Update Dates 2002

2002 * *TEASER++: Certifiable 3D Registration
* 2.5D Visual Sound
* 3D APA-Net: 3D Adversarial Pyramid Anisotropic Convolutional Network for Prostate Segmentation in MR Images
* 3D Appearance Super-Resolution With Deep Learning
* 3D Convolutional Neural Network based on memristor for video recognition
* 3D Guided Fine-Grained Face Manipulation
* 3D Hand Shape and Pose Estimation From a Single RGB Image
* 3D Hand Shape and Pose From Images in the Wild
* 3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised Training
* 3D Local Features for Direct Pairwise Registration
* 3D map-guided single indoor image localization refinement
* 3D Morphable Face Model for Face Animation
* 3D Motion Decomposition for RGBD Future Dynamic Scene Synthesis
* 3D Neuron Reconstruction in Tangled Neuronal Image With Deep Networks
* 3D Parallel Fully Convolutional Networks for Real-Time Video Wildfire Smoke Detection
* 3D Point Capsule Networks
* 3D Point Cloud Attribute Compression via Graph Prediction
* 3D Point Cloud Denoising Using Graph Laplacian Regularization of a Low Dimensional Manifold Model
* 3D Shape Reconstruction From Images in the Frequency Domain
* 3D Simplification Methods and Large Scale Terrain Tiling
* 3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans
* 3DN: 3D Deformation Network
* 4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
* A-CNN: Annularly Convolutional Neural Networks on Point Clouds
* AANet: Attribute Attention Network for Person Re-Identifications
* ABC: A Big CAD Model Dataset for Geometric Deep Learning
* Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video
* Accelerating Convolutional Neural Networks via Activation Map Compression
* Accurate derivation of stem curve and volume using backpack mobile laser scanning
* Acoustic Non-Line-Of-Sight Imaging
* Action Recognition From Single Timestamp Supervision in Untrimmed Videos
* Action4D: Online Action Recognition in the Crowd and Clutter
* Actional-Structural Graph Convolutional Networks for Skeleton-Based Action Recognition
* Actively Seeking and Learning From Live Data
* Activity Driven Weakly Supervised Object Detection
* Actor-Critic Instance Segmentation
* AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations
* AdaFrame: Adaptive Frame Selection for Fast Video Recognition
* AdaGraph: Unifying Predictive and Continuous Domain Adaptation Through Graphs
* Adapting Object Detectors via Selective Cross-Domain Alignment
* Adaptive Confidence Smoothing for Generalized Zero-Shot Learning
* Adaptive Discriminative Deep Correlation Filter for Visual Object Tracking
* Adaptive Group-Based Zero Knowledge Proof-Authentication Protocol in Vehicular Ad Hoc Networks
* Adaptive Importance Learning for Improving Lightweight Image Super-Resolution Network
* Adaptive Locality Preserving Regression
* Adaptive multi-view subspace clustering for high-dimensional data
* Adaptive NMS: Refining Pedestrian Detection in a Crowd
* Adaptive Pyramid Context Network for Semantic Segmentation
* Adaptive Transfer Network for Cross-Domain Person Re-Identification
* Adaptive Weighting Multi-Field-Of-View CNN for Semantic Segmentation in Pathology
* AdaptiveFace: Adaptive Margin and Sampling for Face Recognition
* Adaptively Connected Neural Networks
* ADCrowdNet: An Attention-Injective Deformable Convolutional Network for Crowd Understanding
* Additive Adversarial Learning for Unbiased Authentication
* ADMM-CSNet: A Deep Learning Approach for Image Compressive Sensing
* ADN for object detection
* Adrenal tumor characterization on magnetic resonance images
* Advances in Position Based Routing Towards ITS Enabled FoG-Oriented VANET: A Survey
* Advancing High-Throughput Phenotyping of Wheat in Early Selection Cycles
* ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
* Adversarial Action Prediction Networks
* Adversarial Attacks Beyond the Image Space
* Adversarial Defense by Stratified Convolutional Sparse Coding
* Adversarial Defense Through Network Profiling Based Path Extraction
* Adversarial Inference for Multi-Sentence Video Description
* Adversarial Learning for Joint Optimization of Depth and Ego-Motion
* Adversarial Semantic Alignment for Improved Image Captions
* Adversarial Structure Matching for Structured Prediction Tasks
* AE2-Nets: Autoencoder in Autoencoder Networks
* Aerial image semantic segmentation using DCNN predicted distance maps
* AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations Rather Than Data
* Aggregation Cross-Entropy for Sequence Recognition
* Agricultural Drought Assessment in East Asia Using Satellite-Based Indices
* Aircraft Wetland Inundation Experiment Using GNSS Reflectometry, An
* AIRD: Adversarial Learning Framework for Image Repurposing Detection
* Alignment of the Spheres: Globally-Optimal Spherical Mixture Alignment for Camera Pose Estimation, The
* All About Structure: Adapting Structural Information Across Domains for Boosting Semantic Segmentation
* All You Need Is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification
* All-Pass Filter Design Using Blaschke Interpolation
* All-sky longwave downward radiation from satellite measurements: General parameterizations based on LST, column water vapor and cloud top temperature
* All-Weather Deep Outdoor Lighting Estimation
* Alternative Deep Feature Approach to Line Level Keyword Spotting, An
* Amodal Instance Segmentation With KINS Dataset
* Analyses of Namibian Seasonal Salt Pan Crust Dynamics and Climatic Drivers Using Landsat 8 Time-Series and Ground Data
* Analysis of Feature Visibility in Non-Line-Of-Sight Measurements
* Analysis of the Spatiotemporal Change in Land Surface Temperature for a Long-Term Sequence in Africa (2003-2017)
* Animating Arbitrary Objects via Deep Motion Transfer
* Annotating semantic tags of locations in location-based social networks
* Annual Large-Scale Urban Land Mapping Based on Landsat Time Series in Google Earth Engine and OpenStreetMap Data: A Case Study in the Middle Yangtze River Basin
* Answer Them All! Toward Universal Visual Question Answering Models
* AOGNets: Compositional Grammatical Architectures for Deep Learning
* APDrawingGAN: Generating Artistic Portrait Drawings From Face Photos With Hierarchical GANs
* ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving
* Application of Beamforming Technology in Ionospheric Oblique Backscatter Sounding with a Miniaturized L-Array
* Application of DINCAE to Reconstruct the Gaps in Chlorophyll-a Satellite Observations in the South China Sea and West Philippine Sea
* Application of random elements in ISS
* Application of Shore-Based Video and Unmanned Aerial Vehicles (Drones): Complementary Tools for Beach Studies
* application-driven LOD modeling paradigm for 3D building models, An
* ARBEE: Towards Automated Recognition of Bodily Expression of Emotion in the Wild
* Arbitrarily Shaped Scene Text Detection With a Mask Tightness Text Detector
* Arbitrary Shape Scene Text Detection With Adaptive Text Region Representation
* Arbitrary Style Transfer With Style-Attentional Networks
* Arc Adjacency Matrix-Based Fast Ellipse Detection
* ArcFace: Additive Angular Margin Loss for Deep Face Recognition
* Area-Efficient Variable-Size Fixed-Point DCT Architecture for HEVC Encoding, An
* Argoverse: 3D Tracking and Forecasting With Rich Maps
* Arm Motion Classification Using Time-Series Analysis of the Spectrogram Frequency Envelopes
* Art2Real: Unfolding the Reality of Artworks via Semantically-Aware Image-To-Image Translation
* Artificial Light at Night is Related to Broad-Scale Stopover Distributions of Nocturnally Migrating Landbirds along the Yucatan Peninsula, Mexico
* Asbestos-Cement Roofing Identification Using Remote Sensing and Convolutional Neural Networks (CNNs)
* Assessing Personally Perceived Image Quality via Image Features and Collaborative Filtering
* Assessing the Impact of GNSS ZTD Data Assimilation into the WRF Modeling System during High-Impact Rainfall Events over Greece
* Assessing the Impact of Tides and Atmospheric Fronts on Submesoscale Physical and Bio-Optical Distributions near a Coastal Convergence Zone
* Assessing the Performance of Methods for Monitoring Ice Phenology of the World's Largest High Arctic Lake Using High-Density Time Series Analysis of Sentinel-1 Data
* Assessment of a Proximal Sensing-integrated Crop Model for Simulation of Soybean Growth and Yield
* Assessment of Faster R-CNN in Man-Machine Collaborative Search
* Assessment of Multi-Scale SMOS and SMAP Soil Moisture Products across the Iberian Peninsula
* Assessment of the GOCE High-Level Processing Facility (HPF) Released Global Geopotential Models with Regional Test Results in Turkey, An
* Assessment of UAV-Onboard Multispectral Sensor for Non-Destructive Site-Specific Rapeseed Crop Phenotype Variable at Different Phenological Stages and Resolutions
* Assessment of Using Remote Sensing-based Models to Estimate Ground Surface Soil Heat Flux on the Tibetan Plateau during the Freeze-thaw Process, An
* Assisted Excitation of Activations: A Learning Technique to Improve Object Detectors
* Associatively Segmenting Instances and Semantics in Point Clouds
* Atlas of Digital Pathology: A Generalized Hierarchical Histological Tissue Type-Annotated Database for Deep Learning
* ATOM: Accurate Tracking by Overlap Maximization
* Attending to Discriminative Certainty for Domain Adaptation
* Attention Based Glaucoma Detection: A Large-Scale Database and CNN Model
* Attention Branch Network: Learning of Attention Mechanism for Visual Explanation
* Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition, An
* Attention-Aware Multi-Stroke Style Transfer
* Attention-Based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions
* Attention-Based Dropout Layer for Weakly Supervised Object Localization
* Attention-Based Residual Network with Scattering Transform Features for Hyperspectral Unmixing with Limited Training Samples
* Attention-Guided Network for Ghost-Free High Dynamic Range Imaging
* Attention-Guided Unified Network for Panoptic Segmentation
* Attentive Feedback Network for Boundary-Aware Salient Object Detection
* Attentive Region Embedding Network for Zero-Shot Learning
* Attentive Relational Networks for Mapping Images to Scene Graphs
* Attentive Single-Tasking of Multiple Tasks
* Attribute-Aware Face Aging With Wavelet-Based Generative Adversarial Networks
* Attribute-Driven Feature Disentangling and Temporal Aggregation for Video Person Re-Identification
* Audio Visual Scene-Aware Dialog
* Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation
* Auto-Encoding Scene Graphs for Image Captioning
* AutoAugment: Learning Augmentation Strategies From Data
* Automated diabetic retinopathy grading and lesion detection based on the modified R-FCN object-detection algorithm
* Automated Method for Surface Ice/Snow Mapping Based on Objects and Pixels from Landsat Imagery in a Mountainous Region, An
* automated methodology for the classification of focal and nonfocal EEG signals using a hybrid classification approach, An
* Automated Resistivity Profiling (ARP) to Explore Wide Archaeological Areas: The Prehistoric Site of Monte Prama, Sardinia, Italy
* Automatic Adaptation of Object Detectors to New Domains Using Self-Training
* Automatic Cataract Classification Using Deep Neural Network With Discrete State Transition
* Automatic Detection of Near-Surface Targets for Unmanned Aerial Vehicle (UAV) Magnetic Survey
* Automatic drug pills detection based on enhanced feature pyramid network and convolution neural networks
* Automatic Face Aging in Videos via Deep Reinforcement Learning
* Automatic Mapping of Center Line of Railway Tracks using Global Navigation Satellite System, Inertial Measurement Unit and Laser Scanner
* Automatic Mapping of Center Pivot Irrigation Systems from Satellite Images Using Deep Learning
* Automatic thresholding using a modified valley emphasis
* Automating RTI: Automatic light direction detection and correcting non-uniform lighting for more accurate surface normals
* Autonomous Selective Parts-Based Tracking
* BAD SLAM: Bundle Adjusted Direct RGB-D SLAM
* Bag of Tricks for Image Classification with Convolutional Neural Networks
* Balanced Self-Paced Learning for Generative Adversarial Clustering Network
* Barrage of Random Transforms for Adversarially Robust Defense
* BASNet: Boundary-Aware Salient Object Detection
* Bayesian Hierarchical Dynamic Model for Human Action Recognition
* Bayesian inference framework for bounded generalized Gaussian-based mixture model and its application to biomedical images classification
* Bayesian Perspective on the Deep Image Prior, A
* Bayesian query expansion for multi-camera person re-identification
* Bayesian Reference Model for Visual Time-Sharing Behaviour in Manual and Automated Naturalistic Driving, A
* BeautyGlow: On-Demand Makeup Transfer Framework With Reversible Generative Network
* Beyond Gradient Descent for Regularized Segmentation Losses
* Beyond Tracking: Selecting Memory and Refining Poses for Deep Visual Odometry
* Beyond Volumetric Albedo: A Surface Optimization Framework for Non-Line-Of-Sight Imaging
* Bi-Directional Cascade Network for Perceptual Edge Detection
* Bi-Directional Dermoscopic Feature Learning and Multi-Scale Consistent Decision Fusion for Skin Lesion Segmentation
* Bi-Real Net: Binarizing Deep Network Towards Real-Network Performance
* Bidirectional Learning for Domain Adaptation of Semantic Segmentation
* Bidirectional Segmented Detection of Land Use Change Based on Object-Level Multivariate Time Series
* Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction
* Bilinear Supervised Hashing Based on 2D Image Features
* Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?
* Bioinspired Computational Intelligence and Transportation Systems: A Long Road Ahead
* Biologically-Constrained Graphs for Global Connectomics Reconstruction
* blended census and multiscale remote sensing approach to probabilistic cropland mapping in complex landscapes, A
* Blending-Target Domain Adaptation by Adversarial Meta-Adaptation Networks
* Blind Geometric Distortion Correction on Images Through Deep Learning
* Blind Image Deblurring With Local Maximum Gradient Prior
* Blind Image Quality Assessment Using a Deep Bilinear Convolutional Neural Network
* Blind Quality Metric for Contrast-Distorted Images Based on Eigendecomposition of Color Histograms
* Blind Super-Resolution With Iterative Kernel Correction
* Blind Visual Motif Removal From a Single Image
* Blood Glucose Level Monitoring Using an FMCW Millimeter-Wave Radar Sensor
* BM3D-GT&AD: an improved BM3D denoising algorithm based on Gaussian threshold and angular distance
* Boosting Local Shape Matching for Dense 3D Face Correspondence
* Bottom-Up Object Detection by Grouping Extreme and Center Points
* Bounding Box Regression With Uncertainty for Accurate Object Detection
* Box-Driven Class-Wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation
* BridgeNet: A Continuity-Aware Probabilistic Network for Age Estimation
* Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence
* Bringing a Blurry Frame Alive at High Frame-Rate With an Event Camera
* Bringing Alive Blurred Moments
* Bringing Earth Observation to Schools with Digital Integrated Learning Environments
* Broad-Scale Weather Patterns Encountered during Flight Influence Landbird Stopover Distributions
* BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames
* Building Detail-Sensitive Semantic Segmentation Networks With Polynomial Pooling
* Building Efficient Deep Neural Networks With Unitary Group Convolutions
* Building hierarchical structures for 3D scenes with repeated elements
* C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection
* C2AE: Class Conditioned Auto-Encoder for Open-Set Recognition
* C3AE: Exploring the Limits of Compact Model for Age Estimation
* CAD: concatenated action descriptor for one and two person(s), using silhouette and silhouette's skeleton
* CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth
* Camera Lens Super-Resolution
* Can Remote Sensing Technologies Capture the Extreme Precipitation Event and Its Cascading Hydrological Response? A Case Study of Hurricane Harvey Using EF5 Modeling Framework
* Candidate-based matching of 3-D point clouds with axially switching pose estimation
* CANet: Class-Agnostic Segmentation Networks With Iterative Refinement and Attentive Few-Shot Learning
* CapSal: Leveraging Captioning to Boost Semantics for Salient Object Detection
* Capture, Learning, and Synthesis of 3D Speaking Styles
* Carbon Dynamics in a Human-Modified Tropical Forest: A Case Study Using Multi-Temporal LiDAR Data
* Carbon Dynamics in the Northeastern Qinghai-Tibetan Plateau from 1990 to 2030 Using Landsat Land Use/Cover Change Data
* Cascade multi-head attention networks for action recognition
* Cascaded Generative and Discriminative Learning for Microcalcification Detection in Breast Mammograms
* Cascaded Partial Decoder for Fast and Accurate Salient Object Detection
* Cascaded Projection: End-To-End Network Compression and Acceleration
* Cascaded Stripe Memory Engines for Multi-Scale Object Detection in FPGA
* Catastrophic Child's Play: Easy to Perform, Hard to Defend Adversarial Attacks
* Catching Geomorphological Response to Volcanic Activity on Steep Slope Volcanoes Using Multi-Platform Remote Sensing
* Causes and Corrections for Bimodal Multi-Path Scanning With Structured Light
* CDPM: Convolutional Deformable Part Models for Semantically Aligned Person Re-Identification
* Centripetal SGD for Pruning Very Deep Convolutional Networks With Complicated Structure
* ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation
* Character Region Awareness for Text Detection
* Characteristics of Coastline Changes on Southeast Asia Islands from 2000 to 2015
* Characterizing and Avoiding Negative Transfer
* Characterizing Uncertainty in Forest Remote Sensing Studies
* Circulant Binary Convolutional Networks: Enhancing the Performance of 1-Bit DCNNs With Circulant Back Propagation
* CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification
* Class-Balanced Loss Based on Effective Number of Samples
* Classification of basic artistic media based on a deep convolutional approach
* Classification of Hyperspectral Image Based on Double-Branch Dual-Attention Mechanism Network
* Classification of mammogram images using the energy probability in frequency domain and most discriminative power coefficients
* Classification-Reconstruction Learning for Open-Set Recognition
* Classifier and Exemplar Synthesis for Zero-Shot Learning
* CLEVR-Ref+: Diagnosing Visual Reasoning With Referring Expressions
* Cloud Computing-Based Analyses to Predict Vehicle Driving Shockwave for Active Safe Driving in Intelligent Transportation System
* Cloud Detection Approach Based on Hybrid Multispectral Features with Dynamic Thresholds for GF-1 Remote Sensing Images, A
* Cloud Detection Based on High Resolution Stereo Pairs of the Geostationary Meteosat Images
* ClusterNet: Deep Hierarchical Cluster Network With Rigorously Rotation-Invariant Representation for Point Cloud Analysis
* CNN-Based Multiple Path Search for Action Tube Detection in Videos
* Co-Occurrence Neural Network
* Co-Occurrent Features in Semantic Segmentation
* Co-Saliency Detection via Mask-Guided Fully Convolutional Networks With Multi-Scale Label Smoothing
* Coast-Ship Bistatic HF Surface Wave Radar: Simulation Analysis and Experimental Verification
* Coastal Turbidity Derived From PROBA-V Global Vegetation Satellite
* COIN: A Large-Scale Dataset for Comprehensive Instructional Video Analysis
* Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images
* Collaborative Learning of Lightweight Convolutional Neural Network and Deep Clustering for Hyperspectral Image Semi-Supervised Classification with Limited Training Samples
* Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images
* Collaborative Spatiotemporal Feature Learning for Video Action Recognition
* CollaGAN: Collaborative GAN for Missing Image Data Imputation
* Collective spatial keyword search on activity trajectories
* Color-Guided Depth Image Recovery With Adaptive Data Fidelity and Transferred Graph Laplacian Regularization
* Coloring With Limited Data: Few-Shot Colorization via Memory Augmented Networks
* Combinatorial Persistency Criteria for Multicut and Max-Cut
* Combining 3D Morphable Models: A Large Scale Face-And-Head Model
* Combining Historical Remote Sensing, Digital Soil Mapping and Hydrological Modelling to Produce Solutions for Infrastructure Damage in Cosmo City, South Africa
* Combining of Multiple Deep Networks via Ensemble Generalization Loss, Based on MRI Images, for Alzheimer's Disease Classification
* ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples
* Compact Embedding for Facial Expression Similarity, A
* Compact Feature Learning for Multi-Domain Image Classification
* CompactNets: Compact Hierarchical Compositional Networks for Visual Recognition
* Comparative Assessment of Ensemble-Based Machine Learning and Maximum Likelihood Methods for Mapping Seagrass Using Sentinel-2 Imagery in Tauranga Harbor, New Zealand, A
* Comparative Research on Deep Learning Approaches for Airplane Detection from Very High-Resolution Satellite Images
* Comparison of Machine Learning Methods Applied to SAR Images for Forest Classification in Mediterranean Areas
* Comparison of monocular depth estimation methods using geometrically relevant metrics on the IBims-1 dataset
* Comparison of Support Vector Machine and Random Forest Algorithms for Invasive and Expansive Species Classification Using Airborne Hyperspectral Data
* Comparison of True-Color and Multispectral Unmanned Aerial Systems Imagery for Marine Habitat Mapping Using Object-Based Image Analysis
* Comparisons of Diurnal Variations of Land Surface Temperatures from Numerical Weather Prediction Analyses, Infrared Satellite Estimates and In Situ Measurements
* Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation
* Complete the Look: Scene-Based Complementary Product Recommendation
* Completeness Modeling and Context Separation for Weakly Supervised Temporal Action Localization
* Composing Text and Image for Image Retrieval - an Empirical Odyssey
* Comprehensive Database for Benchmarking Imaging Systems, A
* Compressing Convolutional Neural Networks via Factorized Convolutional Filters
* Compressing Unknown Images With Product Quantizer for Efficient Zero-Shot Classification
* Compressive Imaging Using RIP-Compliant CMOS Imager Architecture and Landweber Reconstruction
* Compressive Spectral Light Field Image Reconstruction via Online Tensor Representation
* Computer aided detection and diagnosis methodology for brain stroke using adaptive neuro fuzzy inference system classifier
* Conditional Adversarial Generative Flow for Controllable Image Synthesis
* Conditional Single-View Shape Generation for Multi-View Stereo Reconstruction
* Confidence Levels, Sensitivity, and the Role of Bathymetry in Coral Reef Remote Sensing
* Connecting Image Denoising and High-Level Vision Tasks via Deep Learning
* Connecting the Dots: Learning Representations for Active Monocular Depth Estimation
* Connecting Touch and Vision via Cross-Modal Prediction
* Constrained Generative Adversarial Networks for Interactive Image Generation
* ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging
* Content Authentication for Neural Imaging Pipelines: End-To-End Optimization of Photo Provenance in Complex Distribution Channels
* Content Transformation Block for Image Style Transfer, A
* Content-Aware Multi-Level Guidance for Interactive Instance Segmentation
* Context and Attribute Grounded Dense Captioning
* Context-Aware Crowd Counting
* Context-Aware Locality Measure for Inlier Pool Enrichment in Stepwise Image Registration, A
* Context-Aware Query Selection for Active Learning in Event Recognition
* Context-Aware Spatio-Recurrent Curvilinear Structure Segmentation
* Context-Aware Visual Compatibility Prediction
* Context-Reinforced Semantic Segmentation
* ContextDesc: Local Descriptor Augmentation With Cross-Modality Context
* Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection
* Contrastive Adaptation Network for Unsupervised Domain Adaptation
* Convex Relaxation for Multi-Graph Matching, A
* Convolutional Mesh Regression for Single-Image Human Shape Reconstruction
* Convolutional Neural Network With Adaptive Regularization to Classify Driving Styles on Smartphones
* Convolutional Neural Networks Can Be Deceived by Visual Illusions
* Convolutional Recurrent Network for Road Boundary Extraction
* Convolutional Relational Machine for Group Activity Recognition
* Cooperative Tile-Based 360° Panoramic Streaming in Heterogeneous Networks Using Scalable Video Coding
* Coordinate-Based Texture Inpainting for Pose-Guided Human Image Generation
* Coordinate-Free Carlsson-Weinshall Duality and Relative Multi-View Geometry
* Corner Detection Using Multi-directional Structure Tensor with Multiple Scales
* Correlation Filter Selection for Visual Tracking Using Reinforcement Learning
* Country-Scale Analysis of Methane Emissions with a High-Resolution Inverse Model Using GOSAT and Surface Observations
* Coverless real-time image information hiding based on image block matching and dense convolutional network
* CRAVES: Controlling Robotic Arm With a Vision-Based Economic System
* CrDoCo: Pixel-Level Domain Transfer With Cross-Domain Consistency
* Creative Flow+ Dataset
* CRF with deep class embedding for large scale classification
* Crop-Type Classification for Long-Term Modeling: An Integrated Remote Sensing and Machine Learning Approach
* Cross Domain Model Compression by Structurally Weight Sharing
* Cross-Atlas Convolution for Parameterization Invariant Learning on Textured Mesh Surface
* Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics
* Cross-Modal Relationship Inference for Grounding Referring Expressions
* Cross-Modal Self-Attention Network for Referring Image Segmentation
* Cross-Modality Personalization for Retrieval
* Cross-Season Correspondence Dataset for Robust Semantic Segmentation, A
* Cross-Task Weakly Supervised Learning From Instructional Videos
* CrossInfoNet: Multi-Task Information Sharing Based Hand Pose Estimation
* Crowd anomaly detection and localization using histogram of magnitude and momentum
* Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks
* CrowdPose: Efficient Crowded Scenes Pose Estimation and a New Benchmark
* Curls and Whey: Boosting Black-Box Adversarial Attacks
* Customizable Architecture Search for Semantic Segmentation
* Cycle-Consistency for Robust Visual Question Answering
* Cyclic Guidance for Weakly Supervised Joint Detection and Segmentation
* Cytokeratin-Supervised Deep Learning for Automatic Recognition of Epithelial Cells in Breast Cancers Stained for ER, PR, and Ki-67
* d-SNE: Domain Adaptation Using Stochastic Neighborhood Embedding
* D2-Net: A Trainable CNN for Joint Description and Detection of Local Features
* D3TW: Discriminative Differentiable Dynamic Time Warping for Weakly Supervised Action Alignment and Segmentation
* Dance With Flow: Two-In-One Stream Action Detection
* DARNet: Deep Active Ray Network for Building Segmentation
* Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation
* Data compression for measured heterogeneous subsurface scattering via scattering profile blending
* Data Dependent Multiscale Model for Hyperspectral Unmixing With Spectral Variability, A
* Data Representation and Learning With Graph Diffusion-Embedding Networks
* Data-Driven Neuron Allocation for Scale Aggregation Networks
* Dataset and Benchmark for Large-Scale Multi-Modal Face Anti-Spoofing, A
* DAVANet: Stereo Deblurring With View Aggregation
* DDLSTM: Dual-Domain LSTM for Cross-Dataset Action Recognition
* Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation
* Decomposition Algorithm for the Sparse Generalized Eigenvalue Problem, A
* Decorrelated Adversarial Learning for Age-Invariant Face Recognition
* Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses
* Deep Asymmetric Metric Learning via Rich Relationship Mining
* Deep Blind Video Decaptioning by Temporal Aggregation and Recurrence
* Deep ChArUco: Dark ChArUco Marker Pose Estimation
* Deep Clustering With Variational Autoencoder
* Deep convolutional BiLSTM fusion network for facial expression recognition
* Deep Defocus Map Estimation Using Domain Adaptation
* Deep Dual Relation Modeling for Egocentric Interaction Recognition
* Deep Embedding Learning With Discriminative Sampling Policy
* Deep Exemplar-Based Video Colorization
* Deep Fitting Degree Scoring Network for Monocular 3D Object Detection
* Deep Flow-Guided Video Inpainting
* Deep Geometric Prior for Surface Reconstruction
* Deep Global Generalized Gaussian Networks
* Deep HDR Imaging via A Non-Local Network
* Deep High-Resolution Representation Learning for Human Pose Estimation
* Deep Image-to-Video Adaptation and Fusion Networks for Action Recognition
* Deep Incremental Hashing Network for Efficient Image Retrieval
* Deep Insights into Convolutional Networks for Video Recognition
* Deep Learning Approach in the Discrete Cosine Transform Domain to Median Filtering Forensics, A
* Deep Learning Approach to Infer Employment Status of Passengers by Using Smart Card Data, A
* Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting
* Deep Learning for Generic Object Detection: A Survey
* Deep learning for real-time image steganalysis: a survey
* Deep Learning in Archaeological Remote Sensing: Automated Qanat Detection in the Kurdistan Region of Iraq
* Deep Learning Method to Accelerate the Disaster Response Process, A
* Deep Learning of Static and Dynamic Brain Functional Networks for Early MCI Detection
* Deep Learning-Based Drivers Emotion Classification System in Time Series Data for Remote Applications
* Deep learning-based real-time VPN encrypted traffic identification methods
* Deep Metric Learning Beyond Binary Supervision
* Deep Metric Learning to Rank
* Deep Modular Co-Attention Networks for Visual Question Answering
* Deep Multimodal Clustering for Unsupervised Audiovisual Learning
* Deep Network Interpolation for Continuous Imagery Effect Transition
* Deep Neural Network Compression by In-Parallel Pruning-Quantization
* Deep Plug-And-Play Super-Resolution for Arbitrary Blur Kernels
* Deep Reinforcement Learning of Volume-Guided Progressive View Inpainting for 3D Point Scene Completion From a Single Depth Image
* Deep representations for cross-spectral ocular biometrics
* Deep Rigid Instance Scene Flow
* Deep RNN Framework for Visual Sequential Applications
* Deep Robust Subjective Visual Property Prediction in Crowdsourcing
* Deep SAR-Net: Learning objects from signals
* Deep Single Image Camera Calibration With Radial Distortion
* Deep Sketch-Shape Hashing With Segmented 3D Stochastic Viewing
* Deep Sky Modeling for Single Image Outdoor Lighting Estimation
* Deep Spectral Clustering Using Dual Autoencoder Network
* Deep Spherical Quantization for Image Search
* Deep Stacked Hierarchical Multi-Patch Network for Image Deblurring
* Deep Supervised Cross-Modal Retrieval
* Deep Surface Normal Estimation With Hierarchical RGB-D Fusion
* Deep Transfer Learning for Multiple Class Novelty Detection
* Deep Tree Learning for Zero-Shot Face Anti-Spoofing
* Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering
* Deep Variational and Structural Hashing
* Deep Video Inpainting
* Deep Video Super-Resolution Using HR Optical Flow Estimation
* Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks
* DeepCaps: Going Deeper With Capsule Networks
* DeepCO3: Deep Instance Co-Segmentation by Co-Peak Search and Co-Saliency Detection
* Deeper and Wider Siamese Networks for Real-Time Visual Tracking
* DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images
* DeepFlux for Skeletons in the Wild
* DeepLiDAR: Deep Surface Normal Guided Depth Prediction for Outdoor Scene From Sparse LiDAR Data and Single Color Image
* DeepLight: Learning Illumination for Unconstrained Mobile Mixed Reality
* Deeply-Supervised Knowledge Synergy
* DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds
* DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
* DeepView: View Synthesis With Learned Gradient Descent
* DeepVoxels: Learning Persistent 3D Feature Embeddings
* Deepzzle: Solving Visual Jigsaw Puzzles With Deep Learning and Shortest Path Optimization
* Defending Against Adversarial Attacks by Randomized Diversification
* Defense Against Adversarial Images Using Web-Scale Nearest-Neighbor Search
* Deformable ConvNets V2: More Deformable, Better Results
* DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Multi-Scale Deep Features
* DEM Generation With a Scale Factor Using Multi-Aspect SAR Imagery Applying Radargrammetry
* Dense 3D Face Decoding Over 2500FPS: Joint Texture and Shape Convolutional Mesh Decoders
* Dense Classification and Implanting for Few-Shot Learning
* Dense Depth Posterior (DDP) From Single Image and Sparse Range
* Dense Intrinsic Appearance Flow for Human Pose Transfer
* Dense Relational Captioning: Triple-Stream Networks for Relationship-Based Captioning
* DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
* Densely Semantically Aligned Person Re-Identification
* Density Map Regression Guided Detection Network for RGB-D Crowd Counting and Localization
* Depth Coefficients for Depth Completion
* Depth From a Polarisation + RGB Stereo Pair
* Depth image super-resolution based on joint sparse coding
* Depth-Attentional Features for Single-Image Rain Removal
* Depth-Aware Video Frame Interpolation
* Describing Like Humans: On Diversity in Image Captioning
* Descriptor extraction based on a multilayer dictionary architecture for classification of natural images
* Design and Analysis of a Next-Generation Wide Field-of-View Earth Radiation Budget Radiometer
* Design and Evaluation of a Permanently Installed Plane-Based Calibration Field for Mobile Laser Scanning Systems
* Design of fuzzy inference system for apple ripeness estimation using gradient method
* Design of vision-based indoor positioning based on embedded system
* Destruction and Construction Learning for Fine-Grained Image Recognition
* Detail-Preserving Cross-Scale Learning Strategy for CNN-Based Pansharpening, A
* Detailed Human Shape Estimation From a Single Image by Hierarchical Mesh Deformation
* Detect-To-Retrieve: Efficient Regional Aggregation for Image Search
* Detecting Frost Stress in Wheat: A Controlled Environment Hyperspectral Study on Wheat Plant Components and Implications for Multispectral Field Sensing
* Detecting Overfitting of Deep Generative Networks via Latent Recovery
* Detecting the Sources of Methane Emission from Oil Shale Mining and Processing Using Airborne Hyperspectral Data
* Detection and Characterization of Active Slope Deformations with Sentinel-1 InSAR Analyses in the Southwest Area of Shanxi, China
* Detection and classification of microcalcification from digital mammograms with firefly algorithm, extreme learning machine and non-linear regression models: A comparison
* Detection and Localisation of Life Signs from the Air Using Image Registration and Spatio-Temporal Filtering
* Detection Based Defense Against Adversarial Examples From the Steganalysis Point of View
* Detection of Aquatic Plants Using Multispectral UAV Imagery and Vegetation Index
* Determination of Leaf Nitrogen Concentrations Using Electrical Impedance Spectroscopy in Multiple Crops
* Determination of Phycocyanin from Space: A Bibliometric Analysis
* Development and evaluation of a new algorithm for detecting 30m land surface phenology from VIIRS and HLS time series
* Development and Evaluation of an Adaptive Traffic Signal Control Scheme Under a Mixed-Automated Traffic Scenario
* Development of a Two-Step Merging and Downscaling Method for Satellite Precipitation Products , The
* Development of platoon-based actuated signal control systems to coordinated intersections: application in corridors in Houston
* Devil Is in the Edges: Learning Semantic Boundaries From Noisy Annotations
* DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation
* Dichromatic Model Based Temporal Color Constancy for AC Light Sources
* Did It Change? Learning to Detect Point-Of-Interest Changes for Proactive Map Updates
* Difference of Sea Level Variability by Steric Height and Altimetry in the North Pacific, The
* Direct Object Recognition Without Line-Of-Sight Using Optical Coherence
* Discovering Fair Representations in the Data Domain
* Discovering Visual Patterns in Art Collections With Spatially-Consistent Feature Learning
* Discrepancy Analysis for Detecting Candidate Parcels Requiring Update of Land Category in Cadastral Map Using Hyperspectral UAV Images: A Case Study in Jeonju, South Korea
* Discrimination of Biological Scatterers in Polarimetric Weather Radar Data: Opportunities and Challenges
* Discriminative Feature Learning Constrained Unsupervised Network for Cloud Detection in Remote Sensing Imagery
* Discriminative Multi-View Privileged Information Learning for Image Re-Ranking
* Disentangled Representation Learning for 3D Face Shape
* Disentangling Adversarial Robustness and Generalization
* Disentangling Latent Hands for Image Synthesis and Pose Estimation
* Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions
* Dissecting Person Re-Identification From the Viewpoint of Viewpoint
* Dissimilarity Coefficient Based Weakly Supervised Object Detection
* Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation
* Distilled Person Re-Identification: Towards a More Scalable System
* DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs
* Distilling Object Detectors With Fine-Grained Feature Imitation
* Distraction-Aware Shadow Detection
* Distributed Multiagent Coordinated Learning for Autonomous Driving in Highways Based on Dynamic Coordination Graphs
* Divergence Prior and Vessel-Tree Reconstruction
* Divergence Triangle for Joint Training of Generator Model, Energy-Based Model, and Inferential Model
* Diverse fuzzy c-means for image clustering
* Diverse Generation for Multi-Agent Sports Games
* Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection
* Diversity-Based Cascade Filters for JPEG Steganalysis
* Divide and Conquer the Embedding Space for Metric Learning
* DLOW: Domain Flow for Adaptation and Generalization
* DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-To-Image Synthesis
* DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition
* Do Better ImageNet Models Transfer Better?
* Do Protected Areas Improve Ecosystem Services? A Case Study of Hoh Xil Nature Reserve in Qinghai-Tibetan Plateau
* Does Learning Specific Features for Related Parts Help Human Pose Estimation?
* Domain Generalization by Solving Jigsaw Puzzles
* Domain Transform Solver, The
* Domain-Specific Batch Normalization for Unsupervised Domain Adaptation
* Domain-Symmetric Networks for Adversarial Domain Adaptation
* Dominant Color Extraction with K-Means for Camera Characterization in Cultural Heritage Documentation
* Doodle to Search: Practical Zero-Shot Sketch-Based Image Retrieval
* Double Nuclear Norm Based Low Rank Representation on Grassmann Manifolds for Clustering
* Double Relaxed Regression for Image Classification
* Double-DIP: Unsupervised Image Decomposition via Coupled Deep-Image-Priors
* Douglas-Rachford Networks: Learning Both the Image Prior and Data Fidelity Terms for Blind Image Deconvolution
* Driving Factors of Land Change in China's Loess Plateau: Quantification Using Geographically Weighted Regression and Management Implications
* DrivingStereo: A Large-Scale Dataset for Stereo Matching in Autonomous Driving Scenarios
* Drone-Based Bioaerosol Sampling System to Monitor Ice Nucleation Particles in the Lower Atmosphere, A
* Drone-Based Optical Measurements of Heterogeneous Surface Velocity Fields around Fish Passages at Hydropower Dams
* Droughts Amplify Differences Between the Energy Balance Components of Amazon Forests and Croplands
* DSFD: Dual Shot Face Detector
* Dual Attention Network for Scene Segmentation
* Dual Encoding for Zero-Example Video Retrieval
* Dual L1-Normalized Context Aware Tensor Power Iteration and Its Applications to Multi-object Tracking and Multi-graph Matching
* Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration
* Dual-Branch Extraction and Classification Method Under Limited Samples of Hyperspectral Images Based on Deep Learning, A
* DuDoNet: Dual Domain Network for CT Metal Artifact Reduction
* DuLa-Net: A Dual-Projection Network for Estimating Room Layouts From a Single RGB Panorama
* DVC: An End-To-End Deep Video Compression Framework
* Dynamic Channel Selection of Microwave Temperature Sounding Channels under Cloudy Conditions
* Dynamic Fusion With Intra- and Inter-Modality Attention Flow for Visual Question Answering
* Dynamic In Vivo X-ray Fluorescence Imaging of Gold in Living Mice Exposed to Gold Nanoparticles
* Dynamic Inversion of Inland Aquaculture Water Quality Based on UAVs-WSN Spectral Analysis
* Dynamic Random Walk for Superpixel Segmentation
* Dynamic Receptive Field Generation for Full-Reference Image Quality Assessment
* Dynamic Recursive Neural Network
* Dynamic Scene Deblurring With Parameter Selective Sharing and Nested Skip Connections
* Dynamic texture recognition using local tetra pattern: Three orthogonal planes (LTrP-TOP)
* Dynamics Are Important for the Recognition of Equine Pain in Video
* DynTypo: Example-Based Dynamic Text Effects Transfer
* Earth Stewardship Science: Transdisciplinary Contributions to Quantifying Natural and Cultural Heritage of Southernmost Africa
* ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model
* Ecological Risk Assessment and Impact Factor Analysis of Alpine Wetland Ecosystem Based on LUCC and Boosted Regression Tree on the Zoige Plateau, China
* Edge-aware image filtering using a structure-guided CNN
* Edge-Labeling Graph Neural Network for Few-Shot Learning
* Edge-Preserving Reference Sample Filtering and Mode-Dependent Interpolation for Intra-Prediction
* Editorial for Special Issue: Remote Sensing based Building Extraction
* Editorial for the Special Issue: Remote Sensing of Urban Ecology and Sustainability
* Effect of pooling strategy on convolutional neural network for classification of hyperspectral remote sensing images
* Effective Aesthetics Prediction With Multi-Level Spatially Pooled Features
* Effective Image-Adaptive Hybrid Watermarking Scheme with Transform Coefficients, An
* Efficient and Fast Real-World Noisy Image Denoising by Combining Pyramid Neural Network and Two-Pathway Unscented Kalman Filter
* Efficient binary image steganalysis based on ensemble neural network of multi-module
* Efficient CNN based summarization of surveillance videos for resource-constrained devices
* Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition
* efficient EM-ICP algorithm for non-linear registration of large 3D point sets, An
* Efficient Featurized Image Pyramid Network for Single Shot Detector
* Efficient Ground Manoeuvring Target Refocusing Method Based on Principal Component Analysis and Motion Parameter Estimation, An
* Efficient match pair selection for oblique UAV images based on adaptive vocabulary tree
* Efficient method for segmentation of noisy and non-circular iris images using improved particle swarm optimisation-based MRFCM
* Efficient Multi-Domain Learning by Covariance Normalization
* Efficient Neural Network Compression
* Efficient Online Multi-Person 2D Pose Tracking With Recurrent Spatio-Temporal Affinity Fields
* Efficient Parameter-Free Clustering Using First Neighbor Relations
* Efficient Schmidt-EKF for 3D Visual-Inertial SLAM, An
* Efficient Texture Descriptor for the Detection of License Plates From Vehicle Images in Difficult Conditions, An
* Efficient Video Classification Using Fewer Frames
* Efficient weakly-supervised discrete hashing for large-scale social image retrieval
* EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching From Scratch
* Elastic Boundary Projection for 3D Medical Image Segmentation
* ELASTIC: Improving CNNs With Dynamic Scaling Policies
* Elevation-Dependent Removal of Cirrus Clouds in Satellite Imagery
* Eliminating Exposure Bias and Metric Mismatch in Multiple Object Tracking
* Embedding Bilateral Filter in Least Squares for Efficient Edge-Preserving Image Smoothing
* Embedding Complementary Deep Networks for Image Classification
* Embodied Question Answering in Photorealistic Environments With Point Cloud Perception
* Emotion-Aware Human Attention Prediction
* End-To-End Efficient Representation Learning via Cascading Combinatorial Optimization
* End-To-End Interpretable Neural Motion Planner
* End-To-End Learned Random Walker for Seeded Image Segmentation
* End-To-End Multi-Task Learning With Attention
* End-To-End Network for Generating Social Relationship Graphs, An
* End-To-End Network for Panoptic Segmentation, An
* End-to-End Optimized ROI Image Compression
* End-To-End Projector Photometric Compensation
* End-To-End Supervised Product Quantization for Image Search and Retrieval
* End-To-End Time-Lapse Video Synthesis From a Single Outdoor Image
* Endpoint fusing method of online freehand-sketched polyhedrons
* Energy-Efficient FPGA-Based Deconvolutional Neural Networks Accelerator for Single Image Super-Resolution, An
* Engaging Image Captioning via Personality
* Engineering Hand-designed and Deeply-learned features for person Re-identification
* Enhanced Bayesian Compression via Deep Reinforcement Learning
* Enhanced copy-paste forgery detection in digital images using scale-invariant feature transform
* Enhanced Delaunay Triangulation Sea Ice Tracking Algorithm with Combining Feature Tracking and Pattern Matching
* Enhanced Derivation of Model Parameters for Cross-Component Linear Model (CCLM) in VVC
* Enhanced Pix2pix Dehazing Network
* Enhancing Diversity of Defocus Blur Detectors via Cross-Ensemble Network
* Enhancing reliability and efficiency for real-time robust adaptive steganography using cyclic redundancy check codes
* Enhancing TripleGAN for Semi-Supervised Conditional Instance Synthesis and Classification
* Ensemble Deep Manifold Similarity Learning Using Hard Proxies
* Ensemble of Deep Convolutional Neural Networks With Gabor Face Representations for Face Recognition
* Ensemble of fine-tuned convolutional neural networks for urine sediment microscopic image classification
* Entropic Optimal Transport loss for learning deep neural networks under label noise in remote sensing images, An
* Entropy-Based Reweighted Tensor Completion Technique for Video Recovery
* ESIR: End-To-End Scene Text Recognition via Iterative Image Rectification
* ESPNetv2: A Light-Weight, Power Efficient, and General Purpose Convolutional Neural Network
* Estimating 3D Motion and Forces of Person-Object Interactions From Monocular Video
* Estimating Dynamic Functional Brain Connectivity With a Sparse Hidden Markov Model
* EV-Gait: Event-Based Robust Gait Recognition Using Dynamic Vision Sensors
* Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks
* Evaluating the Feasibility of Illegal Open-Pit Mining Identification Using Insar Coherence
* Evaluation and Application of Satellite Precipitation Products in Studying the Summer Precipitation Variations over Taiwan
* Evaluation of Evapotranspiration for Exorheic Catchments of China during the GRACE Era: From a Water Balance Perspective
* Evaluation of Landsat 8 OLI/TIRS Level-2 and Sentinel 2 Level-1C Fusion Techniques Intended for Image Segmentation of Archaeological Landscapes and Proxies
* Evaluation of the Radar QPE and Rain Gauge Data Merging Methods in Northern China
* Evapotranspiration Estimation in the Sahel Using a New Ensemble-Contextual Method
* Evapotranspiration in the Tono Reservoir Catchment in Upper East Region of Ghana Estimated by a Novel TSEB Approach from ASTER Imagery
* Event Cameras, Contrast Maximization and Reward Functions: An Analysis
* Event-Based High Dynamic Range Image and Very High Frame Rate Video Generation Using Conditional Generative Adversarial Networks
* EventNet: Asynchronous Recursive Event Processing
* Events-To-Video: Bringing Modern Computer Vision to Event Cameras
* Evolution of Near-Shore Outwash Fans and Permafrost Spreading Under Their Surface: A Case Study from Svalbard
* Evolution Response of Ecosystem Cultural Services under Different Scenarios Based on System Dynamics, The
* Exact Adversarial Attack to Image Captioning via Structured Output Learning With Latent Variables
* Examining earliest identifiable timing of crops using all available Sentinel 1/2 imagery and Google Earth Engine
* Example-Guided Style-Consistent Image Synthesis From Semantic Labeling
* Experimental Evaluation of the Stimuli-Induced Equilibrium Point Concept for Automatic Ramp Merging Systems
* Explainability Methods for Graph Convolutional Neural Networks
* Explainable and Explicit Visual Reasoning Over Scene Graphs
* Explicit Bias Discovery in Visual Question Answering Models
* Explicit Spatial Encoding for Deep Local Descriptors
* Exploiting Edge Features for Graph Neural Networks
* Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression
* Exploiting Temporal Context for 3D Human Pose Estimation in the Wild
* Exploration of Urban Material Anabolism Based on RS and GIS Methods: Case Study in Jinchang, China, The
* Explore-Exploit Graph Traversal for Image Retrieval
* Exploring Context and Visual Pattern of Relationship for Scene Graph Generation
* Exploring Object Relation in Mean Teacher for Cross-Domain Detection
* Exploring the Bounds of the Utility of Context for Object Detection
* Expressive Body Capture: 3D Hands, Face, and Body From a Single Image
* Extended Coding Unit Partitioning for Future Video Coding
* Extracting Impervious Surface from Aerial Imagery Using Semi-Automatic Sampling and Spectral Stability
* Extraction of sub-pixel C3/C4 emissions of solar-induced chlorophyll fluorescence (SIF) using artificial neural network
* Extreme Relative Pose Estimation for RGB-D Scans via Scene Completion
* F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning
* FA-RPN: Floating Region Proposals for Face Detection
* Face Anti-Spoofing: Model Matters, so Does Data
* Face detection and tracking using hybrid margin-based ROI techniques
* Face Parsing With RoI Tanh-Warping
* Face recognition: a novel multi-level taxonomy based survey
* Face-Focused Cross-Stream Network for Deception Detection in Videos
* Face-from-Depth for Head Pose Estimation on Depth Images
* Facial emotion detection using modified eyemap-mouthmap algorithm on an enhanced image and classification with tensorflow
* Facial Emotion Distribution Learning by Exploiting Low-Rank Label Correlations Locally
* Facial expression recognition algorithm based on parameter adaptive initialization of CNN and LSTM
* Facial expression recognition with convolutional neural networks via a new face cropping and rotation strategy
* Factor Graph Attention
* Fast and Accurate Action Detection in Videos With Motion-Centric Attention Model
* Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Models
* Fast and Robust Multi-Person 3D Pose Estimation From Multiple Views
* Fast and Secure Steganography Based on J-UNIWARD
* Fast CU partition-based machine learning approach for reducing HEVC complexity
* Fast Depth Estimation for Light Field Cameras
* Fast Human Pose Estimation
* Fast Interactive Object Annotation With Curve-GCN
* Fast large scale deep face search
* Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells
* Fast Object Class Labelling via Speech
* Fast Online Object Tracking and Segmentation: A Unifying Approach
* Fast regularity-constrained plane fitting
* Fast search real-time face recognition based on DCT coefficients distribution
* Fast semi-supervised learning with anchor graph for large hyperspectral images
* Fast Single Image Reflection Suppression via Convex Optimization
* Fast Sparse Aperture ISAR Autofocusing and Imaging via ADMM Based Sparse Bayesian Learning
* Fast Spatially-Varying Indoor Lighting Estimation
* Fast Spatio-Temporal Residual Network for Video Super-Resolution
* Fast spectral clustering learning with hierarchical bipartite graph for large-scale data
* Fast User-Guided Video Object Segmentation by Interaction-And-Propagation Networks
* Fast, Diverse and Accurate Image Captioning Guided by Part-Of-Speech
* Fast, Efficient Broadcast Schemes Based on the Prediction of Dynamics in Vehicular Ad Hoc Networks
* FAST: Fast and Accurate Scale Estimation for Tracking
* FastDraw: Addressing the Long Tail of Lane Detection by Adapting a Sequential Prediction Network
* FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search
* FC-RCCN: Fully convolutional residual continuous CRF network for semantic segmentation
* Feasibility Study and Conceptual Design of Missile-Borne Synthetic Aperture Radar
* Feature Denoising for Improving Adversarial Robustness
* Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples
* Feature Selective Anchor-Free Module for Single-Shot Object Detection
* Feature Space Perturbations Yield More Transferable Adversarial Examples
* Feature Transfer Learning for Face Recognition With Under-Represented Data
* Feature-Level Frankenstein: Eliminating Variations for Discriminative Recognition
* Feedback Adversarial Learning: Spatial Feedback for Improving Generative Adversarial Networks
* Feedback Network for Image Super-Resolution
* FEELVOS: Fast End-To-End Embedding Learning for Video Object Segmentation
* Few-Shot Adaptive Faster R-CNN
* Few-Shot Learning via Saliency-Guided Hallucination of Samples
* Few-Shot Learning With Localization in Realistic Settings
* FickleNet: Weakly and Semi-Supervised Semantic Image Segmentation Using Stochastic Inference
* Filling Gaps of Monthly Terra/MODIS Daytime Land Surface Temperature Using Discrete Cosine Transform Method
* Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration
* FilterReg: Robust and Efficient Probabilistic Point-Set Registration Using Gaussian Filter and Twist Parameterization
* Finding Task-Relevant Features for Few-Shot Learning by Category Traversal
* Fine-Grained Visual-Textual Representation Learning
* FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery
* Finite Element Analysis based on A Parametric Model by Approximating Point Clouds
* First Evidence of Mesoscale Ocean Eddies Signature in GNSS Reflectometry Measurements
* Fitting Multiple Heterogeneous Models by Multi-Class Cascaded T-Linkage
* Fleet Sizing for Electric Car Sharing Systems in Discrete Event System Frameworks
* Flexible Convolutional Solver for Fast Style Transfers, A
* Flexible High-Dimensional Unsupervised Learning with Missing Data
* FlowNet3D: Learning Scene Flow in 3D Point Clouds
* FML: Face Model Learning From Videos
* FOCNet: A Fractional Optimal Control Network for Image Denoising
* Focus Is All You Need: Loss Functions for Event-Based Vision
* Fog-Based Multi-Class Dispatching and Charging for Autonomous Electric Mobility On-Demand
* Force from Motion: Decoding Control Force of Activity in a First-Person Video
* Forecasting Markers of Habitual Driving Behaviors Associated With Crash Risk
* Foreground-Aware Image Inpainting
* Formation Design for Single-Pass GEO InSAR Considering Earth Rotation Based on Coordinate Rotational Transformation
* Four points: one-pass geometrical camera calibration algorithm
* Fractional-Order Anisotropic Diffusion for Defogging of RGB Images
* Frame-Consistent Recurrent Video Deraining With Dual-Level Flow
* Framework for Evaluating Threshold Variation Compensation Methods in Photon Counting Spectral CT, A
* From Coarse to Fine: Robust Hierarchical Localization at Large Scale
* From Rank Estimation to Rank Approximation: Rank Residual Constraint for Image Restoration
* From Recognition to Cognition: Visual Commonsense Reasoning
* FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation From a Single Image
* Fully Automated Profile-based Calibration Strategy for Airborne and Terrestrial Mobile LiDAR Systems with Spinning Multi-beam Laser Units
* Fully automated scheme for computer-aided detection and breast cancer diagnosis using digitised mammograms
* Fully automatic multisegmentation approach for magnetic resonance imaging brain tumor detection using improved region-growing and quasi-Monte Carlo-expectation maximization algorithm
* Fully Automatic Video Colorization With Self-Regularization and Diversity
* Fully Learnable Group Convolution for Acceleration of Deep Neural Networks
* Fully Quantized Network for Object Detection
* Functional connectivity differences in brain networks from childhood to youth
* Functional neural interactions during adaptive reward learning: An functional magnetic resonance imaging study
* Fusion Framework Based on Sparse Gaussian-Wigner Prediction for Vehicle Localization Using GDOP of GPS Satellites, A
* Fuzzy hybrid framework with dynamic weights for short-term traffic flow prediction by mining spatio-temporal correlations
* GA-Net: Guided Aggregation Net for End-To-End Stereo Matching
* Gait Recognition via Disentangled Representation Learning
* GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction
* Gaussian Temporal Awareness Networks for Action Localization
* GCAN: Graph Convolutional Adversarial Network for Unsupervised Domain Adaptation
* General and Adaptive Robust Loss Function, A
* General model for linear information extraction based on the shear transformation
* general non-parametric active learning framework for classification on multiple manifolds, A
* Generalising Fine-Grained Sketch-Based Image Retrieval
* Generalizable Person Re-Identification by Domain-Invariant Mapping Network
* Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression
* Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders
* Generalized Zero-Shot Recognition Based on Visually Semantic Embedding
* Generalizing Eye Tracking With Bayesian Adversarial Learning
* Generating 3D Adversarial Point Clouds
* Generating Classification Weights With GNN Denoising Autoencoders for Few-Shot Learning
* Generating Multiple Hypotheses for 3D Human Pose Estimation With Mixture Density Network
* Generative Adversarial Density Estimator, A
* Generative Appearance Model for End-To-End Video Object Segmentation, A
* Generative Dual Adversarial Network for Generalized Zero-Shot Learning
* Geometric Accuracy Improvement Method for High-Resolution Optical Satellite Remote Sensing Imagery Combining Multi-Temporal SAR Imagery and GLAS Data
* Geometric Feature-Based Classification of Segmented Human Chromosomes
* Geometric Quality Assessment of Chang'E-2 Global DEM Product
* Geometry Aware Evaluation of Handcrafted Superpixel-Based Features and Convolutional Neural Networks for Land Cover Mapping Using Satellite Imagery
* Geometry-Aware Distillation for Indoor Semantic Segmentation
* Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation
* Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mapping
* GeoNet: Deep Geodesic Networks for Point Cloud Analysis
* GFrames: Gradient-Based Local Reference Frame for 3D Shape Matching
* GIF2Video: Color Dequantization and Temporal Interpolation of GIF Images
* Glacier Variations at Xinqingfeng and Malan Ice Caps in the Inner Tibetan Plateau Since 1970
* Global and local patterns of landscape change accuracy
* Global Mean Sea Surface Height Estimated from Spaceborne Cyclone-GNSS Reflectometry
* Global Second-Order Pooling Convolutional Networks
* GNSS-RO Refractivity Bias Correction Under Ducting Layer Using Surface-Reflection Signal
* GNSS/INS Integration with Integrity Monitoring for UAV No-fly Zone Management
* GNSS/INS-Assisted Structure from Motion Strategies for UAV-Based Imagery over Mechanized Agricultural Fields
* GOM20: A Stable Geodetic Reference Frame for Subsidence, Faulting, and Sea-Level Rise Studies along the Coast of the Gulf of Mexico
* Good News, Everyone! Context Driven Entity-Aware Captioning for News Images
* Gotta Adapt 'Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the Wild
* GPSfM: Global Projective SFM Using Algebraic Constraints on Multi-View Fundamental Matrices
* GPU-Based Soil Parameter Parallel Inversion for PolSAR Data
* GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering
* Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
* Graded Warning for Rear-End Collision: An Artificial Intelligence-Aided Algorithm
* Gradient Matching Generative Networks for Zero-Shot Learning
* Graininess-Aware Deep Feature Learning for Robust Pedestrian Detection
* Graph Attention Convolution for Point Cloud Semantic Segmentation
* Graph Convolutional Label Noise Cleaner: Train a Plug-And-Play Action Classifier for Anomaly Detection
* Graph Convolutional Tracking
* Graph Laplacian Regularization for Robust Optical Flow Estimation
* Graph simulation on large scale temporal graphs
* Graph-Based Global Reasoning Networks
* Graph-matching-based correspondence search for nonrigid point cloud registration
* Graphical Contrastive Losses for Scene Graph Parsing
* Graphonomy: Universal Human Parsing via Graph Transfer Learning
* Grassmannian Graph Approach to Affine Invariant Feature Matching, A
* Grayscale-Thermal Tracking via Inverse Sparse Representation-Based Collaborative Encoding
* Greedy Structure Learning of Hierarchical Compositional Models
* Grid R-CNN
* Ground-Plane-Based Absolute Scale Estimation for Monocular Visual Odometry
* Grounded Video Description
* Grounding Human-To-Vehicle Advice for Self-Driving Vehicles
* Group Sampling for Scale Invariant Face Detection
* Group-Wise Correlation Stereo Network
* GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving
* GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud
* Guaranteed Matrix Completion Under Multiple Linear Transformations
* Guess where? Actor-supervision for spatiotemporal action localization
* Guest editorial: Image/video understanding and analysis
* Guided Stereo Matching
* H+O: Unified Egocentric Recognition of 3D Hand-Object Poses and Interactions
* Hallucinating Unaligned Face Images by Multiscale Transformative Discriminative Networks
* Handwriting Recognition in Low-Resource Scripts Using Adversarial Learning
* HAQ: Hardware-Aware Automated Quantization With Mixed Precision
* HAR-Net: Joint Learning of Hybrid Attention for Single-Stage Object Detection
* Hardness-Aware Deep Metric Learning
* Harnessing Vehicular Broadcast Communications: DSRC-Actuated Traffic Control
* HeadNet: An End-to-End Adaptive Relational Network for Head Detection
* Healthy Park Needs Healthy Vegetation: The Story of Gorongosa National Park in the 21st Century, A
* Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning
* HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs
* Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering
* Heuristic sample learning for complex urban scenes: Application to urban functional-zone mapping with VHR images and POI data
* hierarchical autoencoder learning model for path prediction and abnormality detection, A
* Hierarchical Cross-Modal Talking Face Generation With Dynamic Pixel-Wise Loss
* Hierarchical Deep Stereo Matching on High-Resolution Images
* Hierarchical Discrete Distribution Decomposition for Match Density Estimation
* Hierarchical Disentanglement of Discriminative Latent Features for Zero-Shot Learning
* Hierarchy Denoising Recursive Autoencoders for 3D Scene Layout Prediction
* High Flux Passive Imaging With Single-Photon Sensors
* High Quality Light Field Extraction and Post-Processing for Raw Plenoptic Data
* High-Frequency Variations in Pearl River Plume Observed by Soil Moisture Active Passive Sea Surface Salinity
* High-Level Semantic Feature Detection: A New Perspective for Pedestrian Detection
* High-Quality Face Capture Using Anatomical Muscles
* High-Resolution Reconstruction of the Maximum Snow Water Equivalent Based on Remote Sensing Data in a Mountainous Area
* HMS-Net: Hierarchical Multi-Scale Sparsity-Invariant Network for Sparse Depth Completion
* Holistic Analysis for Landslide Susceptibility Mapping Applying Geographic Object-Based Random Forest: A Comparison between Protected and Non-Protected Forests, A
* Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning From Radiology Reports and Label Ontology
* HoloPose: Holistic 3D Human Reconstruction In-The-Wild
* Homography Estimation from Ellipse Correspondences Based on the Common Self-Polar Triangle
* Homomorphic Latent Space Interpolation for Unpaired Image-To-Image Translation
* Horizon line detection using supervised learning and edge cues
* HorizonNet: Learning Room Layout With 1D Representation and Pano Stretch Data Augmentation
* How Road and Mobile Networks Correlate: Estimating Urban Traffic Using Handovers
* How to Make a Pizza: Learning a Compositional Layer-Based GAN Model
* How Well Do Deep Learning-Based Methods for Land Cover Classification and Object Detection Perform on High Resolution Remote Sensing Imagery?
* HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-Scale Point Clouds
* Human Identification Using Selected Features From Finger Geometric Profiles
* Human Visual System vs Convolution Neural Networks in food recognition task: An empirical comparison
* Hybrid convolutional neural network for sketch recognition, A
* Hybrid Scene Compression for Visual Localization
* Hybrid Task Cascade for Instance Segmentation
* Hybrid-Attention Based Decoupled Metric Learning for Zero-Shot Image Retrieval
* Hyperspectral Image Reconstruction Using a Deep Spatial-Spectral Prior
* Hyperspectral Image Super-Resolution With Optimized RGB Guidance
* Hyperspectral Imaging With Random Printed Mask
* Hyperspectral Remote Sensing of Phytoplankton Species Composition Based on Transfer Learning
* Ideal Angular Orientation of Selected 64-Channel Multi Beam Lidars for Mobile Mapping Systems
* Identification of Active Gully Erosion Sites in the Loess Plateau of China Using MF-DFA
* Identification of Dominant Factors Affecting Soil Erosion and Water Yield within Ecological Red Line Areas
* Identification of Seed Maize Fields With High Spatial Resolution and Multiple Spectral Remote Sensing Using Random Forest Classifier
* Identifying motion pathways in highly crowded scenes: A non-parametric tracklet clustering approach
* IDGCP: Image Dehazing Based on Gamma Correction Prior
* IGE-Net: Inverse Graphics Energy Networks for Human Pose Estimation and Single-View Reconstruction
* Illumination Invariant Hyperspectral Image Unmixing Based on a Digital Surface Model
* Illumination-Invariance Optical Flow Estimation Using Weighted Regularization Transform
* IM-Net for High Resolution Video Frame Interpolation
* Im2Pencil: Controllable Pencil Illustration From Photographs
* Image and Sentence Matching via Semantic Concepts and Order Learning
* Image Captioning With End-to-End Attribute Detection and Subsequent Attributes Prediction
* Image classification using SLIC superpixel and FAAGKFCM image segmentation
* Image Deformation Meta-Networks for One-Shot Learning
* Image denoising using 2D orthogonal locality preserving discriminant projection
* Image Feature Correspondence Selection: A Comparative Study and a New Contribution
* Image Generation From Layout
* Image segmentation algorithm based on neutrosophic fuzzy clustering with non-local information
* Image Similarity Metrics Suitable for Infrared Video Stabilization during Active Wildfire Monitoring: A Comparative Analysis
* Image Super-Resolution by Neural Texture Transfer
* Image-Question-Answer Synergistic Network for Visual Dialog
* Image-To-Image Translation via Group-Wise Deep Whitening-And-Coloring Transformation
* Impact of UAS Image Orientation on Accuracy of Forest Inventory Attributes
* Importance Densities for Particle Filtering Using Iterated Conditional Expectations
* Importance Estimation for Neural Network Pruning
* Improved 3D Stem Mapping Method and Elliptic Hypothesis-Based DBH Estimation from Terrestrial Laser Scanning Data
* improved change detection approach using tri-temporal logic-verified change vector analysis, An
* Improved image clustering with deep semantic embedding
* Improved Mapping with Super-Resolved Multispectral Images for Geostationary Satellites, An
* Improved Method of Total Variation Superiorization Applied to Reconstruction in Proton Computed Tomography, An
* Improved Road Connectivity by Joint Learning of Orientation and Segmentation
* Improved Saliency Detection in RGB-D Images Using Two-Phase Depth Estimation and Selective Deep Fusion
* Improved Winter Wheat Spatial Distribution Extraction from High-Resolution Remote Sensing Imagery Using Semantic Features and Statistical Analysis
* Improving Action Localization by Progressive Cross-Stream Cooperation
* Improving Dataset Volumes and Model Accuracy With Semi-Supervised Iterative Self-Learning
* Improving Few-Shot User-Specific Gaze Adaptation via Gaze Redirection Synthesis
* Improving Referring Expression Grounding With Cross-Modal Attention-Guided Erasing
* Improving Semantic Segmentation via Video Propagation and Label Relaxation
* Improving the Performance of Unimodal Dynamic Hand-Gesture Recognition With Multimodal Training
* Improving Transferability of Adversarial Examples With Input Diversity
* In Defense of Pre-Trained ImageNet Architectures for Real-Time Semantic Segmentation of Road-Driving Images
* In the Wild Human Pose Estimation Using Explicit 2D Features and Intermediate 3D Representations
* Incremental Learning Through Deep Adaptation
* Incremental Object Learning From Contiguous Views
* Incremental transfer learning for video annotation via grouped heterogeneous sources
* Individual Tree Position Extraction and Structural Parameter Retrieval Based on Airborne LiDAR Data: Performance Evaluation and Comparison of Four Algorithms
* Inference in Supervised Spectral Classifiers for On-Board Hyperspectral Imaging: An Overview
* Inferring the Creep Settlement Behavior of Rockfill in Reclaimed Lands by Advanced SAR Interferometry and Numerical Modeling: An Example from Arabian Gulf
* Influence of Model Grid Size on the Estimation of Surface Fluxes Using the Two Source Energy Balance Model and sUAS Imagery in Vineyards
* Information Maximizing Visual Question Generation
* Informative Object Annotations: Tell Me Something I Don't Know
* Informed Histogram-Based Watermarking
* innovative multi-label learning based algorithm for city data computing, An
* Inserting Videos Into Videos
* Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth
* Instance-Level Meta Normalization
* Integrating Taylor-Krill herd-based SVM to fuzzy-based adaptive filter for medical image denoising
* intelligent system for gastrointestinal polyp detection in endoscopic video using fusion of bidimensional empirical mode decomposition and convolutional neural network features, An
* Intelligent vehicle control at signal-free intersection under mixed connected environment
* Intention Oriented Image Captions With Guiding Objects
* Interaction-And-Aggregation Network for Person Re-Identification
* Interactive Full Image Segmentation by Considering All Regions Jointly
* Interactive Image Segmentation via Backpropagating Refinement Scheme
* Intercomparison of Machine-Learning Methods for Estimating Surface Shortwave and Photosynthetically Active Radiation
* Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks
* Interpretable Deep Architecture for Similarity Learning Built Upon Hierarchical Concepts, An
* Interpreting CNNs via Decision Trees
* Intra-Frame Compression of Point Cloud Geometry Using Dyadic Decomposition
* Introduction to Spatio-temporal data management and analytics for Smart City research
* Introduction to the special issue on deep learning for real-time information hiding and forensics
* Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-Identification
* Inverse Cooking: Recipe Generation From Food Images
* Inverse Discriminative Networks for Handwritten Signature Verification
* Inverse Path Tracing for Joint Material and Lighting Estimation
* Inverse Procedural Modeling of Knitwear
* InverseRenderNet: Learning Single Image Inverse Rendering
* IP102: A Large-Scale Benchmark Dataset for Insect Pest Recognition
* IRLAS: Inverse Reinforcement Learning for Architecture Search
* Is Travel Demand Actually Deep? An Application in Event Areas Using Semantic Information
* Isospectralization, or How to Hear Shape, Style, and Correspondence
* It's Not About the Journey; It's About the Destination: Following Soft Paths Under Question-Guidance for Visual Reasoning
* Iterative Alignment Network for Continuous Sign Language Recognition
* Iterative and Cooperative Top-Down and Bottom-Up Inference Network for Salient Object Detection, An
* Iterative Normalization: Beyond Standardization Towards Efficient Whitening
* Iterative Projection and Matching: Finding Structure-Preserving Representatives and Its Application to Computer Vision
* Iterative Reorganization With Weak Spatial Constraints: Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning
* Iterative Residual CNNs for Burst Photography Applications
* Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation
* Iterative Reweighted Tikhonov-Regularized Multihypothesis Prediction Scheme for Distributed Compressive Video Sensing
* ITISS: an efficient framework for querying big temporal data
* Joint Bayesian-Incorporating Estimation of Multiple Gaussian Graphical Models to Study Brain Connectivity Development in Adolescence
* Joint Coding of Local and Global Deep Features in Videos for Visual Search
* Joint Correlation Filtering for Visual Tracking
* Joint deep semantic embedding and metric learning for person re-identification
* Joint Discriminative and Generative Learning for Person Re-Identification
* Joint Face Alignment and 3D Face Reconstruction with Application to Face Recognition
* Joint Face Detection and Facial Motion Retargeting for Multiple Faces
* Joint Framework for Athlete Tracking and Action Recognition in Sports Videos, A
* Joint hyperspectral unmixing for urban computing
* Joint learning of image detail and transmission map for single image dehazing
* Joint learning of visual and spatial features for edit propagation from a single image
* Joint Manifold Diffusion for Combining Predictions on Decoupled Observations
* Joint Representation and Estimator Learning for Facial Action Unit Intensity Estimation
* Joint Representative Selection and Feature Learning: A Semi-Supervised Approach
* Joint spatial-spectral hyperspectral image classification based on convolutional neural network
* Jointly Learning Visual Poses and Pose Lexicon for Semantic Action Recognition
* JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds With Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields
* Jumping Manifolds: Geometry Aware Dense Non-Rigid Structure From Motion
* K-Nearest Neighbors Hashing
* k-Space Deep Learning for Accelerated MRI
* KE-GAN: Knowledge Embedded Generative Adversarial Networks for Semi-Supervised Scene Parsing
* Kernel Transformer Networks for Compact Spherical Convolution
* Kernel-Driven BRDF Approach to Correct Airborne Hyperspectral Imagery over Forested Areas with Rugged Topography, A
* Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations, A
* Kervolutional Neural Networks
* Keypoint Transfer for Fast Whole-Body Segmentation
* Kinetic Modeling of Hyperpolarized Carbon-13 Pyruvate Metabolism in the Human Brain
* Knockoff Nets: Stealing Functionality of Black-Box Models
* Knowing When to Stop: Evaluation and Verification of Conformity to Output-Size Specifications
* Knowledge Adaptation for Efficient Semantic Segmentation
* Knowledge and Data-Driven Mapping of Environmental Status Indicators from Remote Sensing and VGI
* Knowledge Distillation via Instance Relationship Graph
* Knowledge-Embedded Routing Network for Scene Graph Generation
* KonIQ-10k: An Ecologically Valid Database for Deep Learning of Blind Image Quality Assessment
* L3-Net: Towards Learning Based LiDAR Localization for Autonomous Driving
* Label Efficient Semi-Supervised Learning via Graph Filtering
* Label Propagation for Deep Semi-Supervised Learning
* Label-Noise Robust Generative Adversarial Networks
* LAEO-Net: Revisiting People Looking at Each Other in Videos
* LAF-Net: Locally Adaptive Fusion Networks for Stereo Confidence Estimation
* Land contained sea area ship detection using spaceborne image
* Land Subsidence Response to Different Land Use Types and Water Resource Utilization in Beijing-Tianjin-Hebei, China
* Land Use/Land Cover Change (2000-2014) in the Rio de la Plata Grasslands: An Analysis Based on MODIS NDVI Time Series
* Landsat Analysis Ready Data for Global Land Cover and Land Cover Change Mapping
* Landslide Susceptibility Evaluation and Management Using Different Machine Learning Methods in The Gallicash River Watershed, Iran
* Landslide Susceptibility Prediction Based on Remote Sensing Images and GIS: Comparisons of Supervised and Unsupervised Machine Learning Models
* Language-Driven Temporal Activity Localization: A Semantic Matching Reinforcement Learning Model
* Large Scale High-Resolution Land Cover Mapping With Multi-Resolution Data
* Large Scale Incremental Learning
* Large-Scale Database and a CNN Model for Attention-Based Glaucoma Detection, A
* Large-Scale Distributed Second-Order Optimization Using Kronecker-Factored Approximate Curvature for Deep Convolutional Neural Networks
* Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy
* Large-Scale Interactive Object Segmentation With Human Annotators
* Large-Scale Long-Tailed Recognition in an Open World
* Large-Scale Weakly-Supervised Pre-Training for Video Action Recognition
* Large-Scale, Metric Structure From Motion for Unordered Light Fields
* LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving
* LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning
* LaSOT: A High-Quality Benchmark for Large-Scale Single Object Tracking
* Late Fusion CNN for Digital Matting, A
* Latent Filter Scaling for Multimodal Unsupervised Image-To-Image Translation
* Latent Space Autoregression for Novelty Detection
* Layout-Graph Reasoning for Fashion Landmark Detection
* LBS Autoencoder: Self-Supervised Fitting of Articulated Meshes to Point Clouds
* Learned Image Downscaling for Upscaling Using Content Adaptive Resampler
* Learned Representation of Satellite Image Series for Data Compression
* Learning 3D Human Dynamics From Video
* Learning a Deep ConvNet for Multi-Label Classification With Partial Labels
* Learning a Single Tucker Decomposition Network for Lossy Image Compression With Multiple Bits-per-Pixel Rates
* Learning a Unified Classifier Incrementally via Rebalancing
* Learning Active Contour Models for Medical Image Segmentation
* Learning Actor Relation Graphs for Group Activity Recognition
* Learning Attraction Field Representation for Robust Line Segment Detection
* Learning Binary Code for Personalized Fashion Recommendation
* Learning Channel-Wise Interactions for Binary Convolutional Neural Networks
* Learning Context Graph for Person Search
* Learning Correspondence From the Cycle-Consistency of Time
* Learning cross-modal correlations by exploring inter-word semantics and stacked co-attention
* Learning Cross-Modal Embeddings With Adversarial Networks for Cooking Recipes and Food Images
* Learning feature aggregation in temporal domain for re-identification
* Learning for Single-Shot Confidence Calibration in Deep Neural Networks Through Stochastic Inferences
* Learning for Video Compression
* Learning From Noisy Labels by Regularized Estimation of Annotator Confusion
* Learning From Synthetic Data for Crowd Counting in the Wild
* Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space
* Learning Image and Video Compression Through Spatial-Temporal Energy Compaction
* Learning Implicit Fields for Generative Shape Modeling
* Learning Independent Object Motion From Unlabelled Stereoscopic Videos
* Learning Individual Styles of Conversational Gesture
* Learning Instance Activation Maps for Weakly Supervised Instance Segmentation
* Learning Joint Gait Representation via Quintuplet Loss Minimization
* Learning Joint Reconstruction of Hands and Manipulated Objects
* Learning Linear Transformations for Fast Image and Video Style Transfer
* Learning Loss for Active Learning
* Learning Metrics From Teachers: Compact Networks for Image Embedding
* Learning Monocular Depth Estimation Infusing Traditional Stereo Knowledge
* Learning Multi-Class Segmentations From Single-Class Datasets
* Learning Non-Local Spatial Correlations To Restore Sparse 3D Single-Photon Data
* Learning Non-Volumetric Depth Fusion Using Successive Reprojections
* Learning Not to Learn: Training Deep Neural Networks With Biased Data
* Learning Parallax Attention for Stereo Image Super-Resolution
* Learning Personalized Modular Network Guided by Structured Knowledge
* Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting
* Learning Reasoning-Decision Networks for Robust Face Alignment
* Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos
* Learning RoI Transformer for Oriented Object Detection in Aerial Images
* Learning Semantic Segmentation From Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach
* Learning sequential slice representation with an attention-embedding network for 3D shape recognition and retrieval in MLS point clouds
* Learning Shape-Aware Embedding for Scene Text Detection
* Learning Single-Image Depth From Videos Using Quality Assessment Networks
* Learning Spatial Common Sense With Geometry-Aware Recurrent Networks
* Learning Spatio-Temporal Representation With Local and Global Diffusion
* Learning Stable Nonlinear Cross-Diffusion Models for Image Restoration
* Learning Structure-And-Motion-Aware Rolling Shutter Correction
* Learning the Depths of Moving People by Watching Frozen People
* Learning to Adapt for Stereo
* Learning to Calibrate Straight Lines for Fisheye Image Rectification
* Learning to Cluster Faces on an Affinity Graph
* Learning to Compose Dynamic Tree Structures for Visual Contexts
* Learning to Detect Human-Object Interactions With Knowledge
* Learning to Explain With Complemental Examples
* Learning to Explore Intrinsic Saliency for Stereoscopic Video
* Learning to Extract Flawless Slow Motion From Blurry Videos
* Learning to Film From Professional Human Motion Videos
* Learning to Generate Synthetic Data via Compositing
* Learning to Learn From Noisy Labeled Data
* Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning
* Learning to Learn Image Classifiers With Visual Analogy
* Learning to Learn Relation for Important People Detection in Still Images
* Learning to Localize Through Compressed Binary Maps
* Learning to Minify Photometric Stereo
* Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss
* Learning to Reconstruct People in Clothing From a Single RGB Camera
* Learning to Reduce Dual-Level Discrepancy for Infrared-Visible Person Re-Identification
* Learning to Regress 3D Face Shape and Expression From an Image Without 3D Supervision
* Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning
* Learning to Sample
* Learning to Separate Multiple Illuminants in a Single Image
* Learning to Synthesize Motion Blur
* Learning to Transfer Examples for Partial Domain Adaptation
* Learning Transformation Synchronization
* Learning Unsupervised Video Object Segmentation Through Visual Attention
* Learning Video Representations From Correspondence Proposals
* Learning View Priors for Single-View 3D Reconstruction
* Learning With Batch-Wise Optimal Transport Loss for 3D Shape Recognition
* Learning Without Memorizing
* Learning Words by Drawing Images
* Learning-Based Low-Complexity Reverse Tone Mapping With Linear Mapping
* Learning-Based Sampling for Natural Image Matting
* Led3D: A Lightweight and Efficient Deep Approach to Recognizing Low-Quality 3D Faces
* Left ventricular segmentation based on a parallel watershed transformation towards an accurate heart function evaluation
* Lending Orientation to Neural Networks for Cross-View Geo-Localization
* Less Is More: Learning Highlight Detection From Video Duration
* Leveraging Crowdsourced GPS Data for Road Extraction From Aerial Imagery
* Leveraging Heterogeneous Auxiliary Tasks to Assist Crowd Counting
* Leveraging Shape Completion for 3D Siamese Tracking
* Leveraging the Invariant Side of Generative Zero-Shot Learning
* Libra R-CNN: Towards Balanced Learning for Object Detection
* License plate segmentation and recognition system using deep learning and OpenVINO
* LiCSBAS: An Open-Source InSAR Time Series Analysis Package Integrated with the LiCSAR Automated Sentinel-1 InSAR Processor
* LiFF: Light Field Features in Scale and Depth
* Lifting Vectorial Variational Problems: A Natural Formulation Based on Geometric Measure Theory and Discrete Exterior Calculus
* Light Field Messaging With Deep Photographic Steganography
* Light Field Saliency Detection With Deep Convolutional Networks
* Light field variational estimation using a light field formation model
* Linear array arrangement using composite right-/left-handed transmission lines for magnetic resonance imaging
* Linkage Based Face Clustering via Graph Convolution Network
* Listen to the Image
* LiveSketch: Query Perturbations for Guided Sketch-Based Visual Search
* LO-Net: Deep Real-Time Lidar Odometry
* Local Block Coordinate Descent Algorithm for the CSC Model, A
* Local Detection of Stereo Occlusion Boundaries
* Local Discriminant Direction Binary Pattern for Palmprint Representation and Recognition
* Local Features and Visual Words Emerge in Activations
* Local Relationship Learning With Person-Specific Shape Regularization for Facial Action Unit Detection
* Local Semantic Siamese Networks for Fast Tracking
* Local Temporal Bilinear Pooling for Fine-Grained Action Parsing
* Local to Global Learning: Gradually Adding Classes for Training Deep Neural Networks
* Locality-constrained group lasso coding for microvessel image classification
* Locating Objects Without Bounding Boxes
* Long-term correlation tracking via spatial-temporal context
* Long-Term Feature Banks for Detailed Video Understanding
* Look Back and Predict Forward in Image Captioning
* Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes
* Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-Grained Image Recognition
* Lovász Hinge: A Novel Convex Surrogate for Submodular Losses, The
* Low-Cost Radiometer for Landsat Land Surface Temperature Validation
* Low-Power Motion Estimation Architecture for HEVC Based on a New Sum of Absolute Difference Computation, A
* Low-Rank Laplacian-Uniform Mixed Model for Robust Face Recognition
* Low-Rank Matrix Recovery via Modified Schatten-p Norm Minimization With Convergence Guarantees
* Low-Rank Tensor Completion With a New Tensor Nuclear Norm Induced by Invertible Linear Transforms
* LP-3DCNN: Unveiling Local Phase in 3D Convolutional Neural Networks
* LPR-Net: Recognizing Chinese license plate in complex environments
* LSTA: Long Short-Term Attention for Egocentric Action Recognition
* LVIS: A Dataset for Large Vocabulary Instance Segmentation
* Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds
* MAGSAC: Marginalizing Sample Consensus
* Main/Subsidiary Network Framework for Simplifying Binary Neural Networks, A
* MAN: Moment Alignment Network for Natural Language Moment Retrieval via Iterative Graph Adjustment
* ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features
* MAP Inference via Block-Coordinate Frank-Wolfe Algorithm
* Mapping and Quantifying the Human-Environment Interactions in Middle Egypt Using Machine Learning and Satellite Data Fusion Techniques
* Mapping Landslides on EO Data: Performance of Deep Learning Models vs. Traditional Machine Learning Models
* Mapping the Topographic Features of Mining-Related Valley Fills Using Mask R-CNN Deep Learning and Digital Elevation Data
* Mapping, Localization and Path Planning for Image-Based Navigation Using Visual Features and Map
* Marginalized Latent Semantic Encoder for Zero-Shot Learning
* MARS: Motion-Augmented RGB Stream for Action Recognition
* Mask Scoring R-CNN
* Mask-Guided Portrait Editing With Conditional GANs
* Massive MIMO With Ternary ADCs
* Material Based Object Tracking in Hyperspectral Videos
* Max-Sliced Wasserstein Distance and Its Use for GANs
* MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors
* MBS: Macroblock Scaling for CNN Model Reduction
* Memory in Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity From Spatiotemporal Dynamics
* Memory-Attended Recurrent Network for Video Captioning
* Merge-Swap Optimization Framework for Supervoxel Generation from Three-Dimensional Point Clouds
* MeshAdv: Adversarial Meshes for Visual Recognition
* Meta-Learning Convolutional Neural Architectures for Multi-Target Concrete Defect Classification With the COncrete DEfect BRidge IMage Dataset
* Meta-Learning With Differentiable Convex Optimization
* Meta-SR: A Magnification-Arbitrary Network for Super-Resolution
* Meta-Transfer Learning for Few-Shot Learning
* MetaCleaner: Learning to Hallucinate Clean Representations for Noisy-Labeled Visual Recognition
* Method for Vehicle Detection in High-Resolution Satellite Images that Uses a Region-Based Object Detector and Unsupervised Domain Adaptation, A
* Metric for Light Field Reconstruction, Compression, and Display Quality Evaluation, A
* Metric for Video Blending Quality Assessment, A
* Metric Learning for Image Registration
* MFAS: Multimodal Fusion Architecture Search
* MHP-VOS: Multiple Hypotheses Propagation for Video Object Segmentation
* Micro-expression recognition: an updated review of current trends, challenges and solutions
* microfacet-based BRDF for the accurate and efficient rendering of high-definition specular normal maps, A
* migration of training samples towards dynamic global land cover mapping, The
* Min-Max Statistical Alignment for Transfer Learning
* Mind Your Neighbours: Image Annotation With Metadata Neighbourhood Graph Co-Attention Networks
* Minimal Solvers for Mini-Loop Closures in 3D Multi-Scan Alignment
* MirrorGAN: Learning Text-To-Image Generation by Redescription
* Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach
* Mixed Effects Neural Networks (MeNets) With Applications to Gaze Estimation
* Mixture Density Generative Adversarial Networks
* MMFace: A Multi-Metric Regression Network for Unconstrained Face Reconstruction
* MnasNet: Platform-Aware Neural Architecture Search for Mobile
* MobileNet-SSD MicroScope using adaptive error correction algorithm: real-time detection of license plates on mobile devices
* Modality Compensation Network: Cross-Modal Adaptation for Action Recognition
* Modality-correlation-aware sparse representation for RGB-infrared object tracking
* Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis
* Model Optimization Boosting Framework for Linear Model Hash Learning
* Model Predictive-Based Shared Control for Brain-Controlled Driving
* Model-Based Chemical Exchange Saturation Transfer MRI for Robust z-Spectrum Analysis
* Model-Blind Video Denoising via Frame-To-Frame Training
* Model-Free Distortion Rectification Framework Bridged by Distortion Distribution Map
* Modeling Local Geometric Structure of 3D Point Clouds Using Geo-CNN
* Modeling Point Clouds With Self-Attention and Gumbel Subset Sampling
* Modelling Global Ionosphere Based on Multi-Frequency, Multi-Constellation GNSS Observations and IRI Model
* Modifying an Image Fusion Approach for High Spatiotemporal LST Retrieval in Surface Dryness and Evapotranspiration Estimations
* MODIS Global Vegetation Fractional Cover Product 2001-2018: Characteristics of Vegetation Fractional Cover in Grasslands and Savanna Woodlands, The
* Modularized Textual Grounding for Counterfactual Resilience
* Modulating Image Restoration With Continual Levels via Adaptive Feature Modification Layers
* Moment Retrieval via Cross-Modal Interaction Networks With Query Reconstruction
* Monitoring Droughts in the Greater Changbai Mountains Using Multiple Remote Sensing-Based Drought Indices
* Monitoring Mega-Crown Leaf Turnover from Space
* Monitoring of Coral Reefs Using Artificial Intelligence: A Feasible and Cost-Effective Approach
* Monitoring Rock Glacier Kinematics with Satellite Synthetic Aperture Radar
* Monitoring Three-Decade Expansion of China's Major Cities Based on Satellite Remote Sensing Images
* Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstruction
* Monocular Depth Estimation Using Relative Depth Maps
* Monocular human pose estimation: A survey of deep learning-based methods
* Monocular Total Capture: Posing Face, Body, and Hands in the Wild
* mostly complete chart of Neural Networks, A
* Motion Estimation of Non-Holonomic Ground Vehicles From a Single Feature Correspondence Measured Over N Views
* MOTS: Multi-Object Tracking and Segmentation
* Moving Object Detection Under Discontinuous Change in Illumination Using Tensor Low-Rank and Invariant Sparse Decomposition
* MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation
* MSCap: Multi-Style Image Captioning With Unpaired Stylized Text
* Multi-Adversarial Discriminative Deep Domain Generalization for Face Presentation Attack Detection
* Multi-Agent Tensor Fusion for Contextual Trajectory Prediction
* Multi-Channel Attention Selection GAN With Cascaded Semantic Guidance for Cross-View Image Translation
* Multi-Class Joint Subspace Learning for Cross-Modal Retrieval
* Multi-Evidence and Multi-Modal Fusion Network for Ground-Based Cloud Recognition
* Multi-Granularity Generator for Temporal Action Proposal
* Multi-label chest X-ray image classification via category-wise residual attention learning
* Multi-Label Image Recognition With Graph Convolutional Networks
* Multi-Level Context Ultra-Aggregation for Stereo Matching
* Multi-level feature fusion model-based real-time person re-identification for forensics
* Multi-Level Multimodal Common Semantic Space for Image-Phrase Grounding
* Multi-Matrices Low-Rank Decomposition With Structural Smoothness for Image Denoising
* Multi-Objective Modeling Method of Multi-Satellite Imaging Task Planning for Large Regional Mapping, A
* Multi-Observation Least-Squares Inversion for GNSS-Acoustic Seafloor Positioning, A
* Multi-Person Articulated Tracking With Spatial and Temporal Embeddings
* Multi-Person Pose Estimation With Enhanced Channel-Wise and Spatial Information
* Multi-Scale 3D U-Nets: An approach to automatic segmentation of brain tumor
* Multi-Scale Deep Residual Learning-Based Single Image Haze Removal via Image Decomposition
* Multi-Scale Evaluation of Drone-Based Multispectral Surface Reflectance and Vegetation Indices in Operational Conditions
* Multi-Scale Frequency Reconstruction for Guided Depth Map Super-Resolution via Deep Residual Network
* Multi-Scale Geometric Consistency Guided Multi-View Stereo
* Multi-Scale Spatial-Temporal Attention Model for Person Re-Identification in Videos, A
* Multi-Similarity Loss With General Pair Weighting for Deep Metric Learning
* Multi-skill aware task assignment in real-time spatial crowdsourcing
* Multi-Source Weak Supervision for Saliency Detection
* Multi-Spectral Image Classification Based on an Object-Based Active Learning Approach
* Multi-Step Prediction of Occupancy Grid Maps With Recurrent Neural Networks
* Multi-Target Embodied Question Answering
* Multi-Task Consistency-Preserving Adversarial Hashing for Cross-Modal Retrieval
* Multi-task learning for object keypoints detection and classification
* Multi-Task Learning of Hierarchical Vision-Language Representation
* Multi-Task Multi-Sensor Fusion for 3D Object Detection
* Multi-Task Self-Supervised Object Detection via Recycling of Bounding Box Annotations
* Multi-View Photometric Stereo: A Robust Solution and Benchmark Dataset for Spatially Varying Isotropic Materials
* Multiclassifier for severity-level categorization of glioma tumors using multimodal magnetic resonance imaging brain images
* Multifractal Detrended Cross-Correlation Analysis of Global Methane and Temperature
* Multimodal Explanations by Predicting Counterfactuality in Videos
* Multimodal Saliency Model for Videos With High Audio-Visual Correspondence, A
* Multiobject Fusion With Minimum Information Loss
* Multiple sparse priors technique with optimized patches for brain source localization
* Multiscale bilateral filtering to detect 3D interest points
* Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net
* Multispectral Imaging for Fine-Grained Recognition of Powders on Complex Backgrounds
* Multispectral Remote Sensing Data Are Effective and Robust in Mapping Regional Forest Soil Organic Carbon Stocks in a Northeast Forest Region in China
* Multistage GAN for Fabric Defect Detection
* Multistage Refinement Network for Salient Object Detection, A
* Multiview 2D/3D Rigid Registration via a Point-Of-Interest Network for Tracking and Triangulation
* MUREL: Multimodal Relational Reasoning for Visual Question Answering
* Mutual Learning Method for Salient Object Detection With Intertwined Multi-Supervision, A
* Mutual Learning of Complementary Networks via Residual Correction for Improving Semi-Supervised Classification
* Mutually Guided Image Filtering
* MVF-Net: Multi-View 3D Face Morphable Model Regression
* MVTec AD: A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection
* NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection
* Natural and Realistic Single Image Super-Resolution With Explicit Natural Manifold Discrimination
* NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction
* Neighbourhood Watch: Referring Expression Comprehension via Language-Guided Graph Attention Networks
* Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds Using Convolutional Neural Networks
* NetTailor: Tuning the Architecture, Not Just the Weights
* Networks for Joint Affine and Non-Parametric Image Registration
* Neural Illumination: Lighting Prediction for Indoor Environments
* Neural network based non-invasive method to detect anemia from images of eye conjunctiva
* Neural Network Based on SPD Manifold Learning for Skeleton-Based Hand Gesture Recognition, A
* Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization
* Neural Rerendering in the Wild
* Neural RGB(r)D Sensing: Depth and Uncertainty From a Video Camera
* Neural Scene Decomposition for Multi-Person Motion Capture
* Neural Sequential Phrase Grounding (SeqGROUND)
* Neural Task Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration
* Neural Temporal Model for Human Motion Prediction, A
* Neuro-Inspired Eye Tracking With Eye Movement Dynamics
* Neurobiological Evaluation Metric for Neural Network Model Search, A
* New Deep Learning Network for Automatic Bridge Detection from SAR Images Based on Balanced and Attention Mechanism, A
* New Design for Compact Color Screen Sets for High-End Digital Color Press
* New Framework for Automatic Airports Extraction from SAR Images Using Multi-Level Dual Attention Mechanism, A
* New GAN-Based Anomaly Detection (GBAD) Approach for Multi-Threat Object Classification on Large-Scale X-Ray Security Images, A
* New Individual Tree Crown Delineation Method for High Resolution Multispectral Imagery, A
* New Potential of Deep Convective Clouds as a Calibration Target for a Geostationary UV/VIS Hyperspectral Spectrometer, The
* NLME: a nonlinear motion estimation-based compression method for animated mesh sequence
* NM-Net: Mining Reliable Neighbors for Robust Feature Correspondences
* Noise Removal from Remote Sensed Images by NonLocal Means with OpenCL Algorithm
* Noise-Aware Unsupervised Deep Lidar-Stereo Fusion
* Noise-robust transparent visualization of large-scale point clouds acquired by laser scanning
* Noise-Tolerant Paradigm for Training Face Recognition CNNs
* Noise2Void - Learning Denoising From Single Noisy Images
* Non-Adversarial Image Synthesis With Generative Latent Nearest Neighbors
* Non-aligned double JPEG compression detection based on refined Markov features in QDCT domain
* Non-Local Meets Global: An Integrated Paradigm for Hyperspectral Denoising
* Non-Negative Matrix Factorization With Locality Constrained Adaptive Graph
* Nonparametric Distribution Prior Model for Image Segmentation
* Normalized Diversification
* Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation
* Not All Areas Are Equal: Transfer Learning for Semantic Segmentation via Hierarchical Region Selection
* Not All Frames Are Equal: Weakly-Supervised Video Grounding With Contextual Similarity and Visual Clustering Losses
* Not Using the Car to See the Sidewalk -- Quantifying and Controlling the Effects of Context in Classification and Segmentation
* novel algebraic solution to the perspective-three-line pose problem, A
* Novel Approach for Predicting the Height of the Water-Flow Fracture Zone in Undersea Safety Mining, A
* Novel Approach to Automatic Traffic Sign Inventory Based on Mobile Mapping System Data and Deep Learning
* Novel Dynamic Programming Approach to the Train Marshalling Problem, A
* Novel Ensemble of MCDM-Artificial Intelligence Techniques for Groundwater-Potential Mapping in Arid and Semi-Arid Regions (Iran)
* Novel Key-Frames Selection Framework for Comprehensive Video Summarization, A
* Novel multiple images encryption algorithm using CML system and DNA encoding
* Novel Retinex-Based Fractional-Order Variational Model for Images With Severely Low Light, A
* Object Counting and Instance Segmentation With Image-Level Supervision
* Object detection with class aware region proposal network and focused attention objective
* Object Detection With Location-Aware Deformable Convolution and Backward Attention Filtering
* Object Discovery in Videos as Foreground Motion Clustering
* Object Instance Annotation With Deep Extreme Level Set Evolution
* Object Tracking by Reconstruction With View-Specific Discriminative Correlation Filters
* Object-Aware Aggregation With Bidirectional Temporal Graph for Video Captioning
* Object-based incremental registration of terrestrial point clouds in an urban environment
* Object-Based Mapping of Gullies Using Optical Images: A Case Study in the Black Soil Region, Northeast of China
* Object-Centric Auto-Encoders and Dummy Anomalies for Abnormal Event Detection in Video
* Object-Driven Text-To-Image Synthesis via Adversarial Training
* Occlusion-Net: 2D/3D Occluded Keypoint Localization Using Graph Networks
* Occupancy Networks: Learning 3D Reconstruction in Function Space
* OCGAN: One-Class Novelty Detection Using GANs With Constrained Latent Representations
* Octree Guided CNN With Spherical Kernels for 3D Point Clouds
* OCTRexpert: A Feature-Based 3D Registration Method for Retinal OCT Images
* ODE-Inspired Network Design for Single Image Super-Resolution
* OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks
* Oil Spill Discrimination by Using General Compact Polarimetric SAR Features
* OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge
* On Exploring Undetermined Relationships for Visual Relationship Detection
* On Finding Gray Pixels
* On Implicit Filter Level Sparsity in Convolutional Neural Networks
* On Learning Density Aware Embeddings
* On Mathematical Models of Optimal Video Memory Design
* On Reliable Neural Network Sensorimotor Control in Autonomous Vehicles
* On Security Enhancement of Steganography via Generative Adversarial Image
* On Stabilizing Generative Adversarial Training With Noise
* On the Capabilities of the Italian Airborne FMCW AXIS InSAR System
* On the Continuity of Rotation Representations in Neural Networks
* On the Intrinsic Dimensionality of Image Representations
* On the Structural Sensitivity of Deep Convolutional Networks to the Directions of Fourier Basis Functions
* On Zero-Shot Recognition of Generic Objects
* Online High Rank Matrix Completion
* Online Multiple Maneuvering Vehicle Tracking System Based on Multi-Model Smooth Variable Structure Filter
* Open-Ended Video Question Answering via Multi-Modal Conditional Adversarial Networks
* Optical-and-Radar Image Fusion for Dynamic Estimation of Spin Satellites
* Optimal Decision Rules for Simple Hypothesis Testing Under General Criterion Involving Error Probabilities
* Optimal Inversion of Conversion Parameters from Satellite AOD to Ground Aerosol Extinction Coefficient Using Automatic Differentiation
* Optimal Parameter Design for Estimation Theoretic Secure Broadcast
* Optimal resource utilisation algorithm for visible light communication-based vehicular ad-hoc networks
* Optimisation for image salient object detection based on semantic-aware clustering and CRF
* Optimized Sensing Matrix for Single Pixel Multi-Resolution Compressive Spectral Imaging
* Optimizing deep belief network parameters using grasshopper algorithm for liver disease classification
* Optimizing Excitation Coil Currents for Advanced Magnetorelaxometry Imaging
* Orientation Prior and Consistent Model Selection Increase Sensitivity of Tract-Based Spatial Statistics in Crossing-Fiber Regions
* Orthogonal Decomposition Network for Pixel-Wise Binary Classification
* Out-Of-Distribution Detection for Generalized Zero-Shot Action Recognition
* Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction
* P2SGrad: Refined Gradients for Optimizing Deep Face Models
* P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification
* PA3D: Pose-Action 3D Machine for Video Recognition
* Panoptic Feature Pyramid Networks
* Panoptic Segmentation
* Parallax Shift Effect Correction Based on Cloud Height for Geostationary Satellites and Radar Observations, A
* Parallel implementation for 3D medical volume fuzzy segmentation
* Parallel Optimal Transport GAN
* Parameter-Free Gaussian PSF Model for Extended Depth of Field in Brightfield Microscopy
* Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack
* Parametric Top-View Representation of Complex Road Scenes, A
* Parsing R-CNN for Instance-Level Human Analysis
* Parsing Synthetic Aperture Radar Measurements of Snow in Complex Terrain: Scaling Behaviour and Sensitivity to Snow Wetness and Landcover
* Part-based visual tracking with spatially regularized correlation filters
* Part-Regularized Near-Duplicate Vehicle Re-Identification
* Partial Order Pruning: For Best Speed/Accuracy Trade-Off in Neural Architecture Search
* PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding
* PartNet: A Recursive Part Decomposition Network for Fine-Grained and Hierarchical Shape Segmentation
* Patch-Based Discriminative Feature Learning for Unsupervised Person Re-Identification
* Patch-Based Progressive 3D Point Set Upsampling
* Path-Based Analysis for Structure-Preserving Image Filtering
* Path-Invariant Map Networks
* Pattern complexity-based JND estimation for quantization watermarking
* Pattern recognition based on compound complex shape-invariant Radon transform
* Pattern-Affinitive Propagation Across Depth, Surface Normal and Semantic Segmentation
* Pay Attention! - Robustifying a Deep Visuomotor Policy Through Task-Focused Visual Attention
* PCAN: 3D Attention Map Learning Using Contextual Information for Point Cloud Based Retrieval
* PDE Acceleration for Active Contours
* Pedestrian Detection With Autoregressive Network Phases
* PedPIV: Pedestrian Velocity Extraction From Particle Image Velocimetry
* Peeking Into the Future: Predicting Future Person Activities and Locations in Videos
* PEPSI: Fast Image Inpainting With Parallel Decoding Network
* Perceive Where to Focus: Learning Visibility-Aware Part-Level Features for Partial Person Re-Identification
* Perceptual Prediction Framework for Self Supervised Event Segmentation, A
* Perfect Match: 3D Point Cloud Matching With Smoothed Densities, The
* Performance enhancement of swarm intelligence techniques in dementia classification using dragonfly-based hybrid algorithms
* Performance Evaluation of Troposphere Estimated from Galileo-Only Multi-Frequency Observations
* Period Determination in Cyclo-Stationary Signals by Autocorrelation and Ramanujan Subspaces
* Personality-Assisted Multi-Task Learning for Generic and Personalized Image Aesthetics Assessment
* Perturbation Analysis of the 8-Point Algorithm: A Case Study for Wide FoV Cameras
* PGA-SiamNet: Pyramid Feature-Based Attention-Guided Siamese Network for Remote Sensing Orthoimagery Building Change Detection
* Phase-Only Image Based Kernel Estimation for Single Image Blind Deblurring
* Photo Wake-Up: 3D Character Animation From a Single Photo
* Photographic style transfer
* Photometric camera characterization from a single image with invariance to light intensity and vignetting
* Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction
* Photometric Stereo in Participating Media Using an Analytical Solution for Shape-Dependent Forward Scatter
* Photon-Flooded Single-Photon 3D Cameras
* PIEs: Pose Invariant Embeddings
* PifPaf: Composite Fields for Human Pose Estimation
* Pixel-Adaptive Convolutional Neural Networks
* PlaneRCNN: 3D Plane Detection and Reconstruction From a Single Image
* Pluralistic Image Completion
* PMS-Net: Robust Haze Removal Based on Patch Map for Single Images
* Point Cloud Denoising via Feature Graph Laplacian Regularization
* Point Cloud Oversegmentation With Graph-Structured Deep Metric Learning
* Point in, Box Out: Beyond Counting Persons in Crowds
* Point-To-Pose Voting Based Hand Pose Estimation Using Residual Permutation Equivariant Layer
* PointConv: Deep Convolutional Networks on 3D Point Clouds
* PointFlowNet: Learning Representations for Rigid Motion Estimation From Point Clouds
* Pointing Novel Objects in Image Captioning
* PointNetLK: Robust and Efficient Point Cloud Registration Using PointNet
* PointPillars: Fast Encoders for Object Detection From Point Clouds
* PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud
* PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing
* Poisson-Gaussian Denoising Dataset With Real Fluorescence Microscopy Images, A
* Polarimetric Camera Calibration Using an LCD Monitor
* PolSAR Image Classification with Lightweight 3D Convolutional Networks
* Polycrystalline silicon wafer defect segmentation based on deep convolutional neural networks
* Polynomial Representation for Persistence Diagram
* Polysemous Visual-Semantic Embedding for Cross-Modal Retrieval
* Pose2Seg: Detection Free Human Instance Segmentation
* PoseFix: Model-Agnostic General Human Pose Refinement Network
* Pothole Detection Based on Disparity Transformation and Road Surface Modeling
* PPGNet: Learning Point-Pair Graph for Line Segment Detection
* Practical algorithms for allocating the roadside units in VANET
* Practical Coding Function Design for Time-Of-Flight Imaging
* Practical Full Resolution Learned Lossless Image Compression
* practical methodology for computer-aided design of custom 3D printable casts for wrist fractures, A
* Precipitation and Minimum Temperature are Primary Climatic Controls of Alpine Grassland Autumn Phenology on the Qinghai-Tibet Plateau
* Precipitation Inferred from Soil Moisture (PrISM) Near Real-Time Rainfall Product: Evaluation and Comparison, The
* Precise Detection in Densely Packed Scenes
* Predicting Future Frames Using Retrospective Cycle GAN
* Predicting Intentions from Motion: The Subject-Adversarial Adaptation Approach
* Predicting Microhabitat Suitability for an Endangered Small Mammal Using Sentinel-2 Data
* Predicting Visible Image Differences Under Varying Display Brightness and Viewing Distance
* Prediction and Sampling With Local Graph Transforms for Quasi-Lossless Light Field Compression
* Preference-aware sequence matching for location-based services
* Preliminary Evaluation of the Error Budgets in the TALIS Measurements and Their Impact on the Retrievals
* Primary Quantization Matrix Estimation of Double Compressed JPEG Images via CNN
* Privacy Preserving Image-Based Localization
* Privacy Protection in Street-View Panoramas Using Depth and Multi-View Imagery
* privacy-preserving image retrieval method based on deep learning and adaptive weighted fusion, A
* Probabilistic End-To-End Noise Correction for Learning With Noisy Labels
* Probabilistic Permutation Synchronization Using the Riemannian Structure of the Birkhoff Polytope
* Profitable Taxi Travel Route Recommendation Based on Big Taxi Trajectory Data
* Progressive Attention Memory Network for Movie Story Question Answering
* Progressive Ensemble Networks for Zero-Shot Recognition
* Progressive Feature Alignment for Unsupervised Domain Adaptation
* Progressive generative adversarial networks with reliable sample identification
* Progressive Image Deraining Networks: A Better and Simpler Baseline
* Progressive Pose Attention Transfer for Person Image Generation
* Progressive Teacher-Student Learning for Early Action Prediction
* Propagation Mechanism for Deep and Wide Neural Networks
* Pros and Cons: Rank-Aware Temporal Attention for Skill Determination in Long Videos, The
* Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving
* Pushing the Boundaries of View Extrapolation With Multiplane Images
* Pushing the Envelope for RGB-Based Dense 3D Hand Pose Estimation via Neural Rendering
* Putting Humans in a Scene: Learning Affordance in 3D Indoor Environments
* PVNet: Pixel-Wise Voting Network for 6DoF Pose Estimation
* PWStableNet: Learning Pixel-Wise Warping Maps for Video Stabilization
* Pyramid Feature Attention Network for Saliency Detection
* Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training
* QATM: Quality-Aware Template Matching for Deep Learning
* QoS-Based Robust Cooperative-Jamming-Aided Beamforming for Correlated Wiretap Channels
* Quality assessment framework for video contextualisation of personal videos
* Quantifying Long-Term Land Surface and Root Zone Soil Moisture over Tibetan Plateau
* Quantifying Western U.S. Rangelands as Fractional Components with Multi-Resolution Remote Sensing and In Situ Data
* Quantitative Landscape Assessment Using LiDAR and Rendered 360° Panoramic Images
* Quantitatively Assessing and Attributing Land Use and Land Cover Changes on China's Loess Plateau
* Quantization Networks
* Quasi Fourier-Mellin Transform for Affine Invariant Features
* Quasi-Unsupervised Color Constancy
* Query-Guided End-To-End Person Search
* Quick automatic head image matting method based on segmentation and propagation
* R2GAN: Cross-Modal Recipe Retrieval With Generative Adversarial Network
* R3 Adversarial Network for Cross Model Face Recognition
* RADet: Refine Feature Pyramid Network and Multi-Layer Attention Network for Arbitrary-Oriented Object Detection of Remote Sensing Images
* Radial Distortion Triangulation
* Radiometric Degradation Curves for the ASTER VNIR Processing Using Vicarious and Lunar Calibrations
* Ranked List Loss for Deep Metric Learning
* Rare Event Detection Using Disentangled Representation Learning
* Rate-Accuracy Trade-Off in Video Classification With Deep Convolutional Neural Networks
* RAVEN: A Dataset for Relational and Analogical Visual REasoNing
* Ray-Space Projection Model for Light Field Camera
* Re-Identification Supervised Texture Generation
* Re-Identification With Consistent Attentive Siamese Networks
* Re-Plannable Automated Parking System With a Standalone Around View Monitor for Narrow Parking Lots
* Re-Ranking via Metric Fusion for Object Retrieval and Person Re-Identification
* Real-Time Burst Photo Selection Using a Light-Head Adversarial Network
* Real-Time Dense Reconstruction of Tissue Surface From Stereo Optical Video
* Real-time estimation for the parameters of Gaussian filtering via deep learning
* Real-time human cross-race aging-related face appearance detection with deep convolution architecture
* real-time image forensics scheme based on multi-domain learning, A
* real-time reversible image authentication method using uniform embedding strategy, A
* Real-Time Self-Adaptive Deep Stereo
* real-time typhoon eye detection method based on deep learning for meteorological information forensics, A
* Realistic Film Noise Generation Based on Experimental Noise Spectra
* Reasoning Visual Dialogs With Structural and Partial Observations
* Reasoning-RCNN: Unifying Adaptive Global Reasoning Into Large-Scale Object Detection
* Recent Accelerating Glacier Mass Loss of the Geladandong Mountain, Inner Tibetan Plateau, Estimated from ZiYuan-3 and TanDEM-X Measurements
* Recent Advances in 3D Object Detection in the Era of Deep Neural Networks: A Survey
* Recognizing Profile Faces by Imagining Frontal View
* Recurrent Attentive Zooming for Joint Crowd Counting and Precise Localization
* Recurrent Back-Projection Network for Video Super-Resolution
* Recurrent MVSNet for High-Resolution Multi-View Stereo Depth Inference
* Recurrent Neural Network for (Un-)Supervised Learning of Monocular Video Visual Odometry and Depth
* Recurrent Neural Network for Particle Tracking in Microscopy Images Using Future Information, Track Hypotheses, and Multiple Detections, A
* Recurrent Neural Networks With Intra-Frame Iterations for Video Deblurring
* Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans
* Recursive Visual Attention in Visual Dialog
* Reducing the Hausdorff Distance in Medical Image Segmentation With Convolutional Neural Networks
* Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition
* Reevaluating Mare Moscoviense And Its Vicinity Using Chang'E-2 Microwave Sounder Data
* Refine and Distill: Exploiting Cycle-Inconsistency and Knowledge Distillation for Unsupervised Monocular Depth Estimation
* Refined SNR Based Stochastic Model to Reduce Site-Dependent Effects, A
* Reflection Removal Using a Dual-Pixel Sensor
* Reflective and Fluorescent Separation Under Narrow-Band Illumination
* Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition
* Region Proposal by Guided Anchoring
* Regional Forest Volume Estimation by Expanding LiDAR Samples Using Multi-Sensor Satellite Data
* Regionalization of Coarse Scale Soil Moisture Products Using Fine-Scale Vegetation Indices: Prospects and Case Study
* Registration and matching method for directed point set with orientation attributes and local information
* Regretful Agent: Heuristic-Aided Navigation Through Progress Estimation, The
* RegularFace: Deep Face Recognition via Exclusive Regularization
* Regularizing Activation Distribution for Training Binarized Deep Networks
* Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation
* Relation-Augmented Fully Convolutional Network for Semantic Segmentation in Aerial Scenes, A
* Relation-Shape Convolutional Neural Network for Point Cloud Analysis
* Relational Action Forecasting
* Relational Knowledge Distillation
* Relationship between Light Use Efficiency and Photochemical Reflectance Index Corrected Using a BRDF Model at a Subtropical Mixed Forest
* Reliability of Gridded Precipitation Products in the Yellow River Basin, China
* Reliable and Efficient Image Cropping: A Grid Anchor Based Approach
* Remote Sensing and Social Sensing Data Reveal Scale-Dependent and System-Specific Strengths of Urban Heat Island Determinants
* Remotely Sensed Mid-Channel Bar Dynamics in Downstream of the Three Gorges Dam, China
* Removal of noise in MRI images using a block difference-based filtering approach
* RENAS: Reinforced Evolutionary Neural Architecture Search
* Repaid Identification and Prediction of Cadmium-Lead Cross-Stress of Different Stress Levels in Rice Canopy Based on Visible and Near-Infrared Spectroscopy
* REPAIR: Removing Representation Bias by Dataset Resampling
* RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection
* RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation
* RePr: Improved Training of Convolutional Filters
* Representation Flow for Action Recognition
* Representation Similarity Analysis for Efficient Task Taxonomy and Transfer Learning
* RES-PCA: A Scalable Approach to Recovering Low-Rank Matrices
* Residual Convolutional Neural Network for Polarimetric SAR Image Super-Resolution, A
* Residual Networks for Light Field Image Super-Resolution
* Residual Regression With Semantic Prior for Crowd Counting
* Rethinking Knowledge Graph Propagation for Zero-Shot Learning
* Rethinking the Evaluation of Video Summaries
* Retinal Vascular Network Topology Reconstruction and Artery/Vein Classification via Dominant Set Clustering
* Retrieval of Fine-Resolution Aerosol Optical Depth (AOD) in Semiarid Urban Areas Using Landsat Data: A Case Study in Urumqi, NW China
* Retrieval of Sediment Filling Factor in a Salt Panne from Multi-View Hyperspectral Imagery
* Retrieval-Augmented Convolutional Neural Networks Against Adversarial Examples
* Revealing Scenes by Inverting Structure From Motion Reconstructions
* Reversal of Aerosol Properties in Eastern China with Rapid Decline of Anthropogenic Emissions
* Reverse Attention-Based Residual Network for Salient Object Detection
* Reversible GANs for Memory-Efficient Image-To-Image Translation
* Review of Fault Detection and Diagnosis for the Traction System in High-Speed Trains, A
* Revisiting EmbodiedQA: A Simple Baseline and Beyond
* Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning
* Revisiting Perspective Information for Efficient Crowd Counting
* Revisiting Self-Supervised Visual Representation Learning
* RF-Net: An End-To-End Image Matching Network Based on Receptive Field
* RGB-T Salient Object Detection via Fusing Multi-Level CNN Features
* RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion
* RIFT: Multi-Modal Image Matching Based on Radiation-Variation Insensitive Feature Transform
* RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion
* Rob-GAN: Generator, Discriminator, and Adversarial Attacker
* Robust and Secure Image Fingerprinting Learned by Neural Network
* Robust Attentional Aggregation of Deep Feature Sets for Multi-view 3D Reconstruction
* Robust Design of Connected Cruise Control Among Human-Driven Vehicles
* Robust DWT-Based Compressed Domain Video Watermarking Technique, A
* Robust Facial Landmark Detection via Occlusion-Adaptive Deep Networks
* Robust Hierarchical-Optimization RLS Against Sparse Outliers
* Robust Histopathology Image Analysis: To Label or to Synthesize?
* Robust Local Spectral Descriptor for Matching Non-Rigid Shapes With Incompatible Shape Structures, A
* Robust Parking Detection Algorithm Against Electric Railway Magnetic Field Interference, A
* Robust Point Cloud Based Reconstruction of Large-Scale Outdoor Scenes
* Robust Structural Low-Rank Tracking
* Robust Subspace Clustering With Independent and Piecewise Identically Distributed Noise Modeling
* Robust Video Stabilization by Optimization in CNN Weight Space
* Robust Visual Tracking via Hierarchical Particle Filter and Ensemble Deep Features
* Robustness of 3D Deep Learning in an Adversarial Setting
* Robustness Verification of Classification Deep Neural Networks via Linear Programming
* Robustness via Curvature Regularization, and Vice Versa
* ROI Pooled Correlation Filters for Visual Tracking
* ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape
* Role of Improved Ground Positioning and Forest Structural Complexity When Performing Forest Inventory Using Airborne Laser Scanning, The
* Rotation-Aware and Multi-Scale Convolutional Neural Network for Object Detection in Remote Sensing Images
* Rules of the Road: Predicting Driving Behavior With a Convolutional Model of Semantic Interactions
* Rust Detection of Steel Structure via One-Class Classification and L2 Sparse Representation with Decision Fusion
* RVOS: End-To-End Recurrent Network for Video Object Segmentation
* S2R-tree: a pivot-based indexing structure for semantic-aware spatial keyword search
* S4Net: Single Stage Salient-Instance Segmentation
* SAIL-VOS: Semantic Amodal Instance Level Video Object Segmentation - A Synthetic Dataset and Baselines
* Salient Object Detection With Pyramid Attention and Salient Edges
* Sampling Techniques for Large-Scale Object Detection From Sparsely Annotated Objects
* Satellite-Based Evapotranspiration in Hydrological Model Calibration
* Satellite-Based Operational Real-Time Drought Monitoring in the Transboundary Lancang-Mekong River Basin
* Satisfied-User-Ratio Modeling for Compressed Video
* Scalable Convolutional Neural Network for Image Compressed Sensing
* Scale specified single shot multibox detector
* Scale-Adaptive Neural Dense Features: Learning via Hierarchical Context Aggregation
* Scan2CAD: Learning CAD Model Alignment in RGB-D Scans
* Scan2Mesh: From Unstructured Range Scans to 3D Meshes
* Scattering Feature Set Optimization and Polarimetric SAR Classification Using Object-Oriented RF-SFS Algorithm in Coastal Wetlands
* Scene Categorization From Contours: Medial Axis Based Salience Measures
* Scene Graph Generation With External Knowledge and Image Reconstruction
* Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks
* Scene Parsing via Integrated Classification Model and Variance-Based Regularization
* SceneCode: Monocular Dense Semantic Reconstruction Using Learned Encoded Scene Representations
* SceneFlowFields++: Multi-frame Matching, Visibility Prediction, and Robust Interpolation for Scene Flow Estimation
* SCOPS: Self-Supervised Co-Part Segmentation
* ScratchDet: Training Single-Shot Object Detectors From Scratch
* SDC - Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks
* SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration Without Correspondences
* Sea-Thru: A Method for Removing Water From Underwater Images
* Seamless Scene Segmentation
* Search inliers based on redundant geometric constraints
* Searching for a Robust Neural Architecture in Four GPU Hours
* Second-Order Attention Network for Single Image Super-Resolution
* Secure and Privacy-Preserving Technique Based on Contrast-Enhancement Reversible Data Hiding and Plaintext Encryption for Medical Images, A
* Secure real-time image protection scheme with near-duplicate detection in cloud computing
* See More, Know More: Unsupervised Video Object Segmentation With Co-Attention Siamese Networks
* SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization
* Segmentation-Driven 6D Object Pose Estimation
* Selective Kernel Networks
* Selective Sensor Fusion for Neural Visual-Inertial Odometry
* Selective Spatial Regularization by Reinforcement Learned Decision Making for Object Tracking
* self-adaptive mean shift tree-segmentation method Using UAV LiDAR data, A
* Self-Calibrating Deep Photometric Stereo Networks
* Self-Critical N-Step Training for Image Captioning
* Self-Enhanced Convolutional Network for Facial Video Hallucination
* Self-Supervised 3D Hand Pose Estimation Through Training by Fitting
* Self-Supervised Adaptation of High-Fidelity Face Models for Monocular Performance Tracking
* Self-Supervised Convolutional Subspace Clustering Network
* Self-Supervised GANs via Auxiliary Rotation Loss
* Self-Supervised Learning of 3D Human Pose Using Multi-View Geometry
* Self-Supervised Learning via Conditional Motion Propagation
* Self-Supervised Representation Learning by Rotation Feature Decoupling
* Self-Supervised Representation Learning From Videos for Facial Action Unit Detection
* Self-Supervised Spatio-Temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics
* Self-Supervised Spatiotemporal Learning via Video Clip Order Prediction
* SelFlow: Self-Supervised Learning of Optical Flow
* Semantic Alignment: Finding Semantically Consistent Ground-Truth for Facial Landmark Detection
* Semantic Attribute Matching Networks
* Semantic Component Decomposition for Face Attribute Manipulation
* Semantic Correlation Promoted Shape-Variant Context for Segmentation
* Semantic Graph Convolutional Networks for 3D Human Pose Regression
* Semantic Image Networks for Human Action Recognition
* Semantic Image Synthesis With Spatially-Adaptive Normalization
* Semantic Projection Network for Zero- and Few-Label Semantic Segmentation
* Semantic Segmentation With Context Encoding and Multi-Path Decoding
* Semantically Aligned Bias Reducing Zero Shot Learning
* Semantically Coherent 4D Scene Flow of Dynamic Scenes
* Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-Based Image Retrieval
* Semantics Disentangling for Text-To-Image Generation
* Semi-supervised cross-modal common representation learning with vector-valued manifold regularization
* Semi-Supervised Learning With Graph Learning-Convolutional Networks
* Semi-supervised stacked autoencoder-based deep hierarchical semantic feature for real-time fingerprint liveness detection
* Semi-Supervised Transfer Learning for Image Rain Removal
* Semiautomatic Pixel-Object Method for Detecting Landslides Using Multitemporal ALOS-2 Intensity Images, A
* Semidefinite Programming Methods for Alleviating Clock Synchronization Bias and Sensor Position Errors in TDOA Localization
* Sensing Matrix Design for Compressive Spectral Imaging via Binary Principal Component Analysis
* Sensitive-Sample Fingerprinting of Deep Neural Networks
* Sensitivity of Multi-spectral Satellite Sensors to Benthic Habitat Change, The
* Separate to Adapt: Open Set Domain Adaptation via Progressive Separation
* Sequence in sequence for video captioning
* Sequence-To-Sequence Domain Adaptation Network for Robust Text Image Recognition
* SFNet: Learning Object-Aware Semantic Correspondence
* Shape Preserving Properties with Constraints on the Tension Parameter of Binary Three-Point Approximating Subdivision Scheme
* Shape Robust Text Detection With Progressive Scale Expansion Network
* Shape Unicode: A Unified Shape Representation
* Shape-Based Statistical Inversion Method for EIT/URT Dual-Modality Imaging, A
* Shape-From-Template with Curves
* Shape2Motion: Joint Analysis of Motion Parts and Attributes From 3D Shapes
* Shapes and Context: In-The-Wild Image Synthesis and Manipulation
* Shearlet Transform-Based Light Field Compression Under Low Bitrates
* ShieldNets: Defending Against Adversarial Attacks Using Probabilistic Adversarial Robustness
* Shifting More Attention to Video Salient Object Detection
* Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions
* Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking
* SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks
* SiCloPe: Silhouette-Based Clothed People
* Side Window Filtering
* Signal-To-Noise Ratio: A Robust Distance Metric for Deep Metric Learning
* SIGNet: Semantic Instance Aided Unsupervised 3D Geometry Perception
* Sim-Real Joint Reinforcement Transfer for 3D Indoor Navigation
* Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks
* Simple Baseline for Audio-Visual Scene-Aware Dialog, A
* Simple Pooling-Based Design for Real-Time Salient Object Detection, A
* Simplified Triangular Partitioning Mode in Versatile Video Coding
* Simulating the Impact of Urban Surface Evapotranspiration on the Urban Heat Island Effect Using the Modified RS-PM Model: A Case Study of Xuzhou, China
* SimulCap: Single-View Human Performance Capture With Cloth Simulation
* Simultaneous compression and quantization: A joint approach for efficient unsupervised hashing
* Simultaneous Photoacoustic Imaging and Cavitation Mapping in Shockwave Lithotripsy
* Simultaneous Segmentation and Classification of Mass Region From Mammograms Using a Mixed-Supervision Guided Deep Model
* Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network Using Truncated Gaussian Approximation
* Single Image Dehazing Using Haze-Lines
* Single Image Dehazing via Multi-scale Convolutional Neural Networks with Holistic Edges
* Single Image Depth Estimation Trained via Depth From Defocus Cues
* Single Image Deraining: A Comprehensive Benchmark Analysis
* Single Image Reflection Removal Beyond Linearity
* Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements
* Single-Frame Regularization for Temporally Stable CNNs
* Single-Image Piece-Wise Planar 3D Reconstruction via Associative Embedding
* SITUP: Scale Invariant Tracking Using Average Peak-to-Correlation Energy
* SIXray: A Large-Scale Security Inspection X-Ray Benchmark for Prohibited Item Discovery in Overlapping Images
* Skeleton-based action recognition by part-aware graph convolutional networks
* Skeleton-Based Action Recognition With Directed Graph Neural Networks
* Skeleton-Bridged Deep Learning Approach for Generating Meshes of Complex Topologies From Single RGB Images, A
* SketchGAN: Joint Sketch Completion and Recognition With Generative Adversarial Network
* Skin Surface Detection in 3D Optoacoustic Mesoscopy Based on Dynamic Programming
* Skin-Based Identification From Multispectral Image Data Using CNNs
* Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation
* Sliced Wasserstein Generative Models
* Slim DensePose: Thrifty Learning From Sparse Annotations and Motion Cues
* Slope Failure Prediction Using Random Forest Machine Learning and LiDAR in an Eroded Folded Mountain Belt
* Smart Parking: Using a Crowd of Taxis to Sense On-Street Parking Space Availability
* Smartphone Placement Within Vehicles
* Snapshot Distillation: Teacher-Student Optimization in One Generation
* Social Relation Recognition From Videos via Multi-Scale Spatial-Temporal Reasoning
* Social-IQ: A Question Answering Benchmark for Artificial Social Intelligence
* SoDeep: A Sorting Deep Net to Learn Ranking Loss Surrogates
* Soft biometrics-based face image retrieval using improved Grey Wolf Optimisation
* Soft Labels for Ordinal Regression
* Software expert discovery via knowledge domain embeddings in a collaborative network
* Soil Moisture Spatial and Temporal Resolution Improving Algorithm Based on Multi-Source Remote Sensing Data and GRNN Model, A
* SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints
* SOSNet: Second Order Similarity Regularization for Local Descriptor Learning
* Sparse Reconstruction of Log-Conductivity in Current Density Impedance Tomography
* SparseFool: A Few Pixels Make a Big Difference
* Spatial Attentive Single-Image Deraining With a High Quality Real Rain Dataset
* Spatial Fusion GAN for Image Synthesis
* Spatial Habitat Shifts of Oceanic Cephalopod (Ommastrephes bartramii) in Oscillating Climate
* Spatial keyword search: A survey
* Spatial-Aware Graph Relation Network for Large-Scale Object Detection
* Spatially Variant Linear Representation Models for Joint Filtering
* Spatio-Temporal Analysis of Rainfall and Drought Monitoring in the Tharparkar Region of Pakistan, A
* Spatio-Temporal Dynamics and Semantic Attribute Enriched Visual Encoding for Video Captioning
* Spatio-temporal fall event detection in complex scenes using attention guided LSTM
* Spatio-Temporal Mapping of Multi-Satellite Observed Column Atmospheric CO2 Using Precision-Weighted Kriging Method
* Spatio-Temporal Multi-Scale Binary Descriptor, A
* Spatio-Temporal Sub-Pixel Land Cover Mapping of Remote Sensing Imagery Using Spatial Distribution Information From Same-Class Pixels
* Spatio-Temporal Video Re-Localization by Warp LSTM
* Spatiotemporal Analysis of Land Use/Cover Patterns and Their Relationship with Land Surface Temperature in Nanjing, China
* Spatiotemporal CNN for Video Object Segmentation
* Spectral Imagery Tensor Decomposition for Semantic Segmentation of Remote Sensing Data through Fully Convolutional Networks
* Spectral Metric for Dataset Complexity Assessment
* Spectral Reconstruction From Dispersive Blur: A Novel Light Efficient Spectral Imager
* Specular Reflections Removal for Endoscopic Image Sequences With Adaptive-RPCA Decomposition
* Speech2Face: Learning the Face Behind a Voice
* Speed Invariant Time Surface for Learning to Detect Corner Points With Event-Based Cameras
* Sphere Generative Adversarial Network Based on Geometric Moment Matching
* SpherePHD: Applying CNNs on a Spherical PolyHeDron Representation of 360deg Images
* Spherical Fractal Convolutional Neural Networks for Point Cloud Recognition
* Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on N-Spheres
* SPM-Tracker: Series-Parallel Matching for Real-Time Visual Object Tracking
* Spot and Learn: A Maximum-Entropy Patch Sampler for Few-Shot Image Classification
* SpotTune: Transfer Learning Through Adaptive Fine-Tuning
* Squeezing the DCT to Fight Camouflage
* SR-LSTM: State Refinement for LSTM Towards Pedestrian Trajectory Prediction
* SRHandNet: Real-Time 2D Hand Pose Estimation With Simultaneous Region Localization
* SSN: Learning Sparse Switchable Normalization via SparsestMax
* stagNet: An Attentive Semantic RNN for Group Activity and Individual Action Recognition
* Statistical and Structural Information Backed Full-Reference Quality Measure of Compressed Sonar Images
* Statistical Applications to Downscale GRACE-Derived Terrestrial Water Storage Data and to Fill Temporal Gaps
* Statistical Assessment of Sea-Surface Salinity from SMAP: Arabian Sea, Bay of Bengal and a Promising Red Sea Application
* Statistical Modeling of Craniofacial Shape and Texture
* Steady-State Non-Line-Of-Sight Imaging
* STEP: Spatio-Temporal Progressive Learning for Video Action Detection
* Stereo R-CNN Based 3D Object Detection for Autonomous Driving
* StereoDRNet: Dilated Residual StereoNet
* STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing
* Stochastic Class-Based Hard Example Mining for Deep Metric Learning
* StoryGAN: A Sequential Conditional GAN for Story Visualization
* Strand-Accurate Multi-View Hair Capture
* Stream-of-Variation (SOV) Theory Applied in Geometric Error Modeling for Six-Axis Motion Platform
* Streamlined Dense Video Captioning
* Strike (With) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects
* Striking the Right Balance With Uncertainty
* Strong-Weak Distribution Alignment for Adaptive Object Detection
* Strongly Constrained Discrete Hashing
* Structural Analysis of Attributes for Vehicle Re-Identification and Retrieval
* Structural Relational Reasoning of Point Clouds
* Structure and Texture-Aware Image Decomposition via Training a Neural Network
* Structure Label Matrix Completion for PolSAR Image Classification
* Structure Transfer Machine: Theory and Applications, The
* Structure-Preserving Stereoscopic View Synthesis With Multi-Scale Adversarial Correlation Matching
* Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation
* Structured Knowledge Distillation for Semantic Segmentation
* Structured Model for Action Detection, A
* Structured Pruning of Neural Networks With Budget-Aware Regularization
* Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More
* study on multiple array method of birdcage coils to improve the signal intensity and homogeneity in small-animal whole-body magnetic resonance imaging at 7?T, A
* Style Transfer by Relaxed Optimal Transport and Self-Similarity
* Style-Based Generator Architecture for Generative Adversarial Networks, A
* Subgraph learning for graph matching
* Sufficient Condition for Convergences of Adam and RMSProp, A
* Super Diffusion for Salient Object Detection
* Superpixel Embedding Network
* Superquadrics Revisited: Learning 3D Shape Parsing Beyond Cuboids
* Supervised Detection of Façade Openings in 3D Point Clouds with Thermal Attributes
* Supervised Fitting of Geometric Primitives to 3D Point Clouds
* Surface Reconstruction From Normals: A Robust DGP-Based Discontinuity Preservation Approach
* Surprise-Based JND Estimation for Images
* Synchronization Problems in Computer Vision with Closed-Form Solutions
* Synergistic Use of Radar and Optical Satellite Data for Improved Monsoon Cropland Mapping in India
* Synthesis of L-Band SAR and Forest Heights Derived from TanDEM-X DEM and 3 Digital Terrain Models for Biomass Mapping
* Synthesizing 3D Shapes From Silhouette Image Collections Using Multi-Projection Generative Adversarial Networks
* Synthesizing Environment-Aware Activities via Activity Sketches
* T-Net: Parametrizing Fully Convolutional Nets With a Single High-Order Tensor
* TACNet: Transition-Aware Context Network for Spatio-Temporal Action Detection
* Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation
* TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning
* Taking a Closer Look at Domain Shift: Category-Level Adversaries for Semantics Consistent Domain Adaptation
* Taking a Deeper Look at the Inverse Compositional Algorithm
* Taking a Look at Small-Scale Pedestrians and Occluded Pedestrians
* Tangent Fisher Vector on Matrix Manifolds for Action Recognition
* Tangent-Normal Adversarial Regularization for Semi-Supervised Learning
* Target-Aware Deep Tracking
* Task Agnostic Meta-Learning for Few-Shot Learning
* Task-Free Continual Learning
* Tea Sprouts Segmentation via Improved Deep Convolutional Encoder-Decoder Network
* TEASER: Fast and Certifiable Point Cloud Registration
* Tell Me Where I Am: Object-Level Scene Context Prediction
* Temperature and Humidity Profiles Retrieval in a Plain Area from Fengyun-3D/HIRAS Sensor Using a 1D-VAR Assimilation Scheme
* Temporal Action Detection with Structured Segment Networks
* Temporal Cycle-Consistency Learning
* Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time Warping
* Tensor Oriented No-Reference Light Field Image Quality Assessment
* Tensor-based sparse representations of multi-phase medical images for classification of focal liver lesions
* Text Guided Person Image Synthesis
* Text2Scene: Generating Compositional Scenes From Textual Descriptions
* TextRS: Deep Bidirectional Triplet Network for Matching Text to Remote Sensing Images
* Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture
* Texture-guided depth upsampling using Bregman split: a clustering graph-based approach
* Textured Neural Avatars
* TextureNet: Consistent Local Parametrizations for Learning From High-Resolution Signals on Meshes
* Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning, A
* Theory of Fermat Paths for Non-Line-Of-Sight Shape Reconstruction, A
* Thermal unmixing based downscaling for fine resolution diurnal land surface temperature analysis
* Thinking Outside the Pool: Active Training Image Creation for Relative Attributes
* Three Dimensional Radiative Effects in Passive Millimeter/Sub-Millimeter All-sky Observations
* Thyroid nodules classification and diagnosis in ultrasound images using fine-tuning deep convolutional neural network
* Tightness-Aware Evaluation Protocol for Scene Text Detection
* Time-Conditioned Action Anticipation in One Shot
* Timeception for Complex Action Recognition
* Tone Mapping Beyond the Classical Receptive Field
* ToothNet: Automatic Tooth Instance Segmentation and Identification From Cone Beam CT Images
* TopNet: Structural Point Cloud Decoder
* Topological manifold-based monitoring method for train-centric virtual coupling control systems
* Topology Optimization Using Multiple-Possibility Fusion for Vasculature Extraction
* Topology Reconstruction of Tree-Like Structure in Images via Structural Similarity Measure and Dominant Set Clustering
* TOUCHDOWN: Natural Language Navigation and Spatial Reasoning in Visual Street Environments
* Toward Convolutional Blind Denoising of Real Photographs
* Toward Realistic Image Compositing With Adversarial Learning
* Toward Specular Removal from Natural Images Based on Statistical Reflection Models
* Towards a Multi-Temporal Deep Learning Approach for Mapping Urban Fabric Using Sentinel 2 Images
* Towards Accurate One-Stage Object Detection With AP-Loss
* Towards High-Fidelity Nonlinear 3D Face Morphable Model
* Towards Instance-Level Image-To-Image Translation
* Towards Natural and Accurate Future Motion Prediction of Humans and Animals
* Towards Optimal Structured CNN Pruning via Generative Adversarial Learning
* Towards Real Scene Super-Resolution With Raw Images
* Towards Rich Feature Discovery With Class Activation Maps Augmentation for Person Re-Identification
* Towards Robust Curve Text Detection With Conditional Spatial Expansion
* Towards Routine Mapping of Shallow Bathymetry in Environments with Variable Turbidity: Contribution of Sentinel-2A/B Satellites Mission
* Towards Scene Understanding: Unsupervised Monocular Depth Estimation With Semantic-Aware Representation
* Towards Social Artificial Intelligence: Nonverbal Social Signal Prediction in a Triadic Interaction
* Towards Universal Object Detection by Domain Attention
* Towards Visual Feature Translation
* Towards VQA Models That Can Read
* Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers
* Tracking Persons-of-Interest via Unsupervised Representation Adaptation
* Training Deep Learning Based Image Denoisers From Undersampled Measurements Without Ground Truth and Without Image Prior
* Transfer Learning via Unsupervised Task Discovery for Visual Question Answering
* Transferable AutoML by Model Sharing Over Grouped Datasets
* Transferable Interactiveness Knowledge for Human-Object Interaction Detection
* Transferrable Prototypical Networks for Unsupervised Domain Adaptation
* TransGaGa: Geometry-Aware Unsupervised Image-To-Image Translation
* Translate-to-Recognize Networks for RGB-D Scene Recognition
* TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions
* TraVeLGAN: Image-To-Image Translation by Transformation Vector Learning
* Tree Cover Estimation in Global Drylands from Space Using Deep Learning
* Trend Evolution of Vegetation Phenology in China during the Period of 1981-2016
* Triangulation Learning Network: From Monocular to Stereo 3D Object Detection
* Triply Supervised Decoder Networks for Joint Detection and Segmentation
* Trust Region Based Adversarial Attack on Neural Networks
* Tunable Detector for Distributed Target Detection in the Situation of Signal Mismatch, A
* Turn a Silicon Camera Into an InGaAs Camera
* Two Body Problem: Collaborative Visual Task Completion
* Two-Factor Authentication System Using P300 Response to a Sequence of Human Photographs
* Two-Phase Object-Based Deep Learning for Multi-Temporal SAR Image Change Detection
* Two-sided online bipartite matching in spatial data: Experiments and analysis
* Two-Stage Approach to Few-Shot Learning for Image Recognition, A
* Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition
* Two-Stream Symmetric Network with Bidirectional Ensemble for Aerial Image Matching, A
* Typography With Decor: Intelligent Text Style Transfer
* Ultrahigh Resolution Scatterometer Winds near Hawaii
* Uncertainty Guided Multi-Scale Residual Learning-Using a Cycle Spinning CNN for Single Image De-Raining
* Underexposed Photo Enhancement Using Deep Illumination Estimation
* Understanding and Visualizing Deep Visual Saliency Models
* Understanding the Disharmony Between Dropout and Batch Normalization by Variance Shift
* Understanding the Limitations of CNN-Based Absolute Camera Pose Regression
* Underwater Image Enhancement Benchmark Dataset and Beyond, An
* Unequal-Training for Deep Face Recognition With Long-Tailed Noisy Data
* Unidirectional Representation-Based Efficient Dictionary Learning
* Unified Framework for Depth Prediction from a Single Image and Binocular Stereo Matching, A
* Unified Framework for Generalizable Style Transfer: Style and Content Separation, A
* Unified View on Patch Aggregation, A
* Unified Visual-Semantic Embeddings: Bridging Vision and Language With Structured Meaning Representations
* UniformFace: Learning Deep Equidistributed Representation for Face Recognition
* Unifying Heterogeneous Classifiers With Distillation
* Unique Pre-Earthquake Deformation Patterns in the Spatial Domains from GPS in Taiwan
* Universal Domain Adaptation
* Universal fingerprint minutiae extractor using convolutional neural networks
* UnOS: Unified Unsupervised Optical-Flow and Stereo-Depth Estimation by Watching Videos
* Unprocessing Images for Learned Raw Denoising
* Unsupervised 3D Pose Estimation With Geometric Self-Supervision
* Unsupervised Deep Epipolar Flow for Stationary or Dynamic Scenes
* Unsupervised Deep Image Fusion With Structure Tensor Representations
* Unsupervised Deep Tracking
* Unsupervised Disentangling of Appearance and Geometry by Deformable Generator Network
* Unsupervised Domain Adaptation for ToF Data Denoising With Adversarial Learning
* Unsupervised Domain Adaptation Using Feature-Whitening and Consensus Loss
* Unsupervised Domain-Specific Deblurring via Disentangled Representations
* Unsupervised Embedding Learning via Invariant and Spreading Instance Feature
* Unsupervised Event-Based Learning of Optical Flow, Depth, and Egomotion
* Unsupervised Face Domain Transfer for Low-Resolution Face Recognition
* Unsupervised Face Normalization With Extreme Pose and Expression in the Wild
* Unsupervised Image Captioning
* Unsupervised Image Matching and Object Discovery as Optimization
* Unsupervised Learning of Action Classes With Continuous Temporal Embedding
* Unsupervised Learning of Consensus Maximization for 3D Vision Problems
* Unsupervised Learning of Dense Shape Correspondence
* Unsupervised Low-Light Image Enhancement Using Bright Channel Prior
* Unsupervised Moving Object Detection via Contextual Information Separation
* Unsupervised Multi-Modal Neural Machine Translation
* Unsupervised Multi-Target Domain Adaptation: An Information Theoretic Approach
* Unsupervised object-level video summarization with online motion auto-encoder
* Unsupervised Open Domain Recognition by Semantic Discrepancy Minimization
* Unsupervised Part-Based Disentangling of Object Shape and Appearance
* Unsupervised Person Image Generation With Semantic Parsing Transformation
* Unsupervised Person Re-Identification by Soft Multilabel Learning
* Unsupervised Primitive Discovery for Improved 3D Generative Modeling
* Unsupervised Video Action Clustering via Motion-Scene Interaction Constraint
* Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach
* UNVI-Based Time Series for Vegetation Discrimination Using Separability Analysis and Random Forest Classification
* UPSNet: A Unified Panoptic Segmentation Network
* Urban Land-Cover Classification Using Side-View Information from Oblique Images
* Urban Nighttime Leisure Space Mapping with Nighttime Light Images and POI Data
* Use of a Tracer-Specific Deep Artificial Neural Net to Denoise Dynamic PET Images
* Use of Biometric Fingerprints for On-the-Fly Digital Signing of Documents, The
* Using CNN for facial expression recognition: a study of the effects of kernel size and number of filters on accuracy
* Using Earth Observation for Monitoring SDG 11.3.1-Ratio of Land Consumption Rate to Population Growth Rate in Mainland China
* Using High Resolution Optical Imagery to Detect Earthquake-Induced Liquefaction: The 2011 Christchurch Earthquake
* Using Unknown Occluders to Recover Hidden Scenes
* Validation of the SNTHERM Model Applied for Snow Depth, Grain Size, and Brightness Temperature Simulation at Meteorological Stations in China
* Variational Auto-Encoder Model for Stochastic Point Processes, A
* Variational Autoencoders Pursue PCA Directions (by Accident)
* Variational Bayesian Dropout With a Hierarchical Prior
* Variational Convolutional Neural Network Pruning
* Variational EM Framework With Adaptive Edge Selection for Blind Motion Deblurring, A
* Variational Information Distillation for Knowledge Transfer
* Variational Pan-Sharpening With Local Gradient Constraints, A
* Variational Prototyping-Encoder: One-Shot Learning With Prototypical Images
* VERI-Wild: A Large Dataset and a New Method for Vehicle Re-Identification in the Wild
* Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach
* Versatile Multiple Choice Learning and Its Application to Vision Computing
* Vertebrae Identification and Localization Utilizing Fully Convolutional Networks and a Hidden Markov Model
* Vertica Wind Shear Modulates Particulate Matter Pollutions: A Perspective from Radar Wind Profiler Observations in Beijing, China
* Video Action Transformer Network
* Video Generation From Single Semantic Label Map
* Video Magnification in the Wild Using Fractional Anisotropy in Temporal Distribution
* Video Relationship Reasoning Using Gated Spatio-Temporal Energy Graph
* Video segmentation scheme based on AMC
* Video Summarization by Learning From Unpaired Data
* View-Invariant Deep Architecture for Human Action Recognition Using Two-Stream Motion and Shape Temporal Dynamics
* Viewport Proposal CNN for 360deg Video Quality Assessment
* Virtual Avatar-Based Life Coaching for Children With Autism Spectrum Disorder
* Virtual Reality to Foster Social Integration by Allowing Wheelchair Users to Tour Complex Archaeological Sites Realistically
* Vision-Based Navigation With Language-Based Assistance via Imitation Learning With Indirect Intervention
* Visual Attention Consistency Under Image Transforms for Multi-Label Image Classification
* Visual Centrifuge: Model-Free Layered Video Representations, The
* Visual Localization by Learning Objects-Of-Interest Dense Match Regression
* Visual Object Tracking Via Multi-Stream Deep Similarity Learning Networks
* Visual Query Answering by Entity-Attribute Graph Matching and Reasoning
* Visual Question Answering as Reading Comprehension
* Visual saliency guided complex image retrieval
* Visual Tracking via Adaptive Spatially-Regularized Correlation Filters
* VITAMIN-E: VIsual Tracking and MappINg With Extremely Dense Feature Points
* VizWiz-Priv: A Dataset for Recognizing the Presence and Purpose of Private Visual Information in Images Taken by Blind People
* Voice Conversion for Whispered Speech Synthesis
* Volumetric Capture of Humans With a Single RGBD Camera via Semi-Parametric Learning
* VRSTC: Occlusion-Free Video Person Re-Identification
* WarpGAN: Automatic Caricature Generation
* Wavelet energy feature based source camera identification for ear biometric images
* Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification From the Bottom Up
* Weakly Supervised Deep Image Hashing Through Tag Embeddings
* Weakly Supervised Image Classification Through Noise Regularization
* Weakly Supervised Learning of Instance Segmentation With Inter-Pixel Relations
* Weakly Supervised Open-Set Domain Adaptation by Dual-Domain Collaboration
* Weakly Supervised Person Re-Identification
* Weakly supervised semantic segmentation using distinct class specific saliency maps
* Weakly Supervised Video Moment Retrieval From Text Queries
* Weakly-paired deep dictionary learning for cross-modal retrieval
* Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation
* Weighted constraint based dictionary learning for image classification
* Weighted Convolutional Motion-Compensated Frame Rate Up-Conversion Using Deep Residual Network
* Weighted tensor nuclear norm minimization for tensor completion using tensor-SVD
* What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment
* What Correspondences Reveal About Unknown Camera and Motion Models?
* What Do Single-View 3D Reconstruction Networks Learn?
* What Does It Mean to Learn in Deep Networks? And, How Does One Detect Adversarial Attacks?
* What Object Should I Use? - Task Driven Object Detection
* What's to Know? Uncertainty as a Guide to Asking Goal-Oriented Questions
* Wheat Growth Monitoring and Yield Estimation based on Multi-Rotor Unmanned Aerial Vehicle
* When Color Constancy Goes Wrong: Correcting Improperly White-Balanced Images
* When Correlation Filters Meet Siamese Networks for Real-Time Complementary Tracking
* Where's Wally Now? Deep Generative and Discriminative Embeddings for Novelty Detection
* Which Way Are You Going? Imitative Decision Learning for Path Forecasting in Dynamic Scenes
* Whole Is More Than Its Parts? From Explicit to Implicit Pose Normalization, The
* Why ReLU Networks Yield High-Confidence Predictions Far Away From the Training Data and How to Mitigate the Problem
* Wide-Area Crowd Counting via Ground-Plane Density Maps and Multi-View Fusion CNNs
* Wide-Context Semantic Image Extrapolation
* Wind Farm Wakes from SAR and Doppler Radar
* Workflow recognition with structured two-stream convolutional networks
* World From Blur
* Worldwide Evaluation of Ozone Radiative Forcing in the UV-B Range between 1979 and 2014
* X-Band Radar for Cetacean Detection (Focus on Tursiops truncatus) and Preliminary Analysis of Their Behavior
* X2CT-GAN: Reconstructing CT From Biplanar X-Rays With Generative Adversarial Networks
* You Look Twice: GaterNet for Dynamic Filter Selection in CNNs
* You Reap What You Sow: Using Videos to Generate High Precision Object Proposals for Weakly-Supervised Object Detection
* Zero-Shot Task Transfer
* Zero-VAE-GAN: Generating Unseen Features for Generalized and Transductive Zero-Shot Learning
* ZigZagNet: Fusing Top-Down and Bottom-Up Context for Object Segmentation
* Zonotoptic Fault Estimation for Discrete-Time LPV Systems With Bounded Parametric Uncertainty
* Zoom to Learn, Learn to Zoom
* Zoom-In-To-Check: Boosting Video Interpolation via Instance-Level Discrimination
2066 for 2002

Index for "2"


Last update: 4-Aug-20 14:18:18
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