CVPR 2017 paper

参考链接

CVPR 2017 open access

Paperlist

Graph-Structured Representations for Visual Question Answering
Physics Inspired Optimization on Semantic Transfer Features: An Alternative Method for Room Layout Estimation
Local Binary Convolutional Neural Networks
Designing Effective Inter-Pixel Information Flow for Natural Image Matting
Face Normals "In-The-Wild" Using Fully Convolutional Networks
3D Face Morphable Models "In-The-Wild"
Towards a Quality Metric for Dense Light Fields
Position Tracking for Virtual Reality Using Commodity WiFi
Material Classification Using Frequency- and Depth-Dependent Time-Of-Flight Distortion
Learning by Association -- A Versatile Semi-Supervised Training Method for Neural Networks
A Non-Convex Variational Approach to Photometric Stereo Under Inaccurate Lighting
Learning From Synthetic Humans
Correlational Gaussian Processes for Cross-Domain Visual Recognition
Revisiting the Variable Projection Method for Separable Nonlinear Least Squares Problems
Learning to Detect Salient Objects With Image-Level Supervision
Binary Coding for Partial Action Analysis With Limited Observation Ratios
Temporal Convolutional Networks for Action Segmentation and Detection
DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data
Template Matching With Deformable Diversity Similarity
Surface Motion Capture Transfer With Gaussian Process Regression
Generating Holistic 3D Scene Abstractions for Text-Based Image Retrieval
Unsupervised Video Summarization With Adversarial LSTM Networks
SphereFace: Deep Hypersphere Embedding for Face Recognition
One-Shot Video Object Segmentation
SGM-Nets: Semi-Global Matching With Neural Networks
What's in a Question: Using Visual Questions as a Form of Supervision
Context-Aware Captions From Context-Agnostic Supervision
Polyhedral Conic Classifiers for Visual Object Detection and Classification
Unsupervised Monocular Depth Estimation With Left-Right Consistency
Compact Matrix Factorization With Dependent Subspaces
Deep Reinforcement Learning-Based Image Captioning With Embedding Reward
Dual Attention Networks for Multimodal Reasoning and Matching
Exploiting 2D Floorplan for Building-Scale Panorama RGBD Alignment
A Hierarchical Approach for Generating Descriptive Image Paragraphs
Visual Dialog
DESIRE: Distant Future Prediction in Dynamic Scenes With Interacting Agents
Mining Object Parts From CNNs via Active Question-Answering
Multi-Way Multi-Level Kernel Modeling for Neuroimaging Classification
Low-Rank Bilinear Pooling for Fine-Grained Classification
Knowing When to Look: Adaptive Attention via a Visual Sentinel for Image Captioning
Learning Deep Context-Aware Features Over Body and Latent Parts for Person Re-Identification
Turning an Urban Scene Video Into a Cinemagraph
Beyond Triplet Loss: A Deep Quadruplet Network for Person Re-Identification
Surveillance Video Parsing With Single Frame Supervision
Semantically Coherent Co-Segmentation and Reconstruction of Dynamic Scenes
Transition Forests: Learning Discriminative Temporal Transitions for Action Recognition and Detection
Pixelwise Instance Segmentation With a Dynamically Instantiated Network
Video Propagation Networks
Global Hypothesis Generation for 6D Object Pose Estimation
Dilated Residual Networks
Robust Interpolation of Correspondences for Large Displacement Optical Flow
Supervising Neural Attention Models for Video Captioning by Human Gaze Data
Modeling Temporal Dynamics and Spatial Configurations of Actions Using Two-Stream Recurrent Neural Networks
Self-Learning Scene-Specific Pedestrian Detectors Using a Progressive Latent Model
Oriented Response Networks
Video Acceleration Magnification
IRINA: Iris Recognition (Even) in Inaccurately Segmented Data
Forecasting Human Dynamics From Static Images
Discriminative Bimodal Networks for Visual Localization and Detection With Natural Language Queries
A Linear Extrinsic Calibration of Kaleidoscopic Imaging System From Single 3D Point
Efficient Multiple Instance Metric Learning Using Weakly Supervised Data
Asynchronous Temporal Fields for Action Recognition
Scene Flow to Action Map: A New Representation for RGB-D Based Action Recognition With Convolutional Neural Networks
A Point Set Generation Network for 3D Object Reconstruction From a Single Image
Automatic Discovery, Association Estimation and Learning of Semantic Attributes for a Thousand Categories
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution
Scene Parsing Through ADE20K Dataset
WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
L2-Net: Deep Learning of Discriminative Patch Descriptor in Euclidean Space
Video Frame Interpolation via Adaptive Convolution
Crossing Nets: Combining GANs and VAEs With a Shared Latent Space for Hand Pose Estimation
Attention-Aware Face Hallucination via Deep Reinforcement Learning
Neural Scene De-Rendering
Deep TEN: Texture Encoding Network
PolyNet: A Pursuit of Structural Diversity in Very Deep Networks
Object Detection in Videos With Tubelet Proposal Networks
AMVH: Asymmetric Multi-Valued Hashing
Real-Time 3D Model Tracking in Color and Depth on a Single CPU Core
Weakly Supervised Action Learning With RNN Based Fine-To-Coarse Modeling
Differential Angular Imaging for Material Recognition
Forecasting Interactive Dynamics of Pedestrians With Fictitious Play
Real-Time Neural Style Transfer for Videos
Incremental Kernel Null Space Discriminant Analysis for Novelty Detection
Self-Calibration-Based Approach to Critical Motion Sequences of Rolling-Shutter Structure From Motion
Recurrent 3D Pose Sequence Machines
Efficient Solvers for Minimal Problems by Syzygy-Based Reduction
Conditional Similarity Networks
Learning From Noisy Large-Scale Datasets With Minimal Supervision
Deep Variation-Structured Reinforcement Learning for Visual Relationship and Attribute Detection
Convolutional Random Walk Networks for Semantic Image Segmentation
Predicting Ground-Level Scene Layout From Aerial Imagery
Simple Does It: Weakly Supervised Instance and Semantic Segmentation
Fast Fourier Color Constancy
Attend to You: Personalized Image Captioning With Context Sequence Memory Networks
Scalable Surface Reconstruction From Point Clouds With Extreme Scale and Density Diversity
Weakly Supervised Cascaded Convolutional Networks
Exclusivity-Consistency Regularized Multi-View Subspace Clustering
Look Into Person: Self-Supervised Structure-Sensitive Learning and a New Benchmark for Human Parsing
Semi-Calibrated Near Field Photometric Stereo
Finding Tiny Faces
Visual-Inertial-Semantic Scene Representation for 3D Object Detection
ActionVLAD: Learning Spatio-Temporal Aggregation for Action Classification
Predictive-Corrective Networks for Action Detection
FastMask: Segment Multi-Scale Object Candidates in One Shot
A Combinatorial Solution to Non-Rigid 3D Shape-To-Image Matching
Interpretable Structure-Evolving LSTM
Generating the Future With Adversarial Transformers
Budget-Aware Deep Semantic Video Segmentation
Spatially Adaptive Computation Time for Residual Networks
Order-Preserving Wasserstein Distance for Sequence Matching
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction
SRN: Side-output Residual Network for Object Symmetry Detection in the Wild
Spindle Net: Person Re-Identification With Human Body Region Guided Feature Decomposition and Fusion
Borrowing Treasures From the Wealthy: Deep Transfer Learning Through Selective Joint Fine-Tuning
Unified Embedding and Metric Learning for Zero-Exemplar Event Detection
A Practical Method for Fully Automatic Intrinsic Camera Calibration Using Directionally Encoded Light
Modeling Relationships in Referential Expressions With Compositional Modular Networks
Image-To-Image Translation With Conditional Adversarial Networks
Counting Everyday Objects in Everyday Scenes
Hand Keypoint Detection in Single Images Using Multiview Bootstrapping
Knowledge Acquisition for Visual Question Answering via Iterative Querying
Few-Shot Object Recognition From Machine-Labeled Web Images
The VQA-Machine: Learning How to Use Existing Vision Algorithms to Answer New Questions
Learning Deep Binary Descriptor With Multi-Quantization
Joint Discriminative Bayesian Dictionary and Classifier Learning
A Graph Regularized Deep Neural Network for Unsupervised Image Representation Learning
HSfM: Hybrid Structure-from-Motion
Perceptual Generative Adversarial Networks for Small Object Detection
Deep Roots: Improving CNN Efficiency With Hierarchical Filter Groups
Anti-Glare: Tightly Constrained Optimization for Eyeglass Reflection Removal
Xception: Deep Learning With Depthwise Separable Convolutions
Learning Detailed Face Reconstruction From a Single Image
Stereo-Based 3D Reconstruction of Dynamic Fluid Surfaces by Global Optimization
Deep Video Deblurring for Hand-Held Cameras
Accurate Optical Flow via Direct Cost Volume Processing
Weakly Supervised Actor-Action Segmentation via Robust Multi-Task Ranking
Feedback Networks
Re-Ranking Person Re-Identification With k-Reciprocal Encoding
Deep Visual-Semantic Quantization for Efficient Image Retrieval
Sequential Person Recognition in Photo Albums With a Recurrent Network
ViP-CNN: Visual Phrase Guided Convolutional Neural Network
Deep Joint Rain Detection and Removal From a Single Image
Person Re-Identification in the Wild
Deep Self-Taught Learning for Weakly Supervised Object Localization
KillingFusion: Non-Rigid 3D Reconstruction Without Correspondences
Context-Aware Correlation Filter Tracking
Missing Modalities Imputation via Cascaded Residual Autoencoder
Disentangled Representation Learning GAN for Pose-Invariant Face Recognition
Discretely Coding Semantic Rank Orders for Supervised Image Hashing
NID-SLAM: Robust Monocular SLAM Using Normalised Information Distance
Efficient Optimization for Hierarchically-structured Interacting Segments (HINTS)
SCC: Semantic Context Cascade for Efficient Action Detection
Semantic Amodal Segmentation
Deep Sequential Context Networks for Action Prediction
Comparative Evaluation of Hand-Crafted and Learned Local Features
Aggregated Residual Transformations for Deep Neural Networks
Predicting Behaviors of Basketball Players From First Person Videos
Synthesizing 3D Shapes via Modeling Multi-View Depth Maps and Silhouettes With Deep Generative Networks
Memory-Augmented Attribute Manipulation Networks for Interactive Fashion Search
Spatiotemporal Pyramid Network for Video Action Recognition
Reconstructing Transient Images From Single-Photon Sensors
Dynamic Facial Analysis: From Bayesian Filtering to Recurrent Neural Network
Polarimetric Multi-View Stereo
Object Region Mining With Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach
MIML-FCN+: Multi-Instance Multi-Label Learning via Fully Convolutional Networks With Privileged Information
Benchmarking Denoising Algorithms With Real Photographs
A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial Problems
A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching
A Message Passing Algorithm for the Minimum Cost Multicut Problem
From Zero-Shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis
Are Large-Scale 3D Models Really Necessary for Accurate Visual Localization?
Global Context-Aware Attention LSTM Networks for 3D Action Recognition
Hierarchical Boundary-Aware Neural Encoder for Video Captioning
Emotion Recognition in Context
Deep Learning of Human Visual Sensitivity in Image Quality Assessment Framework
Learning Non-Lambertian Object Intrinsics Across ShapeNet Categories
Collaborative Deep Reinforcement Learning for Joint Object Search
Automatic Understanding of Image and Video Advertisements
FFTLasso: Large-Scale LASSO in the Fourier Domain
Multi-Modal Mean-Fields via Cardinality-Based Clamping
A Unified Approach of Multi-Scale Deep and Hand-Crafted Features for Defocus Estimation
Semantic Scene Completion From a Single Depth Image
Fine-To-Coarse Global Registration of RGB-D Scans
Universal Adversarial Perturbations
Saliency Revisited: Analysis of Mouse Movements Versus Fixations
Online Summarization via Submodular and Convex Optimization
From Red Wine to Red Tomato: Composition With Context
3DMatch: Learning Local Geometric Descriptors From RGB-D Reconstructions
Superpixel-Based Tracking-By-Segmentation Using Markov Chains
Quad-Networks: Unsupervised Learning to Rank for Interest Point Detection
Multi-Context Attention for Human Pose Estimation
Action Unit Detection With Region Adaptation, Multi-Labeling Learning and Optimal Temporal Fusing
Unsupervised Learning of Depth and Ego-Motion From Video
Joint Geometrical and Statistical Alignment for Visual Domain Adaptation
Jointly Learning Energy Expenditures and Activities Using Egocentric Multimodal Signals
Attend in Groups: A Weakly-Supervised Deep Learning Framework for Learning From Web Data
An Exact Penalty Method for Locally Convergent Maximum Consensus
StyleBank: An Explicit Representation for Neural Image Style Transfer
Multi-View 3D Object Detection Network for Autonomous Driving
Weakly Supervised Dense Video Captioning
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
General Models for Rational Cameras and the Case of Two-Slit Projections
Making Deep Neural Networks Robust to Label Noise: A Loss Correction Approach
Semantic Segmentation via Structured Patch Prediction, Context CRF and Guidance CRF
Deep Matching Prior Network: Toward Tighter Multi-Oriented Text Detection
Person Search With Natural Language Description
Analyzing Computer Vision Data - The Good, the Bad and the Ugly
3D Convolutional Neural Networks for Efficient and Robust Hand Pose Estimation From Single Depth Images
iCaRL: Incremental Classifier and Representation Learning
PoseTrack: Joint Multi-Person Pose Estimation and Tracking
Learning a Deep Embedding Model for Zero-Shot Learning
MCMLSD: A Dynamic Programming Approach to Line Segment Detection
Deep MANTA: A Coarse-To-Fine Many-Task Network for Joint 2D and 3D Vehicle Analysis From Monocular Image
Low-Rank Embedded Ensemble Semantic Dictionary for Zero-Shot Learning
Nonnegative Matrix Underapproximation for Robust Multiple Model Fitting
BIND: Binary Integrated Net Descriptors for Texture-Less Object Recognition
Efficient Diffusion on Region Manifolds: Recovering Small Objects With Compact CNN Representations
S2F: Slow-To-Fast Interpolator Flow
ChestX-ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases
Learning From Simulated and Unsupervised Images Through Adversarial Training
Feature Pyramid Networks for Object Detection
Loss Max-Pooling for Semantic Image Segmentation
Learned Contextual Feature Reweighting for Image Geo-Localization
On the Effectiveness of Visible Watermarks
Deep View Morphing
Designing Illuminant Spectral Power Distributions for Surface Classification
End-To-End Learning of Driving Models From Large-Scale Video Datasets
Unsupervised Visual-Linguistic Reference Resolution in Instructional Videos
Dense Captioning With Joint Inference and Visual Context
Unsupervised Learning of Long-Term Motion Dynamics for Videos
CLKN: Cascaded Lucas-Kanade Networks for Image Alignment
Agent-Centric Risk Assessment: Accident Anticipation and Risky Region Localization
ShapeOdds: Variational Bayesian Learning of Generative Shape Models
Expecting the Unexpected: Training Detectors for Unusual Pedestrians With Adversarial Imposters
ER3: A Unified Framework for Event Retrieval, Recognition and Recounting
Outlier-Robust Tensor PCA
Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation
SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation
Unrolling the Shutter: CNN to Correct Motion Distortions
Deep Level Sets for Salient Object Detection
Instance-Aware Image and Sentence Matching With Selective Multimodal LSTM
From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur
Deep Temporal Linear Encoding Networks
End-To-End Training of Hybrid CNN-CRF Models for Stereo
Deep Feature Flow for Video Recognition
Fully Convolutional Instance-Aware Semantic Segmentation
Truncated Max-Of-Convex Models
Asymmetric Feature Maps With Application to Sketch Based Retrieval
Instance-Level Salient Object Segmentation
Kernel Square-Loss Exemplar Machines for Image Retrieval
Direct Photometric Alignment by Mesh Deformation
Semantic Multi-View Stereo: Jointly Estimating Objects and Voxels
HOPE: Hierarchical Object Prototype Encoding for Efficient Object Instance Search in Videos
Learning Adaptive Receptive Fields for Deep Image Parsing Network
Contour-Constrained Superpixels for Image and Video Processing
Learning to Predict Stereo Reliability Enforcing Local Consistency of Confidence Maps
FlowNet 2.0: Evolution of Optical Flow Estimation With Deep Networks
Growing a Brain: Fine-Tuning by Increasing Model Capacity
Dynamic Attention-Controlled Cascaded Shape Regression Exploiting Training Data Augmentation and Fuzzy-Set Sample Weighting
Additive Component Analysis
Lifting From the Deep: Convolutional 3D Pose Estimation From a Single Image
Attentional Push: A Deep Convolutional Network for Augmenting Image Salience With Shared Attention Modeling in Social Scenes
Fine-Grained Recognition as HSnet Search for Informative Image Parts
Scalable Person Re-Identification on Supervised Smoothed Manifold
Riemannian Nonlinear Mixed Effects Models: Analyzing Longitudinal Deformations in Neuroimaging
Detecting Oriented Text in Natural Images by Linking Segments
Diverse Image Annotation
Inverse Compositional Spatial Transformer Networks
Factorized Variational Autoencoders for Modeling Audience Reactions to Movies
Adversarially Tuned Scene Generation
Binge Watching: Scaling Affordance Learning From Sitcoms
A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection
Cognitive Mapping and Planning for Visual Navigation
Multi-View Supervision for Single-View Reconstruction via Differentiable Ray Consistency
Learning Shape Abstractions by Assembling Volumetric Primitives
AMC: Attention guided Multi-modal Correlation Learning for Image Search
Bidirectional Multirate Reconstruction for Temporal Modeling in Videos
Learning Video Object Segmentation From Static Images
The More You Know: Using Knowledge Graphs for Image Classification
Detecting Masked Faces in the Wild With LLE-CNNs
UltraStereo: Efficient Learning-Based Matching for Active Stereo Systems
Learning Features by Watching Objects Move
Action-Decision Networks for Visual Tracking With Deep Reinforcement Learning
Multi-Attention Network for One Shot Learning
G2DeNet: Global Gaussian Distribution Embedding Network and Its Application to Visual Recognition
Depth From Defocus in the Wild
Fried Binary Embedding for High-Dimensional Visual Features
TGIF-QA: Toward Spatio-Temporal Reasoning in Visual Question Answering
Joint Registration and Representation Learning for Unconstrained Face Identification
Object-Aware Dense Semantic Correspondence
The Misty Three Point Algorithm for Relative Pose
Weakly Supervised Affordance Detection
End-To-End Representation Learning for Correlation Filter Based Tracking
Accurate Depth and Normal Maps From Occlusion-Aware Focal Stack Symmetry
3D Human Pose Estimation From a Single Image via Distance Matrix Regression
Zero-Shot Action Recognition With Error-Correcting Output Codes
Multiple Instance Detection Network With Online Instance Classifier Refinement
Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild
Deep Sketch Hashing: Fast Free-Hand Sketch-Based Image Retrieval
Semantic Regularisation for Recurrent Image Annotation
Pyramid Scene Parsing Network
On Human Motion Prediction Using Recurrent Neural Networks
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
SST: Single-Stream Temporal Action Proposals
Kernel Pooling for Convolutional Neural Networks
Subspace Clustering via Variance Regularized Ridge Regression
Efficient Global Point Cloud Alignment Using Bayesian Nonparametric Mixtures
The Incremental Multiresolution Matrix Factorization Algorithm
CATS: A Color and Thermal Stereo Benchmark
Deep Image Matting
The Surfacing of Multiview 3D Drawings via Lofting and Occlusion Reasoning
One-Shot Metric Learning for Person Re-Identification
Richer Convolutional Features for Edge Detection
Video Segmentation via Multiple Granularity Analysis
Learning Cross-Modal Embeddings for Cooking Recipes and Food Images
Locality-Sensitive Deconvolution Networks With Gated Fusion for RGB-D Indoor Semantic Segmentation
One-To-Many Network for Visually Pleasing Compression Artifacts Reduction
Recurrent Modeling of Interaction Context for Collective Activity Recognition
Hierarchical Multimodal Metric Learning for Multimodal Classification
Probabilistic Temporal Subspace Clustering
Detecting Visual Relationships With Deep Relational Networks
Discover and Learn New Objects From Documentaries
Spatio-Temporal Vector of Locally Max Pooled Features for Action Recognition in Videos
Specular Highlight Removal in Facial Images
Radiometric Calibration From Faces in Images
What Can Help Pedestrian Detection?
StyleNet: Generating Attractive Visual Captions With Styles
Image Super-Resolution via Deep Recursive Residual Network
Residual Attention Network for Image Classification
End-To-End Concept Word Detection for Video Captioning, Retrieval, and Question Answering
Semantic Autoencoder for Zero-Shot Learning
Co-Occurrence Filter
Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade
Deeply Supervised Salient Object Detection With Short Connections
CityPersons: A Diverse Dataset for Pedestrian Detection
Generalized Rank Pooling for Activity Recognition
Deep Cross-Modal Hashing
Revisiting Metric Learning for SPD Matrix Based Visual Representation
CNN-Based Patch Matching for Optical Flow With Thresholded Hinge Embedding Loss
A Multi-View Stereo Benchmark With High-Resolution Images and Multi-Camera Videos
Snapshot Hyperspectral Light Field Imaging
Zero-Shot Recognition Using Dual Visual-Semantic Mapping Paths
A New Representation of Skeleton Sequences for 3D Action Recognition
Efficient Linear Programming for Dense CRFs
Learning Deep Match Kernels for Image-Set Classification
A Deep Regression Architecture With Two-Stage Re-Initialization for High Performance Facial Landmark Detection
Product Manifold Filter: Non-Rigid Shape Correspondence via Kernel Density Estimation in the Product Space
Elastic Shape-From-Template With Spatially Sparse Deforming Forces
A General Framework for Curve and Surface Comparison and Registration With Oriented Varifolds
BranchOut: Regularization for Online Ensemble Tracking With Convolutional Neural Networks
Expert Gate: Lifelong Learning With a Network of Experts
AdaScan: Adaptive Scan Pooling in Deep Convolutional Neural Networks for Human Action Recognition in Videos
Learning Motion Patterns in Videos
Provable Self-Representation Based Outlier Detection in a Union of Subspaces
Deep Structured Learning for Facial Action Unit Intensity Estimation
Joint Detection and Identification Feature Learning for Person Search
Learning to Align Semantic Segmentation and 2.5D Maps for Geolocalization
LCR-Net: Localization-Classification-Regression for Human Pose
Primary Object Segmentation in Videos Based on Region Augmentation and Reduction
Deep 360 Pilot: Learning a Deep Agent for Piloting Through 360deg Sports Videos
Learning and Refining of Privileged Information-Based RNNs for Action Recognition From Depth Sequences
Simultaneous Facial Landmark Detection, Pose and Deformation Estimation Under Facial Occlusion
A Domain Based Approach to Social Relation Recognition
Fractal Dimension Invariant Filtering and Its CNN-Based Implementation
Transformation-Grounded Image Generation Network for Novel 3D View Synthesis
Noise-Blind Image Deblurring
Multi-Scale FCN With Cascaded Instance Aware Segmentation for Arbitrary Oriented Word Spotting in the Wild
Combining Bottom-Up, Top-Down, and Smoothness Cues for Weakly Supervised Image Segmentation
Multiple People Tracking by Lifted Multicut and Person Re-Identification
Filter Flow Made Practical: Massively Parallel and Lock-Free
Acquiring Axially-Symmetric Transparent Objects Using Single-View Transmission Imaging
Online Graph Completion: Multivariate Signal Recovery in Computer Vision
OctNet: Learning Deep 3D Representations at High Resolutions
Non-Local Color Image Denoising With Convolutional Neural Networks
Slow Flow: Exploiting High-Speed Cameras for Accurate and Diverse Optical Flow Reference Data
Cross-View Image Matching for Geo-Localization in Urban Environments
Improving Pairwise Ranking for Multi-Label Image Classification
Webly Supervised Semantic Segmentation
Self-Supervised Video Representation Learning With Odd-One-Out Networks
Fast Video Classification via Adaptive Cascading of Deep Models
Non-Contact Full Field Vibration Measurement Based on Phase-Shifting
FusionSeg: Learning to Combine Motion and Appearance for Fully Automatic Segmentation of Generic Objects in Videos
Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold
Temporal Action Localization by Structured Maximal Sums
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs
Synthesizing Normalized Faces From Facial Identity Features
Task-Driven Dynamic Fusion: Reducing Ambiguity in Video Description
Unsupervised Pixel-Level Domain Adaptation With Generative Adversarial Networks
Simultaneous Visual Data Completion and Denoising Based on Tensor Rank and Total Variation Minimization and Its Primal-Dual Splitting Algorithm
Point to Set Similarity Based Deep Feature Learning for Person Re-Identification
Gated Feedback Refinement Network for Dense Image Labeling
Hallucinating Very Low-Resolution Unaligned and Noisy Face Images by Transformative Discriminative Autoencoders
Learning Dynamic Guidance for Depth Image Enhancement
3D Shape Segmentation With Projective Convolutional Networks
Deep Image Harmonization
Matrix Tri-Factorization With Manifold Regularizations for Zero-Shot Learning
Spatio-Temporal Alignment of Non-Overlapping Sequences From Independently Panning Cameras
Learning Fully Convolutional Networks for Iterative Non-Blind Deconvolution
Seeing Into Darkness: Scotopic Visual Recognition
Distinguishing the Indistinguishable: Exploring Structural Ambiguities via Geodesic Context
Learning an Invariant Hilbert Space for Domain Adaptation
Removing Rain From Single Images via a Deep Detail Network
Binarized Mode Seeking for Scalable Visual Pattern Discovery
Fast Person Re-Identification via Cross-Camera Semantic Binary Transformation
Deep Multi-Scale Convolutional Neural Network for Dynamic Scene Deblurring
Deep Crisp Boundaries
Learning Multifunctional Binary Codes for Both Category and Attribute Oriented Retrieval Tasks
Generative Face Completion
Diversified Texture Synthesis With Feed-Forward Networks
Learning Deep CNN Denoiser Prior for Image Restoration
Fast Multi-Frame Stereo Scene Flow With Motion Segmentation
DeepPermNet: Visual Permutation Learning
Light Field Blind Motion Deblurring
Wetness and Color From a Single Multispectral Image
Seeing Invisible Poses: Estimating 3D Body Pose From Egocentric Video
Controlling Perceptual Factors in Neural Style Transfer
Learning to Rank Retargeted Images
Image Deblurring via Extreme Channels Prior
Fixed-Point Factorized Networks
Large Margin Object Tracking With Circulant Feature Maps
Learning Residual Images for Face Attribute Manipulation
One-Shot Hyperspectral Imaging Using Faced Reflectors
Video2Shop: Exact Matching Clothes in Videos to Online Shopping Images
A Novel Tensor-Based Video Rain Streaks Removal Approach via Utilizing Discriminatively Intrinsic Priors
DeshadowNet: A Multi-Context Embedding Deep Network for Shadow Removal
Generalized Semantic Preserving Hashing for N-Label Cross-Modal Retrieval
FC4: Fully Convolutional Color Constancy With Confidence-Weighted Pooling
Template-Based Monocular 3D Recovery of Elastic Shapes Using Lagrangian Multipliers
Discriminative Optimization: Theory and Applications to Point Cloud Registration
Fine-Grained Recognition of Thousands of Object Categories With Single-Example Training
Deep Co-Occurrence Feature Learning for Visual Object Recognition
A Gift From Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning
What Is and What Is Not a Salient Object? Learning Salient Object Detector by Ensembling Linear Exemplar Regressors
Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes
Optical Flow Estimation Using a Spatial Pyramid Network
Spatio-Temporal Naive-Bayes Nearest-Neighbor (ST-NBNN) for Skeleton-Based Action Recognition
GMS: Grid-based Motion Statistics for Fast, Ultra-Robust Feature Correspondence
Detailed, Accurate, Human Shape Estimation From Clothed 3D Scan Sequences
Active Convolution: Learning the Shape of Convolution for Image Classification
Video Desnowing and Deraining Based on Matrix Decomposition
Thin-Slicing Network: A Deep Structured Model for Pose Estimation in Videos
Self-Supervised Learning of Visual Features Through Embedding Images Into Text Topic Spaces
Coarse-To-Fine Segmentation With Shape-Tailored Continuum Scale Spaces
Minimum Delay Moving Object Detection
Hyper-Laplacian Regularized Unidirectional Low-Rank Tensor Recovery for Multispectral Image Denoising
Online Asymmetric Similarity Learning for Cross-Modal Retrieval
Latent Multi-View Subspace Clustering
Unsupervised Vanishing Point Detection and Camera Calibration From a Single Manhattan Image With Radial Distortion
Re-Sign: Re-Aligned End-To-End Sequence Modelling With Deep Recurrent CNN-HMMs
Improving Interpretability of Deep Neural Networks With Semantic Information
Social Scene Understanding: End-To-End Multi-Person Action Localization and Collective Activity Recognition
UntrimmedNets for Weakly Supervised Action Recognition and Detection
Multi-Task Correlation Particle Filter for Robust Object Tracking
Improving Training of Deep Neural Networks via Singular Value Bounding
Large Kernel Matters -- Improve Semantic Segmentation by Global Convolutional Network
Neural Aggregation Network for Video Face Recognition
Deep Future Gaze: Gaze Anticipation on Egocentric Videos Using Adversarial Networks
Simultaneous Stereo Video Deblurring and Scene Flow Estimation
An Empirical Evaluation of Visual Question Answering for Novel Objects
Binary Constraint Preserving Graph Matching
Exploiting Saliency for Object Segmentation From Image Level Labels
Predicting Salient Face in Multiple-Face Videos
SPFTN: A Self-Paced Fine-Tuning Network for Segmenting Objects in Weakly Labelled Videos
Look Closer to See Better: Recurrent Attention Convolutional Neural Network for Fine-Grained Image Recognition
From Local to Global: Edge Profiles to Camera Motion in Blurred Images
On-The-Fly Adaptation of Regression Forests for Online Camera Relocalisation
Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space
Domain Adaptation by Mixture of Alignments of Second- or Higher-Order Scatter Tensors
A Generative Model for Depth-Based Robust 3D Facial Pose Tracking
Single Image Reflection Suppression
Learning Non-Maximum Suppression
BRISKS: Binary Features for Spherical Images on a Geodesic Grid
Gaze Embeddings for Zero-Shot Image Classification
A-Lamp: Adaptive Layout-Aware Multi-Patch Deep Convolutional Neural Network for Photo Aesthetic Assessment
Toroidal Constraints for Two-Point Localization Under High Outlier Ratios
Hidden Layers in Perceptual Learning
InterpoNet, a Brain Inspired Neural Network for Optical Flow Dense Interpolation
Learning Category-Specific 3D Shape Models From Weakly Labeled 2D Images
Zero-Shot Learning - the Good, the Bad and the Ugly
Learning the Multilinear Structure of Visual Data
Linking Image and Text With 2-Way Nets
Unsupervised Semantic Scene Labeling for Streaming Data
Fast-At: Fast Automatic Thumbnail Generation Using Deep Neural Networks
3D Point Cloud Registration for Localization Using a Deep Neural Network Auto-Encoder
Improved Stereo Matching With Constant Highway Networks and Reflective Confidence Learning
Superpixels and Polygons Using Simple Non-Iterative Clustering
POSEidon: Face-From-Depth for Driver Pose Estimation
Optical Flow in Mostly Rigid Scenes
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
ROAM: A Rich Object Appearance Model With Application to Rotoscoping
Densely Connected Convolutional Networks
Multi-Level Attention Networks for Visual Question Answering
Spatial-Semantic Image Search by Visual Feature Synthesis
Temporal Residual Networks for Dynamic Scene Recognition
Radiometric Calibration for Internet Photo Collections
See the Forest for the Trees: Joint Spatial and Temporal Recurrent Neural Networks for Video-Based Person Re-Identification
Procedural Generation of Videos to Train Deep Action Recognition Networks
Spatiotemporal Multiplier Networks for Video Action Recognition
Real-Time Video Super-Resolution With Spatio-Temporal Networks and Motion Compensation
Query-Focused Video Summarization: Dataset, Evaluation, and a Memory Network Based Approach
A New Rank Constraint on Multi-View Fundamental Matrices, and Its Application to Camera Location Recovery
Attentional Correlation Filter Network for Adaptive Visual Tracking
Deep Mixture of Linear Inverse Regressions Applied to Head-Pose Estimation
Human Shape From Silhouettes Using Generative HKS Descriptors and Cross-Modal Neural Networks
STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling
On the Two-View Geometry of Unsynchronized Cameras
Using Locally Corresponding CAD Models for Dense 3D Reconstructions From a Single Image
BigHand2.2M Benchmark: Hand Pose Dataset and State of the Art Analysis
A Matrix Splitting Method for Composite Function Minimization
Simultaneous Geometric and Radiometric Calibration of a Projector-Camera Pair
On the Global Geometry of Sphere-Constrained Sparse Blind Deconvolution
Towards Accurate Multi-Person Pose Estimation in the Wild
A Clever Elimination Strategy for Efficient Minimal Solvers
Adaptive and Move Making Auxiliary Cuts for Binary Pairwise Energies
What Is the Space of Attenuation Coefficients in Underwater Computer Vision?
Consensus Maximization With Linear Matrix Inequality Constraints
Optical Flow Requires Multiple Strategies (but Only One Network)
Convex Global 3D Registration With Lagrangian Duality
S3Pool: Pooling With Stochastic Spatial Sampling
Generating Descriptions With Grounded and Co-Referenced People
Deep Photo Style Transfer
Are You Smarter Than a Sixth Grader? Textbook Question Answering for Multimodal Machine Comprehension
InstanceCut: From Edges to Instances With MultiCut
Deep Hashing Network for Unsupervised Domain Adaptation
Harmonic Networks: Deep Translation and Rotation Equivariance
DeMoN: Depth and Motion Network for Learning Monocular Stereo
A Wide-Field-Of-View Monocentric Light Field Camera
Teaching Compositionality to CNNs
Learning Barycentric Representations of 3D Shapes for Sketch-Based 3D Shape Retrieval
Stacked Generative Adversarial Networks
Image Splicing Detection via Camera Response Function Analysis
Illuminant-Camera Communication to Observe Moving Objects Under Strong External Light by Spread Spectrum Modulation
Building a Regular Decision Boundary With Deep Networks
Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs
Identifying First-Person Camera Wearers in Third-Person Videos
IM2CAD
Photorealistic Facial Texture Inference Using Deep Neural Networks
Learning to Learn From Noisy Web Videos
Regressing Robust and Discriminative 3D Morphable Models With a Very Deep Neural Network
HPatches: A Benchmark and Evaluation of Handcrafted and Learned Local Descriptors
Using Ranking-CNN for Age Estimation
DeepNav: Learning to Navigate Large Cities
The World of Fast Moving Objects
Sports Field Localization via Deep Structured Models
Deep Watershed Transform for Instance Segmentation
Annotating Object Instances With a Polygon-RNN
Multimodal Transfer: A Hierarchical Deep Convolutional Neural Network for Fast Artistic Style Transfer
Detect, Replace, Refine: Deep Structured Prediction for Pixel Wise Labeling
Grassmannian Manifold Optimization Assisted Sparse Spectral Clustering
Robust Joint and Individual Variance Explained
AnchorNet: A Weakly Supervised Network to Learn Geometry-Sensitive Features for Semantic Matching
Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks
YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video
Full Resolution Image Compression With Recurrent Neural Networks
Learning to Extract Semantic Structure From Documents Using Multimodal Fully Convolutional Neural Networks
Hardware-Efficient Guided Image Filtering for Multi-Label Problem
Fully-Adaptive Feature Sharing in Multi-Task Networks With Applications in Person Attribute Classification
Hyperspectral Image Super-Resolution via Non-Local Sparse Tensor Factorization
Multi-Scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation
Learning Cross-Modal Deep Representations for Robust Pedestrian Detection
Noisy Softmax: Improving the Generalization Ability of DCNN via Postponing the Early Softmax Saturation
Deep Metric Learning via Facility Location
Event-Based Visual Inertial Odometry
Scribbler: Controlling Deep Image Synthesis With Sketch and Color
Scene Graph Generation by Iterative Message Passing
Accurate Single Stage Detector Using Recurrent Rolling Convolution
Indoor Scene Parsing With Instance Segmentation, Semantic Labeling and Support Relationship Inference
Reflection Removal Using Low-Rank Matrix Completion
Deep Multimodal Representation Learning From Temporal Data
Weighted-Entropy-Based Quantization for Deep Neural Networks
Deep Supervision With Shape Concepts for Occlusion-Aware 3D Object Parsing
Spatio-Temporal Self-Organizing Map Deep Network for Dynamic Object Detection From Videos
Semantic Image Inpainting With Deep Generative Models
Unambiguous Text Localization and Retrieval for Cluttered Scenes
GuessWhat?! Visual Object Discovery Through Multi-Modal Dialogue
Learning Spatial Regularization With Image-Level Supervisions for Multi-Label Image Classification
CERN: Confidence-Energy Recurrent Network for Group Activity Recognition
Visual Translation Embedding Network for Visual Relation Detection
Neural Face Editing With Intrinsic Image Disentangling
EAST: An Efficient and Accurate Scene Text Detector
Episodic CAMN: Contextual Attention-Based Memory Networks With Iterative Feedback for Scene Labeling
Robust Energy Minimization for BRDF-Invariant Shape From Light Fields
Connecting Look and Feel: Associating the Visual and Tactile Properties of Physical Materials
Robust Visual Tracking Using Oblique Random Forests
Discriminative Covariance Oriented Representation Learning for Face Recognition With Image Sets
Generalized Deep Image to Image Regression
Multi-Object Tracking With Quadruplet Convolutional Neural Networks
Semantic Compositional Networks for Visual Captioning
Link the Head to the "Beak": Zero Shot Learning From Noisy Text Description at Part Precision
A Non-Local Low-Rank Framework for Ultrasound Speckle Reduction
SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning
A Compact DNN: Approaching GoogLeNet-Level Accuracy of Classification and Domain Adaptation
Relationship Proposal Networks
Designing Energy-Efficient Convolutional Neural Networks Using Energy-Aware Pruning
Boundary-Aware Instance Segmentation
Joint Intensity and Spatial Metric Learning for Robust Gait Recognition
Seeing What Is Not There: Learning Context to Determine Where Objects Are Missing
Joint Gap Detection and Inpainting of Line Drawings
CDC: Convolutional-De-Convolutional Networks for Precise Temporal Action Localization in Untrimmed Videos
Switching Convolutional Neural Network for Crowd Counting
Captioning Images With Diverse Objects
Amodal Detection of 3D Objects: Inferring 3D Bounding Boxes From 2D Ones in RGB-Depth Images
Consistent-Aware Deep Learning for Person Re-Identification in a Camera Network
Enhancing Video Summarization via Vision-Language Embedding
Quality Aware Network for Set to Set Recognition
Spatially-Varying Blur Detection Based on Multiscale Fused and Sorted Transform Coefficients of Gradient Magnitudes
Age Progression/Regression by Conditional Adversarial Autoencoder
Residual Expansion Algorithm: Fast and Effective Optimization for Nonconvex Least Squares Problems
ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes
More Is Less: A More Complicated Network With Less Inference Complexity
Online Video Object Segmentation via Convolutional Trident Network
Learning Object Interactions and Descriptions for Semantic Image Segmentation
Shape Completion Using 3D-Encoder-Predictor CNNs and Shape Synthesis
The Impact of Typicality for Informative Representative Selection
Infinite Variational Autoencoder for Semi-Supervised Learning
Understanding Traffic Density From Large-Scale Web Camera Data
End-To-End 3D Face Reconstruction With Deep Neural Networks
Deep Learning With Low Precision by Half-Wave Gaussian Quantization
Deep Pyramidal Residual Networks
RON: Reverse Connection With Objectness Prior Networks for Object Detection
Weakly-Supervised Visual Grounding of Phrases With Linguistic Structures
Network Sketching: Exploiting Binary Structure in Deep CNNs
CASENet: Deep Category-Aware Semantic Edge Detection
Geometric Loss Functions for Camera Pose Regression With Deep Learning
Model-Based Iterative Restoration for Binary Document Image Compression With Dictionary Learning
Fine-Grained Image Classification via Combining Vision and Language
A Minimal Solution for Two-View Focal-Length Estimation Using Two Affine Correspondences
Joint Graph Decomposition & Node Labeling: Problem, Algorithms, Applications
Detangling People: Individuating Multiple Close People and Their Body Parts via Region Assembly
Flight Dynamics-Based Recovery of a UAV Trajectory Using Ground Cameras
SurfNet: Generating 3D Shape Surfaces Using Deep Residual Networks
Unite the People: Closing the Loop Between 3D and 2D Human Representations
Semantically Consistent Regularization for Zero-Shot Recognition
Simultaneous Super-Resolution and Cross-Modality Synthesis of 3D Medical Images Using Weakly-Supervised Joint Convolutional Sparse Coding
Viraliency: Pooling Local Virality
Generative Attribute Controller With Conditional Filtered Generative Adversarial Networks
Deep Learning on Lie Groups for Skeleton-Based Action Recognition
Dynamic Time-Of-Flight
Can Walking and Measuring Along Chord Bunches Better Describe Leaf Shapes?
Ubernet: Training a Universal Convolutional Neural Network for Low-, Mid-, and High-Level Vision Using Diverse Datasets and Limited Memory
Parametric T-Spline Face Morphable Model for Detailed Fitting in Shape Subspace
Convolutional Neural Network Architecture for Geometric Matching
Deep Representation Learning for Human Motion Prediction and Classification
Deep Affordance-Grounded Sensorimotor Object Recognition
All You Need Is Beyond a Good Init: Exploring Better Solution for Training Extremely Deep Convolutional Neural Networks With Orthonormality and Modulation
Scale-Aware Face Detection
Intrinsic Grassmann Averages for Online Linear and Robust Subspace Learning
Object Co-Skeletonization With Co-Segmentation
Product Split Trees
Pose-Aware Person Recognition
Dynamic FAUST: Registering Human Bodies in Motion
CNN-SLAM: Real-Time Dense Monocular SLAM With Learned Depth Prediction
Alternating Direction Graph Matching
DUST: Dual Union of Spatio-Temporal Subspaces for Monocular Multiple Object 3D Reconstruction
Unsupervised Part Learning for Visual Recognition
Parsing Images of Overlapping Organisms With Deep Singling-Out Networks
Deep Multitask Architecture for Integrated 2D and 3D Human Sensing
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
Discriminative Correlation Filter With Channel and Spatial Reliability
Light Field Reconstruction Using Deep Convolutional Network on EPI
Noise Robust Depth From Focus Using a Ring Difference Filter
Improving RANSAC-Based Segmentation Through CNN Encapsulation
Bayesian Supervised Hashing
Mimicking Very Efficient Network for Object Detection
3D Menagerie: Modeling the 3D Shape and Pose of Animals
Training Object Class Detectors With Click Supervision
4D Light Field Superpixel and Segmentation
Joint Sequence Learning and Cross-Modality Convolution for 3D Biomedical Segmentation
Multi-Task Clustering of Human Actions by Sharing Information
Geodesic Distance Descriptors
Deeply Aggregated Alternating Minimization for Image Restoration
MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network
Computational Imaging on the Electric Grid
Lip Reading Sentences in the Wild
ArtTrack: Articulated Multi-Person Tracking in the Wild
LSTM Self-Supervision for Detailed Behavior Analysis
Making 360deg Video Watchable in 2D: Learning Videography for Click Free Viewing
Creativity: Generating Diverse Questions Using Variational Autoencoders
Tracking by Natural Language Specification
Video Captioning With Transferred Semantic Attributes
Personalizing Gesture Recognition Using Hierarchical Bayesian Neural Networks
Flexible Spatio-Temporal Networks for Video Prediction
Soft-Margin Mixture of Regressions
Network Dissection: Quantifying Interpretability of Deep Visual Representations
Straight to Shapes: Real-Time Detection of Encoded Shapes
FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence
Variational Bayesian Multiple Instance Learning With Gaussian Processes
Incorporating Copying Mechanism in Image Captioning for Learning Novel Objects
Beyond Instance-Level Image Retrieval: Leveraging Captions to Learn a Global Visual Representation for Semantic Retrieval
Fast 3D Reconstruction of Faces With Glasses
Non-Local Deep Features for Salient Object Detection
Simultaneous Feature Aggregating and Hashing for Large-Scale Image Search
Not Afraid of the Dark: NIR-VIS Face Recognition via Cross-Spectral Hallucination and Low-Rank Embedding
ECO: Efficient Convolution Operators for Tracking
Semi-Supervised Deep Learning for Monocular Depth Map Prediction
End-To-End Instance Segmentation With Recurrent Attention
Multigrid Neural Architectures
Fast Boosting Based Detection Using Scale Invariant Multimodal Multiresolution Filtered Features
DSAC - Differentiable RANSAC for Camera Localization
Group-Wise Point-Set Registration Based on Renyi's Second Order Entropy
PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning
MuCaLe-Net: Multi Categorical-Level Networks to Generate More Discriminating Features
High-Resolution Image Inpainting Using Multi-Scale Neural Patch Synthesis
Temporal Attention-Gated Model for Robust Sequence Classification
Multiple-Scattering Microphysics Tomography
Why You Should Forget Luminance Conversion and Do Something Better
Deep Quantization: Encoding Convolutional Activations With Deep Generative Model
Joint Multi-Person Pose Estimation and Semantic Part Segmentation
DOPE: Distributed Optimization for Pairwise Energies
Reflectance Adaptive Filtering Improves Intrinsic Image Estimation
DenseReg: Fully Convolutional Dense Shape Regression In-The-Wild
Deep Learning Human Mind for Automated Visual Classification
Learning Discriminative and Transformation Covariant Local Feature Detectors
Temporal Action Co-Segmentation in 3D Motion Capture Data and Videos
Learning Diverse Image Colorization
Non-Uniform Subset Selection for Active Learning in Structured Data
VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization
Hard Mixtures of Experts for Large Scale Weakly Supervised Vision
Colorization as a Proxy Task for Visual Understanding
A Dataset and Exploration of Models for Understanding Video Data Through Fill-In-The-Blank Question-Answering
Interspecies Knowledge Transfer for Facial Keypoint Detection
Making the v in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
Deep Semantic Feature Matching

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