Update Dates 2008

2008 * $74,500 will fetch you a spot: For the price of a luxury car, you can now buy a very smart, very capable, very yellow robot dog
* *Adversarial Machine Learning in Computer Vision
* *AgriVision: Agriculture-Vision: Challenges and Opportunities for Computer Vision in Agriculture
* *AI City Challenge
* *Autonomous Driving
* *Biometrics
* *Bridging the Gap Between Computational Photography and Visual Recognition
* *Catch UAVs That Want to Watch You: Detection and Tracking of Unmanned Aerial Vehicle in the Wild
* *Challenges and Promises to Inferring Emotion From Images and Video
* *Compositionality in Computer Vision
* *Computer Vision for Microscopy Image Analysis
* *Computer Vision for Physiological Measurement
* *Computer Vision in Sports
* *Continual Learning in Computer Vision
* *CVPR
* *Deep Learning for Geometric Computing
* *Deep Vision: Deep Learning in Computer Vision
* *Diagram Image Retrieval and Analysis: Representation, Learning, and Similarity Metrics
* *Diff-CVML: Differential Geometry in Computer Vision and Machine Learning
* *Dynamic Scene Reconstruction
* *EarthVision: Large Scale Computer Vision for Remote Sensing Imagery
* *Efficient Deep Learning for Computer Vision
* *Fair, Data-Efficient and Trusted Computer Vision
* *Guest Editorial: Multidisciplinary advancement of imaging technologies: from medical diagnostics and genomics to cognitive machine vision, and artificial intelligence
* *Guest Editorial: Scientific Seminar of the Italian Association of Transport Academicians (SIDT) 2019
* *Image Matching: Local Features and Beyond
* *Learned Image Compression
* *Learning 3D Generative Models
* *Low Power Computer Vision
* *Media Forensics
* *Minds vs. Machines: How Far Are We From the Common Sense of a Toddler?
* *Multimodal Learning
* *New Trends in Image Restoration and Enhancement
* *Omnidirectional Computer Vision in Research and Industry
* *Perception Beyond the Visible Spectrum
* *Precognition: Seeing Through the Future
* *Safe Artificial Intelligence for Automated Driving
* *Skin Image Analysis
* *Text and Documents in the Deep Learning Era
* *Towards Human-Centric Image/Video Synthesis and the Look-Into-Person Challenge
* *Vision for All Seasons: Adverse Weather and Lighting Conditions
* *Visual Learning With Limited Labels: Zero-Shot, Few-Shot, Any-Shot, and Cross-Domain Few-Shot Learning
* *VisualSLAM: Long Term Visual Localization, Visual Odometry and Geometric and Learning-Based SLAM
* *Women in Computer Vision
* 12-in-1: Multi-Task Vision and Language Representation Learning
* 15 Keypoints Is All You Need
* 1D representation of Laplacian eigenmaps and dual k-nearest neighbours for unified video coding
* 1st Agriculture-Vision Challenge: Methods and Results, The
* 1st Challenge on Remote Physiological Signal Sensing (RePSS), The
* 2-D Seismic Data Reconstruction via Truncated Nuclear Norm Regularization
* 3-D Context Entropy Model for Improved Practical Image Compression
* 3D Emotion Recognition Using SVM and HoG Features, The
* 3D Fine-scale Terrain Variables from Underwater Photogrammetry: A New Approach to Benthic Microhabitat Modeling in a Circalittoral Rocky Shelf
* 3D Human Mesh Regression With Dense Correspondence
* 3D Object Pose Estimation Using Multi-Objective Quaternion Learning
* 3D Packing for Self-Supervised Monocular Depth Estimation
* 3D Part Guided Image Editing for Fine-Grained Object Understanding
* 3D Photography Using Context-Aware Layered Depth Inpainting
* 3D Sketch-Aware Semantic Scene Completion via Semi-Supervised Structure Prior
* 3D video semantic segmentation for wildfire smoke
* 3D-MPA: Multi-Proposal Aggregation for 3D Semantic Instance Segmentation
* 3D-ZeF: A 3D Zebrafish Tracking Benchmark Dataset
* 3DQ-Nets: Visual Concepts Emerge in Pose Equivariant 3D Quantized Neural Scene Representations
* 3DRegNet: A Deep Neural Network for 3D Point Registration
* 3DSSD: Point-Based 3D Single Stage Object Detector
* 3DSymm: Robust and Accurate 3D Reflection Symmetry Detection
* 3DV: 3D Dynamic Voxel for Action Recognition in Depth Video
* 3FabRec: Fast Few-Shot Face Alignment by Reconstruction
* 4D Association Graph for Realtime Multi-Person Motion Capture Using Multiple Video Cameras
* 4D Visualization of Dynamic Events From Unconstrained Multi-View Videos
* 4th AI City Challenge, The
* a-contrario Biometric Fusion Approach, An
* A2dele: Adaptive and Attentive Depth Distiller for Efficient RGB-D Salient Object Detection
* AANet: Adaptive Aggregation Network for Efficient Stereo Matching
* ABCNet: Real-Time Scene Text Spotting With Adaptive Bezier-Curve Network
* Abnormal event detection in surveillance videos based on low-rank and compact coefficient dictionary learning
* Absolute Cluster Validity
* Accelerating information entropy-based feature selection using rough set theory with classified nested equivalence classes
* Accelerating projections to kernel-induced spaces by feature approximation
* Accuracy Assessment of Digital Elevation Models (DEMs): A Critical Review of Practices of the Past Three Decades
* Accuracy Assessments of Local and Global Forest Change Data to Estimate Annual Disturbances in Temperate Forests
* Accurate Estimation of Body Height From a Single Depth Image via a Four-Stage Developing Network
* Accurate leukocoria predictor based on deep VGG-net CNN technique
* Accurate Long-Term Multiple People Tracking Using Video and Body-Worn IMUs
* Accurate Screening of COVID-19 Using Attention-Based Deep 3D Multiple Instance Learning
* Accurate Segmentation-Based Scene Text Detector with Context Attention and Repulsive Text Border, An
* Accurate, data-efficient, unconstrained text recognition with convolutional neural networks
* Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations
* ACNe: Attentive Context Normalization for Robust Permutation-Equivariant Learning
* ActBERT: Learning Global-Local Video-Text Representations
* Action Genome: Actions As Compositions of Spatio-Temporal Scene Graphs
* Action Modifiers: Learning From Adverbs in Instructional Videos
* Action Segmentation With Joint Self-Supervised Temporal Domain Adaptation
* ActionBytes: Learning From Trimmed Videos to Localize Actions
* Active 3D Motion Visualization Based on Spatiotemporal Light-Ray Integration
* Active contour model for inhomogenous image segmentation based on Jeffreys divergence
* Active Speakers in Context
* Active Vision for Early Recognition of Human Actions
* Active-Passive Microwave Land Surface Database From GPM, An
* ActiveMoCap: Optimized Viewpoint Selection for Active Human Motion Capture
* Activity-aware Attributes for Zero-Shot Driver Behavior Recognition
* Actor-Transformers for Group Activity Recognition
* AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-Identification
* AdaBits: Neural Network Quantization With Adaptive Bit-Widths
* AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation
* AdaCoSeg: Adaptive Shape Co-Segmentation With Group Consistency Loss
* AdaMT-Net: An Adaptive Weight Learning Based Multi-Task Learning Model For Scene Understanding
* Adapting JPEG XS gains and priorities to tasks and contents
* Adaptive core fusion-based density peak clustering for complex data with arbitrary shapes and densities
* Adaptive Dilated Network With Self-Correction Supervision for Counting
* Adaptive Fractional Dilated Convolution Network for Image Aesthetics Assessment
* Adaptive Graph Convolutional Network With Attention Graph Clustering for Co-Saliency Detection
* Adaptive Hierarchical Down-Sampling for Point Cloud Classification
* Adaptive Interaction Modeling via Graph Operations Search
* Adaptive Large Neighborhood Search for Solving Generalized Lock Scheduling Problem: Comparative Study With Exact Methods, An
* Adaptive learning of minority class prior to minority oversampling
* Adaptive Loss-Aware Quantization for Multi-Bit Networks
* Adaptive machine learning strategies for network calibration of IoT smart air quality monitoring devices
* adaptive method for image restoration based on high-order total variation and inverse gradient, An
* Adaptive Neural Network for Unsupervised Mosaic Consistency Analysis in Image Forensics, An
* Adaptive Posit: Parameter aware numerical format for deep learning inference on the edge
* Adaptive road detection method combining lane line and obstacle boundary
* Adaptive Subspaces for Few-Shot Learning
* Adaptive Time-Resampled High-Resolution Synchrosqueezing Transform and Its Application in Seismic Data
* Adaptive Weighted Attention Network with Camera Spectral Sensitivity Prior for Spectral Reconstruction from RGB Images
* AdderNet: Do We Really Need Multiplications in Deep Learning?
* ADINet: Attribute Driven Incremental Network for Retinal Image Classification
* Adjusting for Desert-Dust-Related Biases in a Climate Data Record of Sea Surface Temperature
* Advanced lung cancer classification approach adopting modified graph clustering and whale optimisation-based feature selection technique accompanied by a hybrid ensemble classifier
* Advancing High Fidelity Identity Swapping for Forgery Detection
* Adversarial Attack on Deep Learning-Based Splice Localization
* Adversarial Camouflage: Hiding Physical-World Attacks With Natural Styles
* Adversarial Distortion for Learned Video Compression
* Adversarial examples for replay attacks against CNN-based face recognition with anti-spoofing capability
* Adversarial Examples Improve Image Recognition
* Adversarial Feature Hallucination Networks for Few-Shot Learning
* Adversarial Fooling Beyond Flipping the Label
* Adversarial joint domain adaptation of asymmetric feature mapping based on least squares distance
* Adversarial Latent Autoencoders
* Adversarial Light Projection Attacks on Face Recognition Systems: A Feasibility Study
* Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning
* Adversarial Texture Optimization From RGB-D Scans
* Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization
* AdversarialNAS: Adversarial Neural Architecture Search for GANs
* Advisable Learning for Self-Driving Vehicles by Internalizing Observation-to-Action Rules
* Affective Video Content Analysis With Adaptive Fusion Recurrent Network
* Affinity Graph Supervision for Visual Recognition
* Age from Faces in the Deep Learning Revolution
* Aggregated Wasserstein Distance and State Registration for Hidden Markov Models
* Agreement Between Saliency Maps and Human-Labeled Regions of Interest: Applications to Skin Disease Classification
* Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis
* AI City Challenge 2020: Computer Vision for Smart Transportation Applications
* ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks
* All in One Bad Weather Removal Using Architectural Search
* Alleviating Semantic-level Shift: A Semi-supervised Domain Adaptation Method for Semantic Segmentation
* Alleviation of Gradient Exploding in GANs: Fake Can Be Real
* ALS-Based Detection of Past Human Activities in the Bialowieza Forest: New Evidence of Unknown Remains of Past Agricultural Systems
* AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image Classification
* Analysis of Pulse Transit Time Derived from Imaging Photoplethysmography and Microwave Sensor-based Ballistocardiography
* Analytical Framework for Trusted Machine Learning and Computer Vision Running with Blockchain, An
* Analyzing and Improving the Image Quality of StyleGAN
* Analyzing Spatio-Temporal Factors to Estimate the Response Time between SMOS and In-Situ Soil Moisture at Different Depths
* Analyzing the Uncertainty of Degree Confluence Project for Validating Global Land-Cover Maps Using Reference Data-Based Classification Schemes
* Analyzing U-Net Robustness for Single Cell Nucleus Segmentation from Phase Contrast Images
* Anatomical region segmentation method from dermoscopic images of pigmented skin lesions
* Anchor-Based Self-Ensembling for Semi-Supervised Deep Pairwise Hashing
* Anchor-free Convolutional Network with Dense Attention Feature Aggregation for Ship Detection in SAR Images
* AnimalWeb: A Large-Scale Hierarchical Dataset of Annotated Animal Faces
* Anisotropic Convolutional Networks for 3D Semantic Scene Completion
* Ant Colony Optimization for the Control of Pollutant Spreading on Social Networks
* Any-Shot Sequential Anomaly Detection in Surveillance Videos
* Any-Width Networks
* AOWS: Adaptive and Optimal Network Width Search With Latency Constraints
* Appearance Shock Grammar for Fast Medial Axis Extraction From Real Images
* Apple Shape Detection Based on Geometric and Radiometric Features Using a LiDAR Laser Scanner
* Application of compressed sensing using chirp encoded 3D GRE and MPRAGE sequences
* Application of Empirical Land-Cover Changes to Construct Climate Change Scenarios in Federally Managed Lands
* Application of Envelope in Salt Structure Velocity Building: From Objective Function Construction to the Full-Band Seismic Data Reconstruction
* Approximating shapes in images with low-complexity polygons
* APQ: Joint Search for Network Architecture, Pruning and Quantization Policy
* ARCH: Animatable Reconstruction of Clothed Humans
* Area and Mass Changes of Glaciers in the West Kunlun Mountains Based on the Analysis of Multi-Temporal Remote Sensing Images and DEMs from 1970 to 2018
* ARF-Crack: rotation invariant deep fully convolutional network for pixel-level crack detection
* ARShadowGAN: Shadow Generative Adversarial Network for Augmented Reality in Single Light Scenes
* Articulation-Aware Canonical Surface Mapping
* ArUcOmni: detection of highly reliable fiducial markers in panoramic images
* As Seen on TV: Automatic Basketball Video Production using Gaussian-based Actionness and Game States Recognition
* ASLFeat: Learning Local Features of Accurate Shape and Localization
* Assessing Eye Aesthetics for Automatic Multi-Reference Eye In-Painting
* Assessing Image Quality Issues for Real-World Problems
* Assessing the Effect of Tandem Phase Sentinel-3 OLCI Sensor Uncertainty on the Estimation of Potential Ocean Chlorophyll-a Trends
* Assessing the Potential of Enhanced Resolution Gridded Passive Microwave Brightness Temperatures for Retrieval of Sea Ice Parameters
* Assessment and Validation of AirMOSS P-Band Root-Zone Soil Moisture Products
* Assessment of Algorithms to Estimate Respiratory Rate from the Remote Photoplethysmogram, An
* Assessment of Intra-Annual and Inter-Annual Variabilities of Soil Erosion in Crete Island (Greece) by Incorporating the Dynamic Nature of R and C-Factors in RUSLE Modeling
* Assessment of Leaf Chlorophyll Content Models for Winter Wheat Using Landsat-8 Multispectral Remote Sensing Data
* Assessment of Tree Detection Methods in Multispectral Aerial Images
* Associate-3Ddet: Perceptual-to-Conceptual Association for 3D Point Cloud Object Detection
* Atrial Fibrillation Detection From Face Videos by Fusing Subtle Variations
* Attack to Explain Deep Representation
* Attention and boundary guided salient object detection
* Attention Convolutional Binary Neural Tree for Fine-Grained Visual Categorization
* Attention Mechanism Exploits Temporal Contexts: Real-Time 3D Human Pose Reconstruction
* attention recurrent model for human cooperation detection, An
* Attention Scaling for Crowd Counting
* Attention-Aware Multi-View Stereo
* Attention-Based Context Aware Reasoning for Situation Recognition
* attention-based row-column encoder-decoder model for text recognition in Japanese historical documents, An
* Attention-Driven Cropping for Very High Resolution Facial Landmark Detection
* Attention-Guided Hierarchical Structure Aggregation for Image Matting
* Attentional Bottleneck: Towards an Interpretable Deep Driving Network
* Attentive Normalization for Conditional Image Generation
* Attentive Semantic Preservation Network for Zero-Shot Learning
* Attentive Sequence to Sequence Translator for Localizing Video Clips by Natural Language, An
* Attentive Weights Generation for Few Shot Learning via Information Maximization
* Attribute Aware Filter-Drop for Bias-Invariant Classification
* Attribute-guided Feature Extraction and Augmentation Robust Learning for Vehicle Re-identification
* Attribution in Scale and Space
* AugFPN: Improving Multi-Scale Feature Learning for Object Detection
* Augment Your Batch: Improving Generalization Through Instance Repetition
* Augmenting Colonoscopy Using Extended and Directional CycleGAN for Lossy Image Translation
* Auto-Annotation Quality Prediction for Semi-Supervised Learning with Ensembles
* Auto-Encoding Twin-Bottleneck Hashing
* Auto-Tuning Structured Light by Optical Stochastic Gradient Descent
* Autolabeling 3D Objects With Differentiable Rendering of SDF Shape Priors
* Automated Depth Video Monitoring For Fall Reduction: A Case Study
* Automated fish cage net inspection using image processing techniques
* Automated Geometric Quality Inspection of Prefabricated Housing Units Using BIM and LiDAR
* Automated glaucoma detection using GIST and pyramid histogram of oriented gradients (PHOG) descriptors
* Automated Processing of Remote Sensing Imagery Using Deep Semantic Segmentation: A Building Footprint Extraction Case
* Automated temporal equilibrium analysis: Verification and synthesis of multi-player games
* Automatic annotation of liver computed tomography images based on a vessel-skeletonization method
* Automatic arrhythmia recognition from electrocardiogram signals using different feature methods with long short-term memory network model
* Automatic Design of CNNs via Differentiable Neural Architecture Search for PolSAR Image Classification
* Automatic Detection of Earthquake-Damaged Buildings by Integrating UAV Oblique Photography and Infrared Thermal Imaging
* Automatic Digitization of Engineering Diagrams using Deep Learning and Graph Search
* Automatic grading of brain tumours using LSTM neural networks on magnetic resonance spectroscopy signals
* Automatic Mapping of Landslides by the ResU-Net
* Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-Based Approach
* Automatic recognition and location system for electric vehicle charging port in complex environment
* Automatic Seeded Region Growing Image Segmentation for Medical Image Segmentation: A Brief Review
* Automatic Waveform Recognition of Overlapping LPI Radar Signals Based on Multi-Instance Multi-Label Learning
* Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification
* AutoPruner: An end-to-end trainable filter pruning method for efficient deep model inference
* AutoTrack: Towards High-Performance Visual Tracking for UAV With Automatic Spatio-Temporal Regularization
* Auxiliary Training: Towards Accurate and Robust Models
* AvatarMe: Realistically Renderable 3D Facial Reconstruction In-the-Wild
* Averaging Essential and Fundamental Matrices in Collinear Camera Settings
* BachGAN: High-Resolution Image Synthesis From Salient Object Layout
* Background Data Resampling for Outlier-Aware Classification
* Background Matting: The World Is Your Green Screen
* Background Modeling in the Fourier Domain for Maritime Infrared Target Detection
* Background Noise Filtering and Distribution Dividing for Crowd Counting
* BAMSProd: A Step towards Generalizing the Adaptive Optimization Methods to Deep Binary Model
* BANet: Bidirectional Aggregation Network With Occlusion Handling for Panoptic Segmentation
* Barycenters of Natural Images: Constrained Wasserstein Barycenters for Image Morphing
* Basis Prediction Networks for Effective Burst Denoising With Large Kernels
* Bayesian Adversarial Human Motion Synthesis
* Bayesian Adversarial Spectral Clustering With Unknown Cluster Number
* Bayesian Calibration of the Aquacrop-OS Model for Durum Wheat by Assimilation of Canopy Cover Retrieved from VENµS Satellite Data
* BBN: Bilateral-Branch Network With Cumulative Learning for Long-Tailed Visual Recognition
* BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
* BEDSR-Net: A Deep Shadow Removal Network From a Single Document Image
* Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems
* benchmark dataset for real-time detection of icons in mobile apps and a small-scale feature module, A
* benchmark for unconstrained online handwritten Uyghur word recognition, A
* Benchmarking Adversarial Robustness on Image Classification
* Benchmarking the Robustness of Semantic Segmentation Models
* Benefits of Short-Distance Walking and Fast-Route Scheduling in Public Vehicle Service
* benefits of target relations: A comparison of multitask extensions and classifier chains, The
* Best of Both Worlds? Integrating Sentinel-2 Images and airborne LiDAR to Characterize Forest Regeneration, The
* Better Captioning With Sequence-Level Exploration
* Beyond context: Exploring semantic similarity for small object detection in crowded scenes
* Beyond Never-Never Land: Integrating LiDAR and Geophysical Surveys at the Johnston Site, Pinson Mounds State Archaeological Park, Tennessee, USA
* Beyond Short-Term Snippet: Video Relation Detection With Spatio-Temporal Global Context
* BFBox: Searching Face-Appropriate Backbone and Feature Pyramid Network for Face Detector
* Bi-dictionary learning model for medical image reconstruction from undersampled data
* Bi-Directional Interaction Network for Person Search
* Bi-Directional Relationship Inferring Network for Referring Image Segmentation
* Bi3D: Stereo Depth Estimation via Binary Classifications
* Bias in Multimodal AI: Testbed for Fair Automatic Recruitment
* Bidding for Preferred Timing: An Auction Design for Electric Vehicle Charging Station Scheduling
* BiDet: An Efficient Binarized Object Detector
* Bidirectional Graph Reasoning Network for Panoptic Segmentation
* BidNet: Binocular Image Dehazing Without Explicit Disparity Estimation
* BiFuse: Monocular 360 Depth Estimation via Bi-Projection Fusion
* Bilinear Parameterization For Differentiable Rank-Regularization
* Binarizing MobileNet via Evolution-Based Searching
* Binary coyote optimization algorithm for feature selection
* Bistatic Forward-Looking SAR MP-DPCA Method for Space-Time Extension Clutter Suppression
* BlendedMVS: A Large-Scale Dataset for Generalized Multi-View Stereo Networks
* BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation
* Blindly Assess Image Quality in the Wild Guided by a Self-Adaptive Hyper Network
* Block cosparsity overcomplete learning transform image segmentation algorithm based on burr model
* Block-Wisely Supervised Neural Architecture Search With Knowledge Distillation
* Blur Aware Calibration of Multi-Focus Plenoptic Camera
* Blurry Video Frame Interpolation
* Bodies at Rest: 3D Human Pose and Shape Estimation From a Pressure Image Using Synthetic Data
* Boosting binary masks for multi-domain learning through affine transformations
* Boosting Feature Matching Accuracy With Pairwise Affine Estimation
* Boosting Few-Shot Learning With Adaptive Margin Loss
* Boosting Semantic Human Matting With Coarse Annotations
* Boosting the Transferability of Adversarial Samples via Attention
* Boosting Vehicle-to-Cloud Communication by Machine Learning-Enabled Context Prediction
* Bound and Conquer: Improving Triangulation by Enforcing Consistency
* Boundary-Aware 3D Building Reconstruction From a Single Overhead Image
* Boundary-Included Enhanced Water Storage Changes Inferred by GPS in the Pacific Rim of the Western United States
* Breaking the Cycle: Colleagues Are All You Need
* Breast cancer diagnosis based on a new improved Elman neural network optimized by meta-heuristics
* Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training Sample Selection
* Bringing Old Photos Back to Life
* Bringing semantics into word image representation
* BSP-Net: Generating Compact Meshes via Binary Space Partitioning
* Building Extraction of Aerial Images by a Global and Multi-Scale Encoder-Decoder Network
* Building Extraction Using Orthophotos and Dense Point Cloud Derived from Visual Band Aerial Imagery Based on Machine Learning and Segmentation
* Building Virtual 3D City Model for Smart Cities Applications: A Case Study on Campus Area of the University of Novi Sad
* Bundle Adjustment on a Graph Processor
* Bundle Pooling for Polygonal Architecture Segmentation Problem
* Butterfly Transform: An Efficient FFT Based Neural Architecture Design
* C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds
* C-SURE: Shrinkage Estimator and Prototype Classifier for Complex-Valued Deep Learning
* C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation
* C3Net: Demoiréing Network Attentive in Channel, Color and Concatenation
* Calibrated Vehicle Paint Signatures for Simulating Hyperspectral Imagery
* Camera Geometric Calibration Using Dynamic Single-Pixel Illumination With Deep Learning Networks
* Camera On-Boarding for Person Re-Identification Using Hypothesis Transfer Learning
* Camera Trace Erasing
* Camouflaged Object Detection
* Can Deep Learning Recognize Subtle Human Activities?
* Can Facial Pose and Expression Be Separated With Weak Perspective Camera?
* Can Virtual Samples Solve Small Sample Size Problem of KISSME in Pedestrian Re-Identification of Smart Transportation?
* Can We Learn Heuristics for Graphical Model Inference Using Reinforcement Learning?
* Can We Learn Heuristics for Graphical Model Inference Using Reinforcement Learning?
* Can We Measure a COVID-19-Related Slowdown in Atmospheric CO2 Growth? Sensitivity of Total Carbon Column Observations
* Can We See More? Joint Frontalization and Hallucination of Unaligned Tiny Faces
* Can Weight Sharing Outperform Random Architecture Search? An Investigation With TuNAS
* Capped L_p-Norm LDA for Outliers Robust Dimension Reduction
* Capturing Cellular Topology in Multi-Gigapixel Pathology Images
* Carbon Stocks and Fluxes in Kenyan Forests and Wooded Grasslands Derived from Earth Observation and Model-Data Fusion
* CARP: Compression Through Adaptive Recursive Partitioning for Multi-Dimensional Images
* Cars Can't Fly Up in the Sky: Improving Urban-Scene Segmentation via Height-Driven Attention Networks
* CARS: Continuous Evolution for Efficient Neural Architecture Search
* Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching
* Cascade EF-GAN: Progressive Facial Expression Editing With Local Focuses
* Cascade of encoder-decoder CNNs with learned coordinates regressor for robust facial landmarks detection
* Cascaded Deep Monocular 3D Human Pose Estimation With Evolutionary Training Data
* Cascaded Deep Video Deblurring Using Temporal Sharpness Prior
* Cascaded Human-Object Interaction Recognition
* Cascaded Refinement Network for Point Cloud Completion
* CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement
* CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents
* Case-Based Reasoning Model for Depression Based on Three-Electrode EEG Data, A
* Category-Level Articulated Object Pose Estimation
* CatNet: Class Incremental 3D ConvNets for Lifelong Egocentric Gesture Recognition
* Causal Analysis of Accuracy Obtained Using High-Resolution Global Forest Change Data to Identify Forest Loss in Small Forest Plots
* Celeb-DF: A Large-Scale Challenging Dataset for DeepFake Forensics
* Celeganser: Automated Analysis of Nematode Morphology and Age
* CenterMask: Real-Time Anchor-Free Instance Segmentation
* CenterMask: Single Shot Instance Segmentation With Point Representation
* Central Similarity Quantization for Efficient Image and Video Retrieval
* CentripetalNet: Pursuing High-Quality Keypoint Pairs for Object Detection
* Certifiably Globally Optimal Solution to Generalized Essential Matrix Estimation, A
* Challenges in Energy-Efficient Deep Neural Network Training with FPGA
* Challenges in Recognizing Spontaneous and Intentionally Expressed Reactions to Positive and Negative Images
* Channel Attention Based Iterative Residual Learning for Depth Map Super-Resolution
* Characterisation of the impacts of autonomous driving on highway capacity in a mixed traffic environment: an agent-based approach
* Characteristic Function Approach to Deep Implicit Generative Modeling, A
* CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks
* Circle Loss: A Unified Perspective of Pair Similarity Optimization
* CIST: An Improved ISAR Imaging Method Using Convolution Neural Network
* City-Scale Multi-Camera Vehicle Tracking by Semantic Attribute Parsing and Cross-Camera Tracklet Matching
* CLAREL: Classification via retrieval loss for zero-shot learning
* Class-Balanced Training for Deep Face Recognition
* Classification of motor imagery electroencephalography signals using continuous small convolutional neural network
* Classification-aware Semi-supervised Domain Adaptation
* Classifying Affective Haptic Stimuli through Gender-Specific Heart Rate Variability Nonlinear Analysis
* Classifying, Segmenting, and Tracking Object Instances in Video with Mask Propagation
* Clean-Label Backdoor Attacks on Video Recognition Models
* CLEval: Character-Level Evaluation for Text Detection and Recognition Tasks
* Climate Adaptation: Reliably Predicting from Imbalanced Satellite Data
* Climatology Characteristics of Ionospheric Irregularities Described with GNSS ROTI
* Climatology of Planetary Boundary Layer Height-Controlling Meteorological Parameters Over the Korean Peninsula
* Closed-Loop Matters: Dual Regression Networks for Single Image Super-Resolution
* Cloth in the Wind: A Case Study of Physical Measurement Through Simulation
* ClusterFit: Improving Generalization of Visual Representations
* ClusterVO: Clustering Moving Instances and Estimating Visual Odometry for Self and Surroundings
* CNN-Based Fast Source Device Identification
* CNN-Based Super-Resolution of Hyperspectral Images
* CNN-Generated Images Are Surprisingly Easy to Spot… for Now
* Coarse-to-Fine Hamiltonian Dynamics of Hierarchical Flows in Computational Anatomy
* Coastline Fractal Dimension of Mainland, Island, and Estuaries Using Multi-temporal Landsat Remote Sensing Data from 1978 to 2018: A Case Study of the Pearl River Estuary Area
* COCAS: A Large-Scale Clothes Changing Person Dataset for Re-Identification
* Cognitively-Inspired Model for Incremental Learning Using a Few Examples
* Cogradient Descent for Bilinear Optimization
* Coherence analysis of road safe speed and driving behaviour from floating car data
* Coherent Reconstruction of Multiple Humans From a Single Image
* Collaborative Distillation for Ultra-Resolution Universal Style Transfer
* Collaborative Filtering of Correlated Noise: Exact Transform-Domain Variance for Improved Shrinkage and Patch Matching
* Collaborative Motion Prediction via Neural Motion Message Passing
* Collaborative Visual Tracking Architecture for Correlation Filter and Convolutional Neural Network Learning, A
* Color-Constrained Dehazing Model
* Color-wise Attention Network for Low-light Image Enhancement
* ColorFool: Semantic Adversarial Colorization
* COMBAHO: A deep learning system for integrating brain injury patients in society
* Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization
* Combination of multi-scale and residual learning in deep CNN for image denoising
* Combining Detection and Tracking for Human Pose Estimation in Videos
* Combining Siamese Network and Regression Network for Visual Tracking
* Comparative analysis of reversible data hiding schemes
* Comparative analysis of the effects of mobile phone use on driving performance using ANOVA and ANCOVA
* Comparative Quality and Trend of Remotely Sensed Phenology and Productivity Metrics across the Western United States
* comparative study of breast cancer tumor classification by classical machine learning methods and deep learning method, A
* Comparative Study of IoT-Based Topology Maintenance Protocol in a Wireless Sensor Network for Structural Health Monitoring
* Comparing Fully Deep Convolutional Neural Networks for Land Cover Classification with High-Spatial-Resolution Gaofen-2 Images
* Comparing Sentinel-1 Surface Water Mapping Algorithms and Radiometric Terrain Correction Processing in Southeast Asia Utilizing Google Earth Engine
* Comparison of Car-Following Behavior in Terms of Safety Indicators Between China and Sweden
* Comparison of CORINE Land Cover Data with National Statistics and the Possibility to Record This Data on a Local Scale: Case Studies from Slovakia
* Comparison of Low-Cost Sensor Systems in Automatic Cloud-Based Indoor 3D Modeling, A
* Comparison of SSEBop-Model-Based Evapotranspiration with Eight Evapotranspiration Products in the Yellow River Basin, China, A
* Complementary Mean-Square Analysis of CNLMS Algorithm Using Pseudo-Energy-Conservation Method
* Complex heterogeneity learning: A theoretical and empirical study
* Composed Query Image Retrieval Using Locally Bounded Features
* Composing Good Shots by Exploiting Mutual Relations
* Composition-preserving deep approach to full-reference image quality assessment
* Compositional Convolutional Neural Networks: A Deep Architecture With Innate Robustness to Partial Occlusion
* Comprehensive Analysis of Deep Regression, A
* Comprehensive Study on Loss Functions for Cross-Factor Face Recognition, A
* Compressed Arrays and Hybrid Channel Sensing: A Cramér-Rao Bound Based Analysis
* Compressed Volumetric Heatmaps for Multi-Person 3D Pose Estimation
* Compression Artifact Removal with Ensemble Learning of Neural Networks
* Computational Workflow for Generating A Voxel-Based Design Approach Based on Subtractive Shading Envelopes and Attribute Information of Point Cloud Data, A
* Computationally Efficient Autonomous Overtaking on Highways
* computer vision system for automatic cherry beans detection on coffee trees, A
* Computer-aided diagnosis system of lung carcinoma using Convolutional Neural Networks
* Computer-aided superimposition via reconstructing and matching 3D faces to 3D skulls for forensic craniofacial identifications
* Computing the Testing Error Without a Testing Set
* Computing Valid P-Values for Image Segmentation by Selective Inference
* Concurrent and Lagged Effects of Extreme Drought Induce Net Reduction in Vegetation Carbon Uptake on Tibetan Plateau
* Conditional Channel Gated Networks for Task-Aware Continual Learning
* Conditional Gaussian Distribution Learning for Open Set Recognition
* Connect-and-Slice: An Hybrid Approach for Reconstructing 3D Objects
* CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus
* Constant-Q magnitude-phase coefficients extraction for synthetic speech detection
* Constraint-Aware Importance Estimation for Global Filter Pruning under Multiple Resource Constraints
* Construction of a Fluxgate Magnetic Gradiometer for Integration with an Unmanned Aircraft System
* Construction of High Spatial-Temporal Water Body Dataset in China Based on Sentinel-1 Archives and GEE
* Content-based Propagation of User Markings for Interactive Segmentation of Patterned Images
* Content-Based Superpixel Segmentation and Matching Using Its Region Feature Descriptors
* Content-Guided Convolutional Neural Network for Hyperspectral Image Classification
* Context Aware Graph Convolution for Skeleton-Based Action Recognition
* Context Prior for Scene Segmentation
* Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection
* Context-Aware and Scale-Insensitive Temporal Repetition Counting
* Context-Aware Attention Network for Image-Text Retrieval
* Context-Aware Graph Label Propagation Network for Saliency Detection
* Context-Aware Group Captioning via Self-Attention and Contrastive Features
* Context-Aware Human Motion Prediction
* Context-Aware Loss Function for Action Spotting in Soccer Videos, A
* Context-Guided Super-Class Inference for Zero-Shot Detection
* Contextual Recurrent Predictive Model for Long-Term Intent Prediction of Vulnerable Road Users
* Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting
* Continual Learning for Anomaly Detection in Surveillance Videos
* Continual Learning of Object Instances
* Continual Learning With Extended Kronecker-Factored Approximate Curvature
* Continual Reinforcement Learning in 3D Non-stationary Environments
* Continuous estimation of emotional change using multimodal affective responses
* ContourNet: Taking a Further Step Toward Accurate Arbitrary-Shaped Scene Text Detection
* Contrast Enhancement via Dual Graph Total Variation-Based Image Decomposition
* Controllable Image Processing via Adaptive FilterBank Pyramid
* Controllable Orthogonalization in Training DNNs
* Controllable Person Image Synthesis With Attribute-Decomposed GAN
* Conv-MPN: Convolutional Message Passing Neural Network for Structured Outdoor Architecture Reconstruction
* Convective Initiation Proxies for Nowcasting Precipitation Severity Using the MSG-SEVIRI Rapid Scan
* Convolution in the Cloud: Learning Deformable Kernels in 3D Graph Convolution Networks for Point Cloud Analysis
* Convolutional Networks With Channel and STIPs Attention Model for Action Recognition in Videos
* Convolutional Neural Network and Matrix Factorization-Based Travel Location Recommendation Method Using Community-Contributed Geotagged Photos, A
* Convulsive Movement Detection using Low-Resolution Thermopile Sensor Array
* CookGAN: Causality Based Text-to-Image Synthesis
* Cooling-Shrinking Attack: Blinding the Tracker With Imperceptible Noises
* Cooperative control strategies to stabilise the freeway mixed traffic stability and improve traffic throughput in an intelligent roadside system environment
* Cooperative Multi-Vessel Systems in Urban Waterway Networks
* Cops-Ref: A New Dataset and Task on Compositional Referring Expression Comprehension
* Copy and Paste GAN: Face Hallucination From Shaded Thumbnails
* Correction Filter for Single Image Super-Resolution: Robustifying Off-the-Shelf Deep Super-Resolvers
* Correlating Edge, Pose With Parsing
* Correlation Detection Method of Low SNR Based on Multi-Channelization, A
* Correlation-Guided Attention for Corner Detection Based Visual Tracking
* Correspondence Networks With Adaptive Neighbourhood Consensus
* Correspondence-Free Material Reconstruction using Sparse Surface Constraints
* Cost Volume Pyramid Based Depth Inference for Multi-View Stereo
* Cost-Sensitive Canonical Correlation Analysis for Semi-Supervised Multi-View Learning
* Cost-sensitive deep forest for price prediction
* Counter-examples generation from a positive unlabeled image dataset
* Counterfactual Samples Synthesizing for Robust Visual Question Answering
* Counterfactual Vision and Language Learning
* Counting Out Time: Class Agnostic Video Repetition Counting in the Wild
* Countor: count without bells and whistles
* Covariance descriptors on a Gaussian manifold and their application to image set classification
* CoverNet: Multimodal Behavior Prediction Using Trajectory Sets
* COVID-19 pandemic: What can bioengineers, computer scientists and big data specialists bring to the table, The
* CPARR: Category-based Proposal Analysis for Referring Relationships
* CPR-GCN: Conditional Partial-Residual Graph Convolutional Network in Automated Anatomical Labeling of Coronary Arteries
* CQI-Based Interference-Aware Graph Resource-Sharing Scheme for Vehicular Networks
* Crater Detection and Registration of Planetary Images Through Marked Point Processes, Multiscale Decomposition, and Region-Based Analysis
* Creating Something From Nothing: Unsupervised Knowledge Distillation for Cross-Modal Hashing
* CRNet: Cross-Reference Networks for Few-Shot Segmentation
* Crop Mapping from Sentinel-1 Polarimetric Time-Series with a Deep Neural Network
* Cross-Batch Memory for Embedding Learning
* Cross-Correlated Attention Networks for Person Re-Identification
* Cross-Domain Correspondence Learning for Exemplar-Based Image Translation
* Cross-Domain Detection via Graph-Induced Prototype Alignment
* Cross-Domain Document Object Detection: Benchmark Suite and Method
* Cross-Domain Face Presentation Attack Detection via Multi-Domain Disentangled Representation Learning
* Cross-Domain Knowledge Transfer for Prediction of Chemosensitivity in Ovarian Cancer Patients
* Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation
* Cross-Domain Semantic Segmentation via Domain-Invariant Interactive Relation Transfer
* Cross-Modal Cross-Domain Moment Alignment Network for Person Search
* Cross-Modal Deep Face Normals With Deactivable Skip Connections
* Cross-modal knowledge reasoning for knowledge-based visual question answering
* Cross-Modal Pattern-Propagation for RGB-T Tracking
* Cross-modal Variational Alignment of Latent Spaces
* Cross-Modality Person Re-Identification With Shared-Specific Feature Transfer
* Cross-regional oil palm tree counting and detection via a multi-level attention domain adaptation network
* Cross-Regional Oil Palm Tree Detection
* Cross-Spectral Face Hallucination via Disentangling Independent Factors
* Cross-View Correspondence Reasoning Based on Bipartite Graph Convolutional Network for Mammogram Mass Detection
* Cross-View Tracking for Multi-Human 3D Pose Estimation at Over 100 FPS
* CrossFusion net: Deep 3D object detection based on RGB images and point clouds in autonomous driving
* CSPNet: A New Backbone that can Enhance Learning Capability of CNN
* CSVM Architectures for Pixel-Wise Object Detection in High-Resolution Remote Sensing Images
* CTMC: Cell Tracking with Mitosis Detection Dataset Challenge
* Curb Detection and Tracking in Low-Resolution 3D Point Clouds Based on Optimization Framework
* CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition
* Curvature: A signature for Action Recognition in Video Sequences
* CvxNet: Learnable Convex Decomposition
* Cycle-Based End of Queue Estimation at Signalized Intersections Using Low-Penetration-Rate Vehicle Trajectories
* CycleISP: Real Image Restoration via Improved Data Synthesis
* Cyclically-Trained Adversarial Network for Invariant Representation Learning, A
* Cylinders extraction in non-oriented point clouds as a clustering problem
* Cylindrical Convolutional Networks for Joint Object Detection and Viewpoint Estimation
* D2Det: Towards High Quality Object Detection and Instance Segmentation
* D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features
* D3S: A Discriminative Single Shot Segmentation Tracker
* D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry
* DA-cGAN: A Framework for Indoor Radio Design Using a Dimension-Aware Conditional Generative Adversarial Network
* Daily Fire Hazard Index: A Fire Danger Rating Method for Mediterranean Areas, The
* Daily Water Level Prediction of Zrebar Lake (Iran): A Comparison between M5P, Random Forest, Random Tree and Reduced Error Pruning Trees Algorithms
* DALES: A Large-scale Aerial LiDAR Data Set for Semantic Segmentation
* DaST: Data-Free Substitute Training for Adversarial Attacks
* Data augmentation method for improving the accuracy of human pose estimation with cropped images
* Data Uncertainty Learning in Face Recognition
* Data-Efficient Semi-Supervised Learning by Reliable Edge Mining
* Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN
* Data-Free Network Quantization With Adversarial Knowledge Distillation
* Dataless Model Selection With the Deep Frame Potential
* DAVD-Net: Deep Audio-Aided Video Decompression of Talking Heads
* Debiasing Skin Lesion Datasets and Models? Not So Fast
* Deblurring by Realistic Blurring
* Deblurring Using Analysis-Synthesis Networks Pair
* Decision Support Techniques for Dermatology Using Case-Based Reasoning
* Decline in Phytoplankton Biomass along Indian Coastal Waters due to COVID-19 Lockdown
* Decoding Complex Erosion Responses for the Mitigation of Coastal Rockfall Hazards Using Repeat Terrestrial LiDAR
* Decomposing Image Generation into Layout Prediction and Conditional Synthesis
* Decoupled Representation Learning for Skeleton-Based Gesture Recognition
* Decoupling Video and Human Motion: Towards Practical Event Detection in Athlete Recordings
* Deep 3D Capture: Geometry and Reflectance From Sparse Multi-View Images
* Deep 3D Portrait From a Single Image
* Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision
* Deep Adversarial Decomposition: A Unified Framework for Separating Superimposed Images
* Deep co-training for semi-supervised image segmentation
* Deep convolutional neural networks for face and iris presentation attack detection: survey and case study
* Deep Degradation Prior for Low-Quality Image Classification
* Deep Distance Transform for Tubular Structure Segmentation in CT Scans
* Deep Drone Acrobatics
* Deep Face Super-Resolution With Iterative Collaboration Between Attentive Recovery and Landmark Estimation
* Deep Facial Non-Rigid Multi-View Stereo
* Deep Fair Clustering for Visual Learning
* Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution
* Deep Generative Model for Robust Imbalance Classification
* Deep geometric convolutional network for automatic modulation classification
* Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence
* Deep Global Registration
* Deep Graph-Convolutional Image Denoising
* Deep Grouping Model for Unified Perceptual Parsing
* Deep Homography Estimation for Dynamic Scenes
* Deep Image Spatial Transformation for Person Image Generation
* Deep Implicit Volume Compression
* Deep Iterative Surface Normal Estimation
* Deep Kinematics Analysis for Monocular 3D Human Pose Estimation
* Deep learning applications in pulmonary medical imaging: Recent updates and insights on COVID-19
* Deep Learning Approach for Burned Area Segmentation with Sentinel-2 Data, A
* Deep Learning based Corn Kernel Classification
* Deep Learning Based Multi-Modal Fusion Architectures for Maritime Vessel Detection
* Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets
* Deep Learning for Automatic Pneumonia Detection
* Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound
* Deep Learning for Handling Kernel/model Uncertainty in Image Deconvolution
* Deep Learning for Intelligent Transportation Systems: A Survey of Emerging Trends
* Deep Learning for Land Use and Land Cover Classification based on Hyperspectral and Multispectral Earth Observation Data: A Review
* Deep Learning of Warping Functions for Shape Analysis
* Deep learning strategies for foetal electrocardiogram signal synthesis
* Deep learning-based automated detection of human knee joint's synovial fluid from magnetic resonance images with transfer learning
* Deep Lighting Environment Map Estimation from Spherical Panoramas
* Deep Low-Rank Subspace Clustering
* Deep Matching Network for Handwritten Chinese Character Recognition
* Deep Metric Learning via Adaptive Learnable Assessment
* Deep Multi-Scale Convolutional LSTM Network for Travel Demand and Origin-Destination Predictions
* Deep Non-Line-of-Sight Reconstruction
* Deep Octree-based CNNs with Output-Guided Skip Connections for 3D Shape and Scene Completion
* Deep Optics for Single-Shot High-Dynamic-Range Imaging
* Deep Parametric Shape Predictions Using Distance Fields
* Deep Physical Model for Solar Irradiance Forecasting with Fisheye Images, A
* Deep Polarization Cues for Transparent Object Segmentation
* Deep Regression for Imaging Solar Magnetograms using Pyramid Generative Adversarial Networks
* Deep Relational Reasoning Graph Network for Arbitrary Shape Text Detection
* Deep Representation Learning on Long-Tailed Data: A Learnable Embedding Augmentation Perspective
* Deep Residual Flow for Out of Distribution Detection
* Deep Semantic Clustering by Partition Confidence Maximisation
* Deep Shutter Unrolling Network
* Deep Snake for Real-Time Instance Segmentation
* Deep Spatial Gradient and Temporal Depth Learning for Face Anti-Spoofing
* Deep Stereo Using Adaptive Thin Volume Representation With Uncertainty Awareness
* Deep Structure-Revealed Network for Texture Recognition
* Deep tracking using double-correlation filters by membership weighted decision
* Deep Transfer Learning For Plant Center Localization
* Deep Unfolding Network for Image Super-Resolution
* Deep video-to-video transformations for accessibility with an application to photosensitivity
* Deep Wavelet Network with Domain Adaptation for Single Image Demoireing
* Deep White-Balance Editing
* Deep-Like Hashing-in-Hash for Visual Retrieval: An Embarrassingly Simple Method
* DeepCap: Monocular Human Performance Capture Using Weak Supervision
* DeepDeform: Learning Non-Rigid RGB-D Reconstruction With Semi-Supervised Data
* DeepEMD: Few-Shot Image Classification With Differentiable Earth Mover's Distance and Structured Classifiers
* DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection
* DeepFaceFlow: In-the-Wild Dense 3D Facial Motion Estimation
* DeepFake Detection by Analyzing Convolutional Traces
* Deepfakes Detection with Automatic Face Weighting
* DeepFLASH: An Efficient Network for Learning-Based Medical Image Registration
* DeepLPF: Deep Local Parametric Filters for Image Enhancement
* Deeply supervised convolutional neural network for shadow detection based on a novel aerial shadow imagery dataset
* DeepSTD: Mining Spatio-Temporal Disturbances of Multiple Context Factors for Citywide Traffic Flow Prediction
* Deepstrip: High-Resolution Boundary Refinement
* DeFeat-Net: General Monocular Depth via Simultaneous Unsupervised Representation Learning
* Defending Against Model Stealing Attacks With Adaptive Misinformation
* Defending Against Universal Attacks Through Selective Feature Regeneration
* Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack
* Defending Black Box Facial Recognition Classifiers Against Adversarial Attacks
* Defining Image Memorability Using the Visual Memory Schema
* Defining Laughter Context for Laughter Synthesis with Spontaneous Speech Corpus
* Deflating Dataset Bias Using Synthetic Data Augmentation
* Defocus map estimation from a single image using improved likelihood feature and edge-based basis
* Deformable Siamese Attention Networks for Visual Object Tracking
* Deformation-Aware Unpaired Image Translation for Pose Estimation on Laboratory Animals
* Delineation of Crop Field Areas and Boundaries from UAS Imagery Using PBIA and GEOBIA with Random Forest Classification
* Dense Dilated Convolutions' Merging Network for Land Cover Classification
* Dense Regression Network for Video Grounding
* Densely Connected Search Space for More Flexible Neural Architecture Search
* Densely Self-guided Wavelet Network for Image Denoising
* Density Map Guided Object Detection in Aerial Images
* Density peak clustering based on relative density relationship
* Density peaks clustering based on density backbone and fuzzy neighborhood
* Density-Aware Feature Embedding for Face Clustering
* Density-Aware Graph for Deep Semi-Supervised Visual Recognition
* Density-Based Clustering for 3D Object Detection in Point Clouds
* DEPARA: Deep Attribution Graph for Deep Knowledge Transferability
* Deploying Image Deblurring across Mobile Devices: A Perspective of Quality and Latency
* Depth image super-resolution using correlation-controlled color guidance and multi-scale symmetric network
* Depth Sensing Beyond LiDAR Range
* Deriving a Frozen Area Fraction From Metop ASCAT Backscatter Based on Sentinel-1
* Deriving Wheat Crop Productivity Indicators Using Sentinel-1 Time Series
* Design a TDCP-Smoothed GNSS/Odometer Integration Scheme with Vehicular-Motion Constraint and Robust Regression, The
* Design of a Novel Multiple-Parameter Fractional Number-Theoretic Transform and Its Application to Image Encryption, The
* Designing Network Design Spaces
* Detail-Enhanced Multi-Scale Exposure Fusion in YUV Color Space
* Detail-recovery Image Deraining via Context Aggregation Networks
* Detailed 2D-3D Joint Representation for Human-Object Interaction
* Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors
* Detecting and Assessing Nondominant Farmland Area with Long-Term MODIS Time Series Images
* Detecting Attended Visual Targets in Video
* Detecting CNN-Generated Facial Images in Real-World Scenarios
* Detecting Deep-Fake Videos from Phoneme-Viseme Mismatches
* Detecting Deepfake Videos using Attribution-Based Confidence Metric
* Detecting Double JPEG Compressed Color Images With the Same Quantization Matrix in Spherical Coordinates
* Detecting European Aspen (Populus tremula L.) in Boreal Forests Using Airborne Hyperspectral and Airborne Laser Scanning Data
* Detecting GANs and Retouching based Digital Alterations via DAD-HCNN
* Detecting Unipolar and Bipolar Depressive Disorders from Elicited Speech Responses Using Latent Affective Structure Model
* Detecting Video Speed Manipulation
* Detection and Classification of Pollen Grain Microscope Images
* Detection and pose estimation of auto-rickshaws from traffic images
* Detection and Retrieval of Out-of-Distribution Objects in Semantic Segmentation
* Detection in Crowded Scenes: One Proposal, Multiple Predictions
* Detection of Insect Damage in Green Coffee Beans Using VIS-NIR Hyperspectral Imaging
* Detection of radioactive waste sites in the Chornobyl exclusion zone using UAV-based lidar data and multispectral imagery
* Detection of rotational symmetry in curves represented by the slope chain code
* Detection of Tailings Dams Using High-Resolution Satellite Imagery and a Single Shot Multibox Detector in the Jing-Jin-Ji Region, China
* Detection of Thermal Changes Related to the 2011 Shinmoedake Volcano Activity and Japan: Spatiotemporal Variation of Singularity of MODIS Data after Discriminating False Changes Due to Cloud
* Determinant Regularization for Gradient-Efficient Graph Matching
* Determination of Cloud Motion Applying the Lucas-Kanade Method to Sky Cam Imagery
* Determination of the Key Comparison Reference Value from Multiple Field Calibration of Sentinel-2B/MSI over the Baotou Site
* Determining Vehicle Turn Counts at Multiple Intersections by Separated Vehicle Classes Using CNNs
* Development of a Novel Framework to Propose New Strategies for Automated External Defibrillators Deployment Targeting Residential Out-Of-Hospital Cardiac Arrests: Application to the City of Milan
* Development of an Asymmetric Car-Following Model and Simulation Validation
* Development of an embedded road boundary detection system based on deep learning
* Development of an intelligent CAD system for mass detection in mammographic images
* Development of UAV-Based Target Tracking and Recognition Systems
* Devil Is in the Details: Delving Into Unbiased Data Processing for Human Pose Estimation, The
* Di-phase midway convolution and deconvolution network for brain tumor segmentation in MRI images
* Diagnosing Rarity in Human-object Interaction Detection
* Diagnosis of Coronavirus Disease 2019 (COVID-19) with Structured Latent Multi-View Representation Learning
* Diagram Image Retrieval and Analysis: Challenges and Opportunities
* Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning
* Differentiable Adaptive Computation Time for Visual Reasoning
* Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision
* Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation
* diffusion-based compensation approach for intensity inhomogeneity correction in MRI, A
* Direct Short-Term Forecast of Photovoltaic Power through a Comparative Study between COMS and Himawari-8 Meteorological Satellite Images in a Deep Neural Network
* Directional statistics-based quality measure for spotlight color images
* Directional Vector-Based Skin Lesion Segmentation: A Novel Approach to Skin Segmentation
* Dirichlet Variational Autoencoder
* Discovering and incorporating latent target-domains for domain adaptation
* Discovering Human Interactions With Novel Objects via Zero-Shot Learning
* Discovering Synchronized Subsets of Sequences: A Large Scale Solution
* Discrete Model Compression With Resource Constraint for Deep Neural Networks
* Discriminant Distribution-Agnostic Loss for Facial Expression Recognition in the Wild
* Discriminative and Geometry-Aware Unsupervised Domain Adaptation
* Discriminative block-diagonal covariance descriptors for image set classification
* Discriminative Multi-Modality Speech Recognition
* Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning
* Disentangled Image Generation Through Structured Noise Injection
* Disentangled Representation Learning of Makeup Portraits in the Wild
* Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition
* Disentangling Invertible Interpretation Network for Explaining Latent Representations, A
* Disentangling Physical Dynamics From Unknown Factors for Unsupervised Video Prediction
* Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation
* Disparities selection controlled by the compensated image quality for a given bitrate
* Disparity-Aware Domain Adaptation in Stereo Image Restoration
* DIST: Rendering Deep Implicit Signed Distance Function With Differentiable Sphere Tracing
* Distance-Driven Alliance for a P2P Live Video System, A
* Distilled Semantics for Comprehensive Scene Understanding from Videos
* Distilling Cross-Task Knowledge via Relationship Matching
* Distilling Effective Supervision From Severe Label Noise
* Distilling Image Dehazing With Heterogeneous Task Imitation
* Distilling Knowledge From Graph Convolutional Networks
* Distilling Knowledge from Refinement in Multiple Instance Detection Networks
* Distortion Agnostic Deep Watermarking
* Distractor-aware discrimination learning for online multiple object tracking
* Distributed Approximate Dynamic Control for Traffic Management of Busy Railway Networks
* Distributed Cyber Attacks Detection and Recovery Mechanism for Vehicle Platooning
* Distribution-Aware Coordinate Representation for Human Pose Estimation
* Distribution-Induced Bidirectional Generative Adversarial Network for Graph Representation Learning
* Disturbance-Observer-Based Tracking Controller for Neural Network Driving Policy Transfer
* Dithered backprop: A sparse and quantized backpropagation algorithm for more efficient deep neural network training
* Diverse Image Generation via Self-Conditioned GANs
* Diverse training dataset generation based on a multi-objective optimization for semi-Supervised classification
* Diversified Arbitrary Style Transfer via Deep Feature Perturbation
* divide-and-conquer strategy for facial landmark detection using dual-task CNN architecture, A
* DLT-Net: deep learning transmittance network for single image haze removal
* DLWL: Improving Detection for Lowshot Classes With Weakly Labelled Data
* DMCP: Differentiable Markov Channel Pruning for Neural Networks
* DNDNet: Reconfiguring CNN for Adversarial Robustness
* DNU: Deep Non-Local Unrolling for Computational Spectral Imaging
* DOA-GAN: Dual-Order Attentive Generative Adversarial Network for Image Copy-Move Forgery Detection and Localization
* Domain Adaptation by Joint Distribution Invariant Projections
* Domain Adaptation for Image Dehazing
* Domain Adaptive Image-to-Image Translation
* Domain Agnostic Feature Learning for Image and Video Based Face Anti-spoofing
* Domain Balancing: Face Recognition on Long-Tailed Domains
* Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation
* Domain-Aware Visual Bias Eliminating for Generalized Zero-Shot Learning
* Don't Even Look Once: Synthesizing Features for Zero-Shot Detection
* Don't Hit Me! Glass Detection in Real-World Scenes
* Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias
* DOPS: Learning to Detect 3D Objects and Predict Their 3D Shapes
* DoveNet: Deep Image Harmonization via Domain Verification
* DPGN: Distribution Propagation Graph Network for Few-Shot Learning
* DR Loss: Improving Object Detection by Distributional Ranking
* DRCDN: learning deep residual convolutional dehazing networks
* Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion
* Driveability Study on Automated Longitudinal Vehicle Control, A
* Drone Image Segmentation Using Machine and Deep Learning for Mapping Raised Bog Vegetation Communities
* Dropout as an Implicit Gating Mechanism For Continual Learning
* DSGN: Deep Stereo Geometry Network for 3D Object Detection
* DSNAS: Direct Neural Architecture Search Without Parameter Retraining
* Dual Embedding Expansion for Vehicle Re-identification
* Dual Super-Resolution Learning for Semantic Segmentation
* Dual-domain Deep Convolutional Neural Networks for Image Demoireing
* Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia
* DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes
* DualSDF: Semantic Shape Manipulation Using a Two-Level Representation
* DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction With Deep T1 Prior
* DUNIT: Detection-Based Unsupervised Image-to-Image Translation
* Dynamic Approach to Quantitative Precipitation Estimation Using Multiradar Multigauge Network, A
* Dynamic Attention-based Visual Odometry
* Dynamic Convolution: Attention Over Convolution Kernels
* Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference
* Dynamic Face Video Segmentation via Reinforcement Learning
* Dynamic Fluid Surface Reconstruction Using Deep Neural Network
* Dynamic graph convolutional network for multi-video summarization
* Dynamic Graph Message Passing Networks
* Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives
* Dynamic Inference: A New Approach Toward Efficient Video Action Recognition
* Dynamic Influence Elimination and Chlorophyll Content Diagnosis of Maize Using UAV Spectral Imagery
* Dynamic Markov Chain Monte Carlo-Based Spectrum Sensing
* Dynamic Multiscale Graph Neural Networks for 3D Skeleton Based Human Motion Prediction
* Dynamic Neural Relational Inference
* Dynamic Neural Relational Inference for Forecasting Trajectories
* Dynamic Refinement Network for Oriented and Densely Packed Object Detection
* Dynamic System Optimum Analysis of Multi-Region Macroscopic Fundamental Diagram Systems With State-Dependent Time-Varying Delays
* Dynamic Traffic Modeling From Overhead Imagery
* Dynamics and Drivers of the Alpine Timberline on Gongga Mountain of Tibetan Plateau-Adopted from the Otsu Method on Google Earth Engine
* Eagle-Eyed Multitask CNNs for Aerial Image Retrieval and Scene Classification
* Earth Observation Data Supporting Non-Communicable Disease Research: A Review
* ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
* EcoNAS: Finding Proxies for Economical Neural Architecture Search
* Edge of Depth: Explicit Constraints Between Segmentation and Depth, The
* Editing in Style: Uncovering the Local Semantics of GANs
* Editorial for Special Issue Applications of Synthetic Aperture Radar (SAR) for Land Cover Analysis
* Editorial for the Special Issue: Ten Years of Remote Sensing at Barcelona Expert Center
* Editorial of the special issue TIAR: Topological image analysis and recognition
* EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks
* Eff-UNet: A Novel Architecture for Semantic Segmentation in Unstructured Environment
* Effect of Annotation Errors on Drone Detection with YOLOv3
* Effect of layer-wise fine-tuning in magnification-dependent classification of breast cancer histopathological image
* Effect of Water Transfer during Non-growing Season on the Wetland Ecosystem via Surface and Groundwater Interactions in Arid Northwestern China, The
* Effective Data Fusion with Generalized Vegetation Index: Evidence from Land Cover Segmentation in Agriculture
* Effective Deep-Learning-Based Depth Data Analysis on Low-Power Hardware for Supporting Elderly Care
* Effective footstep planning using homotopy-class guidance
* Effective Training of Deep Convolutional Neural Networks for Hyperspectral Image Classification through Artificial Labeling
* Effective video hyperlinking by means of enriched feature sets and monomodal query combinations
* Effectively Unbiased FID and Inception Score and Where to Find Them
* Effects of CO2 Changes on Hyperspectral Infrared Radiances and Its Implications on Atmospheric Temperature Profile Retrieval and Data Assimilation in NWP
* Effects of Color Quantization on JPEG Compression
* Efficient Adversarial Training With Transferable Adversarial Examples
* efficient and globally optimal method for camera pose estimation using line features, An
* Efficient and Robust Shape Correspondence via Sparsity-Enforced Quadratic Assignment
* Efficient classification of chronic kidney disease by using multi-kernel support vector machine and fruit fly optimization algorithm
* Efficient Context-Aware Lossy Image Compression
* Efficient Debanding Filtering for Inverse Tone Mapped High Dynamic Range Videos
* Efficient Derivative Computation for Cumulative B-Splines on Lie Groups
* Efficient Dynamic Scene Deblurring Using Spatially Variant Deconvolution Network With Optical Flow Guided Training
* Efficient Fire Detection Method Based on Multiscale Feature Extraction, Implicit Deep Supervision and Channel Attention Mechanism, An
* Efficient Location and Extraction of the Iceberg Calved Areas of the Antarctic Ice Shelves
* Efficient Neural Vision Systems Based on Convolutional Image Acquisition
* Efficient NVoD Scheme Using Implicit Error Correction and Subchannels for Wireless Networks, An
* Efficient Parameter-Free Adaptive Multi-Modal Hashing
* Efficient PointLSTM for Point Clouds Based Gesture Recognition, An
* Efficient sampling-based energy function evaluation for ensemble optimization using simulated annealing
* Efficient structure from motion for large-scale UAV images: A review and a comparison of SfM tools
* Efficient use of recent progresses for Real-time Semantic segmentation
* Efficient Visual Recognition
* efficient volume repairing method by using a modified Allen-Cahn equation, An
* EfficientDet: Scalable and Efficient Object Detection
* Ego-Topo: Environment Affordances From Egocentric Video
* ELECTRICITY: An Efficient Multi-camera Vehicle Tracking System for Intelligent City
* Embarrassingly Simple Baseline to One-shot Learning, An
* Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning
* Embodied Language Grounding With 3D Visual Feature Representations
* EmotiCon: Context-Aware Multimodal Emotion Recognition Using Frege's Principle
* Emotion Recognition on Twitter: Comparative Study and Training a Unison Model
* Empirical Agent-Based Model for Regional Knowledge Creation in Europe, An
* Enabling Incremental Knowledge Transfer for Object Detection at the Edge
* Enabling monocular depth perception at the very edge
* End-to-End 3D Point Cloud Instance Segmentation Without Detection
* End-to-End Adversarial-Attention Network for Multi-Modal Clustering
* End-to-End Camera Calibration for Broadcast Videos
* End-to-End Edge Aggregation Network for Moving Object Segmentation, An
* End-to-End Illuminant Estimation Based on Deep Metric Learning
* End-to-End Lane Marker Detection via Row-wise Classification
* End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization
* End-to-End Learning for Video Frame Compression with Self-Attention
* End-to-End Learning Local Multi-View Descriptors for 3D Point Clouds
* End-to-End Learning of Visual Representations From Uncurated Instructional Videos
* End-to-End Model-Free Reinforcement Learning for Urban Driving Using Implicit Affordances
* End-to-End Optimization of Scene Layout
* End-to-end Optimized Video Compression with MV-Residual Prediction
* End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection
* Energy-Efficient Train Scheduling and Rolling Stock Circulation Planning in a Metro Line: A Linear Programming Approach
* Enhanced automatic twin support vector machine for imbalanced data classification
* Enhanced Blind Face Restoration With Multi-Exemplar Images and Adaptive Spatial Feature Fusion
* Enhanced Transport Distance for Unsupervised Domain Adaptation
* Enhancing Adequacy of Isolated Systems With Electric Vehicle-Based Emergency Strategy
* Enhancing Cross-Task Black-Box Transferability of Adversarial Examples With Dispersion Reduction
* Enhancing Data-Driven Algorithms for Human Pose Estimation and Action Recognition Through Simulation
* Enhancing Facial Data Diversity with Style-based Face Aging
* Enhancing Generic Segmentation With Learned Region Representations
* Enhancing Intrinsic Adversarial Robustness via Feature Pyramid Decoder
* Enhancing perception for the visually impaired with deep learning techniques and low-cost wearable sensors
* Enhancing Remote-PPG Pulse Extraction in Disturbance Scenarios Utilizing Spectral Characteristics
* ENSEI: Efficient Secure Inference via Frequency-Domain Homomorphic Convolution for Privacy-Preserving Visual Recognition
* Ensemble Dehazing Networks for Non-homogeneous Haze
* Ensemble Generative Cleaning With Feedback Loops for Defending Adversarial Attacks
* Ensemble Modelling of Skipjack Tuna (Katsuwonus pelamis) Habitats in the Western North Pacific Using Satellite Remotely Sensed Data; a Comparative Analysis Using Machine-Learning Models
* Ensembling complex network perspectives for mild cognitive impairment detection with artificial neural networks
* ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification
* Epipolar Transformer for Multi-view Human Pose Estimation
* Epipolar Transformers
* Episode-Based Prototype Generating Network for Zero-Shot Learning
* EPOS: Estimating 6D Pose of Objects With Symmetries
* Equalization Loss for Long-Tailed Object Recognition
* Erasing Integrated Learning: A Simple Yet Effective Approach for Weakly Supervised Object Localization
* ESA Permanent Facility for Altimetry Calibration: Monitoring Performance of Radar Altimeters for Sentinel-3A, Sentinel-3B and Jason-3 Using Transponder and Sea-Surface Calibrations with FRM Standards, The
* Estimates of Conservation Tillage Practices Using Landsat Archive
* Estimating Low-Rank Region Likelihood Maps
* Estimating Regional Soil Moisture Distribution Based on NDVI and Land Surface Temperature Time Series Data in the Upstream of the Heihe River Watershed, Northwest China
* Estimating River Sediment Discharge in the Upper Mississippi River Using Landsat Imagery
* Estimation of 1-km all-weather remotely sensed land surface temperature based on reconstructed spatial-seamless satellite passive microwave brightness temperature and thermal infrared data
* Estimation of Canopy Biomass Components in Paddy Rice from Combined Optical and SAR Data Using Multi-Target Gaussian Regressor Stacking
* Estimation of Lava Flow Temperatures Using Landsat Night-Time Images: Case Studies from Eruptions of Mt. Etna and Stromboli (Sicily, Italy), Kilauea (Hawaii Islan
* Estimation of Link Travel Time Distribution With Limited Traffic Detectors
* Estimation of Orientation and Camera Parameters from Cryo-Electron Microscopy Images with Variational Autoencoders and Generative Adversarial Networks
* Estimation of Seasonal Evapotranspiration for Crops in Arid Regions Using Multisource Remote Sensing Images
* Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks
* Evade Deep Image Retrieval by Stashing Private Images in the Hash Space
* Evading Deepfake-Image Detectors with White- and Black-Box Attacks
* Evaluating salient object detection in natural images with multiple objects having multi-level saliency
* Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision
* Evaluating the Preconditions of Two Remote Sensing SWE Retrieval Algorithms over the US
* Evaluating Weakly Supervised Object Localization Methods Right
* Evaluation Analysis of Landsat Level-1 and Level-2 Data Products Using In Situ Measurements
* Evaluation of a variable speed limit system using a hierarchical framework under a connected vehicles environment: a case study of a field test in Seattle
* Evaluation of Assimilating FY-3C MWHS-2 Radiances Using the GSI Global Analysis System
* Evaluation of BDS-3 Orbit Determination Strategies Using Ground-Tracking and Inter-Satellite Link Observation
* Evaluation of Evapotranspiration Models Using Different LAI and Meteorological Forcing Data from 1982 to 2017
* Evaluation of nano-filler dispersion quality in polymeric films with binary feature characteristics and fractal analysis
* Evaluation of Objective Image Quality Assessment for Thermal Infrared Video Tone Mapping, An
* Evaluation of Ocean Color Remote Sensing Algorithms for Diffuse Attenuation Coefficients and Optical Depths with Data Collected on BGC-Argo Floats
* Evaluation of Rapeseed Winter Crop Damage Using UAV-Based Multispectral Imagery
* Evaluation of Sentinel-2 and Landsat 8 Images for Estimating Chlorophyll-a Concentrations in Lake Chad, Africa
* Evaluation of Single-Pixel Camera Resolution, The
* Evaluation of Spatial Resilience of Highway Networks in Response to Adverse Weather Conditions
* Evaluation of the Spatiotemporal Variations in the Eco-environmental Quality in China Based on the Remote Sensing Ecological Index
* Event detection in coarsely annotated sports videos via parallel multi receptive field 1D convolutions
* Event Probability Mask (EPM) and Event Denoising Convolutional Neural Network (EDnCN
* Event-triggered intelligent energy management strategy for plug-in hybrid electric buses based on vehicle cloud optimisation
* EventCap: Monocular 3D Capture of High-Speed Human Motions Using an Event Camera
* EventSR: From Asynchronous Events to Image Reconstruction, Restoration, and Super-Resolution via End-to-End Adversarial Learning
* Evidential-Based Approach for Trajectory Planning With Tentacles, for Autonomous Vehicles
* Evolving Losses for Unsupervised Video Representation Learning
* Exemplar Normalization for Learning Deep Representation
* Exemplar-Based Denoising: A Unified Low-Rank Recovery Framework
* Experimental Evaluation and Consistency Comparison of UAV Multispectral Minisensors
* Explainable Object-Induced Action Decision for Autonomous Vehicles
* Explaining Autonomous Driving by Learning End-to-End Visual Attention
* Explaining Failure: Investigation of Surprise and Expectation in CNNs
* Explaining Knowledge Distillation by Quantifying the Knowledge
* Exploit Clues From Views: Self-Supervised and Regularized Learning for Multiview Object Recognition
* Exploiting High-Resolution Remote Sensing Soil Moisture to Estimate Irrigation Water Amounts over a Mediterranean Region
* Exploiting Joint Robustness to Adversarial Perturbations
* Explorable Super Resolution
* Exploring a Humanoid Video-Understanding Algorithm Guided by Behavior
* Exploring Annual Urban Expansions in the Guangdong-Hong Kong-Macau Greater Bay Area: Spatiotemporal Features and Driving Factors in 1986-2017
* Exploring Bottom-Up and Top-Down Cues With Attentive Learning for Webly Supervised Object Detection
* Exploring Categorical Regularization for Domain Adaptive Object Detection
* Exploring Category-Agnostic Clusters for Open-Set Domain Adaptation
* Exploring Data Aggregation in Policy Learning for Vision-Based Urban Autonomous Driving
* Exploring Phrase Grounding without Training: Contextualisation and Extension to Text-Based Image Retrieval
* Exploring Racial Bias within Face Recognition via per-subject Adversarially-Enabled Data Augmentation
* Exploring Self-Attention for Image Recognition
* Exploring Spatial-Temporal Multi-Frequency Analysis for High-Fidelity and Temporal-Consistency Video Prediction
* Exploring the Spatial Distribution Characteristics of Emotions of Weibo Users in Wuhan Waterfront Based on Gender Differences Using Social Media Texts
* Exploring the Use of DSCOVR/EPIC Satellite Observations to Monitor Vegetation Phenology
* Exploring Unlabeled Faces for Novel Attribute Discovery
* Extended Geometry and Probability Model for GNSS+ Constellation Performance Evaluation
* Extending Absolute Pose Regression to Multiple Scenes
* Extensible Multi-Sensor Fusion Framework for 3D Imaging, An
* Extensions and limitations of randomized smoothing for robustness guarantees
* Extreme Relative Pose Network Under Hybrid Representations
* Extremely Dense Point Correspondences Using a Learned Feature Descriptor
* F-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation
* FabSoften: Face Beautification via Dynamic Skin Smoothing, Guided Feathering, and Texture Restoration
* Face attribute editing based on generative adversarial networks
* Face re-identification challenge: Are face recognition models good enough?
* Face recognition using patch manifold learning across plastic surgery from a single training exemplar per enrolled person
* Face Recognition: Too Bias, or Not Too Bias?
* Face X-Ray for More General Face Forgery Detection
* FaceScape: A Large-Scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction
* Facial Action Unit Recognition in the Wild with Multi-Task CNN Self-Training for the EmotioNet Challenge
* Facial Expression Recognition in Videos Using Dynamic Kernels
* Factorized Higher-Order CNNs With an Application to Spatio-Temporal Emotion Estimation
* Failure Mapping and Genealogical Research on Metro Operational Incidents, A
* Fake News Detection using Higher-order User to User Mutual-attention Progression in Propagation Paths
* FALCON: A Fourier Transform Based Approach for Fast and Secure Convolutional Neural Network Predictions
* FALCONS: FAst Learner-grader for CONtorted poses in Sports
* Fantastic Answers and Where to Find Them: Immersive Question-Directed Visual Attention
* Farm Parcel Delineation Using Spatio-temporal Convolutional Networks
* Fashion Editing With Adversarial Parsing Learning
* Fashion Outfit Complementary Item Retrieval
* Fast and Accurate Retrieval of Methane Concentration From Imaging Spectrometer Data Using Sparsity Prior
* Fast and efficient difference of block means code for palmprint recognition
* Fast and Flexible Image Blind Denoising via Competition of Experts
* Fast and incremental algorithms for exponential semi-supervised discriminant embedding
* Fast and robust visual tracking with hard balanced focal loss and guided domain adaption
* Fast Deep Multi-patch Hierarchical Network for Nonhomogeneous Image Dehazing
* Fast FoV-Switching DASH System Based on Tiling Mechanism for Practical Omnidirectional Video Services, A
* fast graph-based data classification method with applications to 3D sensory data in the form of point clouds, A
* Fast Hardware-Aware Neural Architecture Search
* Fast Human Head and Shoulder Detection Using Convolutional Networks and RGBD Data
* Fast MSER
* Fast Soft Color Segmentation
* Fast sparse coding networks for anomaly detection in videos
* Fast Sparse ConvNets
* Fast Symmetric Diffeomorphic Image Registration with Convolutional Neural Networks
* Fast Template Matching and Update for Video Object Tracking and Segmentation
* Fast Texture Synthesis via Pseudo Optimizer
* Fast Unsupervised Anomaly Detection in Traffic Videos
* Fast Video Object Segmentation With Temporal Aggregation Network and Dynamic Template Matching
* Fast(er) Reconstruction of Shredded Text Documents via Self-Supervised Deep Asymmetric Metric Learning
* Fast-MVSNet: Sparse-to-Dense Multi-View Stereo With Learned Propagation and Gauss-Newton Refinement
* FastDVDnet: Towards Real-Time Deep Video Denoising Without Flow Estimation
* FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions
* FBRNN: Feedback Recurrent Neural Network for Extreme Image Super-Resolution
* FDA: Fourier Domain Adaptation for Semantic Segmentation
* Feature encoding with hybrid heterogeneous structure model for image classification
* Feature mask network for person re-identification
* Feature selection and learning for graphlet kernel
* Feature Selection Based Transfer Subspace Learning for Speech Emotion Recognition
* Feature-Metric Registration: A Fast Semi-Supervised Approach for Robust Point Cloud Registration Without Correspondences
* FeatureFlow: Robust Video Interpolation via Structure-to-Texture Generation
* Feedback U-net for Cell Image Segmentation
* Feedforward Compensation-Based Finite-Time Traffic Flow Controller for Intelligent Connected Vehicle Subject to Sudden Velocity Changes of Leading Vehicle
* FEHash: Full Entropy Hash for Face Template Protection
* Feudal Steering: Hierarchical Learning for Steering Angle Prediction
* Few Sample Knowledge Distillation for Efficient Network Compression
* Few-shot activity recognition with cross-modal memory network
* Few-Shot Class-Incremental Learning
* Few-shot Image Recognition for UAV Sports Cinematography
* Few-Shot Learning of Part-Specific Probability Space for 3D Shape Segmentation
* Few-Shot Learning via Embedding Adaptation With Set-to-Set Functions
* Few-Shot Object Detection With Attention-RPN and Multi-Relation Detector
* Few-Shot Open-Set Recognition Using Meta-Learning
* Few-Shot Pill Recognition
* Few-Shot Video Classification via Temporal Alignment
* FGCN: Deep Feature-based Graph Convolutional Network for Semantic Segmentation of Urban 3D Point Clouds
* FGN: Fully Guided Network for Few-Shot Instance Segmentation
* Filter Grafting for Deep Neural Networks
* Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks
* Finding Berries: Segmentation and Counting of Cranberries using Point Supervision and Shape Priors
* Findings from a Combined Subsea LiDAR and Multibeam Survey at Kingston Reef, Western Australia
* Fine grained pointing recognition for natural drone guidance
* Fine-grained action recognition using multi-view attentions
* Fine-Grained Generalized Zero-Shot Learning via Dense Attribute-Based Attention
* Fine-Grained Image-to-Image Transformation Towards Visual Recognition
* Fine-Grained Multi-human Parsing
* Fine-Grained Recognition in High-throughput Phenotyping
* Fine-Grained Video-Text Retrieval With Hierarchical Graph Reasoning
* FineGym: A Hierarchical Video Dataset for Fine-Grained Action Understanding
* Fingerprint enhancement using multi-scale classification dictionaries with reduced dimensionality
* Fire Blight Disease Detection for Apple Trees: Hyperspectral Analysis of Healthy, Infected and Dry Leaves
* Firn Clutter Constraints on the Design and Performance of Orbital Radar Ice Sounders
* First Measurement of Soil Freeze/Thaw Cycles in the Tibetan Plateau Using CYGNSS GNSS-R Data
* Fitness adaptive deer hunting-based region growing and recurrent neural network for melanoma skin cancer detection
* Fixed-Point Back-Propagation Training
* Flood Detection Using Multi-Modal and Multi-Temporal Images: A Comparative Study
* Flow Contrastive Estimation of Energy-Based Models
* Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and Stereo Matching
* FM2u-Net: Face Morphological Multi-Branch Network for Makeup-Invariant Face Verification
* FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation
* FocalMix: Semi-Supervised Learning for 3D Medical Image Detection
* Focus Longer to See Better: Recursively Refined Attention for Fine-Grained Image Classification
* Focus on Defocus: Bridging the Synthetic to Real Domain Gap for Depth Estimation
* Fold Electrocardiogram Into a Fingerprint
* Foliar Spectra and Traits of Bog Plants across Nitrogen Deposition Gradients
* FoNet: A Memory-efficient Fourier-based Orthogonal Network for Object Recognition
* Font-ProtoNet: Prototypical Network based Font Identification of Document Images in Low Data Regime
* Footprints and Free Space From a Single Color Image
* Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery
* Forgery Detection in Hyperspectral Document Images using Graph Orthogonal Nonnegative Matrix Factorization
* Forward and Backward Information Retention for Accurate Binary Neural Networks
* Fourier-Based Automatic Transformation between Mapping Shapes: Cadastral and Land Registry Applications
* FPConv: Learning Local Flattening for Point Convolution
* FPGA Accelerator for Real-Time Lossy Compression of Hyperspectral Images, An
* Fractal Dimension of Color Fractal Images With Correlated Color Components
* Fractional Data Distillation Model for Anomaly Detection in Traffic Videos
* Framework Uniting Ontology-Based Geodata Integration and Geovisual Analytics, A
* Freely typed keystroke dynamics-based user authentication for mobile devices based on heterogeneous features
* FReeNet: Multi-Identity Face Reenactment
* Frequency Domain Compact 3D Convolutional Neural Networks
* FroDO: From Detections to 3D Objects
* From Depth What Can You See? Depth Completion via Auxiliary Image Reconstruction
* From Fidelity to Perceptual Quality: A Semi-Supervised Approach for Low-Light Image Enhancement
* From Image Collections to Point Clouds With Self-Supervised Shape and Pose Networks
* From LiDAR point cloud towards digital twin city: Clustering city objects based on Gestalt principles
* From neighbors to strengths-the k-strongest strengths (kSS) classification algorithm
* From Paris to Berlin: Discovering Fashion Style Influences Around the World
* From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality
* From Two Rolling Shutters to One Global Shutter
* Front2Back: Single View 3D Shape Reconstruction via Front to Back Prediction
* FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation
* Full-Reference Quality Metric Based on Neural Network to Assess the Visual Quality of Remote Sensing Images
* Fully Automated Segmentation of 2D and 3D Mobile Mapping Data for Reliable Modeling of Surface Structures Using Deep Learning
* Fully convolutional networks for land cover classification from historical panchromatic aerial photographs
* Fully Convolutional Neural Network for Rapid Flood Segmentation in Synthetic Aperture Radar Imagery
* Fully Homomorphic Encryption Encapsulated Difference Expansion for Reversible Data Hiding in Encrypted Domain
* Further Non-local and Channel Attention Networks for Vehicle Re-identification
* FusAtNet: Dual Attention based SpectroSpatial Multimodal Fusion Network for Hyperspectral and LiDAR Classification
* Fusing Wearable IMUs With Multi-View Images for Human Pose Estimation: A Geometric Approach
* Fusion of Multiple Gridded Biomass Datasets for Generating a Global Forest Aboveground Biomass Map
* Fusion-Aware Point Convolution for Online Semantic 3D Scene Segmentation
* Future Video Synthesis With Object Motion Prediction
* Fuzzy logic and histogram of normal orientation-based 3D keypoint detection for point clouds
* G-TAD: Sub-Graph Localization for Temporal Action Detection
* G2L-Net: Global to Local Network for Real-Time 6D Pose Estimation With Embedding Vector Features
* G3AN: Disentangling Appearance and Motion for Video Generation
* Gabor Feature-Based LogDemons With Inertial Constraint for Nonrigid Image Registration
* Gait Recognition via Semi-supervised Disentangled Representation Learning to Identity and Covariate Features
* GaitPart: Temporal Part-Based Model for Gait Recognition
* Game-Theoretic Analysis of Reallocation Mechanisms for Airport Landing Slots, A
* GAMIN: Generative Adversarial Multiple Imputation Network for Highly Missing Data
* Gaming Away Stress: Using Biofeedback Games to Learn Paced Breathing
* GAN Compression: Efficient Architectures for Interactive Conditional GANs
* GAN That Warped: Semantic Attribute Editing With Unpaired Data, The
* GanHand: Predicting Human Grasp Affordances in Multi-Object Scenes
* Gap of Semantic Parsing: A Survey on Automatic Math Word Problem Solvers, The
* Garden of Forking Paths: Towards Multi-Future Trajectory Prediction, The
* Gate-Shift Networks for Video Action Recognition
* Gated Channel Transformation for Visual Recognition
* Gaussian Mixture Models for Parking Demand Data
* Gaussian processes retrieval of LAI from Sentinel-2 top-of-atmosphere radiance data
* gDLS*: Generalized Pose-and-Scale Estimation Given Scale and Gravity Priors
* Gender based face aging with cycle-consistent adversarial networks
* General Framework for Deep Supervised Discrete Hashing, A
* General Parameterization Scheme for the Estimation of Incident Photosynthetically Active Radiation Under Cloudy Skies, A
* Generalized Autoencoder for Volumetric Shape Generation
* Generalized Class Incremental Learning
* Generalized low-rank approximation of matrices based on multiple transformation pairs
* Generalized ODIN: Detecting Out-of-Distribution Image Without Learning From Out-of-Distribution Data
* Generalized Product Quantization Network for Semi-Supervised Image Retrieval
* Generalized Zero-Shot Learning via Over-Complete Distribution
* Generalizing Hand Segmentation in Egocentric Videos With Uncertainty-Guided Model Adaptation
* Generating 3D People in Scenes Without People
* Generating a Spatio-Temporal Complete 30 m Leaf Area Index from Field and Remote Sensing Data
* Generating Accurate Pseudo Examples for Continual Learning
* Generating Accurate Pseudo-Labels in Semi-Supervised Learning and Avoiding Overconfident Predictions via Hermite Polynomial Activations
* Generating Anchor Boxes Based on Attention Mechanism for Object Detection in Remote Sensing Images
* Generating and Exploiting Probabilistic Monocular Depth Estimates
* Generating Socially Acceptable Perturbations for Efficient Evaluation of Autonomous Vehicles
* Generating spatiotemporally consistent fractional vegetation cover at different scales using spatiotemporal fusion and multiresolution tree methods
* Generating Target Image-Label Pairs for Unsupervised Domain Adaptation
* Generating Visually Aligned Sound From Videos
* Generative adversarial classifier for handwriting characters super-resolution
* Generative attention adversarial classification network for unsupervised domain adaptation
* Generative Feature Replay For Class-Incremental Learning
* Generative Hybrid Representations for Activity Forecasting With No-Regret Learning
* Generative-Discriminative Feature Representations for Open-Set Recognition
* Generic Tracking and Probabilistic Prediction Framework and Its Application in Autonomous Driving
* generic unfolding algorithm for manifolds estimated by local linear approximations, A
* Geo-Location Algorithm for Building Targets in Oblique Remote Sensing Images Based on Deep Learning and Height Estimation
* GeoDA: A Geometric Framework for Black-Box Adversarial Attacks
* Geodetic Study of the 2006-2010 Ground Deformation in La Palma (Canary Islands): Observational Results
* Geographically and temporally weighted neural networks for satellite-based mapping of ground-level PM2.5
* Geolocation Correction for Geostationary Satellite Observations by a Phase-Only Correlation Method Using a Visible Channel
* Geological Challenges of Archaeological Prospecting: The Northern Peloponnese as a Type Location of Populated Syn-Rift Settings
* Geometric ConvNet on 3D Shape Manifold for Gait Recognition, A
* Geometric rectification of document images using adversarial gated unwarping network
* Geometric Structure Based and Regularized Depth Estimation From 360 Indoor Imagery
* Geometrically Principled Connections in Graph Neural Networks
* Geometry and Learning Co-Supported Normal Estimation for Unstructured Point Cloud
* Geometry to the Rescue: 3D Instance Reconstruction from a Cluttered Scene
* Geometry-Aware Satellite-to-Ground Image Synthesis for Urban Areas
* Geophysical and Sedimentological Investigations Integrate Remote-Sensing Data to Depict Geometry of Fluvial Sedimentary Bodies: An Example from Holocene Point-Bar Deposits of the Venetian Plain (Italy)
* GESAC: Robust graph enhanced sample consensus for point cloud registration
* Gesture Recognition Based on Deep Deformable 3D Convolutional Neural Networks
* GhostNet: More Features From Cheap Operations
* GHUM GHUML: Generative 3D Human Shape and Articulated Pose Models
* GIFnets: Differentiable GIF Encoding Framework
* GIS-Based Machine Learning Algorithms for Gully Erosion Susceptibility Mapping in a Semi-Arid Region of Iran
* Glaucoma Precognition: Recognizing Preclinical Visual Functional Signs of Glaucoma
* Global Assessments of the HY-2B Measurements and Cross-Calibrations with Jason-3
* Global Geometry of Centralized and Distributed Low-rank Matrix Recovery Without Regularization, The
* Global Optimality for Point Set Registration Using Semidefinite Programming
* Global Texture Enhancement for Fake Face Detection in the Wild
* Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds
* Global-Local GCN: Large-Scale Label Noise Cleansing for Face Recognition
* Globally Optimal Contrast Maximisation for Event-Based Motion Estimation
* GLU-Net: Global-Local Universal Network for Dense Flow and Correspondences
* GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking With 2D-3D Multi-Feature Learning
* GNSS-Based Machine Learning Storm Nowcasting
* Going Beyond Real Data: A Robust Visual Representation for Vehicle Re-identification
* Going Deeper With Lean Point Networks
* Gold Seeker: Information Gain From Policy Distributions for Goal-Oriented Vision-and-Langauge Reasoning
* Google Landmarks Dataset v2: A Large-Scale Benchmark for Instance-Level Recognition and Retrieval
* GP-NAS: Gaussian Process Based Neural Architecture Search
* GPS-Net: Graph Property Sensing Network for Scene Graph Generation
* GradNet Image Denoising
* Gradually Vanishing Bridge for Adversarial Domain Adaptation
* Graduated Filter Method for Large Scale Robust Estimation, A
* Graph Embedded Pose Clustering for Anomaly Detection
* Graph Structured Network for Image-Text Matching
* Graph-Based Blind Hyperspectral Unmixing via Nonnegative Matrix Factorization
* Graph-based parallel large scale structure from motion
* Graph-Guided Architecture Search for Real-Time Semantic Segmentation
* Graph-Search and Differential Equations for Time-Optimal Vessel Route Planning in Dynamic Ocean Waves
* Graph-Structured Referring Expression Reasoning in the Wild
* Graphic Simplification and Intelligent Adjustment Methods of Road Networks for Navigation with Reduced Precision
* GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-Wise Transformations
* GrappaNet: Combining Parallel Imaging With Deep Learning for Multi-Coil MRI Reconstruction
* GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping
* GreedyNAS: Towards Fast One-Shot NAS With Greedy Supernet
* Greening and Browning Trends across Peru's Diverse Environments
* Grid-GCN for Fast and Scalable Point Cloud Learning
* Gromov-Wasserstein Averaging in a Riemannian Framework
* Ground-Based Radar Interferometry for Monitoring the Dynamic Performance of a Multitrack Steel Truss High-Speed Railway Bridge
* Group Activity Detection from Trajectory and Video Data in Soccer
* Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression
* GroupFace: Learning Latent Groups and Constructing Group-Based Representations for Face Recognition
* Guest Editorial Introduction to Special Section on Modern Reversible Data Hiding and Watermarking
* Guest Editorial Special Issue: The 21st IEEE International Conference on Intelligent Transportation Systems (ITSC 2018)
* Guest Editorial: Special Issue on Imaging-Based Diagnosis of COVID-19
* Guide to Match: Multi-Layer Feature Matching With a Hybrid Gaussian Mixture Model
* Guided Frequency Separation Network for Real-World SuperResolution
* Guided Variational Autoencoder for Disentanglement Learning
* Gum-Net: Unsupervised Geometric Matching for Fast and Accurate 3D Subtomogram Image Alignment and Averaging
* Hadamard Matrix Guided Online Hashing
* HAMBox: Delving Into Mining High-Quality Anchors on Face Detection
* Hamming Embedding Sensitivity Guided Fusion Network for 3D Shape Representation
* Handling incomplete heterogeneous data using VAEs
* HandVoxNet: Deep Voxel-Based Network for 3D Hand Shape and Pose Estimation From a Single Depth Map
* Hardware Efficient Architecture for 2D DCT and IDCT Using Taylor-Series Expansion of Trigonometric Functions
* Hardware Prototype Targeting Distributed Deep Learning for On-device Inference, A
* Hardware-Centric AutoML for Mixed-Precision Quantization
* Hardware-in-the-Loop End-to-End Optimization of Camera Image Processing Pipelines
* Harmonizing Transferability and Discriminability for Adapting Object Detectors
* Haze Removal: Push DCP at the Edge
* HCNAF: Hyper-Conditioned Neural Autoregressive Flow and its Application for Probabilistic Occupancy Map Forecasting
* HCNN-PSI: A hybrid CNN with partial semantic information for space target recognition
* HeartTrack: Convolutional neural network for remote video-based heart rate monitoring
* Height and Uprightness Invariance for 3D Prediction From a Single View
* HetConv: Beyond Homogeneous Convolution Kernels for Deep CNNs
* Heterogeneous Knowledge Distillation Using Information Flow Modeling
* Heuristic algorithms for diversity-aware balanced multi-way number partitioning
* Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification
* HIDeGan: A Hyperspectral-guided Image Dehazing GAN
* Hierarchical Clustering With Hard-Batch Triplet Loss for Person Re-Identification
* Hierarchical Color Learning in Convolutional Neural Networks
* Hierarchical Conditional Relation Networks for Video Question Answering
* Hierarchical dense recursive network for image super-resolution
* Hierarchical Feature Embedding for Attribute Recognition
* Hierarchical Gaussian Descriptors with Application to Person Re-Identification
* Hierarchical Graph Attention Network for Visual Relationship Detection
* Hierarchical Graph Network for 3D Object Detection on Point Clouds, A
* Hierarchical Human Parsing With Typed Part-Relation Reasoning
* Hierarchical Image Classification using Entailment Cone Embeddings
* Hierarchical Machine Learning Approach for Multi-Level and Multi-Resolution 3D Point Cloud Classification, A
* Hierarchical Neural Architecture Search for Single Image Super-Resolution
* Hierarchical Pyramid Diverse Attention Networks for Face Recognition
* Hierarchical Regression Network for Spectral Reconstruction from RGB Images
* Hierarchical Scene Coordinate Classification and Regression for Visual Localization
* Hierarchical Sparse Subspace Clustering (HESSC): An Automatic Approach for Hyperspectral Image Analysis
* Hierarchical U-Shape Attention Network for Salient Object Detection
* Hierarchically Robust Representation Learning
* High Capacity Reversible Data Hiding Based on Multiple Histograms Modification
* High Resolution Radar Dataset for Semi-Supervised Learning of Dynamic Objects
* High-Capacity Reversible Data Hiding in Encrypted Images Employing Local Difference Predictor, A
* High-Dimensional Convolutional Networks for Geometric Pattern Recognition
* High-Frequency Component Helps Explain the Generalization of Convolutional Neural Networks
* High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification
* High-Performance Long-Term Tracking With Meta-Updater
* High-quality retinal vessel segmentation using generative adversarial network with a large receptive field
* High-Rankness Regularized Semi-Supervised Deep Metric Learning for Remote Sensing Imagery
* High-Resolution Daytime Translation Without Domain Labels
* High-Resolution Dual-Stage Multi-Level Feature Aggregation for Single Image and Video Deblurring
* High-speed multi-person pose estimation with deep feature transfer
* HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation
* Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection
* Holistic assessment of driver assistance systems: how can systems be assessed with respect to how they impact glance behaviour and collision avoidance?
* Holistically-Attracted Wireframe Parsing
* Homogeneous Linear Inequality Constraints for Neural Network Activations
* Homogenization of Geostationary Infrared Imager Channels for Cold Cloud Studies Using Megha-Tropiques/ScaRaB
* HOnnotate: A Method for 3D Annotation of Hand and Object Poses
* HOPE-Net: A Graph-Based Model for Hand-Object Pose Estimation
* How distance metrics influence missing data imputation with k-nearest neighbours
* How Does Noise Help Robustness? Explanation and Exploration under the Neural SDE Framework
* How Important Is Each Dermoscopy Image?
* How Much Time Do You Have? Modeling Multi-Duration Saliency
* How Smartphone Accelerometers Reveal Aggressive Driving Behavior?: The Key is the Representation
* How to Train Your Deep Multi-Object Tracker
* How Useful Is Self-Supervised Pretraining for Visual Tasks?
* HRank: Filter Pruning Using High-Rank Feature Map
* Human behaviour modelling for welfare technology using hidden Markov models
* Human Detection Aided by Deeply Learned Semantic Masks
* Human-human interaction recognition based on ultra-wideband radar
* Human-Like Trajectory Planning on Curved Road: Learning From Human Drivers
* HUMBI: A Large Multiview Dataset of Human Body Expressions
* HVNet: Hybrid Voxel Network for LiDAR Based 3D Object Detection
* Hybrid Approach to Reassemble Ancient Decorated Block Fragments through a 3D Puzzling Engine, A
* Hybrid deep learning and machine learning approach for passive image forensic
* Hybrid Image Codec with Learned Residual Coding, A
* HybridPose: 6D Object Pose Estimation Under Hybrid Representations
* Hyperbolic Image Embeddings
* Hyperbolic Visual Embedding Learning for Zero-Shot Recognition
* Hypergraph Attention Networks for Multimodal Learning
* Hypergraph learning with collaborative representation for image search reranking
* Hyperkernel-based intuitionistic fuzzy c-means for denoising color archival document images
* HyperLi-Net: A hyper-light deep learning network for high-accurate and high-speed ship detection from synthetic aperture radar imagery
* Hyperspectral image classification using three-dimensional geometric moments
* Hyperspectral image restoration via CNN denoiser prior regularized low-rank tensor recovery
* Hyperspectral Unmixing Using Orthogonal Sparse Prior-Based Autoencoder With Hyper-Laplacian Loss and Data-Driven Outlier Detection
* HyperSTAR: Task-Aware Hyperparameters for Deep Networks
* IDA-3D: Instance-Depth-Aware 3D Object Detection From Stereo Vision for Autonomous Driving
* Identification of Urban Functional Areas by Coupling Satellite Images and Taxi GPS Trajectories
* Identifying Precipitation and Reference Evapotranspiration Trends in West Africa to Support Drought Insurance
* Identity Enhanced Residual Image Denoising
* Identity Preserve Transform: Understand What Activity Classification Models Have Learnt
* ILFO: Adversarial Attack on Adaptive Neural Networks
* Illegible Text to Readable Text: An Image-to-Image Transformation using Conditional Sliced Wasserstein Adversarial Networks
* Illumination-based Transformations Improve Skin Lesion Segmentation in Dermoscopic Images
* Image annotation: the effects of content, lexicon and annotation method
* Image Based Virtual Try-On Network From Unpaired Data
* Image Compression Framework with Learning-based Filter, An
* Image Compression with Encoder-Decoder Matched Semantic Segmentation
* Image copy-move forgery detection algorithm based on ORB and novel similarity metric
* Image Demoireing with Learnable Bandpass Filters
* Image fusion via sparse regularization with non-convex penalties
* Image multi-encryption architecture based on hybrid keystream sequence interspersed with Haar discrete wavelet transform
* Image Processing Using Multi-Code GAN Prior
* Image Restoration via Simultaneous Nonlocal Self-Similarity Priors
* Image Search With Text Feedback by Visiolinguistic Attention Learning
* Image segmentation using dense and sparse hierarchies of superpixels
* Image Super-Resolution With Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining
* Image2Audio: Facilitating Semi-supervised Audio Emotion Recognition with Facial Expression Image
* Image2StyleGAN++: How to Edit the Embedded Images?
* ImagePairs: Realistic Super Resolution Dataset via Beam Splitter Camera Rig
* Imbalance-XGBoost: leveraging weighted and focal losses for binary label-imbalanced classification with XGBoost
* Imitative Non-Autoregressive Modeling for Trajectory Forecasting and Imputation
* Impacts of Drought on Vegetation Assessed by Vegetation Indices and Meteorological Factors in Afghanistan
* Impairing Land Registry: Social, Demographic, and Economic Determinants of Forest Classification Errors
* Imparting Fairness to Pre-Trained Biased Representations
* Implicit Euler ODE Networks for Single-Image Dehazing
* Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion
* Improve Image Codec's Performance By Variating Post Enhancing Neural Network: Submission of zxw for CLIC2020
* Improved Active Speaker Detection based on Optical Flow
* Improved Adaptive Path Following Control System for Autonomous Vehicle in Different Velocities
* Improved chicken swarm optimization to classify dementia MRI images using a novel controlled randomness optimization algorithm
* Improved Classification of Urban Trees Using a Widespread Multi-Temporal Aerial Image Dataset
* Improved Conversion Relationship between Tropical Cyclone Intensity Index and Maximum Wind Speed for the Advanced Dvorak Technique in the Northwestern Pacific Ocean Using SMAP Data, An
* improved correlation filter tracking method with occlusion and drift handling, An
* improved correlation filter tracking method with occlusion and drift handling, An
* Improved Estimation of Regional Surface Mass Variations from GRACE Intersatellite Geopotential Differences Using a Priori Constraints
* Improved Faster RCNN Based on Feature Amplification and Oversampling Data Augmentation for Oriented Vehicle Detection in Aerial Images
* Improved Few-Shot Visual Classification
* Improved GNSS-R Ocean Surface Altimetry With CYGNSS in the Seas of Indonesia
* Improved Kernel Recursive Least Squares Algorithm Based Online Prediction for Nonstationary Time Series
* Improved land cover map of Iran using Sentinel imagery within Google Earth Engine and a novel automatic workflow for land cover classification using migrated training samples
* Improved Noise and Attack Robustness for Semantic Segmentation by Using Multi-Task Training with Self-Supervised Depth Estimation
* Improved Soccer Action Spotting using both Audio and Video Streams
* Improving Action Segmentation via Graph-Based Temporal Reasoning
* Improving Confidence Estimates for Unfamiliar Examples
* Improving Convolutional Networks With Self-Calibrated Convolutions
* Improving In-field Cassava Whitefly Pest Surveillance with Machine Learning
* Improving One-Shot NAS by Suppressing the Posterior Fading
* Improving the affordability of robustness training for DNNs
* Improving the Robustness of Capsule Networks to Image Affine Transformations
* IMRAM: Iterative Matching With Recurrent Attention Memory for Cross-Modal Image-Text Retrieval
* ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes
* In Defense of Grid Features for Visual Question Answering
* In Defense of the Triplet Loss Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label Distillation
* In Perfect Shape: Certifiably Optimal 3D Shape Reconstruction From 2D Landmarks
* In Search of Life: Learning from Synthetic Data to Detect Vital Signs in Videos
* Increasing Historical Tropical Cyclone-Induced Extreme Wave Heights in the Northern East China Sea during 1979 to 2018
* Increasing Summer Rainfall and Asymmetrical Diurnal and Seasonal Warming Enhanced Vegetation Greenness in Temperate Deciduous Forests and Grasslands of Northern China
* Incremental Few-Shot Object Detection
* Incremental Learning in Online Scenario
* Independent Embedding Domain Based Two-Stage Robust Reversible Watermarking
* Index for the Consistent Measurement of Spatial Heterogeneity for Large-Scale Land Cover Datasets
* Indirect Validation of Ocean Remote Sensing Data via Numerical Model: An Example of Wave Heights from Altimeter
* Individual Tree Crown Delineation from UAS Imagery Based on Region Growing and Growth Space Considerations
* Individual Tree Detection from UAV Imagery Using Hölder Exponent
* Individual Tree-Crown Detection and Species Classification in Very High-Resolution Remote Sensing Imagery Using a Deep Learning Ensemble Model
* Inducing Hierarchical Compositional Model by Sparsifying Generator Network
* Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images
* Inferring Attention Shift Ranks of Objects for Image Saliency
* Inferring Temporal Compositions of Actions Using Probabilistic Automata
* Infinitesimal Drift Diffeomorphometry Models for Population Shape Analysis
* Inflated Episodic Memory With Region Self-Attention for Long-Tailed Visual Recognition
* Influence of Weights of Geographical Factors on the Results of Multicriteria Analysis in Solving Spatial Analyses
* Information Content of Ice Cloud Properties from Multi-Spectral, -Angle and -Polarization Observations
* Information count and distribution matrix: A contemporary approach for content-based brain image indexing
* Information Extraction from Document Images via FCA based Template Detection and Knowledge Graph Rule Induction
* Information-Driven Direct RGB-D Odometry
* Infrared and visible image fusion via gradientlet filter
* Initial User-Centered Design of a Virtual Reality Heritage System: Applications for Digital Tourism
* InSAR Campaign Reveals Ongoing Displacement Trends at High Impact Sites of Thessaloniki and Chalkidiki, Greece
* Instance Credibility Inference for Few-Shot Learning
* Instance Guided Proposal Network for Person Search
* Instance Segmentation of Biological Images Using Harmonic Embeddings
* Instance Shadow Detection
* Instance-Aware Image Colorization
* Instance-Aware, Context-Focused, and Memory-Efficient Weakly Supervised Object Detection
* integrated approach for medical abnormality detection using deep patch convolutional neural networks, An
* Integrated Decomposition and Approximate Dynamic Programming Approach for On-Demand Ride Pooling, An
* Integrated strategy for vehicle dynamics stability considering the uncertainties of side-slip angle
* Integrated tracking and route classification for travel time estimation based on cellular network signalling data
* Integrating tools for an effective testing of connected and automated vehicles technologies
* Integration of Digital Image Correlation of Sentinel-2 Data and Continuous GNSS for Long-Term Slope Movements Monitoring in Moderately Rapid Landslides
* Intelligent Home 3D: Automatic 3D-House Design From Linguistic Descriptions Only
* intelligent IoT with cloud centric medical decision support system for chronic kidney disease prediction, An
* Intelligent Reflecting Surfaces Assisted Secure Transmission Without Eavesdropper's CSI
* Intelligent Scene Caching to Improve Accuracy for Energy-Constrained Embedded Vision
* Inter-Comparison of AIRS Temperature and Relative Humidity Profiles with AMMA and DACCIWA Radiosonde Observations over West Africa
* Inter-Region Affinity Distillation for Road Marking Segmentation
* Inter-Task Association Critic for Cross-Resolution Person Re-Identification
* Interactive Image Segmentation With First Click Attention
* Interactive Multi-Label CNN Learning With Partial Labels
* Interactive Object Segmentation With Inside-Outside Guidance
* Interactive Two-Stream Decoder for Accurate and Fast Saliency Detection
* Interactive Video Retrieval with Dialog
* Interface between Grassmann manifolds and vector spaces, An
* Interferometric Ground Cancellation for Above Ground Biomass Estimation
* Intermodal Autonomous Mobility-on-Demand
* Internal Covariate Shift Bounding Algorithm for Deep Neural Networks by Unitizing Layers' Outputs, An
* Internal Wave Dark-Band Signatures in ALOS-PALSAR Imagery Revealed by the Standard Deviation of the Co-Polarized Phase Difference
* Internal Waves at the UK Continental Shelf: Automatic Mapping Using the ENVISAT ASAR Sensor
* Interpretable and Accurate Fine-grained Recognition via Region Grouping
* Interpretable time series kernel analytics by pre-image estimation
* Interpreting Interpretations: Organizing Attribution Methods by Criteria
* Interpreting mechanisms of prediction for skin cancer diagnosis using multi-task learning
* Interpreting the Latent Space of GANs for Semantic Face Editing
* Intra Coding Strategy for Video Error Resiliency: Behavioral Analysis
* Intra- and Inter-Action Understanding via Temporal Action Parsing
* Intra-pulse modulation radar signal recognition based on Squeeze-and-Excitation networks
* IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning
* Introduction to Big Data Computing for Geospatial Applications
* Intuitive, Interactive Beard and Hair Synthesis With Generative Models
* Inverse Rendering for Complex Indoor Scenes: Shape, Spatially-Varying Lighting and SVBRDF From a Single Image
* Inversion for Salt Flank Geometry Using Transmitted P- and S-Wave Travel Times
* Investigating Detection of Floating Plastic Litter from Space Using Sentinel-2 Imagery
* Investigating Loss Functions for Extreme Super-Resolution
* Investigating the Potential Use of RADARSAT-2 and UAS imagery for Monitoring the Restoration of Peatlands
* Investigation Into the Stochasticity of Batch Whitening, An
* Investigation of Slow-Moving Artificial Slope Failure with Multi-Temporal InSAR by Combining Persistent and Distributed Scatterers: A Case Study in Northern Taiwan
* Ionospheric S4 Scintillations from GNSS Radio Occultation (RO) at Slant Path
* IPG-Net: Image Pyramid Guidance Network for Small Object Detection
* Is it Safe to Drive? An Overview of Factors, Metrics, and Datasets for Driveability Assessment in Autonomous Driving
* iTAML: An Incremental Task-Agnostic Meta-learning Approach
* iTASK - Intelligent Traffic Analysis Software Kit
* Iterative Answer Prediction With Pointer-Augmented Multimodal Transformers for TextVQA
* Iterative Context-Aware Graph Inference for Visual Dialog
* Iteratively-Refined Interactive 3D Medical Image Segmentation With Multi-Agent Reinforcement Learning
* JA-POLS: A Moving-Camera Background Model via Joint Alignment and Partially-Overlapping Local Subspaces
* JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection
* Joint 3D Instance Segmentation and Object Detection for Autonomous Driving
* Joint and individual matrix factorization hashing for large-scale cross-modal retrieval
* Joint Demosaicing and Denoising With Self Guidance
* Joint detection and tracking in videos with identification features
* Joint Filtering of Intensity Images and Neuromorphic Events for High-Resolution Noise-Robust Imaging
* Joint Graph-Based Depth Refinement and Normal Estimation
* Joint identification-verification for person re-identification: A four stream deep learning approach with improved quartet loss function
* Joint Learned and Traditional Video Compression for P Frame
* Joint Learning in the Spatio-Temporal and Frequency Domains for Skeleton-Based Action Recognition
* Joint Learning of Blind Video Denoising and Optical Flow Estimation
* Joint motion and residual information latent representation for P-frame coding
* Joint Semantic Segmentation and Boundary Detection Using Iterative Pyramid Contexts
* Joint Sparse Learning With Nonlocal and Local Image Priors for Image Error Concealment
* Joint Spatial-Temporal Optimization for Stereo 3D Object Tracking
* Joint Structured Sparsity and Least Entropy Constrained Sparse Aperture Radar Imaging and Autofocusing
* Joint Subspace Recovery and Enhanced Locality Driven Robust Flexible Discriminative Dictionary Learning
* Joint Texture and Geometry Optimization for RGB-D Reconstruction
* Joint Training of Variational Auto-Encoder and Latent Energy-Based Model
* Joint Vehicular and Static Users Multiplexing Transmission With Hierarchical Modulation for Throughput Maximization in Vehicular Networks
* JSNet: A simulation network of JPEG lossy compression and restoration for robust image watermarking against JPEG attack
* Just Go With the Flow: Self-Supervised Scene Flow Estimation
* Ka-Band Doppler Scatterometry over a Loop Current Eddy
* Kalman Filter Disciplined Phase Gradient Autofocus for Stripmap SAR
* KeypointNet: A Large-Scale 3D Keypoint Dataset Aggregated From Numerous Human Annotations
* KeyPose: Multi-View 3D Labeling and Keypoint Estimation for Transparent Objects
* KFNet: Learning Temporal Camera Relocalization Using Kalman Filtering
* Knowledge As Priors: Cross-Modal Knowledge Generalization for Datasets Without Superior Knowledge
* Knowledge graph based methods for record linkage
* Knowledge Transfer Dehazing Network for NonHomogeneous Dehazing
* Knowledge Within: Methods for Data-Free Model Compression, The
* L-Band Vegetation Optical Depth Estimation Using Transmitted GNSS Signals: Application to GNSS-Reflectometry and Positioning
* L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks
* L2UWE: A Framework for the Efficient Enhancement of Low-Light Underwater Images Using Local Contrast and Multi-Scale Fusion
* Label Decoupling Framework for Salient Object Detection
* Label Distribution Learning on Auxiliary Label Space Graphs for Facial Expression Recognition
* Land Cover Classification using Google Earth Engine and Random Forest Classifier: The Role of Image Composition
* Land Surface Temperature Retrieval from Passive Microwave Satellite Observations: State-of-the-Art and Future Directions
* Landscape Dynamics in an Iconic Watershed of Northwestern Mexico: Vegetation Condition Insights Using Landsat and PlanetScope Data
* Large Dataset of Historical Japanese Documents with Complex Layouts, A
* Large Scale Vehicle Re-Identification by Knowledge Transfer from Simulated Data and Temporal Attention
* Large Scale Video Representation Learning via Relational Graph Clustering
* Large-Scale Object Detection in the Wild From Imbalanced Multi-Labels
* Large-scale road safety evaluation using extreme value theory
* Latent Complete Row Space Recovery for Multi-View Subspace Clustering
* Latent Fingerprint Image Enhancement Based on Progressive Generative Adversarial Network
* LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation
* Leaf Spot Attention Network for Apple Leaf Disease Identification
* Learn to Augment: Joint Data Augmentation and Network Optimization for Text Recognition
* Learn2Perturb: An End-to-End Feature Perturbation Learning to Improve Adversarial Robustness
* Learned Image Compression With Discretized Gaussian Mixture Likelihoods and Attention Modules
* Learned Low Bit-rate Image Compression with Adversarial Mechanism
* Learned Video Compression with Feature-level Residuals
* Learning 3D Semantic Scene Graphs From 3D Indoor Reconstructions
* Learning a Dynamic Map of Visual Appearance
* Learning A Meta-Ensemble Technique For Skin Lesion Classification And Novel Class Detection
* Learning a Neural 3D Texture Space From 2D Exemplars
* Learning a Neural Solver for Multiple Object Tracking
* Learning a Reinforced Agent for Flexible Exposure Bracketing Selection
* Learning a Unified Sample Weighting Network for Object Detection
* Learning a Weakly-Supervised Video Actor-Action Segmentation Model With a Wise Selection
* Learning an Evolutionary Embedding via Massive Knowledge Distillation
* Learning and recognition for assistive computer vision
* Learning Augmentation Network via Influence Functions
* Learning Better Lossless Compression Using Lossy Compression
* Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation
* Learning Canonical Shape Space for Category-Level 6D Object Pose and Size Estimation
* Learning Combinatorial Solver for Graph Matching
* Learning Complexity-Aware Cascades for Pedestrian Detection
* Learning Deep Network for Detecting 3D Object Keypoints and 6D Poses
* Learning Deeply Aggregated Alternating Minimization for General Inverse Problems
* Learning Depth-Guided Convolutions for Monocular 3D Object Detection
* Learning Depth-Guided Convolutions for Monocular 3D Object Detection
* Learning Discriminative and Generative Shape Embeddings for Three-Dimensional Shape Retrieval
* Learning discriminative features via weights-biased softmax loss
* Learning Dynamic Relationships for 3D Human Motion Prediction
* Learning Dynamic Routing for Semantic Segmentation
* Learning Event-Based Motion Deblurring
* Learning Fast and Robust Target Models for Video Object Segmentation
* Learning Filter Pruning Criteria for Deep Convolutional Neural Networks Acceleration
* Learning for Video Compression With Hierarchical Quality and Recurrent Enhancement
* Learning Formation of Physically-Based Face Attributes
* Learning From Noisy Anchors for One-Stage Object Detection
* Learning From Synthetic Animals
* Learning From Web Data With Self-Organizing Memory Module
* Learning Furniture Compatibility with Graph Neural Networks
* Learning Fused Pixel and Feature-Based View Reconstructions for Light Fields
* Learning Generative Models of Shape Handles
* Learning Geocentric Object Pose in Oblique Monocular Images
* Learning Human-Object Interaction Detection Using Interaction Points
* Learning Identity-Invariant Motion Representations for Cross-ID Face Reenactment
* Learning in the Frequency Domain
* Learning Individual Speaking Styles for Accurate Lip to Speech Synthesis
* Learning Instance Occlusion for Panoptic Segmentation
* Learning Integral Objects With Intra-Class Discriminator for Weakly-Supervised Semantic Segmentation
* Learning Interactions and Relationships Between Movie Characters
* Learning Intuitive Physics by Explaining Surprise
* Learning Invariant Representation for Unsupervised Image Restoration
* Learning Lightweight Multi-Scale Feedback Residual Network for Single Image Super-Resolution
* Learning Longterm Representations for Person Re-Identification Using Radio Signals
* Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification
* Learning Memory-Guided Normality for Anomaly Detection
* Learning Meta Face Recognition in Unseen Domains
* Learning More Universal Representations for Transfer-Learning
* Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification
* Learning Multi-Object Tracking and Segmentation From Automatic Annotations
* Learning Multi-View Camera Relocalization With Graph Neural Networks
* Learning Multifunctional Binary Codes for Personalized Image Retrieval
* Learning Multiview 3D Point Cloud Registration
* Learning Nanoscale Motion Patterns of Vesicles in Living Cells
* Learning Oracle Attention for High-Fidelity Face Completion
* Learning Ordered Top-k Adversarial Attacks via Adversarial Distillation
* Learning Physics-Guided Face Relighting Under Directional Light
* Learning Rank-1 Diffractive Optics for Single-Shot High Dynamic Range Imaging
* Learning Representations by Predicting Bags of Visual Words
* Learning Representations for Neural Network-Based Classification Using the Information Bottleneck Principle
* Learning Saliency Propagation for Semi-Supervised Instance Segmentation
* Learning Selective Self-Mutual Attention for RGB-D Saliency Detection
* Learning Situational Driving
* Learning Sparse Neural Networks Through Mixture-Distributed Regularization
* Learning Sparse Ternary Neural Networks with Entropy-Constrained Trained Ternarization (EC2T)
* Learning Spatial Relationships between Samples of Patent Image Shapes
* Learning spatial-temporal deformable networks for unconstrained face alignment and tracking in videos
* Learning Temporal Co-Attention Models for Unsupervised Video Action Localization
* Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation
* Learning Texture Transformer Network for Image Super-Resolution
* Learning the Redundancy-Free Features for Generalized Zero-Shot Object Recognition
* Learning to Autofocus
* Learning to Cartoonize Using White-Box Cartoon Representations
* Learning to Cluster Faces via Confidence and Connectivity Estimation
* Learning to complete partial observations from unpaired prior knowledge
* Learning to Detect Important People in Unlabelled Images for Semi-Supervised Important People Detection
* Learning to Discriminate Information for Online Action Detection
* Learning to Dress 3D People in Generative Clothing
* Learning to Evaluate Perception Models Using Planner-Centric Metrics
* Learning to Forget for Meta-Learning
* Learning to Generate 3D Training Data Through Hybrid Gradient
* Learning to Have an Ear for Face Super-Resolution
* Learning to Learn Cropping Models for Different Aspect Ratio Requirements
* Learning to Learn Single Domain Generalization
* Learning to Manipulate Individual Objects in an Image
* Learning to Measure the Static Friction Coefficient in Cloth Contact
* Learning to Observe: Approximating Human Perceptual Thresholds for Detection of Suprathreshold Image Transformations
* Learning to Optimize Non-Rigid Tracking
* Learning to Optimize on SPD Manifolds
* Learning to Restore Low-Light Images via Decomposition-and-Enhancement
* Learning to See Through Obstructions
* Learning to Segment 3D Point Clouds in 2D Image Space
* Learning to Segment the Tail
* Learning to Select Base Classes for Few-Shot Classification
* Learning to Shadow Hand-Drawn Sketches
* Learning to Simulate Dynamic Environments With GameGAN
* Learning to Structure an Image With Few Colors
* Learning to Super Resolve Intensity Images From Events
* Learning to Transfer Texture From Clothing Images to 3D Humans
* Learning Unseen Concepts via Hierarchical Decomposition and Composition
* Learning Unsupervised Hierarchical Part Decomposition of 3D Objects From a Single RGB Image
* Learning User Representations for Open Vocabulary Image Hashtag Prediction
* Learning Video Object Segmentation From Unlabeled Videos
* Learning Video Stabilization Using Optical Flow
* Learning Visual Emotion Representations From Web Data
* Learning Visual Motion Segmentation Using Event Surfaces
* Learning Weighted Submanifolds With Variational Autoencoders and Riemannian Variational Autoencoders
* Learning When and Where to Zoom With Deep Reinforcement Learning
* Least squares binary quantization of neural networks
* Less is More: Sample Selection and Label Conditioning Improve Skin Lesion Segmentation
* Leveraging 2D Data to Learn Textured 3D Mesh Generation
* Leveraging combinatorial testing for safety-critical computer vision datasets
* Leveraging Photometric Consistency Over Time for Sparsely Supervised Hand-Object Reconstruction
* Leveraging Virtual and Real Person for Unsupervised Person Re-Identification
* LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud Based Deep Networks
* LiCSAR: An Automatic InSAR Tool for Measuring and Monitoring Tectonic and Volcanic Activity
* LiDAR-Based Online 3D Video Object Detection With Graph-Based Message Passing and Spatiotemporal Transformer Attention
* LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World
* LIDIA: Lightweight Learned Image Denoising with Instance Adaptation
* Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis
* Light Field Spatial Super-Resolution via Deep Combinatorial Geometry Embedding and Structural Consistency Regularization
* Light Field Super-Resolution By Jointly Exploiting Internal and External Similarities
* Light-weight Calibrator: A Separable Component for Unsupervised Domain Adaptation
* Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination
* Lighting-Invariant Point Processor for Shading, A
* LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking
* Lightweight Multi-View 3D Pose Estimation Through Camera-Disentangled Representation
* Lightweight Photometric Stereo for Facial Details Recovery
* Linear and Non-Linear Models for Remotely-Sensed Hyperspectral Image Visualization
* linear multivariate binary decision tree classifier based on K-means splitting, A
* Linear Seam Elimination of Tunnel Crack Images Based on Statistical Specific Pixels Ratio and Adaptive Fragmented Segmentation
* Listen to Look: Action Recognition by Previewing Audio
* Live Trojan Attacks on Deep Neural Networks
* Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation
* Local Context Normalization: Revisiting Local Normalization
* Local Deep Implicit Functions for 3D Shape
* Local Implicit Grid Representations for 3D Scenes
* Local Non-Rigid Structure-From-Motion From Diffeomorphic Mappings
* Local-Global Video-Text Interactions for Temporal Grounding
* Local-to-Global Approach to Multi-Modal Movie Scene Segmentation, A
* Localized Subsidence Zones in Gävle City Detected by Sentinel-1 PSI and Leveling Data
* Logistic regression projection-based feature representation for visual domain adaptation
* Long Short-Term Memory Deep-Filter in Remote Photoplethysmography
* Look-Into-Object: Self-Supervised Structure Modeling for Object Recognition
* Looking at the Right Stuff: Guided Semantic-Gaze for Autonomous Driving
* Lossy Compression with Distortion Constrained Optimization
* Low Bitrate Image Compression with Discretized Gaussian Mixture Likelihoods
* Low-bit Quantization Needs Good Distribution
* Low-Complexity Joint Transmit and Receive Beamforming for MIMO Radar With Multi-Targets
* Low-Complexity Joint User Activity, Channel and Data Estimation for Grant-Free Massive MIMO Systems, A
* low-cost UAV framework towards ornamental plant detection and counting in the wild, A
* Low-latency hand gesture recognition with a low resolution thermal imager
* Low-Level Characterization of Expressive Head Motion Through Frequency Domain Analysis
* Low-Rank Compression of Neural Nets: Learning the Rank of Each Layer
* Low-rank quaternion tensor completion for recovering color videos and images
* Low-rate Image Compression with Super-resolution Learning
* Low-Resolution Overhead Thermal Tripwire for Occupancy Estimation
* LSM: Learning Subspace Minimization for Low-Level Vision
* LSQ+: Improving low-bit quantization through learnable offsets and better initialization
* LT-Net: Label Transfer by Learning Reversible Voxel-Wise Correspondence for One-Shot Medical Image Segmentation
* LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood
* M-LVC: Multiple Frames Prediction for Learned Video Compression
* M2m: Imbalanced Classification via Major-to-Minor Translation
* M2SGD: Learning to Learn Important Weights
* MA3: Model Agnostic Adversarial Augmentation for Few Shot learning
* Machine Learning for Cloud Detection of Globally Distributed Sentinel-2 Images
* Machine Learning-Based Approach for Depression Detection in Twitter Using Content and Activity Features
* MAGSAC++, a Fast, Reliable and Accurate Robust Estimator
* Mahalanobis Based Point to Distribution Metric for Point Cloud Geometry Quality Evaluation
* Maintaining Discrimination and Fairness in Class Incremental Learning
* Making Better Mistakes: Leveraging Class Hierarchies With Deep Networks
* Malicious User Detection in Non-Orthogonal Multiple Access Based on Spectrum Analysis
* Management Zone Delineation for Site-Specific Fertilization in Rice Crop Using Multi-Temporal RapidEye Imagery
* ManiGAN: Text-Guided Image Manipulation
* Manipulation Detection in Satellite Images Using Deep Belief Networks
* MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction
* Map Generalization for the Future: Editorial Comments on the Special Issue
* Mapillary Street-Level Sequences: A Dataset for Lifelong Place Recognition
* Mapping croplands of Europe, Middle East, Russia, and Central Asia using Landsat, Random Forest, and Google Earth Engine
* Mapping Essential Urban Land Use Categories in Nanjing by Integrating Multi-Source Big Data
* Mapping of Peat Thickness Using a Multi-Receiver Electromagnetic Induction Instrument
* Mapping quality prediction for RTK/PPK-equipped micro-drones operating in complex natural environment
* Mapping the Bathymetry of Melt Ponds on Arctic Sea Ice Using Hyperspectral Imagery
* Mapping the Essential Urban Land Use in Changchun by Applying Random Forest and Multi-Source Geospatial Data
* MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction
* Mask Encoding for Single Shot Instance Segmentation
* MaskFlownet: Asymmetric Feature Matching With Learnable Occlusion Mask
* MaskGAN: Towards Diverse and Interactive Facial Image Manipulation
* Massive-Scale Genre Communities Learning Using a Noise-Tolerant Deep Architecture
* MAST: A Memory-Augmented Self-Supervised Tracker
* Match or No Match: Keypoint Filtering based on Matching Probability
* mathematical programming approach for integrated multiple linear regression subset selection and validation, A
* MATNet: Motion-Attentive Transition Network for Zero-Shot Video Object Segmentation
* MCEN: Bridging Cross-Modal Gap between Cooking Recipes and Dish Images with Latent Variable Model
* McFlow: Monte Carlo Flow Models for Data Imputation
* MCMT-GAN: Multi-Task Coherent Modality Transferable GAN for 3D Brain Image Synthesis
* Measurement of Quasi-Static and Dynamic Displacements of Footbridges Using the Composite Instrument of a Smartstation and an Accelerometer: Case Studies
* Measuring Community Disaster Resilience in the Conterminous Coastal United States
* Measuring Functional Urban Shrinkage with Multi-Source Geospatial Big Data: A Case Study of the Beijing-Tianjin-Hebei Megaregion
* MEBOW: Monocular Estimation of Body Orientation in the Wild
* Medical image fusion based on laws of texture energy measures in stationary wavelet transform domain
* MemNAS: Memory-Efficient Neural Architecture Search With Grow-Trim Learning
* Memory Aggregation Networks for Efficient Interactive Video Object Segmentation
* Memory Enhanced Global-Local Aggregation for Video Object Detection
* Memory-Efficient Hierarchical Neural Architecture Search for Image Denoising
* Mesh Variational Autoencoders with Edge Contraction Pooling
* Mesh-Guided Multi-View Stereo With Pyramid Architecture
* Meshed-Memory Transformer for Image Captioning
* Meshlet Priors for 3D Mesh Reconstruction
* Meta-Analysis of the Impact of Skin Type and Gender on Non-contact Photoplethysmography Measurements, A
* Meta-DermDiagnosis: Few-Shot Skin Disease Identification using Meta-Learning
* Meta-Learning for Few-Shot Land Cover Classification
* Meta-Learning of Neural Architectures for Few-Shot Learning
* Meta-Transfer Learning for Zero-Shot Super-Resolution
* MetaFuse: A Pre-trained Fusion Model for Human Pose Estimation
* MetaIQA: Deep Meta-Learning for No-Reference Image Quality Assessment
* METAL: Minimum Effort Temporal Activity Localization in Untrimmed Videos
* Meter classification of Arabic poems using deep bidirectional recurrent neural networks
* method for detecting text of arbitrary shapes in natural scenes that improves text spotting, A
* Method for the Estimation of Finely-Grained Temporal Spatial Human Population Density Distributions Based on Cell Phone Call Detail Records, A
* Method to Detect and Track Moving Airplanes from a Satellite Video, A
* Methods of Rapid Quality Assessment for National-Scale Land Surface Change Monitoring
* Metric Learning with A-based Scalar Product for Image-set Recognition
* MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation
* Mimic The Raw Domain: Accelerating Action Recognition in the Compressed Domain
* MINA: Convex Mixed-Integer Programming for Non-Rigid Shape Alignment
* Mind the Gap - A Benchmark for Dense Depth Prediction Beyond Lidar
* MineGAN: Effective Knowledge Transfer From GANs to Target Domains With Few Images
* Minimal Solutions for Relative Pose With a Single Affine Correspondence
* Minimal Solutions to Relative Pose Estimation From Two Views Sharing a Common Direction With Unknown Focal Length
* Minimal Solvers for 3D Scan Alignment With Pairs of Intersecting Lines
* Minimizing Discrete Total Curvature for Image Processing
* Minimizing Supervision in Multi-label Categorization
* minimum barrier distance for multivariate images with applications, A
* Mining Spatial-Temporal Similarity for Visual Tracking
* MISC: Multi-Condition Injection and Spatially-Adaptive Compositing for Conditional Person Image Synthesis
* Misperceptions of Predominant Slum Locations? Spatial Analysis of Slum Locations in Terms of Topography Based on Earth Observation Data
* Mitigating Bias in Face Recognition Using Skewness-Aware Reinforcement Learning
* Mitigation of Through-Wall Distortions of Frontal Radar Images Using Denoising Autoencoders
* Mixture Dense Regression for Object Detection and Human Pose Estimation
* MLCVNet: Multi-Level Context VoteNet for 3D Object Detection
* MMDM: Multi-frame and Multi-scale for Image Demoiréing
* MMTM: Multimodal Transfer Module for CNN Fusion
* MnasFPN: Learning Latency-Aware Pyramid Architecture for Object Detection on Mobile Devices
* Mnemonics Training: Multi-Class Incremental Learning Without Forgetting
* Modality adversarial neural network for visible-thermal person re-identification
* Modality Shifting Attention Network for Multi-Modal Video Question Answering
* Model Adaptation: Unsupervised Domain Adaptation Without Source Data
* Model-Assisted Bird Monitoring Based on Remotely Sensed Ecosystem Functioning and Atlas Data
* Model-Based Estimation of Forest Inventory Attributes Using Lidar: A Comparison of the Area-Based and Semi-Individual Tree Crown Approaches
* Model-based Persian calligraphy synthesis via learning to transfer templates to personal styles
* Model-Driven Deep Neural Network for Single Image Rain Removal, A
* Modeling Biological Immunity to Adversarial Examples
* Modeling strawberry biomass and leaf area using object-based analysis of high-resolution images
* Modeling the Background for Incremental Learning in Semantic Segmentation
* Modeling the Effect of Green Roof Systems and Photovoltaic Panels for Building Energy Savings to Mitigate Climate Change
* Modelling and simulation of a new urban freight distribution system based on automatic van platooning and fixed split up locations
* MODIS and VIIRS Calibration History and Future Outlook
* Moiré Pattern Removal via Attentive Fractal Network
* Momentum Contrast for Unsupervised Visual Representation Learning
* Monitoring and Assessment of the Oasis Ecological Resilience Improved by Rational Water Dispatching Using Multiple Remote Sensing Data: A Case Study of the Heihe River Basin, Silk Road
* Monitoring Approach for Tropical Coniferous Forest Degradation Using Remote Sensing and Field Data
* Monitoring Forest Infestation and Fire Disturbance in the Southern Appalachian Using a Time Series Analysis of Landsat Imagery
* Monitoring Pasture Aboveground Biomass and Canopy Height in an Integrated Crop-Livestock System Using Textural Information from PlanetScope Imagery
* Monitoring the Influence of the Mesoscale Ocean Dynamics on Phytoplanktonic Plumes around the Marquesas Islands Using Multi-Satellite Missions
* Monitoring Water Level Change and Seasonal Vegetation Change in the Coastal Wetlands of Louisiana Using L-Band Time-Series
* Monocular Depth Estimation With Augmented Ordinal Depth Relationships
* Monocular depth estimation with SPN loss
* Monocular Real-Time Hand Shape and Motion Capture Using Multi-Modal Data
* MonoPair: Monocular 3D Object Detection Using Pairwise Spatial Relationships
* Monte Carlo Gradient Quantization
* Monte-Carlo Siamese Policy on Actor for Satellite Image Super Resolution
* More Grounded Image Captioning by Distilling Image-Text Matching Model
* MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion
* Morphable Face Albedo Model, A
* Mosaic Super-resolution via Sequential Feature Pyramid Networks
* Mosaicking Landsat and Sentinel-2 Data to Enhance LandTrendr Time Series Analysis in Northern High Latitude Permafrost Regions
* Motion density-based unequal error protection technique for video bitstream compressed by HEVC standard
* Motion Primitives Representation, Extraction and Connection for Automated Vehicle Motion Planning Applications
* MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps
* Moving Cast Shadows Segmentation Using Illumination Invariant Feature
* Moving in the Right Direction: A Regularization for Deep Metric Learning
* MPM: Joint Representation of Motion and Position Map for Cell Tracking
* MRGAN: A generative adversarial networks model for global mosaic removal
* MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation
* MSFSR: A Multi-Stage Face Super-Resolution with Accurate Facial Representation via Enhanced Facial Boundaries
* MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks
* MTA Dataset for Multi Target Multi Camera Pedestrian Tracking by Weighted Distance Aggregation, The
* MTL-NAS: Task-Agnostic Neural Architecture Search Towards General-Purpose Multi-Task Learning
* Multi-agent detection and labelling of activity patterns
* Multi-Camera Trajectory Forecasting: Pedestrian Trajectory Prediction in a Network of Cameras
* Multi-Dimensional Pruning: A Unified Framework for Model Compression
* Multi-Domain Learning and Identity Mining for Vehicle Re-Identification
* Multi-Domain Learning for Accurate and Few-Shot Color Constancy
* Multi-frame image super resolution using spatially weighted total variation regularisations
* Multi-Granularity Reference-Aided Attentive Feature Aggregation for Video-Based Person Re-Identification
* Multi-Granularity Tracking with Modularlized Components for Unsupervised Vehicles Anomaly Detection
* Multi-head enhanced self-attention network for novelty detection
* Multi-Hypothesis Approach to Color Constancy, A
* Multi-Image Super-Resolution for Remote Sensing using Deep Recurrent Networks
* Multi-Label classification of multi-modality skin lesion via hyper-connected convolutional neural network
* Multi-level colored directional motif histograms for content-based image retrieval
* Multi-level monitoring of three-dimensional building changes for megacities: Trajectory, morphology, and landscape
* Multi-Level Supervision Model: A novel approach for Thermal Image Super Resolution, A
* Multi-modal Dense Video Captioning
* Multi-Modal Domain Adaptation for Fine-Grained Action Recognition
* Multi-Modal Face Anti-Spoofing Based on Central Difference Networks
* Multi-Modal Graph Neural Network for Joint Reasoning on Vision and Scene Text
* Multi-Modality Cross Attention Network for Image and Sentence Matching
* Multi-Mutual Consistency Induced Transfer Subspace Learning for Human Motion Segmentation
* Multi-object Graph-based Segmentation with Non-overlapping Surfaces
* Multi-Path Learning for Object Pose Estimation Across Domains
* Multi-Path Region Mining for Weakly Supervised 3D Semantic Segmentation on Point Clouds
* Multi-Scale and Multi-Scope Convolutional Neural Networks for Destination Prediction of Trajectories
* Multi-Scale Boosted Dehazing Network With Dense Feature Fusion
* Multi-scale deep feature learning network with bilateral filtering for SAR image classification
* Multi-scale Domain-adversarial Multiple-instance CNN for Cancer Subtype Classification with Unannotated Histopathological Images
* Multi-Scale Fusion Subspace Clustering Using Similarity Constraint
* Multi-scale Grouped Dense Network for VVC Intra Coding
* Multi-Scale Interactive Network for Salient Object Detection
* Multi-Scale Model based on the Long Short-Term Memory for day ahead hourly wind speed forecasting, A
* Multi-Scale Progressive Fusion Network for Single Image Deraining
* Multi-Sensor Approach to Improve Bathymetric Lidar Mapping of Semi-Arid Groundwater-Dependent Streams: Devils River, Texas
* Multi-Sensor Unoccupied Aerial System Improves Characterization of Vegetation Composition and Canopy Properties in the Arctic Tundra, A
* Multi-Source Causal Feature Selection
* Multi-source domain adaptation for image classification
* Multi-Step Reinforcement Learning for Single Image Super-Resolution
* Multi-Stream CNN for Spatial Resource Allocation: a Crop Management Application
* Multi-Task Collaborative Network for Joint Referring Expression Comprehension and Segmentation
* Multi-task Compositional Network for Visual Relationship Detection
* Multi-task learning for natural language processing in the 2020s: Where are we going?
* Multi-Task Mean Teacher for Semi-Supervised Shadow Detection, A
* Multi-Task WaveRNN With an Integrated Architecture for Cross-Lingual Voice Conversion
* Multi-Temporal Ultra Dense Memory Network for Video Super-Resolution
* Multi-View Neural Human Rendering
* Multi-view Self-Constructing Graph Convolutional Networks with Adaptive Class Weighting Loss for Semantic Segmentation
* Multi-view subspace learning via bidirectional sparsity
* Multigrid Method for Efficiently Training Video Models, A
* Multilabel Naïve Bayes classification considering label dependence
* Multimodal and multiview distillation for real-time player detection on a football field
* Multimodal Categorization of Crisis Events in Social Media
* Multimodal Deep Unfolding for Guided Image Super-Resolution
* Multimodal Future Localization and Emergence Prediction for Objects in Egocentric View With a Reachability Prior
* Multimodal Predictive Agent Model for Human Interaction Generation, A
* Multiple Anchor Learning for Visual Object Detection
* Multiple Features and Isolation Forest-Based Fast Anomaly Detector for Hyperspectral Imagery
* Multiple Histograms-Based Reversible Data Hiding: Framework and Realization
* Multiple Robustness Enhancements for Image Adaptive Steganography in Lossy Channels
* Multiple strong and balanced cluster-based ensemble of deep learners
* Multiple Transfer Learning and Multi-label Balanced Training Strategies for Facial AU Detection In the Wild
* Multisatellite-Based Feeding Habitat Suitability Modeling of Albacore Tuna in the Southern Atlantic Ocean
* Multiscale Supervised Kernel Dictionary Learning for SAR Target Recognition
* Multistatic Geosynchronous SAR Resolution Analysis and Grating Lobe Suppression Based on Array Spatial Ambiguity Function
* Multistation coordinated and dynamic passenger inflow control for a metro line
* Multivariate Confidence Calibration for Object Detection
* Multiview-Consistent Semi-Supervised Learning for 3D Human Pose Estimation
* MuLTReNets: Multilingual text recognition networks for simultaneous script identification and handwriting recognition
* Music Gesture for Visual Sound Separation
* MUTE: Inter-class Ambiguity Driven Multi-hot Target Encoding for Deep Neural Network Design
* Mutual information based feature subset selection in multivariate time series classification
* MUXConv: Information Multiplexing in Convolutional Neural Networks
* NAS-FCOS: Fast Neural Architecture Search for Object Detection
* Nested Scale-Editing for Conditional Image Synthesis
* NestedVAE: Isolating Common Factors via Weak Supervision
* NETNet: Neighbor Erasing and Transferring Network for Better Single Shot Object Detection
* Network Adjustment: Channel Search Guided by FLOPs Utilization Ratio
* Neural Architecture Search for Lightweight Non-Local Networks
* Neural Blind Deconvolution Using Deep Priors
* Neural Cages for Detail-Preserving 3D Deformations
* Neural Contours: Learning to Draw Lines From 3D Shapes
* Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data
* Neural Head Reenactment with Latent Pose Descriptors
* Neural Implicit Embedding for Point Cloud Analysis
* neural model for text localization, transcription and named entity recognition in full pages, A
* Neural Network Compression Using Higher-Order Statistics and Auxiliary Reconstruction Losses
* Neural Network Pruning With Residual-Connections and Limited-Data
* Neural Network Training for the Detection and Classification of Oceanic Mesoscale Eddies
* Neural network with multiple connection weights
* Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation From a Blackbox Model
* Neural Point Cloud Rendering via Multi-Plane Projection
* Neural Pose Transfer by Spatially Adaptive Instance Normalization
* Neural Rendering Framework for Free-Viewpoint Relighting, A
* Neural Topological SLAM for Visual Navigation
* Neural Voxel Renderer: Learning an Accurate and Controllable Rendering Tool
* NeuralScale: Efficient Scaling of Neurons for Resource-Constrained Deep Neural Networks
* Neurodata Lab's approach to the Challenge on Computer Vision for Physiological Measurement
* Neuromorphic Camera Guided High Dynamic Range Imaging
* new approach for classification skin lesion based on transfer learning, deep learning, and IoT system, A
* New Approach for Understanding Urban Microclimate by Integrating Complementary Predictors at Different Scales in Regression and Machine Learning Models, A
* new driver's ED: Game developers teach Cruise's autonomous vehicles to understand gestures made by people on the street, The
* New Fast Factorized Back-Projection Algorithm with Reduced Topography Sensibility for Missile-Borne SAR Focusing with Diving Movement, A
* New Microscopic Traffic Model Using a Spring-Mass-Damper-Clutch System, A
* new multimodal RGB and polarimetric image dataset for road scenes analysis, A
* new TLD target tracking method based on improved correlation filter and adaptive scale, A
* new unified method for detecting text from marathon runners and sports players in video (PR-D-19-01078R2), A
* New Volcanic Seismic Signal Descriptor and its Application to a Data Set From the Cotopaxi Volcano, A
* New Weighting Method by Considering the Physical Characteristics of Atmospheric Turbulence and Decorrelation Noise in SBAS-InSAR, A
* NH-HAZE: An Image Dehazing Benchmark with Non-Homogeneous Hazy and Haze-Free Images
* NMS by Representative Region: Towards Crowded Pedestrian Detection by Proposal Pairing
* Noise is Inside Me! Generating Adversarial Perturbations with Noise Derived from Natural Filters
* Noise Modeling, Synthesis and Classification for Generic Object Anti-Spoofing
* Noise Robust Generative Adversarial Networks
* Noise-Aware Fully Webly Supervised Object Detection
* Noise-based Selection of Robust Inherited Model for Accurate Continual Learning
* Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions From CT Images, A
* Noisier2Noise: Learning to Denoise From Unpaired Noisy Data
* Non-Adversarial Video Synthesis with Learned Priors
* Non-invasive Vision Based Approach to Velocity Measurement of Skeleton Training, A
* Non-Line-of-Sight Surface Reconstruction Using the Directional Light-Cone Transform
* Non-Local Neural Networks With Grouped Bilinear Attentional Transforms
* Non-Tidal Mass Variations in the IGS Second Reprocessing Campaign: Interpretations and Noise Analysis from GRACE and Geophysical Models
* Nonlinear dimensionality reduction for clustering
* NonLocal Channel Attention for NonHomogeneous Image Dehazing
* Nonparametric Object and Parts Modeling With Lie Group Dynamics
* Norm-Aware Embedding for Efficient Person Search
* Normal Assisted Stereo Depth Estimation
* Normalized and Geometry-Aware Self-Attention Network for Image Captioning
* Normalizing Flows With Multi-Scale Autoregressive Priors
* Note on Brewster Effect for Lossy Inhomogeneous Rough Surfaces, A
* Novel Algorithm to Estimate Phytoplankton Carbon Concentration in Inland Lakes Using Sentinel-3 OLCI Images, A
* novel approach for deep pedestrian detection based on changes in camera viewing angle, A
* Novel Cardiac Arrhythmia Processing using Machine Learning Techniques
* Novel Classification Extension-Based Cloud Detection Method for Medium-Resolution Optical Images, A
* Novel Convolutional Neural Network-Based Roadside Unit for Accurate Pedestrian Localisation
* novel deep learning instance segmentation model for automated marine oil spill detection, A
* novel deep network and aggregation model for saliency detection, A
* Novel DWT/IDWT Architecture for 3D with Nine Stage 2D Parallel Processing using Split Distributed Arithmetic
* Novel Dynamic Model Capturing Spatial and Temporal Patterns for Facial Expression Analysis, A
* novel hybrid approach for crack detection, A
* Novel Local Geometry Capture in Pointnet++ for 3D Classification, A
* Novel Method for the Deblurring of Photogrammetric Images Using Conditional Generative Adversarial Networks, A
* Novel Moving Target Detection Method Based on RPCA for SAR Systems, A
* Novel Object Viewpoint Estimation Through Reconstruction Alignment
* Novel Pole Photogrammetric System for Low-Cost Documentation of Archaeological Sites: The Case Study of Cueva Pintada
* Novel Recurrent Encoder-Decoder Structure for Large-Scale Multi-View Stereo Reconstruction From an Open Aerial Dataset, A
* novel region-based multimodal image fusion technique using improved dictionary learning, A
* novel scheme for image sharpness using inflection points, A
* novel strategy to balance the results of cross-modal hashing, A
* Novel Technique Combining Image Processing, Plant Development Properties, and the Hungarian Algorithm, to Improve Leaf Detection in Maize, A
* Novel View Synthesis of Dynamic Scenes With Globally Coherent Depths From a Monocular Camera
* Now that I can see, I can improve: Enabling data-driven finetuning of CNNs on the edge
* NOx Emission Flux Measurements with Multiple Mobile-DOAS Instruments in Beijing
* NTIRE 2020 Challenge on Image and Video Deblurring
* NTIRE 2020 Challenge on Image Demoireing: Methods and Results
* NTIRE 2020 Challenge on NonHomogeneous Dehazing
* NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results
* NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results
* NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results
* NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image
* NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results
* nuScenes: A Multimodal Dataset for Autonomous Driving
* OASIS: A Large-Scale Dataset for Single Image 3D in the Wild
* Object Relational Graph With Teacher-Recommended Learning for Video Captioning
* Object Tracking in Unmanned Aerial Vehicle Videos via Multifeature Discrimination and Instance-Aware Attention Network
* Object-Based Image Analysis of Ground-Penetrating Radar Data for Archaic Hearths
* Object-Occluded Human Shape and Pose Estimation From a Single Color Image
* Object-Oriented Key Point Vector Distance for Binary Land Cover Change Detection Using VHR Remote Sensing Images
* Objectivity and Subjectivity in Aesthetic Quality Assessment of Digital Photographs
* Observations and Recommendations for Coordinated Calibration Activities of Government and Commercial Optical Satellite Systems
* Obtaining Gradients of XCO2 in Atmosphere Using the Constrained Linear Least-Squares Technique and Multi-Wavelength IPDA LiDAR
* OC-FakeDect: Classifying Deepfakes Using One-class Variational Autoencoder
* OccGAN: Semantic image augmentation for driving scenes
* OccuSeg: Occupancy-Aware 3D Instance Segmentation
* OCLU-NET for occlusal classification of 3D dental models
* OCR for Classical Indic Documents Containing Arbitrarily Long Words, An
* OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression
* Off-Grid STAP Algorithm Based On Local Mesh Splitting With Bistatic Radar System, An
* Offline Signature Verification on Real-World Documents
* Offset Bin Classification Network for Accurate Object Detection
* Old Is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm
* On Improving the Generalization of Face Recognition in the Presence of Occlusions
* On indirect assessment of heart rate in video
* On Isometry Robustness of Deep 3D Point Cloud Models Under Adversarial Attacks
* On Joint Estimation of Pose, Geometry and svBRDF From a Handheld Scanner
* On Out-of-Distribution Detection Algorithms with Deep Neural Skin Cancer Classifiers
* On Perfect Clustering of High Dimension, Low Sample Size Data
* On Positive-Unlabeled Classification in GAN
* On Privacy Preserving Anonymization of Finger-selfies
* On Recognizing Texts of Arbitrary Shapes with 2D Self-Attention
* On the Acceleration of Deep Learning Model Parallelism With Staleness
* On the convexification of the Perona-Malik diffusion model
* On the Detection of Digital Face Manipulation
* On the Distribution of Minima in Intrinsic-Metric Rotation Averaging
* On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering
* On the performance of Matthews correlation coefficient (MCC) for imbalanced dataset
* On the Radiative Transfer Model for Soil Moisture across Space, Time and Hydro-Climates
* On the Regularization Properties of Structured Dropout
* On the stability of persistent entropy and new summary functions for topological data analysis
* On the Uncertainty of Self-Supervised Monocular Depth Estimation
* On Translation Invariance in CNNs: Convolutional Layers Can Exploit Absolute Spatial Location
* On unsupervised simultaneous kernel learning and data clustering
* On Vocabulary Reliance in Scene Text Recognition
* One Man's Trash Is Another Man's Treasure: Resisting Adversarial Examples by Adversarial Examples
* One-Shot Adversarial Attacks on Visual Tracking With Dual Attention
* One-Shot Domain Adaptation for Face Generation
* One-vs-One classification for deep neural networks
* Online Deep Clustering for Unsupervised Representation Learning
* Online Depth Learning Against Forgetting in Monocular Videos
* Online Joint Multi-Metric Adaptation From Frequent Sharing-Subset Mining for Person Re-Identification
* Online kernel classification with adjustable bandwidth using control-based learning approach
* Online Knowledge Distillation via Collaborative Learning
* Online Reweighted Least Squares Robust PCA
* Online Structured Sparsity-Based Moving-Object Detection From Satellite Videos
* Online variational learning of finite inverted Beta-Liouville mixture model for biomedical analysis
* Oops! Predicting Unintentional Action in Video
* Open Compound Domain Adaptation
* Open Source Riverscapes: Analyzing the Corridor of the Naryn River in Kyrgyzstan Based on Open Access Data
* Open-Source Framework of Generating Network-Based Transit Catchment Areas by Walking, An
* OpenSWAP, an Open Architecture, Low Cost Class of Autonomous Surface Vehicles for Geophysical Surveys in the Shallow Water Environment
* Operational Split-Window Algorithm for Retrieving Land Surface Temperature from Geostationary Satellite Data: A Case Study on Himawari-8 AHI Data, An
* Optical Braille Recognition Based on Semantic Segmentation Network with Auxiliary Learning Strategy
* Optical Flow Based Co-Located Reference Frame for Video Compression
* Optical Flow in Dense Foggy Scenes Using Semi-Supervised Learning
* Optical Flow in the Dark
* Optical Non-Line-of-Sight Physics-Based 3D Human Pose Estimation
* Optical Properties Using Adaptive Selection of NIR/SWIR Reflectance Correction and Quasi-Analytic Algorithms for the MODIS-Aqua in Estuarine-Ocean Continuum: Application to the Northern Gulf of Mexico
* Optical System Design of a Wide Field-of-View Camera for the Characterization of Earth's Reflected Solar Radiation
* Optimal least-squares solution to the hand-eye calibration problem
* Optimal Reversible Data Hiding Scheme Based on Multiple Histograms Modification
* Optimisation of both classifier and fusion based feature set for static American sign language recognition
* Optimised robust watermarking technique using CKGSA in DCT-SVD domain
* Optimized contrast enhancement for tumor detection
* Optimized Filtering Method of Massive Interferometric SAR Data for Urban Areas by Online Tensor Decomposition, An
* Optimizing Rank-Based Metrics With Blackbox Differentiation
* Optimizing Relocation Cost in Free-Floating Car-Sharing Systems
* Orbital Lifetime (2008-2017) Radiometric Calibration and Evaluation of the HJ-1B IRS Thermal Infrared Band
* Orderless Recurrent Models for Multi-Label Classification
* ORDNet: Capturing Omni-Range Dependencies for Scene Parsing
* Organ at Risk Segmentation for Head and Neck Cancer Using Stratified Learning and Neural Architecture Search
* OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page Text Recognition by learning to unfold
* Orthogonal Convolutional Neural Networks
* OS-PC: Combining Feature Representation and 3-D Phase Correlation for Subpixel Optical and SAR Image Registration
* Overcoming Classifier Imbalance for Long-Tail Object Detection With Balanced Group Softmax
* Overcoming Multi-Model Forgetting in One-Shot NAS With Diversity Maximization
* P-frame Coding Proposal by NCTU: Parametric Video Prediction through Backprop-based Motion Estimation
* P-nets: Deep Polynomial Neural Networks
* P2B: Point-to-Box Network for 3D Object Tracking in Point Clouds
* P2L: Predicting Transfer Learning for Images and Semantic Relations
* PADS: Policy-Adapted Sampling for Visual Similarity Learning
* Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings
* Palm vein recognition based on competitive coding scheme using multi-scale local binary pattern with ant colony optimization
* PANDA: A Gigapixel-Level Human-Centric Video Dataset
* PandaNet: Anchor-Based Single-Shot Multi-Person 3D Pose Estimation
* Panoptic-Based Image Synthesis
* Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation
* Pansharpening: Context-Based Generalized Laplacian Pyramids by Robust Regression
* Parsing-Based View-Aware Embedding Network for Vehicle Re-Identification
* Part-Aware Context Network for Human Parsing
* Partial Weight Adaptation for Robust DNN Inference
* Particle Size Parameters of Particulate Matter Suspended in Coastal Waters and Their Use as Indicators of Typhoon Influence
* PaStaNet: Toward Human Activity Knowledge Engine
* Patch-to-Pixel Convolutional Neural Network for Small Ship Detection With PolSAR Images, A
* PatchVAE: Learning Local Latent Codes for Recognition
* Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation
* Pattern-Structure Diffusion for Multi-Task Learning
* Peak-Hour Vehicle Routing for First-Mile Transportation: Problem Formulation and Algorithms
* Pedestrian detection using multi-scale squeeze-and-excitation module
* Peek-a-Boo: Occlusion Reasoning in Indoor Scenes With Plane Representations
* Perceptual Extreme Super Resolution Network with Receptive Field Block
* Perceptual Quality Assessment of Smartphone Photography
* Performance Analysis of Cooperative V2V and V2I Communications Under Correlated Fading
* Performance Analysis of Deep Convolutional Autoencoders with Different Patch Sizes for Change Detection from Burnt Areas
* Performance evaluation of single and cross-dimensional feature detection and description
* Performance Evaluation of Spaceborne Integrated Path Differential Absorption Lidar for Carbon Dioxide Detection at 1572 nm
* Performance of GLASS and MODIS Satellite Albedo Products in Diagnosing Albedo Variations during Different Time Scales and Special Weather Conditions in the Tibetan Plateau
* Performance of the Landsat 8 Provisional Aquatic Reflectance Product for Inland Waters
* Performances of Vegetation Indices on Paddy Rice at Elevated Air Temperature, Heat Stress, and Herbicide Damage
* Persistent Homology-based Projection Pursuit
* Perspective Plane Program Induction From a Single Image
* PF-Net: Point Fractal Network for 3D Point Cloud Completion
* PFCNN: Convolutional Neural Networks on 3D Surfaces Using Parallel Frames
* PFRL: Pose-Free Reinforcement Learning for 6D Pose Estimation
* Phase congruency and ODBTC based image retrieval
* Phase Consistent Ecological Domain Adaptation
* Photometric Stereo via Discrete Hypothesis-and-Test Search
* Photoplethysmography based stratification of blood pressure using multi information fusion artificial neural network
* Photosequencing of Motion Blur using Short and Long Exposures
* PhraseCut: Language-Based Image Segmentation in the Wild
* PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving
* Physically Plausible Spectral Reconstruction from RGB Images
* Physically Realizable Adversarial Examples for LiDAR Object Detection
* Physics-based Bathymetry and Water Quality Retrieval Using PlanetScope Imagery: Impacts of 2020 COVID-19 Lockdown and 2019 Extreme Flood in the Venice Lagoon
* Physics-Based Noise Formation Model for Extreme Low-Light Raw Denoising, A
* PI-Net: A Deep Learning Approach to Extract Topological Persistence Images
* PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization
* Pilot Study to Estimate Forage Mass from Unmanned Aerial Vehicles in a Semi-Arid Rangeland, A
* Pipelined Neural Networks for Phrase-Level Sentiment Intensity Prediction
* PipeNet: Selective Modal Pipeline of Fusion Network for Multi-Modal Face Anti-Spoofing
* Pixel Consensus Voting for Panoptic Segmentation
* Pixel-Wise Classification of High-Resolution Ground-Based Urban Hyperspectral Images with Convolutional Neural Networks
* Placement optimisation for station-free bicycle-sharing under 1D distribution assumption
* PlanetScope Radiometric Normalization and Sentinel-2 Super-Resolution (2.5 m): A Straightforward Spectral-Spatial Fusion of Multi-Satellite Multi-Sensor Images Using Residual Convolutional Neural Networks
* Plant-by-Plant Method to Identify and Treat Cotton Root Rot Based on UAV Remote Sensing, A
* Plastic Surgery: An Obstacle for Deep Face Recognition?
* Play and rewind: Context-aware video temporal action proposals
* Plug-And-Pipeline: Efficient Regularization for Single-Step Adversarial Training
* Plug-and-Play Algorithms for Large-Scale Snapshot Compressive Imaging
* PnPNet: End-to-End Perception and Prediction With Tracking in the Loop
* Point attention network for semantic segmentation of 3D point clouds
* Point Cloud Completion by Skip-Attention Network With Hierarchical Folding
* Point Light Source Interference Removal Method for Image Dehazing, A
* Point set registration based on feature point constraints
* Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
* PointASNL: Robust Point Clouds Processing Using Nonlocal Neural Networks With Adaptive Sampling
* PointAugment: An Auto-Augmentation Framework for Point Cloud Classification
* PointGMM: A Neural GMM Network for Point Clouds
* PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation
* PointPainting: Sequential Fusion for 3D Object Detection
* PointRend: Image Segmentation As Rendering
* Polarized Non-Line-of-Sight Imaging
* Polarized Reflection Removal With Perfect Alignment in the Wild
* PolarMask: Single Shot Instance Segmentation With Polar Representation
* PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation
* Polishing Decision-Based Adversarial Noise With a Customized Sampling
* PolyTransform: Deep Polygon Transformer for Instance Segmentation
* Population Characteristics of Loess Gully System in the Loess Plateau of China
* Pose-Guided Knowledge Transfer for Object Part Segmentation
* Pose-Guided Visible Part Matching for Occluded Person ReID
* Positive technology for elderly well-being: A review
* Positive-unlabeled learning for open set domain adaptation
* Post-Processing Network Based on Dense Inception Attention for Video Compression
* potential of in-situ hyperspectral remote sensing for differentiating 12 banana genotypes grown in Uganda, The
* Potential of the Least-Squares Spectral and Cross-Wavelet Analyses for Near-Real-Time Disturbance Detection within Unequally Spaced Satellite Image Time Series, The
* Potential of UAS-Based Remote Sensing for Estimating Tree Water Status and Yield in Sweet Cherry Trees
* Pothole Detection Using Computer Vision and Learning
* Power-Constrained Image Contrast Enhancement Through Sparse Representation by Joint Mixed-Norm Regularization
* PPDM: Parallel Point Detection and Matching for Real-Time Human-Object Interaction Detection
* PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes
* Practical Effectiveness of Advanced Driver Assistance Systems at Different Roadway Facilities: System Limitation, Adoption, and Usage, The
* Pre-trained convolutional neural networks as feature extractors for diagnosis of breast cancer using histopathology
* Precise detection of Chinese characters in historical documents with deep reinforcement learning
* PREDICT CLUSTER: Unsupervised Skeleton Based Action Recognition
* Predicting Brainwaves from Face Videos
* Predicting Cognitive Declines Using Longitudinally Enriched Representations for Imaging Biomarkers
* Predicting Fall Probability Based on a Validated Balance Scale
* Predicting Goal-Directed Human Attention Using Inverse Reinforcement Learning
* Predicting Land Cover Change in the Mamminasata Area, Indonesia, to Evaluate the Spatial Plan
* Predicting Lymph Node Metastasis Using Histopathological Images Based on Multiple Instance Learning With Deep Graph Convolution
* Predicting medical image registration error with block-matching using three orthogonal planes approach
* Predicting Personality from Book Preferences with User-Generated Content Labels
* Predicting Semantic Map Representations From Images Using Pyramid Occupancy Networks
* Predicting Sentiments in Image Advertisements using Semantic Relations among Sentiment Labels
* Predicting Sharp and Accurate Occlusion Boundaries in Monocular Depth Estimation Using Displacement Fields
* Prediction of Saliency Map for Head and Eye Movements in 360 Degree Images, The
* Prediction Performance of Lane Changing Behaviors: A Study of Combining Environmental and Eye-Tracking Data in a Driving Simulator
* Preliminary Observations from the China Fengyun-4A Lightning Mapping Imager and Its Optical Radiation Characteristics
* Preliminary Selection and Characterization of Pseudo-Invariant Calibration Sites in Northwest China
* Primary Evaluation of the GCOM-C Aerosol Products at 380 nm Using Ground-Based Sky Radiometer Observations
* Prime Sample Attention in Object Detection
* Prior Guided GAN Based Semantic Inpainting
* Prior-Attention Residual Learning for More Discriminative COVID-19 Screening in CT Images
* Privacy Enhanced Decision Tree Inference
* PRIVANET: An Efficient Pseudonym Changing and Management Framework for Vehicular Ad-Hoc Networks
* Private-kNN: Practical Differential Privacy for Computer Vision
* ProAlignNet: Unsupervised Learning for Progressively Aligning Noisy Contours
* Probabilistic Oriented Object Detection in Automotive Radar
* Probabilistic Pixel-Adaptive Refinement Networks
* Probabilistic Regression for Visual Tracking
* Probabilistic Structural Latent Representation for Unsupervised Embedding
* Probabilistic Video Prediction From Noisy Data With a Posterior Confidence
* Probability Weighted Compact Feature for Domain Adaptive Retrieval
* Probing for Artifacts: Detecting Imagenet Model Evasions
* Product Quantization Network for Fast Visual Search
* Programmatic and Semantic Approach to Explaining and Debugging Neural Network Based Object Detectors, A
* Progressive Adversarial Networks for Fine-Grained Domain Adaptation
* Progressive Mirror Detection
* Progressive Motion Representation Distillation With Two-Branch Networks for Egocentric Activity Recognition
* Progressive Relation Learning for Group Activity Recognition
* Projection Probability-Driven Black-Box Attack
* projective chirp based stair representation and detection from monocular images and its application for the visually impaired, A
* Proof of Concept for Sea Ice Stage of Development Classification Using Deep Learning
* PropagationNet: Propagate Points to Curve to Learn Structure Information
* Properties of Mean Shift
* Prospects for Detecting Volcanic Events with Microwave Radiometry
* Provable Convergence of Plug-and-Play Priors With MMSE Denoisers
* Provably Convergent Projected Gradient-Type Algorithm for TDOA-Based Geolocation Under the Quasi-Parabolic Ionosphere Model, A
* Proxy Anchor Loss for Deep Metric Learning
* PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer
* PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
* PuppeteerGAN: Arbitrary Portrait Animation With Semantic-Aware Appearance Transformation
* Putting Visual Object Recognition in Context
* PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
* PVN3D: A Deep Point-Wise 3D Keypoints Voting Network for 6DoF Pose Estimation
* Pyramid Channel-based Feature Attention Network for image dehazing
* QEBA: Query-Efficient Boundary-Based Blackbox Attack
* Quadtree-Based Coding Framework for High-Density Camera Array-Based Light Field Image
* Quality and Relevance Metrics for Selection of Multimodal Pretraining Data
* Quality Assessment of PROBA-V Surface Albedo V1 for the Continuity of the Copernicus Climate Change Service
* Quality Guided Sketch-to-Photo Image Synthesis
* Quantification of Margalefidinium polykrikoides Blooms along the South Coast of Korea Using Airborne Hyperspectral Imagery
* Quantifying Ground Subsidence Associated with Aquifer Overexploitation Using Space-Borne Radar Interferometry in Kabul, Afghanistan
* Quantifying Marine Macro Litter Abundance on a Sandy Beach Using Unmanned Aerial Systems and Object-Oriented Machine Learning Methods
* Quantifying the Actual Impacts of Forest Cover Change on Surface Temperature in Guangdong, China
* Quantitative Evaluation of Channel Micro-Doppler Capacity for MIMO UWB Radar Human Activity Signals Based on Time-Frequency Signatures
* Quantitative Evaluation of Spatial and Temporal Variation of Soil Salinization Risk Using GIS-Based Geostatistical Method
* Quantum Computational Approach to Correspondence Problems on Point Sets, A
* Quasi-Newton Solver for Robust Non-Rigid Registration
* Quaternion Product Units for Deep Learning on 3D Rotation Groups
* Query-Based Video Synopsis for Intelligent Traffic Monitoring Applications
* Quintuple-Media Joint Correlation Learning With Deep Compression and Regularization
* Radar Vegetation Index for Crop Monitoring Using Compact Polarimetric SAR Data, A
* Radar-based multipoint displacement measurements of a 1200-m-long suspension bridge
* RADAR: Robust Algorithm for Depth Image Super Resolution Based on FRI Theory and Multimodal Dictionary Learning
* RAINBOW: An Operational Oriented Combined IR-Algorithm
* Rainfall Fields Monitoring Based on Satellite Microwave Down-Links and Traditional Techniques in the City of Genoa
* Randaugment: Practical automated data augmentation with a reduced search space
* RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
* RankMI: A Mutual Information Maximizing Ranking Loss
* Rapid region analysis for classification
* Rapid Training Data Creation by Synthesizing Medical Images for Classification and Localization
* Rapid, Accurate and Machine-Agnostic Segmentation and Quantification Method for CT-Based COVID-19 Diagnosis, A
* RAPiD: Rotation-Aware People Detection in Overhead Fisheye Images
* RasterNet: Modeling Free-Flow Speed using LiDAR and Overhead Imagery
* RBFNN-Based Fractional-Order Control of High-Speed Train With Uncertain Model and Actuator Failures
* RDCFace: Radial Distortion Correction for Face Recognition
* READ: Recursive Autoencoders for Document Layout Generation
* Real Image Denoising Based on Multi-Scale Residual Dense Block and Cascaded U-Net with Block-Connection
* Real Time Localization System for Vehicles Using Terrain-Based Time Series Subsequence Matching, A
* Real-Time Cross-Modality Correlation Filtering Method for Referring Expression Comprehension, A
* Real-Time Downward View Generation of a Vehicle Using Around View Monitor System
* Real-Time Infrared Stereo Matching Algorithm for RGB-D Cameras' Indoor 3D Perception, A
* Real-Time Panoptic Segmentation From Dense Detections
* Real-time Robust Approach for Tracking UAVs in Infrared Videos, A
* Real-time Tracking with Stabilized Frame
* Real-World Person Re-Identification via Degradation Invariance Learning
* Real-World Super-Resolution using Generative Adversarial Networks
* Real-World Super-Resolution via Kernel Estimation and Noise Injection
* Realistic Transformation of Facial and Vocal Smiles in Real-Time Audiovisual Streams
* Rear-End Collision Avoidance-Based on Multi-Channel Detection
* Rebalancing Bike Sharing Systems for Minimizing Depot Inventory and Traveling Costs
* Receiver operating characteristic curves with an indeterminacy zone
* Recent Advances of Hyperspectral Imaging Technology and Applications in Agriculture
* Recent Development and Challenges in Spectroscopy and Machine Vision Technologies for Crop Nitrogen Diagnosis: A Review
* Reciprocal Learning Networks for Human Trajectory Prediction
* Recognizing handwritten mathematical expressions via paired dual loss attention network and printed mathematical expressions
* Recognizing Objects From Any View With Object and Viewer-Centered Representations
* Reconstruct Locally, Localize Globally: A Model Free Method for Object Pose Estimation
* Reconstruct, Rasterize and Backprop: Dense shape and pose estimation from a single image
* Reconstruction of Cloud-free Sentinel-2 Image Time-series Using an Extended Spatiotemporal Image Fusion Approach
* Recording Urban Land Dynamic and Its Effects during 2000-2019 at 15-m Resolution by Cloud Computing with Landsat Series
* Rectified Wing Loss for Efficient and Robust Facial Landmark Localisation with Convolutional Neural Networks
* Recurrent Feature Reasoning for Image Inpainting
* Recursive Hybrid Fusion Pyramid Network for Real-Time Small Object Detection on Embedded Devices
* Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking
* Recursive Social Behavior Graph for Trajectory Prediction
* ReDA: Reinforced Differentiable Attribute for 3D Face Reconstruction
* Reducing catastrophic forgetting with learning on synthetic data
* Reducing Consumer Uncertainty: Towards an Ontology for Geospatial User-Centric Metadata
* Reducing Global Environmental Uncertainties in Reports of Tropical Forest Carbon Fluxes to REDD+ and the Paris Agreement Global Stocktake
* Reducing the feature divergence of RGB and near-infrared images using Switchable Normalization
* Reference-Based Sketch Image Colorization Using Augmented-Self Reference and Dense Semantic Correspondence
* Referring Image Segmentation via Cross-Modal Progressive Comprehension
* RefineDetLite: A Lightweight One-stage Object Detection Framework for CPU-only Devices
* Reflection removal on the windshield during nighttime driving
* Reflection Scene Separation From a Single Image
* Region based coronary artery segmentation using modified Frangi's vesselness measure
* Regional Precipitation Model Based on Geographically and Temporally Weighted Regression Kriging
* Regularization on Spatio-Temporally Smoothed Feature for Action Recognition
* Regularizing Class-Wise Predictions via Self-Knowledge Distillation
* Regularizing CNN Transfer Learning With Randomised Regression
* Regularizing Discriminative Capability of CGANs for Semi-Supervised Generative Learning
* Regularizing Neural Networks via Minimizing Hyperspherical Energy
* Rehearsal-Free Continual Learning over Small Non-I.I.D. Batches
* REIN: Flexible Mesh Generation from Point Clouds
* Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task
* Relation-Aware Global Attention for Person Re-Identification
* Relational graph neural network for situation recognition
* Relational Modeling for Robust and Efficient Pulmonary Lobe Segmentation in CT Scans
* Relationship Matters: Relation Guided Knowledge Transfer for Incremental Learning of Object Detectors
* Relative Interior Rule in Block-Coordinate Descent
* Relative Position and Map Networks in Few-shot Learning for Image Classification
* Reliable Multi-Kernel Subtask Graph Correlation Tracker
* Reliable Weighted Optimal Transport for Unsupervised Domain Adaptation
* Remote Estimation of Heart Rate Based on Multi-Scale Facial ROIs
* Remote Photoplethysmography: Rarely Considered Factors
* Remote sensed-based rainfall estimations over the East and West Africa regions for disaster risk management
* Remote Sensing Estimation of Regional NO2 via Space-Time Neural Networks
* Remote Sensing Image Scene Classification with Noisy Label Distillation
* Remote Sensing of Agricultural Greenhouses and Plastic-Mulched Farmland: An Analysis of Worldwide Research
* Remote Sensing of Volcanic Processes and Risk
* Remote Sensing Open Access Journal of MDPI: Current Progress and Future Vision
* Remote Sensing, Archaeological, and Geophysical Data to Study the Terramare Settlements: The Case Study of Fondo Paviani (Northern Italy)
* Removal of Image Obstacles for Vehicle-mounted Surrounding Monitoring Cameras by Real-time Video Inpainting
* Rendering Natural Camera Bokeh Effect with Deep Learning
* Replacing Mobile Camera ISP with a Single Deep Learning Model
* Reposing Humans by Warping 3D Features
* Representation Learning of Histopathology Images using Graph Neural Networks
* Representations, Metrics and Statistics for Shape Analysis of Elastic Graphs
* ResDepth: Learned Residual Stereo Reconstruction
* Research on Analysis Method of Characteristics Generation of Urban Rail Transit
* Residual Channel Attention Generative Adversarial Network for Image Super-Resolution and Noise Reduction
* Residual Feature Aggregation Network for Image Super-Resolution
* Residual feature pyramid networks for salient object detection
* Residual learning based CNN for breast cancer histopathological image classification
* Residual Pixel Attention Network for Spectral Reconstruction from RGB Images
* Resolution Adaptive Networks for Efficient Inference
* Response Time Analysis for Explainability of Visual Processing in CNNs
* ReSprop: Reuse Sparsified Backpropagation
* Restoration of Fast Moving Objects
* Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition From a Domain Adaptation Perspective
* Rethinking Classification and Localization for Object Detection
* Rethinking Computer-Aided Tuberculosis Diagnosis
* Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy
* Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNets
* Rethinking Differentiable Search for Mixed-Precision Neural Networks
* Rethinking Performance Estimation in Neural Architecture Search
* Rethinking Segmentation Guidance for Weakly Supervised Object Detection
* Rethinking the Route Towards Weakly Supervised Object Localization
* Rethinking Zero-Shot Video Classification: End-to-End Training for Realistic Applications
* Retina-Like Visual Image Reconstruction via Spiking Neural Model
* RetinaFace: Single-Shot Multi-Level Face Localisation in the Wild
* RetinaTrack: Online Single Stage Joint Detection and Tracking
* Retrieval of Vertical Foliage Profile and Leaf Area Index Using Transmitted Energy Information Derived from ICESat GLAS Data
* Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation
* RevealNet: Seeing Behind Objects in RGB-D Scans
* REVERIE: Remote Embodied Visual Referring Expression in Real Indoor Environments
* Reverse Perspective Network for Perspective-Aware Object Counting
* Reversible Data Hiding in JPEG Images With Multi-Objective Optimization
* Review of an Old Dilemma: Demosaicking First, or Denoising First?, A
* Review of the Sustainability Concept and the State of SDG Monitoring Using Remote Sensing, A
* Revisiting Anchor Mechanisms for Temporal Action Localization
* Revisiting Knowledge Distillation via Label Smoothing Regularization
* Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition
* Revisiting Saliency Metrics: Farthest-Neighbor Area Under Curve
* Revisiting the Evaluation of Uncertainty Estimation and Its Application to Explore Model Complexity-Uncertainty Trade-Off
* Revisiting the Sibling Head in Object Detector
* RGB to Spectral Reconstruction via Learned Basis Functions and Weights
* RGB-D image segmentation using superpixel and multi-feature fusion graph theory
* RGBD Salient Object Detection via Disentangled Cross-Modal Fusion
* RGBD-Dog: Predicting Canine Pose from RGBD Sensors
* Rice Crop Detection Using LSTM, Bi-LSTM, and Machine Learning Models from Sentinel-1 Time Series
* Rich Features Embedding for Cross-Modal Retrieval: A Simple Baseline
* Rich heterogeneous information preserving network representation learning
* RiFeGAN: Rich Feature Generation for Text-to-Image Synthesis From Prior Knowledge
* RIT-18: A Novel Dataset for Compositional Group Activity Understanding
* RL-CycleGAN: Reinforcement Learning Aware Simulation-to-Real
* RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network
* ROAM: Recurrently Optimizing Tracking Model
* RoboTHOR: An Open Simulation-to-Real Embodied AI Platform
* Robust 3D Self-Portraits in Seconds
* Robust and Fast Vehicle Turn-counts at Intersections via an Integrated Solution from Detection, Tracking and Trajectory Modeling
* Robust Assessment of Real-World Adversarial Examples
* Robust CFAR Detector Based on Truncated Statistics for Polarimetric Synthetic Aperture Radar
* Robust contactless pulse transit time estimation based on signal quality metric
* Robust Design of Deep Neural Networks Against Adversarial Attacks Based on Lyapunov Theory
* Robust DOA Estimation Against Mutual Coupling With Nested Array
* Robust Homography Estimation via Dual Principal Component Pursuit
* Robust Learning Through Cross-Task Consistency
* robust matching pursuit algorithm using information theoretic learning, A
* Robust Movement-Specific Vehicle Counting at Crowded Intersections
* Robust multi-lane detection method based on semantic discrimination
* Robust Object Detection Under Occlusion With Context-Aware CompositionalNets
* Robust One Shot Audio to Video Generation
* Robust Partial Matching for Person Search in the Wild
* Robust Reference-Based Super-Resolution With Similarity-Aware Deformable Convolution
* Robust salient object detection for RGB images
* Robust segmentation of optic disc and optic cup using statistical Kurtosis test
* Robust Semantic Segmentation by Redundant Networks With a Layer-Specific Loss Contribution and Majority Vote
* Robust signal recovery using Bayesian compressed sensing based on Lomax prior
* Robust Superpixel-Guided Attentional Adversarial Attack
* robust watermarking approach for security issue of binary documents using fully convolutional networks, A
* Robustness Guarantees for Deep Neural Networks on Videos
* ROI Extraction Based on Multiview Learning and Attention Mechanism for Unbalanced Remote Sensing Data Set
* Role of Sign and Direction of Gradient on the Performance of CNN, The
* Role of Spatial Context in Adversarial Robustness for Object Detection
* Root identification in minirhizotron imagery with multiple instance learning
* Rotate-and-Render: Unsupervised Photorealistic Face Rotation From Single-View Images
* Rotation Consistent Margin Loss for Efficient Low-Bit Face Recognition
* Rotation Equivariant Graph Convolutional Network for Spherical Image Classification
* Rotation-based spatial-temporal feature learning from skeleton sequences for action recognition
* RoutedFusion: Learning Real-Time Depth Map Fusion
* RPM-Net: Robust Point Matching Using Learned Features
* Rule-Based Cooperative Merging Strategy for Connected and Automated Vehicles, A
* s-LWSR: Super Lightweight Super-Resolution Network
* S2A: Wasserstein GAN with Spatio-Spectral Laplacian Attention for Multi-Spectral Band Synthesis
* S2LD: Semi-Supervised Landmark Detection in Low Resolution Images and Impact on Face Verification
* S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation
* SaccadeNet: A Fast and Accurate Object Detector
* Safe and Sound: Driver Safety-Aware Vehicle Re-Routing Based on Spatiotemporal Information
* SaHAN: Scale-aware hierarchical attention network for scene text recognition
* SAINT: Spatially Aware Interpolation NeTwork for Medical Slice Synthesis
* SAL: Sign Agnostic Learning of Shapes From Raw Data
* Salience-Guided Cascaded Suppression Network for Person Re-Identification
* Salient Object Detection by Contextual Refinement
* SAM: The Sensitivity of Attribution Methods to Hyperparameters
* SAM: The Sensitivity of Attribution Methods to Hyperparameters
* Same Features, Different Day: Weakly Supervised Feature Learning for Seasonal Invariance
* SampleNet: Differentiable Point Cloud Sampling
* SAPIEN: A SimulAted Part-Based Interactive ENvironment
* SAR Image Despeckling by Deep Neural Networks: from a Pre-Trained Model to an End-to-End Training Strategy
* SAR Image Despeckling Method Based on an Extended Adaptive Wiener Filter and Extended Guided Filter, A
* SAR Sentinel 1 Imaging and Detection of Palaeo-Landscape Features in the Mediterranean Area
* Satellite Constellation Reveals Crop Growth Patterns and Improves Mapping Accuracy of Cropping Practices for Subtropical Small-Scale Fields in Japan
* Satellite Image Time Series Classification With Pixel-Set Encoders and Temporal Self-Attention
* Satellite Observations of PM2.5 Changes and Driving Factors Based Forecasting Over China 2000-2025
* Say As You Wish: Fine-Grained Control of Image Caption Generation With Abstract Scene Graphs
* SBAS Integrity Model to Overbound Residuals of Higher-Order Ionospheric Effects in the Ionosphere-Free Linear Combination, An
* Scalability in Perception for Autonomous Driving: Waymo Open Dataset
* Scalable learning for bridging the species gap in image-based plant phenotyping
* Scalable Uncertainty for Computer Vision With Functional Variational Inference
* Scale-Equalizing Pyramid Convolution for Object Detection
* Scale-Space Flow for End-to-End Optimized Video Compression
* SCATTER: Selective Context Attentional Scene Text Recognizer
* Scene Recomposition by Learning-Based ICP
* Scene-Adaptive Video Frame Interpolation via Meta-Learning
* SceneAdapt: Scene-based domain adaptation for semantic segmentation using adversarial learning
* Scientific Challenges and Present Capabilities in Underwater Robotic Vehicle Design and Navigation for Oceanographic Exploration Under-Ice
* ScopeFlow: Dynamic Scene Scoping for Optical Flow
* Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks
* SCOUT: Self-Aware Discriminant Counterfactual Explanations
* ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation
* Screencast Tutorial Video Understanding
* SCT: Set Constrained Temporal Transformer for Set Supervised Action Segmentation
* SCUT-HCCDoc: A new benchmark dataset of handwritten Chinese text in unconstrained camera-captured documents
* SDC-Depth: Semantic Divide-and-Conquer Network for Monocular Depth Estimation
* SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization
* Seamless Payment System Using Face And Low-Energy Bluetooth
* SEAN: Image Synthesis With Semantic Region-Adaptive Normalization
* Search to Distill: Pearls Are Everywhere but Not the Eyes
* Searching Central Difference Convolutional Networks for Face Anti-Spoofing
* Searching for Actions on the Hyperbole
* Seasonal Comparisons of Himawari-8 AHI and MODIS Vegetation Indices over Latitudinal Australian Grassland Sites
* Seasonal Cycles of Phytoplankton Expressed by Sine Equations Using the Daily Climatology from Satellite-Retrieved Chlorophyll-a Concentration (1997-2019) Over Global Ocean
* Seasonal Dynamics of a Temperate Tibetan Glacier Revealed by High-Resolution UAV Photogrammetry and In Situ Measurements
* Secrecy Outage Analysis Over Random Beamforming Transmission With User Scheduling: Collusion vs. Exclusion
* Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks, The
* SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition
* Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar
* Seeing Red: PPG Biometrics Using Smartphone Cameras
* Seeing the World in a Bag of Chips
* Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse Weather
* Seeing without Looking: Contextual Rescoring of Object Detections for AP Maximization
* SegGCN: Efficient 3D Point Cloud Segmentation With Fuzzy Spherical Kernel
* Segmentation and detection from organised 3D point clouds: A case study in broccoli head detection
* Segmentation of Vegetation and Flood from Aerial Images Based on Decision Fusion of Neural Networks
* Select to Better Learn: Fast and Accurate Deep Learning Using Data Selection From Nonlinear Manifolds
* Select, Supplement and Focus for RGB-D Saliency Detection
* Selecting Auxiliary Data Using Knowledge Graphs for Image Classification with Limited Labels
* Selecting Optimal Completion to Partial Matrix via Self-Validation
* Selective Transfer With Reinforced Transfer Network for Partial Domain Adaptation
* Self-adaptive manifold discriminant analysis for feature extraction from hyperspectral imagery
* Self-Learning Video Rain Streak Removal: When Cyclic Consistency Meets Temporal Correspondence
* Self-Learning With Rectification Strategy for Human Parsing
* Self-Robust 3D Point Recognition via Gather-Vector Guidance
* Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis
* Self-Supervised Agent Learning for Unsupervised Cross-Domain Person Re-Identification
* Self-supervised Approach for Adversarial Robustness, A
* Self-supervised deep reconstruction of mixed strip-shredded text documents
* Self-Supervised Deep Visual Odometry With Online Adaptation
* Self-Supervised Domain Mismatch Estimation for Autonomous Perception
* Self-Supervised Domain-Aware Generative Network for Generalized Zero-Shot Learning
* Self-Supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation
* Self-Supervised Feature Extraction for 3D Axon Segmentation
* Self-Supervised Human Depth Estimation From Monocular Videos
* Self-Supervised Learning of Interpretable Keypoints From Unlabelled Videos
* Self-Supervised Learning of Local Features in 3D Point Clouds
* Self-Supervised Learning of Pretext-Invariant Representations
* Self-Supervised Learning of Video-Induced Visual Invariances
* Self-Supervised Monocular Scene Flow Estimation
* Self-Supervised Monocular Trained Depth Estimation Using Self-Attention and Discrete Disparity Volume
* Self-Supervised Object Detection and Retrieval Using Unlabeled Videos
* Self-supervised Object Motion and Depth Estimation from Video
* Self-supervised on-line cumulative learning from video streams
* Self-Supervised Scene De-Occlusion
* Self-Supervised Viewpoint Learning From Image Collections
* Self-Trained Deep Ordinal Regression for End-to-End Video Anomaly Detection
* Self-Training With Noisy Student Improves ImageNet Classification
* Self-Weighting and Hypergraph Regularization for Multi-view Spectral Clustering
* Self2Self With Dropout: Learning Self-Supervised Denoising From Single Image
* Semantic Correspondence as an Optimal Transport Problem
* Semantic Drift Compensation for Class-Incremental Learning
* Semantic Image Manipulation Using Scene Graphs
* Semantic Pixel Distances for Image Editing
* Semantic Pyramid for Image Generation
* Semantic segmentation using stride spatial pyramid pooling and dual attention decoder
* Semantically Multi-Modal Image Synthesis
* Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition
* Semantics-Preserving Graph Propagation for Zero-Shot Object Detection
* SEMEDA: Enhancing segmentation precision with semantic edge aware loss
* Semi-automated framework for generating cycling lane centerlines on roads with roadside barriers from noisy MLS data
* Semi-supervised 3D Face Representation Learning from Unconstrained Photo Collections
* Semi-Supervised Assessor of Neural Architectures, A
* Semi-Supervised Cross-Modal Retrieval With Label Prediction
* Semi-supervised elastic manifold embedding with deep learning architecture
* Semi-Supervised Learning for Few-Shot Image-to-Image Translation
* Semi-supervised learning framework based on statistical analysis for image set classification
* Semi-supervised learning using adversarial training with good and bad samples
* Semi-Supervised Learning with Scarce Annotations
* Semi-Supervised Semantic Image Segmentation With Self-Correcting Networks
* Semi-Supervised Semantic Segmentation With Cross-Consistency Training
* Sen1Floods11: a georeferenced dataset to train and test deep learning flood algorithms for Sentinel-1
* Sensitivity of Altimeter Wave Height Assessment to Data Selection
* Sensor-based and vision-based human activity recognition: A comprehensive survey
* Sensor-realistic Synthetic Data Engine for Multi-frame High Dynamic Range Photography
* Sentinel-1 Change Detection Analysis for Cyclone Damage Assessment in Urban Environments
* Sentinel-3 Microwave Radiometers: Instrument Description, Calibration and Geophysical Products Performances
* Sentinel-3 OLCI Terrestrial Chlorophyll Index (OTCI): Algorithm Improvements, Spatiotemporal Consistency and Continuity with the MERIS Archive, The
* Sentinel-3A/B SLSTR Pre-Launch Calibration of the Thermal InfraRed Channels
* Separable Robust Reversible Watermarking in Encrypted 2D Vector Graphics
* Separating Particulate Matter From a Single Microscopic Image
* Sequential 3D Human Pose and Shape Estimation From Point Clouds
* Sequential Mastery of Multiple Visual Tasks: Networks Naturally Learn to Learn and Forget to Forget
* Sequential Motif Profiles and Topological Plots for Offline Signature Verification
* SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustness
* SESS: Self-Ensembling Semi-Supervised 3D Object Detection
* Set-Constrained Viterbi for Set-Supervised Action Segmentation
* Severity-Aware Semantic Segmentation With Reinforced Wasserstein Training
* SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans
* SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation
* SGAS: Sequential Greedy Architecture Search
* Shape correspondence using anisotropic Chebyshev spectral CNNs
* Shape Reconstruction by Learning Differentiable Surface Representations
* Shared Multi-Attention Framework for Multi-Label Zero-Shot Learning, A
* SharinGAN: Combining Synthetic and Real Data for Unsupervised Geometry Estimation
* Sharpening the Sentinel-2 10 and 20 m Bands to Planetscope-0 3 m Resolution
* Ship Detection in SAR Images via Local Contrast of Fisher Vectors
* Ship Wake Detection in SAR Images via Sparse Regularization
* Ship-Iceberg Classification in SAR and Multispectral Satellite Images with Neural Networks
* Shoestring: Graph-Based Semi-Supervised Classification With Severely Limited Labeled Data
* Shoreline Extraction from WorldView2 Satellite Data in the Presence of Foam Pixels Using Multispectral Classification Method
* Show, Edit and Tell: A Framework for Editing Image Captions
* Siam R-CNN: Visual Tracking by Re-Detection
* SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking
* Siamese Box Adaptive Network for Visual Tracking
* Sideways: Depth-Parallel Training of Video Models
* Sign Language Transformers: Joint End-to-End Sign Language Recognition and Translation
* Signal Modeling and Analysis for Elevation Frequency Scanning HRWS SAR
* SILA: An Incremental Learning Approach for Pedestrian Trajectory Prediction
* Simple Algorithm for Deriving an NDVI-Based Index Compatible between GEO and LEO Sensors: Capabilities and Limitations in Japan, A
* Simple Discriminative Dual Semantic Auto-encoder for Zero-shot Classification, A
* Simplified Framework for High-Resolution Urban Vegetation Classification with Optical Imagery in the Los Angeles Megacity, A
* Simplified Framework for Zero-shot Cross-Modal Sketch Data Retrieval, A
* Simplified long short-term memory model for robust and fast prediction
* Simplifying Transformations for a Family of Elastic Metrics on the Space of Surfaces
* Simulation framework for pedestrian dynamics: modelling and calibration
* Simultaneous End-to-End Vehicle and License Plate Detection With Multi-Branch Attention Neural Network
* SimUSR: A Simple but Strong Baseline for Unsupervised Image Super-resolution
* Single Image Optical Flow Estimation With an Event Camera
* Single Image Reflection Removal Through Cascaded Refinement
* Single Image Reflection Removal With Physically-Based Training Images
* Single-Frequency GPS/BDS RTK and INS Ambiguity Resolution and Positioning Performance Enhanced with Positional Polynomial Fitting Constraint
* Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline
* Single-Look SAR Tomography of Urban Areas
* Single-Shot Monocular RGB-D Imaging Using Uneven Double Refraction
* Single-Side Domain Generalization for Face Anti-Spoofing
* Single-Stage 6D Object Pose Estimation
* Single-Stage Semantic Segmentation From Image Labels
* Single-Step Adversarial Training With Dropout Scheduling
* Single-View View Synthesis With Multiplane Images
* Skeleton-based action recognition with hierarchical spatial reasoning and temporal stack learning network
* Skeleton-Based Action Recognition With Shift Graph Convolutional Network
* Sketch Less for More: On-the-Fly Fine-Grained Sketch-Based Image Retrieval
* Sketch-BERT: Learning Sketch Bidirectional Encoder Representation From Transformers by Self-Supervised Learning of Sketch Gestalt
* Sketchformer: Transformer-Based Representation for Sketched Structure
* SketchyCOCO: Image Generation From Freehand Scene Sketches
* Skin Segmentation using Active Contours and Gaussian Mixture Models for Heart Rate Detection in Videos
* Sky Optimization: Semantically aware image processing of skies in low-light photography
* SLV: Spatial Likelihood Voting for Weakly Supervised Object Detection
* Small-Satellite Synthetic Aperture Radar for Continuous Global Biospheric Monitoring: A Review
* SmallBigNet: Integrating Core and Contextual Views for Video Classification
* Smart feature extraction and classification of hyperspectral images based on convolutional neural networks
* SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation
* Smooth Shells: Multi-Scale Shape Registration With Functional Maps
* Smooth Summaries of Persistence Diagrams and Texture Classification
* Smoothing Adversarial Domain Attack and P-Memory Reconsolidation for Cross-Domain Person Re-Identification
* SmoothMix: a Simple Yet Effective Data Augmentation to Train Robust Classifiers
* Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction
* SOFEA: A Non-iterative and Robust Optical Flow Estimation Algorithm for Dynamic Vision Sensors
* Softmax Splatting for Video Frame Interpolation
* Solving Jigsaw Puzzles With Eroded Boundaries
* Solving Mixed-Modal Jigsaw Puzzle for Fine-Grained Sketch-Based Image Retrieval
* Something-Else: Compositional Action Recognition With Spatial-Temporal Interaction Networks
* SomethingFinder: Localizing undefined regions using referring expressions
* Sonar image mosaic based on a new feature matching method
* SOS: Selective Objective Switch for Rapid Immunofluorescence Whole Slide Image Classification
* SP-NAS: Serial-to-Parallel Backbone Search for Object Detection
* Space-Time-Aware Multi-Resolution Video Enhancement
* SpaceNet 6: Multi-Sensor All Weather Mapping Dataset
* SPARE3D: A Dataset for SPAtial REasoning on Three-View Line Drawings
* Sparse Layered Graphs for Multi-Object Segmentation
* Sparse regularized low-rank tensor regression with applications in genomic data analysis
* Sparse Resultant Based Method for Efficient Minimal Solvers, A
* sparsity-promoting image decomposition model for depth recovery, A
* Spatial Analysis of Asymmetry in the Development of Tourism Infrastructure in the Borderlands: The Case of the Bystrzyckie and Orlickie Mountains
* Spatial Intensity in Tourism Accommodation: Modelling Differences in Trends for Several Types through Poisson Models
* Spatial Mismatch between the Supply and Demand of Urban Leisure Services with Multisource Open Data
* Spatial Pyramid Based Graph Reasoning for Semantic Segmentation
* Spatial RNN Codec for End-to-End Image Compression, A
* Spatial-Spectral Adaptive Haze Removal Method for Visible Remote Sensing Images, A
* Spatial-Temporal Context-Aware Online Action Detection and Prediction
* Spatial-Temporal Deep Tensor Neural Networks for Large-Scale Urban Network Speed Prediction
* Spatial-Temporal Graph Convolutional Network for Video-Based Person Re-Identification
* Spatially Attentive Output Layer for Image Classification
* Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural Networks
* Spatially-Attentive Patch-Hierarchical Network for Adaptive Motion Deblurring
* Spatio-temporal action detection and localization using a hierarchical LSTM
* Spatio-Temporal Graph for Video Captioning With Knowledge Distillation
* Spatio-Temporal Variability of Phytoplankton Primary Production in Baltic Lakes Using Sentinel-3 OLCI Data
* Spatio-Temporal Vegetation Dynamic and Persistence under Climatic and Anthropogenic Factors
* Spatio-Temporal Visualization Method for Urban Waterlogging Warning Based on Dynamic Grading
* Spatiotemporal Assessment of Irrigation Performance of the Kou Valley Irrigation Scheme in Burkina Faso Using Satellite Remote Sensing-Derived Indicators
* Spatiotemporal Dynamics of the Northern Limit of Winter Wheat in China Using MODIS Time Series Images
* Spatiotemporal Fusion in 3D CNNs: A Probabilistic View
* Spatiotemporal Varying Effects of Built Environment on Taxi and Ride-Hailing Ridership in New York City
* Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image, A
* Special Section: CIARP 2018
* Species Monitoring Using Unmanned Aerial Vehicle to Reveal the Ecological Role of Plateau Pika in Maintaining Vegetation Diversity on the Northeastern Qinghai-Tibetan Plateau
* Spectral clustering via ensemble deep autoencoder learning (SC-EDAE)
* Speech2Action: Cross-Modal Supervision for Action Recognition
* Speeding Up VP9 Intra Encoder With Hierarchical Deep Learning-Based Partition Prediction
* SpeedNet: Learning the Speediness in Videos
* Spherical Space Domain Adaptation With Robust Pseudo-Label Loss
* SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization
* Sports Video Captioning via Attentive Motion Representation and Group Relationship Modeling
* SpSequenceNet: Semantic Segmentation Network on 4D Point Clouds
* SQE: a Self Quality Evaluation Metric for Parameters Optimization in Multi-Object Tracking
* Squeeze U-Net: A Memory and Energy Efficient Image Segmentation Network
* Squeeze-and-Attention Networks for Semantic Segmentation
* SQuINTing at VQA Models: Introspecting VQA Models With Sub-Questions
* SR-CL-DMC: P-frame coding with Super-Resolution, Color Learning, and Deep Motion Compensation
* SSIM-based adaptation for DASH with SVC in mobile networks
* SSN: Learning Sparse Switchable Normalization via SparsestMax
* SSRNet: Scalable 3D Surface Reconstruction Network
* StackNet: Stacking feature maps for Continual learning
* StandardGAN: Multi-source Domain Adaptation for Semantic Segmentation of Very High Resolution Satellite Images by Data Standardization
* StarGAN v2: Diverse Image Synthesis for Multiple Domains
* State-Aware Tracker for Real-Time Video Object Segmentation
* State-Relabeling Adversarial Active Learning
* Static Thresholded Pulse Coupled Neural Networks in Contourlet Domain: A New Framework for Medical Image Denoising
* STAViS: Spatio-Temporal AudioVisual Saliency Network
* Steering Self-Supervised Feature Learning Beyond Local Pixel Statistics
* STEFANN: Scene Text Editor Using Font Adaptive Neural Network
* StegaStamp: Invisible Hyperlinks in Physical Photographs
* StereoGAN: Bridging Synthetic-to-Real Domain Gap by Joint Optimization of Domain Translation and Stereo Matching
* Stereoscopic Flash and No-Flash Photography for Shape and Albedo Recovery
* STINet: Spatio-Temporal-Interactive Network for Pedestrian Detection and Trajectory Prediction
* Stochastic Classifiers for Unsupervised Domain Adaptation
* Stochastic Conditioning Scheme for Diverse Human Motion Prediction, A
* Stochastic Sparse Subspace Clustering
* Story Completion with Explicit Modeling of Commonsense Knowledge
* Straight to the Point: Fast-Forwarding Videos via Reinforcement Learning Using Textual Data
* StRDAN: Synthetic-to-Real Domain Adaptation Network for Vehicle Re-Identification
* Stream-51: Streaming Classification and Novelty Detection from Videos
* Stress Estimation Using Multimodal Biosignal Information from RGB Facial Video
* Strip Pooling: Rethinking Spatial Pooling for Scene Parsing
* StructEdit: Learning Structural Shape Variations
* Structure Aware Single-Stage 3D Object Detection From Point Cloud
* Structure Boundary Preserving Segmentation for Medical Image With Ambiguous Boundary
* Structure Preserving Compressive Sensing MRI Reconstruction using Generative Adversarial Networks
* Structure Preserving Generative Cross-Domain Learning
* Structure-aware Building Mesh Polygonization
* Structure-Guided Ranking Loss for Single Image Depth Prediction
* Structure-Preserving Super Resolution With Gradient Guidance
* Structured Compression by Weight Encryption for Unstructured Pruning and Quantization
* Structured Multi-Hashing for Model Compression
* Structured Query-Based Image Retrieval Using Scene Graphs
* Structured Weight Unification and Encoding for Neural Network Compression and Acceleration
* Study on Seasonal Variations of Plasma Bubble Occurrence over Hong Kong Area Using GNSS Observations
* Style Normalization and Restitution for Generalizable Person Re-Identification
* StyleRig: Rigging StyleGAN for 3D Control Over Portrait Images
* Stylization-Based Architecture for Fast Deep Exemplar Colorization
* Sub-Frame Appearance and 6D Pose Estimation of Fast Moving Objects
* Subject-Sensitive Perceptual Hash Based on MUM-Net for the Integrity Authentication of High Resolution Remote Sensing Images, A
* Subpixel Dense Refinement Network for Skeletonization
* Subpixel-Pixel-Superpixel Guided Fusion for Hyperspectral Anomaly Detection
* Suitability Evaluation of Typical Drought Index in Soil Moisture Retrieval and Monitoring Based on Optical Images
* Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation
* Super-Resolution of Sentinel-2 Imagery Using Generative Adversarial Networks
* SuperGlue: Learning Feature Matching With Graph Neural Networks
* Superkernel Neural Architecture Search for Image Denoising
* Superpixel Labeling Priors and MRF for Aerial Video Segmentation
* Superpixel Segmentation With Fully Convolutional Networks
* Supervised Raw Video Denoising With a Benchmark Dataset on Dynamic Scenes
* Suppressing Uncertainties for Large-Scale Facial Expression Recognition
* SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving
* Survey of Change Detection Methods Based on Remote Sensing Images for Multi-Source and Multi-Objective Scenarios, A
* Survey of Deep Facial Attribute Analysis, A
* survey of traditional and deep learning-based feature descriptors for high dimensional data in computer vision, A
* survey on instance segmentation: state of the art, A
* Susceptibility Analysis of the Mt. Umyeon Landslide Area Using a Physical Slope Model and Probabilistic Method
* SUW-Learn: Joint Supervised, Unsupervised, Weakly Supervised Deep Learning for Monocular Depth Estimation
* SwapText: Image Based Texts Transfer in Scenes
* Symbol Spotting on Digital Architectural Floor Plans Using a Deep Learning-based Framework
* Symmetry and Group in Attribute-Object Compositions
* Syn2Real Transfer Learning for Image Deraining Using Gaussian Processes
* Synchronizing Probability Measures on Rotations via Optimal Transport
* Synergy of High-Resolution Radar and Optical Images Satellite for Identification and Mapping of Wetland Macrophytes on the Danube Delta
* SynSin: End-to-End View Synthesis From a Single Image
* Syntax-Aware Action Targeting for Video Captioning
* Syntharch: Interactive Image Search with Attribute-Conditioned Synthesis
* Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data
* System for Acquisition and Modelling of Ice-Hockey Stick Shape Deformation from Player Shot Videos, A
* Systematic Design of Input- and Output-Split Hybrid Electric Vehicles With a Speed Reduction/Multiplication Gear Using Simplified-Lever Model
* Systematic Evaluation of Backdoor Data Poisoning Attacks on Image Classifiers
* Systematic Orbital Geometry-Dependent Variations in Satellite Solar-Induced Fluorescence (SIF) Retrievals
* T Index: Measuring the Reliability of Accuracy Estimates Obtained from Non-Probability Samples, The
* T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction
* TA-Student VQA: Multi-Agents Training by Self-Questioning
* Tackling Uncertainty for the Development of Efficient Decision Support System in Air Traffic Management
* TailorNet: Predicting Clothing in 3D as a Function of Human Pose, Shape and Garment Style
* Take the Scenic Route: Improving Generalization in Vision-and-Language Navigation
* Taking a Deeper Look at Co-Salient Object Detection
* TAL EmotioNet Challenge 2020 Rethinking the Model Chosen Problem in Multi-Task Learning
* Tangent Images for Mitigating Spherical Distortion
* Target Localization in High-Coherence Multipath Environment Based on Low-Rank Decomposition and Sparse Representation
* Target tracker with masked discriminative correlation filter
* Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks
* TBT: Targeted Neural Network Attack With Bit Trojan
* TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution
* TEA: Temporal Excitation and Aggregation for Action Recognition
* technical survey on statistical modelling and design methods for crowdsourcing quality control, A
* Telling Left From Right: Learning Spatial Correspondence of Sight and Sound
* Temporal logistic neural Bag-of-Features for financial time series forecasting leveraging limit order book data
* Temporal Pyramid Network for Action Recognition
* Temporal Signatures of Passive Wi-Fi Data for Estimating Bus Passenger Waiting Time at a Single Bus Stop
* Temporal-Context Enhanced Detection of Heavily Occluded Pedestrians
* Temporal-Spatial Frequency Rockfall Data from Open-Pit Highwalls Using a Low-Cost Monitoring System
* Temporally Distributed Networks for Fast Video Semantic Segmentation
* Ten-Year Assessment of IASI Radiance and Temperature
* Tensorized Multi-view Subspace Representation Learning
* Ternary MobileNets via Per-Layer Hybrid Filter Banks
* TESA: Tensor Element Self-Attention via Matricization
* TetraTSDF: 3D Human Reconstruction From a Single Image With a Tetrahedral Outer Shell
* text-based visual context modulation neural model for multimodal machine translation, A
* Textual Visual Semantic Dataset for Text Spotting
* Texture and Shape Biased Two-Stream Networks for Clothing Classification and Attribute Recognition
* Texture Extraction Techniques for the Classification of Vegetation Species in Hyperspectral Imagery: Bag of Words Approach Based on Superpixels
* Texture Selection Approach for Cultural Artifact 3D Reconstruction Considering Both Geometry and Radiation Quality, A
* TextureFusion: High-Quality Texture Acquisition for Real-Time RGB-D Scanning
* TextureToMTF: predicting spatial frequency response in the wild
* There and Back Again: Revisiting Backpropagation Saliency Methods
* TherISuRNet - A Computationally Efficient Thermal Image Super-Resolution Network
* Thermal comfort measurement using thermal-depth images for robotic monitoring
* Thermal Image Super-Resolution Challenge - PBVS 2020
* This AI can see the forest and the trees
* Three-dimensional reconstruction of CT image features based on multi-threaded deep learning calculation
* Three-Dimensional Reconstruction of Human Interactions
* Threshold Vegetation Greenness under Water Balance in Different Desert Areas over the Silk Road Economic Belt
* Through Fog High-Resolution Imaging Using Millimeter Wave Radar
* Through the Looking Glass: Neural 3D Reconstruction of Transparent Shapes
* Tile-Based Joint Caching and Delivery of 360° Videos in Heterogeneous Networks
* Time Flies: Animating a Still Image With Time-Lapse Video As Reference
* TITAN: Future Forecast Using Action Priors
* TomoFluid: Reconstructing Dynamic Fluid From Sparse View Videos
* Top-Down Networks: A coarse-to-fine reimagination of CNNs
* topological encoding convolutional neural network for segmentation of 3D multiphoton images of brain vasculature using persistent homology, A
* Topological Nomenclature for 3D Shape Analysis in Connectomics, A
* Topology-Aware Single-Image 3D Shape Reconstruction
* Topometric Imitation Learning For Route Following Under Appearance Change
* Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways
* Total Deep Variation for Linear Inverse Problems
* Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes From a Single Image
* Toward a Universal Model for Shape From Texture
* Toward Mapping Dietary Fibers in Northern Ecosystems Using Hyperspectral and Multispectral Data
* Toward Optimal Prediction Error Expansion-Based Reversible Image Watermarking
* Toward Real-world Panoramic Image Enhancement
* Toward Super-Resolution Image Construction Based on Joint Tensor Decomposition
* Towards a Large-Scale 3D Modeling of the Built Environment: Joint Analysis of TanDEM-X, Sentinel-2 and Open Street Map Data
* Towards Accurate Scene Text Recognition With Semantic Reasoning Networks
* Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes
* Towards Backward-Compatible Representation Learning
* Towards Better Generalization: Joint Depth-Pose Learning Without PoseNet
* Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing
* Towards Circumpolar Mapping of Arctic Settlements and Infrastructure Based on Sentinel-1 and Sentinel-2
* Towards Contactless Patient Positioning
* Towards Discriminability and Diversity: Batch Nuclear-Norm Maximization Under Label Insufficient Situations
* Towards Efficient Model Compression via Learned Global Ranking
* Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation
* Towards Fine-grained Sampling for Active Learning in Object Detection
* Towards Global Explanations of Convolutional Neural Networks With Concept Attribution
* Towards High-Fidelity 3D Face Reconstruction From In-the-Wild Images Using Graph Convolutional Networks
* Towards Inheritable Models for Open-Set Domain Adaptation
* Towards Large Yet Imperceptible Adversarial Image Perturbations With Perceptual Color Distance
* Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-Training
* Towards Learning Structure via Consensus for Face Segmentation and Parsing
* Towards more discriminative features for texture recognition
* Towards Photo-Realistic Virtual Try-On by Adaptively Generating?Preserving Image Content
* Towards Real-Time Systems for Vehicle Re-Identification, Multi-Camera Tracking, and Anomaly Detection
* Towards Real-time Traffic Movement Count and Trajectory Reconstruction Using Virtual Traffic Lanes
* Towards Robust Image Classification Using Sequential Attention Models
* Towards the Perceptual Quality Enhancement of Low Bit-rate Compressed Images
* Towards Transferable Targeted Attack
* Towards Unified INT8 Training for Convolutional Neural Network
* Towards Universal Representation Learning for Deep Face Recognition
* Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis
* Towards Untrusted Social Video Verification to Combat Deepfakes via Face Geometry Consistency
* Towards Verifying Robustness of Neural Networks Against A Family of Semantic Perturbations
* Towards Visually Explaining Variational Autoencoders
* TPM: Multiple object tracking with tracklet-plane matching
* TPNet: Trajectory Proposal Network for Motion Prediction
* Traceable Radiometry Underpinning Terrestrial- and Helio-Studies (TRUTHS): An Element of a Space-Based Climate and Calibration Observatory
* Tracking by Instance Detection: A Meta-Learning Approach
* Tracking Performance of Online Stochastic Learners
* Traffic management system for smart road networks reserved for self-driving cars
* Traffic Sign Detection Under Challenging Conditions: A Deeper Look into Performance Variations and Spectral Characteristics
* Train in Germany, Test in the USA: Making 3D Object Detectors Generalize
* Training a Steerable CNN for Guidewire Detection
* Training Cascade Compact CNN With Region-IoU for Accurate Pedestrian Detection
* Training Method for Image Compression Networks to Improve Perceptual Quality of Reconstructions, A
* Training Noise-Robust Deep Neural Networks via Meta-Learning
* Training Quantized Neural Networks With a Full-Precision Auxiliary Module
* Transductive Approach for Video Object Segmentation, A
* Transductive semi-supervised metric learning for person re-identification
* Transfer Learning for Driver Model Adaptation in Lane-Changing Scenarios Using Manifold Alignment
* Transfer Learning From Synthetic to Real-Noise Denoising With Adaptive Instance Normalization
* Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking
* Transferring and Regularizing Prediction for Semantic Segmentation
* Transferring Cross-Domain Knowledge for Video Sign Language Recognition
* Transferring Dense Pose to Proximal Animal Classes
* Transform and Tell: Entity-Aware News Image Captioning
* Transform Coding Strategy for Dynamic Point Clouds, A
* Transformation GAN for Unsupervised Image Synthesis and Representation Learning
* TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot Learning
* TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting
* Trident Dehazing Network
* Triple-GAN: Progressive Face Aging with Triple Translation Loss
* TRPLP: Trifocal Relative Pose From Lines at Points
* Truncated Matrix Decomposition for Hyperspectral Image Super-Resolution, A
* TTNet: Real-time temporal and spatial video analysis of table tennis
* TubeTK: Adopting Tubes to Track Multi-Object in a One-Step Training Model
* Tunable Selective Encryption Scheme for H.265/HEVC Based on Chroma IPM and Coefficient Scrambling, A
* TV-Sparse Super-Resolution Method for Radar Forward-Looking Imaging
* Two Causal Principles for Improving Visual Dialog
* Two-Shot Spatially-Varying BRDF and Shape Estimation
* Two-stage Discriminative Re-ranking for Large-scale Landmark Retrieval
* Two-stage human hair segmentation in the wild using deep shape prior
* Two-stage knowledge transfer framework for image classification
* Two-stage multi-modal MR images fusion method based on Parametric Logarithmic Image Processing (PLIP) Model
* Two-Stage Peer-Regularized Feature Recombination for Arbitrary Image Style Transfer
* Two-step method to reduce metro transit energy consumption by optimising speed profile and timetable
* Two-tiered face verification with low-memory footprint for mobile devices
* U-Net Based Discriminator for Generative Adversarial Networks, A
* UAS-Based 3D Image Characterization of Mozarabic Church Ruins in Bobastro (Malaga), Spain, The
* UAV Photogrammetry Accuracy Assessment for Corridor Mapping Based on the Number and Distribution of Ground Control Points
* UAV-Based Multispectral Phenotyping for Disease Resistance to Accelerate Crop Improvement under Changing Climate Conditions
* UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders
* UCTGAN: Diverse Image Inpainting Based on Unsupervised Cross-Space Translation
* Ultra Low Bitrate Learned Image Compression by Selective Detail Decoding
* Ultrasound Image Despeckling Method Based on Weighted Adaptive Bilateral Filter, An
* UNAS: Differentiable Architecture Search Meets Reinforcement Learning
* Unbiased Scene Graph Generation From Biased Training
* Uncertainty Analysis for Object-Based Change Detection in Very High-Resolution Satellite Images Using Deep Learning Network
* Uncertainty Based Camera Model Selection
* Uncertainty Estimation in Deep Neural Networks for Dermoscopic Image Classification
* Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End
* Uncertainty-aware integration of local and flat classifiers for food recognition
* Uncertainty-Aware Mesh Decoder for High Fidelity 3D Face Reconstruction
* Uncertainty-Aware Score Distribution Learning for Action Quality Assessment
* Understanding action recognition in still images
* Understanding Adversarial Examples From the Mutual Influence of Images and Perturbations
* Understanding Human Hands in Contact at Internet Scale
* Understanding Knowledge Gaps in Visual Question Answering: Implications for Gap Identification and Testing
* Understanding Road Layout From Videos as a Whole
* Understanding trained CNNs by indexing neuron selectivity
* Underwater 3D Rigid Object Tracking and 6-DOF Estimation: A Case Study of Giant Steel Pipe Scale Model Underwater Installation
* Unified Binary Generative Adversarial Network for Image Retrieval and Compression
* Unified deep learning approach for prediction of Parkinson's disease
* Unified Deep Metric Representation for Mesh Saliency Detection and Non-Rigid Shape Matching, A
* Unified Dynamic Convolutional Network for Super-Resolution With Variational Degradations
* Unified Object Motion and Affinity Model for Online Multi-Object Tracking, A
* Unified Optimization Framework for Low-Rank Inducing Penalties, A
* Unifying Training and Inference for Panoptic Segmentation
* Uninformed Students: Student-Teacher Anomaly Detection With Discriminative Latent Embeddings
* UniPose: Unified Human Pose Estimation in Single Images and Videos
* Unity Style Transfer for Person Re-Identification
* Universal Face Photo-Sketch Style Transfer via Multiview Domain Translation
* Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs
* Universal Physical Camouflage Attacks on Object Detectors
* Universal Source-Free Domain Adaptation
* Universal Weighting Metric Learning for Cross-Modal Matching
* Unobtrusive Inference of Affective States in Virtual Rehabilitation from Upper Limb Motions: A Feasibility Study
* Unpaired Image Super-Resolution Using Pseudo-Supervision
* Unpaired Portrait Drawing Generation via Asymmetric Cycle Mapping
* Unprecedented Temporary Reduction in Global Air Pollution Associated with COVID-19 Forced Confinement: A Continental and City Scale Analysis
* Unsupervised Adaptation Learning for Hyperspectral Imagery Super-Resolution
* Unsupervised Adaptation of a Person-Specific Manifold of Facial Expressions
* Unsupervised Batch Normalization
* Unsupervised Deep Cross-modality Spectral Hashing
* Unsupervised Deep Shape Descriptor With Point Distribution Learning
* Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering
* Unsupervised Domain Adaptation With Hierarchical Gradient Synchronization
* Unsupervised Ensemble-Kernel Principal Component Analysis for Hyperspectral Anomaly Detection
* Unsupervised Feature Selection Via Data Reconstruction and Side Information
* Unsupervised Image Super-Resolution with an Indirect Supervised Path
* Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-Weighting
* Unsupervised Intra-Domain Adaptation for Semantic Segmentation Through Self-Supervision
* Unsupervised Learning for Intrinsic Image Decomposition From a Single Image
* Unsupervised Learning From Video With Deep Neural Embeddings
* Unsupervised Learning of Image Segmentation Based on Differentiable Feature Clustering
* Unsupervised Learning of Intrinsic Structural Representation Points
* Unsupervised Learning of Metric Representations with Slow Features from Omnidirectional Views
* Unsupervised Learning of Optical Flow With CNN-Based Non-Local Filtering
* Unsupervised Learning of Probably Symmetric Deformable 3D Objects From Images in the Wild
* Unsupervised Magnification of Posture Deviations Across Subjects
* Unsupervised Model Personalization While Preserving Privacy and Scalability: An Open Problem
* Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation
* Unsupervised object detection via LWIR/RGB translation
* Unsupervised Person Re-Identification via Multi-Label Classification
* Unsupervised Person Re-Identification via Softened Similarity Learning
* Unsupervised Real Image Super-Resolution via Generative Variational AutoEncoder
* Unsupervised Real-World Super Resolution with Cycle Generative Adversarial Network and Domain Discriminator
* Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation
* Unsupervised Representation Learning for Gaze Estimation
* Unsupervised Single Image Super-Resolution Network (USISResNet) for Real-World Data Using Generative Adversarial Network
* Unsupervised Temporal Consistency Metric for Video Segmentation in Highly-Automated Driving
* Upgrading Optical Flow to 3D Scene Flow Through Optical Expansion
* Upright and Stabilized Omnidirectional Depth Estimation for Wide-baseline Multi-camera Inertial Systems
* Urban Tree Health Classification Across Tree Species by Combining Airborne Laser Scanning and Imaging Spectroscopy
* Use of gradient and normal vectors for face recognition
* Use of Moon Observations for Characterization of Sentinel-3B Ocean and Land Color Instrument
* Use of multi-temporal satellite data for monitoring pool surface areas occurring in non-perennial rivers in semi-arid environments of the Western Cape, South Africa
* Use of UAS Multispectral Imagery at Different Physiological Stages for Yield Prediction and Input Resource Optimization in Corn
* Use of USV to Develop Navigational and Bathymetric Charts of Yacht Ports on the Example of National Sailing Centre in Gdansk, The
* Use the Force, Luke! Learning to Predict Physical Forces by Simulating Effects
* User Authentication System Based on Speech and Cascade Hybrid Facial Feature
* Using an autoencoder in the design of an anomaly detector for smart manufacturing
* Using Apparent Electrical Conductivity as Indicator for Investigating Potential Spatial Variation of Soil Salinity across Seven Oases along Tarim River in Southern Xinjiang, China
* Using Approximate Dynamic Programming to Maximize Regenerative Energy Utilization for Metro
* Using Growing-Season Time Series Coherence for Improved Peatland Mapping: Comparing the Contributions Sentinel-1 and RADARSAT-2 Coherence in Full and Partial Time Series
* Using Mixture of Expert Models to Gain Insights into Semantic Segmentation
* Using Player's Body-Orientation to Model Pass Feasibility in Soccer
* Using Satellite Thermal-Based Evapotranspiration Time Series for Defining Management Zones and Spatial Association to Local Attributes in a Vineyard
* Using Sinusoidally-Modulated Noise as a Surrogate for Slow-Wave Sleep to Accomplish Stable Unsupervised Dictionary Learning in a Spike-Based Sparse Coding Model
* Using UAV-Based SOPC Derived LAI and SAFY Model for Biomass and Yield Estimation of Winter Wheat
* Utilization of Multi-Temporal Microwave Remote Sensing Data within a Geostatistical Regionalization Approach for the Derivation of Soil Texture
* Utilizing Mask R-CNN for Waterline Detection in Canoe Sprint Video Analysis
* Validation of Sentinel-3 OLCI Integrated Water Vapor Products Using Regional GNSS Measurements in Crete, Greece
* Validation of the Weight Function in the Leading-Edge-Derivative Path Delay Estimator for Space-Based GNSS-R Altimetry, The
* Variable Rate Image Compression Method with Dead-zone Quantizer
* Variable Rate Image Compression with Content Adaptive Optimization
* Variable Splitting Methods for Constrained State Estimation in Partially Observed Markov Processes
* Variational Context-Deformable ConvNets for Indoor Scene Parsing
* Variational-EM-Based Deep Learning for Noise-Blind Image Deblurring
* Variations of Mass Balance of the Greenland Ice Sheet from 2002 to 2019
* Varicolored Image De-Hazing
* VDFlow: Joint Learning for Optical Flow and Video Deblurring
* Vec2Face: Unveil Human Faces From Their Blackbox Features in Face Recognition
* VecRoad: Point-Based Iterative Graph Exploration for Road Graphs Extraction
* Vector score alpha integration for classifier late fusion
* VectorNet: Encoding HD Maps and Agent Dynamics From Vectorized Representation
* Vegetated Target Decorrelation in SAR and Interferometry: Models, Simulation, and Performance Evaluation
* Vehicle Counts by Class Framework using Distinguished Regions Tracking at Multiple Intersections, A
* Vehicle detection of multi-source remote sensing data using active fine-tuning network
* Vehicle Re-Identification Based on Complementary Features
* Vehicle Re-Identification in Multi-Camera scenarios based on Ensembling Deep Learning Features
* Vehicle Turning Behavior Modeling at Conflicting Areas of Mixed-Flow Intersections Based on Deep Learning
* Vertigo Effect on Your Smartphone: Dolly Zoom via Single Shot View Synthesis, The
* ViBE: Dressing for Diverse Body Shapes
* VIBE: Video Inference for Human Body Pose and Shape Estimation
* Video Compression Framework Using an Overfitted Restoration Neural Network, A
* Video Instance Segmentation Tracking With a Modified VAE Architecture
* Video Modeling With Correlation Networks
* Video Object Grounding Using Semantic Roles in Language Description
* Video Panoptic Segmentation
* Video Playback Rate Perception for Self-Supervised Spatio-Temporal Representation Learning
* Video stitching based on multi-view spatiotemporal feature points and grid-based matching
* Video Super-Resolution With Temporal Group Attention
* Video to Events: Recycling Video Datasets for Event Cameras
* View-GCN: View-Based Graph Convolutional Network for 3D Shape Analysis
* View-specific subspace learning and re-ranking for semi-supervised person re-identification
* ViewAL: Active Learning With Viewpoint Entropy for Semantic Segmentation
* Viewpoint constrained and unconstrained Cricket stroke localization from untrimmed videos
* Viewpoint-aware Channel-wise Attentive Network for Vehicle Re-identification
* VIFB: A Visible and Infrared Image Fusion Benchmark
* Violin: A Large-Scale Dataset for Video-and-Language Inference
* ViPR: Visual-Odometry-aided Pose Regression for 6DoF Camera Localization
* ViSeR: Visual Self-Regularization
* Vision-Dialog Navigation by Exploring Cross-Modal Memory
* Vision-Language Navigation With Self-Supervised Auxiliary Reasoning Tasks
* Visual 3D Reconstruction and Dynamic Simulation of Fruit Trees for Robotic Manipulation
* Visual Analysis of Place Connectedness by Public Transport
* Visual and Textual Deep Feature Fusion for Document Image Classification
* Visual BMI estimation from face images using a label distribution based method
* Visual Chirality
* Visual Commonsense R-CNN
* Visual Commonsense Representation Learning via Causal Inference
* Visual Distortions in 360° Videos
* Visual Grounding in Video for Unsupervised Word Translation
* Visual Parsing with Query-Driven Global Graph Attention (QD-GGA): Preliminary Results for Handwritten Math Formula Recognition
* Visual Reaction: Learning to Play Catch With Your Drone
* Visual Relationship Embedding Network for Image Paragraph Generation
* Visual saliency based global-local feature representation for skin cancer classification
* Visual Saliency via Embedding Hierarchical Knowledge in a Deep Neural Network
* Visual tracking by dynamic matching-classification network switching
* Visual Tracking With Multiview Trajectory Prediction
* Visual-Semantic Matching by Exploring High-Order Attention and Distraction
* Visual-Textual Capsule Routing for Text-Based Video Segmentation
* Visually Imbalanced Stereo Matching
* Visually Interpretable Representation Learning for Depression Recognition from Facial Images
* VOC-RelD: Vehicle Re-identification based on Vehicle-Orientation-Camera
* VOLDOR: Visual Odometry From Log-Logistic Dense Optical Flow Residuals
* VoronoiNet: General Functional Approximators with Local Support
* VPLNet: Deep Single View Normal Estimation With Vanishing Points and Lines
* VQA With No Questions-Answers Training
* VR Alpine Ski Training Augmentation using Visual Cues of Leading Skier
* VSGNet: Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions
* Vulnerability of Person Re-Identification Models to Metric Adversarial Attacks
* Wall: The Earth in True Natural Color from Real-Time Geostationary Satellite Imagery, The
* Warp to the Future: Joint Forecasting of Features and Feature Motion
* Warping Residual Based Image Stitching for Large Parallax
* Wasserstein Loss based Deep Object Detection
* Watch Your Up-Convolution: CNN Based Generative Deep Neural Networks Are Failing to Reproduce Spectral Distributions
* WatchNet++: efficient and accurate depth-based network for detecting people attacks and intrusion
* Water level prediction from social media images with a multi-task ranking approach
* Water Storage Monitoring in the Aral Sea and its Endorheic Basin from Multisatellite Data and a Hydrological Model
* Wavelet Based Waveform Distortion Measures for Assessment of Denoised EEG Quality With Reference to Noise-Free EEG Signal
* Wavelet Frame-Based Fuzzy C-Means Clustering for Segmenting Images on Graphs
* Wavelet Integrated CNNs for Noise-Robust Image Classification
* Wavelet Synthesis Net for Disparity Estimation to Synthesize DSLR Calibre Bokeh Effect on Smartphones
* WaveletStereo: Learning Wavelet Coefficients of Disparity Map in Stereo Matching
* WCP: Worst-Case Perturbations for Semi-Supervised Deep Learning
* Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image Analysis
* Weakly supervised deep network for spatiotemporal localization and detection of human actions in wild conditions
* Weakly Supervised Discriminative Feature Learning With State Information for Person Identification
* Weakly Supervised Fine-Grained Image Classification via Guassian Mixture Model Oriented Discriminative Learning
* Weakly Supervised Learning Guided by Activation Mapping Applied to a Novel Citrus Pest Benchmark
* Weakly Supervised Learning with Multi-Stream CNN-LSTM-HMMs to Discover Sequential Parallelism in Sign Language Videos
* Weakly Supervised Semantic Point Cloud Segmentation: Towards 10x Fewer Labels
* Weakly Supervised Visual Semantic Parsing
* Weakly-Supervised 3D Human Pose Learning via Multi-View Images in the Wild
* Weakly-Supervised Action Localization by Generative Attention Modeling
* Weakly-supervised domain adaptation for built-up region segmentation in aerial and satellite imagery
* Weakly-Supervised Domain Adaptation via GAN and Mesh Model for Estimating 3D Hand Poses Interacting Objects
* Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT, A
* Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild
* Weakly-Supervised Salient Object Detection via Scribble Annotations
* Weakly-supervised Semantic Guided Hashing for Social Image Retrieval
* Weakly-Supervised Semantic Segmentation via Sub-Category Exploration
* Wearable assistive devices for visually impaired: A state of the art survey
* Weather Radar and Rain-Gauge Data Fusion for Quantitative Precipitation Estimation: Two Case Studies
* web-based intelligence platform for diagnosis of malaria in thick blood smear images: a case for a developing country, A
* Webly Supervised Knowledge Embedding Model for Visual Reasoning
* Weighted and Class-Specific Maximum Mean Discrepancy for Unsupervised Domain Adaptation
* Weighted Euler Curve Transform for Shape and Image Analysis, The
* What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation
* What Deep CNNs Benefit From Global Covariance Pooling: An Optimization Perspective
* What Does Plate Glass Reveal About Camera Calibration?
* What is Happening Inside a Continual Learning Model?: A Representation-Based Evaluation of Representational Forgetting
* What It Thinks Is Important Is Important: Robustness Transfers Through Input Gradients
* What Machines See Is Not What They Get: Fooling Scene Text Recognition Models With Adversarial Text Images
* What Makes Training Multi-Modal Classification Networks Hard?
* What You See is What You Get: Exploiting Visibility for 3D Object Detection
* What's Hidden in a Randomly Weighted Neural Network?
* When NAS Meets Robustness: In Search of Robust Architectures Against Adversarial Attacks
* When Person Re-identification Meets Changing Clothes
* When to Use Convolutional Neural Networks for Inverse Problems
* When2com: Multi-Agent Perception via Communication Graph Grouping
* Where Am I Looking At? Joint Location and Orientation Estimation by Cross-View Matching
* Where Does It End?: Reasoning About Hidden Surfaces by Object Intersection Constraints
* Where Does It Exist: Spatio-Temporal Video Grounding for Multi-Form Sentences
* Where to look: a collection of methods forMAV heading correction in underground tunnels
* Which Is Plagiarism: Fashion Image Retrieval Based on Regional Representation for Design Protection
* Why Having 10,000 Parameters in Your Camera Model Is Better Than Twelve
* Wildfire Trend Analysis over the Contiguous United States Using Remote Sensing Observations
* Wish You Were Here: Context-Aware Human Generation
* WISH: efficient 3D biological shape classification through Willmore flow and Spherical Harmonics decomposition
* Wishart-Based Adaptive Temporal Filtering of Polarimetric SAR Imagery
* X-Linear Attention Networks for Image Captioning
* X-ModalNet: A semi-supervised deep cross-modal network for classification of remote sensing data
* X-ray image analysis for automated knee osteoarthritis detection
* X3D: Expanding Architectures for Efficient Video Recognition
* xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation
* Yoga-82: A New Dataset for Fine-grained Classification of Human Poses
* You2Me: Inferring Body Pose in Egocentric Video via First and Second Person Interactions
* Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models
* Zero-Assignment Constraint for Graph Matching With Outliers
* Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
* Zero-shot Handwritten Chinese Character Recognition with hierarchical decomposition embedding
* Zero-Shot Image Dehazing
* Zero-Shot Learning in the Presence of Hierarchically Coarsened Labels
* Zero-VIRUS*: Zero-shot Vehicle Route Understanding System for Intelligent Transportation
* ZeroQ: A Novel Zero Shot Quantization Framework
* Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution
* ZSTAD: Zero-Shot Temporal Activity Detection
3069 for 2008

Index for "2"


Last update:19-Oct-20 16:14:07
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