【CVPR2019】论文完整列表一

CVPR 2019 Paper list No.1-1000

?CVPR2019 完整列表二

论文题目与链接
Finding Task-Relevant Features for Few-Shot Learning by Category Traversal
Edge-Labeling Graph Neural Network for Few-Shot Learning
Generating Classification Weights With GNN Denoising Autoencoders for Few-Shot Learning
Kervolutional Neural Networks
Why ReLU Networks Yield High-Confidence Predictions Far Away From the Training Data and How to Mitigate the Problem
On the Structural Sensitivity of Deep Convolutional Networks to the Directions of Fourier Basis Functions
Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization
Hardness-Aware Deep Metric Learning
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation
Learning Loss for Active Learning
Striking the Right Balance With Uncertainty
AutoAugment: Learning Augmentation Strategies From Data
SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration Without Correspondences
BAD SLAM: Bundle Adjusted Direct RGB-D SLAM
Revealing Scenes by Inverting Structure From Motion Reconstructions
Strand-Accurate Multi-View Hair Capture
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
Pushing the Boundaries of View Extrapolation With Multiplane Images
GA-Net: Guided Aggregation Net for End-To-End Stereo Matching
Real-Time Self-Adaptive Deep Stereo
LAF-Net: Locally Adaptive Fusion Networks for Stereo Confidence Estimation
NM-Net: Mining Reliable Neighbors for Robust Feature Correspondences
Coordinate-Free Carlsson-Weinshall Duality and Relative Multi-View Geometry
Deep Reinforcement Learning of Volume-Guided Progressive View Inpainting for 3D Point Scene Completion From a Single Depth Image
Video Action Transformer Network
Timeception for Complex Action Recognition
STEP: Spatio-Temporal Progressive Learning for Video Action Detection
Relational Action Forecasting
Long-Term Feature Banks for Detailed Video Understanding
Which Way Are You Going? Imitative Decision Learning for Path Forecasting in Dynamic Scenes
What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment
MHP-VOS: Multiple Hypotheses Propagation for Video Object Segmentation
2.5D Visual Sound
Language-Driven Temporal Activity Localization: A Semantic Matching Reinforcement Learning Model
Gaussian Temporal Awareness Networks for Action Localization
Efficient Video Classification Using Fewer Frames
Parsing R-CNN for Instance-Level Human Analysis
Large Scale Incremental Learning
TopNet: Structural Point Cloud Decoder
Perceive Where to Focus: Learning Visibility-Aware Part-Level Features for Partial Person Re-Identification
Meta-Transfer Learning for Few-Shot Learning
Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation
Deep RNN Framework for Visual Sequential Applications
Graph-Based Global Reasoning Networks
SSN: Learning Sparse Switchable Normalization via SparsestMax
Spherical Fractal Convolutional Neural Networks for Point Cloud Recognition
Learning to Generate Synthetic Data via Compositing
Divide and Conquer the Embedding Space for Metric Learning
Latent Space Autoregression for Novelty Detection
Attending to Discriminative Certainty for Domain Adaptation
Feature Denoising for Improving Adversarial Robustness
Selective Kernel Networks
On Implicit Filter Level Sparsity in Convolutional Neural Networks
FlowNet3D: Learning Scene Flow in 3D Point Clouds
Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks
Co-Occurrent Features in Semantic Segmentation
Bag of Tricks for Image Classification with Convolutional Neural Networks
Learning Channel-Wise Interactions for Binary Convolutional Neural Networks
Knowledge Adaptation for Efficient Semantic Segmentation
Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack
Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-Identification
Dissecting Person Re-Identification From the Viewpoint of Viewpoint
Learning to Reduce Dual-Level Discrepancy for Infrared-Visible Person Re-Identification
Progressive Feature Alignment for Unsupervised Domain Adaptation
Feature-Level Frankenstein: Eliminating Variations for Discriminative Recognition
Learning a Deep ConvNet for Multi-Label Classification With Partial Labels
Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression
Densely Semantically Aligned Person Re-Identification
Generalising Fine-Grained Sketch-Based Image Retrieval
Adapting Object Detectors via Selective Cross-Domain Alignment
Cyclic Guidance for Weakly Supervised Joint Detection and Segmentation
Thinking Outside the Pool: Active Training Image Creation for Relative Attributes
Generalizable Person Re-Identification by Domain-Invariant Mapping Network
Visual Attention Consistency Under Image Transforms for Multi-Label Image Classification
Re-Ranking via Metric Fusion for Object Retrieval and Person Re-Identification
Unsupervised Open Domain Recognition by Semantic Discrepancy Minimization
Weakly Supervised Person Re-Identification
PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud
Automatic Adaptation of Object Detectors to New Domains Using Self-Training
Deep Sketch-Shape Hashing With Segmented 3D Stochastic Viewing
Generative Dual Adversarial Network for Generalized Zero-Shot Learning
Query-Guided End-To-End Person Search
Libra R-CNN: Towards Balanced Learning for Object Detection
Learning a Unified Classifier Incrementally via Rebalancing
Feature Selective Anchor-Free Module for Single-Shot Object Detection
Bottom-Up Object Detection by Grouping Extreme and Center Points
Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples
SCOPS: Self-Supervised Co-Part Segmentation
Unsupervised Moving Object Detection via Contextual Information Separation
Pose2Seg: Detection Free Human Instance Segmentation
DrivingStereo: A Large-Scale Dataset for Stereo Matching in Autonomous Driving Scenarios
PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding
A Dataset and Benchmark for Large-Scale Multi-Modal Face Anti-Spoofing
Unsupervised Learning of Consensus Maximization for 3D Vision Problems
VizWiz-Priv: A Dataset for Recognizing the Presence and Purpose of Private Visual Information in Images Taken by Blind People
Structural Relational Reasoning of Point Clouds
MVF-Net: Multi-View 3D Face Morphable Model Regression
Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction
Guided Stereo Matching
Unsupervised Event-Based Learning of Optical Flow, Depth, and Egomotion
Modeling Local Geometric Structure of 3D Point Clouds Using Geo-CNN
3D Point Capsule Networks
GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving
Single-Image Piece-Wise Planar 3D Reconstruction via Associative Embedding
3DN: 3D Deformation Network
HorizonNet: Learning Room Layout With 1D Representation and Pano Stretch Data Augmentation
Deep Fitting Degree Scoring Network for Monocular 3D Object Detection
Pushing the Envelope for RGB-Based Dense 3D Hand Pose Estimation via Neural Rendering
Self-Supervised Learning of 3D Human Pose Using Multi-View Geometry
FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation From a Single Image
Dense 3D Face Decoding Over 2500FPS: Joint Texture & Shape Convolutional Mesh Decoders
Does Learning Specific Features for Related Parts Help Human Pose Estimation?
Linkage Based Face Clustering via Graph Convolution Network
Towards High-Fidelity Nonlinear 3D Face Morphable Model
RegularFace: Deep Face Recognition via Exclusive Regularization
BridgeNet: A Continuity-Aware Probabilistic Network for Age Estimation
GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction
Improving the Performance of Unimodal Dynamic Hand-Gesture Recognition With Multimodal Training
Learning to Reconstruct People in Clothing From a Single RGB Camera
Distilled Person Re-Identification: Towards a More Scalable System
A Perceptual Prediction Framework for Self Supervised Event Segmentation
COIN: A Large-Scale Dataset for Comprehensive Instructional Video Analysis
Recurrent Attentive Zooming for Joint Crowd Counting and Precise Localization
An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition
Graph Convolutional Label Noise Cleaner: Train a Plug-And-Play Action Classifier for Anomaly Detection
MAN: Moment Alignment Network for Natural Language Moment Retrieval via Iterative Graph Adjustment
Less Is More: Learning Highlight Detection From Video Duration
DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition
AdaFrame: Adaptive Frame Selection for Fast Video Recognition
Spatio-Temporal Video Re-Localization by Warp LSTM
Completeness Modeling and Context Separation for Weakly Supervised Temporal Action Localization
Unsupervised Deep Tracking
Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers
Fast Online Object Tracking and Segmentation: A Unifying Approach
Object Tracking by Reconstruction With View-Specific Discriminative Correlation Filters
SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints
Leveraging Shape Completion for 3D Siamese Tracking
Target-Aware Deep Tracking
Spatiotemporal CNN for Video Object Segmentation
Towards Rich Feature Discovery With Class Activation Maps Augmentation for Person Re-Identification
Wide-Context Semantic Image Extrapolation
End-To-End Time-Lapse Video Synthesis From a Single Outdoor Image
GIF2Video: Color Dequantization and Temporal Interpolation of GIF Images
Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis
Pluralistic Image Completion
Salient Object Detection With Pyramid Attention and Salient Edges
Latent Filter Scaling for Multimodal Unsupervised Image-To-Image Translation
Attention-Aware Multi-Stroke Style Transfer
Feedback Adversarial Learning: Spatial Feedback for Improving Generative Adversarial Networks
Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting
Example-Guided Style-Consistent Image Synthesis From Semantic Labeling
MirrorGAN: Learning Text-To-Image Generation by Redescription
Light Field Messaging With Deep Photographic Steganography
Im2Pencil: Controllable Pencil Illustration From Photographs
When Color Constancy Goes Wrong: Correcting Improperly White-Balanced Images
Beyond Volumetric Albedo – A Surface Optimization Framework for Non-Line-Of-Sight Imaging
Reflection Removal Using a Dual-Pixel Sensor
Practical Coding Function Design for Time-Of-Flight Imaging
Meta-SR: A Magnification-Arbitrary Network for Super-Resolution
Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net
Learning Attraction Field Representation for Robust Line Segment Detection
Blind Super-Resolution With Iterative Kernel Correction
Video Magnification in the Wild Using Fractional Anisotropy in Temporal Distribution
Attentive Feedback Network for Boundary-Aware Salient Object Detection
Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning
Learning to Calibrate Straight Lines for Fisheye Image Rectification
Camera Lens Super-Resolution
Frame-Consistent Recurrent Video Deraining With Dual-Level Flow
Deep Plug-And-Play Super-Resolution for Arbitrary Blur Kernels
Sea-Thru: A Method for Removing Water From Underwater Images
Deep Network Interpolation for Continuous Imagery Effect Transition
Spatially Variant Linear Representation Models for Joint Filtering
Toward Convolutional Blind Denoising of Real Photographs
Towards Real Scene Super-Resolution With Raw Images
ODE-Inspired Network Design for Single Image Super-Resolution
Blind Image Deblurring With Local Maximum Gradient Prior
Attention-Guided Network for Ghost-Free High Dynamic Range Imaging
Searching for a Robust Neural Architecture in Four GPU Hours
Hierarchy Denoising Recursive Autoencoders for 3D Scene Layout Prediction
Adaptively Connected Neural Networks
CrDoCo: Pixel-Level Domain Transfer With Cross-Domain Consistency
Temporal Cycle-Consistency Learning
Predicting Future Frames Using Retrospective Cycle GAN
Density Map Regression Guided Detection Network for RGB-D Crowd Counting and Localization
TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning
Learning Semantic Segmentation From Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach
Attentive Single-Tasking of Multiple Tasks
Deep Metric Learning to Rank
End-To-End Multi-Task Learning With Attention
Self-Supervised Learning via Conditional Motion Propagation
Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence
All About Structure: Adapting Structural Information Across Domains for Boosting Semantic Segmentation
Iterative Reorganization With Weak Spatial Constraints: Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning
Revisiting Self-Supervised Visual Representation Learning
It’s Not About the Journey; It’s About the Destination: Following Soft Paths Under Question-Guidance for Visual Reasoning
Actively Seeking and Learning From Live Data
Improving Referring Expression Grounding With Cross-Modal Attention-Guided Erasing
Neighbourhood Watch: Referring Expression Comprehension via Language-Guided Graph Attention Networks
Scene Graph Generation With External Knowledge and Image Reconstruction
Polysemous Visual-Semantic Embedding for Cross-Modal Retrieval
MUREL: Multimodal Relational Reasoning for Visual Question Answering
Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering
Information Maximizing Visual Question Generation
Learning to Detect Human-Object Interactions With Knowledge
Learning Words by Drawing Images
Factor Graph Attention
Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition
ESIR: End-To-End Scene Text Recognition via Iterative Image Rectification
ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape
Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images
Biologically-Constrained Graphs for Global Connectomics Reconstruction
P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification
Elastic Boundary Projection for 3D Medical Image Segmentation
SIXray: A Large-Scale Security Inspection X-Ray Benchmark for Prohibited Item Discovery in Overlapping Images
Noise2Void - Learning Denoising From Single Noisy Images
Joint Discriminative and Generative Learning for Person Re-Identification
Unsupervised Person Re-Identification by Soft Multilabel Learning
Learning Context Graph for Person Search
Gradient Matching Generative Networks for Zero-Shot Learning
Doodle to Search: Practical Zero-Shot Sketch-Based Image Retrieval
Zero-Shot Task Transfer
C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection
Weakly Supervised Learning of Instance Segmentation With Inter-Pixel Relations
Attention-Based Dropout Layer for Weakly Supervised Object Localization
Domain Generalization by Solving Jigsaw Puzzles
Transferrable Prototypical Networks for Unsupervised Domain Adaptation
Blending-Target Domain Adaptation by Adversarial Meta-Adaptation Networks
ELASTIC: Improving CNNs With Dynamic Scaling Policies
ScratchDet: Training Single-Shot Object Detectors From Scratch
SFNet: Learning Object-Aware Semantic Correspondence
Deep Metric Learning Beyond Binary Supervision
Learning to Cluster Faces on an Affinity Graph
C2AE: Class Conditioned Auto-Encoder for Open-Set Recognition
Shapes and Context: In-The-Wild Image Synthesis & Manipulation
Semantics Disentangling for Text-To-Image Generation
Semantic Image Synthesis With Spatially-Adaptive Normalization
Progressive Pose Attention Transfer for Person Image Generation
Unsupervised Person Image Generation With Semantic Parsing Transformation
DeepView: View Synthesis With Learned Gradient Descent
Animating Arbitrary Objects via Deep Motion Transfer
Textured Neural Avatars
IM-Net for High Resolution Video Frame Interpolation
Homomorphic Latent Space Interpolation for Unpaired Image-To-Image Translation
Multi-Channel Attention Selection GAN With Cascaded Semantic Guidance for Cross-View Image Translation
Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mapping
DeepVoxels: Learning Persistent 3D Feature Embeddings
Inverse Path Tracing for Joint Material and Lighting Estimation
The Visual Centrifuge: Model-Free Layered Video Representations
Label-Noise Robust Generative Adversarial Networks
DLOW: Domain Flow for Adaptation and Generalization
CollaGAN: Collaborative GAN for Missing Image Data Imputation
d-SNE: Domain Adaptation Using Stochastic Neighborhood Embedding
Taking a Closer Look at Domain Shift: Category-Level Adversaries for Semantics Consistent Domain Adaptation
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
ContextDesc: Local Descriptor Augmentation With Cross-Modality Context
Large-Scale Long-Tailed Recognition in an Open World
AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations Rather Than Data
SDC - Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks
Learning Correspondence From the Cycle-Consistency of Time
AE2-Nets: Autoencoder in Autoencoder Networks
Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach
Learning Spatial Common Sense With Geometry-Aware Recurrent Networks
Structured Knowledge Distillation for Semantic Segmentation
Scan2CAD: Learning CAD Model Alignment in RGB-D Scans
Towards Scene Understanding: Unsupervised Monocular Depth Estimation With Semantic-Aware Representation
Tell Me Where I Am: Object-Level Scene Context Prediction
Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation
Supervised Fitting of Geometric Primitives to 3D Point Clouds
Do Better ImageNet Models Transfer Better?
Gotta Adapt 'Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the Wild
Understanding the Disharmony Between Dropout and Batch Normalization by Variance Shift
Circulant Binary Convolutional Networks: Enhancing the Performance of 1-Bit DCNNs With Circulant Back Propagation
DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Multi-Scale Deep Features
Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks
Universal Domain Adaptation
Improving Transferability of Adversarial Examples With Input Diversity
Sequence-To-Sequence Domain Adaptation Network for Robust Text Image Recognition
Hybrid-Attention Based Decoupled Metric Learning for Zero-Shot Image Retrieval
Learning to Sample
Few-Shot Learning via Saliency-Guided Hallucination of Samples
Variational Convolutional Neural Network Pruning
Towards Optimal Structured CNN Pruning via Generative Adversarial Learning
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression
Fully Quantized Network for Object Detection
MnasNet: Platform-Aware Neural Architecture Search for Mobile
Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More
K-Nearest Neighbors Hashing
Learning RoI Transformer for Oriented Object Detection in Aerial Images
Snapshot Distillation: Teacher-Student Optimization in One Generation
Geometry-Aware Distillation for Indoor Semantic Segmentation
LiveSketch: Query Perturbations for Guided Sketch-Based Visual Search
Bounding Box Regression With Uncertainty for Accurate Object Detection
OCGAN: One-Class Novelty Detection Using GANs With Constrained Latent Representations
Learning Metrics From Teachers: Compact Networks for Image Embedding
Activity Driven Weakly Supervised Object Detection
Separate to Adapt: Open Set Domain Adaptation via Progressive Separation
Layout-Graph Reasoning for Fashion Landmark Detection
DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs
Mind Your Neighbours: Image Annotation With Metadata Neighbourhood Graph Co-Attention Networks
Region Proposal by Guided Anchoring
Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation
Learning to Transfer Examples for Partial Domain Adaptation
Generalized Zero-Shot Recognition Based on Visually Semantic Embedding
Towards Visual Feature Translation
Amodal Instance Segmentation With KINS Dataset
Global Second-Order Pooling Convolutional Networks
Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification From the Bottom Up
NetTailor: Tuning the Architecture, Not Just the Weights
Learning-Based Sampling for Natural Image Matting
Learning Unsupervised Video Object Segmentation Through Visual Attention
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
Pyramid Feature Attention Network for Saliency Detection
Co-Saliency Detection via Mask-Guided Fully Convolutional Networks With Multi-Scale Label Smoothing
SAIL-VOS: Semantic Amodal Instance Level Video Object Segmentation - A Synthetic Dataset and Baselines
Learning Instance Activation Maps for Weakly Supervised Instance Segmentation
Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation
Box-Driven Class-Wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation
Dual Attention Network for Scene Segmentation
InverseRenderNet: Learning Single Image Inverse Rendering
A Variational Auto-Encoder Model for Stochastic Point Processes
Unifying Heterogeneous Classifiers With Distillation
Assessment of Faster R-CNN in Man-Machine Collaborative Search
OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge
NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction
Spectral Metric for Dataset Complexity Assessment
ADCrowdNet: An Attention-Injective Deformable Convolutional Network for Crowd Understanding
VERI-Wild: A Large Dataset and a New Method for Vehicle Re-Identification in the Wild
3D Local Features for Direct Pairwise Registration
HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-Scale Point Clouds
GPSfM: Global Projective SFM Using Algebraic Constraints on Multi-View Fundamental Matrices
Group-Wise Correlation Stereo Network
Multi-Level Context Ultra-Aggregation for Stereo Matching
Large-Scale, Metric Structure From Motion for Unordered Light Fields
Understanding the Limitations of CNN-Based Absolute Camera Pose Regression
DeepLiDAR: Deep Surface Normal Guided Depth Prediction for Outdoor Scene From Sparse LiDAR Data and Single Color Image
Modeling Point Clouds With Self-Attention and Gumbel Subset Sampling
Learning With Batch-Wise Optimal Transport Loss for 3D Shape Recognition
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
Dense Depth Posterior (DDP) From Single Image and Sparse Range
DuLa-Net: A Dual-Projection Network for Estimating Room Layouts From a Single RGB Panorama
Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach
Segmentation-Driven 6D Object Pose Estimation
Exploiting Temporal Context for 3D Human Pose Estimation in the Wild
What Do Single-View 3D Reconstruction Networks Learn?
UniformFace: Learning Deep Equidistributed Representation for Face Recognition
Semantic Graph Convolutional Networks for 3D Human Pose Regression
Mask-Guided Portrait Editing With Conditional GANs
Group Sampling for Scale Invariant Face Detection
Joint Representation and Estimator Learning for Facial Action Unit Intensity Estimation
Semantic Alignment: Finding Semantically Consistent Ground-Truth for Facial Landmark Detection
LAEO-Net: Revisiting People Looking at Each Other in Videos
Robust Facial Landmark Detection via Occlusion-Adaptive Deep Networks
Learning Individual Styles of Conversational Gesture
Face Anti-Spoofing: Model Matters, so Does Data
Fast Human Pose Estimation
Decorrelated Adversarial Learning for Age-Invariant Face Recognition
Cross-Task Weakly Supervised Learning From Instructional Videos
D3TW: Discriminative Differentiable Dynamic Time Warping for Weakly Supervised Action Alignment and Segmentation
Progressive Teacher-Student Learning for Early Action Prediction
Social Relation Recognition From Videos via Multi-Scale Spatial-Temporal Reasoning
MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation
Transferable Interactiveness Knowledge for Human-Object Interaction Detection
Actional-Structural Graph Convolutional Networks for Skeleton-Based Action Recognition
Multi-Granularity Generator for Temporal Action Proposal
Deep Rigid Instance Scene Flow
See More, Know More: Unsupervised Video Object Segmentation With Co-Attention Siamese Networks
Patch-Based Discriminative Feature Learning for Unsupervised Person Re-Identification
SPM-Tracker: Series-Parallel Matching for Real-Time Visual Object Tracking
Spatial Fusion GAN for Image Synthesis
Text Guided Person Image Synthesis
STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing
Towards Instance-Level Image-To-Image Translation
Dense Intrinsic Appearance Flow for Human Pose Transfer
Depth-Aware Video Frame Interpolation
Sliced Wasserstein Generative Models
Deep Flow-Guided Video Inpainting
Video Generation From Single Semantic Label Map
Polarimetric Camera Calibration Using an LCD Monitor
Fully Automatic Video Colorization With Self-Regularization and Diversity
Zoom to Learn, Learn to Zoom
Single Image Reflection Removal Beyond Linearity
Learning to Separate Multiple Illuminants in a Single Image
Shape Unicode: A Unified Shape Representation
Robust Video Stabilization by Optimization in CNN Weight Space
Learning Linear Transformations for Fast Image and Video Style Transfer
Local Detection of Stereo Occlusion Boundaries
Bi-Directional Cascade Network for Perceptual Edge Detection
Single Image Deraining: A Comprehensive Benchmark Analysis
Dynamic Scene Deblurring With Parameter Selective Sharing and Nested Skip Connections
Events-To-Video: Bringing Modern Computer Vision to Event Cameras
Feedback Network for Image Super-Resolution
Semi-Supervised Transfer Learning for Image Rain Removal
EventNet: Asynchronous Recursive Event Processing
Recurrent Back-Projection Network for Video Super-Resolution
Cascaded Partial Decoder for Fast and Accurate Salient Object Detection
A Simple Pooling-Based Design for Real-Time Salient Object Detection
Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection
Progressive Image Deraining Networks: A Better and Simpler Baseline
GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud
Attentive Relational Networks for Mapping Images to Scene Graphs
Relational Knowledge Distillation
Compressing Convolutional Neural Networks via Factorized Convolutional Filters
On the Intrinsic Dimensionality of Image Representations
Part-Regularized Near-Duplicate Vehicle Re-Identification
Self-Supervised Spatio-Temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics
Classification-Reconstruction Learning for Open-Set Recognition
Emotion-Aware Human Attention Prediction
Residual Regression With Semantic Prior for Crowd Counting
Context-Reinforced Semantic Segmentation
Adversarial Structure Matching for Structured Prediction Tasks
Deep Spectral Clustering Using Dual Autoencoder Network
Deep Asymmetric Metric Learning via Rich Relationship Mining
Did It Change? Learning to Detect Point-Of-Interest Changes for Proactive Map Updates
Associatively Segmenting Instances and Semantics in Point Clouds
Pattern-Affinitive Propagation Across Depth, Surface Normal and Semantic Segmentation
Scene Categorization From Contours: Medial Axis Based Salience Measures
Unsupervised Image Captioning
Exact Adversarial Attack to Image Captioning via Structured Output Learning With Latent Variables
Cross-Modal Relationship Inference for Grounding Referring Expressions
What’s to Know? Uncertainty as a Guide to Asking Goal-Oriented Questions
Iterative Alignment Network for Continuous Sign Language Recognition
Neural Sequential Phrase Grounding (SeqGROUND)
CLEVR-Ref+: Diagnosing Visual Reasoning With Referring Expressions
Describing Like Humans: On Diversity in Image Captioning
MSCap: Multi-Style Image Captioning With Unpaired Stylized Text
CRAVES: Controlling Robotic Arm With a Vision-Based Economic System
Networks for Joint Affine and Non-Parametric Image Registration
Learning Shape-Aware Embedding for Scene Text Detection
Learning to Film From Professional Human Motion Videos
Pay Attention! - Robustifying a Deep Visuomotor Policy Through Task-Focused Visual Attention
Deep Blind Video Decaptioning by Temporal Aggregation and Recurrence
Learning Video Representations From Correspondence Proposals
SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks
Sphere Generative Adversarial Network Based on Geometric Moment Matching
Adversarial Attacks Beyond the Image Space
Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses
A General and Adaptive Robust Loss Function
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration
Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss
Not All Areas Are Equal: Transfer Learning for Semantic Segmentation via Hierarchical Region Selection
Unsupervised Learning of Dense Shape Correspondence
Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach
Balanced Self-Paced Learning for Generative Adversarial Clustering Network
A Style-Based Generator Architecture for Generative Adversarial Networks
Parallel Optimal Transport GAN
3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans
Causes and Corrections for Bimodal Multi-Path Scanning With Structured Light
TextureNet: Consistent Local Parametrizations for Learning From High-Resolution Signals on Meshes
PlaneRCNN: 3D Plane Detection and Reconstruction From a Single Image
Occupancy Networks: Learning 3D Reconstruction in Function Space
3D Shape Reconstruction From Images in the Frequency Domain
SiCloPe: Silhouette-Based Clothed People
Detailed Human Shape Estimation From a Single Image by Hierarchical Mesh Deformation
Convolutional Mesh Regression for Single-Image Human Shape Reconstruction
H+O: Unified Egocentric Recognition of 3D Hand-Object Poses and Interactions
Learning the Depths of Moving People by Watching Frozen People
Extreme Relative Pose Estimation for RGB-D Scans via Scene Completion
A Skeleton-Bridged Deep Learning Approach for Generating Meshes of Complex Topologies From Single RGB Images
Learning Structure-And-Motion-Aware Rolling Shutter Correction
PVNet: Pixel-Wise Voting Network for 6DoF Pose Estimation
SelFlow: Self-Supervised Learning of Optical Flow
Taking a Deeper Look at the Inverse Compositional Algorithm
Deeper and Wider Siamese Networks for Real-Time Visual Tracking
Self-Supervised Adaptation of High-Fidelity Face Models for Monocular Performance Tracking
Diverse Generation for Multi-Agent Sports Games
Efficient Online Multi-Person 2D Pose Tracking With Recurrent Spatio-Temporal Affinity Fields
GFrames: Gradient-Based Local Reference Frame for 3D Shape Matching
Eliminating Exposure Bias and Metric Mismatch in Multiple Object Tracking
Graph Convolutional Tracking
ATOM: Accurate Tracking by Overlap Maximization
Visual Tracking via Adaptive Spatially-Regularized Correlation Filters
Deep Tree Learning for Zero-Shot Face Anti-Spoofing
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
Learning Joint Gait Representation via Quintuplet Loss Minimization
Gait Recognition via Disentangled Representation Learning
Reversible GANs for Memory-Efficient Image-To-Image Translation
Sensitive-Sample Fingerprinting of Deep Neural Networks
Soft Labels for Ordinal Regression
Local to Global Learning: Gradually Adding Classes for Training Deep Neural Networks
What Does It Mean to Learn in Deep Networks? And, How Does One Detect Adversarial Attacks?
Handwriting Recognition in Low-Resource Scripts Using Adversarial Learning
Adversarial Defense Through Network Profiling Based Path Extraction
RENAS: Reinforced Evolutionary Neural Architecture Search
Co-Occurrence Neural Network
SpotTune: Transfer Learning Through Adaptive Fine-Tuning
Signal-To-Noise Ratio: A Robust Distance Metric for Deep Metric Learning
Detection Based Defense Against Adversarial Examples From the Steganalysis Point of View
HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs
Strike (With) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects
Blind Geometric Distortion Correction on Images Through Deep Learning
Instance-Level Meta Normalization
Iterative Normalization: Beyond Standardization Towards Efficient Whitening
On Learning Density Aware Embeddings
Contrastive Adaptation Network for Unsupervised Domain Adaptation
LP-3DCNN: Unveiling Local Phase in 3D Convolutional Neural Networks
Attribute-Driven Feature Disentangling and Temporal Aggregation for Video Person Re-Identification
Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?
Distilling Object Detectors With Fine-Grained Feature Imitation
Centripetal SGD for Pruning Very Deep Convolutional Networks With Complicated Structure
Knockoff Nets: Stealing Functionality of Black-Box Models
Deep Embedding Learning With Discriminative Sampling Policy
Hybrid Task Cascade for Instance Segmentation
Multi-Task Self-Supervised Object Detection via Recycling of Bounding Box Annotations
ClusterNet: Deep Hierarchical Cluster Network With Rigorously Rotation-Invariant Representation for Point Cloud Analysis
Learning to Learn Relation for Important People Detection in Still Images
Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-Grained Image Recognition
Multi-Similarity Loss With General Pair Weighting for Deep Metric Learning
Domain-Symmetric Networks for Adversarial Domain Adaptation
End-To-End Supervised Product Quantization for Image Search and Retrieval
Learning to Learn From Noisy Labeled Data
DSFD: Dual Shot Face Detector
Label Propagation for Deep Semi-Supervised Learning
Deep Global Generalized Gaussian Networks
Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-Based Image Retrieval
Context-Aware Crowd Counting
Detect-To-Retrieve: Efficient Regional Aggregation for Image Search
Towards Accurate One-Stage Object Detection With AP-Loss
On Exploring Undetermined Relationships for Visual Relationship Detection
Learning Without Memorizing
Dynamic Recursive Neural Network
Destruction and Construction Learning for Fine-Grained Image Recognition
Distraction-Aware Shadow Detection
Multi-Label Image Recognition With Graph Convolutional Networks
High-Level Semantic Feature Detection: A New Perspective for Pedestrian Detection
RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection
Ranked List Loss for Deep Metric Learning
CANet: Class-Agnostic Segmentation Networks With Iterative Refinement and Attentive Few-Shot Learning
Precise Detection in Densely Packed Scenes
KE-GAN: Knowledge Embedded Generative Adversarial Networks for Semi-Supervised Scene Parsing
Fast User-Guided Video Object Segmentation by Interaction-And-Propagation Networks
Fast Interactive Object Annotation With Curve-GCN
FickleNet: Weakly and Semi-Supervised Semantic Image Segmentation Using Stochastic Inference
RVOS: End-To-End Recurrent Network for Video Object Segmentation
DeepFlux for Skeletons in the Wild
Interactive Image Segmentation via Backpropagating Refinement Scheme
Scene Parsing via Integrated Classification Model and Variance-Based Regularization
RAVEN: A Dataset for Relational and Analogical Visual REasoNing
Surface Reconstruction From Normals: A Robust DGP-Based Discontinuity Preservation Approach
DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images
Jumping Manifolds: Geometry Aware Dense Non-Rigid Structure From Motion
LVIS: A Dataset for Large Vocabulary Instance Segmentation
Fast Object Class Labelling via Speech
LaSOT: A High-Quality Benchmark for Large-Scale Single Object Tracking
Creative Flow+ Dataset
Weakly Supervised Open-Set Domain Adaptation by Dual-Domain Collaboration
A Neurobiological Evaluation Metric for Neural Network Model Search
Iterative Projection and Matching: Finding Structure-Preserving Representatives and Its Application to Computer Vision
Efficient Multi-Domain Learning by Covariance Normalization
Predicting Visible Image Differences Under Varying Display Brightness and Viewing Distance
A Bayesian Perspective on the Deep Image Prior
ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving
Compressing Unknown Images With Product Quantizer for Efficient Zero-Shot Classification
Self-Supervised Convolutional Subspace Clustering Network
Multi-Scale Geometric Consistency Guided Multi-View Stereo
Privacy Preserving Image-Based Localization
SimulCap : Single-View Human Performance Capture With Cloth Simulation
Hierarchical Deep Stereo Matching on High-Resolution Images
Recurrent MVSNet for High-Resolution Multi-View Stereo Depth Inference
Synthesizing 3D Shapes From Silhouette Image Collections Using Multi-Projection Generative Adversarial Networks
The Perfect Match: 3D Point Cloud Matching With Smoothed Densities
Recurrent Neural Network for (Un-)Supervised Learning of Monocular Video Visual Odometry and Depth
PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing
Scan2Mesh: From Unstructured Range Scans to 3D Meshes
Unsupervised Domain Adaptation for ToF Data Denoising With Adversarial Learning
Learning Independent Object Motion From Unlabelled Stereoscopic Videos
Learning Single-Image Depth From Videos Using Quality Assessment Networks
Learning 3D Human Dynamics From Video
Lending Orientation to Neural Networks for Cross-View Geo-Localization
Visual Localization by Learning Objects-Of-Interest Dense Match Regression
Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction
Face Parsing With RoI Tanh-Warping
Multi-Person Articulated Tracking With Spatial and Temporal Embeddings
Multi-Person Pose Estimation With Enhanced Channel-Wise and Spatial Information
A Compact Embedding for Facial Expression Similarity
Deep High-Resolution Representation Learning for Human Pose Estimation
Feature Transfer Learning for Face Recognition With Under-Represented Data
Unsupervised 3D Pose Estimation With Geometric Self-Supervision
Peeking Into the Future: Predicting Future Person Activities and Locations in Videos
Re-Identification With Consistent Attentive Siamese Networks
On the Continuity of Rotation Representations in Neural Networks
Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation
Inverse Discriminative Networks for Handwritten Signature Verification
Led3D: A Lightweight and Efficient Deep Approach to Recognizing Low-Quality 3D Faces
ROI Pooled Correlation Filters for Visual Tracking
Deep Video Inpainting
DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-To-Image Synthesis
Non-Adversarial Image Synthesis With Generative Latent Nearest Neighbors
Mixture Density Generative Adversarial Networks
SketchGAN: Joint Sketch Completion and Recognition With Generative Adversarial Network
Foreground-Aware Image Inpainting
Art2Real: Unfolding the Reality of Artworks via Semantically-Aware Image-To-Image Translation
Structure-Preserving Stereoscopic View Synthesis With Multi-Scale Adversarial Correlation Matching
DynTypo: Example-Based Dynamic Text Effects Transfer
Arbitrary Style Transfer With Style-Attentional Networks
Typography With Decor: Intelligent Text Style Transfer
RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion
Photo Wake-Up: 3D Character Animation From a Single Photo
DeepLight: Learning Illumination for Unconstrained Mobile Mixed Reality
Iterative Residual CNNs for Burst Photography Applications
Learning Implicit Fields for Generative Shape Modeling
Reliable and Efficient Image Cropping: A Grid Anchor Based Approach
Patch-Based Progressive 3D Point Set Upsampling
An Iterative and Cooperative Top-Down and Bottom-Up Inference Network for Salient Object Detection
Deep Stacked Hierarchical Multi-Patch Network for Image Deblurring
Turn a Silicon Camera Into an InGaAs Camera
Low-Rank Tensor Completion With a New Tensor Nuclear Norm Induced by Invertible Linear Transforms
Joint Representative Selection and Feature Learning: A Semi-Supervised Approach
The Domain Transform Solver
CapSal: Leveraging Captioning to Boost Semantics for Salient Object Detection
Phase-Only Image Based Kernel Estimation for Single Image Blind Deblurring
Hierarchical Discrete Distribution Decomposition for Match Density Estimation
FOCNet: A Fractional Optimal Control Network for Image Denoising
Orthogonal Decomposition Network for Pixel-Wise Binary Classification
Multi-Source Weak Supervision for Saliency Detection
ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples
Combinatorial Persistency Criteria for Multicut and Max-Cut
S4Net: Single Stage Salient-Instance Segmentation
A Decomposition Algorithm for the Sparse Generalized Eigenvalue Problem
Polynomial Representation for Persistence Diagram
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks
Cross-Atlas Convolution for Parameterization Invariant Learning on Textured Mesh Surface
Deep Surface Normal Estimation With Hierarchical RGB-D Fusion
Knowledge-Embedded Routing Network for Scene Graph Generation
An End-To-End Network for Panoptic Segmentation
Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Models
Marginalized Latent Semantic Encoder for Zero-Shot Learning
Scale-Adaptive Neural Dense Features: Learning via Hierarchical Context Aggregation
Unsupervised Embedding Learning via Invariant and Spreading Instance Feature
AOGNets: Compositional Grammatical Architectures for Deep Learning
A Robust Local Spectral Descriptor for Matching Non-Rigid Shapes With Incompatible Shape Structures
Context and Attribute Grounded Dense Captioning
Spot and Learn: A Maximum-Entropy Patch Sampler for Few-Shot Image Classification
Interpreting CNNs via Decision Trees
Dense Relational Captioning: Triple-Stream Networks for Relationship-Based Captioning
Deep Modular Co-Attention Networks for Visual Question Answering
Synthesizing Environment-Aware Activities via Activity Sketches
Self-Critical N-Step Training for Image Captioning
Multi-Target Embodied Question Answering
Visual Question Answering as Reading Comprehension
StoryGAN: A Sequential Conditional GAN for Story Visualization
Noise-Aware Unsupervised Deep Lidar-Stereo Fusion
Versatile Multiple Choice Learning and Its Application to Vision Computing
EV-Gait: Event-Based Robust Gait Recognition Using Dynamic Vision Sensors
ToothNet: Automatic Tooth Instance Segmentation and Identification From Cone Beam CT Images
Modularized Textual Grounding for Counterfactual Resilience
L3-Net: Towards Learning Based LiDAR Localization for Autonomous Driving
Panoptic Feature Pyramid Networks
Mask Scoring R-CNN
Reasoning-RCNN: Unifying Adaptive Global Reasoning Into Large-Scale Object Detection
Cross-Modality Personalization for Retrieval
Composing Text and Image for Image Retrieval - an Empirical Odyssey
Arbitrary Shape Scene Text Detection With Adaptive Text Region Representation
Adaptive NMS: Refining Pedestrian Detection in a Crowd
Point in, Box Out: Beyond Counting Persons in Crowds
Locating Objects Without Bounding Boxes
FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery
Mutual Learning of Complementary Networks via Residual Correction for Improving Semi-Supervised Classification
Sampling Techniques for Large-Scale Object Detection From Sparsely Annotated Objects
Curls & Whey: Boosting Black-Box Adversarial Attacks
Barrage of Random Transforms for Adversarially Robust Defense
Aggregation Cross-Entropy for Sequence Recognition
LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning
Few-Shot Learning With Localization in Realistic Settings
AdaGraph: Unifying Predictive and Continuous Domain Adaptation Through Graphs
Grounded Video Description
Streamlined Dense Video Captioning
Adversarial Inference for Multi-Sentence Video Description
Unified Visual-Semantic Embeddings: Bridging Vision and Language With Structured Meaning Representations
Learning to Compose Dynamic Tree Structures for Visual Contexts
Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation
Dynamic Fusion With Intra- and Inter-Modality Attention Flow for Visual Question Answering
Cycle-Consistency for Robust Visual Question Answering
Embodied Question Answering in Photorealistic Environments With Point Cloud Perception
Reasoning Visual Dialogs With Structural and Partial Observations
Recursive Visual Attention in Visual Dialog
Two Body Problem: Collaborative Visual Task Completion
GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering
Text2Scene: Generating Compositional Scenes From Textual Descriptions
From Recognition to Cognition: Visual Commonsense Reasoning
The Regretful Agent: Heuristic-Aided Navigation Through Progress Estimation
Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation
Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning
High Flux Passive Imaging With Single-Photon Sensors
Photon-Flooded Single-Photon 3D Cameras
Acoustic Non-Line-Of-Sight Imaging
Steady-State Non-Line-Of-Sight Imaging
A Theory of Fermat Paths for Non-Line-Of-Sight Shape Reconstruction
End-To-End Projector Photometric Compensation
Bringing a Blurry Frame Alive at High Frame-Rate With an Event Camera
Bringing Alive Blurred Moments
Learning to Synthesize Motion Blur
Underexposed Photo Enhancement Using Deep Illumination Estimation
Blind Visual Motif Removal From a Single Image
Non-Local Meets Global: An Integrated Paradigm for Hyperspectral Denoising
Neural Rerendering in the Wild
GeoNet: Deep Geodesic Networks for Point Cloud Analysis
MeshAdv: Adversarial Meshes for Visual Recognition
Fast Spatially-Varying Indoor Lighting Estimation
Neural Illumination: Lighting Prediction for Indoor Environments
Deep Sky Modeling for Single Image Outdoor Lighting Estimation
Bidirectional Learning for Domain Adaptation of Semantic Segmentation
Enhanced Bayesian Compression via Deep Reinforcement Learning
Strong-Weak Distribution Alignment for Adaptive Object Detection
MFAS: Multimodal Fusion Architecture Search
Disentangling Adversarial Robustness and Generalization
ShieldNets: Defending Against Adversarial Attacks Using Probabilistic Adversarial Robustness
Deeply-Supervised Knowledge Synergy
Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration
Probabilistic End-To-End Noise Correction for Learning With Noisy Labels
Attention-Guided Unified Network for Panoptic Segmentation
NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection
OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks
Semantically Aligned Bias Reducing Zero Shot Learning
Feature Space Perturbations Yield More Transferable Adversarial Examples
IGE-Net: Inverse Graphics Energy Networks for Human Pose Estimation and Single-View Reconstruction
Accelerating Convolutional Neural Networks via Activation Map Compression
Knowledge Distillation via Instance Relationship Graph
PPGNet: Learning Point-Pair Graph for Line Segment Detection
Building Detail-Sensitive Semantic Segmentation Networks With Polynomial Pooling
Variational Bayesian Dropout With a Hierarchical Prior
AANet: Attribute Attention Network for Person Re-Identifications
Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction
A Main/Subsidiary Network Framework for Simplifying Binary Neural Networks
PointNetLK: Robust & Efficient Point Cloud Registration Using PointNet
Few-Shot Adaptive Faster R-CNN
VRSTC: Occlusion-Free Video Person Re-Identification
Compact Feature Learning for Multi-Domain Image Classification
Adaptive Transfer Network for Cross-Domain Person Re-Identification
Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy
Moving Object Detection Under Discontinuous Change in Illumination Using Tensor Low-Rank and Invariant Sparse Decomposition
Pedestrian Detection With Autoregressive Network Phases
All You Need Is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification
Stochastic Class-Based Hard Example Mining for Deep Metric Learning
Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning
Towards Robust Curve Text Detection With Conditional Spatial Expansion
Revisiting Perspective Information for Efficient Crowd Counting
Towards Universal Object Detection by Domain Attention
Ensemble Deep Manifold Similarity Learning Using Hard Proxies
Quantization Networks
RES-PCA: A Scalable Approach to Recovering Low-Rank Matrices
Occlusion-Net: 2D/3D Occluded Keypoint Localization Using Graph Networks
Efficient Featurized Image Pyramid Network for Single Shot Detector
Multi-Task Multi-Sensor Fusion for 3D Object Detection
Domain-Specific Batch Normalization for Unsupervised Domain Adaptation
Grid R-CNN
MetaCleaner: Learning to Hallucinate Clean Representations for Noisy-Labeled Visual Recognition
Mapping, Localization and Path Planning for Image-Based Navigation Using Visual Features and Map
Triply Supervised Decoder Networks for Joint Detection and Segmentation
Leveraging the Invariant Side of Generative Zero-Shot Learning
Exploring the Bounds of the Utility of Context for Object Detection
A-CNN: Annularly Convolutional Neural Networks on Point Clouds
DARNet: Deep Active Ray Network for Building Segmentation
Point Cloud Oversegmentation With Graph-Structured Deep Metric Learning
Graphonomy: Universal Human Parsing via Graph Transfer Learning
Fitting Multiple Heterogeneous Models by Multi-Class Cascaded T-Linkage
A Late Fusion CNN for Digital Matting
BASNet: Boundary-Aware Salient Object Detection
ZigZagNet: Fusing Top-Down and Bottom-Up Context for Object Segmentation
Object Instance Annotation With Deep Extreme Level Set Evolution
Leveraging Crowdsourced GPS Data for Road Extraction From Aerial Imagery
Adaptive Pyramid Context Network for Semantic Segmentation
Isospectralization, or How to Hear Shape, Style, and Correspondence
Speech2Face: Learning the Face Behind a Voice
Joint Manifold Diffusion for Combining Predictions on Decoupled Observations
Audio Visual Scene-Aware Dialog
Learning to Minify Photometric Stereo
Reflective and Fluorescent Separation Under Narrow-Band Illumination
Depth From a Polarisation + RGB Stereo Pair
Rethinking the Evaluation of Video Summaries
What Object Should I Use? - Task Driven Object Detection
Triangulation Learning Network: From Monocular to Stereo 3D Object Detection
Connecting the Dots: Learning Representations for Active Monocular Depth Estimation
Learning Non-Volumetric Depth Fusion Using Successive Reprojections
Stereo R-CNN Based 3D Object Detection for Autonomous Driving
Hybrid Scene Compression for Visual Localization
MMFace: A Multi-Metric Regression Network for Unconstrained Face Reconstruction
3D Motion Decomposition for RGBD Future Dynamic Scene Synthesis
Single Image Depth Estimation Trained via Depth From Defocus Cues
RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion
Neural Scene Decomposition for Multi-Person Motion Capture
Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition
FA-RPN: Floating Region Proposals for Face Detection
Bayesian Hierarchical Dynamic Model for Human Action Recognition
Mixed Effects Neural Networks (MeNets) With Applications to Gaze Estimation
3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised Training
Learning to Regress 3D Face Shape and Expression From an Image Without 3D Supervision
PoseFix: Model-Agnostic General Human Pose Refinement Network
RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation
Fast and Robust Multi-Person 3D Pose Estimation From Multiple Views
Face-Focused Cross-Stream Network for Deception Detection in Videos
Unequal-Training for Deep Face Recognition With Long-Tailed Noisy Data
T-Net: Parametrizing Fully Convolutional Nets With a Single High-Order Tensor
Hierarchical Cross-Modal Talking Face Generation With Dynamic Pixel-Wise Loss
Object-Centric Auto-Encoders and Dummy Anomalies for Abnormal Event Detection in Video
DDLSTM: Dual-Domain LSTM for Cross-Dataset Action Recognition
The Pros and Cons: Rank-Aware Temporal Attention for Skill Determination in Long Videos
Collaborative Spatiotemporal Feature Learning for Video Action Recognition
MARS: Motion-Augmented RGB Stream for Action Recognition
Convolutional Relational Machine for Group Activity Recognition
Video Summarization by Learning From Unpaired Data
Skeleton-Based Action Recognition With Directed Graph Neural Networks
PA3D: Pose-Action 3D Machine for Video Recognition
Deep Dual Relation Modeling for Egocentric Interaction Recognition
MOTS: Multi-Object Tracking and Segmentation
Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking
PointFlowNet: Learning Representations for Rigid Motion Estimation From Point Clouds
Listen to the Image
Image Super-Resolution by Neural Texture Transfer
Conditional Adversarial Generative Flow for Controllable Image Synthesis
How to Make a Pizza: Learning a Compositional Layer-Based GAN Model
TransGaGa: Geometry-Aware Unsupervised Image-To-Image Translation
Depth-Attentional Features for Single-Image Rain Removal
Hyperspectral Image Reconstruction Using a Deep Spatial-Spectral Prior
LiFF: Light Field Features in Scale and Depth
Deep Exemplar-Based Video Colorization
On Finding Gray Pixels
UnOS: Unified Unsupervised Optical-Flow and Stereo-Depth Estimation by Watching Videos
Learning Transformation Synchronization
D2-Net: A Trainable CNN for Joint Description and Detection of Local Features
Recurrent Neural Networks With Intra-Frame Iterations for Video Deblurring
Learning to Extract Flawless Slow Motion From Blurry Videos
Natural and Realistic Single Image Super-Resolution With Explicit Natural Manifold Discrimination
RF-Net: An End-To-End Image Matching Network Based on Receptive Field
Fast Single Image Reflection Suppression via Convex Optimization
A Mutual Learning Method for Salient Object Detection With Intertwined Multi-Supervision
Enhanced Pix2pix Dehazing Network
Assessing Personally Perceived Image Quality via Image Features and Collaborative Filtering
Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements
Exploring Context and Visual Pattern of Relationship for Scene Graph Generation
Learning From Synthetic Data for Crowd Counting in the Wild
A Local Block Coordinate Descent Algorithm for the CSC Model
Not Using the Car to See the Sidewalk – Quantifying and Controlling the Effects of Context in Classification and Segmentation
Discovering Fair Representations in the Data Domain
Actor-Critic Instance Segmentation
Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders
Semantic Projection Network for Zero- and Few-Label Semantic Segmentation
GCAN: Graph Convolutional Adversarial Network for Unsupervised Domain Adaptation
Seamless Scene Segmentation
Unsupervised Image Matching and Object Discovery as Optimization
Wide-Area Crowd Counting via Ground-Plane Density Maps and Multi-View Fusion CNNs
Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions
Towards VQA Models That Can Read
Object-Aware Aggregation With Bidirectional Temporal Graph for Video Captioning
Progressive Attention Memory Network for Movie Story Question Answering
Memory-Attended Recurrent Network for Video Captioning
Visual Query Answering by Entity-Attribute Graph Matching and Reasoning
Look Back and Predict Forward in Image Captioning
Explainable and Explicit Visual Reasoning Over Scene Graphs
Transfer Learning via Unsupervised Task Discovery for Visual Question Answering
Intention Oriented Image Captions With Guiding Objects
Uncertainty Guided Multi-Scale Residual Learning-Using a Cycle Spinning CNN for Single Image De-Raining
Toward Realistic Image Compositing With Adversarial Learning
Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics
Deep ChArUco: Dark ChArUco Marker Pose Estimation
Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving
Rules of the Road: Predicting Driving Behavior With a Convolutional Model of Semantic Interactions
Metric Learning for Image Registration
LO-Net: Deep Real-Time Lidar Odometry
TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions
World From Blur
Topology Reconstruction of Tree-Like Structure in Images via Structural Similarity Measure and Dominant Set Clustering
Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training
Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning From Radiology Reports and Label Ontology
Robust Histopathology Image Analysis: To Label or to Synthesize?
Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation
Shifting More Attention to Video Salient Object Detection
Neural Task Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration
Beyond Tracking: Selecting Memory and Refining Poses for Deep Visual Odometry
Image Generation From Layout
Multimodal Explanations by Predicting Counterfactuality in Videos
Learning to Explain With Complemental Examples
HAQ: Hardware-Aware Automated Quantization With Mixed Precision
Content Authentication for Neural Imaging Pipelines: End-To-End Optimization of Photo Provenance in Complex Distribution Channels
Inverse Procedural Modeling of Knitwear
Estimating 3D Motion and Forces of Person-Object Interactions From Monocular Video
DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds
End-To-End Interpretable Neural Motion Planner
Divergence Triangle for Joint Training of Generator Model, Energy-Based Model, and Inferential Model
Image Deformation Meta-Networks for One-Shot Learning
Online High Rank Matrix Completion
Multispectral Imaging for Fine-Grained Recognition of Powders on Complex Backgrounds
ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging
Robust Subspace Clustering With Independent and Piecewise Identically Distributed Noise Modeling
What Correspondences Reveal About Unknown Camera and Motion Models?
Self-Calibrating Deep Photometric Stereo Networks
Argoverse: 3D Tracking and Forecasting With Rich Maps
Side Window Filtering
Defense Against Adversarial Images Using Web-Scale Nearest-Neighbor Search
Incremental Object Learning From Contiguous Views
IP102: A Large-Scale Benchmark Dataset for Insect Pest Recognition
CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification
Social-IQ: A Question Answering Benchmark for Artificial Social Intelligence
UPSNet: A Unified Panoptic Segmentation Network
JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds With Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields
Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth
DeepCO3: Deep Instance Co-Segmentation by Co-Peak Search and Co-Saliency Detection
Improving Semantic Segmentation via Video Propagation and Label Relaxation
Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video
Shape2Motion: Joint Analysis of Motion Parts and Attributes From 3D Shapes
Semantic Correlation Promoted Shape-Variant Context for Segmentation
Relation-Shape Convolutional Neural Network for Point Cloud Analysis
Enhancing Diversity of Defocus Blur Detectors via Cross-Ensemble Network
BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames
Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images
Efficient Parameter-Free Clustering Using First Neighbor Relations
Learning Personalized Modular Network Guided by Structured Knowledge
A Generative Appearance Model for End-To-End Video Object Segmentation
A Flexible Convolutional Solver for Fast Style Transfers
Cross Domain Model Compression by Structurally Weight Sharing
TraVeLGAN: Image-To-Image Translation by Transformation Vector Learning
Deep Robust Subjective Visual Property Prediction in Crowdsourcing
Transferable AutoML by Model Sharing Over Grouped Datasets
Learning Not to Learn: Training Deep Neural Networks With Biased Data
IRLAS: Inverse Reinforcement Learning for Architecture Search
Learning for Single-Shot Confidence Calibration in Deep Neural Networks Through Stochastic Inferences
Attention-Based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions
Fully Learnable Group Convolution for Acceleration of Deep Neural Networks
EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching From Scratch
Deep Incremental Hashing Network for Efficient Image Retrieval
Robustness via Curvature Regularization, and Vice Versa
SparseFool: A Few Pixels Make a Big Difference
Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks
Structured Pruning of Neural Networks With Budget-Aware Regularization
MBS: Macroblock Scaling for CNN Model Reduction
Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells
Generating 3D Adversarial Point Clouds
Partial Order Pruning: For Best Speed/Accuracy Trade-Off in Neural Architecture Search
Memory in Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity From Spatiotemporal Dynamics
Variational Information Distillation for Knowledge Transfer
You Look Twice: GaterNet for Dynamic Filter Selection in CNNs
SpherePHD: Applying CNNs on a Spherical PolyHeDron Representation of 360deg Images
ESPNetv2: A Light-Weight, Power Efficient, and General Purpose Convolutional Neural Network
Assisted Excitation of Activations: A Learning Technique to Improve Object Detectors
Exploiting Edge Features for Graph Neural Networks
Propagation Mechanism for Deep and Wide Neural Networks
Catastrophic Child’s Play: Easy to Perform, Hard to Defend Adversarial Attacks
Embedding Complementary Deep Networks for Image Classification
Deep Multimodal Clustering for Unsupervised Audiovisual Learning
Dense Classification and Implanting for Few-Shot Learning
Class-Balanced Loss Based on Effective Number of Samples
Discovering Visual Patterns in Art Collections With Spatially-Consistent Feature Learning
Min-Max Statistical Alignment for Transfer Learning
Spatial-Aware Graph Relation Network for Large-Scale Object Detection
Deformable ConvNets V2: More Deformable, Better Results
Interaction-And-Aggregation Network for Person Re-Identification
Rare Event Detection Using Disentangled Representation Learning
Shape Robust Text Detection With Progressive Scale Expansion Network
Dual Encoding for Zero-Example Video Retrieval
MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors
Character Region Awareness for Text Detection
Effective Aesthetics Prediction With Multi-Level Spatially Pooled Features
Attentive Region Embedding Network for Zero-Shot Learning
Explicit Spatial Encoding for Deep Local Descriptors
Panoptic Segmentation
You Reap What You Sow: Using Videos to Generate High Precision Object Proposals for Weakly-Supervised Object Detection
Explore-Exploit Graph Traversal for Image Retrieval
Dissimilarity Coefficient Based Weakly Supervised Object Detection
Kernel Transformer Networks for Compact Spherical Convolution
Object Detection With Location-Aware Deformable Convolution and Backward Attention Filtering
Variational Prototyping-Encoder: One-Shot Learning With Prototypical Images
Unsupervised Domain Adaptation Using Feature-Whitening and Consensus Loss
FEELVOS: Fast End-To-End Embedding Learning for Video Object Segmentation
PartNet: A Recursive Part Decomposition Network for Fine-Grained and Hierarchical Shape Segmentation
Learning Multi-Class Segmentations From Single-Class Datasets
Convolutional Recurrent Network for Road Boundary Extraction
DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation
A Cross-Season Correspondence Dataset for Robust Semantic Segmentation
ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features
On Zero-Shot Recognition of Generic Objects
Explicit Bias Discovery in Visual Question Answering Models
REPAIR: Removing Representation Bias by Dataset Resampling
Label Efficient Semi-Supervised Learning via Graph Filtering
MVTec AD – A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection
ABC: A Big CAD Model Dataset for Geometric Deep Learning
Tightness-Aware Evaluation Protocol for Scene Text Detection
PointConv: Deep Convolutional Networks on 3D Point Clouds
Octree Guided CNN With Spherical Kernels for 3D Point Clouds
VITAMIN-E: VIsual Tracking and MappINg With Extremely Dense Feature Points
Conditional Single-View Shape Generation for Multi-View Stereo Reconstruction
Learning to Adapt for Stereo
3D Appearance Super-Resolution With Deep Learning
Radial Distortion Triangulation
Robust Point Cloud Based Reconstruction of Large-Scale Outdoor Scenes
Minimal Solvers for Mini-Loop Closures in 3D Multi-Scan Alignment
Volumetric Capture of Humans With a Single RGBD Camera via Semi-Parametric Learning
Joint Face Detection and Facial Motion Retargeting for Multiple Faces
Monocular Depth Estimation Using Relative Depth Maps
Unsupervised Primitive Discovery for Improved 3D Generative Modeling
Learning to Explore Intrinsic Saliency for Stereoscopic Video
Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on N-Spheres
Refine and Distill: Exploiting Cycle-Inconsistency and Knowledge Distillation for Unsupervised Monocular Depth Estimation
Learning View Priors for Single-View 3D Reconstruction
Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation
Learning Monocular Depth Estimation Infusing Traditional Stereo Knowledge
SIGNet: Semantic Instance Aided Unsupervised 3D Geometry Perception
3D Guided Fine-Grained Face Manipulation
Neuro-Inspired Eye Tracking With Eye Movement Dynamics
Facial Emotion Distribution Learning by Exploiting Low-Rank Label Correlations Locally
Unsupervised Face Normalization With Extreme Pose and Expression in the Wild

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