Update Dates 2011

2011 * *ACCV
* *Earth Observation Based Monitoring of Forests in Germany: A Review
* *Guest Editorial: Computer Vision for Smart Cameras and Camera Networks
* *Guest Editorial: Intelligent Transportation Systems in Smart Cities for Sustainable Environments (SCfSE)
* *ICIP
* *Intelligent Systems and Computer Vision
* 10-m-resolution mangrove maps of China derived from multi-source and multi-temporal satellite observations
* 3-D Interface for the P300 Speller BCI
* 3-D Receiver Operating Characteristic Analysis for Hyperspectral Image Classification
* 360° Camera Alignment via Segmentation
* 3D Highway Curve Reconstruction From Mobile Laser Scanning Point Clouds
* 3d Human Shape and Pose from a Single Low-resolution Image with Self-supervised Learning
* 3d Human Shape Reconstruction from a Polarization Image
* 3d Imaging For Thermal Cameras Using Structured Light
* 3D Multi Person Tracking With Dual 360° Cameras
* 3d Object Detection For Autonomous Driving Using Temporal Lidar Data
* 3D Point Cloud Enhancement Using Graph-Modelled Multiview Depth Measurements
* 3D Reconstruction of Power Lines Using UAV Images to Monitor Corridor Clearance
* 3d Scene Reconstruction from a Single Viewport
* 3D Sparse Deformation Signature for Dynamic Face Recognition
* 3D-CVF: Generating Joint Camera and Lidar Features Using Cross-view Spatial Feature Fusion for 3D Object Detection
* 3D-Rotation-Equivariant Quaternion Neural Networks
* 3PointTM: Faster Measurement of High-dimensional Transmission Matrices
* AABO: Adaptive Anchor Box Optimization for Object Detection via Bayesian Sub-sampling
* ABC-NET: Avoiding Blocking Effect Color Shift Network for Single Image Dehazing Via Restraining Transmission Bias
* Aboveground Biomass Changes in Tropical Montane Forest of Northern Borneo Estimated Using Spaceborne and Airborne Digital Elevation Data
* Accelerated 4D Mr Image Reconstruction Using Joint Higher Degree Total Variation And Local Low-Rank Constraints
* Accelerated FBP for Computed Tomography Image Reconstruction
* Accelerated MR-STAT Reconstructions Using Sparse Hessian Approximations
* Accelerating CNN Training by Pruning Activation Gradients
* Accelerating Deep Learning with Millions of Classes
* Accident-related cost analysis and decision-making support through econometric modelling
* Accurate MR image super-resolution via lightweight lateral inhibition network
* Accurate Optimization of Weighted Nuclear Norm for Non-rigid Structure from Motion
* Accurate Polarimetric BRDF for Real Polarization Scene Rendering
* Accurate Reconstruction of Oriented 3d Points Using Affine Correspondences
* Accurate Terahertz Imaging Simulation With Ray Tracing Incorporating Beam Shape and Refraction
* ACED: Accurate And Edge-Consistent Monocular Depth Estimation
* Acquiring Dynamic Light Fields Through Coded Aperture Camera
* Across Scales and Across Dimensions: Temporal Super-Resolution Using Deep Internal Learning
* Action Localization Through Continual Predictive Learning
* Actionet: An Interactive End-To-End Platform For Task-Based Data Collection And Augmentation In 3D Environment
* Active and incremental learning for semantic ALS point cloud segmentation
* Active Crowd Counting with Limited Supervision
* Active Image Sampling on Canonical Views for Novel Object Detection
* Active Perception Using Light Curtains for Autonomous Driving
* Active Visual Information Gathering for Vision-language Navigation
* Activity Normalization for Activity Detection in Surveillance Videos
* Adaptation-Oriented Feature Projection for One-Shot Action Recognition
* Adapting Object Detectors with Conditional Domain Normalization
* Adaptive Aggregated Tracklet Linking for Multi-Face Tracking
* Adaptive Block Partitioning of Point Clouds for Video-Based Color Compression
* Adaptive Computationally Efficient Network for Monocular 3d Hand Pose Estimation
* Adaptive Convolutionally Enchanced Bi-Directional LSTM Networks for Choreographic Modeling
* Adaptive Double-Layered Embedding Scheme for MP3 Steganography, An
* Adaptive image denoising for speckle noise images based on fuzzy logic
* Adaptive Lattice-Aware Image Demosaicking Using Global And Local Information
* Adaptive Margin Diversity Regularizer for Handling Data Imbalance in Zero-Shot SBIR
* Adaptive Multi-Region Network For Medical Image Analysis
* Adaptive neuro-fuzzy inference system based on-the-move terrain classification for autonomous wheeled mobile robots
* Adaptive non-linear coordinated optimal dynamic platoon control of connected autonomous distributed electric vehicles on curved roads
* Adaptive Object Detection with Dual Multi-label Prediction
* Adaptive Offline Quintuplet Loss for Image-text Matching
* Adaptive robust control of a four-cable-driven parallel robot
* Adaptive Secondary Transform For Improved Image Coding Efficiency In JPEG2000
* Adaptive Trimmed Median Filter for Impulse Noise Detection and Removal with an Application to Mammogram Images
* Adaptive Variance Based Label Distribution Learning for Facial Age Estimation
* Adaptive Video Highlight Detection by Learning from User History
* ADMM-Inspired Reconstruction Network for Compressive Spectral Imaging
* Advanced Multipath Mitigation Method Based on Trend Surface Analysis, An
* Advantages of Using UAV Digital Photogrammetry in the Study of Slow-Moving Coastal Landslides
* Adversarial Background-aware Loss for Weakly-supervised Temporal Activity Localization
* Adversarial Continual Learning
* Adversarial Defense Via Local Flatness Regularization
* Adversarial Generative Grammars for Human Activity Prediction
* Adversarial Learning for Zero-shot Domain Adaptation
* Adversarial Ranking Attack and Defense
* Adversarial Robustness on In- and Out-distribution Improves Explainability
* Adversarial Self-supervised Learning for Semi-Supervised 3d Action Recognition
* Adversarial Semantic Data Augmentation for Human Pose Estimation
* Adversarial T-shirt! Evading Person Detectors in a Physical World
* Ae Textspotter: Learning Visual and Linguistic Representation for Ambiguous Text Spotting
* AE-OT-GAN: Training GANs from Data Specific Latent Distribution
* AeroRIT: A New Scene for Hyperspectral Image Analysis
* AGUnet: Annotation-guided U-net for fast one-shot video object segmentation
* Ahff-Net: Adaptive Hierarchical Feature Fusion Network For Image Inpainting
* AI-Based Visual Aid With Integrated Reading Assistant for the Completely Blind, An
* AIM-Net: Bring Implicit Euler to Network Design
* AiR: Attention with Reasoning Capability
* Algorithm and VLSI Architecture Co-Design on Efficient Semi-Global Stereo Matching
* Algorithm to Retrieve Total Precipitable Water Vapor in the Atmosphere from FengYun 3D Medium Resolution Spectral Imager 2 (FY-3D MERSI-2) Data, An
* Aligning Videos in Space and Time
* All at Once: Temporally Adaptive Multi-frame Interpolation with Advanced Motion Modeling
* ALRe: Outlier Detection for Guided Refinement
* ALS as Tool to Study Preferred Stem Inclination Directions
* Always Look On The Bright Side Of The Field: Merging Pose And Contextual Data To Estimate Orientation Of Soccer Players
* Amazigh isolated word speech recognition system using the Adaptive Orthogonal Transform Method.
* Amplifying Key Cues for Human-object-interaction Detection
* Analysing Urban Development Patterns in a Conflict Zone: A Case Study of Kabul
* Analysis and Modeling of the Complex Dielectric Constant of Bound Water with Application in Soil Microwave Remote Sensing
* Analysis of Driving Patterns and On-Board Feedback-Based Training for Proactive Road Safety Monitoring
* Analysis of road travel behaviour based on big trajectory data
* Analysis Of The Importance Of Systolic Blood Pressure Versus Diastolic Blood Pressure In Diagnosing Hypertension: MRA Study.
* Analytical Geometry Calibration for Acoustic Transceiver Arrays
* Analyzing Daily Estimation of Forest Gross Primary Production Based on Harmonized Landsat-8 and Sentinel-2 Product Using SCOPE Process-Based Model
* Analyzing Sensor Quantization of Raw Images For Visual SLAM
* Anatomy-aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-ray Images
* Angle-based Search Space Shrinking for Neural Architecture Search
* Animated GIF Optimization By Adaptive Color Local Table Management
* AnimGAN: A Spatiotemporally-Conditioned Generative Adversarial Network For Character Animation
* Anomalous Motion Detection On Highway Using Deep Learning
* Anthropogenic Heat Flux Estimation Based on Luojia 1-01 New Nighttime Light Data: A Case Study of Jiangsu Province, China
* Anti-Bandit Neural Architecture Search for Model Defense
* APE: A More Practical Approach To 6-Dof Pose Estimation
* API-net: Robust Generative Classifier via a Single Discriminator
* Appearance Consensus Driven Self-supervised Human Mesh Recovery
* Appearance Learning for Image-Based Motion Estimation in Tomography
* Appearance-preserving 3d Convolution for Video-based Person Re-identification
* Apple Tree Branch Information Extraction from Terrestrial Laser Scanning and Backpack-LiDAR
* Application of binocular disparity and receptive field dynamics: A biologically-inspired model for contour detection
* Application of Google Earth Engine Cloud Computing Platform, Sentinel Imagery, and Neural Networks for Crop Mapping in Canada
* Applying Deep Learning to Clear-Sky Radiance Simulation for VIIRS with Community Radiative Transfer Model: Part 2: Model Architecture and Assessment
* Applying the T5 language model and duration units normalization to address temporal common sense understanding on the MCTACO dataset
* Approach on Joint Inversion of Electromagnetic and Acoustic Data Based on Structural Constraints
* Approximate Message Passing Algorithm For Rapid Parameter-Free Compressed Sensing MRI, An
* Approximation Algorithms for Road Coverage Using Wireless Sensor Networks for Moving Objects Monitoring
* Apricot: A Dataset of Physical Adversarial Attacks on Object Detection
* Ar-net: Adaptive Frame Resolution for Efficient Action Recognition
* Arbitrary Style Transfer Using Graph Instance Normalization
* Arbitrary-Oriented Object Detection with Circular Smooth Label
* Are Labels Necessary for Neural Architecture Search?
* ARKit and ARCore in serve to augmented reality
* Art2Contour: Salient Contour Detection in Artworks Using Generative Adversarial Networks
* Artificial intelligence in ophthalmology: the ophthalmologist's opinion
* Assemblenet++: Assembling Modality Representations via Attention Connections
* Assessing Desert Dust Indirect Effects on Cloud Microphysics through a Cloud Nucleation Scheme: A Case Study over the Western Mediterranean
* Assessing Scale Dependence on Local Sea Level Retrievals from Laser Altimetry Data over Sea Ice
* Assessing the Performance of a Low-Cost Thermal Camera in Proximal and Aerial Conditions
* Assessment of Convolutional Neural Network Architectures for Earthquake-Induced Building Damage Detection based on Pre- and Post-Event Orthophoto Images
* Assessment of Extreme Diurnal Warming in Operational Geosynchronous Satellite Sea Surface Temperature Products
* Assessment of Freeze-Thaw Hazards and Water Features along the China-Russia Crude Oil Pipeline in Permafrost Regions
* Assessment of Urban Land Surface Temperature and Vertical City Associated with Dengue Incidences
* Assessment of Wind Direction Estimation Methods from SAR Images
* Associating Multi-Modal Brain Imaging Phenotypes and Genetic Risk Factors via a Dirty Multi-Task Learning Method
* Associating Multi-Scale Receptive Fields For Fine-Grained Recognition
* Associative Alignment for Few-shot Image Classification
* Associative3d: Volumetric Reconstruction from Sparse Views
* Asymmetric Convolutional Residual Network for AV1 Intra in-Loop Filtering
* Asymmetric Foveated Just-Noticeable-Difference Model for Images With Visual Field Inhomogeneities
* Asymmetric Two-stream Architecture for Accurate RGB-D Saliency Detection
* Asymmetry of Daytime and Nighttime Warming in Typical Climatic Zones along the Eastern Coast of China and Its Influence on Vegetation Activities
* Asymptotic Closed-Loop Design Of Transform Modes For The Inter-Prediction Residual In Video Coding
* Asynchronous Interaction Aggregation for Action Detection
* Atlantanet: Inferring the 3d Indoor Layout from a Single 360° Image Beyond the Manhattan World Assumption
* Atlas: End-to-end 3d Scene Reconstruction from Posed Images
* Attend and Segment: Attention Guided Active Semantic Segmentation
* Attention Boosted Deep Networks For Video Classification
* Attention Guided Anomaly Localization in Images
* Attention Selective Network For Face Synthesis And Pose-Invariant Face Recognition
* Attention Unet++: A Nested Attention-Aware U-Net for Liver CT Image Segmentation
* Attention-Based Deep Ensemble Net for Large-Scale Online Taxi-Hailing Demand Prediction
* Attention-Based Pyramid Network for Segmentation and Classification of High-Resolution and Hyperspectral Remote Sensing Images
* Attention-based Query Expansion Learning
* Attention-driven Dynamic Graph Convolutional Network for Multi-label Image Recognition
* Attention-driven Two-stage Clustering Method for Unsupervised Person Re-identification, An
* Attention-Enhanced And More Balanced R-CNN For Object Detection
* Attentionnas: Spatiotemporal Attention Cell Search for Video Classification
* Attentive Feedback Feature Pyramid Network for Shadow Detection
* Attentive Normalization
* Attentive Prototype Few-shot Learning with Capsule Network-based Embedding
* Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation
* Attributional Robustness Training Using Input-gradient Spatial Alignment
* Audio-Based Emotion Recognition Enhancement Through Progressive Gans
* Augmented reality for children with Autism Spectrum Disorder. A systematic review.
* Augmented Region-Growing-Based Motion Tracking Using Bayesian Inference For Quasi-Static Ultrasound Elastography
* Augmented Whole-Body Scanning via Magnifying PET
* Augmenting JPEG2000 With Wavelet Coefficient Prediction
* Auto3d: Novel View Synthesis Through Unsupervisely Learned Variational Viewpoint and Global 3d Representation
* Automated Canopy Delineation and Size Metrics Extraction for Strawberry Dry Weight Modeling Using Raster Analysis of High-Resolution Imagery
* Automated Detection Of Highly Aggregated Neurons In Microscopic Images Of Macaque Brain
* Automated diagnosis of epilepsy from EEG signals using ensemble learning approach
* Automated Framework for Plant Detection Based on Deep Simulated Learning from Drone Imagery, An
* Automated Mosaicking of Sentinel-2 Satellite Imagery
* Automated Object Labeling for CNN-Based Image Segmentation
* Automated Production of a Land Cover/Use Map of Europe Based on Sentinel-2 Imagery
* Automated Tortuosity Analysis of Nerve Fibers in Corneal Confocal Microscopy
* Automatic 3D Character Reconstruction from Frontal and Lateral Monocular 2D RGB Views
* Automatic diagnosis of diabetic retinopathy with the aid of adaptive average filtering with optimized deep convolutional neural network
* Automatic Estimation of Crop Disease Severity Levels Based on Vegetation Index Normalization
* Automatic High-Resolution Land Cover Production in Madagascar Using Sentinel-2 Time Series, Tile-Based Image Classification and Google Earth Engine
* Automatic Identification and Dynamic Monitoring of Open-Pit Mines Based on Improved Mask R-CNN and Transfer Learning
* Automatic Mapping of Rice Growth Stages Using the Integration of SENTINEL-2, MOD13Q1, and SENTINEL-1
* Automatic Measurement of Fetal Cavum Septum Pellucidum From Ultrasound Images Using Deep Attention Network
* Automatic Question Tagging using k-Nearest Neighbors and Random Forest
* Automatic Recognition of Children Engagement from Facial Video Using Convolutional Neural Networks
* Automatic Region Selection For Objective Sharpness Assessment Of Mobile Device Photos
* Automatic registration of a single SAR image and GIS building footprints in a large-scale urban area
* Automatic segmentation of nuclei from pap smear cell images: A step toward cervical cancer screening
* Automatic segmentation system for liver tumors based on the multilevel thresholding and electromagnetism optimization algorithm
* Automatic Shoreline Detection from Video Images by Combining Information from Different Methods
* Automatic Tree Skeleton Extraction Approach Based on Multi-View Slicing Using Terrestrial LiDAR Scans Data, An
* Automatically discriminating and localizing COVID-19 from community-acquired pneumonia on chest X-rays
* AutoMix: Mixup Networks for Sample Interpolation via Cooperative Barycenter Learning
* Autonomous Vehicles Mapping Plitvice Lakes National Park, Croatia
* Autoregressive Unsupervised Image Segmentation
* Autosimulate: (quickly) Learning Synthetic Data Generation
* Autotrajectory: Label-free Trajectory Extraction and Prediction from Videos Using Dynamic Points
* Average Mixing Kernel Signature, The
* Axial-Deeplab: Stand-alone Axial-Attention for Panoptic Segmentation
* B-Spline Level Set For Drosophila Image Segmentation
* Backpropagated Gradient Representations for Anomaly Detection
* BAE-Net: A Band Attention Aware Ensemble Network for Hyperspectral Object Tracking
* Balanced and Uncertainty-aware Approach for Partial Domain Adaptation, A
* Bats: Binary Architecture Search
* Bayesian Transfer Learning for Object Detection in Optical Remote Sensing Images
* Bayesian View of Frame Interpolation and a Comparison with Existing Motion Picture Effects Tools, A
* Bayesian-Deep-Learning Estimation of Earthquake Location From Single-Station Observations
* Bcnet: Learning Body and Cloth Shape from a Single Image
* Behind the Scene: Revealing the Secrets of Pre-trained Vision-and-language Models
* Beyond 3DMM Space: Towards Fine-grained 3D Face Reconstruction
* Beyond Controlled Environments: 3D Camera Re-Localization in Changing Indoor Scenes
* Beyond Fixed Grid: Learning Geometric Image Representation with a Deformable Grid
* Beyond Measurement: Extracting Vegetation Height from High Resolution Imagery with Deep Learning
* Beyond Monocular Deraining: Stereo Image Deraining via Semantic Understanding
* Beyond the Nav-Graph: Vision-and-Language Navigation in Continuous Environments
* Bi-directional Cross-modality Feature Propagation with Separation-and-aggregation Gate for RGB-D Semantic Segmentation
* Bias-based Universal Adversarial Patch Attack for Automatic Check-out
* Big Transfer (BIT): General Visual Representation Learning
* Bignas: Scaling up Neural Architecture Search with Big Single-stage Models
* Binarized Neural Network for Single Image Super Resolution
* Biologically Inspired Hexagonal Deep Learning For Hexagonal Image Generation
* Biometricnet: Deep Unconstrained Face Verification Through Learning of Metrics Regularized onto Gaussian Distributions
* Blind Face Restoration via Deep Multi-scale Component Dictionaries
* Blind Image Deblurring With Joint Extreme Channels And L0-Regularized Intensity And Gradient Priors
* Blind Image Zero-Watermarking Algorithm Based on Radial Krawtchouk Moments and Chaotic System
* Blind Natural Image Quality Prediction Using Convolutional Neural Networks And Weighted Spatial Pooling
* Blind Realistic Blur Assessment Based on Discrepancy Learning
* Block Adjustment With Relaxed Constraints From Reference Images of Coarse Resolution
* Block Distributed 3MG Algorithm and its Application to 3D Image Restoration
* Block Proposal Neural Architecture Search
* Block-Size Dependent Overlapped Block Motion Compensation
* BLSM: A Bone-level Skinned Model of the Human Mesh
* BMBC: Bilateral Motion Estimation with Bilateral Cost Volume for Video Interpolation
* Boosting Decision-based Black-box Adversarial Attacks with Random Sign Flip
* Boosting Image-Based Localization Via Randomly Geometric Data Augmentation
* Boosting Weakly Supervised Object Detection with Progressive Knowledge Transfer
* BorderDet: Border Feature for Dense Object Detection
* Bottom-up Temporal Action Localization with Mutual Regularization
* Boundary Content Graph Neural Network for Temporal Action Proposal Generation
* Boundary Of Distribution Support Generator (BDSG): Sample Generation On The Boundary
* Boundary-aware Cascade Networks for Temporal Action Segmentation
* Boundary-preserving Mask R-CNN
* Bounding-box Channels for Visual Relationship Detection
* Box2seg: Attention Weighted Loss and Discriminative Feature Learning for Weakly Supervised Segmentation
* Brain tumor segmentation and classification via adaptive CLFAHE with hybrid classification
* Breaking the millisecond barrier: Robots and self-driving cars will need completely reengineered networks
* Breeding Colony Dynamics of Southern Elephant Seals at Patelnia Point, King George Island, Antarctica
* Bridge-GAN: Interpretable Representation Learning for Text-to-Image Synthesis
* Bridging Knowledge Graphs to Generate Scene Graphs
* Bringing Bathymetry LiDAR to Coastal Zone Assessment: A Case Study in the Southern Baltic
* Broadband Hyperspectral Phase Retrieval From Noisy Data
* Broader Study of Cross-domain Few-shot Learning, A
* Broadface: Looking at Tens of Thousands of People at once for Face Recognition
* BRT: Bus-Based Routing Technique in Urban Vehicular Networks
* BSL-1K: Scaling Up Co-articulated Sign Language Recognition Using Mouthing Cues
* Bubblenet: A Disperse Recurrent Structure To Recognize Activities
* Building Footprint Generation by Integrating Convolution Neural Network With Feature Pairwise Conditional Random Field (FPCRF)
* Building NAS: Automatic designation of efficient neural architectures for building extraction in high-resolution aerial images
* Building Placements In Urban Modeling Using Conditional Generative Latent Optimization
* Building Skills for the Future: Teaching High School Students to Utilize Remote Sensing of Wildfires
* Burst Denoising via Temporally Shifted Wavelet Transforms
* Bus scheduling considering trip-varying travel times, vehicle availability and capacity
* BézierSketch: A Generative Model for Scalable Vector Sketches
* CAD-deform: Deformable Fitting of CAD Models to 3D Scans
* Cafe-GAN: Arbitrary Face Attribute Editing with Complementary Attention Feature
* Calibrank: Effective Lidar-Camera Extrinsic Calibration By Multi-Modal Learning To Rank
* Calibrated Multivariate Regression Networks
* calibration method of computer vision system based on dual attention mechanism, A
* Calibration-free Structure-from-motion with Calibrated Radial Trifocal Tensors
* Cam-Net: Compressed Attentive Multi-Granularity Network For Dynamic Scene Classification
* CAM-UNET: Class Activation MAP Guided UNET with Feedback Refinement for Defect Segmentation
* Camera Placement Meeting Restrictions of Computer Vision
* Camera Shooting Resilient Watermarking Scheme for Underpainting Documents, A
* Camouflaged Object Detection and Tracking: A Survey
* Can GNSS-R Detect Abrupt Water Level Changes?
* Canonical Illumination Decomposition and Its Applications
* Cap-Based Transcranial Optical Tomography in an Awake Infant
* Capsule Network Based on Scalograms of Electrocardiogram for Myocardial Infarction Classification
* Caption-supervised Face Recognition: Training a State-of-the-Art Face Model Without Manual Annotation
* Captioning Images Taken by People Who Are Blind
* Capturing Video Frame Rate Variations via Entropic Differencing
* Carbon Dioxide Retrieval from TanSat Observations and Validation with TCCON Measurements
* Cardiac Segmentation With Strong Anatomical Guarantees
* Cascaded Context Dependency: An Extremely Lightweight Module For Deep Convolutional Neural Networks
* Cascaded hierarchical atrous spatial pyramid pooling module for semantic segmentation
* Cascaded Mixed-Precision Networks
* Cascaded Nonlinear Shape Model Regression
* Cast-GAN: Learning To Remove Colour Cast From Underwater Images
* Catch: Context-based Meta Reinforcement Learning for Transferrable Architecture Search
* Category Level Object Pose Estimation via Neural Analysis-by-Synthesis
* Causality-Based Feature Fusion for Brain Neuro-Developmental Analysis
* Ccalf Coefficient Derivation Using Combined Neighbors
* CDVA/VCM: Language for Intelligent and Autonomous Vehicles
* Cellular automata models for signalised and unsignalised intersections with special attention to mixed traffic flow: a review
* Centernet Heatmap Propagation for Real-time Video Object Detection
* CFA Video Denoising and Demosaicking Chain via Spatio-Temporal Patch-Based Filtering
* CGO: Multiband Astronomical Source Detection With Component-Graphs
* Chained-tracker: Chaining Paired Attentive Regression Results for End-to-end Joint Multiple-object Detection and Tracking
* Challenge-aware RGBT Tracking
* Challenging tough samples in unsupervised domain adaptation
* Change Points Detected in Decadal and Seasonal Trends of Outlet Glacier Terminus Positions across West Greenland
* Channel Pruning Via Gradient Of Mutual Information For Light-Weight Convolutional Neural Networks
* Channel Selection Using Gumbel Softmax
* Channel Shuffle Reconstruction Network for Image Compressive Sensing
* Channel-Grouping Based Patch Swap For Arbitrary Style Transfer
* Channel-Spatial fusion aware net for accurate and fast object Detection
* Channel-Wise and Spatial Feature Modulation Network for Single Image Super-Resolution
* Channel-Wise Autoregressive Entropy Models for Learned Image Compression
* Channel-Wise Progressive Learning For Lossless Image Compression
* Character Grounding and Re-identification in Story of Videos and Text Descriptions
* Character-preserving Coherent Story Visualization
* Characterising local feature descriptors for face sketch to photo matching
* Characteristics of Recovery Motion Resulting From Side Contact With a Physical Assistant Robot Worn During Gait
* Characteristics of the Residual Surface Deformation of Multiple Abandoned Mined-Out Areas Based on a Field Investigation and SBAS-InSAR: A Case Study in Jilin, China
* Characterization of Stratospheric Smoke Particles over the Antarctica by Remote Sensing Instruments
* Characterization of the Far Infrared Properties and Radiative Forcing of Antarctic Ice and Water Clouds Exploiting the Spectrometer-LiDAR Synergy
* Characterizing spatiotemporal patterns of crop phenology across North America during 2000-2016 using satellite imagery and agricultural survey data
* Cheaper Pre-training Lunch: An Efficient Paradigm for Object Detection
* Chlorophyll-a Variability during Upwelling Events in the South-Eastern Baltic Sea and in the Curonian Lagoon from Satellite Observations
* Chroma Intra Prediction With Attention-Based CNN Architectures
* CI-GNN: Building a Category-Instance Graph for Zero-Shot Video Classification
* CircleNet: Reciprocating Feature Adaptation for Robust Pedestrian Detection
* Circular Shift: An Effective Data Augmentation Method For Convolutional Neural Network On Image Classification
* Class Incremental Learning With Task-Selection
* Class-Agnostic Weighted Normalization of Staining in Histopathology Images Using a Spatially Constrained Mixture Model
* Class-incremental Domain Adaptation
* Class-wise Dynamic Graph Convolution for Semantic Segmentation
* Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation
* Classification of gait signals into different neurodegenerative diseases using statistical analysis and recurrence quantification analysis
* Classification of patients with tumor using MR FLAIR images
* Classification of the Complex Agricultural Planting Structure with a Semi-Supervised Extreme Learning Machine Framework
* Classification Via Simplicial Learning
* Classifying Degraded Images Over Various Levels Of Degradation
* Claws: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection
* Clear-Air Anomaly Masking Using Kalman Temporal Filter From Geostationary Multispectral Imagery
* Cliffnet for Monocular Depth Estimation with Hierarchical Embedding Loss
* Clnet: A Compact Latent Network for Fast Adjusting Siamese Trackers
* Closer Look at Generalisation in RAVEN, A
* Closer Look at Local Aggregation Operators in Point Cloud Analysis, A
* Closest Point Proposal for MCMC-based Probabilistic Surface Registration, A
* Cloth3D: Clothed 3D Humans
* Cloud Detection by Luminance and Inter-band Parallax Analysis for Pushbroom Satellite Imagers
* Cloudy Region Drought Index (CRDI) Based on Long-Time-Series Cloud Optical Thickness (CO
* Cluster Kernel For Learning Similarities Between Symmetric Positive Definite Matrix Time Series
* Clustering Driven Deep Autoencoder for Video Anomaly Detection
* Clutter Elimination Algorithm for Non-Precipitation Echo of Radar Data Considering Meteorological and Observational Properties in Polarimetric Measurements
* CN: Channel Normalization for Point Cloud Recognition
* CNAK: Cluster number assisted K-means
* CNN Oriented Complexity Reduction Of VVC Intra Encoder
* CNN Patch Pooling for Detecting 3D Mask Presentation Attacks in NIR
* CNN-Assisted Coverings in the Space of Tilts: Best Affine Invariant Performances with the Speed of CNNs
* Co-heterogeneous and Adaptive Segmentation from Multi-source and Multi-phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation
* Coarse-to-Fine Aggregation for Cross-Granularity Action Recognition
* Coastal Current Intrusions from Satellite Altimetry
* Coastal Dam Inundation Assessment for the Yellow River Delta: Measurements, Analysis and Scenario
* Coding Of Non-Rectangular Signals With Block-Based Transforms
* Collaboration by Competition: Self-coordinated Knowledge Amalgamation for Multi-Talent Student Learning
* Collaborative Learning Of Semi-Supervised Clustering And Classification For Labeling Uncurated Data
* Collaborative Video Object Segmentation by Foreground-background Integration
* Color Stereo Image Zero-Watermarking using Quaternion Radial Tchebichef Moments
* Color Transferred Convolutional Neural Networks for Image Dehazing
* Colorization of Depth Map via Disentanglement
* Combination Of Handcrafted And Deep Learning-Based Features For 3d Mesh Quality Assessment
* Combined geometric-radiometric and neural network approach to shallow bathymetric mapping with UAS imagery
* Combined Machine Learning and Residual Analysis Approach for Improved Retrieval of Shallow Bathymetry from Hyperspectral Imagery and Sparse Ground Truth Data, A
* Combining Implicit Function Learning and Parametric Models for 3d Human Reconstruction
* Combining Phenological Camera Photos and MODIS Reflectance Data to Predict GPP Daily Dynamics for Alpine Meadows on the Tibetan Plateau
* Combining SfM Photogrammetry and Terrestrial Laser Scanning to Assess Event-Scale Sediment Budgets along a Gravel-Bed Ephemeral Stream
* Comment on Choi et al. Correlation between Ionospheric TEC and the DCB Stability of GNSS Receivers from 2014 to 2016. Remote Sens. 2019, 11, 2657
* Comment on SFVCC: Chaotic map-based security framework for vehicular cloud computing
* Commonality-parsing Network Across Shape and Appearance for Partially Supervised Instance Segmentation
* Communication Latency and Speed-Dependent Minimum Time Headway for Connected Heavy Road Vehicle Collision Avoidance
* Compact Microstrip T-Shaped Resonator Band Pass Filter for 5G Applications, A
* Comparative Evaluation Of Temporal Pooling Methods For Blind Video Quality Assessment, A
* Compare and Reweight: Distinctive Image Captioning Using Similar Images Sets
* Comparing Measured Incoming Shortwave and Longwave Radiation on a Glacier Surface with Estimated Records from Satellite and Off-Glacier Observations: A Case Study for the Forni Glacier, Italy
* comparison between two methods of object detection: Fast Yolo model and Delaunay Triangulation, The
* Comparison of Compressed Sensing and DNN Based Reconstruction For Ghost Motion Imaging, A
* Comparison of land surface phenology in the Northern Hemisphere based on AVHRR GIMMS3g and MODIS datasets
* comparison of methods for 3D scene shape retrieval, A
* Comparison of the different control strategies for Quadrotor Unmanned Aerial Vehicle
* Competence-aware Curriculum for Visual Concepts Learning via Question Answering, A
* Complete Discriminative Tensor Representation Learning for Two-Dimensional Correlation Analysis, A
* Complex Spatial-Temporal Attention Aggregation For Video Person Re-Identification
* Complexity Analysis Of Next-Generation VVC Encoding And Decoding
* Complexity Analysis Of VVC Intra Coding
* Component Divide-and-conquer for Real-world Image Super-resolution
* Comprehensive Facial Expression Synthesis Using Human-Interpretable Language
* Comprehensive Framework For Accurate Classification of Pulmonary Nodules, A
* Comprehensive Image Captioning via Scene Graph Decomposition
* Comprehensive Study of Weight Sharing in Graph Networks for 3d Human Pose Estimation, A
* Compressed Hyperspectral Pansharpening
* Compressive Sensed Video Coding Having JPEG Compatibility
* Computational Analyses of Thin-Sliced Behavior Segments in Session-Level Affect Perception
* Computer Vision: Algorithms and Applications
* Computer-Aided Cervical Cancer Diagnosis Using Time-Lapsed Colposcopic Images
* Computing disparity map using minimum sum belief propagation for stereo pair images
* Conditional Convolutions for Instance Segmentation
* Conditional Entropy Coding for Efficient Video Compression
* Conditional Image Repainting via Semantic Bridge and Piecewise Value Function
* Conditional Probability Interpolation Method Based on a Space-Time Cube for MODIS Snow Cover Products Gap Filling, A
* Conditional Sequential Modulation for Efficient Global Image Retouching
* Conductor Reconstruction for Dynamic Line Rating Using Vehicle-Mounted LiDAR
* ConFIG: Controllable Neural Face Image Generation
* Connecting the Dots: Detecting Adversarial Perturbations Using Context Inconsistency
* Connecting Vision and Language with Localized Narratives
* Consistency Analysis and Accuracy Assessment of Three Global 30-m Land-Cover Products over the European Union using the LUCAS Dataset
* Consistency Guided Scene Flow Estimation
* Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost
* Consistently Fast and Globally Optimal Solution to the Perspective-n-point Problem, A
* Constrained Bundle Adjustment Applied To Wing 3d Reconstruction With Mechanical Limitations
* Constrained Convex Optimization Approach to Hyperspectral Image Restoration with Hybrid Spatio-Spectral Regularization, A
* Constraint saliency based intelligent camera for enhancing viewers attention towards intended face
* Constructing multilayer locality-constrained matrix regression framework for noise robust face super-resolution
* Contact and Human Dynamics from Monocular Video
* Contactpose: A Dataset of Grasps with Object Contact and Hand Pose
* Content Adaptive and Error Propagation Aware Deep Video Compression
* Content-aware Unsupervised Deep Homography Estimation
* Content-consistent Matching for Domain Adaptive Semantic Segmentation
* Content-Dependency Reduction With Multi-Task Learning In Blind Stitched Panoramic Image Quality Assessment
* Context Aware for Internet of Things: A Survey
* Context-Aware Hierarchical Feature Attention Network For Multi-Scale Object Detection
* Context-aware RCNN: A Baseline for Action Detection in Videos
* Context-Based Network For Referring Image Segmentation, A
* Contextual Heterogeneous Graph Network for Human-object Interaction Detection
* Contextual-relation Consistent Domain Adaptation for Semantic Segmentation
* Continual Learning Of Predictive Models In Video Sequences Via Variational Autoencoders
* Continual Local Training For Better Initialization Of Federated Models
* Continuity of MODIS and VIIRS Snow Cover Extent Data Products for Development of an Earth Science Data Record
* Contrastive Explanations In Neural Networks
* Contrastive Learning for Unpaired Image-to-image Translation
* Contrastive Multiview Coding
* Controllable Image Synthesis via SegVAE
* Controller design for delta operator time-delay systems subject to actuator saturation
* Controlling Style and Semantics in Weakly-supervised Image Generation
* Controls of Climate and Land-Use Change on Terrestrial Net Primary Productivity Variation in a Subtropical Humid Basin
* ConvLSTM-Combined Hierarchical Attention Network For Saliency Detection, A
* Convolutional Attention Model For Restaurant Recommendation With Multi-View Visual Features
* Convolutional Neural Network Pruning Using Filter Attenuation
* Convolutional Reconstruction-to-Sequence for Video Captioning
* COOGAN: A Memory-efficient Framework for High-resolution Facial Attribute Editing
* Cooperative adaptive cruise control and intelligent traffic signal interaction: a field operational test with platooning on a suburban arterial in real traffic
* Cooperative Driving at Unsignalized Intersections Using Tree Search
* Cooperative Eco-Driving at Signalized Intersections in a Partially Connected and Automated Vehicle Environment
* Cooperative Lane Changing Strategies to Improve Traffic Operation and Safety Nearby Freeway Off-Ramps in a Connected and Automated Vehicles Environment
* Cordial Sync: Going Beyond Marginal Policies for Multi-Agent Embodied Tasks, A
* Corenet: Coherent 3d Scene Reconstruction from a Single RGB Image
* CoRNet: Composite-Regularized Neural Network For Convolutional Sparse Coding
* Correlation between Ionospheric TEC and the DCB Stability of GNSS Receivers from 2014 to 2016
* CoRRN: Cooperative Reflection Removal Network
* CosyPose: Consistent Multi-view Multi-object 6d Pose Estimation
* CoTeRe-net: Discovering Collaborative Ternary Relations in Videos
* Count- and Similarity-aware R-CNN for Pedestrian Detection
* Counterfactual Vision-and-Language Navigation via Adversarial Path Sampler
* Coupled adversarial learning for semi-supervised heterogeneous face recognition
* Coupling Explicit and Implicit Surface Representations for Generative 3d Modeling
* Cpgan: Content-parsing Generative Adversarial Networks for Text-to-image Synthesis
* Credit Card Fraud Detection Based on Multilayer Perceptron and Extreme Learning Machine Architectures
* Cross-domain Cascaded Deep Translation
* Cross-Modal Deep Networks For Document Image Classification
* Cross-Modal Retrieval With Noisy Labels
* Cross-Modal Variational Framework For Food Image Analysis, A
* Cross-modal Weighting Network for RGB-D Salient Object Detection
* Cross-modality deep feature learning for brain tumor segmentation
* Cross-Sensor Quality Assurance for Marine Observatories
* Cross-view classification by joint adversarial learning and class-specificity distribution
* Cross-Year Multi-Modal Image Retrieval Using Siamese Networks
* Crowdsampling the Plenoptic Function
* CRVOS: Clue Refining Network For Video Object Segmentation
* CS-RPCA: Clustered Sparse RPCA for Moving Object Detection
* CSCL: Critical Semantic-consistent Learning for Unsupervised Domain Adaptation
* CSIOR: An Algorithm For Ordered Triangular Mesh Regularization
* CUID: A New Study Of Perceived Image Quality And Its Subjective Assessment
* Curriculum DeepSDF
* Curriculum Manager for Source Selection in Multi-source Domain Adaptation
* Curvelane-NAS: Unifying Lane-sensitive Architecture Search and Adaptive Point Blending
* CWV-Net: A Deep Neural Network for Atmospheric Column Water Vapor Retrieval From Hyperspectral VNIR Data
* CycAs: Self-supervised Cycle Association for Learning Re-identifiable Descriptions
* Cycle GAN-Based Data Augmentation For Multi-Organ Detection In CT Images Via Yolo
* Cycleptz: The Learning-Based Control Method For Master-Slave Camera Systems
* Cyclic Functional Mapping: Self-supervised Correspondence Between Non-isometric Deformable Shapes
* DA-NAS: Data Adapted Pruning for Efficient Neural Architecture Search
* Da4ad: End-to-end Deep Attention-based Visual Localization for Autonomous Driving
* DanbooRegion: An Illustration Region Dataset
* Dark Glacier Surface of Greenland's Largest Floating Tongue Governed by High Local Deposition of Dust
* Data Augmentation Using Artificial Immune Systems For Noise-Robust CNN Models
* Data Representation in Hybrid Coding Framework for Feature Maps Compression
* Data-driven sustainable smart manufacturing: A conceptual framework
* Datamix: Efficient Privacy-preserving Edge-cloud Inference
* DBQ: A Differentiable Branch Quantizer for Lightweight Deep Neural Networks
* DCM: A Dense-Attention Context Module For Semantic Segmentation
* Ddgcn: A Dynamic Directed Graph Convolutional Network for Action Recognition
* Decadal Global Climatology of Ice Cloud Fraction with Their Microphysical and Optical Properties Inferred from the CALIPSO and Reanalysis Data, A
* Decade of Modern Bridge Monitoring Using Terrestrial Laser Scanning: Review and Future Directions, A
* Decentralized AI Data Management System In Federated Learning, A
* Decoding Energy Modeling For Versatile Video Coding
* Decoding non-linearity for effective extraction of the eye-blink artifact pattern from EEG recordings
* DecomVQANet: Decomposing visual question answering deep network via tensor decomposition and regression
* Decoupled Learning Scheme for Real-world Burst Denoising from Raw Images, A
* Deep Adversarial Active Learning With Model Uncertainty For Image Classification
* Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images
* Deep Autoencoder Architectures For Foreground Object Detection In Video Sequences Based On Probabilistic Mixture Models
* Deep Based Recommender System For Relevant K Pick-up Points
* Deep Credible Metric Learning for Unsupervised Domain Adaptation Person Re-identification
* Deep Cross-species Feature Learning for Animal Face Recognition via Residual Interspecies Equivariant Network
* Deep Decomposition Learning for Inverse Imaging Problems
* Deep Fashion3d: A Dataset and Benchmark for 3d Garment Reconstruction from Single Images
* Deep Feature Compression With Spatio-Temporal Arranging for Collaborative Intelligence
* Deep features for person re-identification on metric learning
* Deep Feedback Inverse Problem Solver
* Deep Fusion Feature Representation Learning With Hard Mining Center-Triplet Loss for Person Re-Identification
* Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers
* Deep Hashing with Active Pairwise Supervision
* Deep Hough Transform for Semantic Line Detection
* Deep Hough-transform Line Priors
* Deep Image Clustering with Category-style Representation
* Deep Image Compression Using Decoder Side Information
* deep inference learning framework for healthcare, A
* Deep Inhomogeneous Regularization For Transfer Learning
* Deep Joint Depth Estimation and Color Correction From Monocular Underwater Images Based on Unsupervised Adaptation Networks
* Deep Learning And Interactivity For Video Rotoscoping
* 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 Based Cross-Spectral Disparity Estimation For Stereo Imaging
* Deep Learning Based Landmark Matching For Aerial Geolocalization
* Deep Learning Framework for 3D Surface Profiling of the Objects Using Digital Holographic Interferometry, A
* deep learning framework for matching of SAR and optical imagery, A
* Deep Learning vs. Traditional Algorithms for Saliency Prediction of Distorted Images
* Deep Learning-Based CAD System For Renal Allograft Assessment: Diffusion, Bold, And Clinical Biomarkers, A
* Deep Learning-Based Method for Quantifying and Mapping the Grain Size on Pebble Beaches, A
* Deep Learning-based Pupil Center Detection for Fast and Accurate Eye Tracking System
* Deep Learning-Based Spectral Unmixing for Optoacoustic Imaging of Tissue Oxygen Saturation
* Deep Local Feature Descriptor Learning With Dual Hard Batch Construction
* Deep Metric Learning with Triplet-Margin-Center Loss for Sketch Face Recognition
* Deep Mining External Imperfect Data for Chest X-Ray Disease Screening
* Deep Morphological Filter Networks For Gaussian Denoising
* Deep Multi Depth Panoramas for View Synthesis
* Deep multi-task learning with relational attention for business success prediction
* Deep Multimodal Sparse Representation-Based Classification
* Deep Near-light Photometric Stereo for Spatially Varying Reflectances
* Deep online classification using pseudo-generative models
* Deep Person Identification Using Spatiotemporal Facial Motion Amplification
* Deep Photo Cropper And Enhancer
* Deep Plastic Surgery: Robust and Controllable Image Editing with Human-drawn Sketches
* Deep Positional and Relational Feature Learning for Rotation-invariant Point Cloud Analysis
* Deep Predictive Motion Tracking in Magnetic Resonance Imaging: Application to Fetal Imaging
* Deep Regression Forest with Soft-Attention for Head Pose Estimation
* Deep Self-Learning Hashing for Image Retrieval
* Deep Smoothed Projected Landweber Network for Block-Based Image Compressive Sensing
* Deep snippet selective network for weakly supervised temporal action localization
* Deep Space-time Video Upsampling Networks
* Deep Spatial-angular Regularization for Compressive Light Field Reconstruction over Coded Apertures
* Deep Spiking Neural Network: Energy Efficiency Through Time Based Coding
* Deep Subclass Linear Discriminant Analysis For Multimodal Feature Space Learning
* Deep Transfer Learning for Vulnerable Road Users Detection using Smartphone Sensors Data
* Deep Transferring Quantization
* Deep Vectorization of Technical Drawings
* Deep Video Prediction Through Sparse Motion Regularization
* Deep Virtual Reference Frame Generation For Multiview Video Coding
* Deep-Learning Image Reconstruction for Real-Time Photoacoustic System
* Deep-Learning-Based Classification of Point Clouds for Bridge Inspection
* DEEP-URL: A Model-Aware Approach to Blind Deconvolution Based on Deep Unfolded Richardson-Lucy Network
* Deepcabac: Plug Play Compression of Neural Network Weights and Weight Updates
* DeepFacade: A Deep Learning Approach to Facade Parsing With Symmetric Loss
* Deepfit: 3d Surface Fitting via Neural Network Weighted Least Squares
* DeepGMR: Learning Latent Gaussian Mixture Models for Registration
* Deephandmesh: A Weakly-supervised Deep Encoder-decoder Framework for High-fidelity Hand Mesh Modeling
* DeepLandscape: Adversarial Modeling of Landscape Videos
* Deepmpc: A Mixture ABR Approach Via Deep Learning and MPC
* DeepQoE: A Multimodal Learning Framework for Video Quality of Experience (QoE) Prediction
* DeepSFM: Structure from Motion via Deep Bundle Adjustment
* Defense Against Adversarial Attacks via Controlling Gradient Leaking on Embedded Manifolds
* Defocus Blur Detection via Depth Distillation
* Defocus Deblurring Using Dual-pixel Data
* Deformable Quaternion Gabor Convolutional Neural Network For Color Facial Expression Recognition
* Deformable Spatial Propagation Networks For Depth Completion
* Deformable Style Transfer
* Deformation-aware 3d Model Embedding and Retrieval
* 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
* Delineation of built-up land change from SAR stack by analysing the coefficient of variation
* Deltas: Depth Estimation by Learning Triangulation and Densification of Sparse Points
* Demea: Deep Mesh Autoencoders for Non-rigidly Deforming Objects
* Dense Hybrid Recurrent Multi-view Stereo Net with Dynamic Consistency Checking
* Dense Reppoints: Representing Visual Objects with Dense Point Sets
* Dependent Scalar Quantization For Neural Network Compression
* Depth Estimation From Light Field Using Graph-Based Structure-Aware Analysis
* Depth Estimation From Single Image And Semantic Prior
* Depth Map Inpainting And Super-Resolution With Arbitrary Scale Factors
* Depth Maps Fast Scalable Compression Based On Coding Unit Depth
* Depth-guided saliency detection via boundary information
* Describing Textures Using Natural Language
* Describing Unseen Videos via Multi-Modal Cooperative Dialog Agents
* Descriptor Scoring for Feature Selection in Real-Time Visual SLAM
* DeshuffleGAN: A Self-Supervised GAN to Improve Structure Learning
* Design and FPGA Implementation of an Adaptive video Subsampling Algorithm for Energy-Efficient Single Object Tracking
* Design and Interpretation of Universal Adversarial Patches in Face Detection
* Design and Performance Analysis of a Skin-Stretcher Device for Urging Head Rotation
* Design of a business contingency plan. Case study: Municipality of Cantón Suscal.
* Detail Preserved Point Cloud Completion via Separated Feature Aggregation
* Detecting and Tracking Moving Airplanes from Space Based on Normalized Frame Difference Labeling and Improved Similarity Measures
* Detecting Change at Archaeological Sites in North Africa Using Open-Source Satellite Imagery
* Detecting Cover Crop End-Of-Season Using VENµS and Sentinel-2 Satellite Imagery
* Detecting Deficient Coverage in Colonoscopies
* Detecting distraction of drivers using Convolutional Neural Network
* Detecting Human-object Interactions with Action Co-occurrence Priors
* Detecting Natural Disasters, Damage, and Incidents in the Wild
* Detecting Plant Invasion in Urban Parks with Aerial Image Time Series and Residual Neural Network
* Detecting Prohibited Items in X-Ray Images: a Contour Proposal Learning Approach
* Detection and Classification of Industrial Signal Lights for Factory Floors
* Detection Features as Attention (Defat): A Keypoint-Free Approach to Amur Tiger Re-Identification
* Detection of banana plants and their major diseases through aerial images and machine learning methods: A case study in DR Congo and Republic of Benin
* Detection of Defoliation Injury in Peanut with Hyperspectral Proximal Remote Sensing
* Detection of Event of Interest for Satellite Video Understanding
* Detection of Market Manipulation using Ensemble Neural Networks
* Detection of panoramic vision pedestrian based on deep learning
* Detection Of Ship Wakes In Sar Imagery Using Cauchy Regularisation
* Detection of Undocumented Building Constructions from Official Geodata Using a Convolutional Neural Network
* determination of the optimal strip-thickness of anti-scatter grids for a given grid ratio and strip height, The
* Determining Optimal Location for Mangrove Planting Using Remote Sensing and Climate Model Projection in Southeast Asia
* Determining the Relevance of Features for Deep Neural Networks
* Developing a dynamic utilisation scheme for exclusive bus lanes on urban expressways: an enhanced CTM-based approach versus a microsimulation-based approach
* Developing a machine learning based cotton yield estimation framework using multi-temporal UAS data
* Developing an Atlas of Harmful Algal Blooms in the Red Sea: Linkages to Local Aquaculture
* Developing and Testing Models for Sea Surface Wind Speed Estimation with GNSS-R Delay Doppler Maps and Delay Waveforms
* Developing Good Habits Using Deep Learning Techniques
* Development of a clinical decision support system for the early detection of COVID-19 using deep learning based on chest radiographic images
* Development of automatic glioma brain tumor detection system using deep convolutional neural networks
* Development Of New Fractal And Non-Fractal Deep Residual Networks For Deblocking Of JPEG Decompressed Images
* Devil Is in Classification: A Simple Framework for Long-tail Instance Segmentation, The
* Devil Is in the Details: Self-supervised Attention for Vehicle Re-identification, The
* DH3D: Deep Hierarchical 3d Descriptors for Robust Large-scale 6DOF Relocalization
* DHP: Differentiable Meta Pruning via Hypernetworks
* Diag2graph: Representing Deep Learning Diagrams In Research Papers As Knowledge Graphs
* Diagnosing Autism Using T1-W MRI With Multi-Kernel Learning and Hypergraph Neural Network
* Different Color Spaces In Deep Learning-Based Water Segmentation For Autonomous Marine Operations
* Differentiable Automatic Data Augmentation
* Differentiable Feature Aggregation Search for Knowledge Distillation
* Differentiable Hierarchical Graph Grouping for Multi-person Pose Estimation
* Differentiable Programming for Hyperspectral Unmixing Using a Physics-based Dispersion Model
* Differentiable Recurrent Surface for Asynchronous Event-based Data, A
* Differentiated Backprojection Domain Deep Learning for Conebeam Artifact Removal
* Diffraction Line Imaging
* Digging Hierarchical Information For Visual Place Recognition With Weighting Similarity Metric
* Digital Elevation Model Quality Assessment Methods: A Critical Review
* Digital Image Correlation of Google Earth Images for Earth's Surface Displacement Estimation
* Dimensionality Reduction for Tensor Data Based on Local Decision Margin Maximization
* Dimensionality Reduction Via Diffusion Map Improved With Supervised Linear Projection
* DInSAR for Road Infrastructure Monitoring: Case Study Highway Network of Rome Metropolitan (Italy)
* Direct Regression Scene Text Detector With Position-Sensitive Segmentation, A
* Directional Temporal Modeling for Action Recognition
* Disambiguating Monocular Depth Estimation with a Single Transient
* Discrete Point Flow Networks for Efficient Point Cloud Generation
* Discrete Probability Distribution Prediction of Image Emotions with Shared Sparse Learning
* Discriminability Distillation in Group Representation Learning
* Discriminating Forest Successional Stages, Forest Degradation, and Land Use in Central Amazon Using ALOS/PALSAR-2 Full-Polarimetric Data
* Discriminative Clip Mining for Video Anomaly Detection
* Discriminative Cross-Modal Transfer Learning and Densely Cross-Level Feedback Fusion for RGB-D Salient Object Detection
* Discriminative Partial Domain Adversarial Network
* Disentangled Non-local Neural Networks
* Disentangled Representation Learning Based Multidomain Stain Normalization For Histological Images
* Disentangling Multiple Features in Video Sequences Using Gaussian Processes in Variational Autoencoders
* Disentangling The Spatial Structure and Style in Conditional VAE
* Displacement Imaging for Focused Ultrasound Peripheral Nerve Neuromodulation
* Displacement Monitoring in Airport Runways by Persistent Scatterers SAR Interferometry
* distinctive approach in brain tumor detection and classification using MRI, A
* Distortion Rectification From Static to Dynamic: A Distortion Sequence Construction Perspective
* Distributed Optimization for Robot Networks: From Real-Time Convex Optimization to Game-Theoretic Self-Organization
* Distribution-balanced Loss for Multi-label Classification in Long-tailed Datasets
* Diva: Diverse Visual Feature Aggregation for Deep Metric Learning
* Dive Deeper into Box for Object Detection
* Diverse and Admissible Trajectory Forecasting Through Multimodal Context Understanding
* DLOW: Diversifying Latent Flows for Diverse Human Motion Prediction
* DLT-Net: Joint Detection of Drivable Areas, Lane Lines, and Traffic Objects
* Do Not Disturb Me: Person Re-identification Under the Interference of Other Pedestrians
* Do Not Mask What You Do Not Need to Mask: A Parser-free Virtual Try-on
* Document Structure Extraction Using Prior Based High Resolution Hierarchical Semantic Segmentation
* Does Super-Resolution Improve OCR Performance In The Real World? A Case Study On Images Of Receipts
* Domain Adaptation Based on Correlation Subspace Dynamic Distribution Alignment for Remote Sensing Image Scene Classification
* Domain Adaptation by Class Centroid Matching and Local Manifold Self-Learning
* Domain Adaptation For Lane Marking: An Unsupervised Approach
* Domain Adaptation Through Task Distillation
* Domain Adaptive Semantic Segmentation Using Weak Labels
* Domain-invariant Stereo Matching Networks
* Domain-specific Mappings for Generative Adversarial Style Transfer
* Domain2vec: Domain Embedding for Unsupervised Domain Adaptation
* DOPE: Distillation of Part Experts for Whole-body 3d Pose Estimation in the Wild
* DOS attack forecasting: A comparative study on wrapper feature selection
* Double-Attentive Principle Component Analysis
* DPDist: Comparing Point Clouds Using Deep Point Cloud Distance
* DR-KFS: A Differentiable Visual Similarity Metric for 3D Shape Reconstruction
* DRCAS: Deep Restoration Network for Hardware Based Compressive Acquisition Scheme
* Driver Inattention Detection in the Context of Next-Generation Autonomous Vehicles Design: A Survey
* Drone-Based Vehicle Flow Estimation and its Application to Traffic Conflict Hotspot Detection at Intersections
* Dronecaps: Recognition of Human Actions in Drone Videos Using Capsule Networks With Binary Volume Comparisons
* Dsdnet: Deep Structured Self-driving Network
* DSL for collaborative Business Process, A
* Dtvnet: Dynamic Time-lapse Video Generation via Single Still Image
* Du2net: Learning Depth Estimation from Dual-cameras and Dual-pixels
* Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation
* Dual Convolutional LSTM Network for Referring Image Segmentation
* Dual Energy Differential Phase Contrast CT (DE-DPC-CT) Imaging
* Dual Independent Classification For Sketch-Based 3D Shape Retrieval
* Dual Information-Based Background Model For Moving Object Detection
* Dual Refinement Underwater Object Detection Network
* Dual-Direction Perception and Collaboration Network for Near-Online Multi-Object Tracking
* Duality Diagram Similarity: A Generic Framework for Initialization Selection in Task Transfer Learning
* Dust Dispersion and Its Effect on Vegetation Spectra at Canopy and Pixel Scales in an Open-Pit Mining Area
* DVI: Depth Guided Video Inpainting for Autonomous Driving
* Dynamic and Static Context-aware Lstm for Multi-agent Motion Prediction
* Dynamic Background Subtraction Using Least Square Adversarial Learning
* Dynamic Deep Pixel Distribution Learning for Background Subtraction
* Dynamic Dual-attentive Aggregation Learning for Visible-infrared Person Re-identification
* Dynamic Group Convolution for Accelerating Convolutional Neural Networks
* Dynamic Image Adjustment Method and Evaluation for Glassless 3D Viewing Systems
* Dynamic Low-light Imaging with Quanta Image Sensors
* Dynamic Object-Aware Monocular Visual Odometry With Local And Global Information Aggregation
* Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training
* Dynamic ReLU
* Dynamic time warping-based imputation for univariate time series data
* EAAT: Environment-Aware Adaptive Transmission for Split-Screen Video Streaming
* Eagleeye: Fast Sub-net Evaluation for Efficient Neural Network Pruning
* Early detection of COVID19 by deep learning transfer Model for populations in isolated rural areas
* Early ICESat-2 on-orbit Geolocation Validation Using Ground-Based Corner Cube Retro-Reflectors
* Ecological Adaptive Cruise Control With Optimal Lane Selection in Connected Vehicle Environments
* EDF-based real-time scheduling for self-powered sensors: A survey of main theoretical results
* Edge Oriented Hierarchical Motion Estimation For Video Coding
* Edge-GAN: Edge Conditioned Multi-View Face Image Generation
* Edge-Guided Image Downscaling With Adaptive Filtering
* Editorial for the Special Issue: Assessment of Renewable Energy Resources with Remote Sensing
* EEG-Based Assessment of Perceived Quality in Complex Natural Images
* effect of image recognition traffic prediction method under deep learning and naive Bayes algorithm on freeway traffic safety, The
* Effect Of Sea State On Ship Wake Detectability In Simulated Sar Imagery, The
* Effect of Various Visual Speech Units on Language Identification Using Visual Speech Recognition
* Effective crowd counting using multi-resolution context and image quality assessment-guided training
* Effective CU size decision algorithm based on depth map homogeneity for 3D-HEVC inter-coding
* Effective Hierarchical Resolution Learning Method for Low-Resolution Targets Tracking, An
* Effective High Spatiotemporal Resolution NDVI Fusion Model Based on Histogram Clustering, An
* Effects of radiometric correction on cover type and spatial resolution for modeling plot level forest attributes using multispectral airborne LiDAR data
* Effects of the High-Order Ionospheric Delay on GPS-Based Tropospheric Parameter Estimations in Turkey
* Efficiency-Driven Approach For Real-Time Optical Flow Processing On Parallel Hardware, An
* Efficient Accelerator Design Methodology For Deformable Convolutional Networks, An
* Efficient Adversarial Attacks for Visual Object Tracking
* efficient and high quality medical CT image enhancement algorithm, An
* Efficient Ant Colony System Approach for New Energy Vehicle Dispatch Problem, An
* Efficient Collection of Connected Vehicles Data With Precision Guarantees
* Efficient Convolutional Neural Networks for Depth-Based Multi-Person Pose Estimation
* Efficient Coupled Dictionary Learning And Sparse Coding For Noisy Piecewise-Smooth Signals: Application To Hyperspectral Imaging
* Efficient Detection of Pixel-Level Adversarial Attacks
* Efficient Ellipse Detector Based On Region Detection And Arc Pruning, An
* Efficient Fixed-Point Implementation Of Matrix-Based Intra Prediction
* Efficient Graph Construction For Image Representation
* Efficient HEVC-to-VVC Transcoder Based On A Bayesian Classifier For The First Quadtree Depth Level
* Efficient Neighbourhood Consensus Networks via Submanifold Sparse Convolutions
* Efficient Non-line-of-sight Imaging from Transient Sinograms
* Efficient Nonlinear Dichotomous Coordinate Descent Adaptive Algorithm Based on Random Fourier Features, An
* Efficient OCT Image Segmentation Using Neural Architecture Search
* Efficient Outdoor 3d Point Cloud Semantic Segmentation for Critical Road Objects and Distributed Contexts
* Efficient Rationalization of Triplet Halfband Filter Banks and its Application to Image Compression
* Efficient Reconstruction and Compression of Large Size ECG Signal by Tchebichef Moments
* Efficient Residue Number System Based Winograd Convolution
* Efficient Scale-Permuted Backbone with Learned Resource Distribution
* Efficient semantic segmentation with pyramidal fusion
* Efficient Semantic Video Segmentation with Per-frame Inference
* Efficient Spatio-temporal Recurrent Neural Network for Video Deblurring
* Efficient Temporal-Spatial Feature Grouping For Video Action Recognition
* Efficient Training Framework for Reversible Neural Architectures, An
* Efficient Transfer Learning via Joint Adaptation of Network Architecture and Weight
* Efficient Underwater Image Enhancement Model With Extensive Beer-Lambert Law, An
* Efficientfcn: Holistically-guided Decoding for Semantic Segmentation
* EFN: Field-Based Object Detection for Aerial Images
* EGDCL: An Adaptive Curriculum Learning Framework for Unbiased Glaucoma Diagnosis
* Egok360: A 360 Egocentric Kinetic Human Activity Video Dataset
* Elevation Changes of the Antarctic Ice Sheet from Joint Envisat and CryoSat-2 Radar Altimetry
* Embedding Propagation: Smoother Manifold for Few-shot Classification
* Emotion Transformation Feature: Novel Feature For Deception Detection In Videos
* Empirical Analysis Of Overfitting And Mode Drop In GAN Training
* Empirical Approach to Modeling User-System Interaction Conflicts in Smart Homes, An
* Empirical validation of photon recollision probability in single crowns of tree seedlings
* Employing Multi-estimations for Weakly-supervised Semantic Segmentation
* Empowering Relational Network by Self-attention Augmented Conditional Random Fields for Group Activity Recognition
* Enabling Deep Residual Networks for Weakly Supervised Object Detection
* Encoding High-Throughput Jpeg2000 (HTJ2K) Images on a GPU
* Encoding Structure-texture Relation with P-net for Anomaly Detection in Retinal Images
* Encryption Inspired Adversarial Defense For Visual Classification
* End-to-End Adversarial Hashing Method for Unsupervised Multispectral Remote Sensing Image Retrieval, An
* End-to-End Deep Kernel Map Design for Image Annotation
* End-to-end Dynamic Matching Network for Multi-view Multi-person 3d Pose Estimation
* End-To-End Framework For Pose Estimation of Occluded Pedestrians, An
* End-to-end Interpretable Learning of Non-blind Image Deblurring
* End-To-End Learned Image Compression With Fixed Point Weight Quantization
* End-to-End Learning of Compressible Features
* End-to-end Low Cost Compressive Spectral Imaging with Spatial-spectral Self-attention
* End-To-End Network For Detecting Multi-Domain Fractures On X-Ray Images, An
* End-to-end Object Detection with Transformers
* End-to-end OCR Text Re-organization Sequence Learning for Rich-text Detail Image Comprehension, An
* End-to-End Rate-Distortion Optimization for Bi-Directional Learned Video Compression
* end-to-end shape modeling framework for vectorized building outline generation from aerial images, An
* End-to-End Temporal Feature Aggregation for Siamese Trackers
* Energy-based Models for Deep Probabilistic Regression
* Enhance Categorisation Of Multilevel High-Sensitivity Cardiovascular Biomarkers From Lateral Flow Immunoassay Images Via Neural Networks And Dynamic Time Warping
* Enhance Generative Adversarial Networks By Wavelet Transform To Denoise Low-Dose CT Images
* enhanced backoff strategy for fair channel access in WBAN-based health monitoring systems, An
* Enhanced Deep Learning Architecture for Classification of Tuberculosis Types From CT Lung Images, An
* Enhanced Image Reconstruction From Quarter Sampling Measurements Using An Adapted Very Deep Super Resolution Network
* Enhanced Image Restoration Via Supervised Target Feature Transfer
* Enhanced Local Texture Descriptor for Image Segmentation, An
* Enhanced Redundant Measurement-Based Kalman Filter for Measurement Noise Covariance Estimation in INS/GNSS Integration
* Enhanced Sparse Model for Blind Deblurring
* enhanced weighted greedy analysis pursuit algorithm with application to EEG signal reconstruction, An
* Enhancing breast pectoral muscle segmentation performance by using skip connections in fully convolutional network
* Enhancing GPSR routing protocol based on Velocity and Density for real-time urban scenario
* Enhancing Machine Translation by Integrating Linguistic Knowledge in the Word Alignment Module
* Enhancing mmWave DOA Estimation by Cumulative Power Gradient At Low SNR
* Ensemble Learning Using Bagging And Inception-V3 For Anomaly Detection In Surveillance Videos
* Ensemble Of Deep Cascades For Detection Of Laryngeal Adductor Reflex Events In Endoscopy Videos
* Ensemble of Generation- and Retrieval-Based Image Captioning With Dual Generator Generative Adversarial Network, An
* Ensemble of Machine-Learning Methods for Predicting Gully Erosion Susceptibility
* Ensemble Super-Resolution With a Reference Dataset
* Entropy based dictionary learning for image classification
* Entropy Minimisation Framework for Event-based Vision Model Estimation
* Environmental sustainability with remote sensing in Africa
* EPNet: Enhancing Point Features with Image Semantics for 3D Object Detection
* EQ-LPR: Efficient Quality-Aware License Plate Recognition
* Erasing Appearance Preservation in Optimization-based Smoothing
* Error Correction CP-BZD Storage Codes for Content Delivery in Drive-Thru Internet
* Estimates of Forest Canopy Height Using a Combination of ICESat-2/ATLAS Data and Stereo-Photogrammetry
* Estimating Crop LAI Using Spectral Feature Extraction and the Hybrid Inversion Method
* Estimating Fuel Loads and Structural Characteristics of Shrub Communities by Using Terrestrial Laser Scanning
* Estimating People Flows to Better Count Them in Crowded Scenes
* Estimating Structure and Biomass of a Secondary Atlantic Forest in Brazil Using Fourier Transforms of Vertical Profiles Derived from UAV Photogrammetry Point Clouds
* Estimating Time Since the Last Stand-Replacing Disturbance (TSD) from Spaceborne Simulated GEDI Data: A Feasibility Study
* Estimating Vertical Chlorophyll Concentrations in Maize in Different Health States Using Hyperspectral LiDAR
* Estimating Vertical Land Motion from Remote Sensing and In-Situ Observations in the Dubrovnik Area (Croatia): A Multi-Method Case Study
* Estimating VR Sickness Caused By Camera Shake in VR Videography
* Estimating Water Reflectance at Near-Infrared Wavelengths for Turbid Water Atmospheric Correction: A Preliminary Study for GOCI-II
* Estimation of Impression Associated With Portraits Using Facial Landmarks and Visual Features
* Estimation of PRI Stagger in Case of Missing Observations
* Estimation of the Number of Endmembers in Hyperspectral Images Using Agglomerative Clustering
* Estimation Of Visual Contents Based On Question Answering From Human Brain Activity
* ETH-Xgaze: A Large Scale Dataset for Gaze Estimation Under Extreme Head Pose and Gaze Variation
* Evaluation of a Predictor-Based Framework in High-Speed Teleoperated Military UGVs
* Evaluation Of Design Choices For Pedestrian Attribute Recognition In Video, An
* Evaluation of HF Radar Wave Measurements in Iberian Peninsula by Comparison with Satellite Altimetry and in Situ Wave Buoy Observations
* Evaluation of LBP Variants in Retinal Blood Vessels Segmentation Using Machine Learning
* Evaluation of Multi-Satellite Precipitation Datasets and Their Error Propagation in Hydrological Modeling in a Monsoon-Prone Region
* Evaluation of SMAP Level 2, 3, and 4 Soil Moisture Datasets over the Great Lakes Region
* Evaluations of Machine Learning-Based CYGNSS Soil Moisture Estimates against SMAP Observations
* Event Enhanced High-quality Image Recovery
* Event-based Asynchronous Sparse Convolutional Networks
* Event-Based High Frame-Rate Video Reconstruction With A Novel Cycle-Event Network
* Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector
* Exaggerated Learning for Clean-and-Sharp Image Restoration
* Examining the Robustness of a Spatial Bootstrap Regional Approach for Radar-Based Hourly Precipitation Frequency Analysis
* Example-guided Image Synthesis Using Masked Spatial-channel Attention and Self-supervision
* Exchangeable Deep Neural Networks for Set-to-set Matching and Learning
* Experimental exploration on loss surface of deep neural network
* Experimental Fire Measurement with UAV Multimodal Stereovision
* Experiments using deep learning for dermoscopy image analysis
* Explainable Face Recognition
* Explainable skin lesion diagnosis using taxonomies
* Explaining Image Classifiers Using Statistical Fault Localization
* Explaining the semantics capturing capability of scene graph generation models
* Explanation-based Weakly-supervised Learning of Visual Relations with Graph Networks
* Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation
* Exploiting Temporal Coherence for Self-supervised One-shot Video Re-identification
* Exploiting textual queries for dynamically visual disambiguation
* Exploring Appropriate Preprocessing Techniques for Hyperspectral Soil Organic Matter Content Estimation in Black Soil Area
* Exploring Domain Knowledge for Facial Expression-Assisted Action Unit Activation Recognition
* Exploring Global and Local Linguistic Representations for Text-to-Image Synthesis
* Exploring Highly Efficient Compact Neural Networks For Image Classification
* Exploring Impact of Spatial Unit on Urban Land Use Mapping with Multisource Data
* Exploring Long-Short-Term Context For Point Cloud Semantic Segmentation
* Exploring the Optical Properties of Leaf Photosynthetic and Photo-Protective Pigments In Vivo Based on the Separation of Spectral Overlapping
* Exposing Fake Bitrate Videos Using Hybrid Deep-Learning Network From Recompression Error
* Expression-Reinforced Sparse Subspace Clustering By Orthogonal Matching Pursuit, An
* Extended Look-Ahead Tracking Controller With Orientation-Error Observer for Vehicle Platooning
* Extended opinion lexicon and ML-based sentiment analysis of tweets: a novel approach towards accurate classifier
* Extending and Analyzing Self-supervised Learning Across Domains
* Extending Compressive Bilateral Filtering For Arbitrary Range Kernel
* Extending Hashing Towards Fast Re-Identification
* Extracting Deep Local Features to Detect Manipulated Images of Human Faces
* Extrapolative-Interpolative Cycle-Consistency Learning For Video Frame Extrapolation
* Eyeglasses 3d Shape Reconstruction from a Single Face Image
* Face Anti-spoofing via Disentangled Representation Learning
* Face Anti-spoofing with Human Material Perception
* Face Authentication From Grayscale Coded Light Field
* Face Recognition Under Low Illumination Via Deep Feature Reconstruction Network
* Face Super-resolution Guided by 3d Facial Priors
* Facial Expression Imitation Method for Humanoid Robot Based on Smooth-Constraint Reversed Mechanical Model (SRMM)
* Facial expression recognition based on geometric features
* Facial expression recognition using human machine interaction and multi-modal visualization analysis for healthcare applications
* Facial Expression Recognition Using Spatial-Temporal Semantic Graph Network
* Facial expressions classification and false label reduction using LDA and threefold SVM
* Fair Darts: Eliminating Unfair Advantages in Differentiable Architecture Search
* FAKD: Feature-Affinity Based Knowledge Distillation for Efficient Image Super-Resolution
* Fake Generated Painting Detection Via Frequency Analysis
* Fake Video Detection With Certainty-Based Attention Network
* False Positive Removal for 3D Vehicle Detection With Penetrated Point Classifier
* FANet: Features Adaptation Network for 360° Omnidirectional Salient Object Detection
* Farmland Parcel Mapping in Mountain Areas Using Time-Series SAR Data and VHR Optical Images
* Fashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards
* Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset
* Fast Adaptation to Super-resolution Networks via Meta-learning
* Fast and Efficient Facial Expression Recognition Using a Gabor Convolutional Network
* fast and high frame rate adaptive beamforming using DCT-based RF-line recovery in line-by-line ultrasound imaging, A
* Fast and robust approaches for lane detection using multi-camera fusion in complex scenes
* Fast Depth Map Intra Mode Prediction Based on Self-organizing Map
* Fast Lossless Implementation Of The Intra Subpartition Mode For VVC, A
* Fast Method For Shape Template Generation, A
* Fast Multi-Stage Motion-Compensated Approach for HDR
* Fast Portrait Segmentation With Highly Light-Weight Network
* Fast Roughness Minimizing Image Restoration Under Mixed Poisson-Gaussian Noise
* Fast Tumor Detector in Whole-Slide Image With Dynamic Programing Based Monte Carlo Sampling
* Fast Video Object Segmentation Using the Global Context Module
* Faster Autoaugment: Learning Augmentation Strategies Using Backpropagation
* Faster Person Re-identification
* FDBP-InSAR: An Efficient Algorithm for InSAR Imaging via Frequency Domain Back Projection
* Fdflownet: Fast Optical Flow Estimation Using A Deep Lightweight Network
* Feasibility of Ceilometers Data to Estimate Radiative Forcing Values: Application to Different Conditions around the COVID-19 Lockdown Period
* Feature Aggregation Attention Network for Single Image Dehazing
* Feature Comparison Based Channel Attention For Fine-Grained Visual Classification
* Feature Enhancement and Fusion for Image-Based Particle Matter Estimation With F-MSE Loss
* Feature Extraction For Visual Speaker Authentication Against Computer-Generated Video Attacks
* Feature Integration Via Geometrical Supervised Multi-View Multi-Label Canonical Correlation For Incomplete Label Assignment
* Feature Normalized Knowledge Distillation for Image Classification
* Feature Pair Fusion and Hierarchical Learning Framework for Video Re-Localization, A
* Feature Pyramid Transformer
* Feature Representation Matters: End-to-end Learning for Reference-based Image Super-resolution
* Feature-Enhanced Speckle Reduction via Low-Rank and Space-Angle Continuity for Circular SAR Target Recognition
* Feature-metric Loss for Self-supervised Learning of Depth and Egomotion
* Federated Visual Classification with Real-World Data Distribution
* Few Shot Learning For Point Cloud Data Using Model Agnostic Meta Learning
* Few-Class Learning For Image-Classification-Aware Denoising
* Few-shot Action Recognition with Permutation-invariant Attention
* Few-shot Compositional Font Generation with Dual Memory
* Few-Shot Learning for Remote Sensing Image Retrieval With MAML
* Few-Shot Learning With Attention-Weighted Graph Convolutional Networks For Hyperspectral Image Classification
* Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild
* Few-shot Scene-adaptive Anomaly Detection
* Few-shot Semantic Segmentation with Democratic Attention Networks
* Few-shot Single-view 3-d Object Reconstruction with Compositional Priors
* FFAU: Framework for Fully Autonomous UAVs
* Fhde2net: Full High Definition Demoireing Network
* Filter Style Transfer Between Photos
* Filtering impulse noise in medical images using information sets
* Finding It at Another Side: A Viewpoint-adapted Matching Encoder for Change Captioning
* Finding Non-uniform Quantization Schemes Using Multi-task Gaussian Processes
* Fine-grained Visual Classification via Progressive Multi-granularity Training of Jigsaw Patches
* Finite mixture survival model for examining the variability of urban arterial travel time for buses, passenger cars and taxis
* FIRED (Fire Events Delineation): An Open, Flexible Algorithm and Database of US Fire Events Derived from the MODIS Burned Area Product (2001-201
* First Evidences of Ionospheric Plasma Depletions Observations Using GNSS-R Data from CYGNSS
* Fixation-Based 360° Benchmark Dataset For Salient Object Detection, A
* Fixing Localization Errors to Improve Image Classification
* Flash Flood Susceptibility Modeling Using New Approaches of Hybrid and Ensemble Tree-Based Machine Learning Algorithms
* Flexible Recurrent Residual Pyramid Network for Video Frame Interpolation, A
* Flexible Spatial and Angular Light Field Super Resolution
* Flood Hazard and Risk Assessment of Extreme Weather Events Using Synthetic Aperture Radar and Auxiliary Data: A Case Study
* Flood Mapping in Vegetated Areas Using an Unsupervised Clustering Approach on Sentinel-1 and -2 Imagery
* Flood severity mapping from Volunteered Geographic Information by interpreting water level from images containing people: A case study of Hurricane Harvey
* Flot: Scene Flow on Point Clouds Guided by Optimal Transport
* Folding-Based Compression Of Point Cloud Attributes
* Foldmatch: Accurate and High Fidelity Garment Fitting Onto 3D Scans
* Foley Music: Learning to Generate Music from Videos
* Food Sustenance Estimation Using Food Image
* Forecasting Human-object Interaction: Joint Prediction of Motor Attention and Actions in First Person Video
* Forecasting Spatio-Temporal Dynamics on the Land Surface Using Earth Observation Data: A Review
* Forecasting Sunflower Grain Yield by Assimilating Leaf Area Index into a Crop Model
* Forecasting usage and bike distribution of dockless bike-sharing using journey data
* Forest Drought Response Index (ForDRI): A New Combined Model to Monitor Forest Drought in the Eastern United States
* Forest Fire Susceptibility Prediction Based on Machine Learning Models with Resampling Algorithms on Remote Sensing Data
* Forward-Inverse 2D Hardware Implementation of Approximate Transform Core for the VVC Standard
* Fourier Domain Anomaly Detection and Spectral Fusion for Stripe Noise Removal of TIR Imagery
* FPB: Improving Multi-Scale Feature Representation Inside Convolutional Layer Via Feature Pyramid Block
* FPGA-Based On-Board Hyperspectral Imaging Compression: Benchmarking Performance and Energy Efficiency against GPU Implementations
* FPHA-Afford: A Domain-Specific Benchmark Dataset for Occluded Object Affordance Estimation in Human-Object-Robot Interaction
* Fractal Metamaterial Antenna for Bluetooth, WLAN, WiMAX and X-band Applications, A
* Fractal Projection and Markovian Segmentation-Based Approach for Multimodal Change Detection, A
* Fractional-Order Correntropy Adaptive Filters for Distributed Processing of Alpha-Stable Signals
* Frame Rate Up-Conversion Using Bi-Directional Optical Flows With Dual Regularization
* Framework for Assessing Rendering Techniques for Near-Eye Integral Imaging Displays, A
* framework for multiscale intertidal sandflat mapping: A case study in the Whangateau estuary, A
* framework for offline signature verification system: Best features selection approach, A
* Free View Synthesis
* Freecam3d: Snapshot Structured Light 3d with Freely-moving Cameras
* Frequent Itemsets Methods for Text Clustering
* From Image to Stability: Learning Dynamics from Human Pose
* From known to the unknown: Transferring knowledge to answer questions about novel visual and semantic concepts
* From Planetscope To Worldview: Micro-Satellite Image Super-Resolution With Optimal Transport Distance
* From Shadow Segmentation to Shadow Removal
* FTL: A Universal Framework for Training Low-bit DNNs via Feature Transfer
* Fuel Type Classification Using Airborne Laser Scanning and Sentinel 2 Data in Mediterranean Forest Affected by Wildfires
* Full Convolutional Neural Network Based on Multi-Scale Feature Fusion for the Class Imbalance Remote Sensing Image Classification
* Full-body Awareness from Partial Observations
* Full-time Monocular Road Detection Using Zero-distribution Prior of Angle of Polarization
* Fully Trainable and Interpretable Non-local Sparse Models for Image Restoration
* Fundamental Limits Of Steganographic Capacity For Multivariate-Quantized-Gaussian-Distributed Multimedia
* Funnel Activation for Visual Recognition
* Further comments on SFVCC: Chaotic map-based security framework for vehicular cloud computing
* Fused Geometry Augmented Images For Analyzing Textured Mesh
* Fusion of iris and sclera using phase intensive rubbersheet mutual exclusion for periocular recognition
* Fusion of public DEMs based on sparse representation and adaptive regularization variation model
* Fusion of Saliency Map and Deep Feature-Based Correlation Filter for Enhancing Tracking Performances
* Fusion of Sparse Model Based on Randomly Erased Image for SAR Occluded Target Recognition
* Fusion Target Attention Mask Generation Network For Video Segmentation
* Fuzzy clustering-based image segmentation techniques used to segment magnetic resonance imaging/computed tomography scan brain tissues: Comparative analysis
* Fuzzy Logic Classifier and Conditional Responses Algorithm for Gestural Input Game
* Gabor Layers Enhance Network Robustness
* Gait Lateral Network: Learning Discriminative and Compact Representations for Gait Recognition
* Gait Recognition from a Single Image Using a Phase-aware Gait Cycle Reconstruction Network
* GAIT: Gradient Adjusted Unsupervised Image-To-Image Translation
* GAN Based Multi-Contrast Modalities Medical Image Registration Approach, A
* GAN Slimming: All-in-one GAN Compression by a Unified Optimization Framework
* Ganhopper: Multi-hop GAN for Unsupervised Image-to-image Translation
* Ganwriting: Content-conditioned Generation of Styled Handwritten Word Images
* Gap-Free Monitoring of Annual Mangrove Forest Dynamics in Ca Mau Province, Vietnamese Mekong Delta, Using the Landsat-7-8 Archives and Post-Classification Temporal Optimization
* GAPNet: Generic-Attribute-Pose Network For Fine-Grained Visual Categorization Using Multi-Attribute Attention Module
* Garlic and Winter Wheat Identification Based on Active and Passive Satellite Imagery and the Google Earth Engine in Northern China
* GATCluster: Self-supervised Guassian-attention Network for Image Clustering
* Gated Recurrent Units (GRU)-Based Model for Early Detection of Soybean Sudden Death Syndrome through Time-Series Satellite Imagery, A
* GDUMB: A Simple Approach that Questions Our Progress in Continual Learning
* Gelato: Generative Latent Textured Objects
* GEN-Lanenet: A Generalized and Scalable Approach for 3d Lane Detection
* Gender Recognition on RGB-D Image
* Generalizable deep features for ocular biometrics
* Generalization of Otsu's Method and Minimum Error Thresholding, A
* Generalized Critic Policy Optimization: A Model For Combining Advantage Estimates In Actor Critic Methods
* Generalized Fast Iteratively Reweighted Soft-Thresholding Algorithm for Sparse Coding Under Tight Frames in the Complex-Domain
* Generalizing Person Re-identification by Camera-aware Invariance Learning and Cross-Domain Mixup
* Generate to Adapt: Resolution Adaption Network for Surveillance Face Recognition
* Generation of Viewed Image Captions From Human Brain Activity Via Unsupervised Text Latent Space
* Generative Adversarial Network For Medical Image Fusion, A
* Generative Adversarial Network Using Weighted Loss Map and Regional Fusion Training for LDR-to-HDR Image Conversion
* Generative Self-Ensemble Approach To Simulated+Unsupervised Learning, A
* Generative Sparse Detection Networks for 3d Single-shot Object Detection
* Generative View-correlation Adaptation for Semi-supervised Multi-view Learning
* Generic distributed polymorphic learning model for a community of heterogeneous cyber physical social robots in MAS Environment and GPU Architecture
* generic framework for improving the geopositioning accuracy of multi-source optical and SAR imagery, A
* Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS, A
* Generic Visualization Approach for Convolutional Neural Networks, A
* GEO-GEO Stereo-Tracking of Atmospheric Motion Vectors (AMVs) from the Geostationary Ring
* Geodetic SAR for Height System Unification and Sea Level Research: Observation Concept and Preliminary Results in the Baltic Sea
* Geograph: Graph-based Multi-view Object Detection with Geometric Cues End-to-end
* Geographic Distribution of Desert Locusts in Africa, Asia and Europe Using Multiple Sources of Remote-Sensing Data
* Geomatics and EO Data to Support Wildlife Diseases Assessment at Landscape Level: A Pilot Experience to Map Infectious Keratoconjunctivitis in Chamois and Phenological Trends in Aosta Valley (NW Italy)
* Geometric Estimation via Robust Subspace Recovery
* Geometry consistency aware confidence evaluation for feature matching
* Geometry Constrained Weakly Supervised Object Localization
* Geostatistical Analysis and Mitigation of the Atmospheric Phase Screens in Ku-Band Terrestrial Radar Interferometric Observations of an Alpine Glacier
* Ghost Removal via Channel Attention in Exposure Fusion
* GiNet: Graph Interaction Network for Scene Parsing
* GIQA: Generated Image Quality Assessment
* Glacier Ice Thickness Estimation and Future Lake Formation in Swiss Southwestern Alps: The Upper Rhône Catchment: A VOLTA Application
* Glaucoma Detection From Raw Circumpapillary OCT Images Using Fully Convolutional Neural Networks
* Gleason Grading of Histology Prostate Images Through Semantic Segmentation via Residual U-Net
* Global and Local Enhancement Networks for Paired and Unpaired Image Enhancement
* Global comparison of diverse scaling factors and regression models for downscaling Landsat-8 thermal data
* Global Distance-distributions Separation for Unsupervised Person Re-identification
* Global-and-local Relative Position Embedding for Unsupervised Video Summarization
* Global-Feature Encoding U-Net (GEU-Net) for Multi-Focus Image Fusion
* Global-Scale Patterns and Trends in Tropospheric NO2 Concentrations, 2005-2018
* Globally Optimal and Efficient Vanishing Point Estimation in Atlanta World
* Globally Spatial-Temporal Perception: a Long-Term Tracking System
* Globally-optimal Event Camera Motion Estimation
* Gmnet: Graph Matching Network for Large Scale Part Semantic Segmentation in the Wild
* GNSS-TS-NRS: An Open-Source MATLAB-Based GNSS Time Series Noise Reduction Software
* Goal driven network pruning for object recognition
* Going Deeper With Neural Networks Without Skip Connections
* Good, The Bad, and The Ugly: Neural Networks Straight From JPEG, The
* Google Earth Engine Mangrove Mapping Methodology (GEEMMM), The
* GPU Accelerated Polar Fourier Analysis For Feature Extraction
* Grab: A Dataset of Whole-body Human Grasping of Objects
* Gradient Centralization: A New Optimization Technique for Deep Neural Networks
* Gradient Deconfliction-Based Training For Multi-Exit Architectures
* Gradient of Error Probability of M-ary Hypothesis Testing Problems Under Multivariate Gaussian Noise
* Gradients as a Measure of Uncertainty in Neural Networks
* Gradual Chroma Reduction and High-Level Visual Masking in Videos
* Graph Convolutional Networks for Learning with Few Clean and Many Noisy Labels
* Graph Edit Distance Reward: Learning to Edit Scene Graph
* Graph Matching Applied For Textured Pattern Recognition
* Graph Pattern Loss Based Diversified Attention Network For Cross-Modal Retrieval
* Graph Regularized Deep Discrete Hashing for Multi-Label Image Retrieval
* Graph Wasserstein Correlation Analysis for Movie Retrieval
* Graph-based Social Relation Reasoning
* Graph-pcnn: Two Stage Human Pose Estimation with Graph Pose Refinement
* Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks
* Gravitational Laws of Focus of Attention
* Green Vegetation Cover Dynamics in a Heterogeneous Grassland: Spectral Unmixing of Landsat Time Series from 1999 to 2014
* Grnet: Gridding Residual Network for Dense Point Cloud Completion
* Gross: Group-size Series Decomposition for Grouped Architecture Search
* Ground Deformation of Wuhan, China, Revealed by Multi-Temporal InSAR Analysis
* Grounded Situation Recognition
* Group Activity Prediction with Sequential Relational Anticipation Model
* Group Loss for Deep Metric Learning, The
* Grouped Temporal Enhancement Module for Human Action Recognition
* Growth Stage Classification and Harvest Scheduling of Snap Bean Using Hyperspectral Sensing: A Greenhouse Study
* GSANet: Semantic Segmentation With Global And Selective Attention
* GSIR: Generalizable 3d Shape Interpretation and Reconstruction
* Gsnet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision
* Guidance and Evaluation: Semantic-aware Image Inpainting for Mixed Scenes
* Guided Attention Inference Network
* Guided CNN Restoration with Explicitly Signaled Linear Combination
* Guided Collaborative Training for Pixel-Wise Semi-Supervised Learning
* Guided Deep Decoder: Unsupervised Image Pair Fusion
* Guided Saliency Feature Learning for Person Re-identification in Crowded Scenes
* Guided Semantic Flow
* Guided Sparse Feature Matching Via Coarsely Defined Dense Matches
* Guiding Monocular Depth Estimation Using Depth-attention Volume
* Hallucinating Visual Instances in Total Absentia
* Halo: Hardware-aware Learning to Optimize
* Hamiltonian Dynamics for Real-world Shape Interpolation
* Hand-transformer: Non-autoregressive Structured Modeling for 3d Hand Pose Estimation
* Handcrafted Outlier Detection Revisited
* Handling Missing Data in Large-Scale MODIS AOD Products Using a Two-Step Model
* Handloom Design Generation Using Generative Networks
* Hard Negative Examples are Hard, but Useful
* Hard-Net: Hardness-aware Discrimination Network for 3d Early Activity Prediction
* Hardgan: A Haze-aware Representation Distillation Gan for Single Image Dehazing
* HDR Image Saliency Estimation By Convex Optimization
* HDR Imaging From Quantization Noise
* HDR Tomography VIA Modulo Radon Transform
* Headway Control in Bus Transit Corridors Served by Multiple Lines
* Heart Rate Detection From Facial Videos Using A Frequencyconstrained Multilayer Sparse Coding
* HED-ID: An Affective Adaptation Model Explaining the Intensity-Duration Relationship of Emotion
* Hessian Penalty: A Weak Prior for Unsupervised Disentanglement, The
* HGNet: Hybrid Generative Network for Zero-shot Domain Adaptation
* Hidden Markov Modelling And Recognition Of Euler-Based Motion Patterns For Automatically Detecting Risks Factors From The European Assembly Worksheet
* Hier R-CNN: Instance-Level Human Parts Detection and A New Benchmark
* Hierarchical and Interactive Refinement Network for Edge-Preserving Salient Object Detection
* Hierarchical Context Embedding for Region-based Object Detection
* Hierarchical Context Features Embedding for Object Detection
* Hierarchical Dynamic Filtering Network for RGB-D Salient Object Detection
* Hierarchical Fourier Disparity Layer Transmission For Light Field Streaming
* Hierarchical Kinematic Human Mesh Recovery
* Hierarchical Model For Long-Length Video Summarization With Adversarially Enhanced Audio/Visual Features
* Hierarchical Nonlocal Residual Networks for Image Quality Assessment of Pediatric Diffusion MRI With Limited and Noisy Annotations
* Hierarchical Paired Channel Fusion Network for Street Scene Change Detection
* Hierarchical RANSAC-Based Rotation Averaging
* Hierarchical Style-based Networks for Motion Synthesis
* Hierarchical Visual-textual Graph for Temporal Activity Localization via Language
* HierarchyNet: Hierarchical CNN-Based Urban Building Classification
* HIFUNet: Multi-Class Segmentation of Uterine Regions From MR Images Using Global Convolutional Networks for HIFU Surgery Planning
* High Efficiency Live Video Streaming With Frame Dropping
* High Performance Visual Tracking With Siamese Actor-Critic Network
* High Resolution 3-D Imaging of Mesospheric Sodium (Na) Layer Utilizing a Novel Multilayer ICCD Imager and a Na Lidar
* High Resolution Demoire Network
* High Resolution Zero-shot Domain Adaptation of Synthetically Rendered Face Images
* High-fidelity Synthesis with Disentangled Representation
* High-Level Visual Masking of Image Compression Artefacts
* High-Quality UAV-Based Orthophotos for Cadastral Mapping: Guidance for Optimal Flight Configurations
* High-resolution Image Inpainting with Iterative Confidence Feedback and Guided Upsampling
* High-Resolution Remote Sensing Image Scene Classification via Key Filter Bank Based on Convolutional Neural Network
* High-Resolution Soybean Yield Mapping Across the US Midwest Using Subfield Harvester Data
* High-Throughput Phenotyping of Soybean Maturity Using Time Series UAV Imagery and Convolutional Neural Networks
* Highly Efficient Salient Object Detection with 100k Parameters
* Histogram Specification-Based Image Enhancement for Backlit Image
* History Repeats Itself: Human Motion Prediction via Motion Attention
* HMQ: Hardware Friendly Mixed Precision Quantization Block for CNNs
* HoloLens Augmented Reality System Provides Valid Measures of Gait Performance in Healthy Adults, The
* Houghencoder: Neural Network Architecture for Document Image Semantic Segmentation
* Houghnet: Integrating Near and Long-range Evidence for Bottom-up Object Detection
* House-gan: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation
* How Can I See My Future? FvTraj: Using First-person View for Pedestrian Trajectory Prediction
* How Incompletely Segmented Information Affects Multi-Object Tracking and Segmentation (MOTS)
* HRINET: Alternative Supervision Network For High-Resolution CT Image Interpolation
* Hrnet: Hamiltonian Rescaling Network for Image Downscaling
* Html: A Parametric Hand Texture Model for 3d Hand Reconstruction and Personalization
* Human Body Model Fitting by Learned Gradient Descent
* Human Correspondence Consensus for 3d Object Semantic Understanding
* Human Detection In Dense Scene Of Classrooms
* Human Factor: A Key Element in A Fire Safety System Of Hydrocarbon Storage Tank
* Human Interaction Learning on 3d Skeleton Point Clouds for Video Violence Recognition
* Human Motion Generation by Stochastic Conditioning of Deep Recurrent Networks On Pose Manifolds
* Hybrid Attention-Aware Fusion Network (HAFNet) for Building Extraction from High-Resolution Imagery and LiDAR Data, A
* hybrid Deep Learning Strategy for an Anomaly Based N-IDS, A
* Hybrid Deep Reinforced Regression Framework for Cardio-Thoracic Ratio Measurement
* Hybrid features and optimization-driven recurrent neural network for glaucoma detection
* Hybrid Learning-Based And HEVC-Based Coding Of Light Fields
* Hybrid Spatio-Temporal Prediction Model for Solar Photovoltaic Generation Using Numerical Weather Data and Satellite Images, A
* Hydrological Model Calibration with Streamflow and Remote Sensing Based Evapotranspiration Data in a Data Poor Basin
* Hypergraph convolution and hypergraph attention
* Hypergraph-Based Image Processing
* Hyperspectral and Multispectral Image Fusion via Nonlocal Low-Rank Tensor Decomposition and Spectral Unmixing
* Hyperspectral Pansharpening Using Deep Prior and Dual Attention Residual Network
* Hyperspectral Unmixing Via Plug-And-Play Priors
* I2l-meshnet: Image-to-lixel Prediction Network for Accurate 3d Human Pose and Mesh Estimation from a Single Rgb Image
* iCaps: An Interpretable Classifier via Disentangled Capsule Networks
* Ice Monitoring in Swiss Lakes from Optical Satellites and Webcams Using Machine Learning
* Identification before-after Forest Fire and Prediction of Mangrove Forest Based on Markov-Cellular Automata in Part of Sembilang National Park, Banyuasin, South Sumatra, Indonesia
* Identification of Cotton Root Rot by Multifeature Selection from Sentinel-2 Images Using Random Forest
* Identification of Electromagnetic Pre-Earthquake Perturbations from the DEMETER Data by Machine Learning
* Identification of Mung Bean in a Smallholder Farming Setting of Coastal South Asia Using Manned Aircraft Photography and Sentinel-2 Images
* Identifying and mapping individual plants in a highly diverse high-elevation ecosystem using UAV imagery and deep learning
* Identifying Children with Autism Spectrum Disorder Based on Gaze-Following
* Identity-Aware Multi-Sentence Video Description
* Identity-Invariant Facial Landmark Frontalization For Facial Expression Analysis
* IENet: Internal and External Patch Matching ConvNet for Web Image Guided Denoising
* Illuminating Vehicles With Motion Priors For Surveillance Vehicle Detection
* Illumination Adaptive Person REID Based on Teacher-Student Model and Adversarial Training
* Illumination-Adaptive Person Re-Identification
* Image analysis by fast improved radial harmonic-Fourier moments algorithm
* Image Classification in the Dark Using Quanta Image Sensors
* Image Completion And Extrapolation With Contextual Cycle Consistency
* Image Compression with Laplacian Guided Scale Space Inpainting
* Image De-Raining Using a Conditional Generative Adversarial Network
* Image Defogging Quality Assessment: Real-World Database and Method
* Image Dehazing With Contextualized Attentive U-NET
* Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices, An
* Image Inpainting Using Parallel Network
* Image Normalization and Weighted Classification Using an Efficient Approach for SVM Classifiers
* Image Projection Network: 3D to 2D Image Segmentation in OCTA Images
* Image Reconstruction for Mirrored Aperture Synthesis Radiometers
* Image Retrieval With Lingual And Visual Paraphrasing Via Generative Models
* Image Stitching and Rectification for Hand-held Cameras
* Image Tiling For Clustering To Improve Stability Of Constant-Time Color Bilateral Filtering
* Image-based Method to Predict Surface Enhanced Raman Spectroscopy Sensor Quality, An
* Image-Based Table Recognition: Data, Model, and Evaluation
* Image-to-voxel Model Translation for 3d Scene Reconstruction and Segmentation
* Imbalanced Continual Learning with Partitioning Reservoir Sampling
* Impact of Molecular Spectroscopy on Carbon Monoxide Abundances from TROPOMI
* Impacts of bus stop location and berth number on urban network traffic performance
* Implementation of Artificial Intelligence Based Ensemble Models for Gully Erosion Susceptibility Assessment
* Implicit Dual-Domain Convolutional Network for Robust Color Image Compression Artifact Reduction
* Implicit Latent Variable Model for Scene-consistent Motion Forecasting
* Implicit Saliency In Deep Neural Networks
* Importance Of Skip Connections In Encoder-Decoder Architectures For Colorectal Polyp Detection, The
* Important Scene Detection Of Baseball Videos Via Time-Lag Aware Deep Multiset Canonical Correlation Maximization
* Improved Adversarial Training via Learned Optimizer
* Improved Approach for Downscaling Coarse-Resolution Thermal Data by Minimizing the Spatial Averaging Biases in Random Forest, An
* Improved automated detection of glaucoma by correlating fundus and SD-OCT image analysis
* improved block based joint reversible data hiding in encrypted images by symmetric cryptosystem, An
* Improved detection method for traffic signs in real scenes applied in intelligent and connected vehicles
* Improved Estimates of Arctic Land Surface Phenology Using Sentinel-2 Time Series
* Improved Intra Coding Beyond AV1 Using Adaptive Prediction Angles and Reference Lines
* Improved JPEG Phase-Aware Steganalysis Features Using Multiple Filter Sizes and Difference Images
* Improved Low-Count Quantitative PET Reconstruction With an Iterative Neural Network
* Improved Mapping of Potentially Toxic Elements in Soil via Integration of Multiple Data Sources and Various Geostatistical Methods
* Improved Multi-Satellite Method for Evaluating Real-Time BDS Satellite Clock Offset Products, An
* Improved Multiple-Image-Based Reflection Removal Algorithm Using Deep Neural Networks
* improved nonlocal maximum likelihood estimation method for denoising magnetic resonance images with spatially varying noise levels, An
* Improved Ultra-Rapid UT1-UTC Determination and Its Preliminary Impact on GNSS Satellite Ultra-Rapid Orbit Determination
* Improvement in Satellite Image-Based Land Cover Classification with Landscape Metrics
* Improving 3D Brain Tumor Segmentation With Predict-Refine Mechanism Using Saliency And Feature Maps
* Improving 3D Object Detection Through Progressive Population Based Augmentation
* Improving Adversarial Robustness by Enforcing Local and Global Compactness
* Improving Deep Video Compression by Resolution-adaptive Flow Coding
* Improving Detection And Recognition Of Degraded Faces By Discriminative Feature Restoration Using GAN
* Improving K-Nearest Neighbor Approaches for Density-Based Pixel Clustering in Hyperspectral Remote Sensing Images
* Improving Knowledge Distillation via Category Structure
* Improving Local Climate Zone Classification Using Incomplete Building Data and Sentinel 2 Images Based on Convolutional Neural Networks
* Improving Monocular Depth Estimation by Leveraging Structural Awareness and Complementary Datasets
* Improving One-Stage Visual Grounding by Recursive Sub-query Construction
* Improving Optical Flow on a Pyramid Level
* Improving Person Re-Identification With Iterative Impression Aggregation
* Improving Psnr-Based Quality Metrics Performance For Point Cloud Geometry
* Improving Query Efficiency of Black-box Adversarial Attack
* Improving Robustness Using Joint Attention Network for Detecting Retinal Degeneration From Optical Coherence Tomography Images
* Improving Semantic Segmentation via Decoupled Body and Edge Supervision
* Improving Soil Thickness Estimations Based on Multiple Environmental Variables with Stacking Ensemble Methods
* Improving Stage-Discharge Relation in The Mekong River Estuary by Remotely Sensed Long-Period Ocean Tides
* Improving the Retrieval of Carbon-Based Phytoplankton Biomass from Satellite Ocean Colour Observations
* Improving the Transferability of Adversarial Examples with Resized-diverse-inputs, Diversity-ensemble and Region Fitting
* Improving Vision-and-language Navigation with Image-text Pairs from the Web
* Impulse noise reduction using hybrid neuro-fuzzy filter with improved firefly algorithm from X-ray bio-images
* In-Domain GAN Inversion for Real Image Editing
* In-home Daily-life Captioning Using Radio Signals
* Inclusive GAN: Improving Data and Minority Coverage in Generative Models
* Incorporating Handcrafted Features into Deep Learning for Point Cloud Classification
* Incorporating Reinforced Adversarial Learning in Autoregressive Image Generation
* Increasing the Robustness of Semantic Segmentation Models with Painting-by-numbers
* Incremental Fast Subclass Discriminant Analysis
* Incremental Few-shot Meta-learning via Indirect Discriminant Alignment
* Indirect Local Attacks for Context-aware Semantic Segmentation Networks
* Indirect Measurement of Forest Canopy Temperature by Handheld Thermal Infrared Imager through Upward Observation
* Individual Palm Tree Detection Using Deep Learning on RGB Imagery to Support Tree Inventory
* Individual Tree Attribute Estimation and Uniformity Assessment in Fast-Growing Eucalyptus spp. Forest Plantations Using Lidar and Linear Mixed-Effects Models
* Indoor Point Cloud Segmentation Using Iterative Gaussian Mapping and Improved Model Fitting
* Induced guided acoustic waves by the presence of a defective guide in one dimensional asymmetric loop phononic crystal
* Inducing Optimal Attribute Representations for Conditional GANs
* Inequality-constrained and Robust 3d Face Model Fitting
* Inertial Safety from Structured Light
* Infer the Input to the Generator of Auxiliary Classifier Generative Adversarial Networks
* Inference Algorithm for Multi-label MRF-MAP Problems with Clique Size 100, An
* Inference Graphs for CNN Interpretation
* InflateSAR Campaign: Evaluating SAR Identification Capabilities of Distressed Refugee Boats, The
* Influence of DEM Elaboration Methods on the USLE Model Topographical Factor Parameter on Steep Slopes
* Influence of LiDAR Point Cloud Density in the Geometric Characterization of Rooftops for Solar Photovoltaic Studies in Cities
* Influence of Urban Scale and Urban Expansion on the Urban Heat Island Effect in Metropolitan Areas: Case Study of Beijing-Tianjin-Hebei Urban Agglomeration
* Infofocus: 3d Object Detection for Autonomous Driving with Dynamic Information Modeling
* Infoprint: Information Theoretic Digital Image Forensics
* Information Hiding In Image Enhancement
* Informative Sample Mining Network for Multi-domain Image-to-image Translation
* Infrared Target Detection Using Intensity Saliency And Self-Attention
* Infrared-Visible Person Re-Identification Via Cross-Modality Batch Normalized Identity Embedding And Mutual Learning
* Ink Flow Patterns In Multi Color Inkjet Images And Their Impact On Graininess Noise
* Input Dropout for Spatially Aligned Modalities
* Instance Adaptive Self-training for Unsupervised Domain Adaptation
* Integrated GNSS/IMU-Gyrocompass with Rotating IMU. Development and Test Results
* Integrated Methodology for Urban Flood Risk Mapping at the Microscale in Ungauged Regions: A Case Study of Hurghada, Egypt
* Integrating spectral variability and spatial distribution for object-based image analysis using curve matching approaches
* Integration of InSAR Time-Series Data and GIS to Assess Land Subsidence along Subway Lines in the Seoul Metropolitan Area, South Korea
* Integration of Remote Sensing and Field Surveys to Detect Ecologically Damaged Areas for Restoration in South Korea, The
* Intelligent detection of building cracks based on deep learning
* Intelligent Hazard-Risk Prediction Model for Train Control Systems
* Intelligent querying for target tracking in camera networks using deep Q-learning with n-step bootstrapping
* Intensity Enhancement Via GAN for Multimodal Facial Expression Recognition
* Intention Recognition of Pedestrians and Cyclists by 2D Pose Estimation
* Inter-image Communication for Weakly Supervised Localization
* Interactive Annotation of 3d Object Geometry Using 2d Scribbles
* Interactive Multi-dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration
* Interactive Separation Network For Image Inpainting
* Interactive Trajectory Prediction of Surrounding Road Users for Autonomous Driving Using Structural-LSTM Network
* Interactive Video Object Segmentation Using Global and Local Transfer Modules
* Intercomparison of Data-Driven and Learning-Based Interpolations of Along-Track Nadir and Wide-Swath SWOT Altimetry Observations
* Intercomparison of the SNPP and NOAA-20 VIIRS DNB High-Gain Stage Using Observations of Bright Stars
* Interhand2.6m: A Dataset and Baseline for 3d Interacting Hand Pose Estimation from a Single RGB Image
* Interpretable and Generalizable Person Re-identification with Query-adaptive Convolution and Temporal Lifting
* Interpretable Foreground Object Search as Knowledge Distillation
* Interpretable Neural Network Decoupling
* Interpretable Synthetic Reduced Nearest Neighbor: An Expectation Maximization Approach
* Interpretable Visual Reasoning via Probabilistic Formulation Under Natural Supervision
* Interpreting CNN For Low Complexity Learned Sub-Pixel Motion Compensation In Video Coding
* Intra-class Feature Variation Distillation for Semantic Segmentation
* Intra-Clip Aggregation For Video Person Re-Identification
* Intrinsic Point Cloud Interpolation via Dual Latent Space Navigation
* Introduction to the Special Section on Deep Learning in Video Enhancement and Evaluation: The New Frontier
* Intuitionistic fuzzy approach for enhancement of low contrast mammogram images
* Inverse Mapping Table Method for Raindrop Size Distribution Parameters Retrieval Using X-band Dual-Polarization Radar Observations, An
* Invertible Image Rescaling
* Invertible Neural BRDF for Object Inverse Rendering
* Investigating the Error Propagation from Satellite-Based Input Precipitation to Output Water Quality Indicators Simulated by a Hydrologic Model
* Investigation of Partition-Based and Phonetically-Aware Acoustic Features for Continuous Emotion Prediction from Speech, An
* Investigation of Precursors in VLF Subionospheric Signals Related to Strong Earthquakes (M > 7) in Western China and Possible Explanations
* IOU: Siamtrack: IOU Guided Siamese Network For Visual Object Tracking
* ipA-MedGAN: Inpainting of Arbitrary Regions in Medical Imaging
* Irrigation and Precipitation Hydrological Consistency with SMOS, SMAP, ESA-CCI, Copernicus SSM1km, and AMSR-2 Remotely Sensed Soil Moisture Products
* Irrigation Control through Acoustic Proximal Sensing of the Onset of Surface Water
* Is field-measured tree height as reliable as believed: Part II, A comparison study of tree height estimates from conventional field measurement and low-cost close-range remote sensing in a deciduous forest
* Is Sharing of Egocentric Video Giving Away Your Biometric Signature?
* It Is Not the Journey But the Destination: Endpoint Conditioned Trajectory Prediction
* Iterative Augmentation of Visual Evidence for Weakly-Supervised Lesion Localization in Deep Interpretability Frameworks: Application to Color Fundus Images
* Iterative Cauchy Thresholding: Regularisation With A Heavy-Tailed Prior
* Iterative Feature Transformation for Fast and Versatile Universal Style Transfer
* JGR-P2O: Joint Graph Reasoning Based Pixel-to-offset Prediction Network for 3d Hand Pose Estimation from a Single Depth Image
* Jitter-Robust Video Retargeting With Kalman Filter And Attention Saliency Fusion Network
* Joint Amplitude and Phase Refinement for Monaural Source Separation
* Joint Bilateral Learning for Real-time Universal Photorealistic Style Transfer
* Joint Content-Adaptive Dictionary Learning And Sparse Selective Extrapolation For Cross-Spectral Image Reconstruction
* Joint Demosaicking / Rectification Of Fisheye Camera Images Using Multi-Color Graph Laplacian Regularization
* Joint Disentangling and Adaptation for Cross-domain Person Re-identification
* Joint Fleet Sizing and Charging System Planning for Autonomous Electric Vehicles
* Joint Image Super-Resolution Via Recurrent Convolutional Neural Networks With Coupled Sparse Priors
* Joint Learning of Social Groups, Individuals Action and Sub-group Activities in Videos
* Joint Local and Global Information Learning With Single Apex Frame Detection for Micro-Expression Recognition
* Joint patch and instance discrimination learning for unsupervised person re-identification
* Joint Statistical and Spatial Sparse Representation for Robust Image and Image-Set Classification
* Joint-Distribution And Gain Rate Based Saliency Model For Circular Tank Detection In Remote Sensing Images
* Jointly Learning Visual Motion and Confidence from Local Patches in Event Cameras
* Jointly optimizing global and local color consistency for multiple image mosaicking
* Journey Towards Tiny Perceptual Super-Resolution
* JSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point Clouds
* JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-modal Image Alignment of Large-scale Pathological CT Scans
* Jstasr: Joint Size and Transparency-aware Snow Removal Algorithm Based on Modified Partial Convolution and Veiling Effect Removal
* Just Noticeable Difference for Machines to Generate Adversarial Images
* Just Noticeable Distortion Profile Inference: A Patch-Level Structural Visibility Learning Approach
* Just Noticeable Quantization Levels For High Dynamic Range Images
* k-eNSC: k-estimation for Normalized Spectral Clustering
* Kc and LAI Estimations Using Optical and SAR Remote Sensing Imagery for Vineyards Plots
* Kernel Regularization for Image Restoration
* Kernelized Dense Layers For Facial Expression Recognition
* Kernelized Memory Network for Video Object Segmentation
* Key Frame Proposal Network for Efficient Pose Estimation in Videos
* Keypoint-Based Feature Matching For Partial Person Re-Identification
* Kinematic 3d Object Detection in Monocular Video
* Kinship Identification Through Joint Learning Using Kinship Verification Ensembles
* Kinship Verification From Gait?
* Kl-Divergence-Based Region Proposal Network For Object Detection
* Know Your Surroundings: Exploiting Scene Information for Object Tracking
* Knowledge components detection in User-Generated Content
* Knowledge Distillation Inspired Fine-Tuning Of Tucker Decomposed CNNS and Adversarial Robustness Analysis
* Knowledge Distillation Meets Self-Supervision
* Knowledge Transfer via Dense Cross-layer Mutual-distillation
* Knowledge-Guided And Hyper-Attention Aware Joint Network For Benign-Malignant Lung Nodule Classification
* Known Operator Learning Enables Constrained Projection Geometry Conversion: Parallel to Cone-Beam for Hybrid MR/X-Ray Imaging
* KRF-SLAM: A Robust AI SLAM Based On Keypoint Resampling And Fusion
* Label Prediction Framework For Semi-Supervised Cross-Modal Retrieval
* Label Propagation with Augmented Anchors: A Simple Semi-supervised Learning Baseline for Unsupervised Domain Adaptation
* Label-driven Reconstruction for Domain Adaptation in Semantic Segmentation
* Label-efficient Learning on Point Clouds Using Approximate Convex Decompositions
* LabelEnc: A New Intermediate Supervision Method for Object Detection
* Ladder Pyramid Networks For Single Image Super-Resolution
* Ladybird: Quasi-Monte Carlo Sampling for Deep Implicit Field Based 3d Reconstruction with Symmetry
* Land Cover Dynamics and Mangrove Degradation in the Niger Delta Region
* Land Subsidence Susceptibility Mapping in Jakarta Using Functional and Meta-Ensemble Machine Learning Algorithm Based on Time-Series InSAR Data
* Large Batch Optimization for Object Detection: Training Coco in 12 minutes
* Large Scale Holistic Video Understanding
* Large Size 1D Signal Analysis by Hybrid Tchebichef-Charlier Moments
* Large Uncertainty on Forest Area Change in the Early 21st Century among Widely Used Global Land Cover Datasets
* Large-scale Few-shot Learning via Multi-modal Knowledge Discovery
* Latent Embedding Feedback and Discriminative Features for Zero-shot Classification
* Latent Topic-aware Multi-label Classification
* Latticenet: Towards Lightweight Image Super-resolution with Lattice Block
* Lavic Lake Fault: A Long-Term Cumulative Slip Analysis via Combined Field Work and Thermal Infrared Hyperspectral Airborne Remote Sensing, The
* Layer Embedding Analysis in Convolutional Neural Networks for Improved Probability Calibration and Classification
* Layer-wise Conditioning Analysis in Exploring the Learning Dynamics of DNNs
* Layered Neighborhood Expansion for Incremental Multiple Graph Matching
* Learn Distributed GAN with Temporary Discriminators
* Learn to Propagate Reliably on Noisy Affinity Graphs
* Learn to Recover Visible Color for Video Surveillance in a Day
* Learnable Cost Volume Using the Cayley Representation
* Learnable Descriptors for Visual Search
* Learning 3d Part Assembly from a Single Image
* Learning adaptive geometry for unsupervised domain adaptation
* Learning and Aggregating Deep Local Descriptors for Instance-Level Recognition
* Learning Attentive and Hierarchical Representations for 3D Shape Recognition
* Learning Canonical Representations for Scene Graph to Image Generation
* Learning Connectivity of Neural Networks from a Topological Perspective
* Learning Cross-Modal Representations for Language-Based Image Manipulation
* Learning Data Augmentation Strategies for Object Detection
* Learning Discriminative Feature with CRF for Unsupervised Video Object Segmentation
* Learning Discriminative Part Features Through Attentions For Effective And Scalable Person Search
* Learning Discriminative Representation For Facial Expression Recognition From Uncertainties
* Learning Disentangled Feature Representations For Anomaly Detection
* Learning Disentangled Representations via Mutual Information Estimation
* Learning Disentangled Representations with Latent Variation Predictability
* Learning Dual Encoding Model for Adaptive Visual Understanding in Visual Dialogue
* Learning Enhanced Resolution-Wise Features For Human Pose Estimation
* Learning Enriched Features for Real Image Restoration and Enhancement
* Learning Event-driven Video Deblurring and Interpolation
* Learning Feature Descriptors Using Camera Pose Supervision
* Learning Feature Embeddings for Discriminant Model Based Tracking
* Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization
* Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification
* Learning from Scale-invariant Examples for Domain Adaptation in Semantic Segmentation
* Learning Graph-convolutional Representations for Point Cloud Denoising
* Learning Image Aesthetics by Learning Inpainting
* Learning instance-aware object detection using determinantal point processes
* Learning Joint Visual Semantic Matching Embeddings for Language-guided Retrieval
* Learning Lane Graph Representations for Motion Forecasting
* Learning Latent Representations Across Multiple Data Domains Using Lifelong VaeGAN
* Learning Light Field Synthesis with Multi-Plane Images: Scene Encoding as a Recurrent Segmentation Task
* Learning Memory Augmented Cascading Network for Compressed Sensing of Images
* Learning Modality Interaction for Temporal Sentence Localization and Event Captioning in Videos
* Learning Monocular Visual Odometry via Self-supervised Long-term Modeling
* Learning Multi-layer Latent Variable Model via Variational Optimization of Short Run MCMC for Approximate Inference
* Learning Noise-aware Encoder-decoder from Noisy Labels by Alternating Back-propagation for Saliency Detection
* Learning Non-Locally Regularized Compressed Sensing Network With Half-Quadratic Splitting
* Learning Object Depth from Camera Motion and Video Object Segmentation
* Learning Object Placement by Inpainting for Compositional Data Augmentation
* Learning Object Relation Graph and Tentative Policy for Visual Navigation
* Learning Pairwise Inter-plane Relations for Piecewise Planar Reconstruction
* Learning Predictive Models from Observation and Interaction
* Learning Progressive Joint Propagation for Human Motion Prediction
* Learning Propagation Rules for Attribution Map Generation
* Learning representation from multiple media domains for enhanced event discovery
* Learning Semantic Neural Tree for Human Parsing
* Learning Stereo from Single Images
* Learning Structural Similarity of User Interface Layouts Using Graph Networks
* Learning Style Correlation for Elaborate Few-Shot Classification
* Learning to Balance Specificity and Invariance for In and Out of Domain Generalization
* Learning To Blindly Assess Image Quality In The Laboratory And Wild
* Learning to Cluster Under Domain Shift
* Learning to Combine: Knowledge Aggregation for Multi-source Domain Adaptation
* Learning to Compose Hypercolumns for Visual Correspondence
* Learning to Count in the Crowd from Limited Labeled Data
* Learning to Detect Open Classes for Universal Domain Adaptation
* Learning to Factorize and Relight a City
* Learning to Learn with Variational Information Bottleneck for Domain Generalization
* Learning to Model and Calibrate Optics Via a Differentiable Wave Optics Simulator
* Learning to Optimize Domain Specific Normalization for Domain Generalization
* Learning to Predict Context-adaptive Convolution for Semantic Segmentation
* Learning to Predict Salient Faces: A Novel Visual-Audio Saliency Model
* Learning to Scale Multilingual Representations for Vision-Language Tasks
* Learning to Transfer Learn: Reinforcement Learning-based Selection for Adaptive Transfer Learning
* Learning Visual Commonsense for Robust Scene Graph Generation
* Learning Visual Context by Comparison
* Learning Visual Representations with Caption Annotations
* Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision
* Learning What to Learn for Video Object Segmentation
* Learning with Noisy Class Labels for Instance Segmentation
* Learning-Based Hyperspectral Imagery Compression through Generative Neural Networks
* Least Squares Solution to Regionalize VTEC Estimates for Positioning Applications, A
* Least Squares Surface Reconstruction on Arbitrary Domains
* Legendre Based Adaptive Image Segmentation Combining The Gradient Information
* Legitimate Surveillance via Jamming in Multichannel Relaying System
* Lemma: A Multi-view Dataset for Learning Multi-agent Multi-task Activities
* Length-controllable Image Captioning
* Lensless Imaging with Focusing Sparse Ura Masks in Long-wave Infrared and Its Application for Human Detection
* Levelset R-CNN: A Deep Variational Method for Instance Segmentation
* Leveraging Acoustic Images for Effective Self-supervised Audio Representation Learning
* Leveraging topic feature for followee recommendation on Twitter network
* Lifespan Age Transformation Synthesis
* Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D
* Light Field Stitching Based On Concentric Spherical Modeling
* Lightweight dynamic conditional GAN with pyramid attention for text-to-image synthesis
* Lightweight Image Super-Resolution Reconstruction With Hierarchical Feature-Driven Network
* Lightweight Network Model For Video Frame Interpolation Using Spatial Pyramids, A
* Lightweight Neural Networks From PCA LDA Based Distilled Dense Neural Networks
* Linear Space-Invariant System Identification And Mismatch Bounds For Estimation Of Dynamical Images
* Linguistic Structure Guided Context Modeling for Referring Image Segmentation
* Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity: Part II: Geomorphology, Terrain and Surfaces
* LiteFlownet3: Resolving Correspondence Ambiguity for More Accurate Optical Flow Estimation
* Literature Review on Driver's Drowsiness and Fatigue Detection
* LMI approach to Robust Fuzzy H8 Control for Wind Generator System in Finite Frequency Domain
* LMI-Based Synthesis of String-Stable Controller for Cooperative Adaptive Cruise Control
* Local Deformable 3D Reconstruction with Cartan's Connections
* Local Geometry Analysis For Image Tampering Detection
* Local Low Rank Approximation With a Parametric Disparity Model for Light Field Compression
* Local Ontologies Merging in Data Ponds
* Local-Mean Preserving Post-Processing Step for Non-Negativity Enforcement in PET Imaging: Application to 90Y-PET
* Localization of eye Saccadic signatures in Electrooculograms using sparse representations with data driven dictionaries
* Localizing Firearm Carriers By Identifying Human-Object Pairs
* Localizing the Common Action Among a Few Videos
* Long-Range Automatic Detection, Acoustic Signature Characterization and Bearing-Time Estimation of Multiple Ships with Coherent Hydrophone Array
* Long-Term Background Redundancy Reduction for Earth Observatory Video Coding
* Long-term Human Motion Prediction with Scene Context
* Long-Term Variation of Black Carbon Absorption Aerosol Optical Depth from AERONET Data over East Asia
* LOOC: Localize Overlapping Objects with Count Supervision
* Look Here! A Parametric Learning Based Approach to Redirect Visual Attention
* Look Ma, No Landmarks!: Unsupervised, Model-based Dense Face Alignment
* Look! It's Moving! Is It Alive? How Movement Affects Humans' Affinity Living and Non-Living Entities
* Loss Rescaling by Uncertainty Inference For Single-Stage Object Detection
* Lossless Compression For Volumetric Medical Images Using Deep Neural Network With Local Sampling
* Lossless Video Coding Based On Probability Model Optimization Utilizing Example Search And Adaptive Prediction
* Lossy Point Cloud Geometry Compression Via Dyadic Decomposition
* Low Complexity System for Multiple Data Embedding Into H.264 Coded Video Bit-Stream, A
* Low Light Image Enhancement by Multispectral Fusion of RGB and NIR Images
* Low Light Video Enhancement Using Synthetic Data Produced with an Intermediate Domain Mapping
* Low rank and collaborative representation for hyperspectral anomaly detection via robust dictionary construction
* Low-Light Image Enhancement With Semi-Decoupled Decomposition
* Low-Rank Preserving t-Linear Projection for Robust Image Feature Extraction
* Low-Rank Subspace Representation from Optimal Coded-Aperture for Unsupervised Classification of Hypersepctral Imagery
* LOW: Training deep neural networks by learning optimal sample weights
* Lownet: Privacy Preserved Ultra-Low Resolution Posture Image Classification
* Lsragan: Generating Multifarious Color Photographes From Sketch
* Lst-net: Learning a Convolutional Neural Network with a Learnable Sparse Transform
* M-Sosanet: An Efficient Convolution Network Backbone For Embedding Devices
* Mabnet: A Lightweight Stereo Network Based on Multibranch Adjustable Bottleneck Module
* Machine Learning Based Symbol Probability Distribution Prediction For Entropy Coding In AV1
* Machine Learning-Aided Sea Ice Monitoring Using Feature Sequences Extracted from Spaceborne GNSS-Reflectometry Data
* Making Affine Correspondences Work in Camera Geometry Computation
* Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors
* Making Sense of CNNs: Interpreting Deep Representations and Their Invariances with INNs
* Malleable 2.5d Convolution: Learning Receptive Fields Along the Depth-axis for RGB-D Scene Parsing
* Mammographic mass segmentation using multichannel and multiscale fully convolutional networks
* Manhole Cover Detection on Rasterized Mobile Mapping Point Cloud Data Using Transfer Learned Fully Convolutional Neural Networks
* Manifold Optimization for Joint Design of MIMO-STAP Radars
* Many-shot from Low-shot: Learning to Annotate Using Mixed Supervision for Object Detection
* Mapillary Planet-Scale Depth Dataset
* Mapillary Traffic Sign Dataset for Detection and Classification on a Global Scale, The
* Mapping Burned Areas of Mato Grosso State Brazilian Amazon Using Multisensor Datasets
* Mapping Canopy Chlorophyll Content in a Temperate Forest Using Airborne Hyperspectral Data
* Mapping Forest Fire Risk: A Case Study in Galicia (Spain)
* Mapping forest tree species in high resolution UAV-based RGB-imagery by means of convolutional neural networks
* Mapping in a Cycle: Sinkhorn Regularized Unsupervised Learning for Point Cloud Shapes
* Mapping National-Scale Croplands in Pakistan by Combining Dynamic Time Warping Algorithm and Density-Based Spatial Clustering of Applications with Noise
* Mapping of Diffuse Attenuation Coefficient in Optically Complex Waters of Amazon Floodplain Lakes
* Mapping plastic materials in an urban area: Development of the normalized difference plastic index using WorldView-3 superspectral data
* Mapping Species at an Individual-Tree Scale in a Temperate Forest, Using Sentinel-2 Images, Airborne Laser Scanning Data, and Random Forest Classification
* Mapping the Population Density in Mainland China using NPP/VIIRS and Points-Of-Interest Data Based on a Random Forests Model
* Margin-mix: Semi-supervised Learning for Face Expression Recognition
* Marker controlled watershed transform for intra-retinal cysts segmentation from optical coherence tomography B-scans
* Markovian Segmentation of Textured Color Images
* Mask Textspotter v3: Segmentation Proposal Network for Robust Scene Text Spotting
* Maskpan: Mask Prior Guided Network For Pansharpening
* Matching Guided Distillation
* Mathematical Extension to the General Four-Component Scattering Power Decomposition With Unitary Transformation of Coherency Matrix, A
* Matrix Capsule Convolutional Projection for Deep Feature Learning
* Matrix Classifier On Dynamic Functional Connectivity For Mci Identification
* Matryodshka: Real-time 6dof Video View Synthesis Using Multi-sphere Images
* MDM-PCCT: Multiple Dynamic Modulations for High-Performance Spectral PCCT Imaging
* MDT: Unsupervised Multi-Domain Image-To-Image Translator Based On Generative Adversarial Networks
* Mead: A Large-scale Audio-visual Dataset for Emotional Talking-face Generation
* Measure-Transformed MVDR Beamforming
* Measuring and Monitoring Urban Impacts on Climate Change from Space
* Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3d Hand Pose Estimation Under Hand-object Interaction
* Measuring the Importance of Temporal Features in Video Saliency
* Memory Assessment Of Versatile Video Coding
* Memory Selection Network for Video Propagation
* Mental Retrieval of Remote Sensing Images via Adversarial Sketch-Image Feature Learning
* Merge Mode With Motion Vector Difference
* Meshing Point Clouds with Predicted Intrinsic-extrinsic Ratio Guidance
* MessyTable: Instance Association in Multiple Camera Views
* Met Office Operational Soil Moisture Analysis System, The
* Meta-analysis of Unmanned Aerial Vehicle (UAV) Imagery for Agro-environmental Monitoring Using Machine Learning and Statistical Models
* Meta-learning with Network Pruning
* Meta-RPPG: Remote Heart Rate Estimation Using a Transductive Meta-learner
* Meta-SIM2: Unsupervised Learning of Scene Structure for Synthetic Data Generation
* Metadistiller: Network Self-boosting via Meta-learned Top-down Distillation
* Metastable Dark Current in BRITE Nano-Satellite Image Sensors
* Meteorological OSSEs for New Zenith Total Delay Observations: Impact Assessment for the Hydroterra Geosynchronous Satellite on the October 2019 Genoa Event
* Method for Monitoring and Forecasting the Heading and Flowering Dates of Winter Wheat Combining Satellite-Derived Green-up Dates and Accumulated Temperature, A
* Method of Marine Moving Targets Detection in Multi-Channel ScanSAR System, A
* Methodology for O-D matrix estimation using the revealed paths of floating car data on large-scale networks
* Metric Learning Reality Check, A
* MGPAN: Mask Guided Pixel Aggregation Network
* Microsatellites spot mystery methane leaks
* Microscopy Image Restoration with Deep Wiener-Kolmogorov Filters
* MimicDet: Bridging the Gap Between One-stage and Two-stage Object Detection
* Mini-Net: Multiple Instance Ranking Network for Video Highlight Detection
* Minimal Rolling Shutter Absolute Pose with Unknown Focal Length and Radial Distortion
* Minimum Class Confusion for Versatile Domain Adaptation
* Mining and Restoration Monitoring of Rare Earth Element (REE) Exploitation by New Remote Sensing Indicators in Southern Jiangxi, China
* Mining Cross-image Semantics for Weakly Supervised Semantic Segmentation
* Mining Inter-video Proposal Relations for Video Object Detection
* Mining Self-similarity: Label Super-resolution with Epitomic Representations
* MLRSNet: A multi-label high spatial resolution remote sensing dataset for semantic scene understanding
* Mobile Streaming of Live 360-Degree Videos
* Model Learning Approach For Low Light Image Restoration, A
* Model Parameter Learning for Real-Time High-Resolution Image Enhancement
* Model Selection in Atmospheric Remote Sensing with an Application to Aerosol Retrieval from DSCOVR/EPIC, Part 1: Theory
* Model Selection in Atmospheric Remote Sensing with Application to Aerosol Retrieval from DSCOVR/EPIC. Part 2: Numerical Analysis
* Model Uncertainty for Unsupervised Domain Adaptation
* Model-Agnostic Boundary-Adversarial Sampling for Test-Time Generalization in Few-Shot Learning
* Model-based Occlusion Disentanglement for Image-to-Image Translation
* Modeling 3D Shapes by Reinforcement Learning
* Modeling and simulation of an evolutionary approach based on MAS strategy: for intelligent energy management in EV
* Modeling and Theoretical Analysis of GNSS-R Soil Moisture Retrieval Based on the Random Forest and Support Vector Machine Learning Approach
* Modeling Arterial Traffic Dynamics With Actuated Signal Control Using a Simplified Shockwave Model
* Modeling Shape Dynamics During Cell Motility in Microscopy Videos
* Modeling the Effects of Windshield Refraction for Camera Calibration
* Modeling the Slant Wet Delays From One GPS Receiver as a Series Expansion With Respect to Time and Space: Theory and an Example of Application for the Tahiti Island
* Modelling and simulation of hierarchical scheduling of real-time responsive customised bus
* Modelling the operation of vehicles at signalised intersections with special width approach lane based on field data
* Modified Cartesian Factorized Backprojection Algorithm Integrating with Non-Start-Stop Model for High Resolution SAR Imaging, A
* Modified Decoding Metric Of Distributed Arithmetic Coding
* Modified Fourier-Mellin Approach For Source Device Identification On Stabilized Videos, A
* Modified Geometrical Optical Model of Row Crops Considering Multiple Scattering Frame, A
* Modified Interactive Spectral Smooth Temperature Emissivity Separation Algorithm for Low-Temperature Surface, A
* Modified transform-based gamma correction for MRI tumor image denoising and segmentation by optimized histon-based elephant herding algorithm
* Monitoring Bark Beetle Forest Damage in Central Europe. A Remote Sensing Approach Validated with Field Data
* Monitoring the Spatial and Temporal Variations in The Water Surface and Floating Algal Bloom Areas in Dongting Lake Using a Long-Term MODIS Image Time Series
* Monitoring the spatial distribution and changes in permafrost with passive microwave remote sensing
* Monitoring truck's operations at freight intermodal terminals: traffic observation by scanning on-board devices
* Monitoring Wheat Fusarium Head Blight Using Unmanned Aerial Vehicle Hyperspectral Imagery
* Monitoring Wheat Leaf Rust and Stripe Rust in Winter Wheat Using High-Resolution UAV-Based Red-Green-Blue Imagery
* Monochrome And Color Polarization Demosaicking Using Edge-Aware Residual Interpolation
* Monocular 3d Object Detection via Feature Domain Adaptation
* Monocular Differentiable Rendering for Self-supervised 3D Object Detection
* Monocular Expressive Body Regression Through Body-Driven Attention
* Monocular Real-time Volumetric Performance Capture
* More Classifiers, Less Forgetting: A Generic Multi-classifier Paradigm for Incremental Learning
* More Reliable Orbit Initialization Method for LEO Precise Orbit Determination Using GNSS, A
* Moroccan Dialect Speech Recognition System Based on CMU SphinxTools
* Morphological feature extraction and KNG-CNN classification of CT images for early lung cancer detection
* Mosaicing of Dynamic Mesentery Video with Gradient Blending
* Motion Analysis on Depth Camera Data to Quantify Parkinson's Disease Patients' Motor Status Within the Framework of I-Prognosis Personalized Game Suite
* Motion Blur Prior
* Motion Capture from Internet Videos
* Motion Context Network for Weakly Supervised Object Detection in Videos
* Motion Guided 3d Pose Estimation from Videos
* Motion Rectification Network for Unsupervised Learning of Monocular Depth and Camera Motion
* Motion Representation Using Residual Frames with 3D CNN
* Motion-Excited Sampler: Video Adversarial Attack with Sparked Prior
* Movienet: A Holistic Dataset for Movie Understanding
* Moving Target Detection in Multi-Static GNSS-Based Passive Radar Based on Multi-Bernoulli Filter
* MPCC: Matching Priors and Conditionals for Clustering
* MSR-HARDI: Accelerated Reconstruction of HARDI Data Using Multiple Sparsity Regularizers
* MT-UNET: A Novel U-Net Based Multi-Task Architecture For Visual Scene Understanding
* Mti-net: Multi-scale Task Interaction Networks for Multi-task Learning
* MTRNet++: One-stage mask-based scene text eraser
* MuCAN: Multi-correspondence Aggregation Network for Video Super-resolution
* Mud Volcanism at the Taman Peninsula: Multiscale Analysis of Remote Sensing and Morphometric Data
* Multi angle optimal pattern-based deep learning for automatic facial expression recognition
* Multi Branch Siamese Network For Person Re-Identification
* Multi-agent Embodied Question Answering in Interactive Environments
* Multi-agent simulation of the Moroccan conventional insurance sector
* Multi-camera multiple vehicle tracking in urban intersections based on multilayer graphs
* Multi-Distance Point Cloud Quality Assessment
* Multi-Granularity Mission Negotiation for a Decentralized Remote Sensing Satellite Cluster
* Multi-Image Blind Deblurring Using a Smoothed NUV Prior and Iteratively Reweighted Coordinate Descent
* Multi-Instance Inertial Navigation System for Radar Terrain Imaging
* Multi-Level Correlation Adversarial Hashing for Cross-Modal Retrieval
* Multi-level prediction Siamese network for real-time UAV visual tracking
* Multi-level Wavelet-based Generative Adversarial Network for Perceptual Quality Enhancement of Compressed Video
* Multi-loss Rebalancing Algorithm for Monocular Depth Estimation
* Multi-Modal Fusion With Observation Points For Skeleton Action Recognition
* Multi-modal Transformer for Video Retrieval
* Multi-Mode Intra Prediction for Learning-Based Image Compression
* Multi-objective adaptive differential evolution for SVM/SVR hyperparameters selection
* Multi-Objective Emergency Rescue Facilities Location Model for Catastrophic Interlocking Chemical Accidents in Chemical Parks, A
* Multi-Organ Segmentation Over Partially Labeled Datasets With Multi-Scale Feature Abstraction
* Multi-Person Hierarchical 3D Pose Estimation in Natural Videos
* Multi-scale deep relational reasoning for facial kinship verification
* Multi-Scale Explainable Feature Learning for Pathological Image Analysis Using Convolutional Neural Networks
* Multi-Scale Feature Pyramids for Weakly Supervised Thoracic Disease Localization
* Multi-Scale Features Joint Rain Removal For Single Image
* Multi-Scale Position Feature Transform Network for Video Frame Interpolation, A
* Multi-scale structural kernel representation for object detection
* Multi-Segment Rupture Model of the 2016 Kumamoto Earthquake Revealed by InSAR and GPS Data
* Multi-Source Data Analysis of Mesoscale Eddies and Their Effects on Surface Chlorophyll in the Bay of Bengal
* Multi-source Open-set Deep Adversarial Domain Adaptation
* Multi-Step Quantization Of A Multi-Scale Network For Crowd Counting
* Multi-Task Deep Dual Correlation Filters for Visual Tracking
* Multi-Task Hardwired Accelerator for Face Detection and Alignment, A
* Multi-Temporal InSAR Parallel Processing for Sentinel-1 Large-Scale Surface Deformation Mapping
* Multi-Temporal Predictive Modelling of Sorghum Biomass Using UAV-Based Hyperspectral and LiDAR Data
* Multi-temporal Recurrent Neural Networks for Progressive Non-uniform Single Image Deblurring with Incremental Temporal Training
* Multi-view Action Recognition Using Cross-view Video Prediction
* Multi-view Adaptive Graph Convolutions for Graph Classification
* Multi-View Data Fusion Oriented Clustering via Nuclear Norm Minimization
* Multi-view Optimization of Local Feature Geometry
* Multidisciplinary Analysis of Ground Movements: An Underground Gas Storage Case Study
* Multilevel Interaction Reasoning For Complex Event Recognition
* Multimodal Attention-Mechanism For Temporal Emotion Recognition
* Multimodal Ground-Based Remote Sensing Cloud Classification via Learning Heterogeneous Deep Features
* Multimodal Image-to-Image Translation for Generation of Gastritis Images
* Multimodal Shape Completion via Conditional Generative Adversarial Networks
* Multimodal subspace support vector data description
* Multiobjective Endmember Extraction Based on Bilinear Mixture Model
* Multiobjective Subpixel Mapping With Multiple Shifted Hyperspectral Images
* Multipath Exploitation with Time Reversal Waveform Covariance Matrix for SNR Maximization
* Multiperspective Ultrasound Strain Imaging of the Abdominal Aorta
* Multiple attentional pyramid networks for Chinese herbal recognition
* Multiple Attributes Image Quality Database for Smartphone Camera Photo Quality Assessment, A
* Multiple Class Novelty Detection Under Data Distribution Shift
* Multiple Events Detection In Seismic Structures Using A Novel U-Net Variant
* Multiple Expert Brainstorming for Domain Adaptive Person Re-identification
* Multiple Sound Sources Localization from Coarse to Fine
* Multiscale Convolutional Fusion Network for Non-Lambertian Photometric Stereo
* Multisensor Characterization of the Incandescent Jet Region of Lava Fountain-Fed Tephra Plumes
* Multispectral Fusion for Object Detection with Cyclic Fuse-and-Refine Blocks
* Multispectral Interlaced Sparse Sampling Photoacoustic Tomography
* Multistate Constrained Invariant Kalman Filter For Rolling Shutter Camera and IMU Calibration
* Multistrategy ensemble regression for mapping of built-up density and height with Sentinel-2 data
* Multitask Learning Strengthens Adversarial Robustness
* Multivariate Statistical Modeling of Retinal Optical Coherence Tomography
* Multiview Detection with Feature Perspective Transformation
* Muscle Fatigue Induced Hand Tremor Clustering in Dynamic Laparoscopic Manipulation
* Mutual Information Based Adaptive Windowing of Informative EEG for Emotion Recognition, A
* MutualNet: Adaptive Convnet via Mutual Learning from Network Width and Resolution
* n-reference Transfer Learning for Saliency Prediction
* Naive-Student: Leveraging Semi-supervised Learning in Video Sequences for Urban Scene Segmentation
* NAS-Count: Counting-by-density with Neural Architecture Search
* NASA Neural Articulated Shape Approximation
* NDDR-LCS: A Multi-Task Learning Method for Classification of Carotid Plaques
* Negative Latency Recognition Method for Fine-Grained Gestures Based on Terahertz Radar
* Negative Margin Matters: Understanding Margin in Few-Shot Classification
* Negative Pseudo Labeling Using Class Proportion for Semantic Segmentation in Pathology
* Nerf: Representing Scenes as Neural Radiance Fields for View Synthesis
* Network selection based on Cosine Similarity and Combination of Subjective and Objective Weighting
* Neural Batch Sampling with Reinforcement Learning for Semi-Supervised Anomaly Detection
* Neural Discriminant Analysis For Fine-Grained Classification
* Neural Object Learning for 6d Pose Estimation Using a Few Cluttered Images
* Neural Point-based Graphics
* Neural Re-rendering of Humans from a Single Image
* Neural Wireframe Renderer: Learning Wireframe to Image Translations
* New Approach to Gaussian Signal Smoothing: Application to ECG Components Separation, A
* New Concept of Full Ocean Current Vector Retrieval With Spaceborne SAR Based on Intrapulse Beam-Switching Technique, A
* New Cooperative Insurance Based On Blockchain Technology: Six Simulations To Evaluate The Model., A
* New Design For Color Screen Sets For High-End Digital Color Press
* New Dynamic Stochastic Source Encoding Combined With a Minmax-Concave Total Variation Regularization Strategy for Full Waveform Inversion
* New Embedded Chien Search Block for Reed- Solomon (RS) Codes based on Factorization of Error Locator Polynomial, A
* New Higher-Order Correction of GNSS RO Bending Angles Accounting for Ionospheric Asymmetry: Evaluation of Performance and Added Value
* New insights on multi-solution distribution of the P3P problem
* New Method and Benchmark for Detecting Co-Saliency Within a Single Image, A
* New Method for Automated Clearcut Disturbance Detection in Mediterranean Coppice Forests Using Landsat Time Series, A
* New Method for Estimating Tropospheric Zenith Wet-Component Delay of GNSS Signals from Surface Meteorology Data, A
* New Method for Hail Detection from the GPM Constellation: A Prospect for a Global Hailstorm Climatology, A
* New Satellite-Based Retrieval of Low-Cloud Liquid-Water Path Using Machine Learning and Meteosat SEVIRI Data, A
* New Simple Direct Computation of Cubic Convolution Spline Interpolation, A
* New Threats Against Object Detector with Non-local Block
* New transit signal priority scheme for intersections with nearby bus rapid transit median stations
* new weighted fuzzy c-means based on the collective behaviour of starling birds, A
* Newton-Krylov Methods For Polychromatic X-Ray CT
* Nitrogen Dioxide (NO2) Pollution Monitoring with Sentinel-5P Satellite Imagery over Europe during the Coronavirus Pandemic Outbreak
* No-Reference Light Field Image Quality Assessment Based on Spatial-Angular Measurement
* No-Reference Video Quality Assessment Based On Similarity Map Estimation
* NOAA-20 VIIRS Reflective Solar Band Postlaunch Calibration Updates Two Years In-Orbit
* Node Capability Classification in Internet of Things, A
* Nodis: Neural Ordinary Differential Scene Understanding
* Noise-Sampling Cross Entropy Loss: Improving Disparity Regression Via Cost Volume Aware Regularizer
* Noiserank: Unsupervised Label Noise Reduction with Dependence Models
* Noisy Localization Annotation Refinement For Object Detection
* Non Zero Mean Adaptive Cosine Estimator and Application to Hyperspectral Imaging
* Non-Convex Optimization For Sparse Interferometric Phase Estimation
* Non-Extra Pixel Interpolation
* Non-Invasive Methodological Approach to Detect and Characterize High-Risk Sinkholes in Urban Cover Evaporite Karst: Integrated Reflection Seismics, PS-InSAR, Leveling, 3D-GPR and Ancillary Data. A NE Italian Case Study
* Non-Linear 3d Reconstruction For Compressive X-Ray Tomosynthesis
* Non-Linear Distance Filter for Modeling Effect of a Large Pointer Used in a Gesture-Based Pointing Interface
* Non-local Mean Temporal Filter for Video Compression, A
* Non-local Spatial Propagation Network for Depth Completion
* Non-Stationary Hyperspectral Forward Model and High-Resolution
* NOR-VDPNET: A No-Reference High Dynamic Range Quality Metric Trained on HDR-VDP 2
* Normalgan: Learning Detailed 3d Human from a Single RGB-D Image
* Novel Ambiguity Parameter Estimation and Elimination Strategy for GNSS/INS Tightly Coupled Integration, A
* Novel Anti-Collusion Audio Fingerprinting Scheme Based on Fourier Coefficients Reversing, A
* novel approach in multimodality medical image fusion using optimal shearlet and deep learning, A
* Novel Audio Features for Music Emotion Recognition
* Novel Centroid Update Approach For Clustering-Based Superpixel Methods And Superpixel-Based Edge Detection, A
* Novel Chroma Representation For Improved HDR Video Compression Efficiency Using The Hevc Standard, A
* Novel clustering schemes for full and compact polarimetric SAR data: An application for rice phenology characterization
* Novel Electromagnetic Wave Rain Gauge and its Average Rainfall Estimation Method, A
* novel error-correcting output codes based on genetic programming and ternary digit operators, A
* Novel Image Fusion Method of Multi-Spectral and SAR Images for Land Cover Classification, A
* Novel Line Integral Transform for 2d Affine-Invariant Shape Retrieval, A
* Novel Machine Learning Approach to Estimate Grapevine Leaf Nitrogen Concentration Using Aerial Multispectral Imagery, A
* Novel Method to Remove Interference Fringes for Hyperspectral SWIR Imagers, A
* novel nonintrusive decision support approach for heart rate measurement, A
* Novel Parameter Estimation and Radar Detection Approaches for Multiple Point-Like Targets: Designs and Comparisons
* Novel Parameter Estimation for Polynomial Phase Signals Using the Spectrum Phase, A
* Novel Pooling Method for Regularization of Deep Neural networks, A
* Novel Scheme for Merging Active and Passive Satellite Soil Moisture Retrievals Based on Maximizing the Signal to Noise Ratio, A
* novel segmentation technique for online handwritten Bangla words, A
* novel two-band equilateral wavelet filter bank method for an automated detection of seizure from EEG signals, A
* Novel Unsupervised Change Detection Approach Based On Spectral Transformation For Multispectral Images, A
* Novel View Synthesis on Unpaired Data by Conditional Deformable Variational Auto-encoder
* Novel View Synthesis With Skip Connections
* Novelty Detection Through Model-Based Characterization of Neural Networks
* Nowcasting of Convective Rainfall Using Volumetric Radar Observations
* Nsganetv2: Evolutionary Multi-objective Surrogate-assisted Neural Architecture Search
* Null-sampling for Interpretable and Fair Representations
* Nyquist Pulses for Sub-Nyquist Sampling: Application to Underwater Imaging
* Object as Hotspots: An Anchor-free 3d Object Detection Approach via Firing of Hotspots
* Object Detection with a Unified Label Space from Multiple Datasets
* Object Segmentation In Electrical Impedance Tomography For Tactile Sensing
* Object Tracking Using Spatio-temporal Networks for Future Prediction Location
* Object Tracking Via ImageNet Classification Scores
* Object-and-action Aware Model for Visual Language Navigation
* Object-based Illumination Estimation with Rendering-aware Neural Networks
* Object-contextual Representations for Semantic Segmentation
* Object-Oriented LULC Classification in Google Earth Engine Combining SNIC, GLCM, and Machine Learning Algorithms
* Observer Design for a Class of Discrete-Time Takagi-Sugeno Models with Unmeasurable Premise Variables: Application to an Asynchronous Motor
* Occlusion-aware Depth Estimation with Adaptive Normal Constraints
* Occlusion-aware Siamese Network for Human Pose Estimation
* Occlusion-Guided Vertical Retargeting For Stereoscopic Images Based On Pixel Fusion
* Occupancy Anticipation for Efficient Exploration and Navigation
* Ocean Surface Topography Altimetry by Large Baseline Cross-Interferometry from Satellite Formation
* Ocean: Object-aware Anchor-free Tracking
* Off-policy Reinforcement Learning for Efficient and Effective GAN Architecture Search
* Offline Arabic Handwriting Recognition Using Deep Learning: Comparative Study
* Oid: Outlier Identifying and Discarding in Blind Image Deblurring
* Oil Spill Detection and Mapping: A 50-Year Bibliometric Analysis
* Omni-sourced Webly-supervised Learning for Video Recognition
* On Dropping Clusters to Regularize Graph Convolutional Neural Networks
* On Extended Transform Partitions For The Next Generation Video CODEC
* On Intra Video Coding And In-Loop Filtering For Neural Object Detection Networks
* On Modulating the Gradient for Meta-learning
* On Predictive RAHT For Dynamic Point Cloud Coding
* On Suitability of ALOS-2/PALSAR-2 Dual-Polarized SAR Data for Arctic Sea Ice Parameter Estimation
* On the Convergence of Learning-Based Iterative Methods for Nonconvex Inverse Problems
* On the Generation of Long Binary Sequences With Record-Breaking PSL Values
* On the Land-Sea Contrast in the Surface Solar Radiation (SSR) in the Baltic Region
* On the Robustness of Semantic Segmentation Models to Adversarial Attacks
* On the Steady State Performance of the Kalman Filter Applied to Acoustical Systems
* On the Structures of Representation for the Robustness of Semantic Segmentation to Input Corruption
* On the Usage of the Trifocal Tensor in Motion Segmentation
* On the Use of Glint-Doppler-Azimuth Correlation for Speed Estimation of Nearby Tangential Targets
* On Thermal Infrared Remote Sensing of Plastic Pollution in Natural Waters
* On-body wearable device localization with a fast and memory efficient SVM-kNN using GPUs
* On-Device Event Filtering with Binary Neural Networks for Pedestrian Detection Using Neuromorphic Vision Sensors
* One Shot Radial Distortion Correction by Direct Linear Transformation
* One Shot Segmentation: Unifying Rigid Detection and Non-Rigid Segmentation Using Elastic Regularization
* One-Bit Symbol-Level Precoding for MU-MISO Downlink With Intelligent Reflecting Surface
* One-pixel Signature: Characterizing CNN Models for Backdoor Detection
* One-Shot Layer-Wise Accuracy Approximation For Layer Pruning
* One-To-One Person Re-Identification For Queue Time Estimation
* OneGAN: Simultaneous Unsupervised Learning of Conditional Image Generation, Foreground Segmentation, and Fine-grained Clustering
* Online Automatic Speech Recognition With Listen, Attend and Spell Model
* Online Continual Learning Under Extreme Memory Constraints
* Online Ensemble Model Compression Using Knowledge Distillation
* Online feature selection system for big data classification based on multi-objective automated negotiation
* Online Invariance Selection for Local Feature Descriptors
* Online Learning for Beta-Liouville Hidden Markov Models: Incremental Variational Learning for Video Surveillance and Action Recognition
* Onlineaugment: Online Data Augmentation with Less Domain Knowledge
* Open Augmented Reality System For Mobile Markerless Tracking
* Open-edit: Open-domain Image Manipulation with Open-vocabulary Instructions
* Open-set Adversarial Defense
* Open-Set Metric Learning For Person Re-Identification In The Wild
* Opencc: An open Benchmark data set for Corpus Callosum Segmentation and Evaluation
* Operating Electric Vehicle Fleet for Ride-Hailing Services With Reinforcement Learning
* Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer
* Optimal Measurement Budget Allocation For Particle Filtering
* Optimal Measurement Configuration In Computational Diffractive Imaging
* Optimal Petri-Net Controller for Avoiding Collisions in a Class of Automated Guided Vehicle Systems
* optimal sampling method for multi-temporal land surface temperature validation over heterogeneous surfaces, An
* Optimality Verification of Tensor Completion Model via Self-Validation
* Optimization for Medical Image Segmentation: Theory and Practice When Evaluating With Dice Score or Jaccard Index
* Optimization Of Motion Compensation Based On GPU And CPU For VVC Decoding
* Optimization Using Artificial Immune Systems Applied To Object Tracking And Segmentation
* Optimized Color Contrast Enhancement For Dichromats Using Local And Global Contrast
* Optimized Convolutional Neural Networks for Video Intra Prediction
* Optimized Lifting Scheme Based on A Dynamical Fully Connected Network for Image Coding
* Optimizing the Recognition and Feature Extraction of Wind Turbines through Hybrid Semantic Segmentation Architectures
* Orderly Disorder in Point Cloud Domain
* Orientation-aware Vehicle Re-identification with Semantics-guided Part Attention Network
* Oriented distance regularized level set evolution for image segmentation
* Oriented objects as pairs of middle lines
* Os2d: One-stage One-shot Object Detection by Matching Anchor Features
* OSM Data-Driven Method for Road-Positive Sample Creation, An
* Packdet: Packed Long-Head Object Detector
* Pairwise Adjacency Matrix on Spatial Temporal Graph Convolution Network for Skeleton-Based Two-Person Interaction Recognition
* PAMS: Quantized Super-resolution via Parameterized Max Scale
* Pan-Sharpening Based On Joint Saliency Detection For Multiple Remote Sensing Images
* Pan-Sharpening Based On Parallel Pyramid Convolutional Neural Network
* Pan-Sharpening With Color-Aware Perceptual Loss And Guided Re-Colorization
* Parallax Motion Effect Generation Through Instance Segmentation And Depth Estimation
* Parameters Optimization of Elastic NET for High Dimensional Data using PSO Algorithm
* Parametric Graph-Based Separable Transforms For Video Coding
* Parsenet: A Parametric Surface Fitting Network for 3d Point Clouds
* Parsing very high resolution urban scene images by learning deep ConvNets with edge-aware loss
* Part-aware Prototype Network for Few-Shot Semantic Segmentation
* Partial FOV Center Imaging (PCI): A Robust X-Space Image Reconstruction for Magnetic Particle Imaging
* Particularity Beyond Commonality: Unpaired Identity Transfer with Multiple References
* Partitioning Global Surface Energy and Their Controlling Factors Based on Machine Learning
* Password-conditioned Anonymization and Deanonymization with Face Identity Transformers
* Patch-Based Dual-Tree Complex Wavelet Transform for Kinship Recognition
* Patch-wise Attack for Fooling Deep Neural Network
* Patchattack: A Black-box Texture-based Attack with Reinforcement Learning
* PatchPerPix for Instance Segmentation
* Pathnet: Learning To Generate Trajectories Avoiding Obstacles
* PCANet: Pyramid convolutional attention network for semantic segmentation
* PEA265: Perceptual Assessment of Video Compression Artifacts
* Pedagogical Efficiency at the Ludic Level of a Serious Game
* Peeking into Occluded Joints: A Novel Framework for Crowd Pose Estimation
* Pentadent-Net: Pedestrian Attribute Recognition With Distance Refinement And Correlation Mining
* People as Scene Probes
* Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations
* Perception Enhanced Frame For Visual Object Tracking
* Perceptnet: A Human Visual System Inspired Neural Network For Estimating Perceptual Distance
* Perceptual Colour Difference Uniformity in High Dynamic Range and Wide Colour Gamut
* Perceptual Quality Assessment for Screen Content Images by Spatial Continuity
* Perceptual Quality Assessment On DIBR Synthesized Videos With Composite Distortions
* Perceptual Versus Latitude-Based 360-Deg Video Coding Optimization
* Perceptually Inspired Weighted MSE Optimization Using Irregularity-Aware Graph Fourier Transform
* Performance analysis of classifiers for colon cancer detection from dimensionality reduced microarray gene data
* Performance of a Radar Mosaic Quantitative Precipitation Estimation Algorithm Based on a New Data Quality Index for the Chinese Polarimetric Radars
* Persistent Stereo Visual Localization on Cross-Modal Invariant Map
* Personalized Face Modeling for Improved Face Reconstruction and Motion Retargeting
* PG-Net: Pixel to Global Matching Network for Visual Tracking
* Phantom Studies of Fused-Data TREIT Using Only Biopsy-Probe Electrodes
* Phase-Coded Computational Imaging For Accommodation-Invariant Near-Eye Displays
* Phong Surface: Efficient 3d Model Fitting Using Lifted Optimization, The
* Photogrammetric 3D Model via Smartphone GNSS Sensor: Workflow, Error Estimate, and Best Practices
* Photometric Consistency For Dual Fisheye Cameras
* Photometric Correction of Chang'E-1 Interference Imaging Spectrometer's (IIM) Limited Observing Geometries Data with Hapke Model
* Photometric stereo with central panoramic cameras
* Photon-efficient 3d Imaging with A Non-local Neural Network
* Physiological Detection of Affective States in Children with Autism Spectrum Disorder
* Piecewise Polynomial Approximation Method for Convolution With Large Kernel
* Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation
* Pillar-based Object Detection for Autonomous Driving
* Piou Loss: Towards Accurate Oriented Object Detection in Complex Environments
* PIP: Planning-informed Trajectory Prediction for Autonomous Driving
* Pipal: A Large-scale Image Quality Assessment Dataset for Perceptual Image Restoration
* Pixel-Pair Occlusion Relationship Map (P2ORM): Formulation, Inference and Application
* Pixelhop++: A Small Successive-Subspace-Learning-Based (SSL-Based) Model For Image Classification
* Pl1P: Point-line Minimal Problems Under Partial Visibility in Three Views
* Place perception from the fusion of different image representation
* Placepedia: Comprehensive Place Understanding with Multi-faceted Annotations
* PlaNet: A Neural Network for Detecting Transverse Aeolian Ridges on Mars
* Plug-And-Play Registration And Fusion
* Plugnet: Degradation Aware Scene Text Recognition Supervised by a Pluggable Super-resolution Unit
* Podnet: Pooled Outputs Distillation for Small-tasks Incremental Learning
* Point Cloud Geometry Scalable Coding With a Single End-to-End Deep Learning Model
* Point Cloud Segmentation using RGB Drone Imagery
* Point Set Attention Network For Semantic Segmentation
* Point-set Anchors for Object Detection, Instance Segmentation and Pose Estimation
* Pointar: Efficient Lighting Estimation for Mobile Augmented Reality
* Pointhop++: A Lightweight Learning Model on Point Sets for 3D Classification
* Pointpwc-net: Cost Volume on Point Clouds for (self-)supervised Scene Flow Estimation
* Points2surf Learning Implicit Surfaces from Point Clouds
* Pointtrinet: Learned Triangulation of 3d Point Sets
* Pointvotenet: Accurate Object Detection And 6 DOF Pose Estimation In Point Clouds
* POLLEN13K: A Large Scale Microscope Pollen Grain Image Dataset
* PolSAR Ship Detection Using the Joint Polarimetric Information
* Polysemy Deciphering Network for Human-object Interaction Detection
* PoNA: Pose-Guided Non-Local Attention for Human Pose Transfer
* Pose Augmentation: Class-agnostic Object Pose Transformation for Object Recognition
* Pose Guided Person Image Generation Based on Pose Skeleton Sequence and 3D Convolution
* Pose2mesh: Graph Convolutional Network for 3d Human Pose and Mesh Recovery from a 2d Human Pose
* Position-aware self-attention based neural sequence labeling
* Post-Stimulus Time-Dependent Event Descriptor
* Post-training Piecewise Linear Quantization for Deep Neural Networks
* Postfire Tree Structure from High-Resolution LiDAR and RBR Sentinel 2A Fire Severity Metrics in a Pinus halepensis-Dominated Burned Stand
* Power Of Triply Complementary Priors For Image Compressive Sensing, The
* Powering One-shot Topological NAS with Stabilized Share-parameter Proxy
* Practical Deep Raw Image Denoising on Mobile Devices
* Practical Detection of Trojan Neural Networks: Data-limited and Data-free Cases
* Practical Poisoning Attacks on Neural Networks
* Precipitation Enhancement Experiments in Catchment Areas of Dams: Evaluation of Water Resource Augmentation and Economic Benefits
* Precipitation Retrieval over the Tibetan Plateau from the Geostationary Orbit: Part 2: Precipitation Rates with Elektro-L2 and Insat-3D
* Precise Cerebrovascular Segmentation
* Precise Statistical Approach for Leaf Segmentation
* Preconditioned Gradient Descent Algorithm for Inverse Filtering on Spatially Distributed Networks
* Predicting Visual Overlap of Images Through Interpretable Non-metric Box Embeddings
* Prediction and Recovery for Adaptive Low-resolution Person Re-identification
* Prediction of Chromatic Visual Masking with Deep Learning
* Prediction-Decision Network For Video Object Tracking
* Predictive Coding Networks Meet Action Recognition
* Preliminary Estimation and Validation of Polar Motion Excitation from Different Types of the GRACE and GRACE Follow-On Missions Data
* Primary Quality Factor Estimation Of Resized Double Compressed JPEG Images
* Prime-aware Adaptive Distillation
* Principal Feature Visualisation in Convolutional Neural Networks
* Prior Visual Relationship Reasoning For Visual Question Answering
* Prior-based Domain Adaptive Object Detection for Hazy and Rainy Conditions
* Privacy and Authentication Scheme for IoT Environments Using ECC and Fuzzy Extractor, A
* Privacy Preserving Structure-from-motion
* Privacy Preserving Visual SLAM
* Privacy-Aware Edge Computing System For People Tracking
* Privacy-Preserving Distributed Maximum Consensus
* Probabilistic Anchor Assignment with IoU Prediction for Object Detection
* Probabilistic Color Constancy
* Probabilistic framework for solving visual dialog
* Probing Tissue Microarchitecture of the Baby Brain via Spherical Mean Spectrum Imaging
* Procedure Planning in Instructional Videos
* Profit: A Novel Training Method for sub-4-bit Mobilenet Models
* Progressface: Scale-aware Progressive Learning for Face Detection
* Progressive Contextual Instance Refinement for Weakly Supervised Object Detection in Remote Sensing Images
* Progressive Domain Adaptation for Change Detection Using Season-Varying Remote Sensing Images
* Progressive Point Cloud Deconvolution Generation Network
* Progressive Point To Set Metric Learning For Semi-Supervised Few-Shot Classification
* Progressive Refinement Network for Occluded Pedestrian Detection
* Progressive sample mining and representation learning for one-shot person re-identification
* Progressive Transformers for End-to-end Sign Language Production
* Progressively Guided Alternate Refinement Network for RGB-D Salient Object Detection
* Projected Improved Fista And Application To Image Deblurring
* Propagating Over Phrase Relations for One-stage Visual Grounding
* Proposal-Based Instance Segmentation With Point Supervision
* Proposal-based Video Completion
* Prototype Mixture Models for Few-shot Semantic Segmentation
* Prototype Rectification for Few-shot Learning
* prototype-based SPD matrix network for domain adaptation EEG emotion recognition, A
* PS-DeVCEM: Pathology-sensitive deep learning model for video capsule endoscopy based on weakly labeled data
* PSConv: Squeezing Feature Pyramid into One Compact Poly-Scale Convolutional Layer
* Pseudo RGB-D for Self-improving Monocular SLAM and Depth Prediction
* Pseudo-2-D Transdimensional Bayesian Inversion of the Full Waveform TEM Response From PRBS Source
* PSI Clustering for the Assessment of Underground Infrastructure Deterioration
* Pt2pc: Learning to Generate 3d Point Cloud Shapes from Part Tree Conditions
* Pugeo-net: A Geometry-centric Network for 3d Point Cloud Upsampling
* Pvdeconv: Point-Voxel Deconvolution for Autoencoding CAD Construction in 3D
* Pyramid Multi-view Stereo Net with Self-adaptive View Aggregation
* Qamface: Quadratic Additive Angular Margin Loss For Face Recognition
* QNet: An Adaptive Quantization Table Generator Based on Convolutional Neural Network
* Quality Assessment of SAR-to-Optical Image Translation
* Quality Evaluation Of Digital Holographic Data Encoded On The Object Plane Using State Of The Art Codecs
* Quality Evaluation Of Static Point Clouds Encoded Using MPEG Codecs
* Quality-Driven Dynamic VVC Frame Partitioning for Efficient Parallel Processing
* Quantification of Erosion and Uplift in a Rising Orogen: A Large-Scale Perspective (Late Tortonian to Present): The Case of the Gibraltar Arc, Betic Cordillera, Southern Spain
* Quantification of soil moisture variability over agriculture fields using Sentinel imagery
* Quantification of Wave Reflection in the Human Umbilical Artery From Asynchronous Doppler Ultrasound Measurements
* Quantifying Actin Filaments in Microscopic Images using Keypoint Detection Techniques and A Fast Marching Algorithm
* Quantifying the Influences of Natural Factors and Human Activities on NDVI Changes in the Hanjiang River Basin, China
* Quantization Guided JPEG Artifact Correction
* Quantizing Oriented Object Detection Network via Outlier-Aware Quantization and IoU Approximation
* Quaternion Equivariant Capsule Networks for 3d Point Clouds
* Quaternion Harris For Multispectral Keypoint Detection
* Quest: Quantized Embedding Space for Transferring Knowledge
* Quickest Intruder Detection For Multiple User Active Authentication
* R4 Det: Refined single-stage detector with feature recursion and refinement for rotating object detection in aerial images
* Radar + RGB Fusion For Robust Object Detection In Autonomous Vehicle
* Radiological Identification of Near-Surface Mineralogical Deposits Using Low-Altitude Unmanned Aerial Vehicle
* Radon Transform For Terahertz Computed Tomography Incorporating The Beam Shape, The
* Raft: Recurrent All-pairs Field Transforms for Optical Flow
* Railcar Detection, Identification and Tracking for Rail Yard Management
* Range-Ambiguous Clutter Suppression for the SAR-GMTI System Based on Extended Azimuth Phase Coding
* Rank-Smoothed Pairwise Learning In Perceptual Quality Assessment
* RANSAC-flow: Generic Two-stage Image Alignment
* Rapid Assessment of Hillslope Erosion Risk after the 2019-2020 Wildfires and Storm Events in Sydney Drinking Water Catchment
* Rate Control For Versatile Video Coding
* Rate Distortion Optimization Over Large Scale Video Corpus With Machine Learning
* RBF-Softmax: Learning Deep Representative Prototypes with Radial Basis Function Softmax
* Rbvs-Net: A Robust Convolutional Neural Network For Retinal Blood Vessel Segmentation
* RD-GAN: Few/zero-shot Chinese Character Style Transfer via Radical Decomposition and Rendering
* Reactnet: Towards Precise Binary Neural Network with Generalized Activation Functions
* READ: Reciprocal Attention Discriminator for Image-to-Video Re-identification
* Real-Time 3D Face Alignment Using an Encoder-Decoder Network With an Efficient Deconvolution Layer
* Real-Time and Low-Memory Multi-Faces Detection System Design With Naive Bayes Classifier Implemented on FPGA
* Real-Time ATC Safety Monitoring Framework Using a Deep Learning Approach, A
* Real-Time Hierarchical Supervoxel Segmentation via a Minimum Spanning Tree
* Real-Time Implementation Of Scalable Hevc Encoder
* Real-time Lexicon-free Scene Text Retrieval
* Real-Time Orthophoto Mosaicing on Mobile Devices for Sequential Aerial Images with Low Overlap
* Real-Time Semantic Background Subtraction
* Real-Time Semantic Scene Completion Via Feature Aggregation And Conditioned Prediction
* Real-world Blur Dataset for Learning and Benchmarking Deblurring Algorithms
* Real-World Image Denoising with Deep Boosting
* Realistic Talking Face Synthesis With Geometry-Aware Feature Transformation
* Reasoning on the Relation: Enhancing Visual Representation for Visual Question Answering and Cross-Modal Retrieval
* Receding horizon optimal control of HEVs with on-board prediction of driver's power demand
* Recent Advances on HEVC Inter-Frame Coding: From Optimization to Implementation and Beyond
* Recent Crustal Deformation Based on Interpolation of GNSS Velocity in Continental China
* Recent Ground Subsidence in the North China Plain, China, Revealed by Sentinel-1A Datasets
* Recommendation Approach in Social Learning Based on K-Means Clustering, A
* Reconfigurable Radiation Pattern Antenna with eight Switchable Beams in Azimuth Plane for WLAN Wireless System
* Reconstruct and Represent Video Contents for Captioning via Reinforcement Learning
* Reconstructing NBA Players
* Reconstructing the Noise Variance Manifold for Image Denoising
* Reconstruction and Nowcasting of Rainfall Field by Oblique Earth-Space Links Network: Preliminary Results from Numerical Simulation
* Recurrent Transformer Network for Novel View Action Synthesis, A
* Recursive CSI Quantization of Time-Correlated MIMO Channels by Deep Learning Classification
* Redro: Efficiently Learning Large-sized SPD Visual Representation
* Reducing Distributional Uncertainty by Mutual Information Maximisation and Transferable Feature Learning
* Reducing Language Biases in Visual Question Answering with Visually-grounded Question Encoder
* Reducing the Sim-to-real Gap for Event Cameras
* Referit3d: Neural Listeners for Fine-grained 3d Object Identification in Real-world Scenes
* Refined UNet V2: End-to-End Patch-Wise Network for Noise-Free Cloud and Shadow Segmentation
* Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks
* Reflection Separation via Multi-bounce Polarization State Tracing
* Region Adaptive Graph Fourier Transform for 3D Point Clouds
* Region Graph Embedding Network for Zero-shot Learning
* Region Of Interest Extraction Based On Co-Saliency Analysis And Feedback Strategy For Remote Sensing Images
* Region-Based Predictors For Intra Block Copy
* Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses
* Regression of Instance Boundary by Aggregated CNN and GCN
* Regularization with Latent Space Virtual Adversarial Training
* Reinforced Axial Refinement Network for Monocular 3d Object Detection
* Reinforcement Learning-Based Layer-Wise Quantization For Lightweight Deep Neural Networks
* Relation Graph Network for 3D Object Detection in Point Clouds
* Relation Matters: Relational Context-Aware Fully Convolutional Network for Semantic Segmentation of High-Resolution Aerial Images
* Relative Contributions of Anatomical and Quantum Noise in Signal Detection and Perception of Tomographic Digital Breast Images
* Relative Pose Estimation For Stereo Rolling Shutter Cameras
* Relative Pose Estimation of Calibrated Cameras with Known Se(3) Invariants
* Reliable Temporally Consistent Feature Adaptation for Visual Object Tracking
* Remind Your Neural Network to Prevent Catastrophic Forgetting
* Remote Estimation of Target Height from Unmanned Aerial Vehicle (UAV) Images
* Remote health monitoring system of elderly based on Fog to Cloud (F2C) computing
* Remote Sensing Diagnosis of Water Use and Water Stress in a Region with Intense Irrigation Growth in Brazil, A
* Remote Sensing in Agriculture: Accomplishments, Limitations, and Opportunities
* Remote Sensing of Burn Severity Using Coupled Radiative Transfer Model: A Case Study on Chinese Qinyuan Pine Fires
* Remote Sensing of Ice Conditions in the Southeastern Baltic Sea and in the Curonian Lagoon and Validation of SAR-Based Ice Thickness Products
* Remote Sensing of Mine Site Rehabilitation for Ecological Outcomes: A Global Systematic Review
* Reparameterizing Convolutions for Incremental Multi-Task Learning Without Task Interference
* Rephrasing Visual Questions by Specifying the Entropy of the Answer Distribution
* Representation Reconstruction Head for Object Detection
* Representation Sharing for Fast Object Detector Search and Beyond
* Representative Graph Neural Network
* Research Contributions with Algorithmic Comparison on the Diagnosis of Diabetic Retinopathy
* Residual Dense Generative Adversarial Network For Pansharpening With Geometrical Constraints, A
* Residual Encoder-Decoder Network For Deep Subspace Clustering
* Residual Guided Deblocking With Deep Learning
* Residual Networks Based Distortion Classification and Ranking for Laparoscopic Image Quality Assessment
* Resolution Switchable Networks for Runtime Efficient Image Recognition
* Response of Natural Vegetation to Climate in Dryland Ecosystems: A Comparative Study between Xinjiang and Arizona
* Rethinking Background And Foreground In Deep Neural Network-Based Background Subtraction
* Rethinking Class Activation Mapping for Weakly Supervised Object Localization
* Rethinking Few-shot Image Classification: A Good Embedding is All You Need?
* Rethinking Image Deraining via Rain Streaks and Vapors
* Rethinking Image Inpainting via a Mutual Encoder-decoder with Feature Equalizations
* Rethinking Pseudo-Lidar Representation
* Rethinking the Defocus Blur Detection Problem and a Real-time Deep Dbd Model
* Retinal Vessel Segmentation Under Extreme Low Annotation: A Gan Based Semi-Supervised Approach
* Retrieval of Daily Reference Evapotranspiration for Croplands in South Korea Using Machine Learning with Satellite Images and Numerical Weather Prediction Data
* RetrieveGAN: Image Synthesis via Differentiable Patch Retrieval
* Retrieving and Highlighting Action with Spatiotemporal Reference
* Retrieving snow wetness based on surface and volume scattering simulation
* Reversing the Cycle: Self-supervised Deep Stereo Through Enhanced Monocular Distillation
* Review of Shared Control for Automated Vehicles: Theory and Applications, A
* Revisiting Role of Autoencoders in Adversarial Settings
* Rewriting a Deep Generative Model
* RFI Suppression for SAR Systems Based on Removed Spectrum Iterative Adaptive Approach
* RGB-D Salient Object Detection with Cross-modality Modulation and Selection
* Rhyrnn: Rhythmic RNN for Recognizing Events in Long and Complex Videos
* River Ice Segmentation With Deep Learning
* Road Damage Detection Based on Unsupervised Disparity Map Segmentation
* Road traffic mortality in Morocco: Analysis of statistical data
* Robust 3D reconstruction of building surfaces from point clouds based on structural and closed constraints
* Robust Adversarial Learning For Semi-Supervised Semantic Segmentation
* Robust Audio-Visual Mandarin Speech Recognition Based On Adaptive Decision Fusion And Tone Features
* Robust CBCT Reconstruction Based On Low-Rank Tensor Decomposition And Total Variation Regularization
* Robust Depth Estimation From Multi-Focus Plenoptic Images
* Robust Face Alignment by Multi-Order High-Precision Hourglass Network
* Robust H.264 Video Decoding Using CRC-Based Single Error Correction and Non-Desynchronizing Bits Validation
* Robust Intensity Image Reconstruciton Based On Event Cameras
* Robust kernelized graph-based learning
* Robust Light Field Depth Estimation With Occlusion Based On Spatial And Spectral Entropies Data Costs
* Robust Network-Wide Bus Scheduling With Transfer Synchronizations
* Robust Neural Networks Inspired by Strong Stability Preserving Runge-Kutta Methods
* Robust Nonlocal Low-Rank SAR Time Series Despeckling Considering Speckle Correlation by Total Variation Regularization
* Robust Principal Component Analysis Using Alpha Divergence
* Robust Re-identification by Multiple Views Knowledge Distillation
* Robust Revocable Anonymous Authentication for Vehicle to Grid Communications
* Robust Structured Dictionary Learning For Block Sparse Representations Using a-Divergence
* Robust Tensor Decomposition for Image Representation Based on Generalized Correntropy
* Robust Tracking Against Adversarial Attacks
* Robust Video Facial Authentication With Unsupervised Mode Disentanglement
* Robustfusion: Human Volumetric Capture with Data-driven Visual Cues Using a RGBD Camera
* Robustness and Overfitting Behavior of Implicit Background Models
* Robustscanner: Dynamically Enhancing Positional Clues for Robust Text Recognition
* Rotation invariant features based on three dimensional Gaussian Markov random fields for volumetric texture classification
* Rotation-Robust Intersection over Union for 3d Object Detection
* Rotationally-temporally Consistent Novel View Synthesis of Human Performance Video
* Routing in Wireless Sensor Networks using Fuzzy Logic: A survey
* Routing Scheme Using an Adaptive K-Harmonic Means Clustering for VANETs, A
* RSANet: Deep Recurrent Scale-Aware Network for Crowd Counting
* Rtip: A Fully Automated Root Tip Tracker For Measuring Plant Growth With Intermittent Perturbations
* RubiksNet: Learnable 3D-Shift for Efficient Video Action Recognition
* RUESVMs: An Ensemble Method to Handle the Class Imbalance Problem in Land Cover Mapping Using Google Earth Engine
* S2dnas: Transforming Static Cnn Model for Dynamic Inference via Neural Architecture Search
* S6: Semi-Supervised Self-Supervised Semantic Segmentation
* Saca Net: Cybersickness Assessment of Individual Viewers for VR Content via Graph-Based Symptom Relation Embedding
* Saliency-Driven Class Impressions For Feature Visualization Of Deep Neural Networks
* Sampling of 3D Point Cloud Via Gershgorin Disc Alignment
* SAR analysis of wetland ecosystems: Effects of band frequency, polarization mode and acquisition dates
* SAR Target Classification Based on Sample Spectral Regularization
* SAR Tomography at the Limit: Building Height Reconstruction Using Only 3-5 TanDEM-X Bistatic Interferograms
* Satellite Image Multi-Frame Super Resolution Using 3D Wide-Activation Neural Networks
* Satellite-Based Spatio-Temporal Machine Learning Model to Reconstruct Daily PM2.5 Concentrations across Great Britain, A
* Scalable Learned Image Compression With A Recurrent Neural Networks-Based Hyperprior
* Scalable multi agent system middleware for HPC of Big Data Applications
* Scale-aware limited deformable convolutional neural networks for traffic sign detection and classification
* Scale-Invariant Multi-Oriented Text Detection in Wild Scene Image
* Scale-Invariant Siamese Network For Person Re-Identification
* Scan: Learning to Classify Images Without Labels
* Scanrefer: 3d Object Localization in RGB-D Scans Using Natural Language
* Scene Text Image Super-Resolution in the Wild
* Scene-Unified Image Translation For Visual Localization
* SceneCAD: Predicting Object Alignments and Layouts in RGB-D Scans
* Scenesketcher: Fine-grained Image Retrieval with Scene Sketches
* SCoBi Multilayer: A Signals of Opportunity Reflectometry Model for Multilayer Dielectric Reflections
* Scribblebox: Interactive Annotation Framework for Video Object Segmentation
* SCW-SGD: Stochastically Confidence-Weighted SGD
* SD-FB-GAN: Saliency-Driven Feedback GAN for Remote Sensing Image Super-Resolution Reconstruction
* SDT: A Synthetic Multi-Modal Dataset For Person Detection And Pose Classification
* Sea Echoes for Airborne HF/VHF Radar: Mathematical Model and Simulation
* Sea Surface Temperature and High Water Temperature Occurrence Prediction Using a Long Short-Term Memory Model
* Sea-Net: Squeeze-and-Excitation Attention Net For Diabetic Retinopathy Grading
* SEAIR Framework Accounting for a Personalized Risk Prediction Score: Application to the Covid-19 Epidemic
* Search What You Want: Barrier Penalty NAS for Mixed Precision Quantization
* Searching Efficient 3d Architectures with Sparse Point-voxel Convolution
* Security of Facial Forensics Models Against Adversarial Attacks
* Sediment Classification of Acoustic Backscatter Image Based on Stacked Denoising Autoencoder and Modified Extreme Learning Machine
* See Through Occlusions: Detailed Human Shape Estimation From A Single Image With Occlusions
* Seg-Hashnet: Semantic Segmentation Based Unsupervised Hashing
* Segment as Points for Efficient Online Multi-object Tracking and Segmentation
* Segment-Based Methods for Facial Attribute Detection from Partial Faces
* Segmentation Algorithm of the Valid Region in Fisheye Images Using Edge and Region Information
* Segmentation and 3D Reconstruction of Non-Rigid Shape from RGB Video
* Segmentation of medical images for the extraction of brain tumors: A comparative study between the Hidden Markov and Deep Learning approaches
* Segmentation of tumor using PCA based modified fuzzy C means algorithms on MR brain images
* Segmentations-leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation
* Segmenting Transparent Objects in the Wild
* Segmenting Unseen Industrial Components In A Heavy Clutter Using RGB-D Fusion And Synthetic Data
* Selecting Relevant Features from a Multi-domain Representation for Few-shot Classification
* Selective Complementary Features For Multi-Person Pose Estimation
* Self-Attention Dense Depth Estimation Network for Unrectified Video Sequences
* Self-attention for raw optical Satellite Time Series Classification
* Self-challenging Improves Cross-domain Generalization
* Self-Organized Model Fitting Method for Railway Structures Monitoring Using LiDAR Point Cloud
* Self-prediction for Joint Instance and Semantic Segmentation of Point Clouds
* Self-similarity Student for Partial Label Histopathology Image Segmentation
* Self-Supervised Annotation of Seismic Images Using Latent Space Factorization
* Self-supervised Bayesian Deep Learning for Image Recovery with Applications to Compressive Sensing
* Self-Supervised CycleGAN for Object-preserving Image-to-Image Domain Adaptation
* Self-supervised Keypoint Correspondences for Multi-person Pose Estimation and Tracking in Videos
* Self-Supervised Learning of Depth and Pose Using Cycle Generative Adversarial Network
* Self-supervised Monocular 3D Face Reconstruction by Occlusion-aware Multi-view Geometry Consistency
* Self-supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance
* Self-supervised Motion Representation via Scattering Local Motion Cues
* Self-supervised Multi-task Procedure Learning from Instructional Videos
* Self-supervised Outdoor Scene Relighting
* Self-supervised Single-view 3d Reconstruction via Semantic Consistency
* Self-supervised Video Representation Learning by Pace Prediction
* Self-supervising Fine-grained Region Similarities for Large-scale Image Localization
* Self-Training Of Graph Neural Networks Using Similarity Reference For Robust Training With Noisy Labels
* Self6d: Self-supervised Monocular 6d Object Pose Estimation
* Semantic Curiosity for Active Visual Learning
* Semantic Equivalent Adversarial Data Augmentation for Visual Question Answering
* Semantic Fisher Scores for Task Transfer: Using Objects to Classify Scenes
* Semantic Flow for Fast and Accurate Scene Parsing
* Semantic Line Detection Using Mirror Attention and Comparative Ranking and Matching
* Semantic Mutex Watershed for Efficient Bottom-up Semantic Instance Segmentation, The
* Semantic Object Prediction and Spatial Sound Super-resolution with Binaural Sounds
* Semantic Oriented Text Clustering Based on RDF
* Semantic Relation Preserving Knowledge Distillation for Image-to-image Translation
* Semantic Segmentation of Airborne LiDAR Data in Maya Archaeology
* Semantic-Preserving Image Compression
* SemantiCADV: Generating Adversarial Examples via Attribute-conditioned Image Editing
* Semantically Scalable Image Coding With Compression of Feature Maps
* Semantically Supervised Maximal Correlation For Cross-Modal Retrieval
* Semi-Automated Method for Estimating Adélie Penguin Colony Abundance from a Fusion of Multispectral and Thermal Imagery Collected with Unoccupied Aircraft Systems, A
* Semi-Automatic Generation Of Tight Binary Masks And Non-Convex Isosurfaces For Quantitative Analysis of 3D Biological Samples
* Semi-Siamese Training for Shallow Face Learning
* Semi-Supervised Background Subtraction Of Unseen Videos: Minimization of the Total Variation Of Graph Signals
* Semi-Supervised Crowd Counting via Self-training on Surrogate Tasks
* Semi-Supervised Graph Convolutional Hashing Network For Large-Scale Cross-Modal Retrieval
* Semi-supervised Learning with a Teacher-student Network for Generalized Attribute Prediction
* Semi-Supervised Medical Image Classification With Relation-Driven Self-Ensembling Model
* Semi-Supervised Multi-Spectral Land Cover Classification With Multi-Attention and Adaptive Kernel
* Semi-Supervised Multimodality Learning With Graph Convolutional Neural Networks For Disease Diagnosis
* Semi-Supervised Remote Sensing Image Semantic Segmentation via Consistency Regularization and Average Update of Pseudo-Label
* Semi-supervised Semantic Segmentation via Strong-weak Dual-branch Network
* SemifreddoNets: Partially Frozen Neural Networks for Efficient Computer Vision Systems
* Sen: A Novel Feature Normalization Dissimilarity Measure for Prototypical Few-shot Learning Networks
* Sensitivities of Quantitative Precipitation Forecasts for Typhoon Soudelor (2015) near Landfall to Polarimetric Radar Data Assimilation
* sensor fault detection scheme of DFIG-based wind turbine using deep auto-encoder approach, A
* Separability of Mowing and Ploughing Events on Short Temporal Baseline Sentinel-1 Coherence Time Series
* Sequential Convolution and Runge-Kutta Residual Architecture for Image Compressed Sensing
* serialized classification method for pulmonary nodules based on lightweight cascaded convolutional neural network-long short-term memory, A
* Sesame: Semantic Editing of Scenes by Adding, Manipulating or Erasing Objects
* Severity detection and infection level identification of tuberculosis using deep learning
* SF-net: Single-frame Supervision for Temporal Action Localization
* SFVCC: Chaotic map-based security framework for vehicular cloud computing
* Shape and Viewpoint Without Keypoints
* Shape Prior Deformation for Categorical 6d Object Pose and Size Estimation
* Shape-Adaptive Kernel Network for Dense Object Detection
* Sharing Emotions in the Distance Education Experience: Attitudes and Motivation of University Students
* Shear Induced Non-Linear Elasticity Imaging: Elastography for Compound Deformations
* Shonan Rotation Averaging: Global Optimality by Surfing So(p)n
* Short-term and Long-term Context Aggregation Network for Video Inpainting
* Short-Term Forecasting of Satellite-Based Drought Indices Using Their Temporal Patterns and Numerical Model Output
* Shrinkage as Activation for Learned Image Compression
* Shrub Fractional Cover Estimation and Mapping of San Clemente Island Shrubland Based on Airborne Multispectral Imagery and Lidar Data
* Siamese Network Utilizing Image Structural Differences For Cross-Category Defect Detection, A
* Side-aware Boundary Localization for More Precise Object Detection
* SIDU: Similarity Difference And Uniqueness Method for Explainable AI
* Signal Adaptive Prediction Filter for Video Coding Using Directional Total Variation: Mathematical Framework and Parameter Selection, A
* Silhouette 4d: An Inter-Frame Lossless Geometry Coder Of Dynamic Voxelized Point Clouds
* SimAug: Learning Robust Representations from Simulation for Trajectory Prediction
* Similarity-Based Unsupervised Deep Transfer Learning for Remote Sensing Image Retrieval
* Simple and Effective Framework for Pairwise Deep Metric Learning, A
* Simple Yet Effective Pipeline For Radial Distortion Correction, A
* Simulating Content Consistent Vehicle Datasets with Attribute Descent
* Simultaneous 3dx-Ray Ptycho-Tomography With Gradient Descent
* Single Architecture and Multiple task deep Neural Network for Altered Fingerprint Analysis
* Single Image Dehazing Via Artificial Multiple Shots And Multidimensional Context
* Single Image Glare Removal Using Deep Convolutional Networks
* Single Image Super-Resolution Using Depth Map as Constraint
* Single Image Super-Resolution Via A Progressive Mixture Model
* Single Image Super-Resolution Via Residual Neuron Attention Networks
* Single Stream Network for Robust and Real-time RGB-D Salient Object Detection, A
* Single View Metrology in the Wild
* Single-shot Neural Relighting and SVBRDF Estimation
* Sipmask: Spatial Information Preservation for Fast Image and Video Instance Segmentation
* Skeleton Action Recognition Based on Singular Value Decomposition
* Skeleton-Based Action Recognition With Multi-Stream Adaptive Graph Convolutional Networks
* Sketch-guided Object Localization in Natural Images
* Sketched Sparse Subspace Clustering For Large-Scale Hyperspectral Images
* Sketching Image Gist: Human-Mimetic Hierarchical Scene Graph Generation
* Skin Cancer Diagnosis Using an Improved Ensemble Machine Learning model
* Skinny: A Lightweight U-Net For Skin Detection And Segmentation
* Slice-Based Instance and Semantic Segmentation for Low-Channel Roadside LiDAR Data
* Slice-Based Super-Resolution Using Light-Weight Network With Relation Loss
* Slimmer Network with Polymorphic and Group Attention Modules for More Efficient Object Detection in Aerial Images, A
* Small-Signal Modeling of GaAs: pHEMT Using Direct Extraction Method
* Smap: Single-shot Multi-person Absolute 3d Pose Estimation
* Smart Data Collection in Mobile Edge Computing Environment
* SMART: Simultaneous Multi-agent Recurrent Trajectory Prediction
* Smooth Filters for Improving Prony's Method in Labview Environment
* Smooth-AP: Smoothing the Path Towards Large-scale Image Retrieval
* Social Adaptive Module for Weakly-supervised Group Activity Recognition
* Soda: Story Oriented Dense Video Captioning Evaluation Framework
* Soft Anchor-point Object Detection
* Soft Colour Segmentation On Light Fields
* Soft Expert Reward Learning for Vision-and-Language Navigation
* Soft-Label Anonymous Gastric X-Ray Image Distillation
* Solar: Second-order Loss and Attention for Image Retrieval
* Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier
* Solving the Blind Perspective-n-point Problem End-to-end with Robust Differentiable Geometric Optimization
* Sound2sight: Generating Visual Dynamics from Sound and Context
* Soundspaces: Audio-visual Navigation in 3d Environments
* Space-Time Guided Association Learning For Unsupervised Person Re-Identification
* SPAN: Spatial Pyramid Attention Network for Image Manipulation Localization
* Spark: Spatial-aware Online Incremental Attack Against Visual Tracking
* Sparse Adversarial Attack via Perturbation Factorization
* Sparse motion fields for trajectory prediction
* Sparse Optical Flow Computation Using Wave Equation-Based Energy
* Sparse-to-dense Depth Completion Revisited: Sampling Strategy and Graph Construction
* Sparsity Preserved Canonical Correlation Analysis
* Spatial Analysis of Land Subsidence in the San Luis Potosi Valley Induced by Aquifer Overexploitation Using the Coherent Pixels Technique (CPT) and Sentinel-1 InSAR Observation
* Spatial and Temporal Changes in Surface Water Area of Sri Lanka over a 30-Year Period
* Spatial and Temporal Human Settlement Growth Differentiation with Symbolic Machine Learning for Verifying Spatial Policy Targets: Assiut Governorate, Egypt as a Case Study
* Spatial Attention Pyramid Network for Unsupervised Domain Adaptation
* Spatial Geometric Reasoning for Room Layout Estimation via Deep Reinforcement Learning
* Spatial Keyframe Extraction Of Mobile Videos For Efficient Object Detection At The Edge
* Spatial Sharpening of KOMPSAT-3A MIR Images Using Optimal Scaling Factor
* Spatial Variation in Coastal Dune Evolution in a High Tidal Range Environment
* Spatial-angular Interaction for Light Field Image Super-resolution
* Spatial-Spectral-Environmental Extraction Endmember Algorithm and Application in the MODIS Fractional Snow Cover Retrieval, The
* Spatial-Temporal Evolution of Land Subsidence and Rebound over Xi'an in Western China Revealed by SBAS-InSAR Analysis
* Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation
* Spatially Aware Multimodal Transformers for TextVQA
* Spatially Constrained Multichannel Algorithm for Inversion of a First-Order Microwave Emission Model at L-Band, A
* Spatio-Angular Binary Descriptor For Fast Light Field Inter View Matching, A
* Spatio-Temporal Assessment of Global Precipitation Products Over the Largest Agriculture Region in Pakistan
* Spatio-temporal context based recurrent visual attention model for lymph node detection
* Spatio-Temporal Evaluation of Water Storage Trends from Hydrological Models over Australia Using GRACE Mascon Solutions
* Spatio-Temporal Slowfast Self-Attention Network For Action Recognition
* Spatio-Temporal Validation of AIRS CO2 Observations Using GAW, HIPPO and TCCON
* Spatiotemporal Antialiasing in Photoacoustic Computed Tomography
* Spatiotemporal Attacks for Embodied Agents
* Speaker Attractor Network: Generalizing Speech Separation to Unseen Numbers of Sources
* Speaker-Independent Lipreading With Limited Data
* Spectral Acceleration Approach for the Spherical Harmonics Discrete Ordinate Method, A
* Spherical Feature Transform for Deep Metric Learning
* Spiral Generative Network for Image Extrapolation
* SPL-MLL: Selecting Predictable Landmarks for Multi-label Learning
* Splitting Vs. Merging: Mining Object Regions with Discrepancy and Intersection Loss for Weakly Supervised Semantic Segmentation
* Spot: Selective Point Cloud Voting for Better Proposal in Point Cloud Object Detection
* Springtime Upwelling and Its Formation Mechanism in Coastal Waters of Manaung Island, Myanmar
* Square Attack: A Query-efficient Black-box Adversarial Attack via Random Search
* Squeezesegv3: Spatially-adaptive Convolution for Efficient Point-cloud Segmentation
* SR2: Super-Resolution With Structure-Aware Reconstruction
* SREVAS: Shading Based Surface Refinement under Varying Albedo and Specularity
* Srflow: Learning the Super-resolution Space with Normalizing Flow
* SRG: Snippet Relatedness-Based Temporal Action Proposal Generator
* Srnet: Improving Generalization in 3d Human Pose Estimation with a Split-and-recombine Approach
* Sscgan: Facial Attribute Editing via Style Skip Connections
* SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds
* ST-CORAbico: A Spatiotemporal Object-Based Bias Correction Method for Storm Prediction Detected by Satellite
* ST-LSTM: Spatio-Temporal Graph Based Long Short-Term Memory Network For Vehicle Trajectory Prediction
* Stable Computation of Hahn Polynomials for Higher Polynomial Order
* Stacking Ensemble for Anomaly Based Client-Specific Face Spoofing Detection, A
* Stacking Networks Dynamically for Image Restoration Based on the Plug-and-play Framework
* Standard Plenoptic Cameras Mapping to Camera Arrays and Calibration Based on DLT
* STAR: Sparse Trained Articulated Human Body Regressor
* Statistical Analysis of HRV Parameters for the Detection of Arrhythmia
* Statistical Convolution On Unordered Point Set
* Statistical correlative model in the multimodal fusion of brain images
* STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos
* Stereo Disparity Estimation via Joint Supervised, Unsupervised, and Weakly Supervised Learning
* Stochastic Bundle Adjustment for Efficient and Scalable 3d Reconstruction
* Storm Surge Hazard Assessment of the Levee of a Rapidly Developing City-Based on LiDAR and Numerical Models
* Strategies to Utilize the Positive Emotional Contagion Optimally in Crowd Evacuation
* Stress-free mobile app for Moroccan university students: relaxation program validation
* Structure-aware Generation Network for Recipe Generation from Images
* Structured graph learning for clustering and semi-supervised classification
* Structured Landmark Detection via Topology-adapting Deep Graph Learning
* Structured learning and prediction in face sketch gender classification and recognition
* Structured3D: A Large Photo-realistic Dataset for Structured 3d Modeling
* Study Of Alignment Mechanisms In Adversarial Domain Adaptation, A
* Study Of Prediction Methods Based On Machine Learning Techniques For Lossless Image Coding, A
* Study of Sonar Image Stabilization of Unmanned Surface Vehicle Based on Motion Sensor for Inspection of Underwater Infrastructure, A
* Study On Light Field Denoising For 3d Consistent Visualization, A
* study on predicting and diagnosing non-communicable diseases: case of cardiovascular diseases, A
* Study, Design and Simulation of an Array Antenna for Base Station 5G
* Style Extractor For Facial Expression Recognition in the Presence of Speech
* StyleGAN2 Distillation for Feed-forward Image Manipulation
* Sub-center Arcface: Boosting Face Recognition by Large-scale Noisy Web Faces
* Subjective and Objective De-Raining Quality Assessment Towards Authentic Rain Image
* Subjective Quality Assessment for Youtube UGC Dataset
* Subset Sampling for Progressive Neural Network Learning
* Substitute Model Generation for Black-Box Adversarial Attack Based on Knowledge Distillation
* Sumgraph: Video Summarization via Recursive Graph Modeling
* Summarizing The Performances Of A Background Subtraction Algorithm Measured On Several Videos
* Supatlantique Scanned Documents Database for Digital Image Forensics Purposes, The
* Super Gaussian Priors for Blind Color Deconvolution of Histological Images
* Super-Resolution by Image Enhancement Using Texture Transfer
* Super-Resolution of 3D MRI Corrupted by Heavy Noise With the Median Filter Transform
* Super-Resolving Commercial Satellite Imagery Using Realistic Training Data
* Superpixel with nanoscale imaging and boosted deep convolutional neural network concept for lung tumor classification
* Supervised Descent Learning Technique for Solving Directional Electromagnetic Logging-While-Drilling Inverse Problems, A
* Supervised Edge Attention Network for Accurate Image Instance Segmentation
* Supervised Multi-View Distributed Hashing
* Suppress and Balance: A Simple Gated Network for Salient Object Detection
* Suppression of Motion Artifacts Caused by Temporally Recurring Tracer Distributions in Multi-Patch Magnetic Particle Imaging
* Suppression of Wind Ripples and Microwave Backscattering Due to Turbulence Generated by Breaking Surface Waves
* Surface Hof: Surface Reconstruction From A Single Image Using Higher Order Function Networks
* Surface Normal Estimation of Tilted Images via Spatial Rectifier
* Surgical Wounds Assessment System for Self-Care
* Survey of Algorithms for Distributed Charging Control of Electric Vehicles in Smart Grid, A
* Survey on Educational Data Mining 2014-2019], A
* Survey on how computer vision can response to urgent need to contribute in COVID-19 pandemics, A
* Symbiotic Adversarial Learning for Attribute-based Person Search
* Syndrome-Based Autoencoder For Point Cloud Geometry Compression, A
* synergy of double attention: Combine sentence-level and word-level attention for image captioning, The
* Synthesis and Completion of Facades from Satellite Imagery
* Synthesize Then Compare: Detecting Failures and Anomalies for Semantic Segmentation
* Table Structure Recognition Using Top-down and Bottom-up Cues
* Tackling mode collapse in multi-generator GANs with orthogonal vectors
* Tafssl: Task-adaptive Feature Sub-space Learning for Few-shot Classification
* Take an Emotion Walk: Perceiving Emotions from Gaits Using Hierarchical Attention Pooling and Affective Mapping
* Talking-head Generation with Rhythmic Head Motion
* TANet: Towards Fully Automatic Tooth Arrangement
* TAO: A Large-scale Benchmark for Tracking Any Object
* Target Detection in Cluttered Environments Using Infra-Red Images
* Targeted Attack for Deep Hashing Based Retrieval
* Targeted Incorporating Spatial Information in Sparse Subspace Clustering of Hyperspectral Remote Sensing Images
* Task-aware Quantization Network for JPEG Image Compression
* Task-conditioned Domain Adaptation for Pedestrian Detection in Thermal Imagery
* Task-Oriented Multi-Modal Question Answering For Collaborative Applications
* Teaching Cameras to Feel: Estimating Tactile Physical Properties of Surfaces from Images
* Technical Solution Discussion for Key Challenges of Operational Convolutional Neural Network-Based Building-Damage Assessment from Satellite Imagery: Perspective from Benchmark xBD Dataset
* Techniques for Constructing Indoor Navigation Systems for the Visually Impaired: A Review
* Technologies for the Visually Impaired
* Temporal Action Proposal Generation Via Deep Feature Enhancement
* Temporal Coherence or Temporal Motion: Which Is More Critical for Video-based Person Re-identification?
* Temporal Complementary Learning for Video Person Re-identification
* Temporal Distinct Representation Learning for Action Recognition
* Temporal Gravity Signals in Reprocessed GOCE Gravitational Gradients
* Temporal Hierarchical Dictionary Guided Decoding for Online Gesture Segmentation and Recognition
* Temporal Keypoint Matching and Refinement Network for Pose Estimation and Tracking
* Temporal Pre-Filter For Video Coding Based On Bilateral Filtering, A
* Temporally Consistent Depth Prediction With Flow-Guided Memory Units
* Temporally Refined Graph U-Nets for Human Shape and Pose Estimation From Monocular Videos
* Tenet: Triple Excitation Network for Video Salient Object Detection
* Tensor Low-rank Reconstruction for Semantic Segmentation
* Tensor-Based Light Field Denoising By Exploiting Non-Local Similarities Across Multiple Resolutions
* Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction
* Texmesh: Reconstructing Detailed Human Texture and Geometry from RGB-D Video
* Text Encryption: Hybrid cryptographic method using Vigenere and Hill Ciphers.
* Textcaps: A Dataset for Image Captioning with Reading Comprehension
* TextMountain: Accurate scene text detection via instance segmentation
* Texture Hallucination for Large-factor Painting Super-resolution
* TF-NAS: Rethinking Three Search Freedoms of Latency-constrained Differentiable Neural Architecture Search
* Thanks for Nothing: Predicting Zero-valued Activations with Lightweight Convolutional Neural Networks
* Theoretical Concept for a Mobile Underwater Radio-Navigation System Using Pseudolite Buoys
* Thirty Years of Land Cover and Fraction Cover Changes over the Sudano-Sahel Using Landsat Time Series
* Time series of remote sensing and water deficit to predict the occurrence of soil water repellency in New Zealand pastures
* Tiny-Hourglassnet: An Efficient Design For 3d Human Pose Estimation
* TJU-DHD: A Diverse High-Resolution Dataset for Object Detection
* TNLRS: Target-Aware Non-Local Low-Rank Modeling With Saliency Filtering Regularization for Infrared Small Target Detection
* TopoAL: An Adversarial Learning Approach for Topology-aware Road Segmentation
* Topology-preserving Class-incremental Learning
* Toward Classification of Arabic Manuscripts Words Based on the Deep Convolutional Neural Networks
* Toward Faster and Simpler Matrix Normalization via Rank-1 Update
* Toward Fine-grained Facial Expression Manipulation
* Toward Reliable Models For Authenticating Multimedia Content: Detecting Resampling Artifacts With Bayesian Neural Networks
* Toward Unsupervised, Multi-object Discovery in Large-scale Image Collections
* Towards A Live Software Decoder Implementation For The Upcoming Versatile Video Coding (VVC) Codec
* Towards a semantic recommender system for cultural objects: Case study Draa-Tafilalet region
* Towards Adaptive Semantic Segmentation By Progressive Feature Refinement
* Towards Automated Testing and Robustification by Semantic Adversarial Data Generation
* Towards Content-independent Multi-reference Super-resolution: Adaptive Pattern Matching and Feature Aggregation
* Towards Cooperative Global Mapping of the Ionosphere: Fusion Feasibility for IGS and IRI with Global Climate VTEC Maps
* Towards Domain Generalization In Underwater Object Detection
* Towards Fast, Accurate and Stable 3d Dense Face Alignment
* Towards Generalization Across Depth for Monocular 3d Object Detection
* Towards Human-Like Interpretable Object Detection Via Spatial Relation Encoding
* Towards More Efficient And Effective Inference: The Joint Decision Of Multi-Participants
* Towards Non-I.I.D. image classification: A dataset and baselines
* Towards Practical and Efficient High-resolution HDR Deghosting with CNN
* Towards Real-time Multi-object Tracking
* Towards Recognizing Unseen Categories in Unseen Domains
* Towards Reliable Evaluation of Algorithms for Road Network Reconstruction from Aerial Images
* Towards Streaming Perception
* Towards Unique and Informative Captioning of Images
* Towards Visual Saliency Computation on 3D Graphical Contents for Interactive Visualization
* TP-LSD: Tri-points Based Line Segment Detector
* TPN: Topological Perception Network For 3d Mesh Representation
* Trace Quotient with Sparsity Priors for Learning Low Dimensional Image Representations
* Track: a Multi-Modal Deep Architecture for Head Motion Prediction in 360° Videos
* Tracking a human being via the gray local dissimilarity map
* Tracking Dynamics of Opinion Behaviors with a Content-Based Sequential Opinion Influence Model
* Tracking Emerges by Looking Around Static Scenes, with Neural 3d Mapping
* Tracking Hundreds of People in Densely Crowded Scenes With Particle Filtering Supervising Deep Convolutional Neural Networks
* Tracking Objects as Points
* Tradi: Tracking Deep Neural Network Weight Distributions
* Traditional Method Inspired Deep Neural Network For Edge Detection
* Traffic Accident Benchmark for Causality Recognition
* Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting
* Training CNNs on speckled optical dataset for edge detection in SAR images
* Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters
* Training With Cache: Specializing Object Detectors From Live Streams Without Overfitting
* Transductive Prototypical Network For Few-Shot Classification
* Transfer Learning For Videos: From Action Recognition To Sign Language Recognition
* Transforming and Projecting Images into Class-conditional Generative Networks
* Transporting Labels via Hierarchical Optimal Transport for Semi-supervised Learning
* Tree Species Classification and Health Status Assessment for a Mixed Broadleaf-Conifer Forest with UAS Multispectral Imaging
* Triple Attention For Robust Video Crowd Counting
* Triplet Distillation For Deep Face Recognition
* Tropical Cyclone Climatology from Satellite Passive Microwave Measurements
* TRRNET: Tiered Relation Reasoning for Compositional Visual Question Answering
* Truncated Inference for Latent Variable Optimization Problems: Application to Robust Estimation and Learning
* TTTS-STgan: Stacked Generative Adversarial Networks for TTTS Fetal Surgery Planning Based on 3D Ultrasound
* TUIGAN: Learning Versatile Image-to-image Translation with Two Unpaired Images
* Turbidity Estimation from GOCI Satellite Data in the Turbid Estuaries of China's Coast
* TVR: A Large-scale Dataset for Video-subtitle Moment Retrieval
* Two-branch Recurrent Network for Isolating Deepfakes in Videos
* Two-Dimensional Fingertip Force Training With Improved Haptic Sensation via Stochastic Resonance
* Two-Dimensional Simulation of Barley Growth and Yield Using a Model Integrated with Remote-Controlled Aerial Imagery
* Two-phase Pseudo Label Densification for Self-training Based Domain Adaptation
* Two-Stage Triplet Network Training Framework for Image Retrieval, A
* Two-Step Progressive Intra Prediction For Versatile Video Coding
* Two-stream Consensus Network for Weakly-supervised Temporal Action Localization
* Type I Attack For Generative Models
* UAV Laser Scans Allow Detection of Morphological Changes in Tree Canopy
* UAV Maneuvering Target Tracking in Uncertain Environments Based on Deep Reinforcement Learning and Meta-Learning
* UAV-Derived Data Application for Environmental Monitoring of the Coastal Area of Lake Sevan, Armenia with a Changing Water Level
* Ufo2: A Unified Framework Towards Omni-supervised Object Detection
* Ultrasound And Magnetic Resonance Image Fusion Using A Patch-Wise Polynomial Model
* Uncertainty Analysis of Object-Based Land-Cover Classification Using Sentinel-2 Time-Series Data
* Uncertainty and Overfitting in Fluvial Landform Classification Using Laser Scanned Data and Machine Learning: A Comparison of Pixel and Object-Based Approaches
* Uncertainty-aware Weakly Supervised Action Detection from Untrimmed Videos
* Unconstrained Facial Expression Recognition Based on Feature Enhanced CNN and Cross-Layer LSTM
* Unconstrained Periocular Recognition: Using Generative Deep Learning Frameworks for Attribute Normalization
* Underdetermined DOA Estimation via Covariance Matrix Completion for Nested Sparse Circular Array in Nonuniform Noise
* Understanding adversarial attacks on deep learning based medical image analysis systems
* Understanding the synergies of deep learning and data fusion of multispectral and panchromatic high resolution commercial satellite imagery for automated ice-wedge polygon detection
* Underwater Image Dehazing Using The Color Space Dimensionality Reduction Prior
* Unified Cross-domain Classification via Geometric and Statistical Adaptations
* Unified Framework for Shot Type Classification Based on Subject Centric Lens, A
* Unified Image and Video Saliency Modeling
* Unified Lateral Preview Driver Model for Road Vehicles, A
* Unified Secondary Transform for Intra Coding Beyond AV1
* Unifying Deep Local and Global Features for Image Search
* Unifying Mutual Information View of Metric Learning: Cross-entropy vs. Pairwise Losses, A
* Uniondet: Union-level Detector Towards Real-time Human-object Interaction Detection
* Universal Adversarial Attack Via Enhanced Projected Gradient Descent
* Universal adversarial perturbations against object detection
* Universal Technique for Analysing Discrete Super-Resolution Algorithms, A
* Unknown Class Label Cleaning For Learning With Open-Set Noisy Labels
* Unpaired Image Denoising
* Unpaired Image-To-Image Shape Translation Across Fashion Data
* Unpaired Image-to-image Translation Using Adversarial Consistency Loss
* Unpaired Learning of Deep Image Denoising
* Unplanned Natural Experiments: The Case of Remote Sensing of Primary Production and Its Environmental Correlations in the Negev
* Unpriortized Autoencoder For Image Generation
* Unselfie: Translating Selfies to Neutral-pose Portraits in the Wild
* Unsupervised 3d Human Pose Representation with Viewpoint and Pose Disentanglement
* Unsupervised Change Detection Using Spectrum-Trend and Shape Similarity Measure
* Unsupervised Conditional Disentangle Network For Image Dehazing
* Unsupervised Cross-Media Retrieval Using Domain Adaptation With Scene Graph
* Unsupervised Cross-modal Alignment for Multi-person 3d Pose Estimation
* Unsupervised Deep Metric Learning with Transformed Attention Consistency and Contrastive Clustering Loss
* Unsupervised Domain Adaptation for Semantic Segmentation of NIR Images Through Generative Latent Search
* Unsupervised Domain Adaptation in the Dissimilarity Space for Person Re-identification
* Unsupervised Domain Adaptation with Noise Resistible Mutual-training for Person Re-identification
* Unsupervised Domain Attention Adaptation Network for Caricature Attribute Recognition
* Unsupervised End-To-End Groupwise Registration Framework Without Generating Templates
* Unsupervised Image Decomposition in Vector Layers
* Unsupervised Image-Adapted Local Fisher Discriminant Analysis to Reduce Hyperspectral Images Without Ground Truth
* Unsupervised Learning From Limited Available Data by ß-NMF and Dual Autoencoder
* Unsupervised Learning of Category-specific Symmetric 3d Keypoints from Point Sets
* Unsupervised Monocular Depth Estimation for Night-time Images Using Adversarial Domain Feature Adaptation
* Unsupervised Multi-view CNN for Salient View Selection of 3D Objects and Scenes
* Unsupervised Pre-Trained, Texture Aware and Lightweight Model for Deep Learning Based Iris Recognition Under Limited Annotated Data
* Unsupervised scene adaptation for semantic segmentation of urban mobile laser scanning point clouds
* Unsupervised Shape and Pose Disentanglement for 3d Meshes
* Unsupervised text-to-image synthesis
* Unsupervised Urban Extent Extraction Method from NPP-VIIRS Nighttime Light Data, An
* Unsupervised Video Object Segmentation with Joint Hotspot Tracking
* Unsupervised Visual Relationship Inference
* Upright Adjustment With Graph Convolutional Networks
* Urban 3D imaging using airborne TomoSAR: Contextual information-based approach in the statistical way
* URIE: Universal Image Enhancement for Visual Recognition in the Wild
* Urvos: Unified Referring Video Object Segmentation Network with a Large-scale Benchmark
* Use of a Satellite-Based Aridity Index to Monitor Decreased Soil Water Content and Grass Growth in Grasslands of North-East Asia
* Use of an Active Canopy Sensor Mounted on an Unmanned Aerial Vehicle to Monitor the Growth and Nitrogen Status of Winter Wheat
* Using Band Subset Selection For Dimensionality Reduction In Superpixel Segmentation Of Hyperspectral Imagery
* Using Cell Phone Pictures of Sheet Music To Retrieve MIDI Passages
* Using hyperspectral plant traits linked to photosynthetic efficiency to assess N and P partition
* Using SPOT Data and FRAGSTAS to Analyze the Relationship between Plant Diversity and Green Space Landscape Patterns in the Tropical Coastal City of Zhanjiang, China
* Utilizing Patch-level Category Activation Patterns for Multiple Class Novelty Detection
* V-Museum: A Virtual Museum Based on Augmented and Virtual Realities for Cultural Heritage Mediation
* V2vnet: Vehicle-to-vehicle Communication for Joint Perception and Prediction
* Validation and Calibration of CAMS PM2.5 Forecasts Using In Situ PM2.5 Measurements in China and United States
* Validation of Close-Range Photogrammetry for Architectural and Archaeological Heritage: Analysis of Point Density and 3D Mesh Geometry
* Validation of Satellite Sea Surface Temperatures and Long-Term Trends in Korean Coastal Regions over Past Decades (1982-2018)
* Variational Auto-Encoders Without Graph Coarsening For Fine Mesh Learning
* Variational Autoencoder Based Unsupervised Domain Adaptation For Semantic Segmentation
* Variational Connectionist Temporal Classification
* Variational Diffusion Autoencoders with Random Walk Sampling
* Variational Encoder-Based Reliable Classification
* Varsr: Variational Super-resolution Network for Very Low Resolution Images
* VC-VQA: Visual Calibration Mechanism For Visual Question Answering
* Vcnet: A Robust Approach to Blind Image Inpainting
* Vectorizing World Buildings: Planar Graph Reconstruction by Primitive Detection and Relationship Inference
* Vehicle counting and traffic flow parameter estimation for dense traffic scenes
* Vehicular Named Data Networking Framework
* Vein-Based Biometric Verification Using Densely-Connected Convolutional Autoencoder
* Versatile Video Coding Of 360° Video Using Adaptive Resolution Change
* Vertical Accuracy of Freely Available Global Digital Elevation Models (ASTER, AW3D30, MERIT, TanDEM-X, SRTM, and NASADEM)
* Vessel-Net: A Vessel-Aware Ensemble Network For Retinopathy Screening From Fundus Image
* Video Frame Interpolation and Enhancement via Pyramid Recurrent Framework
* Video Logo Retrieval Based on Local Features
* Video Object Detection via Object-level Temporal Aggregation
* Video Representation Learning by Recognizing Temporal Transformations
* Video scene parsing: An overview of deep learning methods and datasets
* Video Summarization with Anchors and Multi-Head Attention
* Video super-resolution based on a spatio-temporal matching network
* Video-Based Coding Of Volumetric Data
* Video-based Remote Physiological Measurement via Cross-verified Feature Disentangling
* View-invariant Probabilistic Embedding for Human Pose
* Virtual sample-based deep metric learning using discriminant analysis
* Vis-NIR Spectroscopy and Satellite Landsat-8 OLI Data to Map Soil Nutrients in Arid Conditions: A Case Study of the Northwest Coast of Egypt
* Viscosity Solution for Hamilton Jacobi Travel Time Dynamics, The
* Visual Compositional Learning for Human-object Interaction Detection
* Visual Memorability for Robotic Interestingness via Unsupervised Online Learning
* Visual Object Tracking via Guessing and Matching
* Visual Quality Assessment of Urban Scenes with the Contemplative Landscape Model: Evidence from a Compact City Downtown Core
* Visual Question Answering on Image Sets
* Visual Relation Grounding in Videos
* Visual Relationship Classification With Negative-Sample Mining
* Visual Relationship Detection With A Deep Convolutional Relationship Network
* Visual Security Evaluation of Perceptually Encrypted Images Based on Image Importance
* Visual Tracking Via Temporally-Regularized Context-Aware Correlation Filters
* Visual-Inertial Odometry of Smartphone under Manhattan World
* Visual-relation Conscious Image Generation from Structured-text
* Visualcomet: Reasoning About the Dynamic Context of a Still Image
* Visualechoes: Spatial Image Representation Learning Through Echolocation
* VLANet: Video-language Alignment Network for Weakly-supervised Video Moment Retrieval
* Vocabulary-Informed Zero-Shot and Open-Set Learning
* Volumetric medical image compression using inter-slice correlation switched prediction approach
* Volumetric Transformer Networks
* Voxelpose: Towards Multi-camera 3d Human Pose Estimation in Wild Environment
* Vpn: Learning Video-Pose Embedding for Activities of Daily Living
* VQA-LOL: Visual Question Answering Under the Lens of Logic
* Water clarity changes in 64 large alpine lakes on the Tibetan Plateau and the potential responses to lake expansion
* Water Quality Anomalies following the 2017 Hurricanes in Southwestern Puerto Rico: Absorption of Colored Detrital and Dissolved Material
* Wavelet Channel Attention Module With A Fusion Network For Single Image Deraining
* Wavelet Scattering Network-Based Machine Learning for Ground Penetrating Radar Imaging: Application in Pipeline Identification
* Wavelet-based Dual-branch Network for Image Demoiréing
* Weakly Supervised 3d Hand Pose Estimation via Biomechanical Constraints
* Weakly Supervised 3d Human Pose and Shape Reconstruction with Normalizing Flows
* Weakly Supervised 3d Object Detection from Lidar Point Cloud
* Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images
* Weakly Supervised Instance Segmentation by Learning Annotation Consistent Instances
* Weakly Supervised Semantic Segmentation with Boundary Exploration
* Weakly-supervised 3d Shape Completion in the Wild
* Weakly-supervised Crowd Counting Learns from Sorting Rather Than Locations
* Weakly-Supervised Defect Segmentation Within Visual Inspection Images of Liquid Crystal Displays in Array Process
* Weakly-supervised Learning of Human Dynamics
* Weather Types Affect Rain Microstructure: Implications for Estimating Rain Rate
* Webly Supervised Image Classification with Self-Contained Confidence
* Weighing Counts: Sequential Crowd Counting by Reinforcement Learning
* Weight Decay Scheduling and Knowledge Distillation for Active Learning
* Weighted Low-Rank Tensor Recovery for Hyperspectral Image Restoration
* WeightNet: Revisiting the Design Space of Weight Networks
* What Is Learned in Deep Uncalibrated Photometric Stereo?
* What Makes Fake Images Detectable? Understanding Properties that Generalize
* What Matters in Unsupervised Optical Flow
* Wheat Diseases Classification and Localization Using Convolutional Neural Networks and GradCAM Visualization
* When Does Self-supervision Improve Few-shot Learning?
* When security games hit traffic: A deployed optimal traffic enforcement system
* Where Is The Emotion? Dissecting A Multi-Gap Network For Image Emotion Classification
* Where Is The Fake? Patch-Wise Supervised GANS For Texture Inpainting
* Who are My Family Members? A Solution Based on Image Processing and Machine Learning
* Who Left the Dogs Out? 3d Animal Reconstruction with Expectation Maximization in the Loop
* Whole-body Human Pose Estimation in the Wild
* Why Are Deep Representations Good Perceptual Quality Features?
* Why Do These Match? Explaining the Behavior of Image Similarity Models
* Why implement continuity plans in Organizations? Approach of a prospective study based on ITIL
* Wild animal survey using UAS imagery and deep learning: modified Faster R-CNN for kiang detection in Tibetan Plateau
* Wildfire Smoke Particle Properties and Evolution, From Space-Based Multi-Angle Imaging II: The Williams Flats Fire during the FIREX-AQ Campaign
* Wildfire-Detection Method Using DenseNet and CycleGAN Data Augmentation-Based Remote Camera Imagery
* Winter Wheat Nitrogen Status Estimation Using UAV-Based RGB Imagery and Gaussian Processes Regression
* WordNet and Wiki Based Approach for Finding Polysemy Tags in a Tag Set
* World-Consistent Video-to-Video Synthesis
* X-NET For Single Image Raindrop Removal
* XingGAN for Person Image Generation
* Yoco: Light-Weight Rate Control Model Learning
* Yolo in the Dark: Domain Adaptation Method for Merging Multiple Models
* You Are Here: Geolocation by Embedding Maps and Images
* You Only Need The Image: Unsupervised Few-Shot Semantic Segmentation With Co-Guidance Network
* Zero-shot Image Super-resolution with Depth Guided Internal Degradation Learning
* Zoom in to the Details of Human-Centric Videos
2745 for 2011

Index for "2"


Last update: 2-Aug-21 20:56:01
Use price@usc.edu for comments.