for Processing Archived Point Cloud of Trees and Its Implementation of Light Condition Measurements on Stems
* Design of a GIS-Based Web Application for Simulating Biofuel Feedstock Yields
* Design of a Global Retrieval System for Characteristic Data Based on SOLR
* Design of a graph-representation and a fuzzy-classifier for human chromosomes
* Design of a Grating Lobes-Free Architecture for Distributed Sensor System with Arbitrary Element Spacing
* Design of a Handprint Recognition System
* Design of a Haptic Gas Pedal for Active Car-Following Support
* Design Of A High Performance Earth Imagery And Raster Data Management And Processing Platform, The
* Design of a Library for Dense Matching
* Design of a Local Nested Grid for the Optimal Combined Use of Landsat 8 and Sentinel 2 Data
* Design of a low cross-talk micro-coil array for micro-scale MRI
* Design of a Mathematical Expression Understanding System
* Design of a Medical Image Database with Content-Based Retrieval Capabilities
* Design of a memory-scalable wavelet-based image codec
* Design of a Mobile Charging Service for Electric Vehicles in an Urban Environment
* Design of a Model Base Framework for Model Environment Construction in a Virtual Geographic Environment (VGE)
* Design of a Monochromatic Pattern for a Robust Structured Light Coding
* Design of a Multiagent System for Real-Time Traffic Control
* Design of a Multilayered Feed-Forward Neural Network Using Hypersphere Neurons
* Design of a Neural Network Character Recognizer for a Touch Terminal
* Design of a New Kind of LDPC Decoder
* design of a new resistor string DAC for phones applications in 130nm technology, A
* Design of a new trading card for table-top augmented reality game environment
* design of a nonparametric hierarchical classifier, The
* Design of A Novel Gait Simulator for Rehabilitation Training
* Design of a Novel Multiple-Parameter Fractional Number-Theoretic Transform and Its Application to Image Encryption, The
* Design of a Novel Spectral Albedometer for Validating the MODerate Resolution Imaging Spectroradiometer Spectral Albedo Product
* Design of a Parallel Transmit Head Coil at 7T With Magnetic Wall Distributed Filters
* Design of a Photo Interpretation Automaton
* Design of a practical scanner unit for precision analysis of micrographs
* Design of a Prototype Interactive Cartographic Display and Analysis Environment
* Design of a pseudo-holographic distributed time-of-flight sonar range-imaging system
* Design of a Quadrature 1H/31P Coil Using Bent Dipole Antenna and Four-Channel Loop at 3T MRI
* Design of a Query Language for Accessing Spatial Analysis in the Web Environment
* Design of a Real-Time Embedded Stereo Smart Camera
* Design of a Reconfigurable 3D Pixel-Parallel Neuromorphic Architecture for Smart Image Sensor
* Design of a Saccading and Accommodating Robot Vision System
* Design of a Scalable Multicast Scheme With an Application-Network Cross-Layer Approach
* Design of a Semanitcally Directed Vision Processor
* Design of a Serverless OGC WPS Based Geoprocessing Service Solution
* Design of a service-based framework for generic 3D information visualization
* Design of a shift-and-add based hardware accelerator for color space conversion
* Design of a simulink model for uncertainty quantification of concentration of contaminant transport through ground water
* Design Of A Single-Lens Stereo Camera System
* Design of a six DOF reconfigurable gripper for flexible fixtureless assembly
* Design of a solar-powered mobile manipulator using fuzzy logic controller of agriculture application
* design of a stereo panorama camera for scenes of dynamic range, The
* Design of a Transmission Protocol for a CVE
* Design of a Transport Coding Scheme for High-Quality Video over ATM Networks
* Design of a User Interface to Estimate Distance of Moving Explosive Devices with Stereo Cameras
* Design of a Vision-Based Sensor for Autonomous Pig House Cleaning
* Design of a visual environment for evaluating and customizing medical image compression techniques
* Design of a Wireless Node of Strain Data Acquisition, The
* Design of a Wireless Vision Sensor for object tracking in Wireless Vision Sensor Networks
* Design of Adaptive and Nonadaptive Quantizers Using Subjective Criteria
* Design of adaptive biometric gait recognition algorithm with free walking directions
* Design of Adaptive Stack filters Using Pattern Classification, A
* Design of Advanced Digital Image Processing Systems, The
* Design of Algorithm Development Interface for Fingerprint Verification Algorithms
* Design of alignment-free cancelable fingerprint templates via curtailed circular convolution
* Design of Alignment-Free Cancelable Fingerprint Templates with Zoned Minutia Pairs
* Design of Allpass Variable Fractional Delay Filter with Powers-of-Two Coefficients
* Design of Almost Symmetric Orthogonal Wavelet Filter Bank Via Direct Optimization
* Design of an Acceleration Redistribution Cooperative Strategy for Collision Avoidance System Based on Dynamic Weighted Multi-Objective Model Predictive Controller
* Design of an Active Set Top Box in a Wireless Network for Scalable Streaming Services
* Design of an Airborne Three-Dimensional Separation Assistance Display
* design of an animal PET: flexible geometry for achieving optimal spatial resolution or high sensitivity, The
* Design of an annotation system for taking notes in virtual reality
* Design of an Antenna Array for GNSS/GPS Network
* Design of an Anthropomorphic Robot Head
* Design of an autofocus capsule endoscope system and the corresponding 3D reconstruction algorithm
* Design of an Automatic Wood Types Classification System by Using Fluorescence Spectra
* Design of an Autonomous Agricultural Robot
* Design of an Emergency Wake-up Alert System Utilizing Digital Television Guard Band
* Design of an End-to-End Dual Mode Driver Distraction Detection System
* Design of an end-to-end method to extract information from tables
* Design of an Expert System for Object Classification Through an Application to the Classification of Galaxies
* Design of an FPGA-Based High-Quality Real-Time Autonomous Dehazing System
* Design of an ICT convergence farm machinery for an automatic agricultural planter
* Design of an image restoration algorithm for the TOMBO imaging system
* Design of an improved lossless halftone image compression codec
* Design of an Innovative Downhole NMR Scanning Probe
* Design of an Interactive Experience Journey in a Renovated Industrial Heritage Site
* Design of an On-Line Signature Verification System: From Theory to Practice, The
* Design of an optimal nearest neighbor classifier using an intelligent genetic algorithm
* Design of an Optimal Soil Moisture Monitoring Network Using SMOS Retrieved Soil Moisture
* Design of an Ultrasonic Detecting System Based on LabVIEW
* Design of an Unmanned Ground Vehicle and LiDAR Pipeline for the High-Throughput Phenotyping of Biomass in Perennial Ryegrass
* Design of anchor boxes and data augmentation for transformer-based vehicle localization
* Design of Application Architecture for 3d Safety Status Information Platform
* Design of Application Architecture for Spatial Information Based Volcanic Disaster Response System
* Design of area CCD imaging system based on FPGA
* Design of Asymptotically Optimal Unrestricted Polar Quantizer for Gaussian Source
* Design of bivariate sinc wavelets
* Design of Blockchain enabled intrusion detection model for detecting security attacks using deep learning
* Design of cancelable MCC-based fingerprint templates using Dyno-key model
* Design of CGAN Models for Multispectral Reconstruction in Remote Sensing
* Design of Channel-Optimized Vector Quantizers in the Presence of Channel Mismatch
* Design of Chaotic Waveforms for Application to Active Sonar
* Design of Clinical Support Systems Using Integrated Genetic Algorithm and Support Vector Machine
* Design of Collusion-Resistant Fingerprinting Systems: Review and New Results
* Design of color screen sets for robustness to color plane misregistration
* design of combinational deformable mirror of multi-conjugated adaptive optics, The
* Design of committee machines for classification of single-wavelength lidar signals applied to early forest fire detection
* Design of complex adaptive multiresolution directional filter bank and application to pansharpening
* Design of Complex Multi-Dimensional FIR Filters by Transformation
* design of composite adaptive morphological filter and applications to Rician noise reduction in MR images, The
* Design of Composite Classifier Systems in Imperfectly Supervised Environments
* Design of Compressed Sensing System With Probability-Based Prior Information
* Design of Cone and Pendulum Scanning Mode Using Dual-Camera with Multi-Dimensional Motion Imaging Micro-Nanosatellite, The
* Design of Constant Modulus Discrete Phase Radar Waveforms Subject to Multi-Spectral Constraints
* Design of correlation filters for recognition of linearly distorted objects in linearly degraded scenes
* Design of coupled strong classifiers in AdaBoost framework and its application to pedestrian detection
* Design of Differential-Low Earth Orbit Opportunistically Enhanced GNSS (D-LoeGNSS) Navigation Framework, A
* Design of Digital Fan Filters
* Design of digital FIR variable fractional order integrator and differentiator
* Design of digital parametric equalizer based on second-order function
* Design of distributed cooperative observer for heavy-haul train with unknown displacement
* Design of Distributed Hypermedia Systems based on Hypermedia-on-Demand Architecture
* Design of doubly complementary filters with approximate linear phase
* Design of Effective Multiple Classifier Systems by Clustering of Classifiers
* Design of effective neural network ensembles for image classification purposes
* Design of efficient line segment detectors for cereal grain inspection
* Design of Embedded Terminal for Intelligent Transportation Video Surveillance System, A
* design of embedded vehicle-mounted anti-collision system, The
* Design of Energy- and Cost-Efficient Massive MIMO Arrays
* Design of Extended Depth-of-Focus Laser Beams Using Orthogonal Beam Expansions
* Design of Extensible Structured Interferometric Array Utilizing the Coarray Concept
* Design of f-SCAN Acquisition Mode for Synthetic Aperture Radar
* Design of Face Recognition Attendance
* Design of Fast Connected Components Hardware
* Design of Fast Motion Estimation Algorithm Based on Hardware Consideration
* Design of Feature Extraction Operators for Use on Biologically Motivated Hexagonal Image Structures
* Design of Feedforward Neural Networks in the Classification of Hyperspectral Imagery Using Superstructural Optimization
* Design of Fiducials for Accurate Registration Using Machine Vision
* Design of filter for image de-noising using discrete wavelet transform for ASIP
* Design of frame dependency for VCR streaming videos
* Design of Frequency-Hopping Waveforms Based on Ambiguity Function
* Design of Fuzzy Identification System for Patterns of Gas-Liquid Two-Phase Flow on LabVIEW
* Design of fuzzy inference system for apple ripeness estimation using gradient method
* Design of fuzzy observer for a class of Takagi-Sugeno descriptor systems subject to unknown inputs
* Design of General Projection Neural Networks for Solving Monotone Linear Variational Inequalities and Linear and Quadratic Optimization Problems
* design of granular classifiers: A study in the synergy of interval calculus and fuzzy sets in pattern recognition, The
* Design of hardware-efficient digital hearing aids using non-uniform MDFT filter banks
* Design of hardware RGB to HMMD converter based on reversible logic
* Design of HDTV subband filterbanks considering VLSI implementation constraints
* Design Of Hexagonal Sampling Structures for Image Digitization and Their Use with Local Operators, The
* Design of Hierarchical Fuzzy Classification System Based on Statistical Characteristics of Data
* Design of High-Level Features for Photo Quality Assessment, The
* Design of high-resolution quantization scheme with exp-Golomb code applied to compression of special images
* Design of High-Speed Image Processing System for Weak-Dim Target Based on FPGA
* Design of high capacity 3D print codes aiming for robustness to the PS channel and external distortions
* Design of High Performance Wavelets for Image Coding
* Design of high speed weighted fuzzy mean filters with generic LR fuzzy cells
* Design of Hilbert transform pairs of orthonormal wavelet bases using Remez exchange algorithm
* Design of IIR Notch Filters with Different Passband Gains
* Design of IIR orthogonal wavelet filter banks using lifting scheme
* Design of image confusion-diffusion cryptosystem based on vector quantization and cross chaotic map
* Design of Image Dehazing Engine Using DTE and DAE Techniques, A
* Design of Incoherent Frames via Convex Optimization
* Design of Indoor Robot Prototype Guided by RFID Based Positioning and Navigation System
* Design of Infrared Electronic-Toll-Collection Systems With Extended Communication Areas and Performance of Data Transmission
* Design of Inherently Stable Two-Dimensional Recursive Filters from One-Dimensional Filters
* Design of Insect Target Tracking Algorithm in Clutter Based on the Multidimensional Feature Fusion Strategy
* Design of Intelligent Workflow for GIS Functions: A Data Quality Perspective, The
* Design of Interchannel MRF Model for Probabilistic Multichannel Image Processing
* Design of Interpolation Functions for Subpixel-Accuracy Stereo-Vision Systems
* Design of Kernels in Convolutional Neural Networks for Image Classification
* Design of Lapped Orthogonal-Transforms
* Design of Large Intelligent Image Database-Systems
* Design of light-emitting-diode array for solving problems of irregular radiation pattern and signal attenuation for infrared electronic-toll-collection systems
* Design of linear-phase IIR digital filters using singular perturbational model reduction
* Design of linear-phase nonsubsampled nonuniform directional filter bank with arbitrary directional partitioning
* design of linear binary wavelet transforms and their application to binary image compression, The
* Design of Linear Equalizers Optimized for the Structural Similarity Index
* Design of Livestock Management Tool for Climate Change Risk In Mongolia
* Design of low-complexity Farrow structure-based reconfigurable filters for parallel spectrum hole detection
* Design of Low-Complexity High-Performance Wavelet Filters for Image Analysis
* design of low-complexity in linear-phase FIR filter banks using powers-of-two coefficients with an application to subband image coding, The
* Design of M channel IIR causal stable perfect reconstruction filter banks using similarity transformation
* Design of Manipuri Keywords Spotting System using HMM
* Design of Massive-MIMO-NOMA With Limited Feedback
* Design of Matched Wavelet Using Improved Genetic Algorithm for Heart Rate Variability Analysis of the Menstrual Cycle
* Design of Micro Photon Sieve Arrays for High Resolution Light-Field Capture in Plenoptic Cameras
* Design of microassembly system and research on coarse-to-fine alignment strategy in combination with active zooming
* Design of Morphological Filters Using Multiple Structuring Elements, Part I: Openings and Closings, The
* Design of Morphological Filters Using Multiple Structuring Elements, Part II: Open (Close) and Close (Open), The
* Design of MP3 Audio Signal System Based on DSP
* Design of multi-channel CCD signal processing system based on FPGA
* Design of Multi-Dimensional Derivative Filters
* Design of Multi-kernel Distance Based Hashing with Multiple Objectives for Image Indexing
* Design of multi-scale receptive field convolutional neural network for surface inspection of hot rolled steels
* Design of Multi-Steerable Filters and their Application for the Detection of Corners and Junctions
* Design Of Multicategory Multifeature Split Decision Trees Using Perceptron Learning
* Design of Multimodal Dissimilarity Spaces for Retrieval of Video Documents
* Design of Multiparameter Steerable Functions Using Cascade Basis Reduction
* Design of Multiple Spatial Context Detection Method Considering Elongated Top-Bounded Spaces Based on GPS Signal-To-Noise Ratio and Fuzzy Inference
* Design of multistage weighted order statistic filters by a neural network
* Design of museum advertisement picture management system based on web
* Design of MWIR Continuous Zoom with Light Weight
* Design of Near-Perfect Reconstruction Two-Parallelogram Filter-Banks
* Design of Near Orthogonal Graph Filter Banks
* Design of new class of regular biorthogonal wavelet filter banks using generalized and hybrid lifting structures
* Design of New Optimized Architecture Processor for DWT
* Design of New Surface Detection Operators in the Case of an Anisotropic Sampling of 3D Volume Data
* Design of New Unitary Transforms for Perceptual Video Encryption
* Design of Non-Linear Discriminative Dictionaries for Image Classification
* Design of Non-Linear Kernel Dictionaries for Object Recognition
* Design of non-separable transforms for directional 2-D sources
* Design of nonlinear-phase filter banks for subband coding of images
* Design of Nonseparable 3-D Filter Banks Wavelet Bases Using Transformations of Variables
* Design of Nonsubsampled Graph Filter Banks via Lifting Schemes
* Design of Observer for Cardiovascular Anomalies Detection: an LMI approach
* Design of Optimal Adaptive Filters for Two-Dimensional Filamentary Structures Segmentation
* Design of optimal binary filters under joint multiresolution-envelope constraint
* Design of optimal blind watermarking technique based on MOEA/D
* Design of Optimal Cascaded Multirate Filter Banks in the Presence of Quantization
* Design of Optimal Fixed-Rate Unrestricted Polar Quantizer for Bivariate Circularly Symmetric Sources
* Design of Optimal Gaussian Operators in Small Neighborhoods
* Design of Optimal Stack Filter Under MAF Criterion
* Design of optimized prefilters for time-domain lapped transforms with various downsampling factors
* Design of Orientation Assessment Functions for Gestalt-grouping Utilizing Labeled Sample-data
* Design of Orthogonal and Biorthogonal Lapped Transforms Satisfying Perception Related Constraints
* Design of orthogonal transforms based on partition of unity method and their application to image compression
* Design of Outpatient Services in Children's Hospitals Based on the Double Diamond Model, The
* Design of oversampled nonuniform filter banks with arbitrary rational frequency partitioning
* Design of Pattern Classifiers Using Optimum-Path Forest with Applications in Image Analysis
* Design of Perimeter Estimators for Digitized Planar Shapes
* Design of Perspective Affine Motion Compensation for Versatile Video Coding (vvc)
* Design of piecewise linear classifiers from formal neurons by a basis exchange technique
* Design of Platooning Controllers That Achieve Collision Avoidance by External Positivity
* Design of PLL-Based Synchronous PWM Oscillator in Class-D Power Amplifier
* Design of Positive-Definite Quaternion Kernels
* design of power management for passive UHF RFID tag in 90nm CMOS process, A
* Design of practical color filter array interpolation algorithms for digital cameras
* Design of process control system of rotary klin process for nickel iron production
* Design of Q-shift complex wavelets for image processing using frequency domain energy minimization
* Design of Q-shift filters with improved vanishing moments for DTCWT
* Design of Quantizers from Histograms
* Design of Real-Time Self-Frame-Rate-Control Foreground Detection for Multiple Camera Surveillance System
* Design of Reconfigurable LED Illumination Control System Based on FPGA
* Design of rectangular coaxial slot antenna for ultra-high-field magnetic resonance imaging
* Design of Recursive Digital Filters in Parallel Form by Linearly Constrained Pole Optimization
* Design Of Regular Nonseparable Bidimensional Wavelets Using Grobner Basis Techniques
* Design of reject rules for ECOC classification systems
* Design of reversible variable-length codes using properties of the Huffman code and average length function
* Design of Robust and Energy-Efficient ATO Speed Profiles of Metropolitan Lines Considering Train Load Variations and Delays
* Design of Sampling Kernels and Sampling Rates for Two-Dimensional Finite Rate of Innovation Signals
* Design of Sampling Matrices in Graph Frequency Domain for Graph Signal Processing
* Design of SC Filters for Video Applications
* Design of Searchable Commemorative Coins Image Library
* Design of self-adaptive and equilibrium differential evolution optimized radial basis function neural network classifier for imputed database
* Design of Self-Tuning IU Systems
* Design of Shape from Motion Constraints, The
* Design of signal-adapted multidimensional lifting scheme for lossy coding
* Design of Single Encoder and Decoder for Multi-view Video, The
* Design of Solids with Free-Form Surfaces
* Design of Statistical Measures for the Assessment of Image Segmentation Schemes
* Design of Steerable Filters for Feature Detection Using Canny-Like Criteria
* Design of Steerable Linear Differential Microphone Arrays With Omnidirectional and Bidirectional Sensors
* Design of Steerable Wavelets to Detect Multifold Junctions
* Design of SuperElastix: A Unifying Framework for a Wide Range of Image Registration Methodologies, The
* Design of Supervised Classifiers Using Boolean Neural Networks
* Design of Synchronization and T-STD Model for 3DTV Service over Hybrid Networks
* Design of synthesis filter banks for the structural similarity index
* Design of the 1D CNN-GRU Network Based on the RCS for Classification of Multiclass Missiles, The
* Design of the Communication Structure of Cooperative Adaptive Cruise Controllers
* Design of the IMAGINE II Scene Analysis Program, The
* Design of three-channel filter banks for lossless image compression
* Design of time unification software based on Kylin operating system
* Design of Tone-Dependent Color-Error Diffusion Halftoning Systems
* Design of tracking loop with dirty templates for UWB communication systems
* Design of Tracking, Telemetry, Command (TT&C) and Data Transmission Integrated Signal in TDD Mode
* Design of Traditional Cultural Experiences Using Augmented Reality Based on Environmental Presence
* Design of Traffic Safety Control Systems for Emergency Vehicle Preemption Using Timed Petri Nets
* Design of Tree Filter Algorithm for Random Number Generator in Crypto Module
* design of triangular biorthogonal wavelet filters with average interpolation scheme, A
* Design of Two-Channel IIR Filter Banks with Arbitrary Group Delay
* Design of two-channel linear-phase QMF banks based on real IIR all-pass filters
* Design of two-channel low-delay IIR nonuniform-division filter banks using L1 error criteria
* Design of two-channel perfect-reconstruction linear-phase filter banks for subband image coding by the Lagrange multiplier approach
* Design of two-dimensional FIR eigenfilters for sampling-structure conversion
* Design of Ultra Wide Band System Based on Multistage Digital Beam Forming
* Design of Unimodular Sequences With Good Autocorrelation and Good Complementary Autocorrelation Properties
* Design of unimodular sequences with small PSL
* Design of V2X-Based Vehicular Contents Centric Networks for Autonomous Driving
* Design of variable bandwidth symmetric/anti-symmetric FIR single-band PCLS lowpass and highpass filters
* Design of Variable Fractional Delay Filter with Fractional Delay Constraints
* Design of Variable Traffic Light Control Systems for Preventing Two-Way Grid Network Traffic Jams Using Timed Petri Nets
* Design of Vector Quantizer for Image Compression Using Self-Organizing Feature Map and Surface Fitting
* Design of Vertically Aligned Binocular Omnistereo Vision Sensor
* Design of Virtual Reality for Humanoid Robots with Inspiration from Video Games
* Design of Virtual Reality Scenes with Variable Levels of Fear Evocation
* Design of vision-based indoor positioning based on embedded system
* Design of Visualization Platform for Intelligent Distribution Room Based on 3D Modeling Technology
* Design of wavelet-based image codec in memory-constrained environment
* Design of Wetland-Ecological Corridor Using Multi-Scale Remote Sensing Image Segmentation Method
* Design of wide-band array with frequency invariant beam pattern by using adaptive synthesis method
* Design on self-balancing and track-searching cart
* Design on Validation Network of Remote Sensing Products in China
* Design optimization of a global/local tone mapping processor on arm SOC platform for real-time high dynamic range video
* Design Optimization of Spatial-Spectral Filters for Cone-Beam CT Material Decomposition
* Design options and comparison of in-network H.264/SVC adaptation
* Design Options on the Development of a New Tree-Based Wavelet Image Coder
* Design Principle for Coarse-to-Fine Classification, A
* Design Principles and Considerations for Spaceborne ATI SAR-Based Observations of Ocean Surface Velocity Vectors
* Design principles of a stream-based framework for mobility analysis
* Design Procedure for Gradient Operators on Hexagonal Images, A
* Design Pseudo Ground Truth with Motion Cue for Unsupervised Video Object Segmentation
* Design QoS-Aware Multi-Path Provisioning Strategies for Efficient Cloud-Assisted SVC Video Streaming to Heterogeneous Clients
* Design redundant Chebyshev dictionary with generalized extreme value distribution for sparse approximation and image denoising
* Design Review In A Distributed Collaborative Virtual Environment
* Design space exploration for adaptive privacy protection in airborne images
* Design sparse features for age estimation using hierarchical face model
* Design strategies for direct multi-scale and multi-orientation feature extraction in the log-polar domain
* Design Strategy for Three-Dimensional Subband Filter Banks
* Design Students Viewpoint on BIM: A Preliminary Assessment of The Indicators
* Design Study of a 0.25-Mu-M Video Signal Processor, A
* Design Study of an Ultrahigh Resolution Brain SPECT System Using a Synthetic Compound-Eye Camera Design With Micro-Slit and Micro-Ring Apertures
* design technique for two-dimensional multiplierless FIR filters for video applications, A
* Design Through Operation of an Image-Based Velocity Estimation System for Mars Landing
* Design Verification of an Optimized Wayfinding Map in a Station
* Design, analysis and application of a volumetric convolutional neural network
* Design, analysis, and engineering of video monitoring systems: An approach and a case study
* Design, Analysis, and Experiments of Preview Path Tracking Control for Autonomous Vehicles
* Design, Analysis, and Validation of a Haptic-Based Driver Support System for Traction Control
* Design, Architecture, and Control of a Mobile Site Modeling Robot
* Design, Calibration, and Evaluation of a Backpack Indoor Mobile Mapping System
* Design, Collection, and Analysis of Handwriting Sample Image Databases
* Design, Construction, and Testing of a Stereo-Photogrammetric Tool for the Diagnosis of Fetal Alcohol Syndrome in Infants
* Design, Development and Applicability Evaluation of a Digital Cartographic Model for 3D Cadastre Mapping in China
* Design, Development, and Evaluation of a Noninvasive Autonomous Robot-Mediated Joint Attention Intervention System for Young Children With ASD
* Design, Implementation and Evaluation of a Real-Time P300-based Brain-Computer Interface System
* Design, implementation and optimisation of an energy harvesting system for vehicular ad hoc networks' road side units
* Design, Implementation, and Evaluation of a Parallel Image Shape Indexer
* Design, Implementation, and Evaluation of a Point Cloud Codec for Tele-Immersive Video
* Design, Implementation, and Performance of a Scalable Multi-Camera Interactive Video Capture System
* Design, Integration, and Evaluation of Handprint OCR Systems
* Design, performance analysis, and implementation of a super-scalar video-on-demand system
* Design, simulation and experiment of a novel mass detection system with active control magnetic
* DesIGN: Design Inspiration from Generative Networks
* Designed emotions: challenges and potential methodologies for improving multisensory cues to enhance user engagement in immersive systems
* DesignerGAN: Sketch Your Own Photo
* Designing 3-D Nonlinear Diffusion Filters for High Performance Cluster Computing
* Designing 3 Dimensional Virtual Reality Using Panoramic Image
* Designing a classifier by a layered multi-population genetic programming approach
* Designing a composite dictionary adaptively from joint examples
* Designing a Context-aware Recommender System in The Optimization of The Relief and Rescue
* Designing a Deer Detection System Using a Multistage Classification Approach
* Designing a Defect Classification-System: A Case-Study
* Designing a European-Wide Crop Type Mapping Approach Based on Machine Learning Algorithms Using LUCAS Field Survey and Sentinel-2 Data
* Designing a Framework of Virtual Remote Sensing Satellite Simulation System
* Designing a Fuzzy Step Size LMS Algorithm
* Designing a Handwriting Reader
* Designing a high-throughput VLC decoder. II. Parallel decoding methods
* Designing a holographic modal wavefront sensor for the detection of static ocular aberrations
* Designing a mirror to realize a given projection
* Designing a Moral Compass for the Future of Computer Vision Using Speculative Analysis
* Designing a Multi-Objective, Multi-Support Accuracy Assessment of the 2001 National Land Cover Data (NLCD 2001) of the Conterminous United States
* Designing a multimodal generalised ride sharing system
* Designing a New Framework Using Type-2 FLS and Cooperative-Competitive Genetic Algorithms for Road Detection from IKONOS Satellite Imagery
* Designing a novel high-performance FPGA architecture for data intensive applications
* Designing a Pattern Stabilization Method Using Scleral Blood Vessels for Laser Eye Surgery
* Designing a Practical Degradation Model for Deep Blind Image Super-Resolution
* Designing a smart-card-based face verification system: Empirical investigation
* Designing a symmetric classifier for image annotation using multi-layer sparse coding
* Designing a Topological Algorithm for 3D Activity Recognition
* Designing a Validation Protocol for Remote Sensing Based Operational Forest Masks Applications. Comparison of Products Across Europe
* Designing a Value-Driven Future for Ethical Autonomous and Intelligent Systems
* Designing Affine Transformations based Face Recognition Algorithms
* Designing an Experience Sampling Method for Smartphone Based Emotion Detection
* Designing an Experiment to Investigate Subpixel Mapping as an Alternative Method to Obtain Land Use/Land Cover Maps
* Designing an Illumination-Aware Network for Deep Image Relighting
* Designing an Interactive Audio Interface for Climate Science
* Designing an Interactive Learning to Enrich Children's Experience in Museum Visit
* Designing an Interactive Mural for Cultural Reflections
* Designing and Building A Cost-efficient Survey Drone
* Designing and Construction of The Spectral Library for Typical Pigments Used in Chinese Paintings
* Designing and Evaluating a Social Gaze-Control System for a Humanoid Robot
* Designing and Evaluating a User-Oriented Calibration Field for the Target-Based Self-Calibration of Panoramic Terrestrial Laser Scanners
* Designing and Evaluating a Virtual Reality Training for Paramedics to Practice Triage in Complex Situations
* Designing and Evaluating Quality of Life Technologies: An Interdisciplinary Approach
* Designing and Implementing a Human-Robot Team for Social Interactions
* Designing and Implementing Software Components for an Automated Mapping System
* Designing and Modelling Coast Management GIS for Bosphorus
* Designing and Simulating Clothes
* Designing autonomous layered video coders
* Designing Brain-Computer Interfaces for Attention-Aware Systems
* Designing Category-Level Attributes for Discriminative Visual Recognition
* Designing Climate-Resilient Marine Protected Area Networks by Combining Remotely Sensed Coral Reef Habitat with Coastal Multi-Use Maps
* Designing CNNs for Multimodal Image Restoration and Fusion via Unfolding the Method of Multipliers
* Designing Coded Aperture Camera Based on PCA and NMF for Light Field Acquisition
* Designing color filter arrays for the joint capture of visible and near-infrared images
* Designing Color Filters That Make Cameras More Colorimetric
* Designing compact Gabor filter banks for efficient texture feature extraction
* Designing Constant Modulus Complete Complementary Sequence With High Doppler Tolerance for Simultaneous Polarimetric Radar
* Designing CW Range-Resolved Environmental S-Lidars for Various Range Scales: From a Tabletop Test Bench to a 10 km Path
* Designing deep networks for surface normal estimation
* Designing discriminative spatial filter vectors in motor imagery brain-computer interface
* Designing Display Pixel Layouts for Under-Panel Cameras
* Designing Educational Virtual Environments for Construction Safety: A Case Study in Contextualizing Incident Reports and Engaging Learners
* Designing Effective Inter-Pixel Information Flow for Natural Image Matting
* Designing effective travel techniques with bare-hand interaction
* Designing efficient fusion schemes for multimodal biometric systems using face and palmprint
* Designing Energy-Efficient Convolutional Neural Networks Using Energy-Aware Pruning
* Designing ETL processes to integrate multi-field digital information resources
* Designing Fourier Descriptor-Based Geometric-Models for Object Interpretation in Medical Images Using Genetic Algorithms
* Designing frameworks for automatic affect prediction and classification in dimensional space
* Designing Fuzzy Adaptive Nonlinear Filter for Land Vehicle Ultra-Tightly Coupled Integrated Navigation Sensor Fusion
* Designing Gabor filters for optimal texture separability
* Designing Geovisual Analytics Environments and Displays with Humans in Mind
* Designing Gis-based Site Selection Model for Urban Investment Planning In Smart Cities With the Case of Electric Vehicle Charging Stations
* Designing high-throughput VLC decoder. I. Concurrent VLSI architectures
* Designing Highly Reliable Fiducial Markers
* Designing Huge Repositories of Moving Vehicles Trajectories for Efficient Extraction of Semantic Data
* Designing human-centered automation: Trade-offs in collision avoidance system design
* Designing Illuminant Spectral Power Distributions for Surface Classification
* Designing Inclusive Virtual Reality Experiences
* Designing Incoherent Frames With Only Matrix Vector Multiplications
* Designing Interpretable Recurrent Neural Networks for Video Reconstruction via Deep Unfolding
* Designing JPEG Quantization Tables based on Human Visual System
* Designing LDPC Codes for ECOC Classification Systems
* Designing Limitless Path in Virtual Reality Environment
* Designing local orthogonal bases for evaluating image quality
* Designing Low Coherent Measurement Matrix With Controlled Spectral Norm Via an Efficient Approximation of L_inf-Norm
* Designing Mathematical Morphology Algorithms on FPGAs: An Application to Image Processing
* Designing Moiré Patterns
* Designing multi-label classifiers that maximize F measures: State of the art
* Designing Multiple Gabor Filters for Multi-Texture Image Segmentation
* Designing Network Design Spaces
* Designing Non-additive Distortions for JPEG Steganography Based on Blocking Artifacts Reduction
* Designing of classification procedures with the use of equality and difference operators
* Designing of Roaming Protocol for Bluetooth Equipped Multi Agent Systems
* Designing On-Demand Four-Wheel-Drive Vehicles via Active Control of the Central Transfer Case
* Designing One Unified Framework for High-Fidelity Face Reenactment and Swapping
* Designing optically tracked instruments for image-guided surgery
* Designing Optimal Sequential Experiments for a Bayesian Classifier
* Designing OSED's (order statistic edge detectors)
* Designing Persuasive Stroke Rehabilitation Game: An Analysis of Persuasion Context
* Designing Postdigital Curators: Establishing an Interdisciplinary Games and Mixed Reality Cultural Heritage Network
* Designing Recurrent Neural Networks by Unfolding an L1-L1 Minimization Algorithm
* Designing robot eyes for gaze communication
* Designing Robots to Best World Cup Winners has Inspired Generations of Roboticists
* Designing Robust Air Transportation Networks via Minimizing Total Effective Resistance
* Designing robust sensing matrix for image compression
* Designing scalable and efficient parallel clustering algorithms on arrays with reconfigurable optical buses
* Designing Spatially Coherent Minimizing Flows for Variational Problems Based on Active Contours
* Designing spectral sensitivity curves for use with Artificial Color
* Designing stereo heads using task domain constraints
* Designing Systolic Algorithms Using Sequential Machines
* Designing Template Cells Suitable for Secret-Sharing Halftone Images by Quantitative Analysis
* Designing templates for cellular neural networks using particle swarm optimization
* Designing Texture Filters with Genetic Algorithms: An Application to Medical Images
* Designing the Minimal Structure of Hidden Markov Model by Bisimulation
* Designing the Signal Quality Monitoring Algorithm Based on Chip Domain Observables for BDS B1C/B2a Signals under the Requirements of DFMC SBAS
* Designing the Visualization of Information
* Designing Translation Invariant Operations Via Neural Network Training
* Designing Unmanned Aerial Survey Monitoring Program to Assess Floating Litter Contamination
* Designing various component analysis at will
* Designing Virtual Environments for Smoking Cessation: A Preliminary Investigation
* Designing Vision Systems for Robotic Applications
* Designing Visual Systems: Purposive Navigation
* Designing Wearable Systems for Sports: A Review of Trends and Opportunities in Human-Computer Interaction
* Designing Zoning Of Remote Sensing Drones For Urban Applications: A Review
* Designs and architectures of filter bank trees for spectrally efficient multi-user communications: review, modifications and extensions of wavelet packet filter bank trees
* DeSIRe: Deep Signer-Invariant Representations for Sign Language Recognition
* DESIRe: Discontinuous energy seam carving for image retargeting via structural and textural energy functionals
* DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents
* Desired Features of Adaptive Antenna Arrays for GNSS Receivers
* Desired PAR-Achieving Precoder Design for Multiuser MIMO OFDM Based on Concentration of Measure, A
* DESIS - DLR Earth Sensing Imaging Spectrometer
* Deskewing by space-variant deblurring
* Deskewing of Underwater Images
* Desktop 3D Scanner Exploiting Rotation and Visual Rectification of Laser Profiles, A
* Desktop Programmable Pixel-Parallel Accelerator for High Speed Image Processing
* DesmokeNet: A Two-Stage Smoke Removal Pipeline Based on Self-Attentive Feature Consensus and Multi-Level Contrastive Regularization
* DesnowGAN: An Efficient Single Image Snow Removal Framework Using Cross-Resolution Lateral Connection and GANs
* DesnowNet: Context-Aware Deep Network for Snow Removal
* Desoiling Dataset: Restoring Soiled Areas on Automotive Fisheye Cameras
* Despeckle and geographical feature extraction in SAR images by wavelet transform
* Despeckle Filtering: Performance Evaluation for Malignant Focal Hepatic Lesions
* Despeckling and Information Extraction From SLC SAR Images
* Despeckling CNN with Ensembles of Classical Outputs
* Despeckling of interferometrie SAR data
* Despeckling of Medical Ultrasound Images Using Data and Rate Adaptive Lossy Compression
* Despeckling of SAR Image Using Generalized Guided Filter With Bayesian Nonlocal Means
* Despeckling of SAR Images Using Residual Twin CNN and Multi-Resolution Attention Mechanism
* Despeckling of SAR Images Using Shrinkage of Two-Dimensional Discrete Orthonormal S-Transform
* Despeckling of Synthetic Aperture Radar Images Using Monte Carlo Texture Likelihood Sampling
* Despeckling of ultrasound images using directionally decimated wavelet packets with adaptive clustering
* Despeckling of ultrasound medical images using ripplet domain nonlinear filtering
* Despeckling SAR-type multiplicative noise
* Despeckling SAR images based on a new probabilistic model in nonsubsampled contourlet transform domain
* Despeckling SAR images in the lapped transform domain
* Despeckling SAR Images Using Bayes-Shrink in Bandelet Domain
* Despeckling SAR Images Using Wavelets and a New Class of Adaptive Shrinkage Estimators
* Despeckling Utilizing M-Estimators
* deSpeckNet: Generalizing Deep Learning-Based SAR Image Despeckling
* DESRM: a disease extraction system for real-time monitoring
* Destination and route choice models for bidirectional pedestrian flow based on the social force model
* Destination Assisted Secret Wireless Communication With Cooperative Helpers
* Destination Flow for Crowd Simulation
* Destination Prediction Based on Virtual POI Docks in Dockless Bike-Sharing System
* Destination Prediction by Trajectory Distribution-Based Model
* DESTR: Object Detection with Split Transformer
* Destriping Algorithm for SDGSAT-1 Nighttime Light Images Based on Anomaly Detection and Spectral Similarity Restoration, A
* Destriping algorithm with L0 sparsity prior for remote sensing images
* Destriping and Inpainting of Remote Sensing Images Using Maximum A-Posteriori Method
* Destriping Images, Pushbroom, Scanner, Remote Sensing Imagry
* Destriping MODIS Data Using Overlapping Field-of-View Method
* Destriping Satellite Images
* Destruction and Construction Learning for Fine-Grained Image Recognition
* Destruction and Reconstruction Learning for Facial Expression Recognition
* Destruction from sky: Weakly supervised approach for destruction detection in satellite imagery
* Destructive M6.2 Petrinja Earthquake (Croatia) in 2020: Preliminary Multidisciplinary Research
* Desynchronization in Compression Process for Collusion Resilient Video Fingerprint
* Desynchronized image fingerprint for large scale distribution
* Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation
* Detachable and Expansible Multisensor Data Fusion Model for Perception in Level 3 Autonomous Driving System, A
* Detachable Object Detection with Efficient Model Selection
* Detachable Object Detection: Segmentation and Depth Ordering from Short-Baseline Video
* Detail- Revealing Deep Low-Dose CT Reconstruction
* Detail-Based Method for Linear Full Reference Image Quality Prediction, A
* Detail-Enhanced Exposure Fusion
* Detail-Enhanced Multi-Scale Exposure Fusion in YUV Color Space
* Detail-Enhanced Multi-Scale Exposure Fusion
* Detail-enhanced target segmentation method for thermal video sequences based on spatiotemporal parameter update technique
* Detail-generating geometry completion for point-sampled geometry
* Detail-preserved real-time hand motion regression from depth
* Detail-Preserving and Content-Aware Variational Multi-View Stereo Reconstruction
* Detail-preserving compressive sensing recovery based on cartoon texture image decomposition
* Detail-Preserving Contrast Reduction for Still Cameras
* Detail-Preserving Cross-Scale Learning Strategy for CNN-Based Pansharpening, A
* Detail-preserving exposure fusion using subband architecture
* Detail-Preserving Median Based Filters In Image-Processing
* Detail-Preserving Multi-Exposure Fusion With Edge-Preserving Structural Patch Decomposition
* Detail-Preserving Pooling in Deep Networks
* Detail-Preserving Scale-Driven Approach to Change Detection in Multitemporal SAR Images, A
* Detail-Preserving Signal Fitting for Pulse Wave Detection from Smartphone-Based Fingertip Videos
* Detail-Preserving Smoothing Classifier Based on Conditional Random Fields for High Spatial Resolution Remote Sensing Imagery
* Detail-Preserving Smoothing with Morphology and Fuzzy-Reasoning
* Detail-preserving tone mapping for low dynamic range displays with adaptive gamma correction
* Detail-Preserving Trajectory Summarization Based on Segmentation and Group-Based Filtering
* Detail-recovery Image Deraining via Context Aggregation Networks
* Detail-replicating shape stretching
* Detail-Revealing Deep Video Super-Resolution
* Detail Enhanced Multi-Exposure Image Fusion Based On Edge Preserving Filters
* Detail enhancement-based vehicle re-identification with orientation-guided re-ranking
* Detail enhancement of image super-resolution based on detail synthesis
* Detail Fusion GAN: High-Quality Translation for Unpaired Images with GAN-based Data Augmentation
* Detail Information Prior Net for Remote Sensing Image Pansharpening
* Detail Injection-Based Deep Convolutional Neural Networks for Pansharpening
* Detail Me More: Improving GAN's photo-realism of complex scenes
* Detail Preserved Point Cloud Completion via Separated Feature Aggregation
* Detail Preserved Single Image Dehazing Algorithm Based on Airlight Refinement
* Detail Preserving 3D Motion Compression Based on Local Transformation
* Detail Preserving Coarse-to-Fine Matching for Stereo Matching and Optical Flow
* Detail preserving conditional random field as 2-D RNN for gland segmentation in histology images
* Detail Preserving Depth Estimation from a Single Image Using Attention Guided Networks
* Detail preserving image denoising with patch-based structure similarity via sparse representation and SVD
* Detail preserving impulsive noise removal
* Detail preserving morphological filtering
* Detail Preserving Multi-Scale Exposure Fusion
* Detail preserving multiple bit-depth image representation and coding
* Detail Preserving Noise Filtering for Compressed Image
* Detail Preserving Residual Feature Pyramid Modules for Optical Flow
* Detail retaining convolutional neural network for image denoising
* Detail texture detection based on YOLOV4-tiny combined with attention mechanism and bicubic interpolation
* Detail warping based video super-resolution using image guides
* Detailed 2D-3D Joint Representation for Human-Object Interaction
* Detailed 3D Model Driven Single View Scene Understanding
* Detailed 3D Representations for Object Recognition and Modeling
* Detailed Avatar Recovery From Single Image
* Detailed body shapes from flash photographs
* Detailed building reconstruction from airborne laser data using a moving surface method
* Detailed Cartography of Cotopaxi's 1877 Primary Lahar Deposits Obtained by Drone-Imagery and Field Surveys in the Proximal Northern Drainage
* Detailed Characterization and Monitoring of a Retrogressive Thaw Slump from Remotely Piloted Aircraft Systems and Identifying Associated Influence on Carbon and Nitrogen Export
* Detailed Digital Surface Model (DSM) Generation and Automatic Object Detection to Facilitate Modelling of Urban Flooding
* Detailed Evaluation of Five 3D Speckle Tracking Algorithms Using Synthetic Echocardiographic Recordings
* Detailed Full-Body Reconstructions of Moving People from Monocular RGB-D Sequences
* detailed geometric documentation of the Athens Academy Public Meeting Hall, A
* Detailed Human Avatars from Monocular Video
* Detailed Human Shape and Pose from Images
* Detailed Human Shape Estimation From a Single Image by Hierarchical Mesh Deformation
* detailed investigation into low-level feature detection in spectrogram images, A
* Detailed Lacustrine Calving Iceberg Inventory from Very High Resolution Optical Imagery and Object-Based Image Analysis
* Detailed Land Cover Mapping from Multitemporal Landsat-8 Data of Different Cloud Cover
* Detailed Mapping of Lava and Ash Deposits at Indonesian Volcanoes by Means of VHR PlanetScope Change Detection
* Detailed Mapping of Urban Land Use Based on Multi-Source Data: A Case Study of Lanzhou
* Detailed Performance and Waiting-Time Predictability Analysis of Scheduling Options in On-Demand Video Streaming
* Detailed Primitive-Based 3D Modeling of Architectural Elements
* Detailed Processes of Tidal Flat Geomorphology Evolution Based on Time-Series Satellite Images
* Detailed Real-Time Urban 3D Reconstruction from Video
* Detailed reconstruction of 3D plant root shape
* Detailed Sentence Generation Architecture for Image Semantics Description
* Detailed Streetspace Modelling for Multiple Applications: Discussions on the Proposed CityGML 3.0 Transportation Model
* Detailed Study of Land Surface Microwave Emissivity Over the Indian Subcontinent, A
* detailed study of ray tracing performance: Render time and energy cost, A
* Detailed Surface Geometry and Albedo Recovery from RGB-D Video under Natural Illumination
* Detailed Three-Dimensional Building Facade Reconstruction: A Review on Applications, Data and Technologies
* Detailed, Accurate, Human Shape Estimation from Clothed 3D Scan Sequences
* Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolution
* Detangling People: Individuating Multiple Close People and Their Body Parts via Region Assembly
* DetCo: Unsupervised Contrastive Learning for Object Detection
* DeTEC: Detection of Touching Elongated Cells in SEM Images
* Detect-and-Track: Efficient Pose Estimation in Videos
* Detect-SLAM: Making Object Detection and SLAM Mutually Beneficial
* Detect-To-Retrieve: Efficient Regional Aggregation for Image Search
* Detect and Approach: Close-range Navigation Support for People with Blindness and Low Vision
* Detect Audio-Video Temporal Synchronization Errors in Advertisements (Ads)
* Detect coherent motions in crowd scenes based on tracklets association
* Detect face in the wild using CNN cascade with feature aggregation at multi-resolution
* Detect foreground objects via adaptive fusing model in a hybrid feature space
* Detect Globally, Refine Locally: A Novel Approach to Saliency Detection
* Detect to Track and Track to Detect
* Detect Visual Spoofing in Unicode-Based Text
* Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts
* Detect, Consolidate, Delineate: Scalable Mapping of Field Boundaries Using Satellite Images
* Detect, Replace, Refine: Deep Structured Prediction for Pixel Wise Labeling
* Detect2Rank: Combining Object Detectors Using Learning to Rank
* Detectability-quality trade-off in JPEG counter-forensics
* Detectability of Buildings in Aerial Images over Scale Space
* Detectability of Moving Objects Using Correspondences over Two and Three Frames
* Detectability of perfusion defect in gated dynamic reconstruction images using temporal B-splines
* Detectability, Uniqueness, and Reliability of Eigen Windows for Stable Verification of Partially Occluded Objects
* Detectable Singularities from Dynamic Radon Data
* Detected edge position evaluation using measured acquisition system parameters
* Detected motion classification with a double-background and a Neighborhood-based difference
* Detected Text-Based Image Retrieval Approach for Textual Images
* Detecting 11K Classes: Large Scale Object Detection Without Fine-Grained Bounding Boxes
* Detecting 2020 Coral Bleaching Event in the Northwest Hainan Island Using CoralTemp SST and Sentinel-2B MSI Imagery
* Detecting 3-D Mirror Symmetry in a 2-D Camera Image for 3-D Shape Recovery
* Detecting 3-D Motion Field from Range Image Sequences
* Detecting 32 Pedestrian Attributes for Autonomous Vehicles
* Detecting 3D geometric boundaries of indoor scenes under varying lighting
* Detecting 3D Parallel Lines for Perceptual Organization
* Detecting 3D Points of Interest Using Projective Neural Networks
* Detecting A Child's Stimming Behaviours for Autism Spectrum Disorder Diagnosis using Rgbpose-Slowfast Network
* Detecting a gazing region by visual direction and stereo cameras
* Detecting abandoned citrus crops using Sentinel-2 time series. A case study in the Comunitat Valenciana region (Spain)
* Detecting abandoned farmland using harmonic analysis and machine learning
* Detecting Abandoned Objects With a Moving Camera
* Detecting abandoned packages in a multi-camera video surveillance system
* Detecting Abnormal Cell Division Patterns in Early Stage Human Embryo Development
* Detecting Abnormal Crowd Behaviors Based on the Div-Curl Characteristics of Flow Fields
* Detecting abnormal events in traffic video surveillance using superorientation optical flow feature
* Detecting Abnormal Events in Video Using Narrowed Normality Clusters
* Detecting abnormal fish trajectories using clustered and labeled data
* Detecting Abnormal Gait
* Detecting abnormal regions in colonoscopic images by patch-based classifier ensemble
* Detecting abnormality with separated foreground and background: Mutual Generative Adversarial Networks for video abnormal event detection
* Detecting Absence of Bone Wall in Jugular Bulb by Image Transformation Surrogate Tasks
* Detecting Actions, Poses, and Objects with Relational Phraselets
* Detecting activities of daily living in first-person camera views
* Detecting Activities
* Detecting Ads in Video Streams Using Acoustic and Visual Cues
* Detecting adversarial examples by additional evidence from noise domain
* Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors
* Detecting Aggression in Voice Using Inverse Filtered Speech Features
* Detecting Aircraft With a Low-Resolution Infrared Sensor
* Detecting Aligned Double JPEG Compressed Color Image With Same Quantization Matrix Based on the Stability of Image
* Detecting Altered Fingerprints
* Detecting Alzheimer's Disease Using Directed Graphs
* Detecting anaglyph images with channel alignment features
* Detecting Anatomical Landmarks for Fast Alzheimer's Disease Diagnosis
* Detecting Anatomical Landmarks From Limited Medical Imaging Data Using Two-Stage Task-Oriented Deep Neural Networks
* Detecting and adapting to crisis pattern with context based Deep Reinforcement Learning
* Detecting and Aligning Faces by Image Retrieval
* Detecting and Analyzing the Displacement of a Small-Magnitude Earthquake Cluster in Rong County, China by the GACOS Based InSAR Technology
* Detecting and Analyzing the Evolution of Subsidence Due to Coal Fires in Jharia Coalfield, India Using Sentinel-1 SAR Data
* Detecting and Analyzing Urban Centers Based on the Localized Contour Tree Method Using Taxi Trajectory Data: A Case Study of Shanghai
* Detecting and Assessing Nondominant Farmland Area with Long-Term MODIS Time Series Images
* Detecting and characterising returns in a pulsed ladar system
* Detecting and Characterizing Active Thrust Fault and Deep-Seated Landslides in Dense Forest Areas of Southern Taiwan Using Airborne LiDAR DEM
* Detecting and characterizing downed dead wood using terrestrial laser scanning
* Detecting and Classifying Intruders in Image Sequences
* Detecting and classifying online dark visual propaganda
* Detecting and Classifying Road Turn Directions from a Sequence of Images
* Detecting and composing near-identical HDR images without exposure information
* Detecting And Correcting Motion Blur from Images Shot with Channel-Dependent Exposure Time
* Detecting and Correcting Shadows in Urban Point Clouds and Image Collections
* Detecting and Counting Orchard Trees on Unmanned Aerial Vehicle (uav)-based Images Using Entropy and Ndvi Features
* Detecting and counting people in surveillance applications
* Detecting and discriminating behavioural anomalies
* Detecting and eliminating chromatic aberration in digital images
* Detecting and estimating structure regularity of soft tissue organs from ultrasound images
* Detecting and Extracting Compact Textured Regions Using Pyramids
* Detecting and Grouping Identical Objects for Region Proposal and Classification
* Detecting and grouping keypoints for multi-person pose estimation using instance-aware attention
* Detecting and Handling Unreliable Points for Camera Parameter Estimation
* Detecting and indexing moving objects for Behavior Analysis by Video and Audio Interpretation
* Detecting and inferring repetitive elements with accurate locations and shapes from façades
* Detecting and interpreting non-recurrent congestion from traffic and social media data
* Detecting and Localizing 3D Object Classes using Viewpoint Invariant Reference Frames
* Detecting and Localizing Edges Composed of Steps, Peaks and Roofs
* Detecting and Localizing Prostate Cancer from Diffusion-Weighted Magnetic Resonance Imaging
* Detecting and Localizing Tree Nodes in Anatomic Structures of Branching Topology
* Detecting and locating crosswalks using a camera phone
* Detecting and Locating Gastrointestinal Anomalies Using Deep Learning and Iterative Cluster Unification
* Detecting and locating landmine fields from vehicle- and air-borne measured I