Journals starting with cvpr

CVPR00 * *CVPR
* 3-D Model Construction using Range and Image Data
* 360 x 360 Mosaics
* Active Character Recognition using A*-like Algorithm
* Adaptive Bayesian Recognition in Tracking Rigid Objects
* Adaptive Metric Nearest Neighbor Classification
* Agent-based Moving Object Correspondence using Differential Discriminative Diagnosis
* Algorithms for Plane-based Pose Estimation
* Alpha Estimation in Natural Images
* Appearance Representation for Multiple Reflection Components, An
* Arbitrary View Position and Direction Rendering for Large-Scale Scenes
* Are Multifractal Multipermuted Multinomial Measures Good Enough for Unsupervised Image Segmentation?
* Articulated Body Motion Capture by Annealed Particle Filtering
* Articulated-Pose Estimation using Brightness and Depth-Constancy Constraints
* Assignment Problem in Edge Detection Performance Evaluation
* Augmented Reality System for Surgical Navigation using Robust Target Vision
* Automatic Recovery of Relative Camera Rotations for Urban Scenes
* Batch/Recursive Algorithm for 3D Scene Reconstruction, A
* Bayesian Framework for Radar Shape-from-Shading, A
* Bayesian Super-Resolved Surface Reconstruction from Images
* Blind Recovery of Transparent and Semireflected Scenes
* Boosting Image Retrieval
* Boundary Extraction Method based on Dual-T-Snakes and Dynamic Programming, A
* Calibration of Light Sources
* Camera Model Selection based on Geometric AIC
* Cameras for Stereo Panoramic Imaging
* Catadioptric Self-Calibration
* Catadioptric Sensors that Approximate Wide-Angle Perspective Projections
* Categorical Representation and Recognition of Oscillatory Motion Patterns
* Chromatic Framework for Vision in Bad Weather
* Codimension-Two Geodesic Active Contours for the Segmentation of Tubular Structures
* Color Channels Decorrelation by ICA Transformation in the Wavelet Domain for, Color Texture Analysis and Synthesis
* Color Tracking by Transductive Learning
* Combined Feature-Texture Similarity Measure for Face Alignment under Varying Pose, A
* Comparative Technique and Performance Results on Novel Learned Snakes in Two Dissimilar Medical Domains, A
* Computational Model for Repeated Pattern Perception using Frieze and Wallpaper Groups, A
* Computing 3D Object Parts from Similarities among Object Views
* Computing Optical Flow with Physical Models of Brightness Variation
* Conditioning Analysis of Missing Data Estimation for Large Sensor Arrays
* Corner Guided Curve Matching and its Application to Scene Reconstruction
* CueVideo: a system for cross-modal search and browse of video databases
* Curve and Surface Reconstruction from Regular and Non-Regular Point Sets
* Curve Evolution Approach to Smoothing and Segmentation Using the Mumford-Shah Functional, A
* Detecting and Tracking Eyes by using their Physiological Properties, Dynamics, and Appearance
* Detecting and Tracking Human Face and Eye using Space-Varying Sensor and an Active Vision Head
* Detecting Binocular Half-Occlusions: Empirical Comparisons of Four Approaches
* Detecting Changes in 3-D Shape using Self-Consistency
* Detecting Dynamic Behavior in Compressed Fingerprint Videos: Distortion
* Detecting People in Cluttered Indoor Scenes
* Detection of Obstacles in the Flight Path of an Aircraft
* Discriminant-EM Algorithm with Application to Image Retrieval
* Distortion-Invariant Recognition via Jittered Queries
* Dynamic Layer Representation with Applications to Tracking
* Dynamic Memory: Architecture for Real Time Integration of Visual Perception, Camera Action, and Network Communication
* Edge-Constrained Joint View Triangulation for Image Interpolation
* Effective Approach to Detect Lesions in Color Retinal Images, An
* Efficient Matching of Pictorial Structures
* Efficient Query Modification for Image Retrieval
* Energy-based Framework for Dense 3D Registration of Volumetric Brain Images, An
* Error Analysis of Background Adaption
* Estimating Anthropometry and Pose from a Single Image
* Estimation and Prediction of Evolving Color Distributions for Skin Segmentation under Varying Illumination
* Exact Voxel Occupancy with Graph Cuts
* Face Recognition by Distribution Specific Feature Extraction
* Fast and Robust Approach to Recovering Structure and Motion from Live Video Frames, A
* Fast Face Detection using Subspace Discriminant Wavelet Features
* Fast Multiscale Image Segmentation
* Feature based Visualization of Geophysical Data
* Feature-based Technique for Joint, Linear Estimation of High-Order Image-to-Mosaic Transformations: Application to Mosaicing the Curved Human Retina, A
* Filling in Scenes by Propagating Probabilities through Layers and into Appearance Models
* Fixed Topology Skeletons
* Fluid Structure and Motion Analysis from Multi-spectrum 2D Cloud Image Sequences
* Flying a Toy Plane
* Formal Classification of 3D Medial Axis Points and their Local Geometry, A
* Fusion of Color, Shading and Boundary Information for Factory Pipe Segmentation
* General Method for Errors-in-Variables Problems in Computer Vision, A
* General Scheme for Training and Optimization of the Grenander Deformable Template Model, A
* Generalized Optical Flow Constraint and its Physical Interpretation, A
* Geodesic Distance Evolution of Surfaces: A New Method for Matching Surfaces
* Geometric Approach to Blind Deconvolution with Application to Shape from Defocus, A
* Geometric Approach to Train Support Vector Machines, A
* Gesture, Speech, and Gaze Cues for Discourse Segmentation
* Handwritten Digit Recognition with a Novel Vision Model that Extracts Linearly Separable Features
* Hierarchical Structure and Nonrigid Motion Recovery from 2D Monocular Views
* High Dynamic Range Imaging: Spatially Varying Pixel Exposures
* Histogram Preserving Image Transformations
* Histogram-based Object Recognition using Shape-from-Shading
* Ill-Posed Problems in Surface and Surface Shape Recovery
* Illuminant Direction Determination for Multiple Light Sources
* Illumination-Insensitive Face Recognition using Symmetric Shape-from-Shading
* Image retrieval and segmentation based on color invariants
* Image Segmentation by Nested Cuts
* Image-based Bayesian Framework for Face Detection, An
* Image-based Re-Rendering of Faces for Continuous Pose and Illumination Directions
* Image-Consistent Surface Triangulation
* Impact of Dynamic Model Learning on Classification of Human Motion
* Improved Motion Stereo Matching based on a Modified Dynamic Programming
* Improving Correlation-based DEMs by Image Warping and Facade Correlation
* Improving Visual Matching
* In Search of Illumination Invariants
* Inconsistencies in Edge Detector Evaluation
* Indexing for Topics in Videos using Foils
* Inferring Body Pose without Tracking Body Parts
* Integrated 3D Scene Flow and Structure Recovery from Multiview Image Sequences
* Integrating Bottom-Up/Top-Down for Object Recognition by Data Driven Markov Chain Monte Carlo
* Integrating Color, Texture, and Geometry for Image Retrieval
* Intel's Computer Vision Library: applications in calibration, stereo segmentation, tracking, gesture, face and object recognition
* Intelligent selection tools
* Invariant web defect detection and classification system
* Iterative Projective Reconstruction from Multiple Views
* Layer Extraction from Multiple Images Containing Reflections and Transparency
* Learning from One Example through Shared Densities on Transforms
* Learning in Gibbsian Fields: How Accurate and How Fast Can It Be?
* Learning Patterns from Images by Combining Soft Decisions and Hard Decisions
* Learning to Recognize Objects
* Likelihood Functions and Confidence Bounds for Total-Least-Squares Problems
* Limits on Super-Resolution and How to Break Them
* Line Net Global Vectorization: An Algorithm and its Performance Evaluation
* Linear Algorithm for Camera Self-Calibration, Motion and Structure Recovery for Multi-Planar Scenes from Two Perspective Images, A
* Lines in One Orthographic and Two Perspective Views
* Local Appearance for Robust Object Recognition
* Maintaining Valid Topology with Active Contours: Theory and Application
* Matching Images with Different Resolutions
* Maximum-Likelihood Template Matching
* Measurement of Color Invariants
* Mixture Models and the Segmentation of Multimodal Textures
* Motion Characterization by Temporal Slices Analysis
* Multi-modality model-based registration in the cardiac domain
* Multi-view 3D analysis with applications for augmented reality and enhanced video visualization
* Multidimensional Motion Segmentation and Identification
* Multifeature Object Tracking using a Model-Free Approach
* Multimodal Speaker Detection using Error Feedback Dynamic Bayesian Networks
* Multiscale Combination of Physically-based Registration and Deformation Modeling
* Multisensor Integration for Building Modeling
* Nearest Neighbor Search using Additive Binary Tree
* Neural Optimization Framework for Zoom Lens Camera Calibration, A
* New Algorithm for Non-Rigid Point Matching, A
* New Regularized Approach for Contour Morphing, A
* Novel Algorithm for Rotated Human Face Detection, A
* Novel Approach to Depth Ordering in Monocular Image Sequences, A
* Object Recognition for an Intelligent Room
* On Measuring Low-Level Saliency in Photographic Images
* On the Number of Samples Needed in Light Field Rendering with Constant-Depth Assumption
* On the Space Requirements of Indexing 3D Models from 2D Perspective Images
* On the Synthesis of Dynamic Scenes from Reference Views
* On-Line Handwriting Recognition System using Fisher Segmental Matching and Hypotheses Propagation Network, An
* Optimizing Learning in Image Retrieval
* Order Parameters for Minimax Entropy Distributions: When does High Level Knowledge Help?
* Parallel Projections for Stereo Reconstruction
* Parameterization of Closed Surfaces for Parametric Surface Description
* Parametric Template Method and its Application to Robust Matching, A
* Perceptual Grouping and Segmentation by Stochastic Clustering
* Perspective Pose from Spectral Voting
* Physical Panoramic Pyramid and Noise Sensitivity in Pyramids
* Point Pattern Matching with Robust Spectral Correspondence
* Pose Estimation, Model Refinement, and Enhanced Visualization using Video
* Probabilistic Architecture for Content-based Image Retrieval, A
* Probabilistic vs. Geometric Similarity Measures for Image Retrieval
* Provably Fast Algorithms for Contour Tracking
* Real Time System for Robust 3D Voxel Reconstruction of Human Motions, A
* Real-time 3D motion and structure of point features: a front-end system for vision-based control and interaction
* Real-Time System for Epipolar Geometry and Ego-Motion Estimation, A
* Real-Time Tracking of Non-Rigid Objects using Mean Shift
* Recognition of Partially Occluded and/or Imprecisely Localized Faces using a Probabilistic Approach
* Recognizing Upper Face Action Units for Facial Expression Analysis
* Reconstruction from Six-Point Sequences
* Reconstruction of a Scene with Multiple Linearly Moving Objects
* Reconstruction of Articulated Objects from Point Correspondences in a Single Uncalibrated Image
* Reconstruction of Scene Models from Sparse 3D Structure
* Recovering Non-Rigid 3D Shape from Image Streams
* Recovering Projection Geometry: How a Cheap Camera Can Outperform an Expensive Stereo System
* Rectified Catadioptric Stereo Sensors
* Rectified Mosaicing: Mosaics without the Curl
* Recursive Estimation of Motion and Planar Structure
* Region Correspondence by Global Configuration Matching and Progressive Delaunay Triangulation
* Region Extraction Method using Multiple Active Contour Models, A
* Reliable Feature Matching across Widely Separated Views
* Representation and Optimal Recognition of Human Activities
* Representation and Recognition of Complex Human Motion
* Retinal thickness measurements from optical coherence tomography using a markov boundary model
* Robust and Efficient Motion Segmentation based on Orthogonal Projection Matrix of Shape Space, A
* Robust and Efficient Skeletal Graphs
* Robust Periodic Motion and Motion Symmetry Detection
* Robust Snake Model
* Robust Stereo Ego-Motion for Long Distance Navigation
* Robust Visual Recognition of Color Images
* ROR: Rejection of Outliers by Rotations in Stereo Matching
* Scene Constraints-Aided Tracking of Human Body
* Scene Modeling for Wide Area Surveillance and Image Synthesis
* Segmentation with Invisible Keying Signal
* Segmenting Visual Actions based on Spatio-Temporal Motion Patterns
* Semi-Automatic Method for Resolving Occlusion in Augmented Reality, A
* Sensor networked mobile robotics
* Shape and Motion Carving in 6D
* Shape Descriptors for Non-Rigid Shapes with a Single Closed Contour
* Shape-based 3D Surface Correspondence using Geodesics and Local Geometry
* Simultaneous Tracking and Verification via Sequential Posterior Estimation
* Smooth Region Structure: Folds, Domes, Bowls, Ridges, Valleys, and Slopes
* Solving the Rotation-Estimation Problem by using the Perspective Three-Point Algorithm
* Spatio-Temporal Analysis of Omni Image
* Statistical Cues for Domain Specific Image Segmentation with Performance Analysis
* Statistical Method for 3D Object Detection Applied to Faces and Cars, A
* Statistical Modeling and Performance Characterization of a Real-Time Dual Camera Surveillance System
* Statistical Shape Influence in Geodesic Active Contours
* Statistics of Range Images
* Step Towards Sequence-to-Sequence Alignment, A
* Stereo based Gesture Recognition Invariant to 3D Pose and Lighting
* Stereo without Depth Search and Metric Calibration
* Stereoscopic Shading: Integrating Multi-Frame Shape Cues in a Variational Framework
* Structure from Motion using Points, Lines, and Intensities
* Structure from Motion without Correspondence
* Surface Growing from Stereo Images
* Surface Landmark Selection and Matching in Natural Terrain
* Template Deformation Constrained by Shape Priors
* Tomographic Reconstruction using Curve Evolution
* Towards Automatic Discovery of Object Categories
* Towards Detection of Human Motion
* Towards Reliable Fusion of Segmented Surface Descriptions
* Tracking of Elongated Structures using Statistical Snakes
* Tracking Segmented Objects using Tensor Voting
* Transformed Hidden Markov Models: Estimating Mixture Models of Images and Inferring Spatial Transformations in Video Sequences
* Two-Stage Robust Optical Flow Estimation
* Using Lexical Similarity in Handwritten Word Recognition
* Variable Albedo Surface Reconstruction from Stereo and Shape from Shading
* Video Summarization using Singular Value Decomposition
* View-Independent Recognition of Hand Postures
* Visual Servoing for Automatic and Uncalibrated Needle Placement for Percutaneous Procedures
* Visual Tunnel Analysis for Visibility Prediction and Camera Planning
* Visual Venture: investigations with images and videos for middle school education
* Visual websearching using iconic queries
* Wide Area Camera Calibration using Virtual Calibration Objects
* Zebra-Crossing Detection for the Partially Sighted
232 for CVPR00

CVPR01 * *CVPR
* 2D-3D Rigid Registration of X-Ray Fluoroscopy and CT Images Using Mutual Information and Sparsely Sampled Histogram Estimators
* 3-D Interpretation of Single Line Drawings Based on Entropy Minimization Principle
* 3D Biplanar Reconstruction of Scoliotic Vertebrae Using Statistical Models
* 3D Head Tracking Using Motion Adaptive Texture-Mapping
* 3D Line Motion Matrix and Alignment of Line Reconstructions, The
* 3D Model Generation for Cities Using Aerial Photographs and Ground Level Laser Scans
* 3D Object Recognition from Range Images using Local Feature Histograms
* 3D Reconstruction from 360 x 360 Mosaics
* 3D Simultaneous Localisation and Map-Building Using Active Vision for a Robot Moving on Undulating Terrain
* 3D Video Capture, Reconstruction, and Viewing Systems
* 3D-Orientation Signatures with Conic Kernel Filtering for Multiple Motion Analysis
* Adaptive Algorithm for Text Detection from Natural Scenes, An
* Adaptive Binning and Dissimilarity Measure for Image Retrieval and Classification
* Adaptive Quasiconformal Kernel Metric for Image Retrieval
* Affine Arithmetic Based Estimation of Cue Distributions in Deformable Model Tracking
* Alpha Channel Estimation in High Resolution Images and Image Sequences
* Analysis and Detection of Shadows in Video Streams: A Comparative Evaluation
* Analysis and Synthesis of Human Faces with Pose Variations by a Parametric Piecewise Linear Subspace Method
* Anti-Sequences: Event Detection by Frame Stacking
* Appearance-Based Object Recognition Using Multiple Views
* Articulated Body Posture Estimation from Multi-Camera Voxel Data
* Automated Cartridge Identification for Firearm Authentication
* Automatic Description of Buildings with Complex Rooftops from Multiple Images
* Automatic Determination of Camera Positions and Poses in a Sequence of Snapshots
* Automatic Estimation of the Projected Light Source Direction
* Automatic Partitioning of High Dimensional Search Spaces Associated with Articulated Body Motion Capture
* Bagging Is a Small-Data-Set Phenomenon
* Bayesian Approach to Digital Matting, A
* Bayesian Color Constancy for Outdoor Object Recognition
* Bayesian Learning of Sparse Classifiers
* Bayesian Tracking with Optical Flow Initialization and Re-initialization
* Bending Invariant Representations for Surfaces
* Better Proposal Distributions: Object Tracking Using Unscented Particle Filter
* Calibrated, Registered Images of an Extended Urban Area
* Camera Trajectory Estimation using Inertial Sensor Measurements and Structure from Motion Results
* Clustering Art
* Color Constant Ratio Gradients for Image Segmentation and Similarity of Textured Objects
* Combining Two-view Constraints for Motion Estimation
* Communication via Eye Blinks: Detection and Duration Analysis in Real Time
* Compact Representation of Bidirectional Texture Functions
* Comparison of Local Plane Fitting Methods for Range Data
* Component-based Face Detection
* Computer Vision System for Home Monitoring, A
* Computer Vision System for On-Screen Item Selection by Finger Pointing, A
* Computing Depth Maps from Descent Imagery
* Confidence Measure for Boundary Detection and Object Selection, A
* Constrained Minimum Cut for Classification Using Labeled and Unlabeled Data
* Constructing Facial Identity Surfaces in a Nonlinear Discriminating Space
* Constructing Models for Content-Based Image Retrieval
* Contextual Classification by Entropy-Based Polygonization
* Contour Grouping with Strong Prior Models
* Contracting Curve Density Algorithm and its Application to Model-based Image Segmentation, The
* Convex and Non-convex Illuminant Constraints for Dichromatic Colour Constancy
* Covariance Scaled Sampling for Monocular 3D Body Tracking
* Critical Configurations for N-view Projective Reconstruction
* Decomposed Eigenface for Face Recognition under Various Lighting Conditions
* Dense Image Matching with Global and Local Statistical Criteria: A Variational Approach
* Depth Layers from Occlusions
* Detection and Tracking of Shopping Groups in Stores
* Differential Methods for Nonmetric Calibration of Camera Lens Distortion
* Diffusion Tensor Regularization with Constraints Preservation
* Dimension Recognition and Geometry Reconstruction in Vectorization of Engineering Drawings
* Direct Appearance Models
* Discrimination of Motion Based on Traces in the Space of Probability Functions over Feature Relations
* Dynamic Bayesian Framework for Extracting Temporal Structure in Video
* Dynamic Coupled Component Analysis
* Dynamic Depth Recovery from Multiple Synchronized Video Streams
* Dynamic Shadow Elimination for Multi-Projector Displays
* Dynamic Texture Recognition
* Efficient Computation of Adaptive Threshold Surfaces for Image Binarization
* Efficient Evaluation of Classification and Recognition Systems
* Efficient Grouping under Perspective Skew
* Efficient Non-parametric Adaptive Color Modeling Using Fast Gauss Transform
* Efficient Spatiotemporal Grouping Using the Nystr÷m Method
* Eliminating Ghosting and Exposure Artifacts in Image Mosaics
* Enforcing Integrability for Surface Reconstruction Algorithms Using Belief Propagation in Graphical Models
* Epipolar Geometry Estimation for Non-Static Scenes by 4D Tensor Voting
* Equivalence and Efficiency of Image Alignment Algorithms
* Estimating 3D Body Pose using Uncalibrated Cameras
* Event Detection and Summarization in Sports Video
* Evolving Image Segmentations for the Analysis of Video Sequences
* Extended Performance Graphs for Cluster Retrieval
* Extraction of Illusory Linear Clues in Perspectively Skewed Documents
* Face Detection in a Video Sequence: A Temporal Approach
* Face Verification Using Error Correcting Output Codes
* Fast and Reliable Color Region Merging Inspired by Decision Tree Pruning
* Fast Focal Length Solution in Partial Panoramic Image Stitching
* Feature Reduction and Hierarchy of Classifiers for Fast Object Detection in Video Images
* Finding Folds: On the Appearance and Identification of Occlusion
* First Order Tensor Voting and Application to 3-D Scale Analysis
* Flexible Flow for 3D Nonrigid Tracking and Shape Recovery
* Frame-Rate Spatial Referencing Based on Invariant Indexing and Alignment with Application to Laser Retinal Surgery
* Framework for Multiple Snakes, A
* Framework for Sensor Planning and Control with Applications to Vision Guided Multi-Robot Systems, A
* Fully Automatic Panoramic Image Registration
* Gait Recognition from Time-normalized Joint-angle Trajectories in the Walking Plane
* Gait Recognition Using Static, Activity-Specific Parameters
* Gauge Fixing for Accurate 3D Estimation
* Generalized Dynamic Programming Approaches for Object Detection: Detecting Spine Boundaries and Vertebra Endplates
* Generic Model Abstraction from Examples
* Geocoded Terrestrial Mosaics Using Pose Sensors and Video Registration
* Geometric Blur and Template Matching
* Geometric Distributions for Catadioptric Sensor Design
* Graph-Spectral Method for Surface Height Recovery from Needle-Maps, A
* Grouping Connected Components Using Minimal Path Techniques: Application to Reconstruction of Vessels in 2D and 3D Images
* Handling Occlusions in Dense Multi-view Stereo
* Hierarchical Scheme for Representing Curves without Self-Intersections, A
* High-Resolution Panoramic Camera, A
* Houghing the Hough: Peak Collection for Detection of Corners, Junctions and Line Intersections
* Illumination Invariant Face Recognition Using Thermal Infrared Imagery
* Illumination Subspace for Multibody Motion Segmentation
* Image Indexing with Mixture Hierarchies
* Image Magnification Using Level-Set Reconstruction
* Image Registration by Aligning Entropies
* Image-based Modeling and Rendering of Surfaces with Arbitrary BRDFs
* Image-Based Surface Detail Transfer
* Improving the Scope of Deformable Model Shape and Motion Estimation
* Increasing the Discrimination Power of Spectral Spatial Gradients
* Instant Dehazing of Images Using Polarization
* Integrated Face and Gait Recognition from Multiple Views
* Investigation of Measures for Grouping by Graph Partitioning
* Issues on the Geometry of Central Catadioptric Image Formation
* JPDAF Based HMM for Real-Time Contour Tracking
* LDA/SVM Driven Nearest Neighbor Classification
* Learned Templates for Feature Extraction in Fingerprint Images
* Learning Flexible Sprites in Video Layers
* Learning Generative Models of Scene Features
* Learning Models for Object Recognition
* Learning Probabilistic Distribution Model for Multi-View Face Detection
* Learning Probabilistic Structure for Human Motion Detection
* Learning Representative Local Features for Face Detection
* Learning Similarity Measure for Natural Image Retrieval with Relevance Feedback
* Learning Spatially Localized, Parts-Based Representation
* Learning-Based Building Outline Detection from Multiple Aerial Images
* Light Field Rendering for Large-Scale Scenes
* Linear Image Coding for Regression and Classification using the Tensor-rank Principle
* Linear Iterative Method for Auto-Calibration using the DAC Equation, A
* Linear Subspaces for Illumination Robust Face Recognition
* Local Analysis for 3D Reconstruction of Specular Surfaces
* Local Feature View Clustering for 3D Object Recognition
* Local Gradient, Global Matching, Piecewise-Smooth Optical Flow
* Local Mode Filtering
* Matching of Double-Sided Document Images to Remove Interference
* Matching, Reconstructing and Grouping 3D Lines From Multiple Views Using Uncertain Projective Geometry
* Metric Self Calibration from Screw-Transform Manifolds
* Minimally Supervised Acquisition of 3D Recognition Models from Cluttered Images
* Mixtures of Trees for Object Recognition
* Model-Based 3D Tracking of an Articulated Hand
* Model-Based Curve Evolution Technique for Image Segmentation
* Model-Based Road Sign Identification System, A
* Model-Free Optimal Trajectories in the Image Space: Application to Robot Vision Control
* Morphable 3D Models from Video
* Morphological Color Quantization
* MRF-based Approach for Real-Time Subway Monitoring, A
* Multi-Object Tracking Using Dynamical Graph Matching
* Multibody Grouping via Orthogonal Subspace Decomposition
* Multispectral Skin Color Modeling
* Multiview Texture Models
* Multiview Texture Models
* Navier-Stokes, Fluid Dynamics, and Image and Video Inpainting
* Necessary Conditions to Attain Performance Bounds on Structure and Motion Estimates of Rigid Objects
* New 3-D Pattern Recognition Technique With Application to Computer Aided Colonoscopy, A
* New Analysis Framework for Relevance Feedback-Driven Similarity Measure Refinement in Content-Based Image Retrieval, A
* New Panorama, The
* New Signature-Based Method for Efficient 3-D Object Recognition, A
* Nine Points of Light: Acquiring Subspaces for Face Recognition under Variable Lighting
* Non-Metric Image-Based Rendering for Video Stabilization
* Non-Parametric Motion Recognition Using Temporal Multiscale Gibbs Models
* Non-Rigid Object Tracking using Performance Evaluation Measures as Feedback
* Nonparametric Statistical Comparison of Principal Component and Linear Discriminant Subspaces for Face Recognition, A
* Object Based Segmentation of Video Using Color, Motion and Spatial Information
* Object Recognition using Boosted Discriminants
* On 3D Scene Flow and Structure Estimation
* On Computing Exact Visual Hulls of Solids Bounded by Smooth Surfaces
* On Focal Length Calibration from Two Views
* On Photometric Aspects of Catadioptric Cameras
* On Representing Edge Structure for Model Matching
* On Solving 2D and 3D Puzzles Using Curve Matching
* On the Fundamental Limits of Reconstruction-Based Super-resolution Algorithms
* On the Individuality of Fingerprints
* On the Perceptual Organization of Texture and Shading Flows: From a Geometrical Model to Coherence Computation
* Open Problem in Matching Sets of 3D Lines, An
* Optimal Adaptive Learning for Image Retrieval
* Optimal Texture Map Reconstruction from Multiple Views
* Outlier Detection in Video Sequences under Affine Projection
* PACS Based Interface for 3D Anatomical Structures Visualization and Surgical Planning, A
* Pairwise Coupling for Machine Recognition of Hand-Printed Japanese Characters
* Parallel Processing 360-Degree Rotation Invariant Face Detection
* Parametric Representations for Nonlinear Modeling of Visual Data
* PDE Approach for Measuring Tissue Thickness, A
* Photometric Stereo with General, Unknown Lighting
* Piecewise Planar Segmentation for Automatic Scene Modeling
* Poseidon Technologies: The world's first and only computer-aided drowning detection system
* Precise Omnidirectional Camera Calibration
* Probabilistic Framework for Graph Clustering, A
* Probabilistic Framework for Surface Reconstruction from Multiple Images, A
* Probabilistic Tracking of Motion Boundaries with Spatiotemporal Predictions
* Production of Video Images by Computer Controlled Camera and Its Application to TV Conference System
* Provably-Convergent Iterative Methods for Projective Structure from Motion
* Pure Learning Approach to Background-Invariant Object Recognition Using Pedagogical Support Vector Learning, A
* Quantification, Visualization, and Motion Correction in Dynamic Processes
* Quantigraphic Imaging: Estimating the Camera Response and Exposures from Differently Exposed Images
* Radical Approach to Handwritten Chinese Character Recognition Using Active Handwriting Models, A
* Range-based Foreground Detection Using Visibility Constraints
* Rapid Object Detection using a Boosted Cascade of Simple Features
* Real Time 3D Template Matching
* Real-Time Affine Region Tracking and Coplanar Grouping
* Real-Time Multi-View Face Detection, Pose Estimation, Tracking, Alignment, and Recognition
* Real-Time Video Georegistration
* Recognition of Human Gaits
* Reconstruction of 3D Figure Motion from 2D Correspondences
* Reconstruction of Specular Surfaces using Polarization Imaging
* Recovering the Geometry of Single Axis Motions by Conic Fitting
* Rectifying Transformations That Minimize Resampling Effects
* Region-based MRF Model for Unsupervised Segmentation of Moving Objects in Image Sequences, A
* Registration Via Direct Methods: A Statistical Approach
* Relationship Between Spline-Based Deformable Models and Weighted Graphs in Non-rigid Matching, A
* Relief Mosaics by Joint View Triangulation
* Relighting with the Reflected Irradiance Field: Representation, Sampling and Reconstruction
* Removing Weather Effects from Monochrome Images
* Representation for Image Structure and Its Application to Object Selection Using Freehand Sketches, A
* Rethinking Classical Internal Forces for Active Contour Models
* Robot Homing Based on Corner Tracking in a Sequence of Panoramic Images
* Robust and Adaptive Integration of Multiple Range Images with Photometric Attributes
* Robust Change Detection by Fusing Intensity and Texture Differences
* Robust Crease Detection and Curvature Estimation of Piecewise Smooth Surfaces from Triangle Mesh Approximations Using Normal Voting
* Robust Online Appearance Models for Visual Tracking
* Robust Point Feature Matching in Projective Space
* Robust Regression for Data with Multiple Structures
* Robust Super-Resolution
* Role of Domain Knowledge in the Detection of Retinal Hard Exudates, The
* Salient Points for Content Based Retrieval
* Scalable, Absolute Position Recovery for Omni-Directional Image Networks
* Scene Text Extraction and Translation for Handheld Devices
* Scene-Consistent Detection of Feature Points in Video Sequences
* Segmentation and Boundary Detection Using Multiscale Intensity Measurements
* Segmentation and Tracking of Multiple Humans in Complex Situations
* Segmentation for Robust Tracking in the Presence of Severe Occlusion
* Self Correcting Projector, A
* Semi-Dense Stereo Correspondence with Dense Features
* Separation of Diffuse and Specular Reflection from Color Images
* Sequential Knowledge-Driven Scene Recognition Model
* Shadow Elimination and Occluder Light Suppression for Multi-Projector Displays
* Shape Contexts Enable Efficient Retrieval of Similar Shapes
* Similarity Templates for Detection and Recognition
* Simple Stereo Algorithm to Recover Precise Object Boundaries and Smooth Surfaces, A
* Simultaneous Linear Estimation of Multiple View Geometry and Lens Distortion
* Single View Modeling of Free-Form Scenes
* Skewed Symmetry Groups
* Small Sample Learning during Multimedia Retrieval Using BiasMap
* Spatial Information in Multiresolution Histograms
* Spatial Lesion Indexing for Medical Image Databases Using Force Histograms
* Spherical Eye from Multiple Cameras (Makes Better Models of the World), A
* Spin Discriminant Analysis(SDA): Using A One-Dimensional Classifier for High Dimensional Classification Problems
* Stability Issues in Recovering Illumination Distribution from Brightness in Shadows
* Statistics of Real-World Illumination
* Stereo Head Calibration from a Planar Object
* Structure and Motion Estimation with Expectation Maximization and Extended Kalman Smoother for Continuous Image Sequences
* Structure and Motion from Uncalibrated Catadioptric Views
* Subspace Approach to Layer Extraction, A
* Super-Resolution from Multiple Views Using Learnt Image Models
* Support Vector Tracking
* Systematic Design and Analysis Cycle of a Vision System: A Case Study in Video Surveillance, The
* Temporal Integration of Multiple Silhouette-based Body-part Hypotheses
* Text Identification in Complex Background Using SVM
* Texture Replacement in Real Images
* Three-Dimensional Medial Shape Representation Incorporating Object Variability
* Time-constrained Dynamic Semantic Compression for Video Indexing and Interactive Searching
* Time-varying Shape Tensors for Scenes with Multiply Moving Points
* Tool for Decomposing 3D Discrete Objects, A
* Topology Preserving Deformable Model Using Level Sets, A
* Tracking and Modeling Non-Rigid Objects with Rank Constraints
* Tracking Multiple Moving Objects with a Mobile Robot
* Tracking of Object with SVM Regression
* Tracking the Optic Nervehead in OCT Video Using Dual Eigenspaces and an Adaptive Vascular Distribution Model
* Two-body Segmentation from Two Perspective Views
* Two-Step Approach to Hallucinating Faces: Global Parametric Model and Local Nonparametric Model, A
* Understanding Popout through Repulsion
* Undoing Paper Curl Distortion Using Applicable Surfaces
* Unsupervised Face Recognition from Image Sequences Based on Clustering with Attraction and Repulsion
* Using an ICA Representation of High Dimensional Data for Object Recognition and Classification
* Using Occlusions to Aid Position Estimation for Visual Motion Capture
* Using Robust Methods for Automatic Extraction of Buildings
* Video Analysis using the Acadia I(TM) Single-Chip Vision System
* Video to Reference Image Alignment in the Presence of Sparse Features and Appearance Change
* View-Based Human Activity Recognition by Indexing and Sequencing
* View-Invariance in Action Recognition
* Virtual Sample Generation for Template-Based Shape Matching
* Vision System for Fast 3D Model Reconstruction, A
* Vitrionic sensors: Computer vision for an intelligent touchless water faucet and intelligent plumbing systems
* Weighted Non-negative Matrix Factorization for Local Representations, A
292 for CVPR01

CVPR03 * *CVPR
* 2D moving grid geometric deformable model, A
* 3D model retrieval with morphing-based geometric and topological feature maps
* 3D Modeling Using a Statistical Sensor Model and Stochastic Search
* 3D object modeling and recognition using affine-invariant patches and multi-view spatial constraints
* 3D shape from anistropic diffusion
* 3D surface modeling from range curves
* Active Unsupervised Texture Segmentation on a Diffusion Based Feature Space
* Activity recognition using the dynamics of the configuration of interacting objects
* Adaptation for multiple cue integration
* Adaptive pattern discovery for interactive multimedia retrieval
* Adaptive view-based appearance models
* Advanced gaussian MRF rotation-invariant texture features for classification of remote sensing imagery
* Analyzing appearance and contour based methods for object categorization
* Appearance management and cue fusion for 3D model-based tracking
* Automated feature-based range registration of urban scenes of large scale
* Automated multi-camera planar tracking correspondence modeling
* Automatic relighting of overlapping textures of a 3D model
* Background subtraction based on cooccurrence of image variations
* Bayesian approach to image-based visual hull reconstruction, A
* bayesian framework for fusing multiple word knowledge models in videotext recognition, A
* Bayesian human segmentation in crowded situations
* Bayesian Tangent Shape Model: Estimating Shape and Pose Parameters Via Bayesian Inference
* Bootstrapping SVM active learning by incorporating unlabelled images for image retrieval
* Classification based on symmetric maximized minimal distance in subspace (SMMS)
* Clustering appearances of objects under varying illumination conditions
* Computation of the shock scaffold for unorganized point clouds in 3D
* Computing layered surface representations: an algorithm for detecting and separating transparent overlays
* Constrained subspace modelling
* Constraint on five points in two images
* Constructing 3D city models by merging ground-based and airborne views
* Continuous tracking within and across camera streams
* Critical Configuration for Reconstruction from Rectilinear Motion, A
* Curvature correction of the Hamilton-Jacobi skeleton
* Deformable object tracking using the boundary element method
* Deformable pedal curves with application to face contour extraction
* Direct 3D-rotation estimation from spherical images via a generalized shift theorem
* Directional histogram model for three-dimensional shape similarity
* Discovering clusters in motion time-series data
* Document image enhancement using directional wavelet
* Dynamic depth recovery from unsynchronized video streams
* Editable dynamic textures
* effects of segmentation and feature choice in a translation model of object recognition, The
* efficient approach to learning inhomogeneous Gibbs model, An
* Efficient Solution to the Five-Point Relative Pose Problem, An
* Enhancing DPF for near-replica image recognition
* Enhancing Image and Video Retrieval: Learning via Equivalence Constraints
* Establishment shot detection using qualitative motion
* Estimating 3D hand pose from a cluttered image
* Estimating surface characteristics using physical reflectance models
* Estimating the photorealism of images: distinguishing paintings from photographs
* Estimation of omnidirectional camera model from epipolar geometry
* Evaluation of local models of dynamic backgrounds
* Evolvable visual commercial detector
* Example-based style synthesis
* Expectation Grammars: Leveraging High-Level Expectations for Activity Recognition
* Extracting dense features for visual correspondence with graph cuts
* Eye gaze tracking using an active stereo head
* Face alignment using statistical models and wavelet features
* Face authentication using the trace transform
* Face recognition in hyperspectral images
* Face recognition under variable lighting using harmonic image exemplars
* Face relighting with radiance environment maps
* Fast variable window for stereo correspondence using integral images
* Feature selection by maximum marginal diversity: Optimality and Implications for Visual Recognition
* Feature selection for reliable tracking using template matching
* Finding and tracking people from the bottom up
* Flux driven fly throughs
* Flux invariants for shape
* Fusing online and offline information for stable 3D tracking in real-time
* General C-Means Clustering Model and Its Application
* Generalized Principal Component Analysis (GPCA)
* High-accuracy stereo depth maps using structured light
* Homotopy-based computation of defocus blur and affine transform
* Hue fields and color curvatures: A Perceptual Organization Approach to Color Image Denoising
* hybrid approach for computing visual hulls of complex objects, A
* Hybrid evolutionary ridge regression approach for high-accurate corner extraction
* Illumination chromaticity estimation using inverse-intensity chromaticity space
* Illumination Normalization with Time-Dependent Intrinsic Images for Video Surveillance
* Image hallucination with primal sketch priors
* Image repairing: robust image synthesis by adaptive ND tensor voting
* Implicit meshes for modeling and reconstruction
* Implicit similarity: a new approach to multi-sensor image registration
* Improving continuous gesture recognition with spoken prosody
* Independent component analysis in a facial local residue space
* Joint 3D-reconstruction and background separation in multiple views using graph cuts
* Joint manifold distance: a new approach to appearance based clustering
* Kernel principal angles for classification machines with applications to image sequence interpretation
* Kinematic jump processes for monocular 3D human tracking
* Kullback-Leibler boosting
* Learning a discriminative classifier using shape context distances
* Learning Affinity Functions for Image Segmentation: Combining Patch-Based and Gradient-Based Approaches
* Learning appearance and transparency manifolds of occluded objects in layers
* Learning Bayesian network classifiers for facial expression recognition using both labeled and unlabeled data
* Learning dynamics for exemplar-based gesture recognition
* Learning epipolar geometry from image sequences
* Learning object intrinsic structure for robust visual tracking
* Line reconstruction from many perspective images by factorization
* Linear auto-calibration for ground plane motion
* Local appearance-based models using high-order statistics of image features
* Low-dimensional representations of shaded surfaces under varying illumination
* Man-made structure detection in natural images using a causal multiscale random field
* Many-to-many graph matching via metric embedding
* Markerless kinematic model and motion capture from volume sequences
* Mean-shift blob tracking through scale space
* Methods and geometry for plane-based self-calibration
* Motion Deblurring Using Hybrid Imaging
* Motion from 3D Line Correspondences: Linear and Non-Linear Solutions
* Motion segmentation with accurate boundaries: A tensor voting approach
* Multi-modal image registration by minimizing Kullback-Leibler distance between expected and observed joint class histograms
* Multi-resolution real-time stereo on commodity graphics hardware
* Multi-scale phase-based local features
* Multi-view stereo beyond Lambert
* Multilinear subspace analysis of image ensembles
* Nearest neighbor search for relevance feedback
* new graph-theoretic approach to clustering and segmentation, A
* new semi-supervised EM algorithm for image retrieval, A
* Nonparametric belief propagation
* Nonparametric information fusion for motion estimation
* novel convergence scheme for active appearance models, A
* novel model for orientation field of fingerprints, A
* novel support vector classifier with better rejection performance, A
* Object class recognition by unsupervised scale-invariant learning
* Object recognition based on photometric alignment using RANSAC
* Object removal by exemplar-based inpainting
* Object segmentation in videos from moving camera with MRFs on color and motion features
* Object segmentation using graph cuts based active contours
* Object-specific figure-ground segregation
* Occupant classification system for automotive airbag suppression
* On region merging: the statistical soundness of fast sorting, with applications
* On the fundamental performance for fingerprint matching
* optimal distance measure for object detection, The
* Optimal linear representations of images for object recognition
* Optimal segmentation of dynamic scenes from two perspective views
* PAMPAS: Real-Valued Graphical Models for Computer Vision
* Perception-based 3D triangle mesh segmentation using fast marching watersheds
* Performance Evaluation of Local Descriptors, A
* perspective on distortions, A
* Polydioptric camera design and 3D motion estimation
* Pose Reconstruction with an Uncalibrated Computed Tomography Imaging Device
* Practical non-parametric density estimation on a transformation group for vision
* Practical super-resolution from dynamic video sequences
* Probabilistic spatial context models for scene content understanding
* Probabilistic tracking in joint feature-spatial spaces
* Properties and Applications of Shape Recipes
* Qualitative image based localization in indoors environments
* Range image segmentation by surface extraction using an improved robust estimator
* Recognising and monitoring high-level behaviours in complex spatial environments
* Recognizing expression variant faces from a single sample image per class
* Recognizing Objects in Adversarial Clutter: Breaking a Visual CAPTCHA
* Representation and Detection of Deformable Shapes
* Resolution vs. tracking error: Zoom as a gain controller
* road sign recognition system based on dynamic visual model, A
* Robust crease detection in fingerprint images
* Robust data association for online applications
* Robust data clustering
* ROD-TV: reconstruction on demand by tensor voting
* S-AdaBoost and Pattern Detection in Complex Environment
* Scene detection in Hollywood movies and TV shows
* Seeing beyond occlusions (and other marvels of a finite lens aperture)
* Shadow Elimination and Occluder Light Suppression for Multi-Projector Displays
* Shape and materials by example: a photometric stereo approach
* Shape context and chamfer matching in cluttered scenes
* Shape-Based Recognition of Wiry Objects
* Shape-from-silhouette of articulated objects and its use for human body kinematics estimation and motion capture
* Shape-Time Photography
* Shedding light on the weather
* Simultaneous estimation of left ventricular motion and material properties with maximum a posteriori strategy
* Simultaneous feature selection and classifier training via linear programming: a case study for face expression recognition
* Simultaneous pose and correspondence determination using line features
* Simultaneous smoothing and estimation of the tensor field from diffusion tensor MRI
* Simultaneous structure and texture image inpainting
* Spacetime Stereo: A Unifying Framework for Depth from Triangulation
* Spacetime stereo: shape recovery for dynamic scenes
* sparse texture representation using affine-invariant regions, A
* Statistics of shape via principal geodesic analysis on lie groups
* Stereo matching with reflections and translucency
* Structure from motion for scenes without features
* Subset selection for efficient SVM tracking
* Surface reconstruction via Helmholtz reciprocity with a single image pair
* Surfaces with Occlusions from Layered Stereo
* Switching observation models for contour tracking in clutter
* Tensor-based brain surface modeling and analysis
* Texture classification: are filter banks necessary?
* Toward a statistically optimal method for estimating geometric relations from noisy data: cases of linear relations
* Toward a stratification of Helmholtz stereopsis
* Tracking appearances with occlusions
* Transforming camera geometry to a virtual downward-looking camera: robust ego-motion estimation and ground-layer detection
* Using many cameras as one
* Using multiple cues for hand tracking and model refinement
* variational framework for image segmentation combining motion estimation and shape regularization, A
* Variational inference for visual tracking
* Vector-Valued Image Regularization with PDEs: A Common Framework for Different Applications
* Video content annotation using visual analysis and a large semantic knowledgebase
* Video segmentation based on graphical models
* Video-Based Face Recognition Using Adaptive Hidden Markov Models
* Video-based face recognition using probabilistic appearance manifolds
* Video-rate stereo depth measurement on programmable hardware
* View invariants for human action recognition
* viewing graph, The
* Visual hull alignment and refinement across time: a 3D reconstruction algorithm combining shape-from-silhouette with stereo
* Visual landmarks detection and recognition for mobile robot navigation
* What is the space of camera response functions?
* What went where
* Wide-baseline multiple-view correspondences
* Word image matching using dynamic time warping
206 for CVPR03

CVPR04 * *CVPR
* 2D-Shape Analysis Using Conformal Mapping
* 3D facial tracking from corrupted movie sequences
* 3D head tracking based on recognition and interpolation using at ime-of-flight depth sensor
* 3D human pose from silhouettes by relevance vector regression
* 3D models coding and morphing for efficient video compression
* Accurate face models from uncalibrated and ill-lit video sequences
* Affine image registration using a new information metric
* affine invariant tensor dissimilarity measure and its applications to tensor-valued image segmentation, An
* Algebraic solution for the visual hull
* algorithm for multiple object trajectory tracking, An
* Alignment of Continuous Video onto 3D Point Clouds
* Approximation of canonical sets and their applications to 2D view simplification
* Articulated models from video
* Asymmetrically boosted HMM for speech reading
* Atlanta world: an expectation maximization framework for simultaneous low-level edge grouping and camera calibration in complex man-made environments
* Audio-visual based emotion recognition-a new approach
* Augmenting images of non-rigid scenes using point and curve correspondences
* Autocalibration & 3D reconstruction with non-central catadioptric cameras
* Automatic cascade training with perturbation bias
* Automatic method for correlating horizons across faults in 3D seismic data
* Automatic view recognition in echocardiogram videos using parts-based representation
* Bayesian assembly of 3D axially symmetric shapes from fragments
* Bayesian face recognition using support vector machine and face clustering
* Bayesian fusion of camera metadata cues in semantic scene classification
* Bayesian video matting using learnt image priors
* Biventricular myocardial kinematics based on tagged MRI from anatomical NURBS models
* BoostMap: a method for efficient approximate similarity rankings
* Bridging the gaps between cameras
* Brightness Perception, Dynamic Range and Noise: A Unifying Model for Adaptive Image Sensors
* Calibrating an air-ground control system from motion correspondences
* Camera calibration from a single night sky image
* Camera network calibration from dynamic silhouettes
* Capturing Image Structure with Probabilistic Index Maps
* Clear underwater vision
* cognitive vision system for action recognition in office environments, A
* Collaborative tracking of multiple targets
* Color alignment in texture mapping of images under point light source and general lighting condition
* Color Lines: Image Specific Color Representation.
* Computing depth under ambient illumination using multi-shuttered light
* Corefaces-robust shift invariant PCA based correlation filter for illumination tolerant face recognition
* correlation-based model prior for stereo, A
* Covariance-driven mosaic formation from sparsely-overlapping image sets with application to retinal image mosaicing
* Cue integration through discriminative accumulation
* Cyclic articulated human motion tracking by sequential ancestral simulation
* Detecting and reading text in natural scenes
* Detecting unusual activity in video
* Detection and removal of rain from videos
* Detection and tracking of objects in underwater video
* Diffeomorphic matching of distributions: a new approach for unlabelled point-sets and sub-manifolds matching
* Difference sphere: An approach to near light source estimation
* Direct super-resolution and registration using raw CFA images
* discriminative feature space for detecting and recognizing faces, A
* Discriminative Learning Framework with Pairwise Constraints for Video Object Classification, A
* Distortion estimation techniques in solving visual CAPTCHAs
* Dual-space linear discriminant analysis for face recognition
* Dynamic geodesic snakes for visual tracking
* Effect of colorspace transformation,the illuminance component,and color modeling on skin detection
* Efficient Belief Propagation for Early Vision
* Efficient graphical models for processing images
* Efficient model-based linear head motion recovery from movies
* Efficient search of faces from complex line drawings
* Efficient Tracking with the Bounded Hough Transform
* Elastic-string models for representation and analysis of planar shapes
* EM-like algorithm for color-histogram-based object tracking, An
* Error analysis for a navigation algorithm based on optical-flow and a digital terrain map
* Estimating illumination direction from textured images
* Estimation of blood flow speed and vessel location from thermal video
* Estimation, smoothing, and characterization of apparent diffusion coefficient profiles from high angular resolution DWI
* Extracting semantic information through illumination classification
* Extraction and integration of window in a 3D building model from ground view images
* Extraction and recognition of periodically deforming objects by continuous, spatio-temporal shape description
* Eye typing off the shelf
* Face localization via hierarchical Condensation with Fisher boosting feature selection
* Facial event classification with task oriented dynamic Bayesian network
* Fast Contour Matching Using Approximate Earth Mover's Distance
* fast multigrid implicit algorithm for the evolution of geodesic active contours, A
* Fast wide baseline matching for visual navigation
* Fast, integrated person tracking and activity recognition with plan-view templates from a single stereo camera
* Faster graph-theoretic image processing via small-world and quadtree topologies
* Feature selection for classifying high-dimensional numerical data
* Feature-centric evaluation for efficient cascaded object detection
* flexible projector-camera system for multi-planar displays, A
* Flexible spatial models for grouping local image features
* Frame synchronization and multi-level subspace analysis for video based face recognition
* From facial expression to level of interest: a spatio-temporal approach
* From Fragments to Salient Closed Boundaries: An In-Depth Study
* Generalized quotient image
* Geometric and shading correction for images of printed materials a unified approach using boundary
* Gibbs likelihoods for Bayesian tracking
* Globally optimal segmentation of interacting surfaces with geometric constraints
* GMM parts based face representation for improved verification through relevance adaptation, A
* graphical model framework for coupling MRFs and deformable models, A
* Graphical models for graph matching
* Grouping dominant orientations for ill-structured road following
* Grouping with bias revisited
* Hidden semantic concept discovery in region based image retrieval
* Hierarchical decision making scheme for sports video categorisation with temporal post-processing
* High resolution video mosaicing with global alignment
* High-speed videography using a dense camera array
* High-zoom video hallucination by exploiting spatio-temporal regularities
* How features of the human face affect recognition: a statistical comparison of three face recognition algorithms
* Hybrid textons: modeling surfaces with reflectance and geometry
* Hyperspectral texture classification using generalized Markov fields
* Improving object classification in far-field video
* Incremental density approximation and kernel-based Bayesian filtering for object tracking
* Inference of multiple subspaces from high-dimensional data and application to multibody grouping
* Inferring 3D body pose from silhouettes using activity manifold learning
* Integrating and employing multiple levels of zoom for activity recognition
* Integrating multiple model views for object recognition
* Invariant operators, small samples, and the bias-variance dilemma
* invariant, closed-form solution for matching sets of 3D lines, An
* Is bottom-up attention useful for object recognition?
* Jitter camera: high resolution video from a low resolution detector
* Joint feature-basis subset selection
* Joint prior models of neighboring objects for 3D image segmentation
* Learning a restricted bayesian network for object detection
* Learning classifiers from imbalanced data based on biased minimax probability machine
* Learning distance functions for image retrieval
* Learning methods for generic object recognition with invariance to pose and lighting
* Learning Object Detection from a Small Number of Examples: The Importance of Good Features
* Learning to segment images using region-based perceptual features
* Lie-algebraic averaging for globally consistent motion estimation
* Linear model hashing and batch RANSAC for rapid and accurate object recognition
* Linear projection methods in face recognition under unconstrained illuminations: a comparative study
* Linear sequence-to-sequence alignment
* Local facial asymmetry for expression classification
* Local smoothing for manifold learning
* LX minimization in geometric reconstruction problems
* Making one object look like another: Controlling appearance using a projector-camera system
* Metamorphs: deformable shape and texture models
* method of vector fields for catadioptric sensor design with applications to panoramic imaging, The
* Minimal Solution to the Generalised 3-Point Pose Problem, A
* Minimum Effective Dimension for Mixtures of Subspaces: A Robust GPCA Algorithm and its Applications
* model for dynamic shape and its applications, A
* Model-based motion clustering using boosted mixture modeling
* Modeling complex motion by tracking and editing hidden markov graphs
* Modelling the effects of walking speed on appearance-based gait recognition
* Models of large population recognition performance
* Motion Estimation by Swendsen-Wang Cuts
* Motion Layer Extraction in the Presence of Occlusion Using Graph Cuts
* Motion segmentation with missing data using powerfactorization and GPCA
* Motion without correspondence from tomographic projections by Bayesian inversion theory
* Motion-based background subtraction using adaptive kernel density estimation
* Multi-classifier framework for atlas-based image segmentation
* Multi-scale visual tracking by sequential belief propagation
* Multibody factorization with uncertainty and missing data using the EM algorithm
* Multibody motion segmentation based on simulated annealing
* Multibody Trifocal Tensor: Motion Segmentation from 3 Perspective Views, The
* Multigrid and Multi-Level Swendsen-Wang Cuts for Hierarchic Graph Partition
* Multiobjective data clustering
* Multiple Bernoulli relevance models for image and video annotation
* Multiple kernel tracking with SSD
* Multiscale conditional random fields for image labeling
* Multiview occlusion analysis for tracking densely populated objects based on 2-D visual angles
* Names and faces in the news
* new GPCA algorithm for clustering subspaces by fitting, differentiating and dividing polynomials, A
* non-parametric approach for independent component analysis using kernel density estimation, A
* Non-rigid shape and motion recovery: degenerate deformations
* Novel region-based modeling for human detection within highly dynamic aquatic environment
* Object-based image retrieval using the statistical structure of images
* On the Distribution of Saliency
* Optimizing motion estimation with linear programming and detail-preserving variational method
* Orthogonal complement component analysis for positive samples in SVM based relevance feedback image retrieval
* Parts-based 3D object classification
* PCA-SIFT: a more distinctive representation for local image descriptors
* Perceptual organization of radial symmetries
* Perspective shape-from-shading by fast marching
* Point matching as a classification problem for fast and robust object pose estimation
* Pointwise motion tracking in echocardiographic images
* Probabilistic data association methods in visual tracking of groups
* Probabilistic expression analysis on manifolds
* probabilistic framework for combining tracking algorithms, A
* Probabilistic identity characterization for face recognition
* Probabilistic parameter-free motion detection
* Probability models for high dynamic range imaging
* Programmable imaging using a digital micromirror array
* Propagation networks for recognition of partially ordered sequential action
* Proposal maps driven MCMC for estimating human body pose in static images
* Radiometric alignment of image sequences
* Radiometric calibration from a single image
* Radiometric calibration of a Helmholtz stereo rig
* Random sampling based SVM for relevance feedback image retrieval
* Random sampling LDA for face recognition
* Rao-Blackwellized particle filter for eigentracking, A
* Real-time combined 2D+3D active appearance models
* Reconstructing 3D independent motions using non-accidentalness
* Reconstructing open surfaces from unorganized data points
* Recovering Human Body Configurations: Combining Segmentation and Recognition
* Recovering shape and irradiance maps from rich dense texton fields
* Recovering shape and reflectance model of non-lambertian objects from multiple views
* Region-based progressive stereo matching
* Registration of diffusion tensor images
* Representation and matching of articulated shapes
* Restoration of curved document images through 3D shape modeling
* Robust color object detection using spatial-color joint probability functions
* Robust subspace clustering by combined use of kNND metric and SVD algorithm
* Role of shape and kinematics in human movement analysis
* Scalable discriminant feature selection for image retrieval and recognition
* Scale Selection for Anisotropic Scale-Space: Application to Volumetric Tumor Characterization
* Scale-invariant shape features for recognition of object categories
* Searching the web with mobile images for location recognition
* Segment-based stereo matching using graph cuts
* Segmentation using multiscale cues
* segmentation-free approach for skeletonization of gray-scale images via anisotropic vector diffusion, A
* Segmenting, Modeling, and Matching Video Clips Containing Multiple Moving Objects
* Selecting ghosts and queues from a car trackers output using a spatio-temporal query language
* Self shadowing and local illumination of randomly rough surfaces
* Self-normalized linear tests
* Separating reflections from a single image using local features
* Separating style and content on a nonlinear manifold
* Shape constrained image segmentation by parametric distributional clustering
* Shape correspondence through landmark sliding
* Shape Representation and Classification Using the Poisson Equation
* Shaping receptive fields for affine invariance
* Sharing Features: Efficient Boosting Procedures for Multiclass Object Detection
* Shedding light on stereoscopic segmentation
* Similarity measure and learning with gray level aura matrices (GLAM) for texture image retrieval
* Simultaneous calibration and tracking with a network of non-overlapping sensors
* Space-Time Isosurface Evolution for Temporally Coherent 3D Reconstruction
* Space-time video completion
* Spatially coherent clustering using graph cuts
* Spherical harmonics vs. Haar wavelets: Basis for Recovering Illumination from Cast Shadows
* SPS algorithm: patching figural continuity and transparency by split-patch search, The
* Statistical feature fusion for gait-based human recognition
* Stereo Correspondence with Slanted Surfaces: Critical Implications of Horizontal Slant
* Studies on silhouette quality and gait recognition
* Super-resolution through neighbor embedding
* Synchronizing video sequences
* Thermal face recognition in an operational scenario
* Tomographic reconstruction of piecewise smooth images
* Towards robust structure-based enhancement and horizon picking in 3-D seismic data
* Tracking loose-limbed people
* Tracking multiple humans in crowded environment
* Uncalibrated and unsynchronized human motion capture: A Stereo Factorization Approach
* Uncontrolled Modulation Imaging
* unified framework for uncertainty propagation in automatic shape tracking, A
* unified spatio-temporal articulated model for tracking, A
* Unsupervised Learning of Image Manifolds by Semidefinite Programming
* unsupervised, online learning framework for moving object detection, An
* Using plane + parallax for calibrating dense camera arrays
* Using skew Gabor filter in source signal separation and local spectral multi-orientation analysis
* Value directed learning of gestures and facial displays
* Variational Approach to Problems in Calibration of Multiple Cameras, A
* variational approach to scene reconstruction and image segmentation from motion-blur cues, A
* Variational mixture smoothing for non-linear dynamical systems
* Video data mining using configurations of viewpoint invariant regions
* Video Repairing: Inference of Foreground and Background Under Severe Occlusion
* Video stabilization as a variational problem and numerical solution with the viterbi method
* View independent human body pose estimation from a single perspective image
* Visual odometry
* Visual odometry and map correlation
* Visual tracking using learned linear subspaces
* Wavelet-based hierarchical surface approximation from height fields
* What image information is important in silhouette-based gait recognition?
* Wide baseline feature matching using the cross-epipolar ordering constraint
* Wide-baseline stereo from multiple views: A probabilistic account
* Window-based, discontinuity preserving stereo
* world in an eye, The
259 for CVPR04

CVPR05 * *CVPR
* 2D Statistical Models of Facial Expressions for Realistic 3D Avatar Animation
* 3D Articulated Motion Estimation from Images
* 3D Geometric and Optical Modeling of Warped Document Images from Scanners
* 3D Reconstruction by Fitting Low-Rank Matrices with Missing Data
* 8D-THERMO CAM: Combination of Geometry with Physiological Information for Face Recognition
* Accurate and Efficient Stereo Processing by Semi-Global Matching and Mutual Information
* Accurate Motion Layer Segmentation and Matting
* Actions Sketch: A Novel Action Representation
* Active Contours Using a Constraint-Based Implicit Representation
* Active Polyhedron: Surface Evolution Theory Applied to Deformable Meshes
* Activity Recognition and Abnormality Detection with the Switching Hidden Semi-Markov Model
* Addressing Radiometric Nonidealities: A Unified Framework
* Affine Object Tracking with Kernel-Based Spatial-Color Representation
* Algebraically Accurate Volume Registration Using Euler's Theorem and the 3-D Pseudo-Polar FFT
* ALIP: The Automatic Linguistic Indexing of Pictures System
* Analytically Solving Radial Distortion Parameters
* Appearance Modeling for Tracking in Multiple Non-Overlapping Cameras
* Appearance-Guided Particle Filtering for Articulated Hand Tracking
* Applying Neighborhood Consistency for Fast Clustering and Kernel Density Estimation
* ARTag: a Fiducial Marker System Using Digital Techniques
* Articulated Structure from Motion by Factorization
* Asymmetrical Occlusion Handling Using Graph Cut for Multi-View Stereo
* Audio-Visual Affect Recognition through Multi-Stream Fused HMM for HCI
* Automatic 3D to 2D Registration for the Photorealistic Rendering of Urban Scenes
* Automatic Face Recognition for Film Character Retrieval in Feature-Length Films
* Automatic Thermal Monitoring System (ATHEMOS) for Deception Detection
* Axiomatic Approach to Corner Detection, An
* Background Recognition in Dynamic Scenes with Motion Constraints
* Band-Weighted Landuse Classification Method for Multispectral Images, A
* Bayesian 3D Modeling from Images Using Multiple Depth Maps
* Bayesian Approach to Unsupervised Feature Selection and Density Estimation Using Expectation Propagation, A
* Bayesian Hierarchical Model for Learning Natural Scene Categories, A
* Bayesian Image Segmentation Using Wavelet-Based Priors
* Bayesian Mixture Model for Multi-View Face Alignment, A
* Bayesian Object Detection in Dynamic Scenes
* Bayesian Super-Resolution of Text in Video with a Text-Specific Bimodal Prior
* Beyond Lambert: Reconstructing Specular Surfaces Using Color
* Beyond Pairwise Clustering
* Bi-Layer Segmentation of Binocular Stereo Video
* Blob Segmentation Using Joint Space-Intensity Likelihood Ratio Test: Application to 3D Tumor Segmentation
* Boosting Saliency in Color Image Features
* Calibration of Pan-Tilt-Zoom (PTZ) Cameras and Omni-Directional Cameras
* Camera Calibration and Light Source Estimation from Images with Shadows
* Camera Matchmoving in Unprepared, Unknown Environments
* Caratheodory-Fejer Approach to Dynamic Appearance Modeling, A
* Cerebral Vascular Atlas Generation for Anatomical Knowledge Modeling and Segmentation Purpose
* Classification of Contour Shapes Using Class Segment Sets
* Closed Form Solution to Direct Motion Segmentation, A
* Cloth Representation by Shape from Shading with Shading Primitives
* Coherent Regions for Concise and Stable Image Description
* Colour Constancy Using the Chromagenic Constraint
* Combined Physical and Statistical Approach to Colour Constancy, A
* Combining Object and Feature Dynamics in Probabilistic Tracking
* Combining Variable Selection with Dimensionality Reduction
* Complex 3D Shape Recovery Using a Dual-Space Approach
* Computer Vision for Music Identification
* Computer Vision for Music Identification: Video Demonstration
* Concurrent Subspaces Analysis
* Conformal Deskewing of Non-Planar Documents
* Contrast Enhancement of Multi-Displays Using Human Contrast Sensitivity
* Corrected Laplacians: Closer Cuts and Segmentation with Shape Priors
* Correspondence Expansion for Wide Baseline Stereo
* Coupled Kernel-Based Subspace Learning
* Coupled PDEs for Non-Rigid Registration and Segmentation
* Creating Invariance to Nuisance Parameters in Face Recognition
* Cross-Generalization: Learning Novel Classes from a Single Example by Feature Replacement
* Cross-Validatory Statistical Approach to Scale Selection for Image Denoising by Nonlinear Diffusion, A
* Damped Newton Algorithms for Matrix Factorization with Missing Data
* Database-Guided Segmentation of Anatomical Structures with Complex Appearance
* Decentralized Multiple Target Tracking Using Netted Collaborative Autonomous Trackers
* Dense Photometric Stereo Using a Mirror Sphere and Graph Cut
* Dense Photometric Stereo Using Tensorial Belief Propagation
* Dense Stereo Matching Using Two-Pass Dynamic Programming with Generalized Ground Control Points, A
* Detecting Doctored Images Using Camera Response Normality and Consistency
* Detecting, Localizing and Recovering Kinematics of Textured Animals
* Detection and Explanation of Anomalous Activities: Representing Activities as Bags of Event n-Grams
* Determining the Radiometric Response Function from a Single Grayscale Image
* Diagram Structure Recognition by Bayesian Conditional Random Fields
* Digital Tapestry
* Direct Method for 3D Factorization of Nonrigid Motion Observed in 2D, A
* Direct Method for Modeling Non-Rigid Motion with Thin Plate Spline, A
* Discriminant Analysis with Tensor Representation
* Discriminative Density Propagation for 3D Human Motion Estimation
* Discriminative Framework for Modelling Object Classes, A
* Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data
* Discriminative Training for Object Recognition Using Image Patches
* Distinctiveness, Detectability, and Robustness of Local Image Features, The
* Driver State Monitor from DELPHI
* Dynamic Conditional Random Field Model for Object Segmentation in Image Sequences, A
* Dynamic Environment Exploration Using a Virtual White Cane
* Dynamosaics: Video Mosaics with Non-Chronological Time
* Efficient Image Matching with Distributions of Local Invariant Features
* Efficient Mean-Shift Tracking via a New Similarity Measure
* Efficient Multiclass Object Detection by a Hierarchy of Classifiers
* Efficient Nearest Neighbor Classification Using a Cascade of Approximate Similarity Measures
* Efficient Real-Time Algorithms for Eye State and Head Pose Tracking in Advanced Driver Support Systems
* Energy Minimization via Graph Cuts: Settling What is Possible
* Ensemble Tracking
* Estimating 3D Shape and Texture Using Pixel Intensity, Edges, Specular Highlights, Texture Constraints and a Prior
* Estimating Disparity and Occlusions in Stereo Video Sequences
* Evaluating Image Retrieval
* Eye Gaze Tracking under Natural Head Movements
* Face Modeling and Analysis in Stony Brook University
* Face Recognition Based on Frontal Views Generated from Non-Frontal Images
* Face Recognition with Image Sets Using Manifold Density Divergence
* Face Synthesis and Recognition from a Single Image under Arbitrary Unknown Lighting Using a Spherical Harmonic Basis Morphable Model
* Face Verification Across Age Progression
* Facial Muscle Activations from Motion Capture
* Factorization-Based Approach to Articulated Motion Recovery, A
* Factorization-Based Approach to Articulated Motion Recovery, A
* Fast Illumination-Invariant Background Subtraction Using Two Views: Error Analysis, Sensor Placement and Applications
* Fast Spatial Pattern Discovery Integrating Boosting with Constellations of Contextual Descriptors
* Feature Kernel Functions: Improving SVMs Using High-Level Knowledge
* Feature Uncertainty Arising from Covariant Image Noise
* Feature-Level Fusion in Personal Identification
* Fields of Experts: A Framework for Learning Image Priors
* Finding Glass
* Fisher+Kernel Criterion for Discriminant Analysis
* Flattening Curved Documents in Images
* Flow-Based Approach to Vehicle Detection and Background Mosaicking in Airborne Video, A
* Formulating Semantic Image Annotation as a Supervised Learning Problem
* Framework of 2D Fisher Discriminant Analysis: Application to Face Recognition with Small Number of Training Samples, A
* Full Body Tracking from Multiple Views Using Stochastic Sampling
* Full-Frame Video Stabilization
* Generative Model of Human Hair for Hair Sketching, A
* Generative versus Discriminative Methods for Object Recognition
* Geo-Consistency for Wide Multi-Camera Stereo
* Geodesic Computation for Adaptive Remeshing
* Graph Embedding: A General Framework for Dimensionality Reduction
* Guided Sampling via Weak Motion Models and Outlier Sample Generation for Epipolar Geometry Estimation
* Hallucinating Faces: TensorPatch Super-Resolution and Coupled Residue Compensation
* Hand Tracking with Flocks of Features
* Hierarchical Part-Based Visual Object Categorization
* High Resolution Grammatical Model for Face Representation and Sketching, A
* Higher Order Whitening of Natural Images
* Higher-Order Image Statistics for Unsupervised, Information-Theoretic, Adaptive, Image Filtering
* Histograms of Oriented Gradients for Human Detection
* Hybrid Graphical Model for Robust Feature Extraction from Video, A
* Hybrid Joint-Separable Multibody Tracking
* Hybrid Models for Human Motion Recognition
* Identifying Semantically Equivalent Object Fragments
* Illumination Normalization for Face Recognition and Uneven Background Correction Using Total Variation Based Image Models
* Illumination-Invariant Tracking via Graph Cuts
* Image Denoising Using Non-Negative Sparse Coding Shrinkage Algorithm
* Imaging the Cardiovascular Pulse
* Implicit Surfaces Make for Better Silhouettes
* Indexing with Unknown Illumination and Pose
* Infomax Boosting
* Integral Histogram: A Fast Way To Extract Histograms in Cartesian Spaces
* Integrated Learning of Saliency, Complex Features, and Object Detectors from Cluttered Scenes
* Integration of Motion Fields through Shape
* Interactive Graph Cut Based Segmentation with Shape Priors
* Interactive Montages of Sprites for Indexing and Summarizing Security Video
* Interactive Pinpoint Image Object Removal
* Interactive Shape from Shading
* Inverse Polarization Raytracing: Estimating Surface Shapes of Transparent Objects
* Isophote Properties as Features for Object Detection
* Jensen-Shannon Boosting Learning for Object Recognition
* Joint Nonparametric Alignment for Analyzing Spatial Gene Expression Patterns in Drosophila Imaginal Discs
* Kernel-Based Bayesian Filtering for Object Tracking
* Learn Discriminant Features for Multi-View Face and Eye Detection
* Learning a Multi-Size Patch-Based Hybrid Kernel Machine Ensemble for Abnormal Region Detection in Colonoscopic Images
* Learning a Similarity Metric Discriminatively, with Application to Face Verification
* Learning and Detecting Activities from Movement Trajectories Using the Hierarchical Hidden Markov Models
* Learning Appearance Manifolds from Video
* Learning Feature Distance Measures for Image Correspondences
* Learning Spatiotemporal T-Junctions for Occlusion Detection
* Learning the Semantics of Images by Using Unlabeled Samples
* Learning to Estimate Human Pose with Data Driven Belief Propagation
* Learning to Track: Conceptual Manifold Map for Closed-Form Tracking
* Learning with Constrained and Unlabelled Data
* Level Set Active Contours on Unstructured Point Cloud
* Level Set Based Shape Prior Segmentation
* Level Set Evolution without Re-Initialization: A New Variational Formulation
* Linear Combination Representation for Outlier Detection in Motion Tracking
* Local Color Transfer via Probabilistic Segmentation by Expectation-Maximization
* Local Discriminant Embedding and Its Variants
* Localization in Urban Environments: Monocular Vision Compared to a Differential GPS Sensor
* Locally Adaptive Support-Weight Approach for Visual Correspondence Search
* Machine Learning for Clinical Diagnosis from Functional Magnetic Resonance Imaging
* Mapping Low-Level Features to High-Level Semantic Concepts in Region-Based Image Retrieval
* Markov Random Field Approach for Dense Photometric Stereo, A
* Matching with PROSAC: Progressive Sample Consensus
* Measure of Deformability of Shapes, with Applications to Human Motion Analysis, A
* MER-DIMES: A Planetary Landing Application of Computer Vision
* Mercer Kernels for Object Recognition with Local Features
* Minimal Solution for Relative Pose with Unknown Focal Length, A
* Mixture Trees for Modeling and Fast Conditional Sampling with Applications in Vision and Graphics
* Modeling and Learning Contact Dynamics in Human Motion
* Modeling Dynamic Scenes with Active Appearance
* Modelling Dynamic Scenes by Registering Multi-View Image Sequences
* Modelling Reflections via Multiperspective Imaging
* Modified pbM-Estimator Method and a Runtime Analysis Technique for the RANSAC Family, The
* Monocular 3-D Tracking of the Golf Swing
* Monocular 3-D Tracking of the Golf Swing
* MosaicShape: Stochastic Region Grouping with Shape Prior
* Motion Segmentation of Multiple Translating Objects Using Line Correspondences
* Moving Cast Shadow Detection from a Gaussian Mixture Shadow Model
* MRF Augmented Particle Filter Tracker
* Multi-Image Matching Using Multi-Scale Oriented Patches
* Multi-Output Regularized Projection
* Multi-View Geometry for General Camera Models
* Multi-View Stereo via Volumetric Graph-Cuts
* Multilabel Random Walker Image Segmentation Using Prior Models
* Multilinear Independent Components Analysis
* Multimodal Face Recognition: Combination of Geometry with Physiological Information
* Multiple Collaborative Kernel Tracking
* Multiple Object Tracking with Kernel Particle Filter
* Multiscale Segmentation by Combining Motion and Intensity Cues
* Multitarget Tracking with Split and Merged Measurements
* Near Real-Time Reliable Stereo Matching Using Programmable Graphics Hardware
* New Active Contour Method Based on Elastic Interaction, A
* Non-Local Algorithm for Image Denoising, A
* Nonlinear Approach for Face Sketch Synthesis and Recognition, A
* Nonlinear Face Recognition Based on Maximum Average Margin Criterion
* Nonparametric Subspace Analysis for Face Recognition
* Obj Cut
* Object Class Recognition by Boosting a Part-Based Model
* Object Class Recognition Using Multiple Layer Boosting with Heterogeneous Features
* Object Detection Using 2D Spatial Ordering Constraints
* Object Detection Using 2D Spatial Ordering Constraints
* Object Recognition with Features Inspired by Visual Cortex
* On Modelling Nonlinear Shape-and-Texture Appearance Manifolds
* On the Absolute Quadratic Complex and Its Application to Autocalibration
* On the Localization of Straight Lines in 3D Space from Single 2D Images
* On the Small Sample Performance of Boosted Classifiers
* On-Line Learning Mechanism for Unsupervised Classification and Topology Representation, An
* Online Detection and Classification of Moving Objects Using Progressively Improving Detectors
* Online Learning of Probabilistic Appearance Manifolds for Video-Based Recognition and Tracking
* Online Modeling and Tracking of Pose-Varying Faces in Video
* Online Selecting Discriminative Tracking Features Using Particle Filter
* Optical Flow Estimation and Segmentation of Multiple Moving Dynamic Textures
* Optimal Point Correspondence through the Use of Rank Constraints
* Optimal Sub-Shape Models by Minimum Description Length
* Optimization Design of Cascaded Classifiers
* Ordinal Palmprint Represention for Personal Identification
* Overview of the Face Recognition Grand Challenge
* Parameter Estimation for MRF Stereo
* Part-Based Statistical Models for Object Classification and Detection
* Particle Filtering for Geometric Active Contours with Application to Tracking Moving and Deforming Objects
* Pedestrian Detection in Crowded Scenes
* Personal Identification Utilizing Finger Surface Features
* Pixels that Sound
* Polarization Multiplexing for Bidirectional Imaging
* Pose-Robust Face Recognition Using Geometry Assisted Probabilistic Modeling
* Principled Approach to Detecting Surprising Events in Video, A
* Probabilistic Fusion of Stereo with Color and Contrast for Bi-Layer Segmentation
* Probabilistic Kernels for the Classification of Auto-Regressive Visual Processes
* Probabilistic Modeling-Based Vessel Enhancement in Thoracic CT Scans
* Projector-Camera System with Real-Time Photometric Adaptation for Dynamic Environments, A
* Projector-Camera System with Real-Time Photometric Adaptation for Dynamic Environments, A
* Pruning Training Sets for Learning of Object Categories
* Quantitative Evaluation of a Novel Image Segmentation Algorithm
* Radial Trifocal Tensor: A Tool for Calibrating the Radial Distortion of Wide-Angle Cameras, The
* Radon-Based Structure from Motion without Correspondences
* Random Subspaces and Subsampling for 2-D Face Recognition
* Random Subwindows for Robust Image Classification
* Randomized Trees for Real-Time Keypoint Recognition
* Range Data Registration Using Photometric Features
* Rank-R Approximation of Tensors: Using Image-as-Matrix Representation
* Rational Function Lens Distortion Model for General Cameras, A
* Real-Time Connectivity Constrained Depth Map Computation Using Programmable Graphics Hardware
* Real-Time Multiple Objects Tracking with Occlusion Handling in Dynamic Scenes
* Real-Time Non-Rigid Surface Detection
* Real-Time Tracking Using Level Sets
* Real-Time Tracking with Multiple Cues by Set Theoretic Random Search
* Real-Time Wide Area Multi-Camera Stereo Tracking
* Recognizing Facial Expression: Machine Learning and Application to Spontaneous Behavior
* Reflection Components Decomposition of Textured Surfaces Using Linear Basis Functions
* Reflections on the Generalized Bas-Relief Ambiguity
* Region Competition via Local Watershed Operators
* Representational Oriented Component Analysis (ROCA) for Face Recognition with One Sample Image per Training Class
* Restoration and Recognition in a Loop
* RGB-Z: Mapping a Sparse Depth Map to a High Resolution RGB Camera Image
* Robust and Efficient Foreground Analysis for Real-Time Video Surveillance
* Robust Boosting for Learning from Few Examples
* Robust Centerline Extraction Framework Using Level Sets
* Robust Face Detection with Multi-Class Boosting
* Robust Instantaneous Rigid Motion Estimation
* Robust L-1 Norm Factorization in the Presence of Outliers and Missing Data by Alternative Convex Programming
* Robust Object Detection via Soft Cascade
* Scene-Adapted Structured Light
* Segmentation Induced by Scale Invariance
* Segmentation of a Piece-Wise Planar Scene from Perspective Images
* Segmentation of Edge Preserving Gradient Vector Flow: An Approach Toward Automatically Initializing and Splitting of Snakes
* Selection and Fusion of Color Models for Feature Detection
* Semi-Supervised Active Learning Framework for Image Retrieval, A
* Semi-Supervised Adapted HMMs for Unusual Event Detection
* Semi-Supervised Cross Feature Learning for Semantic Concept Detection in Videos
* Semi-Supervised Learning Based Object Detection in Aerial Imagery
* Shape from Shading: A Well-Posed Problem?
* Shape Matching and Object Recognition Using Low Distortion Correspondences
* Shape Regularized Active Contour Using Iterative Global Search and Local Optimization
* Shock Filters Based on Implicit Cluster Separation
* SIFT Descriptor with Global Context, A
* Simultaneous Estimation of Segmentation and Shape
* Simultaneous Modeling and Tracking (SMAT) of Feature Sets
* Single Image Phase-Based MRI Fat Suppression Expectation Maximization Algorithm
* Skeletal Parameter Estimation from Optical Motion Capture Data
* Skeletal Parameter Estimation from Optical Motion Capture Data
* Slit Scanning Depth of Route Panorama from Stationary Blur, A
* Space-Time Behavior Based Correlation
* Sparse Object Category Model for Efficient Learning and Exhaustive Recognition, A
* Sparse Support Vector Machine Approach to Region-Based Image Categorization, A
* Spatial Priors for Part-Based Recognition Using Statistical Models
* Spatiograms versus Histograms for Region-Based Tracking
* Speckle-Constrained Filtering of Ultrasound Images
* Spectral Segmentation with Multiscale Graph Decomposition
* Statistical Cue Integration for Foveated Wide-Field Surveillance
* Statistical Field Model for Pedestrian Detection, A
* Stereo Correspondence by Dynamic Programming on a Tree
* Strike a Pose: Tracking People by Finding Stylized Poses
* Subspace Analysis Using Random Mixture Models
* Symmetric Stereo Matching for Occlusion Handling
* Synchronization and Calibration of a Camera Network for 3D Event Reconstruction from Live Video
* Tangent-Corrected Embedding
* Tensor Decomposition for Geometric Grouping and Segmentation, A
* Theoretical Analysis on Reconstruction-Based Super-Resolution for an Arbitrary PSF
* Theory for Variational Area-Based Segmentation Using Non-Quadratic Penalty Functions
* Tone Reproduction: A Perspective from Luminance-Driven Perceptual Grouping
* Top-Down and Bottom-Up Strategies in Lesion Detection of Background Diabetic Retinopathy
* Towards Complete Generic Camera Calibration
* Tracking Multiple Colored Blobs with a Moving Camera
* Tracking Multiple Mouse Contours (without Too Many Samples)
* Tracking Multiple Objects through Occlusions
* Tracking Multiple Objects through Occlusions
* Tracking Non-Stationary Appearances and Dynamic Feature Selection
* Tracking People and Recognizing Their Activities
* Two Level Approach for Scene Recognition, A
* Two-Stage Level Set Evolution Scheme for Man-Made Objects Detection in Aerial Images, A
* Two-View Geometry Estimation Unaffected by a Dominant Plane
* Two-View Multibody Structure-and-Motion with Outliers
* Unified Framework for Tracking through Occlusions and across Sensor Gaps, A
* Unified Optimization Based Learning Method for Image Retrieval, A
* Unstructured Point Cloud Matching within Graph-Theoretic and Thermodynamic Frameworks
* Unsupervised Learning in Radiology Using Novel Latent Variable Models
* Unsupervised Learning of Discriminative Edge Measures for Vehicle Matching between Non-Overlapping Cameras
* Unsupervised Learning of Object Features from Video Sequences
* Using Coupled Subspace Models for Recovery of Reflectance Spectra from Airborne Images
* Using Particles to Track Varying Numbers of Interacting People
* Using the Inner-Distance for Classification of Articulated Shapes
* Using the KL-Center for Efficient and Accurate Retrieval of Distributions Arising from Texture Images
* Vehicle Fingerprinting for Reacquisition and Tracking in Videos
* Vehicle Segmentation and Tracking from a Low-Angle Off-Axis Camera
* Video Epitomes
* Videoshop: A New Framework for Spatio-Temporal Video Editing in Gradient Domain
* Visibility Constrained Surface Evolution
* Visual Concepts for News Story Tracking: Analyzing and Exploiting the NIST TRECVID Video Annotation Experiment
* Visual Tracking in the Presence of Motion Blur
* WaldBoost: Learning for Time Constrained Sequential Detection
* Weighted Nearest Mean Classifier for Sparse Subspaces, A
* Why I Want a Gradient Camera
* Wide-Baseline Stereo Matching with Line Segments
354 for CVPR05

CVPR06 * *CVPR
* 3-D Shape Reconstruction of Retinal Fundus
* 3D Alignment of Face in a Single Image
* 3D Building Detection and Modeling from Aerial LIDAR Data
* 3D Face Recognition Using 3D Alignment for PCA
* 3D Facial Expression Recognition Based on Primitive Surface Feature Distribution
* 3D People Tracking with Gaussian Process Dynamical Models
* 3D Reconstruction of Background and Objects Moving on Ground Plane Viewed from a Moving Camera
* 3D Surface Matching and Recognition Using Conformal Geometry
* Accelerated Kernel Feature Analysis
* Acceleration Strategies for Gaussian Mean-Shift Image Segmentation
* Accurate Face Alignment using Shape Constrained Markov Network
* Accurate Tracking of Monotonically Advancing Fronts
* Active Graph Cuts
* Activity Analysis in Microtubule Videos by Mixture of Hidden Markov Models
* AdaBoost.MRF: Boosted Markov Random Forests and Application to Multilevel Activity Recognition
* Adaptive Appearance Model Approach for Model-based Articulated Object Tracking, An
* Affine Invariance Revisited
* Aligning ASL for Statistical Translation Using a Discriminative Word Model
* Animals on the Web
* AnnoSearch: Image Auto-Annotation by Search
* Applying Ensembles of Multilinear Classifiers in the Frequency Domain
* Are two rotational flows sufficient to calibrate a smooth non-parametric sensor?
* Augmenting Shape with Appearance in Vehicle Category Recognition
* Automatic Cast Listing in Feature-Length Films with Anisotropic Manifold Space
* Automatic Discovery of Action Taxonomies from Multiple Views
* Automatic Kinematic Chain Building from Feature Trajectories of Articulated Objects
* Automatic Landmark Tracking and its Application to the Optimization of Brain Conformal Mapping
* Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
* Bilayer Segmentation of Live Video
* Binocular Stereo Dense Matching in the Presence of Specular Reflections
* Blind Haze Separation
* Body Localization in Still Images Using Hierarchical Models and Hybrid Search
* BoostMotion: Boosting a Discriminative Similarity Function for Motion Estimation
* Bottleneck Geodesic: Computing Pixel Affinity, The
* Bottom-Up and Top-down Object Detection using Primal Sketch Features and Graphical Models
* Classifying Human Dynamics Without Contact Forces
* Closed-Form Solution to Natural Image Matting, A
* Clustering Appearance for Scene Analysis
* Color Subspaces as Photometric Invariants
* Combined Depth and Outlier Estimation in Multi-View Stereo
* Combining Cues: Shape from Shading and Texture
* Comparing Belief Propagation and Graph Cuts for Novelty Detection
* Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms, A
* Composite Templates for Cloth Modeling and Sketching
* Computing Exact Discrete Minimal Surfaces: Extending and Solving the Shortest Path Problem in 3D with Application to Segmentation
* Conditional Random People: Tracking Humans with CRFs and Grid Filters
* Conic Section Classifier and its Application to Image Datasets, A
* Context and Hierarchy in a Probabilistic Image Model
* Continuous Super-Resolution for Recovery of 1-D Image Features: Algorithm and Performance Modeling
* Contour-Based Structure from Reflection
* Control Theory and Fast Marching Techniques for Brain Connectivity Mapping
* Correlated Label Propagation with Application to Multi-label Learning
* Cosegmentation of Image Pairs by Histogram Matching: Incorporating a Global Constraint into MRFs
* Counting Crowded Moving Objects
* Coupled Bayesian Framework for Dual Energy Image Registration
* Covariance Tracking using Model Update Based on Lie Algebra
* CSIFT: A SIFT Descriptor with Color Invariant Characteristics
* Deformation Modeling for Robust 3D Face Matching
* Depth from Familiar Objects: A Hierarchical Model for 3D Scenes
* Design of High-Level Features for Photo Quality Assessment, The
* Design Principle for Coarse-to-Fine Classification, A
* Detection Technique for Degraded Face Images, A
* Differential Tracking based on Spatial-Appearance Model (SAM)
* Diffusion Distance for Histogram Comparison
* Dimensionality Reduction by Learning an Invariant Mapping
* Discriminative Learning of Mixture of Bayesian Network Classifiers for Sequence Classification
* Discriminative Object Class Models of Appearance and Shape by Correlatons
* Distributed Cost Boosting and Bounds on Mis-classification Cost
* Dynamic Appearance Modeling for Human Tracking
* Dynamic Bayesian Network Model for Autonomous 3D Reconstruction from a Single Indoor Image, A
* Dynamics Based Robust Motion Segmentation
* Edge Suppression by Gradient Field Transformation Using Cross-Projection Tensors
* Efficiency Criterion for 2D Shape Model Selection, An
* Efficient Maximally Stable Extremal Region (MSER) Tracking
* Efficient Nonparametric Belief Propagation with Application to Articulated Body Tracking
* Efficient Optimal Kernel Placement for Reliable Visual Tracking
* Element-Free Elastic Models for Volume Fitting and Capture
* Epipolar Geometry of Central Projection Systems Using Veronese Maps
* Equivalence of Non-Iterative Algorithms for Simultaneous Low Rank Approximations of Matrices
* Escaping local minima through hierarchical model selection: Automatic object discovery, segmentation, and tracking in video
* Estimating Intrinsic Component Images using Non-Linear Regression
* Euclidean Structure from Confocal Conics: Theory and Application to Camera Calibration
* Extracting Subimages of an Unknown Category from a Set of Images
* Face Recognition using 2.5D Shape Information
* Fast Compact City Modeling for Navigation Pre-Visualization
* Fast Human Detection Using a Cascade of Histograms of Oriented Gradients
* Fast Variational Segmentation using Partial Extremal Initialization
* Feature Selection for Evaluating Fluorescence Microscopy Images in Genome-Wide Cell Screens
* Framework for Feature Selection for Background Subtraction, A
* Fully Automatic Registration of 3D Point Clouds
* Function Space of an Activity, The
* Fusion of Detection and Matching Based Approaches for Laser Based Multiple People Tracking
* Fusion of Summation Invariants in 3D Human Face Recognition
* General Framework and New Alignment Criterion for Dense Optical Flow, A
* Generalized EM Approach for 3D Model Based Face Recognition under Occlusions, A
* Generative-Discriminative Hybrid Method for Multi-View Object Detection, A
* Geodesic Active Contour Framework for Finding Glass, A
* Geometric Hashing with Local Affine Frames
* Gesture Recognition using Hidden Markov Models from Fragmented Observations
* Globally Optimal Grouping for Symmetric Boundaries
* Graph Based Approach for Naming Faces in News Photos, A
* Graph Laplacian Kernels for Object Classification from a Single Example
* Graph Partitioning by Spectral Rounding: Applications in Image Segmentation and Clustering
* Grouping with Asymmetric Affinities: A Game-Theoretic Perspective
* Groupwise point pattern registration using a novel CDF-based Jensen-Shannon Divergence
* Hidden Conditional Random Fields for Gesture Recognition
* Hierarchical Procrustes Matching for Shape Retrieval
* Hierarchical Statistical Learning of Generic Parts of Object Structure
* Hierarchical Volumetric Multi-view Stereo Reconstruction of Manifold Surfaces based on Dual Graph Embedding
* Homography from Coplanar Ellipses with Application to Forensic Blood Splatter Reconstruction
* How Do Movie Viewers Perceive Scene Structure from Dynamic Cues
* How many planar viewing surfaces are there in noncentral catadioptric cameras? Towards singe-image localization of space lines
* Human Carrying Status in Visual Surveillance
* Identifying Color in Motion in Video Sensors
* Image Comparison by Compound Disjoint Information
* Image Completion Using Global Optimization
* Image Denoising Via Learned Dictionaries and Sparse representation
* Image Denoising with Shrinkage and Redundant Representations
* Image Matching Using Photometric Information
* Image Pre-Conditioning for Out-of-Focus Projector Blur
* Image-Based Multiclass Boosting and Echocardiographic View Classification
* Image-Segmentation Evaluation From the Perspective of Salient Object Extraction
* Impact of Dynamics on Subspace Embedding and Tracking of Sequences
* Improved watershed segmentation using water diffusion and local shape priors
* Improving Border Localization of Multi-Baseline Stereo Using Border-Cut
* Improving Recognition of Novel Input with Similarity
* Incorporating the Boltzmann Prior in Object Detection Using SVM
* Incremental learning of object detectors using a visual shape alphabet
* Inferring Facial Action Units with Causal Relations
* Instant 3Descatter
* Integrated Model of Top-Down and Bottom-Up Attention for Optimizing Detection Speed, An
* Integrated Segmentation and Classification Approach Applied to Multiple Sclerosis Analysis, An
* Integration of Top-down and Bottom-up Information for Image Labeling
* Intelligent Collaborative Tracking by Mining Auxiliary Objects
* Intensity-augmented Ordinal Measure for Visual Correspondence, An
* Interactive Feature Tracking using K-D Trees and Dynamic Programming
* Joint Boosting Feature Selection for Robust Face Recognition
* Joint Illumination and Shape Model for Visual Tracking, A
* Joint Recognition of Complex Events and Track Matching
* Kernel Uncorrelated and Orthogonal Discriminant Analysis: A Unified Approach
* Kernel-based Template Alignment
* Landmark-Based Geodesic Computation for Heuristically Driven Path Planning
* Large-scale Learning with SVM and Convolutional for Generic Object Categorization
* Layout Consistent Random Field for Recognizing and Segmenting Partially Occluded Objects, The
* Learning a manifold-constrained map between image sets: Applications to matching and pose estimation
* Learning Boosted Asymmetric Classifiers for Object Detection
* Learning Distance Metrics with Contextual Constraints for Image Retrieval
* Learning Exemplar-Based Categorization for the Detection of Multi-View Multi-Pose Objects
* Learning Joint Top-Down and Bottom-up Processes for 3D Visual Inference
* Learning Non-Metric Partial Similarity Based on Maximal Margin Criterion
* Learning Object Shape: From Drawings to Images
* Learning Patch Dependencies for Improved Pose Mismatched Face Verification
* Learning Semantic Patterns with Discriminant Localized Binary Projections
* Learning Temporal Sequence Model from Partially Labeled Data
* Lensless Imaging with a Controllable Aperture
* Local Features, All Grown Up
* Local Steerable Phase (LSP) Feature for Face Representation and Recognition
* Locally Linear Models on Face Appearance Manifolds with Application to Dual-Subspace Based Classification
* Making a Long Video Short: Dynamic Video Synopsis
* Mean Field EM-algorithm for Coherent Occlusion Handling in MAP-Estimation Prob, A
* Measure Locally, Reason Globally: Occlusion-sensitive Articulated Pose Estimation
* Measurement integration under inconsistency for robust tracking
* Mesostructure from Specularity
* Meta-Evaluation of Image Segmentation Using Machine Learning
* Model Order Selection and Cue Combination for Image Segmentation
* Modeling Age Progression in Young Faces
* Modeling and Classifying Breast Tissue Density in Mammograms
* Modeling Correspondences for Multi-Camera Tracking Using Nonlinear Manifold Learning and Target Dynamics
* Modular Approach to the Analysis and Evaluation of Particle Filters for Figure Tracking, A
* Motion Estimation from Spheres
* Motion Patterns: High-Level Representation of Natural Video Sequences
* MRFs for MRIs: Bayesian Reconstruction of MR Images via Graph Cuts
* Multi-Aspect Detection of Articulated Objects
* Multi-Camera Scene Flow by Tracking 3-D Points and Surfels
* Multi-Channel Algorithm for Edge Detection Under Varying Lighting, A
* Multi-Object Tracking Through Simultaneous Long Occlusions and Split-Merge Conditions
* Multi-Resolution Patch Tensor for Facial Expression Hallucination
* Multi-Resolution Spin-Images
* Multi-Target Tracking: Linking Identities using Bayesian Network Inference
* Multi-View Stereo Revisited
* Multiclass Object Recognition with Sparse, Localized Features
* Multiple Face Model of Hybrid Fourier Feature for Large Face Image Set
* Multiple Object Class Detection with a Generative Model
* Multiscale Nonlinear Diffusion and Shock Filter for Ultrasound Image Enhancement
* Multiview Geometry for Texture Mapping 2D Images Onto 3D Range Data
* Neighborhood Aided Implicit Active Contours
* New Deformable Model for Boundary Tracking in Cardiac MRI and Its Application to the Detection of Intra-Ventricular Dyssynchrony, A
* New Formulation for Shape from Shading for Non-Lambertian Surfaces, A
* New Method of Probability Density Estimation with Application to Mutual Information Based Image Registration
* Noise Estimation from a Single Image
* Non-rigid Image Registration Using Geometric Features and Local Salient Region Features
* Non-Rigid Metric Shape and Motion Recovery from Uncalibrated Images Using Priors
* Nonlinear Mean Shift for Clustering over Analytic Manifolds
* Nonparametric Priors on the Space of Joint Intensity Distributions for Non-Rigid Multi-Modal Image Registration
* Novel Data Association Algorithm for Object Tracking in Clutter with Application to Tennis Video Analysis, A
* Object Pose Detection in Range Scan Data
* Off-road Path Following using Region Classification and Geometric Projection Constraints
* On Manifold Structure of Cardiac MRI Data: Application to Segmentation
* On-line Boosting and Vision
* Optimal Pose for Face Recognition
* Panoramic 3D Reconstruction Using Rotational Stereo Camera with Simple Epipolar Constraints
* Panum Proxy Algorithm for Dense Stereo Matching over a Volume of Interest, The
* Parameterized Duration Mmodeling for Switching Linear Dynamic Systems
* Particle Video: Long-Range Motion Estimation Using Point Trajectories
* Perception Strategies in Hierarchical Vision Systems
* Perceptually-Inspired and Edge-Directed Color Image Super-Resolution
* Performance Modeling and Prediction of Face Recognition Systems
* Person Reidentification Using Spatiotemporal Appearance
* Picture Collage
* Piecewise Image Registration in the Presence of Multiple Large Motions
* Planar Light Probe, A
* Polarization-based Surface Reconstruction via Patch Matching
* Principled Hybrids of Generative and Discriminative Models
* Probabilistic 3D Polyp Detection in CT Images: The Role of Sample Alignment
* Projective Invariant for Textures, A
* Pursuing Informative Projection on Grassmann Manifold
* Putting Objects in Perspective
* Quantitative Evaluation of Near Regular Texture Synthesis Algorithms
* Rank-One Projections With Adaptive Margins for Face Recognition
* RANSAC for (Quasi-)Degenerate data (QDEGSA
* Real Time Localization and 3D Reconstruction
* Real-time Hand Pose Recognition Using Low-Resolution Depth Images
* Real-time Image-Based Guidance Method for Lung-Cancer Assessment
* Real-Time Semi-Automatic Segmentation Using a Bayesian Network
* Real-Time Visual SLAM with Resilience to Erratic Motion
* Reciprocal Image Features for Uncalibrated Helmholtz Stereopsis
* Recognition of Composite Human Activities through Context-Free Grammar Based Representation
* Recognize High Resolution Faces: From Macrocosm to Microcosm
* Reconstructing Occluded Surfaces Using Synthetic Apertures: Stereo, Focus and Robust Measures
* Reconstruction in the Round Using Photometric Normals and Silhouettes
* Reconstruction with Interval Constraints Propagation
* Recovering Camera Motion Using L-inf Minimization
* Recursive estimation of generative models of video
* Recursive Recovery of Position and Orientation from Stereo Image Sequences without Three-Dimensional Structures
* Refractive Camera for Acquiring Stereo and Super-resolution Images, A
* Region-based Image Annotation using Asymmetrical Support Vector Machine-based Multiple-Instance Learning
* Region-Tree Based Stereo Using Dynamic Programming Optimization
* Registration Problem Revisited: Optimal Solutions From Points, Lines and Planes, The
* Regression-based Hand Pose Estimation from Multiple Cameras
* Removing Outliers Using The L-inf Norm
* Robust AAM Fitting by Fusion of Images and Disparity Data
* Robust Fragments-based Tracking using the Integral Histogram
* Robust multi-target tracking using spatio-temporal context
* Robust People Tracking with Global Trajectory Optimization
* Robust Real-Time Face Pose and Facial Expression Recovery
* Robust Tracking and Stereo Matching under Variable Illumination
* Robust Visual Tracking Using Case-Based Reasoning with Confidence
* Satellite Features for the Classification of Visually Similar Classes
* Scalable Monocular SLAM
* Scalable Recognition with a Vocabulary Tree
* Scale Variant Image Pyramids
* Scale-Driven Iterative Optimization for Brain Extraction and Registration
* SDG Cut: 3D Reconstruction of Non-lambertian Objects Using Graph Cuts on Surface Distance Grid
* Seamless Image Stitching of Scenes with Large Motions and Exposure Differences
* Searching Off-line Arabic Documents
* Segmentation by Level Sets and Symmetry
* Selecting Principal Components in a Two-Stage LDA Algorithm
* Semi-Supervised Classification Using Linear Neighborhood Propagation
* Separation of Highlight Reflections on Textured Surfaces
* Shape from Dynamic Texture for Planes
* Shape from Shading: Recognizing the Mountains through a Global View
* Shape Guided Object Segmentation
* Shape Representation based on Integral Kernels: Application to Image Matching and Segmentation
* Shape Representation for Planar Curves by Shape Signature Harmonic Embedding, A
* Shape Topics: A Compact Representation and New Algorithms for 3D Partial Shape Retrieval
* Shape-Based Approach to Robust Image Segmentation using Kernel PCA
* Simple Bayesian Framework for Content-Based Image Retrieval, A
* Simultaneous Registration and Modeling of Deformable Shapes
* Single View Reconstruction of Curved Surfaces
* Single-image vignetting correction using radial gradient symmetry
* Solving Markov Random Fields using Second Order Cone Programming Relaxations
* Space-Time Video Montage
* Sparse and Semi-supervised Visual Mapping with the S^3GP
* Spatial Divide and Conquer with Motion Cues for Tracking through Clutter
* Spatial Reflectance Recovery under Complex Illumination from Sparse Images
* Spatial Weighting for Bag-of-Features
* Spectral Methods for Automatic Multiscale Data Clustering
* Specular Flow and the Recovery of Surface Structure
* Statistical Analysis of Local 3D Structure in 2D Images
* Stereo Matching with Color-Weighted Correlation, Hierachical Belief Propagation and Occlusion Handling
* Stereo Matching with Symmetric Cost Functions
* Stereo Vision in Structured Environments by Consistent Semi-Global Matching
* Structure and View Estimation for Tomographic Reconstruction: A Bayesian Approach
* Structure from Motion with Known Camera Positions
* Successive Convex Matching for Action Detection
* Supervised Learning of Edges and Object Boundaries
* Surface Geometric Constraints for Stereo in Belief Propagation
* Surface Reconstruction of Bone from X-ray Images and Point Distribution Model Incorporating a Novel Method for 2D-3D Correspondence
* SVM-KNN: Discriminative Nearest Neighbor Classification for Visual Category Recognition
* Three-Dimensional Volume Reconstruction Based on Trajectory Fusion from Confocal Laser Scanning Microscope Images
* Toward Optimal Kernel-based Tracking
* Toward Robust Distance Metric Analysis for Similarity Estimation
* Towards Multi-View Object Class Detection
* Tracking of Multiple, Partially Occluded Humans based on Static Body Part Detection
* Tracking of the Articulated Upper Body on Multi-View Stereo Image Sequences
* Tracking With Sobolev Active Contours
* Training Deformable Models for Localization
* Transformation invariant component analysis for binary images
* Tunable Kernels for Tracking
* Ultrasound-Specific Segmentation via Decorrelation and Statistical Region-Based Active Contours
* Uncertainty Models in Quasiconvex Optimization for Geometric Reconstruction
* Unsupervised Bayesian Detection of Independent Motion in Crowds
* Unsupervised Discovery of Action Classes
* Unsupervised Learning of Categories from Sets of Partially Matching Image Features
* Using Bilinear Models for View-invariant Action and Identity Recognition
* Using Dependent Regions for Object Categorization in a Generative Framework
* Using Language to Drive the Perceptual Grouping of Local Image Features
* Using Multiple Segmentations to Discover Objects and their Extent in Image Collections
* Using Stationary-Dynamic Camera Assemblies for Wide-area Video Surveillance and Selective Attention
* Vertical Parallax from Moving Shadows
* Vessel Crawlers: 3D Physically-based Deformable Organisms for Vasculature Segmentation and Analysis
* Video Completion by Motion Field Transfer
* Visible Surface Reconstruction from Normals with Discontinuity Consideration
* Visual Vocabulary for Flower Classification, A
* Weakly Supervised Top-down Image Segmentation
* When Fisher meets Fukunaga-Koontz: A New Look at Linear Discriminants
* Wire Structure Pattern Extraction and Tracking From X-Ray Images of Composite Mechanisms
318 for CVPR06

CVPR07 * *CVPR
* 3D Face Recognition Founded on the Structural Diversity of Human Faces
* 3D Face Recognition in the Presence of Expression: A Guidance-based Constraint Deformation Approach
* 3D Layout CRF for Multi-View Object Class Recognition and Segmentation
* 3D Occlusion Inference from Silhouette Cues
* 3D Probabilistic Feature Point Model for Object Detection and Recognition
* Accurate Object Detection with Deformable Shape Models Learnt from Images
* Accurate Object Localization with Shape Masks
* Accurate, Dense, and Robust Multi-View Stereopsis
* Accurately measuring human movement using articulated ICP with soft-joint constraints and a repository of articulated models
* Active Aperture Control and Sensor Modulation for Flexible Imaging
* Adaptive Distance Metric Learning for Clustering
* Algorithms for Batch Matrix Factorization with Application to Structure-from-Motion
* Approximate Nearest Subspace Search with Applications to Pattern Recognition
* Artificial Complex Cells via the Tropical Semiring
* Autocalibration and Uncalibrated Reconstruction of Shape from Defocus
* Autocalibration via Rank-Constrained Estimation of the Absolute Quadric
* Automatic Face Recognition from Skeletal Remains
* Automatic Removal of Chromatic Aberration from a Single Image
* Belief Propagation in a 3D Spatio-temporal MRF for Moving Object Detection
* Benchmark for the Comparison of 3-D Motion Segmentation Algorithms, A
* Beyond bottom-up: Incorporating task-dependent influences into a computational model of spatial attention
* Beyond Local Appearance: Category Recognition from Pairwise Interactions of Simple Features
* Biased Manifold Embedding: A Framework for Person-Independent Head Pose Estimation
* Bilattice-based Logical Reasoning for Human Detection
* Binning Scheme for Fast Hard Drive Based Image Search, A
* Blind Source Separation Perspective on Image Restoration, A
* Boosting Coded Dynamic Features for Facial Action Units and Facial Expression Recognition
* boosting regression approach to medical anatomy detection, A
* Bottom-Up Recognition and Parsing of the Human Body
* Bridging the Gap between Detection and Tracking for 3D Monocular Video-Based Motion Capture
* Canonical Face Depth Map: A Robust 3D Representation for Face Verification
* Capturing long-range correlations with patch models
* Change Detection in a 3-d World
* City-Scale Location Recognition
* Classifying Video with Kernel Dynamic Textures
* Closed-form Solution to 3D Reconstruction of Piecewise Planar Objects from Single Images, A
* Closed-Loop Tracking and Change Detection in Multi-Activity Sequences
* Color Constancy using Natural Image Statistics
* Combining local and global motion models for feature point tracking
* Combining Region and Edge Cues for Image Segmentation in a Probabilistic Gaussian Mixture Framework
* Combining Static Classifiers and Class Syntax Models for Logical Entity Recognition in Scanned Historical Documents
* Composite Models of Objects and Scenes for Category Recognition
* Compositional Boosting for Computing Hierarchical Image Structures
* Concurrent Multiple Instance Learning for Image Categorization
* Connecting the Out-of-Sample and Pre-Image Problems in Kernel Methods
* Consistent Temporal Variations in Many Outdoor Scenes
* Content-Based Image Annotation Refinement
* contextual dissimilarity measure for accurate and efficient image search, A
* Contextual Identity Recognition in Personal Photo Albums
* CRF-driven Implicit Deformable Model
* Crisp Weighted Support Vector Regression for robust single model estimation: application to object tracking in image sequences
* Deformable Motion Tracking of Cardiac Structures (DEMOTRACS) for Improved MR Imaging
* Deformable Surface Tracking Ambiguities
* Delaunay Deformable Models: Topology-Adaptive Meshes Based on the Restricted Delaunay Triangulation
* Detailed Human Shape and Pose from Images
* Detecting Object Boundaries Using Low-, Mid-, and High-level Information
* Detecting Pedestrians by Learning Shapelet Features
* Detecting Specular Surfaces on Natural Images
* Detection and segmentation of moving objects in highly dynamic scenes
* Detector Ensemble
* Differential Camera Tracking through Linearizing the Local Appearance Manifold
* Digital Topology on Adaptive Octree Grids
* Direct and Efficient Method for Piecewise-Planar Surface Reconstruction from Stereo Images, A
* Discontinuity Preserving Filtering over Analytic Manifolds
* Discovery of Collocation Patterns: from Visual Words to Visual Phrases
* Discriminant Additive Tangent Spaces for Object Recognition
* Discriminant Interest Points are Stable
* Discriminant Mutual Subspace Learning for Indoor and Outdoor Face Recognition
* Discriminative Cluster Refinement: Improving Object Category Recognition Given Limited Training Data
* Discriminative Learning of Dynamical Systems for Motion Tracking
* Dynamic 3D Scene Analysis from a Moving Vehicle
* Efficient Belief Propagation for Vision Using Linear Constraint Nodes
* Efficient Indexing For Articulation Invariant Shape Matching And Retrieval
* Efficient Minimal Solution for Infinitesimal Camera Motion, An
* Efficient MRF Deformation Model for Non-Rigid Image Matching
* Efficient new-view synthesis using pairwise dictionary priors
* Efficiently Determining Silhouette Consistency
* Eigenboosting: Combining Discriminative and Generative Information
* Element Rearrangement for Tensor-Based Subspace Learning
* Enhanced Level Building Algorithm for the Movement Epenthesis Problem in Sign Language Recognition
* Epitomic Representation of Human Activities
* Estimating Scale of a Scene from a Single Image Based on Defocus Blur and Scene Geometry
* Evaluation of Cost Functions for Stereo Matching
* Evaluation of Epipole Estimation Methods with/without Rank-2 Constraint across Algebraic/Geometric Error Functions
* Exemplar Model for Learning Object Classes, An
* Face Annotation Framework with Partial Clustering and Interactive Labeling, A
* Face Re-Lighting from a Single Image under Harsh Lighting Conditions
* Face Recognition using Discriminatively Trained Orthogonal Rank One Tensor Projections
* Face Recognition Using Kernel Ridge Regression
* Fast 3D Correspondence Method for Statistical Shape Modeling, A
* Fast 3D Scanning with Automatic Motion Compensation
* Fast Human Pose Estimation using Appearance and Motion via Multi-Dimensional Boosting Regression
* Fast Keypoint Recognition in Ten Lines of Code
* Fast Terrain Classification Using Variable-Length Representation for Autonomous Navigation
* Fast, Approximately Optimal Solutions for Single and Dynamic MRFs
* Feature Extraction by Maximizing the Average Neighborhood Margin
* Feature Mining for Image Classification
* Fiber Tract Clustering on Manifolds With Dual Rooted-Graphs
* Filtered Component Analysis to Increase Robustness to Local Minima in Appearance Models
* Fisher Kernels on Visual Vocabularies for Image Categorization
* Flash Cut: Foreground Extraction with Flash and No-flash Image Pairs
* Flexible Object Models for Category-Level 3D Object Recognition
* Free-Form Nonrigid Image Registration Using Generalized Elastic Nets
* From Videos to Verbs: Mining Videos for Activities using a Cascade of Dynamical Systems
* Generalized Thin-Plate Spline Warps
* Generic Face Alignment using Boosted Appearance Model
* Global Optimization for Shape Fitting
* Graph Cut Based Optimization for MRFs with Truncated Convex Priors
* Graph Reduction Method for 2D Snake Problems, A
* Graphical Model Approach to Iris Matching Under Deformation and Occlusion
* Groupwise Shape Registration on Raw Edge Sequence via A Spatio-Temporal Generative Model
* Handwritten Carbon Form Preprocessing Based on Markov Random Field
* Harmony in Motion
* Hierarchical Learning of Curves Application to Guidewire Localization in Fluoroscopy
* Hierarchical Matching of Deformable Shapes
* Hierarchical Model of Shape and Appearance for Human Action Classification, A
* Hierarchical Structuring of Data on Manifolds
* High Distortion and Non-Structural Image Matching via Feature Co-occurrence
* High-dimensional statistical distance for region-of-interest tracking: Application to combining a soft geometric constraint with radiometry
* Human Detection via Classification on Riemannian Manifolds
* Hybrid learning of large jigsaws
* Hyperbolic Geometry of Illumination-Induced Chromaticity Changes, The
* Illumination Multiplexing within Fundamental Limits
* Image Classification with Segmentation Graph Kernels
* Image Hallucination Using Neighbor Embedding over Visual Primitive Manifolds
* Image Matching via Saliency Region Correspondences
* Image representations beyond histograms of gradients: The role of Gestalt descriptors
* Image Segmentation by Probabilistic Bottom-Up Aggregation and Cue Integration
* Imaging the Finger Force Direction
* Implicit Active Contours Driven by Local Binary Fitting Energy
* Improved Video Registration using Non-Distinctive Local Image Features
* Improving Part based Object Detection by Unsupervised, Online Boosting
* In Situ Evaluation of Tracking Algorithms Using Time Reversed Chains
* Incorporating On-demand Stereo for Real Time Recognition
* Incremental Linear Discriminant Analysis Using Sufficient Spanning Set Approximations
* Inferring 3D Volumetric Shape of Both Moving Objects and Static Background Observed by a Moving Camera
* Inferring Grammar-based Structure Models from 3D Microscopy Data
* Inferring Temporal Order of Images From 3D Structure
* Integrating Global and Local Structures: A Least Squares Framework for Dimensionality Reduction
* Isotropy, Reciprocity and the Generalized Bas-Relief Ambiguity
* Iterative MAP and ML Estimations for Image Segmentation
* Joint Object Segmentation and Behavior Classification in Image Sequences
* Joint Optimization of Cascaded Classifiers for Computer Aided Detection
* Joint Real-time Object Detection and Pose Estimation Using Probabilistic Boosting Network
* Kernel-based Tracking from a Probabilistic Viewpoint
* Kinematics from Lines in a Single Rolling Shutter Image
* Lagrangian Particle Dynamics Approach for Crowd Flow Segmentation and Stability Analysis, A
* Large scale vision-based navigation without an accurate global reconstruction
* Latent-Dynamic Discriminative Models for Continuous Gesture Recognition
* Layered Depth Panoramas
* Layered Graph Match with Graph Editing
* Learning a Spatially Smooth Subspace for Face Recognition
* Learning and Matching Line Aspects for Articulated Objects
* Learning Color Names from Real-World Images
* Learning Conditional Random Fields for Stereo
* Learning Dynamic Event Descriptions in Image Sequences
* Learning Features for Tracking
* Learning Gaussian Conditional Random Fields for Low-Level Vision
* Learning Generative Models via Discriminative Approaches
* Learning GMRF Structures for Spatial Priors
* Learning Kernel Expansions for Image Classification
* Learning Local Image Descriptors
* Learning Motion Categories using both Semantic and Structural Information
* Learning the Compositional Nature of Visual Objects
* Learning to Detect A Salient Object
* Learning Visual Representations using Images with Captions
* Learning Visual Similarity Measures for Comparing Never Seen Objects
* Leveraging temporal, contextual and ordering constraints for recognizing complex activities in video
* Light Fall-off Stereo
* Linear and Quadratic Subsets for Template-Based Tracking
* Linear Laplacian Discrimination for Feature Extraction
* Linear Programming Approach for Multiple Object Tracking, A
* Local and Weighted Maximum Margin Discriminant Analysis
* Local Ensemble Kernel Learning for Object Category Recognition
* Local Structure Detection with Orientation-invariant Radial Configuration
* Mapping Natural Image Patches by Explicit and Implicit Manifolds
* Marker-less Deformable Mesh Tracking for Human Shape and Motion Capture
* Matching Local Self-Similarities across Images and Videos
* Matrix-Structural Learning (MSL) of Cascaded Classifier from Enormous Training Set
* Maximally Stable Colour Regions for Recognition and Matching
* Microphone Arrays as Generalized Cameras for Integrated Audio Visual Processing
* minimal solution to the autocalibration of radial distortion, A
* Minimal Solutions for Panoramic Stitching
* Minutiae-based Fingerprint Individuality Model, A
* Model-Guided Segmentation of 3D Neuroradiological Image Using Statistical Surface Wavelet Model
* Modeling Appearances with Low-Rank SVM
* Monocular and Stereo Methods for AAM Learning from Video
* Motion and Appearance Contexts for Tracking and Re-Acquiring Targets in Aerial Videos
* Moving Forward in Structure From Motion
* Multi-class object tracking algorithm that handles fragmentation and grouping
* Multi-label image segmentation via max-sum solver
* Multi-modal Clustering for Multimedia Collections
* Multi-Resolution Dynamic Model for Face Aging Simulation, A
* Multi-scale Features for Detection and Segmentation of Rocks in Mars Images
* Multi-scale Structural Saliency for Signature Detection
* Multi-Scale Tikhonov Regularization Scheme for Implicit Surface Modelling, A
* Multi-View Document Rectification using Boundary
* Multiple Class Segmentation Using A Unified Framework over Mean-Shift Patches
* Multiple Instance Learning of Pulmonary Embolism Detection with Geodesic Distance along Vascular Structure
* Multiple Target Tracking Using Spatio-Temporal Markov Chain Monte Carlo Data Association
* Multiple View Image Reconstruction: A Harmonic Approach
* Mumford-Shah Meets Stereo: Integration of Weak Depth Hypotheses
* Nearest First Traversing Graph for Simultaneous Object Tracking and Recognition
* New Performance Evaluation Method for Face Identification: Regression Analysis of Misidentification Risk, A
* Nine-point Algorithm for Estimating Para-Catadioptric Fundamental Matrices, A
* Nonlinear Dynamical Shape Priors for Level Set Segmentation
* Nonparametric Treatment for Location/Segmentation Based Visual Tracking, A
* Novel Representation for Riemannian Analysis of Elastic Curves in Rn, A
* Object retrieval with large vocabularies and fast spatial matching
* Object Tracking by Asymmetric Kernel Mean Shift with Automatic Scale and Orientation Selection
* Objects in Action: An Approach for Combining Action Understanding and Object Perception
* Offline Signature Verification Using Online Handwriting Registration
* On Constant Focal Length Self-Calibration From Multiple Views
* On Constructing Facial Similarity Maps
* On Stabilisation of Parametric Active Contours
* On the Blind Classification of Time Series
* On the Direct Estimation of the Fundamental Matrix
* On the Performance Prediction and Validation for Multisensor Fusion
* On the Spacetime Geometry of Galilean Cameras
* On-the-fly Object Modeling while Tracking
* One-class Machine Learning for Brain Activation Detection
* Online Learning Asymmetric Boosted Classifiers for Object Detection
* Optimal Reduced Representation of a MoG with Applicatios to Medical Image Database Classification, An
* Optimal Step Nonrigid ICP Algorithms for Surface Registration
* Optimized Color Sampling for Robust Matting
* Optimizing Binary MRFs via Extended Roof Duality
* Optimizing Distribution-based Matching by Random Subsampling
* OPTIMOL: automatic Online Picture collecTion via Incremental MOdel Learning
* P3 and Beyond: Solving Energies with Higher Order Cliques
* Parameter Sensitive Detectors
* Partially Occluded Object-Specific Segmentation in View-Based Recognition
* PEET: Prototype Embedding and Embedding Transition for Matching Vehicles over Disparate Viewpoints
* Physics-Based Person Tracking Using Simplified Lower-Body Dynamics
* Polarization and Phase-Shifting for 3D Scanning of Translucent Objects
* practical algorithm for L triangulation with outliers, A
* Precise Registration of 3D Models To Images by Swarming Particles
* Principal Curvature-Based Region Detector for Object Recognition
* Probabilistic Intensity Similarity Measure based on Noise Distributions, A
* Probabilistic Model for Object Recognition, Segmentation, and Non-Rigid Correspondence, A
* Probabilistic Reverse Annotation for Large Scale Image Retrieval
* Probabilistic visibility for multi-view stereo
* Progressive Finite Newton Approach To Real-time Nonrigid Surface Detection
* Projective Factorization of Multiple Rigid-Body Motions
* Pyramid Match Hashing: Sub-Linear Time Indexing Over Partial Correspondences
* Quality-Driven Face Occlusion Detection and Recovery
* Quantifying Facial Expression Abnormality in Schizophrenia by Combining 2D and 3D Features
* Quasi-Dense Wide Baseline Matching Using Match Propagation
* Radiometric Calibration from Noise Distributions
* Real-time Gesture Recognition with Minimal Training Requirements and On-line Learning
* Real-Time Plane-Sweeping Stereo with Multiple Sweeping Directions
* Real-time Visual Tracking under Arbitrary Illumination Changes
* Recognizing Human Activities from Silhouettes: Motion Subspace and Factorial Discriminative Graphical Model
* Recognizing objects by piecing together the Segmentation Puzzle
* Reducing correspondence ambiguity in loosely labeled training data
* Region Classification with Markov Field Aspect Models
* Regression tracking with data relevance determination
* Removal of Image Artifacts Due to Sensor Dust
* Resolving Objects at Higher Resolution from a Single Motion-blurred Image
* Resolving the Generalized Bas-Relief Ambiguity by Entropy Minimization
* Revocable Fingerprint Biotokens: Accuracy and Security Analysis
* Riemannian Analysis of Probability Density Functions with Applications in Vision
* Robust 3D Face Recognition Using Learned Visual Codebook
* Robust Estimation of Texture Flow via Dense Feature Sampling
* Robust Metric Reconstruction from Challenging Video Sequences
* Robust Real-Time Visual SLAM Using Scale Prediction and Exemplar Based Feature Description
* Robust Rotation and Translation Estimation in Multiview Reconstruction
* ROI-SEG: Unsupervised Color Segmentation by Combining Differently Focused Sub Results
* Saliency Detection: A Spectral Residual Approach
* Scaled Motion Dynamics for Markerless Motion Capture
* Seamless Mosaicing of Image-Based Texture Maps
* Searching Video for Complex Activities with Finite State Models
* Segmenting Images on the Tensor Manifold
* Segmenting Motions of Different Types by Unsupervised Manifold Clustering
* Semantic Hierarchies for Recognizing Objects and Parts
* Semantic Hierarchies for Visual Object Recognition
* Semi-supervised Hierarchical Models for 3D Human Pose Reconstruction
* Sensor noise modeling using the Skellam distribution: Application to the color edge detection
* ShadowCuts: Photometric Stereo with Shadows
* Shape from Planar Curves: A Linear Escape from Flatland
* Shape from Shading Based on Lax-Friedrichs Fast Sweeping and Regularization Techniques With Applications to Document Image Restoration
* Shape from Shading Under Various Imaging Conditions
* Shape Representation and Registration using Vector Distance Functions
* Shape Statistics for Image Segmentation with Prior
* Shape Variation-Based Frieze Pattern for Robust Gait Recognition
* Simultaneous Covariance Driven Correspondence (CDC) and Transformation Estimation in the Expectation Maximization Framework
* Simultaneous Depth Reconstruction and Restoration of Noisy Stereo Images using Non-local Pixel Distribution
* Simultaneous Matting and Compositing
* Simultaneous Object Detection and Segmentation by Boosting Local Shape Feature based Classifier
* Simultaneous Optimization of Structure and Motion in Dynamic Scenes Using Unsynchronized Stereo Cameras
* Single Image Motion Deblurring Using Transparency
* Single View Human Action Recognition using Key Pose Matching and Viterbi Path Searching
* Skin Detail Analysis for Face Recognition
* Soft Edge Smoothness Prior for Alpha Channel Super Resolution
* Solving Large Scale Binary Quadratic Problems: Spectral Methods vs. Semidefinite Programming
* Spatial selection for attentional visual tracking
* Spatial-Depth Super Resolution for Range Images
* Spatio-Temporal Markov Random Field for Video Denoising
* Speckle Tracking in 3D Echocardiography with Motion Coherence
* Spectral Matting
* Statistical Shape Analysis of Multi-Object Complexes
* Statistics of Infrared Images
* Stereo Matching on Objects with Fractional Boundary
* Stereo Matching via Disparity Estimation and Surface Modeling
* Surface-Growing Approach to Multi-View Stereo Reconstruction, A
* Surveillance in Virtual Reality: System Design and Multi-Camera Control
* Symmetric Objects are Hardly Ambiguous
* Tensor Canonical Correlation Analysis for Action Classification
* Texture-Preserving Shadow Removal in Color Images Containing Curved Surfaces
* Topic-Motion Model for Unsupervised Video Object Discovery, A
* Topological Approach to Hierarchical Segmentation using Mean Shift, A
* Topology matching for 3D video compression
* Topology Preserving Log-Unbiased Nonlinear Image Registration: Theory and Implementation
* Toward Flexible 3D Modeling using a Catadioptric Camera
* Towards Automatic Photometric Correction of Casually Illuminated Documents
* Towards Fog-Free In-Vehicle Vision Systems through Contrast Restoration
* Towards Robust Pedestrian Detection in Crowded Image Sequences
* Towards Scalable Representations of Object Categories: Learning a Hierarchy of Parts
* Trace Ratio vs. Ratio Trace for Dimensionality Reduction
* Tracking as Repeated Figure/Ground Segmentation
* Tracking in Low Frame Rate Video: A Cascade Particle Filter with Discriminative Observers of Different Life Spans
* Tracking Large Variable Numbers of Objects in Clutter
* Tracking-as-Recognition for Articulated Full-Body Human Motion Analysis
* Trajectory Association across Non-overlapping Moving Cameras in Planar Scenes
* Trajectory Series Analysis based Event Rule Induction for Visual Surveillance
* Transfer Learning in Sign language
* Tree-based Classifiers for Bilayer Video Segmentation
* Two-View Motion Segmentation from Linear Programming Relaxation
* Unified Probabilistic Framework for Facial Activity Modeling and xoUnderstanding, A
* Unsupervised Activity Perception by Hierarchical Bayesian Models
* Unsupervised Clustering using Multi-Resolution Perceptual Grouping
* Unsupervised Learning of Image Transformations
* Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition
* Unsupervised Segmentation of Objects using Efficient Learning
* Using Galois Theory to Prove Structure from Motion Algorithms are Optimal
* Using Geometry Invariants for Camera Response Function Estimation
* Using Segmentation to Verify Object Hypotheses
* Using Stereo Matching for 2-D Face Recognition Across Pose
* Utilizing Variational Optimization to Learn Markov Random Fields
* Variable Bandwidth Image Denoising Using Image-based Noise Models
* Variational Approach to the Evolution of Radial Basis Functions for Image Segmentation, A
* Variational Bayes Based Approach to Robust Subspace Learning
* Variational Bayesian Approach for Classification with Corrupted Inputs, A
* Variational Distance-Dependent Image Restoration
* Viewpoint-Coded Structured Light
* Virtual Training for Multi-View Object Class Recognition
* Visual Curvature
* Visual Event Recognition in News Video using Kernel Methods with Multi-Level Temporal Alignment
* Visual Odometry System Using Multiple Stereo Cameras and Inertial Measurement Unit
* Weighted Substructure Mining for Image Analysis
* What makes a good model of natural images?
* Wide-Area Egomotion Estimation from Known 3D Structure
352 for CVPR07

CVPR08 * *CVPR
* 3-D Tracking of shoes for Virtual Mirror applications
* 3D face tracking and expression inference from a 2D sequence using manifold learning
* 3D model matching with Viewpoint-Invariant Patches (VIP)
* 3D occlusion recovery using few cameras
* 3D pose refinement from reflections
* 3D shape reconstruction of Mooney faces
* 3D surface models by geometric constraints propagation
* 3D ultrasound tracking of the left ventricle using one-step forward prediction and data fusion of collaborative trackers
* 3D-2D spatiotemporal registration for sports motion analysis
* Accurate and robust registration for in-hand modeling
* Accurate Camera Calibration from Multi-View Stereo and Bundle Adjustment
* Accurate eye center location and tracking using isophote curvature
* Accurate multi-view reconstruction using robust binocular stereo and surface meshing
* Accurate polyp segmentation for 3D CT colongraphy using multi-staged probabilistic binary learning and compositional model
* Action MACH a spatio-temporal Maximum Average Correlation Height filter for action recognition
* Action recognition by learning mid-level motion features
* Action recognition using ballistic dynamics
* Action recognition using exemplar-based embedding
* Action recognition with motion-appearance vocabulary forest
* Action snippets: How many frames does human action recognition require?
* Active microscopic cellular image annotation by superposable graph transduction with imbalanced labels
* Adaptive and compact shape descriptor by progressive feature combination and selection with boosting
* Adaptive and constrained algorithms for inverse compositional Active Appearance Model fitting
* adaptive learning method for target tracking across multiple cameras, An
* Adaptive parametrization of multivariate B-splines for image registration
* Adaptive region intensity based rigid ultrasound and CT image registration
* Annotating collections of photos using hierarchical event and scene models
* ANSIG: An analytic signature for permutation-invariant two-dimensional shape representation
* Application and evaluation of spatiotemporal enhancement of live aerial video using temporally local mosaics
* Approximate earth mover's distance in linear time
* Articulated shape matching using Laplacian eigenfunctions and unsupervised point registration
* Auto-context and its application to high-level vision tasks
* Automatic calibration of a single-projector catadioptric display system
* Automatic face naming with caption-based supervision
* Automatic non-rigid registration of 3D dynamic data for facial expression synthesis and transfer
* Automatic registration of aerial imagery with untextured 3D LiDAR models
* Automatic symmetry plane estimation of bilateral objects in point clouds
* Background subtraction in highly dynamic scenes
* Bayesian Approach for Image Segmentation with Shape Priors, A
* Bayesian color constancy revisited
* Bayesian tactile face
* Beyond sliding windows: Object localization by efficient subwindow search
* Beyond the Lambertian assumption: A generative model for Apparent BRDF fields of faces using anti-symmetric tensor splines
* bi-illuminant dichromatic reflection model for understanding images, A
* Blindly separating mixtures of multiple layers with spatial shifts
* Boosted deformable model for human body alignment
* Boosting adaptive linear weak classifiers for online learning and tracking
* Boosting ordinal features for accurate and fast iris recognition
* Boundary snapping for robust image cutouts
* BP)2: Beyond pairwise Belief Propagation labeling by approximating Kikuchi free energies
* Branch-and-bound hypothesis selection for two-view multiple structure and motion segmentation
* Building reconstruction from a single DEM
* Building segmentation for densely built urban regions using aerial LIDAR data
* Calibration and rectification for reflection stereo
* Calibration of an Articulated Camera System
* Cell motion analysis without explicit tracking
* Characterizing the shadow space of camera-light pairs
* Classifiability-based Optimal Discriminatory Projection Pursuit
* Classification and evaluation of cost aggregation methods for stereo correspondence
* Classification using intersection kernel support vector machines is efficient
* Classification via semi-Riemannian spaces
* Closing the loop in scene interpretation
* Clothing cosegmentation for recognizing people
* Clustering and dimensionality reduction on Riemannian manifolds
* Coarse-to-fine low-rank structure-from-motion
* Coherent image annotation by learning semantic distance
* Coherent Laplacian 3-D protrusion segmentation
* Color constancy beyond bags of pixels
* Combining appearance models and Markov Random Fields for category level object segmentation
* Combining brain computer interfaces with vision for object categorization
* Computing minimal deformations: application to construction of statistical shape models
* Conditional density learning via regression with application to deformable shape segmentation
* conditional random field for automatic photo editing, A
* Conjugate rotation: Parameterization and estimation from an affine feature correspondence
* Connected Segmentation Tree: A joint representation of region layout and hierarchy
* Consistent image analogies using semi-supervised learning
* Constant time O(1) bilateral filtering
* Constrained image segmentation from hierarchical boundaries
* Constrained spectral clustering through affinity propagation
* Context and observation driven latent variable model for human pose estimation
* Context-aware clustering
* Context-dependent kernel design for object matching and recognition
* Correlational spectral clustering
* Correspondence-free multi-camera activity analysis and scene modeling
* Correspondences between parts of shapes with particle filters
* Cost-sensitive face recognition
* Decomposition, discovery and detection of visual categories using topic models
* deformable local image descriptor, A
* Demosaicing by smoothing along 1D features
* Demosaicking recognition with applications in digital photo authentication based on a quadratic pixel correlation model
* Dense 3D motion capture from synchronized video streams
* Dense 3D reconstruction from specularity consistency
* Dense correspondence finding for parametrization-free animation reconstruction from video
* Dense specular shape from multiple specular flows
* Detecting and matching repeated patterns for automatic geo-tagging in urban environments
* Detection and matching of rectilinear structures
* Detection with multi-exit asymmetric boosting
* Dimensionality reduction by unsupervised regression
* Dimensionality reduction using covariance operator inverse regression
* Directional independent component analysis with tensor representation
* Directions of egomotion from antipodal points
* Discovering class specific composite features through discriminative sampling with Swendsen-Wang Cut
* Discriminative human action segmentation and recognition using semi-Markov model
* Discriminative learned dictionaries for local image analysis
* Discriminative learning of visual words for 3D human pose estimation
* Discriminative local binary patterns for human detection in personal album
* Discriminative modeling by Boosting on Multilevel Aggregates
* discriminatively trained, multiscale, deformable part model, A
* Distributed data association and filtering for multiple target tracking
* Drift-free tracking of rigid and articulated objects
* Dynamic scene shape reconstruction using a single structured light pattern
* Dynamic visual category learning
* Edge descriptors for robust wide-baseline correspondence
* Edge preserving spatially varying mixtures for image segmentation
* efficient algorithm for compressed MR imaging using total variation and wavelets, An
* Efficient mean shift belief propagation for vision tracking
* Efficient object shape recovery via slicing planes
* Efficient photometric stereo on glossy surfaces with wide specular lobes
* Efficient Sequential Correspondence Selection by Cosegmentation
* Efficient subdivision-based image and volume warping
* Enforcing convexity for improved alignment with constrained local models
* Enforcing non-positive weights for stable support vector tracking
* Enforcing stochastic inverse consistency in non-rigid image registration and matching
* Enhanced biologically inspired model
* Enhancing photographs with Near Infra-Red images
* Epitomic Location Recognition
* Estimating age, gender, and identity using first name priors
* Estimating camera response functions using probabilistic intensity similarity
* Evaluation of color descriptors for object and scene recognition
* Evaluation of constructable match cost measures for stereo correspondence using cluster ranking
* Exact inference in multi-label CRFs with higher order cliques
* experimental study of employing visual appearance as a phenotype, An
* Exploiting side information in locality preserving projection
* Extracting a fluid dynamic texture and the background from video
* Extracting smooth and transparent layers from a single image
* Extrinsic and depth calibration of ToF-cameras
* Face alignment via boosted ranking model
* Face illumination normalization on large and small scale features
* Face shape recovery from a single image using CCA mapping between tensor spaces
* Face tracking and recognition with visual constraints in real-world videos
* Facial expression recognition using encoded dynamic features
* factorization approach to structure from motion with shape priors, A
* Fast algorithms for L-inf problems in multiview geometry
* Fast algorithms for large scale conditional 3D prediction
* Fast and robust numerical solutions to minimal problems for cameras with radial distortion
* Fast approximate Random Walker segmentation using eigenvector precomputation
* Fast image search for learned metrics
* Fast kernel learning for spatial pyramid matching
* fast local descriptor for dense matching, A
* Fast texture segmentation model based on the shape operator and active contour
* Fast track matching and event detection
* Filtering Internet image search results towards keyword based category recognition
* Finding people in archive films through tracking
* Finding trails
* Flat Refractive Geometry
* framework for reducing ink-bleed in old documents, A
* From appearance to context-based recognition: Dense labeling in small images
* From skeletons to bone graphs: Medial abstraction for object recognition
* Fully automatic feature localization for medical images using a global vector concentration approach
* Fusion of time-of-flight depth and stereo for high accuracy depth maps
* FusionFlow: Discrete-continuous optimization for optical flow estimation
* Fuzzy chamfer distance and its probabilistic formulation for visual tracking
* FuzzyMatte: A computationally efficient scheme for interactive matting
* General constraints for batch Multiple-Target Tracking applied to large-scale videomicroscopy
* general solution to the P4P problem for camera with unknown focal length, A
* Generalised blurring mean-shift algorithms for nonparametric clustering
* Geo-located image analysis using latent representations
* Geo-spatial aerial video processing for scene understanding and object tracking
* Global data association for multi-object tracking using network flows
* Global image registration based on learning the prior appearance model
* Global pose estimation using non-tree models
* Global Stereo Reconstruction under Second-Order Smoothness Priors
* Globally optimal bilinear programming for computer vision applications
* Globally optimal shape-based tracking in real-time
* Globally optimal surface segmentation using regional properties of segmented objects
* Granularity and elasticity adaptation in visual tracking
* Graph commute times for image representation
* Graph cut based image segmentation with connectivity priors
* Graph cut with ordering constraints on labels and its applications
* Graph-shifts: Natural image labeling by dynamic hierarchical computing
* Hallucinating 3D facial shapes
* hierarchical and contextual model for aerial image understanding, A
* Hierarchical, learning-based automatic liver segmentation
* High quality mesostructure acquisition using specularities
* High resolution matting via interactive trimap segmentation
* High resolution motion layer decomposition using dual-space graph cuts
* High-arity interactions, polyhedral relaxations, and cutting plane algorithm for soft constraint optimisation (MAP-MRF)
* Histogram-based search: A comparative study
* Homography based multiple camera detection and tracking of people in a dense crowd
* Human action recognition using Local Spatio-Temporal Discriminant Embedding
* Human-assisted motion annotation
* Hybrid body representation for integrated pose recognition, localization and segmentation
* hybrid camera for motion deblurring and depth map super-resolution, A
* Illumination and camera invariant stereo matching
* IM2GPS: estimating geographic information from a single image
* Image based rendering for motion compensation in angiographic roadmapping
* Image de-fencing
* Image decomposition into structure and texture subcomponents with multifrequency modulation constraints
* Image partial blur detection and classification
* Image segmentation via convolution of a level-set function with a Rigaut Kernel
* Image segmentation with a parametric deformable model using shape and appearance priors
* Image selection for improved Multi-View Stereo
* Image super-resolution as sparse representation of raw image patches
* Image super-resolution using gradient profile prior
* Image/video deblurring using a hybrid camera
* importance sampling approach to learning structural representations of shape, An
* Improved building detection by Gaussian processes classification via feature space rescale and spectral kernel selection
* Improving local learning for object categorization by exploring the effects of ranking
* In defense of Nearest-Neighbor based image classification
* Increasing the density of Active Appearance Models
* Incremental learning of nonparametric Bayesian mixture models
* Information-theoretic active scene exploration
* integrated background model for video surveillance based on primal sketch and 3D scene geometry, An
* Integrated feature selection and higher-order spatial feature extraction for object categorization
* Intensity statistics-based HSI diffusion for color photo denoising
* Interactive image matting for multiple layers
* Interactive image segmentation via minimization of quadratic energies on directed graphs
* Intrinsic image decomposition with non-local texture cues
* Inverse-polar ray projection for recovering projective transformations
* joint appearance-spatial distance for kernel-based image categorization, A
* Joint Conditional Random Field of multiple views with online learning for image-based rendering
* Joint data alignment up to (lossy) transformations
* Joint learning and dictionary construction for pattern recognition
* Joint multi-label multi-instance learning for image classification
* Joint tracking of features and edges
* Kernel integral images: A framework for fast non-uniform filtering
* Kernel-based learning of cast shadows from a physical model of light sources and surfaces for low-level segmentation
* Keywords to visual categories: Multiple-instance learning for weakly supervised object categorization
* Kneed Walker for human pose tracking, The
* L1 regularized projection pursuit for additive model learning
* Large margin pursuit for a Conic Section classifier
* Large-scale manifold learning
* Latent topic random fields: Learning using a taxonomy of labels
* Layered Graphical Models for Tracking Partially Occluded Objects
* Learning 4D action feature models for arbitrary view action recognition
* Learning a geometry integrated image appearance manifold from a small training set
* Learning and using taxonomies for fast visual categorization
* Learning based coarse-to-fine image registration
* Learning Bayesian Networks with qualitative constraints
* Learning class-specific affinities for image labelling
* Learning coupled conditional random field for image decomposition with application on object categorization
* Learning for stereo vision using the structured support vector machine
* Learning human actions via information maximization
* Learning human motion models from unsegmented videos
* Learning object motion patterns for anomaly detection and improved object detection
* Learning on lie groups for invariant detection and tracking
* Learning patch correspondences for improved viewpoint invariant face recognition
* Learning realistic human actions from movies
* Learning stick-figure models using nonparametric Bayesian priors over trees
* Learning subcategory relevances for category recognition
* Learning the viewpoint manifold for action recognition
* Learning-based face hallucination in DCT domain
* learning-based hybrid tagging and browsing approach for efficient manual image annotation, A
* Least squares congealing for unsupervised alignment of images
* Least squares surface reconstruction from measured gradient fields
* LED-only BRDF measurement device, An
* Light-invariant fitting of active appearance models
* linear approach to motion estimation using generalized camera models, A
* Linear motion estimation for systems of articulated planes
* Local deformation models for monocular 3D shape recovery
* Local grouping for optical flow
* Local minima free Parameterized Appearance Models
* Local tensor descriptor from micro-deformation analysis
* Localization accuracy of region detectors
* Locally adaptive learning for translation-variant MRF image priors
* Locally Assembled Binary (LAB) feature with feature-centric cascade for fast and accurate face detection
* Logistic Random Field: A convenient graphical model for learning parameters for MRF-based labeling, The
* Looking around the backyard helps to recognize faces and digits
* Loopy Belief Propagation approach for robust background estimation, A
* Loose shape model for discriminative learning of object categories
* Lost in quantization: Improving particular object retrieval in large scale image databases
* Macro-cubo´d based probabilistic matching for lip-reading digits
* Manifold learning using robust Graph Laplacian for interactive image search
* Manifold-Manifold Distance with application to face recognition based on image set
* Margin-based discriminant dimensionality reduction for visual recognition
* Markerless motion capture of man-machine interaction
* Matching images under unstable segmentations
* Matching non-rigidly deformable shapes across images: A globally optimal solution
* Matching vehicles under large pose transformations using approximate 3D models and piecewise MRF model
* Max Margin AND/OR Graph learning for parsing the human body
* Measuring camera translation by the dominant apical angle
* Meshless deformable models for LV motion analysis
* Minimal local reconstruction error measure based discriminant feature extraction and classification
* Minimal solutions for generic imaging models
* Mining compositional features for boosting
* Misalignment-robust face recognition
* mixed generative-discriminative framework for pedestrian classification, A
* mobile vision system for robust multi-person tracking, A
* Model-based hand tracking with texture, shading and self-occlusions
* Modeling and generating complex motion blur for real-time tracking
* Modeling complex luminance variations for target tracking
* Modeling the structure of multivariate manifolds: Shape maps
* Modulated phase-shifting for 3D scanning
* Motion blur identification from image gradients
* Motion estimation for multi-camera systems using global optimization
* Motion estimation method based on physical properties of waves
* Motion from blur
* Motion segmentation via robust subspace separation in the presence of outlying, incomplete, or corrupted trajectories
* Moving shape dynamics: A signal processing perspective
* multi-compartment segmentation framework with homeomorphic level sets, A
* Multi-label image segmentation via point-wise repetition
* Multi-object shape estimation and tracking from silhouette cues
* Multiple-instance ranking: Learning to rank images for image retrieval
* Multiplicative kernels: Object detection, segmentation and pose estimation
* Near duplicate image identification with patially Aligned Pyramid Matching
* Non-negative graph embedding
* Non-refractive modulators for encoding and capturing scene appearance and depth
* Nonlinear image representation using divisive normalization
* Normalized tree partitioning for image segmentation
* NURBS-based spectral reflectance descriptor with applications in computer vision and pattern recognition, A
* Object categorization using co-occurrence, location and appearance
* Object image retrieval by exploiting online knowledge resources
* Object recognition and segmentation by non-rigid quasi-dense matching
* Object tracking and detection after occlusion via numerical hybrid local and global mode-seeking
* Observe-and-explain: A new approach for multiple hypotheses tracking of humans and objects
* Off-axis aperture camera: 3D shape reconstruction and image restoration
* On benchmarking camera calibration and multi-view stereo for high resolution imagery
* On controlling light transport in poor visibility environments
* On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation
* On handling uncertainty in the fundamental matrix for scene and motion adaptive pose recovery
* On the use of independent tasks for face recognition
* One step beyond histograms: Image representation using Markov stationary features
* Online learning of patch perspective rectification for efficient object detection
* Optical flow estimation using Fourier Mellin Transform
* Optical flow estimation with uncertainties through dynamic MRFs
* Optimised KD-trees for fast image descriptor matching
* Optimizing discrimination-efficiency tradeoff in integrating heterogeneous local features for object detection
* Order consistent change detection via fast statistical significance testing
* Overcoming visual reverberations
* Pair-activity classification by bi-trajectories analysis
* Pan, zoom, scan: Time-coherent, trained automatic video cropping
* Parallel Decomposition Solver for SVM: Distributed dual ascend using Fenchel Duality, A
* Parameterized Kernel Principal Component Analysis: Theory and applications to supervised and unsupervised image alignment
* Particle filtering for registration of 2D and 3D point sets with stochastic dynamics
* Partitioning of image datasets using discriminative context information
* patch transform and its applications to image editing, The
* Pattern discovery in motion time series via structure-based spectral clustering
* People-tracking-by-detection and people-detection-by-tracking
* Performance evaluation of state-of-the-art discrete symmetry detection algorithms
* Photogeometric structured light: A self-calibrating and multi-viewpoint framework for accurate 3D modeling
* Photometric stereo with coherent outlier handling and confidence estimation
* Photometric stereo with non-parametric and spatially-varying reflectance
* Physical simulation for probabilistic motion tracking
* polynomial-time bound for matching and registration with outliers, A
* Pose primitive based human action recognition in videos or still images
* Practical camera auto-calibration based on object appearance and motion for traffic scene visual surveillance
* Precise detailed detection of faces and facial features
* Principled fusion of high-level model and low-level cues for motion segmentation
* Privacy preserving crowd monitoring: Counting people without people models or tracking
* Private Content Based Image Retrieval
* Probabilistic graph and hypergraph matching
* Probabilistic image registration and anomaly detection by nonlinear warping
* Probabilistic multi-tensor estimation using the Tensor Distribution Function
* probabilistic segmentation method for the identification of luminal borders in intravascular ultrasound images, A
* Progressive search space reduction for human pose estimation
* PSF estimation using sharp edge prediction
* Quasi-perspective projection with applications to 3D factorization from uncalibrated image sequences
* quasi-random sampling approach to image retrieval, A
* Radiometric calibration using temporal irradiance mixtures
* Radiometric calibration with illumination change for outdoor scene analysis
* Randomized trees for human pose detection
* rank constrained continuous formulation of multi-frame multi-target tracking problem, A
* Rank-based distance metric learning: An application to image retrieval
* Re-thinking non-rigid structure from motion
* Re-weighting Linear Discrimination Analysis under ranking loss
* Real time object tracking based on dynamic feature grouping with background subtraction
* Real-time 3D segmentation of the left ventricle using deformable subdivision surfaces
* Real-Time Face Pose Estimation from Single Range Images
* Real-time global localization with a pre-built visual landmark database
* Real-time pose estimation of articulated objects using low-level motion
* Recognising faces in unseen modes: A tensor based approach
* Recognition by association via learning per-exemplar distances
* Recognizing human actions using multiple features
* Recognizing primitive interactions by exploring actor-object states
* Reconstructing non-stationary articulated objects in monocular video using silhouette information
* Recovering consistent video depth maps via bundle optimization
* Recovering shape characteristics on near-flat specular surfaces
* Recovery of relative depth from a single observation using an uncalibrated (real-aperture) camera
* recursive filter for linear systems on Riemannian manifolds, A
* Recursive photometric stereo when multiple shadows and highlights are present
* Reduce, reuse & recycle: Efficiently solving multi-label MRFs
* region based stereo matching algorithm using cooperative optimization, A
* Regression from patch-kernel
* Regularizing 3D medial axis using medial scaffold transforms
* Relaxed matching kernels for robust image comparison
* Retinal image registration from 2D to 3D
* Robust 3D face recognition in uncontrolled environments
* robust descriptor based on Weber's Law, A
* Robust dual motion deblurring
* Robust estimation of gaussian mixtures from noisy input data
* Robust fusion of dynamic shape and normal capture for high-quality reconstruction of time-varying geometry
* Robust Higher Order Potentials for Enforcing Label Consistency
* robust identification approach to gait recognition, A
* Robust learning of discriminative projection for multicategory classification on the Stiefel manifold
* Robust motion estimation and structure recovery from endoscopic image sequences with an Adaptive Scale Kernel Consensus estimator
* Robust null space representation and sampling for view-invariant motion trajectory analysis
* Robust statistics on Riemannian manifolds via the geometric median
* Robust tensor factorization using R1 norm
* Robust unambiguous parametrization of the essential manifold
* Rotation symmetry group detection via frequency analysis of frieze-expansions
* Scalable graph-cut algorithm for N-D grids, A
* Scale invariance without scale selection
* scale of a texture and its application to segmentation, The
* Scene classification with low-dimensional semantic spaces and weak supervision
* Scene understanding with discriminative structured prediction
* Segmentation by transduction
* Segmentation of left ventricle from 3D cardiac MR image sequences using a subject-specific dynamical model
* Segmentation of multiple, partially occluded objects by grouping, merging, assigning part detection responses
* Selective hidden random fields: Exploiting domain-specific saliency for event classification
* Semantic texton forests for image categorization and segmentation
* Semantic-based indexing of fetal anatomies from 3-D ultrasound data using global/semi-local context and sequential sampling
* Semi-supervised boosting using visual similarity learning
* Semi-Supervised Discriminant Analysis using robust path-based similarity
* Semi-Supervised Distance Metric Learning for Collaborative Image Retrieval
* Semi-supervised learning of multi-factor models for face de-identification
* Semi-supervised SVM batch mode active learning for image retrieval
* Sensing increased image resolution using aperture masks
* Sensor planning for automated and persistent object tracking with multiple cameras
* Sequential particle swarm optimization for visual tracking
* Sequential sparsification for change detection
* Shading models for illumination and reflectance invariant shape detectors
* Shape L'Ane rouge: Sliding wavelets for indexing and retrieval
* Shape prior segmentation of multiple objects with graph cuts
* Shape priors in variational image segmentation: Convexity, Lipschitz continuity and globally optimal solutions
* Silhouette-based camera calibration from sparse views under circular motion
* similarity measure between unordered vector sets with application to image categorization, A
* Similarity-based cross-layered hierarchical representation for object categorization
* Simple calibration of non-overlapping cameras with a mirror
* Simultaneous clustering and tracking unknown number of objects
* Simultaneous data volume reconstruction and pose estimation from slice samples
* Simultaneous image transformation and sparse representation recovery
* Simultaneous learning of a discriminative projection and prototypes for Nearest-Neighbor classification
* Simultaneous super-resolution and 3D video using graph-cuts
* Simultaneous super-resolution and feature extraction for recognition of low-resolution faces
* Single-image vignetting correction using radial gradient symmetry
* Skeletal graphs for efficient structure from motion
* Sketching in the air: A vision-based system for 3D object design
* Small codes and large image databases for recognition
* Smoothing-based Optimization
* SMRFI: Shape matching via registration of vector-valued feature images
* Sparse probabilistic regression for activity-independent human pose inference
* Sparsity, redundancy and optimal image support towards knowledge-based segmentation
* Spatio-temporal Saliency detection using phase spectrum of quaternion fourier transform
* Spectral methods for semi-supervised manifold learning
* Spectrally optimal factorization of incomplete matrices
* Statistical analysis on Stiefel and Grassmann manifolds with applications in computer vision
* statistical deformation prior for non-rigid image and shape registration, A
* statistical modelling of fingerprint minutiae distribution with implications for fingerprint individuality studies, The
* Stereo reconstruction with mixed pixels using adaptive over-segmentation
* Stereoscopic inpainting: Joint color and depth completion from stereo images
* Structure learning in random fields for heart motion abnormality detection
* Structure-perceptron learning of a hierarchical log-linear model
* Subspace segmentation with outliers: A grassmannian approach to the maximum consensus subspace
* Summarizing visual data using bidirectional similarity
* Super-resolution from image sequence under influence of hot-air optical turbulence
* Superpixel lattices
* Symmetric multi-view stereo reconstruction from planar camera arrays
* Taylor expansion based classifier adaptation: Application to person detection
* Tensor reduction error analysis: Applications to video compression and classification
* Texture classification with a dictionary of basic image features
* theoretical analysis of linear and multi-linear models of image appearance, A
* theory of defocus via Fourier analysis, A
* three-point minimal solution for panoramic stitching with lens distortion, A
* Toward automatic 3D modeling of scenes using a generic camera model
* Towards unsupervised whole-object segmentation: Combining automated matting with boundary detection
* Tracking distributions with an overlap prior
* Tracking rotating fluids in realtime using snapshots
* Trajectory analysis and semantic region modeling using a nonparametric Bayesian model
* Transductive object cutout
* Transfer learning for image classification with sparse prototype representations
* Two-Dimensional Active Learning for image classification
* two-frame theory of motion, lighting and shape, A
* unified framework for generalized Linear Discriminant Analysis, A
* Unified Principal Component Analysis with generalized Covariance Matrix for face recognition
* Unifying discriminative visual codebook generation with classifier training for object category recognition
* Unsupervised discovery of visual object class hierarchies
* Unsupervised estimation of segmentation quality using nonnegative factorization
* Unsupervised feature selection via distributed coding for multi-view object recognition
* Unsupervised learning of finite mixtures using entropy regularization and its application to image segmentation
* Unsupervised learning of human perspective context using ME-DT for efficient human detection in surveillance
* Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition
* Unsupervised learning of visual taxonomies
* Unsupervised modeling of object categories using link analysis techniques
* Using circular statistics for trajectory shape analysis
* Using contours to detect and localize junctions in natural images
* Utilizing semantic word similarity measures for video retrieval
* Variable baseline/resolution stereo
* Verifying global minima for L2 minimization problems
* Video falsifying by motion interpolation and inpainting
* Video segmentation: Propagation, validation and aggregation of a preceding graph
* View and scale invariant action recognition using multiview shape-flow models
* View-invariant action recognition using fundamental ratios
* View-invariant recognition of body pose from space-time templates
* Viewpoint-independent object class detection using 3D Feature Maps
* Visibility in bad weather from a single image
* Visual quasi-periodicity
* Visual Synset: Towards a higher-level visual representation
* Visual tracking via incremental Log-Euclidean Riemannian subspace learning
* Visual tracking with histograms and articulating blocks
* Vital sign estimation from passive thermal video
* Volumetric reconstruction from multi-energy single-view radiography
* What are the high-level concepts with small semantic gaps?
* What can missing correspondences tell us about 3D structure and motion?
* What do color changes reveal about an outdoor scene?
* Where am I: Place instance and category recognition using spatial PACT
* Who killed the directed model?
507 for CVPR08

CVPR09 * *CVPR
* 3D morphable face models revisited
* 3D pose estimation and segmentation using specular cues
* 3D reconstruction of curved objects from single 2D line drawings
* 3D reconstruction pipeline for digital preservation, A
* Abnormal crowd behavior detection using social force model
* Abnormal events detection based on spatio-temporal co-occurences
* Actions in context
* Active learning for large multi-class problems
* Active stereo tracking of multiple free-moving targets
* Active volume models for 3D medical image segmentation
* Adaptive Contour Features in oriented granular space for human detection and segmentation
* Adaptive image and video retargeting technique based on Fourier analysis
* Alphabet SOUP: A framework for approximate energy minimization
* Angular embedding: From jarring intensity differences to perceived luminance
* Anomaly detection in extremely crowded scenes using spatio-temporal motion pattern models
* Appearance-based keypoint clustering
* Automated extraction of signs from continuous sign language sentences using Iterated Conditional Modes
* Automated feature extraction for early detection of diabetic retinopathy in fundus images
* Automatic facial landmark labeling with minimal supervision
* Automatic fetal face detection from ultrasound volumes via learning 3D and 2D information
* Automatic reconstruction of cities from remote sensor data
* Automatic registration of LIDAR and optical images of urban scenes
* Average of Synthetic Exact Filters
* Beyond pairwise energies: Efficient optimization for higher-order MRFs
* Beyond the graphs: Semi-parametric semi-supervised discriminant analysis
* Bias reduction for stereo based motion estimation with applications to large scale visual odometry
* Blind motion deblurring from a single image using sparse approximation
* Blind separation of superimposed images with unknown motions
* Boosted multi-task learning for face verification with applications to web image and video search
* Building a database of 3D scenes from user annotations
* Building text features for object image classification
* Bundling features for large scale partial-duplicate web image search
* Cancelable iris biometrics and using Error Correcting Codes to reduce variability in biometric data
* Capturing 3D stretchable surfaces from single images in closed form
* Capturing multiple illumination conditions using time and color multiplexing
* Catadioptric projectors
* CHoG: Compressed histogram of gradients A low bit-rate feature descriptor
* Class-specific Hough forests for object detection
* Classification of tensors and fiber tracts using Mercer-kernels encoding soft probabilistic spatial and diffusion information
* Classifier grids for robust adaptive object detection
* Co-training with noisy perceptual observations
* Coded exposure deblurring: Optimized codes for PSF estimation and invertibility
* collaborative benchmark for region of interest detection algorithms, A
* Color estimation from a single surface color
* Combining powerful local and global statistics for texture description
* Compensation of motion artifacts in MRI via graph-based optimization
* compressive sensing approach for expression-invariant face recognition, A
* Constrained clustering via spectral regularization
* Constrained marginal space learning for efficient 3D anatomical structure detection in medical images
* Contextual classification with functional Max-Margin Markov Networks
* Contextual decomposition of multi-label images
* Contextual flow
* Contextual restoration of severely degraded document images
* Contextualizing histogram
* Continuous depth estimation for multi-view stereo
* Continuous maximal flows and Wulff shapes: Application to MRFs
* Continuous ratio optimization via convex relaxation with applications to multiview 3D reconstruction
* convex relaxation approach for computing minimal partitions, A
* Convexity and Bayesian constrained local models
* Cooperative mapping of multiple PTZ cameras in automated surveillance systems
* Coupled Spectral Regression for matching heterogeneous faces
* Curvature and singularity driven diffusion for oriented pattern enhancement with singular points
* Curved Glide-Reflection Symmetry Detection
* D-Clutter: Building object model library from unsupervised segmentation of cluttered scenes
* De) focusing on global light transport for active scene recovery
* Dense 3D motion capture for human faces
* Dense saliency-based spatiotemporal feature points for action recognition
* Depth from sliding projections
* Describing objects by their attributes
* Dictionary-free categorization of very similar objects via stacked evidence trees
* Digital face makeup by example
* Dimension-free affine shape matching through subspace invariance
* Directed assistance for ink-bleed reduction in old documents
* Disambiguating the recognition of 3D objects
* Discrete tracking of parametrized curves
* Discriminative structure learning of hierarchical representations for object detection
* Discriminative subvolume search for efficient action detection
* Discriminatively trained particle filters for complex multi-object tracking
* Distance transform templates for object detection and pose estimation
* Distributed multi-target tracking in a self-configuring camera network
* Distributed volumetric scene geometry reconstruction with a network of distributed smart cameras
* distribution-based approach to tracking points in velocity vector fields, A
* Domain Transfer SVM for video concept detection
* Dual distributions of multilinear geometric entities
* Early spatiotemporal grouping with a distributed oriented energy representation
* Echocardiogram view classification using edge filtered scale-invariant motion features
* Efficient algorithms for subwindow search in object detection and localization
* Efficient image alignment using linear appearance models
* Efficient Kernels for identifying unbounded-order spatial features
* Efficient multi-label classification with hypergraph regularization
* Efficient planar graph cuts with applications in Computer Vision
* Efficient reduction of L-infinity geometry problems
* Efficient representation of local geometry for large scale object retrieval
* Efficient scale space auto-context for image segmentation and labeling
* efficient stochastic approach to groupwise non-rigid image registration, An
* Efficiently training a better visual detector with sparse eigenvectors
* empirical Bayes approach to contextual region classification, An
* empirical study of context in object detection, An
* Enforcing integrability by error correction using L1-minimization
* Enhanced Pictorial Structures for precise eye localization under incontrolled conditions
* Ensemble manifold regularization
* Epitomized priors for multi-labeling problems
* Error propagations for local bundle adjustment
* Expression-insensitive 3D face recognition using sparse representation
* Extraction of tubular structures over an orientation domain
* Face verification and identification using Facial Trait Code
* Facial deblur inference to improve recognition of blurred Faces
* Factorization for non-rigid and articulated structure using metric projections
* family of contextual measures of similarity between distributions with application to image retrieval, A
* Fast car detection using image strip features
* Fast concurrent object localization and recognition
* Fast human detection in crowded scenes by contour integration and local shape estimation
* Fast Mean Shift by compact density representation
* Fast multiple shape correspondence by pre-organizing shape instances
* Fast normalized cut with linear constraints
* Flow mosaicking: Real-time pedestrian counting without scene-specific learning
* Fourier analysis and Gabor filtering for texture analysis and local reconstruction of general shapes
* Frequency-tuned salient region detection
* From contours to regions: An empirical evaluation
* From structure-from-motion point clouds to fast location recognition
* Fuzzy-Cuts: A knowledge-driven graph-based method for medical image segmentation
* Geometric and probabilistic image dissimilarity measures for common field of view detection
* Geometric min-Hashing: Finding a (thick) needle in a haystack
* Geometric reasoning for single image structure recovery
* geometry of 2D image signals, The
* Global active contour-based image segmentation via probability alignment
* Global connectivity potentials for random field models
* Global optimization for alignment of generalized shapes
* Granularity-tunable gradients partition (GGP) descriptors for human detection
* graph-based approach to skin mole matching incorporating template-normalized coordinates, A
* Half-integrality based algorithms for cosegmentation of images
* Hardware-efficient belief propagation
* Harris corners in the real world: A principled selection criterion for interest points based on ecological statistics
* Hierarchical spatio-temporal context modeling for action recognition
* High dynamic range image reconstruction from hand-held cameras
* High-quality curvelet-based motion deblurring from an image pair
* Higher-order clique reduction in binary graph cut
* Histogram-based interest point detectors
* Histograms of oriented optical flow and Binet-Cauchy kernels on nonlinear dynamical systems for the recognition of human actions
* Holistic context modeling using semantic co-occurrences
* HOP: Hierarchical object parsing
* How far can you get with a modern face recognition test set using only simple features?
* Human age estimation using bio-inspired features
* Human motion synthesis from 3D video
* Illumination and spatially varying specular reflectance from a single view
* Image categorization by learning with context and consistency
* Image categorization with spatial mismatch kernels
* Image deblurring and denoising using color priors
* Image deblurring for less intrusive iris capture
* Image hallucination with feature enhancement
* Image registration by minimization of residual complexity
* ImageNet: A large-scale hierarchical image database
* Imbalanced RankBoost for efficiently ranking large-scale image/video collections
* Implicit elastic matching with random projections for pose-variant face recognition
* implicit Markov random field model for the multi-scale oriented representations of natural images, An
* In defense of orthonormality constraints for nonrigid structure from motion
* Increased discrimination in level set methods with embedded conditional random fields
* instance selection approach to Multiple instance Learning, An
* Interval HSV: Extracting ink annotations
* Intrinsic mean shift for clustering on Stiefel and Grassmann manifolds
* Isometric registration of ambiguous and partial data
* Joint and implicit registration for face recognition
* Joint depth and alpha matte optimization via fusion of stereo and time-of-flight sensor
* Keypoint induced distance profiles for visual recognition
* Label diagnosis through self tuning for web image search
* Large displacement optical flow
* Layered graph matching by composite cluster sampling with collaborative and competitive interactions
* Learning a distance metric from multi-instance multi-label data
* Learning based automatic face annotation for arbitrary poses and expressions from frontal images only
* Learning color and locality cues for moving object detection and segmentation
* Learning from ambiguously labeled images
* Learning general optical flow subspaces for egomotion estimation and detection of motion anomalies
* Learning IMED via shift-invariant transformation
* Learning invariant features through topographic filter maps
* Learning mappings for face synthesis from near infrared to visual light images
* Learning mixed templates for object recognition
* Learning multi-modal densities on Discriminative Temporal Interaction Manifold for group activity recognition
* Learning optimized MAP estimates in continuously-valued MRF models
* Learning partially-observed hidden conditional random fields for facial expression recognition
* Learning photometric invariance from diversified color model ensembles
* Learning query-dependent prefilters for scalable image retrieval
* Learning real-time MRF inference for image denoising
* Learning rotational features for filament detection
* Learning semantic scene models by object classification and trajectory clustering
* Learning semantic visual vocabularies using diffusion distance
* Learning shape prior models for object matching
* Learning sign language by watching TV (using weakly aligned subtitles)
* Learning signs from subtitles: A weakly supervised approach to sign language recognition
* Learning similarity measure for multi-modal 3D image registration
* Learning to associate: HybridBoosted multi-target tracker for crowded scene
* Learning to detect unseen object classes by between-class attribute transfer
* Learning to track with multiple observers
* Learning trajectory patterns by clustering: Experimental studies and comparative evaluation
* Learning visual flows: A Lie algebraic approach
* Let the kernel figure it out; Principled learning of pre-processing for kernel classifiers
* LidarBoost: Depth superresolution for ToF 3D shape scanning
* Linear embeddings in non-rigid structure from motion
* Linear solution to scale and rotation invariant object matching
* Linear spatial pyramid matching using sparse coding for image classification
* Linear stratified approach for 3D modelling and calibration using full geometric constraints
* Localized content-based image retrieval through evidence region identification
* Locally constrained diffusion process on locally densified distance spaces with applications to shape retrieval
* Locally time-invariant models of human activities using trajectories on the grassmannian
* Manhattan-world stereo
* Manifold Discriminant Analysis
* Marked point processes for crowd counting
* Markerless Motion Capture with unsynchronized moving cameras
* Markov Chain Monte Carlo combined with deterministic methods for Markov random field optimization
* Material classification using BRDF slices
* Max-margin hidden conditional random fields for human action recognition
* Maximizing intra-individual correlations for face recognition across pose differences
* Memory-based Particle Filter for face pose tracking robust under complex dynamics
* min-max framework of cascaded classifier with multiple instance learning for computer aided diagnosis, A
* minimal parameterization of the trifocal tensor, A
* Minimizing sparse higher order energy functions of discrete variables
* Modeling images as mixtures of reference images
* Monitoring, recognizing and discovering social networks
* Motion capture using joint skeleton tracking and surface estimation
* Motion pattern interpretation and detection for tracking moving vehicles in airborne video
* Moving cast shadow detection using physics-based features
* Multi-camera activity correlation analysis
* Multi-class active learning for image classification
* Multi-cue onboard pedestrian detection
* Multi-label sparse coding for automatic image annotation
* Multi-object tracking through occlusions by local tracklets filtering and global tracklets association with detection responses
* Multi-view 3D human pose estimation combining single-frame recovery, temporal integration and model adaptation
* multi-view probabilistic model for 3D object classes, A
* Multiphase geometric couplings for the segmentation of neural processes
* Multiple instance fFeature for robust part-based object detection
* Multiple view image denoising
* Multiplicative nonnegative graph embedding
* multiscale hybrid model exploiting heterogeneous contextual relationships for image segmentation, A
* Mutual information-based stereo matching combined with SIFT descriptor in log-chromaticity color space
* New appearance models for natural image matting
* Non-rigid 2D-3D pose estimation and 2D image segmentation
* Noninvasive volumetric imaging of cardiac electrophysiology
* Nonlinear Nonnegative Component Analysis
* Nonnegative Matrix Factorization with Earth Mover's Distance metric
* Nonparametric discriminant HMM and application to facial expression recognition
* nonparametric Riemannian framework for processing high angular resolution diffusion images (HARDI), A
* Nonparametric scene parsing: Label transfer via dense scene alignment
* Nonrigid registration combining global and local statistics
* Nonrigid shape recovery by Gaussian process regression
* novel feature descriptor invariant to complex brightness changes, A
* Object detection using a max-margin Hough transform
* Observable subspaces for 3D human motion recovery
* Observe locally, infer globally: A space-time MRF for detecting abnormal activities with incremental updates
* On bias correction for geometric parameter estimation in computer vision
* On compositional Image Alignment, with an application to Active Appearance Models
* On edge detection on surfaces
* On the burstiness of visual elements
* On the set of images modulo viewpoint and contrast changes
* Optimal scanning for faster object detection
* Optimal single image capture for motion deblurring
* Optimization of landmark selection for cortical surface registration
* P-brush: Continuous valued MRFs with normed pairwise distributions for image segmentation
* Pedestrian detection: A benchmark
* perceptually motivated online benchmark for image matting, A
* Photometric stereo and weather estimation using internet images
* Physics-based edge evaluation for improved color constancy
* Physiological face recognition is coming of age
* Picking the best DAISY
* Pictorial structures revisited: People detection and articulated pose estimation
* Piecewise planar city 3D modeling from street view panoramic sequences
* Planar orientation from blur gradients in a single image
* Polarization: Beneficial for visibility enhancement?
* Pose estimation for category specific multiview object localization
* Pose estimation with radial distortion and unknown focal length
* Pose search: Retrieving people using their pose
* Predicting high resolution image edges with a generic, adaptive, 3-D vehicle model
* projective framework for radiometric image analysis, A
* Projective least-squares: Global solutions with local optimization
* projector-based movable hand-held display system, A
* projector-camera setup for geometry-invariant frequency demultiplexing, A
* Random walks on graphs to model saliency in images
* Randomized structure from motion based on atomic 3D models from camera triplets
* Rank Priors for Continuous Non-Linear Dimensionality Reduction
* Real-time learning of accurate patch rectification
* Real-time O(1) bilateral filtering
* Real-time vehicle detection for highway driving
* Recognising action as clouds of space-time interest points
* Recognition of repetitive sequential human activity
* Recognition using regions
* Recognizing human group activities with localized causalities
* Recognizing indoor scenes
* Recognizing linked events: Searching the space of feasible explanations
* Recognizing realistic actions from videos in the wild
* Reconstructing sharply folding surfaces: A convex formulation
* Recovering specular surfaces using curved line images
* Reducing JointBoost-based multiclass classification to proximity search
* Regularized multi-class semi-supervised boosting
* Relighting objects from image collections
* Removing partial blur in a single image
* Resolution-Invariant Image Representation and its applications
* Retrographic sensing for the measurement of surface texture and shape
* revisit of Generative Model for Automatic Image Annotation using Markov Random Fields, A
* robust approach for automatic registration of aerial images with untextured aerial LiDAR data, A
* Robust guidewire tracking in fluoroscopy
* Robust multi-class transductive learning with graphs
* Robust object detection using marginal space learning and ranking-based multi-detector aggregation: Application to left ventricle detection in 2D MRI images
* Robust Parametric Method for Bias Field Estimation and Segmentation of MR Images, A
* Robust shadow and illumination estimation using a mixture model
* robust shape model for multi-view car alignment, A
* Robust unsupervised segmentation of degraded document images with topic models
* Robustifying eye center localization by head pose cues
* Saliency-based discriminant tracking
* Shape analysis with conformal invariants for multiply connected domains and its application to analyzing brain morphology
* Shape band: A deformable object detection approach
* Shape classification through structured learning of matching measures
* Shape comparison using perturbing shape registration
* Shape constrained figure-ground segmentation and tracking
* Shape discovery from unlabeled image collections
* Shape evolution for rigid and nonrigid shape registration and recovery
* Shape of Gaussians as feature descriptors
* Shape priors and discrete MRFs for knowledge-based segmentation
* Shape-based object recognition in videos using 3D synthetic object models
* Shared Kernel Information Embedding for Discriminative Inference
* SIFT-Rank: Ordinal description for invariant feature correspondence
* Sigma Set: A small second order statistical region descriptor
* similarity measure between vector sequences with application to handwritten word image retrieval, A
* Similarity metrics and efficient optimization for simultaneous registration
* Simultaneous image classification and annotation
* Single Image Haze Removal Using Dark Channel Prior
* Single-image optical center estimation from vignetting and tangential gradient symmetry
* Sparse subspace clustering
* Spatiotemporal stereo via spatiotemporal quadric element (stequel) matching
* Stacks of convolutional Restricted Boltzmann Machines for shift-invariant feature learning
* StaRSaC: Stable random sample consensus for parameter estimation
* Stel component analysis: Modeling spatial correlations in image class structure
* stereo approach that handles the matting problem via image warping, A
* Stereo matching in the presence of sub-pixel calibration errors
* Stereo matching with nonparametric smoothness priors in feature space
* Stereographic rectification of omnidirectional stereo pairs
* Stochastic gradient kernel density mode-seeking
* streaming framework for seamless building reconstruction from large-scale aerial LiDAR data, A
* Structured output-associative regression
* Super-resolution via recapture and Bayesian effect modeling
* Support Vector Machines in face recognition with occlusions
* Surface feature detection and description with applications to mesh matching
* SURFTrac: Efficient tracking and continuous object recognition using local feature descriptors
* Switching Gaussian Process Dynamic Models for simultaneous composite motion tracking and recognition
* Symmetric two dimensional linear discriminant analysis (2DLDA)
* Symmetry integrated region-based image segmentation
* Tensor-Based Algorithm for High-Order Graph Matching, A
* Textural Hausdorff Distance for wider-range tolerance to pose variation and misalignment in 2D face recognition
* Topology dictionary with Markov model for 3D video content-based skimming and description
* Tour the world: Building a web-scale landmark recognition engine
* Towards a practical face recognition system: Robust registration and illumination by sparse representation
* Towards geographical referencing of monocular SLAM reconstruction using 3D city models: Application to real-time accurate vision-based localization
* Towards high-resolution large-scale multi-view stereo
* Towards total scene understanding: Classification, annotation and segmentation in an automatic framework
* Tracking of a non-rigid object via patch-based dynamic appearance modeling and adaptive Basin Hopping Monte Carlo sampling
* Trajectory parsing by cluster sampling in spatio-temporal graph
* Trajectory reconstruction for affine structure-from-motion by global and local constraints
* Tubular anisotropy for 2D vessel segmentation
* Uncalibrated synthetic aperture for defocus control
* Understanding and evaluating blind deconvolution algorithms
* Understanding images of groups of people
* Understanding videos, constructing plots learning a visually grounded storyline model from annotated videos
* unified active and semi-supervised learning framework for image compression, A
* unified model of spectacular and diffuse reflectance for rough, glossy surfaces, A
* Unsupervised feature optimization (UFO): Simultaneous selection of multiple features with their detection parameters
* Unsupervised learning for graph matching
* Unsupervised learning of hierarchical spatial structures in images
* Unsupervised Maximum Margin Feature Selection with manifold regularization
* Vanishing point detection for road detection
* Vanishing points estimation by self-similarity
* Variational layered dynamic textures
* Video object segmentation by hypergraph cut
* VideoTrek: A vision system for a tag-along robot
* View-invariant dynamic texture recognition using a bag of dynamical systems
* Visibility constraints on features of 3D objects
* Visual loop closing using multi-resolution SIFT grids in metric-topological SLAM
* Visual tracking via geometric particle filtering on the affine group with optimal importance functions
* Visual tracking with online Multiple Instance Learning
* Vocabulary hierarchy optimization for effective and transferable retrieval
* Volterrafaces: Discriminant analysis using Volterra kernels
* Wavelet energy map: A robust support for multi-modal registration of medical images
* What is a camera?
* What is the spatial extent of an object?
* What's it going to cost you?: Predicting effort vs. informativeness for multi-label image annotations
* Who are you? - Learning person specific classifiers from video
383 for CVPR09

CVPR10 * *CVPR
* 3D curve sketch: Flexible curve-based stereo reconstruction and calibration
* 3D model based vehicle classification in aerial imagery
* 3D morphable model construction for robust ear and face recognition
* 3D reconstruction of glossy surfaces using stereo cameras and projector-display
* 3D Scene priors for road detection
* 3D Shape correspondence by isometry-driven greedy optimization
* 3D shape scanning with a time-of-flight camera
* AAM based face tracking with temporal matching and face segmentation
* Abrupt motion tracking via adaptive stochastic approximation Monte Carlo sampling
* ABSORB: Atlas building by Self-Organized Registration and Bundling
* Accurate 3D face reconstruction from weakly calibrated wide baseline images with profile contours
* Action classification on product manifolds
* Action unit detection with segment-based SVMs
* Adaptive generic learning for face recognition from a single sample per person
* Adaptive linear predictors for real-time tracking
* Adaptive pose priors for pictorial structures
* Admissible linear map models of linear cameras
* Aggregating local descriptors into a compact image representation
* Analysis of light transport in scattering media
* Analyzing spatially-varying blur
* Anatomical parts-based regression using non-negative matrix factorization
* Anomaly detection in crowded scenes
* approach to vectorial total variation based on geometric measure theory, An
* ARISTA: Image search to annotation on billions of web photos
* Asymmetric region-to-image matching for comparing images with generic object categories
* Attribute-centric recognition for cross-category generalization
* Authority-shift clustering: Hierarchical clustering by authority seeking on graphs
* Automatic attribution of ancient Roman imperial coins
* automatic design of feature spaces for local image descriptors using an ensemble of non-linear feature extractors, The
* Automatic discovery of meaningful object parts with latent CRFs
* Automatic image annotation using group sparsity
* Automatic point-based facial trait judgments evaluation
* automatic unsupervised classification of MR images in Alzheimer's disease, An
* Axial light field for curved mirrors: Reflect your perspective, widen your view
* Bayes optimal kernel discriminant analysis
* Beyond active noun tagging: Modeling contextual interactions for multi-class active learning
* Beyond trees: MRF inference via outer-planar decomposition
* Bidirectional relighting for 3D-aided 2D face recognition
* Bimodal gender recognition from face and fingerprint
* Boosting for transfer learning with multiple sources
* Boundary Learning by Optimization with Topological Constraints
* Breaking the interactive bottleneck in multi-class classification with active selection and binary feedback
* Building and using a semantivisual image hierarchy
* Building reconstruction using manhattan-world grammars
* Bundled depth-map merging for multi-view stereo
* Calibration-free gaze sensing using saliency maps
* Cascade object detection with deformable part models
* Cascaded L1-norm Minimization Learning (CLML) classifier for human detection
* Cascaded pose regression
* chains model for detecting parts by their context, The
* Chaotic invariants of Lagrangian particle trajectories for anomaly detection in crowded scenes
* Classification and clustering via dictionary learning with structured incoherence and shared features
* Clustering dynamic textures with the hierarchical EM algorithm
* Co-clustering of image segments using convex optimization applied to EM neuronal reconstruction
* Coded exposure imaging for projective motion deblurring
* Collect-cut: Segmentation with top-down cues discovered in multi-object images
* Combining discriminative and generative methods for 3D deformable surface and articulated pose reconstruction
* Common visual pattern discovery via spatially coherent correspondences
* Compact projection: Simple and efficient near neighbor search with practical memory requirements
* Comparative object similarity for improved recognition with few or no examples
* Compression of surface registrations using Beltrami coefficients
* Connecting modalities: Semi-supervised segmentation and annotation of images using unaligned text corpora
* Consensus photometric stereo
* constant-space belief propagation algorithm for stereo matching, A
* Constrained parametric min-cuts for automatic object segmentation
* content-aware image prior, A
* Content-aware Ranking for visual search
* Context-Aware Saliency Detection
* Context-constrained hallucination for image super-resolution
* Contour people: A parameterized model of 2D articulated human shape
* Convex shape decomposition
* Correcting over-exposure in photographs
* Cost-sensitive subspace learning for face recognition
* Covering trees and lower-bounds on quadratic assignment
* CRAM: Compact representation of actions in movies
* Cross-dataset action detection
* Curious snakes: A minimum latency solution to the cluttered background problem in active contours
* DARTs: Efficient scale-space extraction of DAISY keypoints
* Data driven mean-shift belief propagation for non-gaussian MRFs
* Data fusion through cross-modality metric learning using similarity-sensitive hashing
* Deconvolutional networks
* Delineating trees in noisy 2D images and 3D image-stacks
* Denoising vs. deblurring: HDR imaging techniques using moving cameras
* Dense interest points
* Dense non-rigid surface registration using high-order graph matching
* Depth from Diffusion
* Detecting and parsing architecture at city scale from range data
* Detecting and sketching the common
* Detecting text in natural scenes with stroke width transform
* Diffeomorphic sulcal shape analysis for cortical surface registration
* diffusion approach to seeded image segmentation, A
* Diffusion filtering without parameter tuning: Models and inference tools
* Direct image alignment of projector-camera systems with planar surfaces
* Disambiguating visual relations using loop constraints
* Discontinuous seam-carving for video retargeting
* Discovering scene categories by information projection and cluster sampling
* Discrete minimum ratio curves and surfaces
* Discriminative clustering for image co-segmentation
* Discriminative K-SVD for dictionary learning in face recognition
* Dominant orientation templates for real-time detection of texture-less objects
* Dynamic and scalable large scale image reconstruction
* Dynamic surface matching by geodesic mapping for 3D animation transfer
* Dynamic texture recognition based on distributions of spacetime oriented structure
* Dynamical binary latent variable models for 3D human pose tracking
* Efficient action spotting based on a spacetime oriented structure representation
* Efficient Additive Kernels via Explicit Feature Maps
* Efficient computation of robust low-rank matrix approximations in the presence of missing data using the L1 norm
* efficient divide-and-conquer cascade for nonlinear object detection, An
* Efficient extraction of human motion volumes by tracking
* Efficient filter flow for space-variant multiframe blind deconvolution
* Efficient hierarchical graph-based video segmentation
* Efficient histogram-based sliding window
* Efficient joint 2D and 3D palmprint matching with alignment refinement
* Efficient piecewise learning for conditional random fields
* Efficient rotation invariant object detection using boosted Random Ferns
* Efficiently selecting regions for scene understanding
* Egomotion using assorted features
* Energy minimization for linear envelope MRFs
* Estimating camera pose from a single urban ground-view omnidirectional image and a 2D building outline map
* Estimating demosaicing algorithms using image noise variance
* Estimating optical properties of layered surfaces using the spider model
* Estimating satellite attitude from pushbroom sensors
* Estimation of image bias field with sparsity constraints
* Evaluation of stereo confidence indoors and outdoors
* Exploiting global connectivity constraints for reconstruction of 3D line segments from images
* Exploiting hierarchical context on a large database of object categories
* Exploiting Monge structures in optimum subwindow search
* Exploiting simple hierarchies for unsupervised human behavior analysis
* Exploring facial expressions with compositional features
* Exploring features in a Bayesian framework for material recognition
* extension of multifactor analysis for face recognition based on submanifold learning, An
* eye for an eye: A single camera gaze-replacement method, An
* Face recognition based on image sets
* Face recognition with learning-based descriptor
* Facial point detection using boosted regression and graph models
* Factorization towards a classifier
* Far-sighted active learning on a budget for image and video recognition
* Fast and robust object segmentation with the Integral Linear Classifier
* Fast Approximate Energy Minimization with Label Costs
* Fast directional chamfer matching
* Fast global optimization of curvature
* Fast globally optimal 2D human detection with loopy graph models
* Fast image alignment in the Fourier domain
* Fast matting using large kernel matting Laplacian matrices
* Fast pattern matching using orthogonal Haar transform
* Fast polygonal integration and its application in extending Haar-like features to improve object detection
* Fast sparse representation with prototypes
* Figure-ground segmentation improves handled object recognition in egocentric video
* Finding dots: Segmentation as popping out regions from boundaries
* Finding image distributions on active curves
* Finding meaning on YouTube: Tag recommendation and category discovery
* Finding Nemo: Deformable object class modelling using curve matching
* Food recognition using statistics of pairwise local features
* framework for ultra high resolution 3D imaging, A
* Free-form mesh tracking: A patch-based approach
* Free-shape subwindow search for object localization
* game-theoretic approach to fine surface registration without initial motion estimation, A
* Generalized simultaneous registration and segmentation
* Generating sharp panoramas from motion-blurred videos
* generative perspective on MRFs in low-level vision, A
* Geo-location estimation from two shadow trajectories
* Geodesic graph cut for interactive image segmentation
* Geodesic star convexity for interactive image segmentation
* Geometric properties of multiple reflections in catadioptric camera with two planar mirrors
* Gesture recognition by learning local motion signatures
* Global and efficient self-similarity for object classification and detection
* Global and local isometry-invariant descriptor for 3D shape comparison and partial matching
* Global Gaussian approach for scene categorization using information geometry
* Global optimization for estimating a BRDF with multiple specular lobes
* globally optimal data-driven approach for image distortion estimation, A
* Globally optimal pixel labeling algorithms for tree metrics
* GPCA with denoising: A moments-based convex approach
* Gradient-directed composition of multi-exposure images
* Graph cut segmentation with a global constraint: Recovering region distribution via a bound of the Bhattacharyya measure
* Group motion segmentation using a Spatio-Temporal Driving Force Model
* Group MRF for fMRI activation detection
* Grouplet: A structured image representation for recognizing human and object interactions
* Growing semantically meaningful models for visual SLAM
* Harmony potentials for joint classification and segmentation
* Harvesting large-scale weakly-tagged image databases from the web
* Heterogeneous Conditional Random Field: Realizing joint detection and segmentation of cell regions in microscopic images
* High performance object detection by collaborative learning of Joint Ranking of Granules features
* High-Resolution Modeling of Moving and Deforming Objects Using Sparse Geometric and Dense Photometric Measurements
* Highly accurate boundary detection and grouping
* Hough transform-based voting framework for action recognition, A
* Human identity recognition in aerial images
* Hybrid multi-view reconstruction by Jump-Diffusion
* Hybrid shift map for video retargeting
* iCoseg: Interactive co-segmentation with intelligent scribble guidance
* Illumination compensation based change detection using order consistency
* Image atlas construction via intrinsic averaging on the manifold of images
* Image restoration and disparity estimation from an uncalibrated multi-layered image
* Image retrieval via probabilistic hypergraph ranking
* Image webs: Computing and exploiting connectivity in image collections
* Implicit hierarchical boosting for multi-view object detection
* Improving state-of-the-art OCR through high-precision document-specific modeling
* Improving the efficiency of hierarchical structure-and-motion
* Improving web image search results using query-relative classifiers
* Increasing depth resolution of electron microscopy of neural circuits using sparse tomographic reconstruction
* Ink-bleed reduction using functional minimization
* Integrated pedestrian classification and orientation estimation
* Interest seam image
* Isoperimetric cut on a directed graph
* Label propagation in video sequences
* Large-scale image categorization with explicit data embedding
* Large-scale image retrieval with compressed Fisher vectors
* Latent hierarchical structural learning for object detection
* Lattice Cut: Constructing superpixels using layer constraints
* Layered object detection for multi-class segmentation
* Learning 3D action models from a few 2D videos for view invariant action recognition
* Learning 3D shape from a single facial image via non-linear manifold embedding and alignment
* Learning a hierarchy of discriminative space-time neighborhood features for human action recognition
* Learning a probabilistic model mixing 3D and 2D primitives for view invariant object recognition
* Learning appearance in virtual scenarios for pedestrian detection
* Learning from interpolated images using neural networks for digital forensics
* Learning Full Pairwise Affinities for Spectral Segmentation
* Learning kernels for variants of normalized cuts: Convex relaxations and applications
* Learning mid-level features for recognition
* Learning shift-invariant sparse representation of actions
* Learning to recognize shadows in monochromatic natural images
* Learning weights for codebook in image classification and retrieval
* Line matching leveraged by point correspondences
* Linear view synthesis using a dimensionality gap light field prior
* Linked edges as stable region boundaries
* Live dense reconstruction with a single moving camera
* Local features are not lonely: Laplacian sparse coding for image classification
* Locality-constrained Linear Coding for image classification
* Localizing non-overlapping surveillance cameras under the L-Infinity norm
* LP norm multiple kernel Fisher discriminant analysis for object and image categorisation
* Lymph node detection in 3-D chest CT using a spatial prior probability
* Making specific features less discriminative to improve point-based 3D object recognition
* Manifold blurring mean shift algorithms for manifold denoising
* Many-to-one contour matching for describing and discriminating object shape
* Masked FFT registration
* Measuring visual saliency by Site Entropy Rate
* Metric-induced optimal embedding for intrinsic 3D shape analysis
* Minimum length in the tangent bundle as a model for curve completion
* Model evolution: An incremental approach to non-rigid structure from motion
* Model globally, match locally: Efficient and robust 3D object recognition
* Model-based respiratory motion compensation for image-guided cardiac interventions
* Modeling and estimating persistent motion with geometric flows
* Modeling mutual context of object and human pose in human-object interaction activities
* Modeling pixel means and covariances using factorized third-order boltzmann machines
* Modeling pixel process with scale invariant local patterns for background subtraction in complex scenes
* Monocular 3D pose estimation and tracking by detection
* Monocular SLAM with locally planar landmarks via geometric rao-blackwellized particle filtering on Lie groups
* Morphable Reflectance Fields for enhancing face recognition
* Morphological snakes
* Motion Detail Preserving Optical Flow Estimation
* Motion estimation with non-local total variation regularization
* Motion fields to predict play evolution in dynamic sport scenes
* Moving vistas: Exploiting motion for describing scenes
* Multi-class object localization by combining local contextual interactions
* Multi-cue pedestrian classification with partial occlusion handling
* Multi-domain, higher order level set scheme for 3D image segmentation on the GPU
* Multi-structure model selection via kernel optimisation
* Multi-target tracking by on-line learned discriminative appearance models
* Multi-target tracking of time-varying spatial patterns
* Multi-task warped Gaussian process for personalized age estimation
* Multi-view object class detection with a 3D geometric model
* Multi-view Scene Flow Estimation: A View Centered Variational Approach
* Multi-view structure computation without explicitly estimating motion
* Multilinear feature extraction and classification of multi-focal images, with applications in nematode taxonomy
* Multilinear pose and body shape estimation of dressed subjects from image sets
* Multimodal semi-supervised learning for image classification
* Multiple dynamic models for tracking the left ventricle of the heart from ultrasound data using particle filters and deep learning architectures
* Multiple object detection by sequential monte carlo and Hierarchical Detection Network
* multiscale competitive code via sparse representation for palmprint verification, The
* Multisensor-fusion for 3D full-body human motion capture
* Multiview constraints in frequency space and camera calibration from unsynchronized images
* Natural gradients for deformable registration
* Neuron geometry extraction by perceptual grouping in ssTEM images
* New features and insights for pedestrian detection
* new texture descriptor using multifractal analysis in multi-orientation wavelet pyramid, A
* Noise-optimal capture for high dynamic range photography
* Non-rigid structure from locally-rigid motion
* Non-uniform Deblurring for Shaken Images
* Nonparametric higher-order learning for interactive segmentation
* Nonparametric Label-to-Region by search
* novel Markov random field based deformable model for face recognition, A
* Novel observation model for probabilistic object tracking
* novel riemannian framework for shape analysis of 3D objects, A
* Object cut: Complex 3D object reconstruction through line drawing separation
* Object detection via boundary structure segmentation
* Object matching with a locally affine-invariant constraint
* Object recognition as ranking holistic figure-ground hypotheses
* Object recognition by discriminative combinations of line segments and ellipses
* Object separation in x-ray image sets
* object-dependent hand pose prior from sparse training data, An
* Object-graphs for context-aware category discovery
* Object-to-object color transfer: Optimal flows and SMSP transformations
* On Detection of Multiple Object Instances Using Hough Transforms
* On growth and formlets: Sparse multi-scale coding of planar shape
* On the design of robust classifiers for computer vision
* On-line semi-supervised multiple-instance boosting
* One-shot multi-set non-rigid feature-spatial matching
* online approach: Learning-Semantic-Scene-by-Tracking and Tracking-by-Learning-Semantic-Scene, An
* Online multi-class LPBoost
* Online multiple instance learning with no regret
* Online visual vocabulary pruning using pairwise constraints
* Online-batch strongly convex Multi Kernel Learning
* Optical flow estimation with adaptive convolution kernel prior on discrete framework
* Optimal coded sampling for temporal super-resolution
* Optimal HDR reconstruction with linear digital cameras
* Optimizing kd-trees for scalable visual descriptor indexing
* Optimizing one-shot recognition with micro-set learning
* Outlier removal using duality
* P-N learning: Bootstrapping binary classifiers by structural constraints
* Parallel and distributed graph cuts by dual decomposition
* Parallel graph-cuts by adaptive bottom-up merging
* Parametric dimensionality reduction by unsupervised regression
* Pareto discriminant analysis
* Pareto-optimal dictionaries for signatures
* Part and appearance sharing: Recursive Compositional Models for multi-view, Multi-Object Detection
* Performance evaluation of color correction approaches for automatic multi-view image and video stitching
* Person re-identification by symmetry-driven accumulation of local features
* Personalization of image enhancement
* phase only transform for unsupervised surface defect detection, The
* Piecewise planar and non-planar stereo for urban scene reconstruction
* Player localization using multiple static cameras for sports visualization
* Point-based non-rigid surface registration with accuracy estimation
* Polynomial shape from shading
* Pose-robust albedo estimation from a single image
* Posture invariant surface description and feature extraction
* Probabilistic 3D occupancy flow with latent silhouette cues
* probabilistic framework for joint segmentation and tracking, A
* probabilistic image jigsaw puzzle solver, A
* Probabilistic models for supervised dictionary learning
* Probabilistic temporal inference on reconstructed 3D scenes
* PROST: Parallel robust online simple tracking
* Proximate sensing: Inferring what-is-where from georeferenced photo collections
* Pushing the Envelope of Modern Methods for Bundle Adjustment
* Putting local features on a manifold
* Quasi-dense 3D reconstruction using tensor-based multiview stereo
* Randomized hybrid linear modeling by local best-fit flats
* Rapid and accurate developmental stage recognition of C. elegans from high-throughput image data
* Rapid face recognition using hashing
* Rapid selection of reliable templates for visual tracking
* RASL: Robust Alignment by Sparse and Low-Rank Decomposition for Linearly Correlated Images
* Ray Markov Random Fields for image-based 3D modeling: Model and efficient inference
* Reading between the Lines: Object Localization Using Implicit Cues from Image Tags
* Real time motion capture using a single time-of-flight camera
* Real-time tracking of multiple occluding objects using level sets
* Real-time vehicle global localisation with a single camera in dense urban areas: Exploitation of coarse 3D city models
* Recognizing human actions from still images with latent poses
* Reconstruction of display and eyes from a single image
* Recovering fluid-type motions using Navier-Stokes potential flow
* Recovering thin structures via nonlocal-means regularization with application to depth from defocus
* Rectification of figures and photos in document images using bounding box interface
* Rectifying rolling shutter video from hand-held devices
* Rectilinear parsing of architecture in urban environment
* Refinement of digital elevation models from shadowing cues
* Regenerative morphing
* Region moments: Fast invariant descriptors for detecting small image structures
* Relaxing the 3L algorithm for an accurate implicit polynomial fitting
* Removal of 3D facial expressions: A learning-based approach
* Removing rolling shutter wobble
* Robust classification of objects, faces, and flowers using natural image statistics
* Robust flash deblurring
* Robust order-based methods for feature description
* Robust piecewise-planar 3D reconstruction and completion from large-scale unstructured point data
* Robust RVM regression using sparse outlier model
* Robust video denoising using low rank matrix completion
* role of features, algorithms and data in visual recognition, The
* Safety in numbers: Learning categories from few examples with multi model knowledge transfer
* Scalable active matching
* Scalable Face Image Retrieval with Identity-Based Quantization and Multireference Reranking
* Scale-hierarchical 3D object recognition in cluttered scenes
* Scale-invariant heat kernel signatures for non-rigid shape recognition
* Scene understanding by statistical modeling of motion patterns
* Search strategies for multiple landmark detection by submodular maximization
* Secrets of optical flow estimation and their principles
* Segmentation of building facades using procedural shape priors
* Segmenting video into classes of algorithm-suitability
* Self-calibrating photometric stereo
* Semantic context modeling with maximal margin Conditional Random Fields for automatic image annotation
* Semi-supervised hashing for scalable image retrieval
* Sensor saturation in Fourier multiplexed imaging
* Shape and refractive index recovery from single-view polarisation images
* Shape-based similarity retrieval of Doppler images for clinical decision support
* shape-driven MRF model for the segmentation of organs in medical images, A
* Sign ambiguity resolution for phase demodulation in interferometry with application to prelens tear film analysis
* Silhouette transformation based on walking speed for gait identification
* Simultaneous foreground, background, and alpha estimation for image matting
* Simultaneous point matching and 3D deformable surface reconstruction
* Simultaneous pose, correspondence and non-rigid shape
* Simultaneous searching of globally optimal interacting surfaces with shape priors
* Simultaneous surveillance camera calibration and foot-head homology estimation from human detections
* Single image depth estimation from predicted semantic labels
* Sparse representation using nonnegative curds and whey
* Sparsity model for robust optical flow estimation at motion discontinuities
* Spatial-bag-of-features
* Spatialized epitome and its applications
* spatially varying PSF-based prior for alpha matting, A
* SPEC hashing: Similarity preserving algorithm for entropy-based coding
* Specular surface reconstruction from sparse reflection correspondences
* Spherical embeddings for non-Euclidean dissimilarities
* Spike train driven dynamical models for human actions
* square-root sampling approach to fast histogram-based search, A
* Steiner tree approach to efficient object detection, A
* Stratified learning of local anatomical context for lung nodules in CT images
* study on continuous max-flow and min-cut approaches, A
* Sufficient dimension reduction for visual sequence classification
* SUN database: Large-scale scene recognition from abbey to zoo
* Super resolution using edge prior and single image detail synthesis
* Supervised translation-invariant sparse coding
* Support vector regression for multi-view gait recognition based on local motion feature selection
* Surface color estimation based on inter- and intra-pixel relationships in outdoor scenes
* Surface extraction from binary volumes with higher-order smoothness
* Surface stereo with soft segmentation
* SVM for edge-preserving filtering
* Tag-based web photo retrieval improved by batch mode re-tagging
* Talking pictures: Temporal grouping and dialog-supervised person recognition
* Taxonomic classification for web-based videos
* Temporal causality for the analysis of visual events
* theory of phase-sensitive rotation invariance with spherical harmonic and moment-based representations, A
* theory of plenoptic multiplexing, A
* Tiered scene labeling with dynamic programming
* Topic regression multi-modal Latent Dirichlet Allocation for image annotation
* Total Bregman divergence and its applications to shape retrieval
* Toward coherent object detection and scene layout understanding
* Towards general motion-based face recognition
* Towards Internet-scale multi-view stereo
* Towards semantic embedding in visual vocabulary
* Towards weakly supervised semantic segmentation by means of multiple instance and multitask learning
* Tracking people interacting with objects
* Tracking the invisible: Learning where the object might be
* Tracking with local spatio-temporal motion patterns in extremely crowded scenes
* Trajectory matching from unsynchronized videos
* Transductive segmentation of live video with non-stationary background
* Transform coding for fast approximate nearest neighbor search in high dimensions
* Triangulation made easy
* Two perceptually motivated strategies for shape classification
* Unified graph matching in Euclidean spaces
* Unified Real-Time Tracking and Recognition with Rotation-Invariant Fast Features
* Unsupervised detection and segmentation of identical objects
* Unsupervised discovery of co-occurrence in sparse high dimensional data
* Unsupervised discovery of facial events
* Unsupervised learning of invariant features using video
* Upsampling range data in dynamic environments
* Use bin-ratio information for category and scene classification
* Using cloud shadows to infer scene structure and camera calibration
* Using optical defocus to denoise
* Variational segmentation of elongated volumetric structures
* Vehicle detection and tracking in wide field-of-view aerial video
* Vessel scale-selection using MRF optimization
* Visual Classification With Multitask Joint Sparse Representation
* Visual Event Recognition in Videos by Learning from Web Data
* Visual object tracking using adaptive correlation filters
* Visual recognition and detection under bounded computational resources
* Visual recognition using mappings that replicate margins
* Visual tracking decomposition
* Visual tracking via incremental self-tuning particle filtering on the affine group
* Visual tracking via weakly supervised learning from multiple imperfect oracles 1
* Warp propagation for video resizing
* Warping background subtraction
* Weakly-supervised hashing in kernel space
* What helps where - and why? Semantic relatedness for knowledge transfer
* What is an object?
* What's going on? Discovering spatio-temporal dependencies in dynamic scenes
* YouTubeCat: Learning to categorize wild web videos
462 for CVPR10

CVPR11 * *CVPR
* 2.5D building modeling with topology control
* 2D nonrigid partial shape matching using MCMC and contour subdivision
* 3-D marked point process model for multi-view people detection, A
* 3D motion reconstruction for real-world camera motion
* Abnormal detection using interaction energy potentials
* Accelerated low-rank visual recovery by random projection
* Action recognition by dense trajectories
* Action recognition from a distributed representation of pose and appearance
* Action recognition using context and appearance distribution features
* Action recognition with multiscale spatio-temporal contexts
* Active learning for piecewise planar 3D reconstruction
* Activity recognition using dynamic subspace angles
* Actom sequence models for efficient action detection
* AdaBoost on low-rank PSD matrices for metric learning
* Adapted Gaussian models for image classification
* Adapting an object detector by considering the worst case: A conservative approach
* Adaptive and discriminative metric differential tracking
* Adaptive random forest: How many experts to ask before making a decision?
* Adequate reconstruction of transparent objects on a shoestring budget
* Aesthetic quality classification of photographs based on color harmony
* Affine-invariant diffusion geometry for the analysis of deformable 3D shapes
* Affinity learning on a tensor product graph with applications to shape and image retrieval
* Aggregating gradient distributions into intensity orders: A novel local image descriptor
* analysis of using high-frequency sinusoidal illumination to measure the 3D shape of translucent objects, An
* Are sparse representations really relevant for image classification?
* Articulated pose estimation with flexible mixtures-of-parts
* associate-predict model for face recognition, An
* Asymmetric distances for binary embeddings
* Auto-directed video stabilization with robust L1 optimal camera paths
* Automatic adaptation of a generic pedestrian detector to a specific traffic scene
* Automatic photo-to-terrain alignment for the annotation of mountain pictures
* BabyTalk: Understanding and Generating Simple Image Descriptions
* Bayesian approach to adaptive video super resolution, A
* Bayesian deblurring with integrated noise estimation
* Beyond Alhazen's problem: Analytical projection model for non-central catadioptric cameras with quadric mirrors
* Biased normalized cuts
* Blind deconvolution using a normalized sparsity measure
* Blur kernel estimation using the radon transform
* Boosted local structured HOG-LBP for object localization
* Boundary Preserving Dense Local Regions
* branch and contract algorithm for globally optimal fundamental matrix estimation, A
* Branch and track
* brute-force algorithm for reconstructing a scene from two projections, A
* Bypassing synthesis: PLS for face recognition with pose, low-resolution and sketch
* Camera calibration with lens distortion from low-rank textures
* Capturing Time-of-Flight data with confidence
* City-scale landmark identification on mobile devices
* Classification with scattering operators
* closed form solution to robust subspace estimation and clustering, A
* Clues from the beaten path: Location estimation with bursty sequences of tourist photos
* coarse-to-fine approach for fast deformable object detection, A
* Collaborative personalization of image enhancement
* Combining attributes and Fisher vectors for efficient image retrieval
* Combining randomization and discrimination for fine-grained image categorization
* Compact hashing with joint optimization of search accuracy and time
* Comparing data-dependent and data-independent embeddings for classification and ranking of Internet images
* complete statistical inverse ray tracing approach to multi-view stereo, A
* Connecting non-quadratic variational models and MRFs
* Constructing image panoramas using dual-homography warping
* Context tracker: Exploring supporters and distracters in unconstrained environments
* Contextualizing object detection and classification
* Continuously tracking and see-through occlusion based on a new hybrid synthetic aperture imaging model
* Contour cut: Identifying salient contours in images by solving a Hermitian eigenvalue problem
* Contour-based joint clustering of multiple segmentations
* Correspondence driven adaptation for human profile recognition
* Coupled information-theoretic encoding for face photo-sketch recognition
* Cross-view action recognition via view knowledge transfer
* CrossTrack: Robust 3D tracking from two cross-sectional views
* Deformation and illumination invariant feature point descriptor
* deformation and lighting insensitive metric for face recognition based on dense correspondences, A
* Detection free tracking: Exploiting motion and topology for segmenting and tracking under entanglement
* Detection of mitosis within a stem cell population of high cell confluence in phase-contrast microscopy images
* Deterministically maximizing feasible subsystem for robust model fitting with unit norm constraint
* direct formulation for totally-corrective multi-class boosting, A
* Dirichlet process mixture models on symmetric positive definite matrices for appearance clustering in video surveillance applications
* Discrete-continuous optimization for large-scale structure from motion
* Discriminative affine sparse codes for image classification
* Discriminative image warping with attribute flow
* Discriminative spatial pyramid
* Discriminative tag learning on YouTube videos with latent sub-tags
* Distributed computer vision algorithms through distributed averaging
* Distributed message passing for large scale graphical models
* Dynamic batch mode active learning
* Earth mover's prototypes: A convex learning approach for discovering activity patterns in dynamic scenes
* Edgel index for large-scale sketch-based image search
* Effective 3D object detection and regression using probabilistic segmentation features in CT images
* effective document image deblurring algorithm, An
* Efficient Euclidean distance transform using perpendicular bisector segmentation
* Efficient groupwise non-rigid registration of textured surfaces
* Efficient marginal likelihood optimization in blind deconvolution
* Efficient MCMC sampling with implicit shape representations
* Efficient multi-camera detection, tracking, and identification using a shared set of haar-features
* Efficient region search for object detection
* Efficient subwindow search with submodular score functions
* Efficient track linking methods for track graphs using network-flow and set-cover techniques
* Efficient training for pairwise or higher order CRFs via dual decomposition
* Energy based multiple model fitting for non-rigid structure from motion
* Enforcing similarity constraints with integer programming for better scene text recognition
* Enforcing topological constraints in random field image segmentation
* Enhancing by saliency-guided decolorization
* Entropy rate superpixel segmentation
* Estimating Motion and size of moving non-line-of-sight objects in cluttered environments
* Evaluating combinational color constancy methods on real-world images
* Evaluating knowledge transfer and zero-shot learning in a large-scale setting
* Evaluation of background subtraction techniques for video surveillance
* Exhaustive family of energies minimizable exactly by a graph cut
* Exploiting phonological constraints for handshape inference in ASL video
* Exploring aligned complementary image pair for blind motion deblurring
* Exploring relations of visual codes for image classification
* Extracting and locating temporal motifs in video scenes using a hierarchical non parametric Bayesian model
* Extracting vanishing points across multiple views
* Face illumination transfer through edge-preserving filters
* Face image retrieval by shape manipulation
* Face recognition in unconstrained videos with matched background similarity
* Fast and high-performance template matching method
* Fast Cost-Volume Filtering for Visual Correspondence and Beyond
* Fast unsupervised ego-action learning for first-person sports videos
* Feature context for image classification and object detection
* Feature guided motion artifact reduction with structure-awareness in 4D CT images
* Feature- and depth-supported modified total variation optical flow for 3D motion field estimation in real scenes
* Finding the weakest link in person detectors
* FlowBoost: Appearance learning from sparsely annotated video
* Foreground segmentation of live videos using locally competing 1SVMs
* Foreground-background segmentation using iterated distribution matching
* From 3D scene geometry to human workspace
* From active contours to active surfaces
* From co-saliency to co-segmentation: An efficient and fully unsupervised energy minimization model
* From partial shape matching through local deformation to robust global shape similarity for object detection
* From region similarity to category discovery
* fully automated greedy square jigsaw puzzle solver, A
* Functional categorization of objects using real-time markerless motion capture
* Fusion of GPS and Structure-from-Motion Using Constrained Bundle Adjustments
* Gated classifiers: Boosting under high intra-class variation
* general method for the point of regard estimation in 3D space, A
* Generalized Gaussian process models
* Generalized group sparse classifiers with application in fMRI brain decoding
* Generalized Probabilistic Framework for Compact Codebook Creation, A
* Generalized projection based M-estimator: Theory and applications
* generative model for 3D urban scene understanding from movable platforms, A
* generative statistical model for tracking multiple smooth trajectories, A
* Geometric LP-norm feature pooling for image classification
* Glare encoding of high dynamic range images
* Global contrast based salient region detection C
* global optimization approach to robust multi-model fitting, A
* Global optimization for optimal generalized procrustes analysis
* global sampling method for alpha matting, A
* Global stereo matching leveraged by sparse ground control points
* Global temporal registration of multiple non-rigid surface sequences
* Globally-optimal greedy algorithms for tracking a variable number of objects
* Graph connectivity in sparse subspace clustering
* Graph embedding discriminant analysis on Grassmannian manifolds for improved image set matching
* Graph matching through entropic manifold alignment
* GraphTrack: Fast and globally optimal tracking in videos
* Heat-mapping: A robust approach toward perceptually consistent mesh segmentation
* Hello neighbor: Accurate object retrieval with k-reciprocal nearest neighbors
* Heterogeneous image feature integration via multi-modal spectral clustering
* Hierarchical anatomical brain networks for MCI prediction by partial least square analysis
* hierarchical conditional random field model for labeling and segmenting images of street scenes, A
* Hierarchical semantic indexing for large scale image retrieval
* High level describable attributes for predicting aesthetics and interestingness
* High resolution multispectral video capture with a hybrid camera system
* High-dimensional signature compression for large-scale image classification
* High-frequency shape and albedo from shading using natural image statistics
* High-precision localization using visual landmarks fused with range data
* High-quality shape from multi-view stereo and shading under general illumination
* High-resolution hyperspectral imaging via matrix factorization
* How does person identity recognition help multi-person tracking?
* Human brain labeling using image similarities
* Hybrid generative-discriminative classification using posterior divergence
* Hyper-graph matching via reweighted random walks
* Identifying players in broadcast sports videos using conditional random fields
* Illumination estimation and cast shadow detection through a higher-order graphical model
* Illumination invariant feature extraction based on natural images statistics: Taking face images as an example
* Image analysis by counting on a grid
* Image annotation using bi-relational graph of images and semantic labels
* Image classification by non-negative sparse coding, low-rank and sparse decomposition
* Image ranking and retrieval based on multi-attribute queries
* Image retrieval with geometry-preserving visual phrases
* Image saliency: From intrinsic to extrinsic context
* Importance filtering for image retargeting
* importance of intermediate representations for the modeling of 2D shape detection: Endstopping and curvature tuned computations, The
* Improving classifiers with unlabeled weakly-related videos
* Inertial sensor-aligned visual feature descriptors
* Inference for order reduction in Markov random fields
* Instantly telling what happens in a video sequence using simple features
* Interactively building a discriminative vocabulary of nameable attributes
* Internal statistics of a single natural image
* Interreflection removal for photometric stereo by using spectrum-dependent albedo
* Intrinsic dense 3D surface tracking
* Intrinsic images decomposition using a local and global sparse representation of reflectance
* Intrinsic images using optimization
* Is face recognition really a Compressive Sensing problem?
* Iterative quantization: A procrustean approach to learning binary codes
* Joint face alignment with a generic deformable face model
* Joint segmentation and classification of human actions in video
* Kernelized structural SVM learning for supervised object segmentation
* L1 rotation averaging using the Weiszfeld algorithm
* L1-based variational model for Retinex theory and its application to medical images, An
* Landmark/image-based deformable registration of gene expression data
* large-scale benchmark dataset for event recognition in surveillance video, A
* Large-scale image classification: Fast feature extraction and SVM training
* Large-Scale Live Active Learning: Training Object Detectors with Crawled Data and Crowds
* Learning a blind measure of perceptual image quality
* Learning a discriminative dictionary for sparse coding via label consistent K-SVD
* Learning affinities and dependencies for multi-target tracking using a CRF model
* Learning and matching multiscale template descriptors for real-time detection, localization and tracking
* Learning better image representations using flobject analysis
* Learning context for collective activity recognition
* Learning effective human pose estimation from inaccurate annotation
* Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis
* Learning hierarchical poselets for human parsing
* Learning image representations from the pixel level via hierarchical sparse coding
* Learning image Vicept description via mixed-norm regularization for large scale semantic image search
* Learning invariance through imitation
* Learning message-passing inference machines for structured prediction
* Learning non-local range Markov Random field for image restoration
* Learning object color models from multi-view constraints
* Learning people detection models from few training samples
* Learning photographic global tonal adjustment with a database of input-output image pairs
* Learning structured prediction models for interactive image labeling
* Learning temporally consistent rigidities
* Learning the easy things first: Self-paced visual category discovery
* Learning to find occlusion regions
* Learning to recognize objects in egocentric activities
* Learning to share visual appearance for multiclass object detection
* Learning-based hypothesis fusion for robust catheter tracking in 2D X-ray fluoroscopy
* Least squares surface reconstruction from gradients: Direct algebraic methods with spectral, Tikhonov, and constrained regularization
* light-path less traveled, The
* Line-based relative pose estimation
* Linearity of each channel pixel values from a surface in and out of shadows and its applications
* Local isomorphism to solve the pre-image problem in kernel methods
* Locality-sensitive support vector machine by exploring local correlation and global regularization
* Localizing Parts of Faces Using a Consensus of Exemplars
* magic sigma, The
* Majorization-minimization mixture model determination in image segmentation
* Making the right moves: Guiding alpha-expansion using local primal-dual gaps
* Markerless motion capture of interacting characters using multi-view image segmentation
* Matching 2D image lines to 3D models: Two improvements and a new algorithm
* Max-margin clustering: Detecting margins from projections of points on lines
* Minimum error bounded efficient L1 tracker with occlusion detection
* Mining discriminative co-occurrence patterns for visual recognition
* MKPM: A multiclass extension to the kernel projection machine
* Modeling human activities as speech
* Modeling the joint density of two images under a variety of transformations
* Modelling composite shapes by Gibbs random fields
* Monocular 3D scene understanding with explicit occlusion reasoning
* Motion denoising with application to time-lapse photography
* Multi-agent event recognition in structured scenarios
* Multi-label learning with incomplete class assignments
* Multi-layer group sparse coding: For concurrent image classification and annotation
* Multi-level inference by relaxed dual decomposition for human pose segmentation
* Multi-spectral SIFT for scene category recognition
* Multi-target tracking by continuous energy minimization
* Multi-view reconstruction preserving weakly-supported surfaces
* Multichannel Edge-Weighted Centroidal Voronoi Tessellation algorithm for 3D super-alloy image segmentation, A
* Multicore bundle adjustment
* Multifactor analysis based on factor-dependent geometry
* Multiobject tracking as maximum weight independent set
* Multiscale geometric and spectral analysis of plane arrangements
* Multiview registration via graph diffusion of dual quaternions
* Multiview specular stereo reconstruction of large mirror surfaces
* Natural image denoising: Optimality and inherent bounds
* Noise resistant graph ranking for improved web image search
* Noise suppression in low-light images through joint denoising and demosaicing
* non-convex relaxation approach to sparse dictionary learning, A
* Non-negative local coordinate factorization for image representation
* Non-negative matrix factorization as a feature selection tool for maximum margin classifiers
* Non-rigid structure from motion with complementary rank-3 spaces
* NonLinear refinement of structure from motion reconstruction by taking advantage of a partial knowledge of the environment
* Nonlinear shape manifolds as shape priors in level set segmentation and tracking
* Nonlocal matting
* Nonnegative sparse coding for discriminative semi-supervised learning
* Nonparametric density estimation on a graph: Learning framework, fast approximation and application in image segmentation
* Novel 4-D Open-Curve Active Contour and curve completion approach for automated tree structure extraction
* novel parametrization of the perspective-three-point problem for a direct computation of absolute camera position and orientation, A
* novel supervised level set method for non-rigid object tracking, A
* Novelty detection from an ego-centric perspective
* O(N) implicit subspace embedding for unsupervised multi-scale image segmentation
* Object association across PTZ cameras using logistic MIL
* Object cosegmentation
* Object recognition with hierarchical kernel descriptors
* Object segmentation by alignment of poselet activations to image contours
* Object stereo: Joint stereo matching and object segmentation
* Occlusion boundary detection and figure/ground assignment from optical flow
* On analyzing video with very small motions
* On deep generative models with applications to recognition
* On dynamic scene geometry for view-invariant action matching
* On dynamic scene geometry for view-invariant action matching
* Online detection of unusual events in videos via dynamic sparse coding
* Online domain adaptation of a pre-trained cascade of classifiers
* Online environment mapping
* Online group-structured dictionary learning
* Optimal similarity registration of volumetric images
* Optimal spatio-temporal path discovery for video event detection
* Ordinal hyperplanes ranker with cost sensitivities for age estimation
* P2C2: Programmable pixel compressive camera for high speed imaging
* Parameter learning with truncated message-passing
* Parsing human motion with stretchable models
* Partial similarity based nonparametric scene parsing in certain environment
* Particle filter with state permutations for solving image jigsaw puzzles
* pattern framework driven by the Hamming distance for structured light-based reconstruction with a single image, A
* PClines: Line detection using parallel coordinates
* Person re-identification by probabilistic relative distance comparison
* Piecing together the segmentation jigsaw using context
* polar representation of motion and implications for optical flow, A
* Pose-Robust Recognition of Low-Resolution Face Images
* Predicting image matching using affine distortion models
* Principal regression analysis
* Probabilistic event logic for interval-based event recognition
* Probabilistic gaze estimation without active personal calibration
* probabilistic model for recursive factorized image features, A
* probabilistic representation for efficient large scale visual recognition tasks, A
* Probabilistic simultaneous pose and non-rigid shape recovery
* Projective alignment of range and parallax data
* Proposal generation for object detection using cascaded ranking SVMs
* Query-specific visual semantic spaces for web image re-ranking
* Radiometric calibration by transform invariant low-rank structure
* Random field topic model for semantic region analysis in crowded scenes from tracklets
* Random maximum margin hashing
* rank-order distance based clustering algorithm for face tagging, A
* Rank-SIFT: Learning to rank repeatable local interest points
* Real Time Head Pose Estimation with Random Regression Forests
* Real-Time Human Pose Recognition in Parts from Single Depth Images
* Real-time visual tracking using compressive sensing
* Recognition using visual phrases
* Recognizing human actions by attributes
* Reconstructing an image from its local descriptors
* Reconstruction of relief objects from line drawings
* Recovering shape from a single image of a mirrored surface from curvature constraints
* Recovery of corrupted low-rank matrices via half-quadratic based nonconvex minimization
* Rectification and 3D reconstruction of curved document images
* Reduced epipolar cost for accelerated incremental SfM
* Reflection detection in image sequences
* Registration for 3D surfaces with large deformations using quasi-conformal curvature flow
* Registration of camera captured documents under non-rigid deformation
* Regression-based label fusion for multi-atlas segmentation
* Relative pose problem for non-overlapping surveillance cameras with known gravity vector
* Repetition-based dense single-view reconstruction
* Robust and efficient regularized boosting using total Bregman divergence
* Robust classification using structured sparse representation
* Robust discriminative wire structure modeling with application to stent enhancement in fluoroscopy
* robust method for vector field learning with application to mismatch removing, A
* Robust point set registration using EM-ICP with information-theoretically optimal outlier handling
* Robust sparse coding for face recognition
* Robust tracking using local sparse appearance model and K-selection
* RUNE-Tag: A high accuracy fiducial marker with strong occlusion resilience
* Saliency estimation using a non-parametric low-level vision model
* Salient coding for image classification
* Sampling bedrooms
* scalable dual approach to semidefinite metric learning, A
* Scalable multi-class object detection
* Scale and Rotation Invariant Matching Using Linearly Augmented Trees
* Scale invariant cosegmentation for image groups
* Scenario-based video event recognition by constraint flow
* Scene flow estimation by growing correspondence seeds
* Scene shape from texture of objects
* Segment an image by looking into an image corpus
* segmentation-aware object detection model with occlusion handling, A
* Semantic structure from motion
* Semi-Supervised Video Segmentation Using Tree Structured Graphical Models
* Separating reflective and fluorescent components of an image
* Shape estimation in natural illumination
* Shape from specular flow: Is one flow enough?
* Shape grammar parsing via Reinforcement Learning
* Shape-based pedestrian parsing
* Shared parts for deformable part-based models
* Sharing features between objects and their attributes
* Simulating human saccadic scanpaths on natural images
* Simultaneous dimensionality reduction and human age estimation via kernel partial least squares regression
* Single Image Super-Resolution Using Gaussian Process Regression
* Single-image shadow detection and removal using paired regions
* sLLE: Spherical locally linear embedding with applications to tomography
* Smoothly varying affine stitching
* Sobolev-type metric for polar active contours, A
* Space-time super-resolution from a single video
* Sparse approximated nearest points for image set classification
* Sparse concept coding for visual analysis
* Sparse image representation with epitomes
* Sparse reconstruction cost for abnormal event detection
* Sparse shape composition: A new framework for shape prior modeling
* Sparsity-based image denoising via dictionary learning and structural clustering
* Spatial-DiscLDA for visual recognition
* Stable multi-target tracking in real-time surveillance video
* Statistics of real-world hyperspectral images
* Structure from motion blur in low light
* Structure from motion for scenes with large duplicate structures
* Structure-from-motion based hand-eye calibration using L-inf minimization
* Structured light 3D scanning in the presence of global illumination
* study of Nesterov's scheme for Lagrangian decomposition and MAP labeling, A
* Style transfer matrix learning for writer adaptation
* Submodular decomposition framework for inference in associative Markov networks with global constraints
* Submodularity beyond submodular energies: Coupling edges in graph cuts
* Supervised hierarchical Pitman-Yor process for natural scene segmentation
* Supervised hypergraph labeling
* Supervised local subspace learning for continuous head pose estimation
* Support tucker machines
* Symmetric piecewise planar object reconstruction from a single image
* Tag localization with spatial correlations and joint group sparsity
* TaylorBoost: First and second-order boosting algorithms with explicit margin control
* theory of differential photometric stereo for unknown isotropic BRDFs, A
* theory of multi-perspective defocusing, A
* Three-dimensional kaleidoscopic imaging
* Time and space efficient spectral clustering via column sampling
* Topologically-robust 3D shape matching based on diffusion geometry and seed growing
* Topology-adaptive multi-view photometric stereo
* Total recall II: Query expansion revisited
* Total variation for cyclic structures: Convex relaxation and efficient minimization
* Towards a practical lipreading system
* Towards cross-category knowledge propagation for learning visual concepts
* Tracking 3D human pose with large root node uncertainty
* Tracking low resolution objects by metric preservation
* Translation symmetry detection in a fronto-parallel view
* TVParser: An automatic TV video parsing method
* two-stage reconstruction approach for seeing through water, A
* Unbiased look at dataset bias
* Uncovering vein patterns from color skin images for forensic analysis
* unified framework for locating and recognizing human actions, A
* Unsupervised auxiliary visual words discovery for large-scale image object retrieval
* Unsupervised local color correction for coarsely registered images
* Unsupervised random forest indexing for fast action search
* Using 3D scene structure to improve tracking
* Using global bag of features models in random fields for joint categorization and segmentation of objects
* Using Ripley's K-function to improve graph-based clustering techniques
* Using specular highlights as pose invariant features for 2D-3D pose estimation
* Variable grouping for energy minimization
* Vehicle tracking across nonoverlapping cameras using joint kinematic and appearance features
* Visual and semantic similarity in ImageNet
* Visual saliency detection by spatially weighted dissimilarity
* Visual textures as realizations of multivariate log-Gaussian Cox processes
* Wavelet belief propagation for large scale inference problems
* What makes a chair a chair?
* What makes an image memorable?
* What you saw is not what you get: Domain adaptation using asymmetric kernel transforms
* Where's Waldo: Matching people in images of crowds
* Which parts of the face give out your identity?
* Who are you with and where are you going?
* Wide-angle micro sensors for vision on a tight budget
* Wide-baseline stereo for face recognition with large pose variation
439 for CVPR11

CVPR12 * *CVPR
* 2.5D building modeling by discovering global regularities
* 2D/3D rotation-invariant detection using equivariant filters and kernel weighted mapping
* 3D Constrained Local Model for rigid and non-rigid facial tracking
* 3D extension to cortex like mechanisms for 3D object class recognition, A
* 3D visual phrases for landmark recognition
* A-Optimal Non-negative Projection for image representation
* Accidental pinhole and pinspeck cameras: Revealing the scene outside the picture
* Action bank: A high-level representation of activity in video
* Action recognition by exploring data distribution and feature correlation
* Actionable saliency detection: Independent motion detection without independent motion estimation
* Active attentional sampling for speed-up of background subtraction
* Active image clustering: Seeking constraints from humans to complement algorithms
* Active learning for semantic segmentation with expected change
* Adaptive figure-ground classification
* Affine-invariant, elastic shape analysis of planar contours
* Affinity aggregation for spectral clustering
* Affinity learning via self-diffusion for image segmentation and clustering
* Aligning images in the wild
* analysis of color demosaicing in plenoptic cameras, An
* Angular domain reconstruction of dynamic 3D fluid surfaces
* Application of the mean field methods to MRF optimization in computer vision
* Are we ready for autonomous driving? The KITTI vision benchmark suite
* Articulated people detection and pose estimation: Reshaping the future
* Articulated pose estimation with parts connectivity using discriminative local oriented contours
* Augmenting deformable part models with irregular-shaped object patches
* Auto face re-ranking by mining the web and video archives
* Automated annotation of coral reef survey images
* Automated quantitative description of spiral galaxy arm-segment structure
* Automated reconstruction of tree structures using path classifiers and Mixed Integer Programming
* Automatic discovery of groups of objects for scene understanding
* Automatic mitral leaflet tracking in echocardiography by outlier detection in the low-rank representation
* Automatic upright adjustment of photographs
* Autonomous cleaning of corrupted scanned documents: A generative modeling approach
* AVA: A large-scale database for aesthetic visual analysis
* Background modeling using adaptive pixelwise kernel variances in a hybrid feature space
* Bag of textons for image segmentation via soft clustering and convex shift
* Batch mode Adaptive Multiple Instance Learning for computer vision tasks
* Bayesian geometric modeling of indoor scenes
* Beyond spatial pyramids: Receptive field learning for pooled image features
* Bilevel sparse coding for coupled feature spaces
* biquadratic reflectance model for radiometric image analysis, A
* Bispectral photometric stereo based on fluorescence
* Boosting algorithms for simultaneous feature extraction and selection
* Boosting bottom-up and top-down visual features for saliency estimation
* branch-and-bound algorithm for globally optimal hand-eye calibration, A
* Branch-and-price global optimization for multi-view multi-target tracking
* Bridging the past, present and future: Modeling scene activities from event relationships and global rules
* Building a dictionary of image fragments
* bundle approach to efficient MAP-inference by Lagrangian relaxation, A
* Cache-efficient graph cuts on structured grids
* Camera spectral sensitivity estimation from a single image under unknown illumination by using fluorescence
* Cats and dogs
* Center-Shift: An approach towards automatic robust mesh segmentation (ARMS)
* Chebyshev approximations to the histogram X^2 kernel
* City scale geo-spatial trajectory estimation of a moving camera
* Classifying covert photographs
* closed-form solution to uncalibrated photometric stereo via diffuse maxima, A
* codebook-free and annotation-free approach for fine-grained image categorization, A
* Collection flow
* Color attributes for object detection
* Color constancy using faces
* combined pose, object, and feature model for action understanding, A
* Complex loss optimization via dual decomposition
* Compressive depth map acquisition using a single photon-counting detector: Parametric signal processing meets sparsity
* Computer vision aided target linked radiation imaging
* Computing nearest-neighbor fields via Propagation-Assisted KD-Trees
* Conditional regression forests for human pose estimation
* Connected contours: A new contour completion model that respects the closure effect
* Connecting the dots in multi-class classification: From nearest subspace to collaborative representation
* Consistent depth maps recovery from a trinocular video sequence
* constrained latent variable model, A
* Context aware topic model for scene recognition
* Contextual boost for pedestrian detection
* contextual maximum likelihood framework for modeling image registration, A
* Contour-based recognition
* Convex reduction of high-dimensional kernels for visual classification
* convex representation for the vectorial Mumford-Shah functional, A
* Coupling detection and data association for multiple object tracking
* Covariance discriminative learning: A natural and efficient approach to image set classification
* Cross-based local multipoint filtering
* Cross-view activity recognition using Hankelets
* Curvature-based regularization for surface approximation
* Customizing biometric authentication systems via discriminative score calibration
* D-Nets: Beyond patch-based image descriptors
* data driven method for feature transformation, A
* data-driven approach for facial expression synthesis in video, A
* database for fine grained activity detection of cooking activities, A
* DCMSVM: Distributed parallel training for single-machine multiclass classifiers
* Decentralized particle filter for joint individual-group tracking
* Decomposing and regularizing sparse/non-sparse components for motion field estimation
* Decomposing Global Light Transport Using Time of Flight Imaging
* Dense Lagrangian motion estimation with occlusions
* Dense reconstruction on-the-fly
* Depth from optical turbulence
* Describing the scene as a whole: Joint object detection, scene classification and semantic segmentation
* Detecting activities of daily living in first-person camera views
* Detecting regions of interest in dynamic scenes with camera motions
* Detecting texts of arbitrary orientations in natural images
* Detection by detections: Non-parametric detector adaptation for a video
* Discovering and exploiting 3D symmetries in structure from motion
* Discovering discriminative action parts from mid-level video representations
* Discovering important people and objects for egocentric video summarization
* Discovering localized attributes for fine-grained recognition
* Discrete texture traces: Topological representation of geometric context
* Discrete-continuous optimization for multi-target tracking
* Discriminant Image Filter Learning for Face Recognition with Local Binary Pattern Like Representation
* Discriminately decreasing discriminability with learned image filters
* discriminative deep model for pedestrian detection with occlusion handling, A
* Discriminative feature fusion for image classification
* Discriminative Illumination: Per-Pixel Classification of Raw Materials Based on Optimal Projections of Spectral BRDF
* Discriminative spatial saliency for image classification
* Discriminative virtual views for cross-view action recognition
* Distribution fields for tracking
* Dynamic scene understanding: The role of orientation features in space and time in scene classification
* Edge-preserving photometric stereo via depth fusion
* Efficient activity detection with max-subgraph search
* Efficient automatic 3D-reconstruction of branching neurons from EM data
* efficient branch-and-bound algorithm for optimal human pose estimation, An
* Efficient discriminative learning of parametric nearest neighbor classifiers
* Efficient inference for fully-connected CRFs with stationarity
* Efficient object detection using cascades of nearest convex model classifiers
* Efficient online structured output learning for keypoint-based object tracking
* Efficient structure detection via random consensus graph
* Efficient structured prediction for 3D indoor scene understanding
* Enhancing underwater images and videos by fusion
* Estimating the aspect layout of object categories
* Evaluation of low-level features and their combinations for complex event detection in open source videos
* Evaluation of super-voxel methods for early video processing
* Example-based 3D object reconstruction from line drawings
* Example-based cross-modal denoising
* Exemplar-based human action pose correction and tagging
* Exploiting local and global patch rarities for saliency detection
* Exploiting nonlocal spatiotemporal structure for video segmentation
* Exploiting web images for event recognition in consumer videos: A multiple source domain adaptation approach
* Face Alignment by Explicit Shape Regression
* Face detection, pose estimation, and landmark localization in the wild
* Facial expression editing in video using a temporally-smooth factorization
* Factorized Graph Matching
* Factorizing appearance using epitomic flobject analysis
* Fan Shape Model for object detection
* Fast algorithms for structured robust principal component analysis
* Fast and globally optimal single view reconstruction of curved objects
* Fast approximate k-means via cluster closures
* Fast axis estimation from a segment of rotationally symmetric object
* Fast computation of min-Hash signatures for image collections
* Fast dynamic programming for labeling problems with ordering constraints
* fast nearest neighbor search algorithm by nonlinear embedding, A
* Fast radial symmetry detection under affine transformations
* Fast recursive ensemble convolution of Haar-like features
* Fast search in Hamming space with multi-index hashing
* Feature-domain super-resolution framework for Gabor-based face and iris recognition
* Figure-ground segmentation by transferring window masks
* Finite Element based sequential Bayesian Non-Rigid Structure from Motion
* Fixed-rank representation for unsupervised visual learning
* flow model for joint action recognition and identity maintenance, A
* Foreground detection using spatiotemporal projection kernels
* FREAK: Fast Retina Keypoint
* From label fusion to correspondence fusion: A new approach to unbiased groupwise registration
* From Pictorial Structures to deformable structures
* From pixels to physics: Probabilistic color de-rendering
* game-theoretic approach to deformable shape matching, A
* General and nested Wiberg minimization
* General trajectory prior for Non-Rigid reconstruction
* Generalized Multiview Analysis: A discriminative latent space
* Generalized time warping for multi-modal alignment of human motion
* Generalizing Wiberg algorithm for rigid and nonrigid factorizations with missing components and metric constraints
* Geodesic flow kernel for unsupervised domain adaptation
* Geometric understanding of point clouds using Laplace-Beltrami operator
* Geometry Constrained Sparse Coding for Single Image Super-Resolution
* Globally consistent depth labeling of 4D light fields
* Globally optimal hand-eye calibration
* Globally optimal line clustering and vanishing point estimation in Manhattan world
* Graph cuts optimization for multi-limb human segmentation in depth maps
* Graph-based detection, segmentation and characterization of brain tumors
* Graph-guided sparse reconstruction for region tagging
* Group action induced distances for averaging and clustering Linear Dynamical Systems with applications to the analysis of dynamic scenes
* Growing a bag of systems tree for fast and accurate classification
* Hand tracking by binary quadratic programming and its application to retail activity recognition
* Hedging your bets: Optimizing accuracy-specificity trade-offs in large scale visual recognition
* Hierarchical face parsing via deep learning
* hierarchical image clustering cosegmentation framework, A
* Hierarchical matching with side information for image classification
* Higher level segmentation: Detecting and grouping of invariant repetitive patterns
* Higher order motion models and spectral clustering
* Icon scanning: Towards next generation QR codes
* Identigram/watermark removal using cross-channel correlation
* Image categorization using Fisher kernels of non-iid image models
* Image collection summarization via dictionary learning for sparse representation
* Image denoising: Can plain neural networks compete with BM3D?
* Image description with a goal: Building efficient discriminating expressions for images
* Image matching using local symmetry features
* Image search results refinement via outlier detection using deep contexts
* Image sets alignment for Video-Based Face Recognition
* image torque operator: A new tool for mid-level vision, The
* Improved facial expression recognition via uni-hyperplane classification
* Improved subspace clustering via exploitation of spatial constraints
* Improving multi-target tracking via social grouping
* Incremental gradient on the Grassmannian for online foreground and background separation in subsampled video
* Interactive object detection
* Intrinsic shape context descriptors for deformable shapes
* Inverted Multi-Index, The
* Irregular lattices for complex shape grammar facade parsing
* Isogeometric finite-elements methods and variational reconstruction tasks in vision: A perfect match
* Iterative Nearest Neighbors for classification and dimensionality reduction
* Jigsaw puzzles with pieces of unknown orientation
* Joint 2D-3D temporally consistent semantic segmentation of street scenes
* Joint motion estimation and segmentation of complex scenes with label costs and occlusion modeling
* KNN Matting
* Knock! Knock! Who is it? probabilistic person identification in TV-series
* l2, 1 Regularized correntropy for robust feature selection
* Large scale metric learning from equivalence constraints
* Large-scale image classification with trace-norm regularization
* Large-scale knowledge transfer for object localization in ImageNet
* Laser speckle photography for surface tampering detection
* Layered segmentation and optical flow estimation over time
* Learning 3D object templates by hierarchical quantization of geometry and appearance spaces
* Learning active facial patches for expression analysis
* Learning an object class representation on a continuous viewsphere
* Learning attention map from images
* learning based deformable template matching method for automatic rib centerline extraction and labeling in CT images, A
* Learning contour-fragment-based shape model with And-Or tree representation
* Learning hierarchical representations for face verification with convolutional deep belief networks
* Learning hierarchical similarity metrics
* Learning image-specific parameters for interactive segmentation
* Learning inter-related visual dictionary for object recognition
* Learning latent temporal structure for complex event detection
* Learning object class detectors from weakly annotated video
* Learning object relationships via graph-based context model
* Learning ordinal discriminative features for age estimation
* Learning rotation-aware features: From invariant priors to equivariant descriptors
* Learning shared body plans
* Learning sparse covariance patterns for natural scenes
* Learning structural element patch models with hierarchical palettes
* Learning the right model: Efficient max-margin learning in Laplacian CRFs
* Learning to localize detected objects
* Learning to segment dense cell nuclei with shape prior
* learning-based framework for depth ordering, A
* Leveraging category-level labels for instance-level image retrieval
* Leveraging stereopsis for saliency analysis
* line-structure-preserving approach to image resizing, A
* Linear discriminative image processing operator analysis
* Linear solution to scale invariant global figure ground separation
* Local Naive Bayes Nearest Neighbor for image classification
* Locality-constrained and spatially regularized coding for scene categorization
* Locally Orderless Tracking
* Low level vision via switchable Markov random fields
* Low-rank matrix recovery with structural incoherence for robust face recognition
* Making minimal solvers fast
* Manifold guided composite of Markov random fields for image modeling
* MAP-MRF inference based on extended junction tree representation
* Markov Weight Fields for face sketch synthesis
* Matrix completion by Truncated Nuclear Norm Regularization
* Max-Margin Early Event Detectors
* Maximum weight cliques with mutex constraints for video object segmentation
* Memory constrained face recognition
* Meta-class features for large-scale object categorization on a budget
* Metric learning with two-dimensional smoothness for visual analysis
* Micro Phase Shifting
* Mining actionlet ensemble for action recognition with depth cameras
* Mobile object detection through client-server based vote transfer
* Mobile product search with Bag of Hash Bits and boundary reranking
* Mode-seeking on graphs via random walks
* Model recommendation for action recognition
* Modeling and correction of multipath interference in time of flight cameras
* Modulation transfer function of patch-based stereo systems
* Monotonicity and Error Type Differentiability in Performance Measures for Target Detection and Tracking in Video
* Motion-aware noise filtering for deblurring of noisy and blurry images
* Multi view registration for novelty/background separation
* Multi-attribute spaces: Calibration for attribute fusion and similarity search
* Multi-class cosegmentation
* Multi-column deep neural networks for image classification
* Multi-feature metric learning with knowledge transfer among semantics and social tagging
* Multi-label ReliefF and F-statistic feature selections for image annotation
* Multi-Output Laplacian Dynamic Ordinal Regression for Facial Expression Recognition and Intensity Estimation
* Multi-pedestrian detection in crowded scenes: A global view
* Multi-scale dictionary for single image super-resolution
* Multi-target tracking by online learning of non-linear motion patterns and robust appearance models
* Multi-view hair capture using orientation fields
* Multi-view latent variable discriminative models for action recognition
* Multiclass pixel labeling with non-local matching constraints
* Multimodal feature fusion for robust event detection in web videos
* Multiple Clustered Instance Learning for Histopathology Cancer Image Classification, Segmentation and Clustering
* Multitarget data association with higher-order motion models
* Names and shades of color for intrinsic image estimation
* Neighborhood Repulsed Metric Learning for Kinship Verification
* new convexity measurement for 3D meshes, A
* new mirror-based extrinsic camera calibration using an orthogonality constraint, A
* non-local cost aggregation method for stereo matching, A
* Non-Negative Low Rank and Sparse Graph for Semi-Supervised Learning
* Non-sparse linear representations for visual tracking with online reservoir metric learning
* Nonlinear camera response functions and image deblurring
* Nonparametric image parsing using adaptive neighbor sets
* Nonparametric kernel estimators for image classification
* Nonparametric learning for layered segmentation of natural images
* Object retrieval and localization with spatially-constrained similarity measure and k-NN re-ranking
* Occlusion Reasoning for Object Detection Under Arbitrary Viewpoint
* Omni-range spatial contexts for visual classification
* On multiple foreground cosegmentation
* On partial least squares in head pose estimation: How to simultaneously deal with misalignment
* On SIFTs and their scales
* On template-based reconstruction from a single view: Analytical solutions and proofs of well-posedness for developable, isometric and conformal surfaces
* On the dimensionality of video bricks under varying illumination
* On the regularization of image semantics by modal expansion
* Online content-aware video condensation
* Online continuous stereo extrinsic parameter estimation
* Online incremental attribute-based zero-shot learning
* online learned CRF model for multi-target tracking, An
* Online robust image alignment via iterative convex optimization
* Optical flow in the presence of spatially-varying motion blur
* Optimal integration of photometric and geometric surface measurements using inaccurate reflectance/illumination knowledge
* optimized DBN-based mode-focussing particle filter, An
* Order determination and sparsity-regularized metric learning adaptive visual tracking
* Parameter-free/Pareto-driven procedural 3D reconstruction of buildings from ground-level sequences
* Parsing clothing in fashion photographs
* Parsing Fašade with rank-one approximation
* Part-based multiple-person tracking with partial occlusion handling
* PCCA: A new approach for distance learning from sparse pairwise constraints
* Pedestrian detection at 100 frames per second
* Per-pixel translational symmetry detection, optimization, and segmentation
* Photometric stereo for outdoor webcams
* physically-based approach to reflection separation, A
* Pose pooling kernels for sub-category recognition
* Power mean SVM for large scale visual classification
* Power SVM: Generalization with exemplar classification uncertainty
* Practical low-rank matrix approximation under robust L1-norm
* Probabilistic learning of task-specific visual attention
* Progressive graph matching: Making a move of graphs via probabilistic voting
* Progressive shape models
* QsRank: Query-sensitive hash code ranking for efficient-neighbor search
* RALF: A reinforced active learning formulation for object class recognition
* Random Cluster Model for Robust Geometric Fitting, The
* Random walks based multi-image segmentation: Quasiconvexity results and GPU-based solutions
* Randomized visual phrases for object search
* Real time robust L1 tracker using accelerated proximal gradient approach
* Real-time 6D stereo Visual Odometry with non-overlapping fields of view
* Real-time facial feature detection using conditional regression forests
* Real-time image-based 6-DOF localization in large-scale environments
* Real-time scene text localization and recognition
* Recognizing proxemics in personal photos
* Recognizing scene viewpoint using panoramic place representation
* Reconfigurable models for scene recognition
* Reconstruction of super-resolution lung 4D-CT using patch-based sparse representation
* Recovering free space of indoor scenes from a single image
* Refractive height fields from single and multiple images
* Regression Tree Fields: An efficient, non-parametric approach to image labeling problems
* regularized spectral algorithm for Hidden Markov Models with applications in computer vision, A
* Relaxed collaborative representation for pattern classification
* Revisiting uncertainty in graph cut solutions
* RGB-(D) scene labeling: Features and algorithms
* Riemannian approach for estimating orientation distribution function (ODF) images from high-angular resolution diffusion imaging (HARD
* Robust and discriminative distance for Multi-Instance Learning
* Robust Boltzmann Machines for recognition and denoising
* Robust camera self-calibration from monocular images of Manhattan worlds
* Robust late fusion with rank minimization
* Robust Maximum Likelihood estimation by sparse bundle adjustment using the L1 norm
* Robust Non-negative Graph Embedding: Towards noisy data, unreliable graphs, and noisy labels
* Robust non-rigid registration of 2D and 3D graphs
* Robust nonrigid ICP using outlier-sparsity regularization
* Robust object tracking via sparsity-based collaborative model
* Robust photometric stereo using sparse regression
* Robust plane-based structure from motion
* Robust stereo with flash and no-flash image pairs
* Robust tracking via weakly supervised ranking SVM
* Robust visual domain adaptation with low-rank reconstruction
* Robust visual tracking using autoregressive hidden Markov Model
* Robust Visual Tracking Via Multi-Task Sparse Learning
* role of image understanding in contour detection, The
* Rolling shutter bundle adjustment
* Saliency filters: Contrast based filtering for salient region detection
* Saliency-guided integration of multiple scans
* Salient object detection for searched web images via global saliency
* Sasaki metrics for analysis of longitudinal data on manifolds
* Scalable action recognition with a subspace forest
* Scalable k-NN graph construction for visual descriptors
* scale of edges, The
* Scale resilient, rotation invariant articulated object matching
* Scene warping: Layer-based stereoscopic image resizing
* Schematic surface reconstruction
* Schr÷dinger distance transform (SDT) for point-sets and curves, The
* See all by looking at a few: Sparse modeling for finding representative objects
* Seeded watershed cut uncertainty estimators for guided interactive segmentation
* Seeing double without confusion: Structure-from-motion in highly ambiguous scenes
* Seeing through the blur
* Segmentation using superpixels: A bipartite graph partitioning approach
* Semantic segmentation using regions and parts
* Semantic structure from motion with points, regions, and objects
* Semi-coupled dictionary learning with applications to image super-resolution and photo-sketch synthesis
* Shape Boltzmann Machine: A Strong Model of Object Shape, The
* Shape, albedo, and illumination from a single image of an unknown object
* Sharing features in multi-class boosting via group sparsity
* Shrink boost for selecting multi-LBP histogram features in object detection
* Sign Language Recognition using Sequential Pattern Trees
* Simple Prior-Free Method for Non-rigid Structure-from-Motion Factorization, A
* Single image 3D human pose estimation from noisy observations
* Single image multimaterial estimation
* Small sample scene categorization from perceptual relations
* Social behavior recognition in continuous video
* Social interactions: A first-person perspective
* Social roles in hierarchical models for human activity recognition
* Sparse Bayesian multi-task learning for predicting cognitive outcomes from neuroimaging measures in Alzheimer's disease
* Sparse kernel approximations for efficient classification and detection
* Sparse representation for blind image quality assessment
* Sparse representation for face recognition based on discriminative low-rank dictionary learning
* Spatial bias in multi-atlas based segmentation
* Spatio-temporal motion tracking with unsynchronized cameras
* Spherical hashing
* Steerable part models
* Stream-based joint exploration-exploitation active learning
* Street-to-shop: Cross-scenario clothing retrieval via parts alignment and auxiliary set
* Structure and motion from scene registration
* Structured Local Predictors for image labelling
* study on human age estimation under facial expression changes, A
* Submodular dictionary learning for sparse coding
* Substructure and boundary modeling for continuous action recognition
* Sum-product networks for modeling activities with stochastic structure
* SUN attribute database: Discovering, annotating, and recognizing scene attributes
* Superedge grouping for object localization by combining appearance and shape information
* Supervised hashing with kernels
* Surface Regions of Interest for Viewpoint Selection
* SURFing the point clouds: Selective 3D spatial pyramids for category-level object recognition
* Synthesizing oil painting surface geometry from a single photograph
* Teaching 3D geometry to deformable part models
* theory of multi-layer flat refractive geometry, A
* Three things everyone should know to improve object retrieval
* tiered move-making algorithm for general pairwise MRFs, A
* Top-down and bottom-up cues for scene text recognition
* Top-Down Visual Saliency via Joint CRF and Dictionary Learning
* Towards compact topical descriptors
* Towards good practice in large-scale learning for image classification
* Tracking the articulated motion of two strongly interacting hands
* Transfer re-identification: From person to set-based verification
* Transferring a generic pedestrian detector towards specific scenes
* Twisted window search for efficient shape localization
* two-stage approach to blind spatially-varying motion deblurring, A
* Understanding and predicting importance in images
* Understanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents
* unified approach to salient object detection via low rank matrix recovery, A
* unified framework for event summarization and rare event detection, A
* unifying resolution-independent formulation for early vision, A
* Unseen) event recognition via semantic compositionality
* Unsupervised co-segmentation through region matching
* Unsupervised feature learning framework for no-reference image quality assessment
* Unsupervised incremental learning for improved object detection in a video
* Unsupervised learning of translation invariant occlusive components
* Unsupervised metric fusion by cross diffusion
* Unsupervised Object Class Discovery via Saliency-Guided Multiple Class Learning
* use of on-line co-training to reduce the training set size in pattern recognition methods: Application to left ventricle segmentation in ultrasound, The
* Vector array based Multi-View Face Detection with compound exemplars
* Video anomaly detection based on local statistical aggregates
* Video from nearly still: An application to low frame-rate gait recognition
* Video segmentation by tracing discontinuities in a trajectory embedding
* Video stabilization with a depth camera
* Visibility Based Preconditioning for bundle adjustment
* Visual stem mapping and Geometric Tense coding for Augmented Visual Vocabulary
* Visual Tracking Via Adaptive Structural Local Sparse Appearance Model
* Vitruvian manifold: Inferring dense correspondences for one-shot human pose estimation, The
* We are not contortionists: Coupled adaptive learning for head and body orientation estimation in surveillance video
* Weak attributes for large-scale image retrieval
* Weakly supervised sparse coding with geometric consistency pooling
* Weakly supervised structured output learning for semantic segmentation
* Weighted Color and Texture Sample Selection for Image Matting
* What are good parts for hair shape modeling?
* What are we looking for: Towards statistical modeling of saccadic eye movements and visual saliency
* What has my classifier learned? Visualizing the classification rules of bag-of-feature model by support region detection
* What is optimized in tight convex relaxations for multi-label problems?
* WhittleSearch: Image search with relative attribute feedback
467 for CVPR12

CVPR13 * *CVPR
* 3D Pictorial Structures for Multiple View Articulated Pose Estimation
* 3D Visual Proxemics: Recognizing Human Interactions in 3D from a Single Image
* 3D-Based Reasoning with Blocks, Support, and Stability
* 3D-R Transform on Spatio-temporal Interest Points for Action Recognition
* Accurate and Robust Registration of Nonrigid Surface Using Hierarchical Statistical Shape Model
* Accurate Localization of 3D Objects from RGB-D Data Using Segmentation Hypotheses
* Action Recognition by Hierarchical Sequence Summarization
* Active Contours with Group Similarity
* Adaptive Active Learning for Image Classification
* Adaptive Compressed Tomography Sensing
* Adding Unlabeled Samples to Categories by Learned Attributes
* Adherent Raindrop Detection and Removal in Video
* All About VLAD
* Alternating Decision Forests
* Analytic Bilinear Appearance Subspace Construction for Modeling Image Irradiance under Natural Illumination and Non-Lambertian Reflectance
* Analyzing Semantic Segmentation Using Hybrid Human-Machine CRFs
* Approach to Pose-Based Action Recognition, An
* Area Preserving Brain Mapping
* Articulated and Restricted Motion Subspaces and Their Signatures
* Articulated Pose Estimation Using Discriminative Armlet Classifiers
* As-Projective-As-Possible Image Stitching with Moving DLT
* Attribute-Based Detection of Unfamiliar Classes with Humans in the Loop
* Augmenting Bag-of-Words: Data-Driven Discovery of Temporal and Structural Information for Activity Recognition
* Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling
* Auxiliary Cuts for General Classes of Higher Order Functionals
* Axially Symmetric 3D Pots Configuration System Using Axis of Symmetry and Break Curve
* Background Modeling Based on Bidirectional Analysis
* Bayesian Approach to Multimodal Visual Dictionary Learning, A
* Bayesian Depth-from-Defocus with Shading Constraints
* Bayesian Grammar Learning for Inverse Procedural Modeling
* Beta Process Joint Dictionary Learning for Coupled Feature Spaces with Application to Single Image Super-Resolution
* Better Exploiting Motion for Better Action Recognition
* Beyond Physical Connections: Tree Models in Human Pose Estimation
* Beyond Point Clouds: Scene Understanding by Reasoning Geometry and Physics
* BFO Meets HOG: Feature Extraction Based on Histograms of Oriented p.d.f. Gradients for Image Classification
* Bilinear Programming for Human Activity Recognition with Unknown MRF Graphs
* Binary Code Ranking with Weighted Hamming Distance
* Blessing of Dimensionality: High-Dimensional Feature and Its Efficient Compression for Face Verification
* Blind Deconvolution of Widefield Fluorescence Microscopic Data by Regularization of the Optical Transfer Function (OTF)
* Block and Group Regularized Sparse Modeling for Dictionary Learning
* Blocks That Shout: Distinctive Parts for Scene Classification
* Blur Processing Using Double Discrete Wavelet Transform
* Boosting Binary Keypoint Descriptors
* Bottom-Up Segmentation for Top-Down Detection
* Boundary Cues for 3D Object Shape Recovery
* Boundary Detection Benchmarking: Beyond F-Measures
* BRDF Slices: Accurate Adaptive Anisotropic Appearance Acquisition
* Bringing Semantics into Focus Using Visual Abstraction
* Calibrating Photometric Stereo by Holistic Reflectance Symmetry Analysis
* Can a Fully Unconstrained Imaging Model Be Applied Effectively to Central Cameras?
* Capturing Complex Spatio-temporal Relations among Facial Muscles for Facial Expression Recognition
* Capturing Layers in Image Collections with Componential Models: From the Layered Epitome to the Componential Counting Grid
* Cartesian K-Means
* Category Modeling from Just a Single Labeling: Use Depth Information to Guide the Learning of 2D Models
* City-Scale Change Detection in Cadastral 3D Models Using Images
* CLAM: Coupled Localization and Mapping with Efficient Outlier Handling
* Class Generative Models Based on Feature Regression for Pose Estimation of Object Categories
* Classification of Tumor Histology via Morphometric Context
* Cloud Motion as a Calibration Cue
* Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems, A
* Complex Event Detection via Multi-source Video Attributes
* Composite Statistical Inference for Semantic Segmentation
* Compressed Hashing
* Compressible Motion Fields
* Computationally Efficient Regression on a Dependency Graph for Human Pose Estimation
* Computing Diffeomorphic Paths for Large Motion Interpolation
* Consensus of k-NNs for Robust Neighborhood Selection on Graph-Based Manifolds
* Constrained Clustering and Its Application to Face Clustering in Videos
* Constraints as Features
* Context-Aware Modeling and Recognition of Activities in Video
* Continuous Inference in Graphical Models with Polynomial Energies
* Convex Regularize for Reducing Color Artifact in Color Image Recovery, A
* Correlation Filters for Object Alignment
* Correspondence-Less Non-rigid Registration of Triangular Surface Meshes
* Cross-View Action Recognition via a Continuous Virtual Path
* Cross-View Image Geolocalization
* Crossing the Line: Crowd Counting by Integer Programming with Local Features
* Cumulative Attribute Space for Age and Crowd Density Estimation
* Decoding Children's Social Behavior
* Decoding, Calibration and Rectification for Lenselet-Based Plenoptic Cameras
* Deep Convolutional Network Cascade for Facial Point Detection
* Deep Learning Shape Priors for Object Segmentation
* Deformable Graph Matching
* Deformable Spatial Pyramid Matching for Fast Dense Correspondences
* Dense 3D Reconstruction from Severely Blurred Images Using a Single Moving Camera
* Dense Non-rigid Point-Matching Using Random Projections
* Dense Object Reconstruction with Semantic Priors
* Dense Reconstruction Using 3D Object Shape Priors
* Dense Segmentation-Aware Descriptors
* Dense Variational Reconstruction of Non-rigid Surfaces from Monocular Video
* Depth Acquisition from Density Modulated Binary Patterns
* Depth Super Resolution by Rigid Body Self-Similarity in 3D
* Designing Category-Level Attributes for Discriminative Visual Recognition
* Detecting and Aligning Faces by Image Retrieval
* Detecting and Naming Actors in Movies Using Generative Appearance Models
* Detecting Changes in 3D Structure of a Scene from Multi-view Images Captured by a Vehicle-Mounted Camera
* Detecting Pulse from Head Motions in Video
* Detection Evolution with Multi-order Contextual Co-occurrence
* Detection of Manipulation Action Consequences (MAC)
* Detection- and Trajectory-Level Exclusion in Multiple Object Tracking
* Determining Motion Directly from Normal Flows Upon the Use of a Spherical Eye Platform
* Dictionary Learning from Ambiguously Labeled Data
* Diffusion Processes for Retrieval Revisited
* Discovering the Structure of a Planar Mirror System from Multiple Observations of a Single Point
* Discrete MRF Inference of Marginal Densities for Non-uniformly Discretized Variable Space
* Discriminative Brain Effective Connectivity Analysis for Alzheimer's Disease: A Kernel Learning Approach upon Sparse Gaussian Bayesian Network
* Discriminative Color Descriptors
* Discriminative Non-blind Deblurring
* Discriminative Re-ranking of Diverse Segmentations
* Discriminative Segment Annotation in Weakly Labeled Video
* Discriminative Sub-categorization
* Discriminative Subspace Clustering
* Discriminatively Trained And-Or Tree Models for Object Detection
* Divide-and-Conquer Method for Scalable Low-Rank Latent Matrix Pursuit, A
* Dynamic Scene Classification: Learning Motion Descriptors with Slow Features Analysis
* Efficient 2D-to-3D Correspondence Filtering for Scalable 3D Object Recognition
* Efficient 3D Endfiring TRUS Prostate Segmentation with Globally Optimized Rotational Symmetry
* Efficient Color Boundary Detection with Color-Opponent Mechanisms
* Efficient Computation of Shortest Path-Concavity for 3D Meshes
* Efficient Detector Adaptation for Object Detection in a Video
* Efficient Large-Scale Structured Learning
* Efficient Maximum Appearance Search for Large-Scale Object Detection
* Efficient Object Detection and Segmentation for Fine-Grained Recognition
* Enriching Texture Analysis with Semantic Data
* Ensemble Learning for Confidence Measures in Stereo Vision
* Ensemble Video Object Cut in Highly Dynamic Scenes
* Episolar Constraint: Monocular Shape from Shadow Correspondence, The
* Evaluation of Color STIPs for Human Action Recognition
* Event Recognition in Videos by Learning from Heterogeneous Web Sources
* Event Retrieval in Large Video Collections with Circulant Temporal Encoding
* Exemplar-Based Face Parsing
* Expanded Parts Model for Human Attribute and Action Recognition in Still Images
* Explicit Occlusion Modeling for 3D Object Class Representations
* Exploiting the Power of Stereo Confidences
* Exploring Compositional High Order Pattern Potentials for Structured Output Learning
* Exploring Implicit Image Statistics for Visual Representativeness Modeling
* Exploring Weak Stabilization for Motion Feature Extraction
* Expressive Visual Text-to-Speech Using Active Appearance Models
* Face Recognition in Movie Trailers via Mean Sequence Sparse Representation-Based Classification
* Facial Feature Tracking Under Varying Facial Expressions and Face Poses Based on Restricted Boltzmann Machines
* Fast Approximate AIB Algorithm for Distributional Word Clustering, A
* Fast Convolutional Sparse Coding
* Fast Energy Minimization Using Learned State Filters
* Fast Image Super-Resolution Based on In-Place Example Regression
* Fast Multiple-Part Based Object Detection Using KD-Ferns
* Fast Object Detection with Entropy-Driven Evaluation
* Fast Patch-Based Denoising Using Approximated Patch Geodesic Paths
* Fast Rigid Motion Segmentation via Incrementally-Complex Local Models
* Fast Semidefinite Approach to Solving Binary Quadratic Problems, A
* Fast Trust Region for Segmentation
* Fast, Accurate Detection of 100,000 Object Classes on a Single Machine
* FasT-Match: Fast Affine Template Matching
* Finding Group Interactions in Social Clutter
* Finding Things: Image Parsing with Regions and Per-Exemplar Detectors
* Fine-Grained Crowdsourcing for Fine-Grained Recognition
* First-Person Activity Recognition: What Are They Doing to Me?
* Five Shades of Grey for Fast and Reliable Camera Pose Estimation
* FrameBreak: Dramatic Image Extrapolation by Guided Shift-Maps
* From Local Similarity to Global Coding: An Application to Image Classification
* From N to N+1: Multiclass Transfer Incremental Learning
* Fully-Connected CRFs with Non-Parametric Pairwise Potential
* Fully-Connected Layered Model of Foreground and Background Flow, A
* Fusing Depth from Defocus and Stereo with Coded Apertures
* Fusing Robust Face Region Descriptors via Multiple Metric Learning for Face Recognition in the Wild
* Gauging Association Patterns of Chromosome Territories via Chromatic Median
* Generalized Domain-Adaptive Dictionaries
* Generalized Laplacian Distance and Its Applications for Visual Matching, The
* Genetic Algorithm-Based Solver for Very Large Jigsaw Puzzles, A
* GeoF: Geodesic Forests for Learning Coupled Predictors
* Geometric Context from Videos
* Global Approach for the Detection of Vanishing Points and Mutually Orthogonal Vanishing Directions, A
* Globally Consistent Multi-label Assignment on the Ray Space of 4D Light Fields
* Graph Matching with Anchor Nodes: A Learning Approach
* Graph Transduction Learning with Connectivity Constraints with Application to Multiple Foreground Cosegmentation
* Graph-Based Discriminative Learning for Location Recognition
* Graph-Based Optimization with Tubularity Markov Tree for 3D Vessel Segmentation
* Graph-Laplacian PCA: Closed-Form Solution and Robustness
* GRASP Recurring Patterns from a Single View
* Groupwise Registration via Graph Shrinkage on the Image Manifold
* Hallucinated Humans as the Hidden Context for Labeling 3D Scenes
* Handling Noise in Single Image Deblurring Using Directional Filters
* Harry Potter's Marauder's Map: Localizing and Tracking Multiple Persons-of-Interest by Nonnegative Discretization
* Harvesting Mid-level Visual Concepts from Large-Scale Internet Images
* Hash Bit Selection: A Unified Solution for Selection Problems in Hashing
* HDR Deghosting: How to Deal with Saturation?
* Heterogeneous Visual Features Fusion via Sparse Multimodal Machine
* Hierarchical Saliency Detection
* Hierarchical Video Representation with Trajectory Binary Partition Tree
* Higher-Order CRF Model for Road Network Extraction, A
* Histograms of Sparse Codes for Object Detection
* Hollywood 3D: Recognizing Actions in 3D Natural Scenes
* HON4D: Histogram of Oriented 4D Normals for Activity Recognition from Depth Sequences
* Human Pose Estimation Using a Joint Pixel-wise and Part-wise Formulation
* Human Pose Estimation Using Body Parts Dependent Joint Regressors
* Hyperbolic Harmonic Mapping for Constrained Brain Surface Registration
* Hypergraphs for Joint Multi-view Reconstruction and Multi-object Tracking
* Illumination Estimation Based on Bilayer Sparse Coding
* Image Matting with Local and Nonlocal Smooth Priors
* Image Segmentation by Cascaded Region Agglomeration
* Image Tag Completion via Image-Specific and Tag-Specific Linear Sparse Reconstructions
* Image Understanding from Experts' Eyes by Modeling Perceptual Skill of Diagnostic Reasoning Processes
* Improved Image Set Classification via Joint Sparse Approximated Nearest Subspaces
* Improving an Object Detector and Extracting Regions Using Superpixels
* Improving Image Matting Using Comprehensive Sampling Sets
* Improving the Visual Comprehension of Point Sets
* In Defense of 3D-Label Stereo
* In Defense of Sparsity Based Face Recognition
* Incorporating Structural Alternatives and Sharing into Hierarchy for Multiclass Object Recognition and Detection
* Incorporating User Interaction and Topological Constraints within Contour Completion via Discrete Calculus
* Inductive Hashing on Manifolds
* Information Consensus for Distributed Multi-target Tracking
* Integrating Grammar and Segmentation for Human Pose Estimation
* Intrinsic Characterization of Dynamic Surfaces
* Intrinsic Scene Properties from a Single RGB-D Image
* Is There a Procedural Logic to Architecture?
* It's Not Polite to Point: Describing People with Uncertain Attributes
* Iterated L1 Algorithm for Non-smooth Non-convex Optimization in Computer Vision, An
* Joint 3D Scene Reconstruction and Class Segmentation
* Joint Detection, Tracking and Mapping by Semantic Bundle Adjustment
* Joint Geodesic Upsampling of Depth Images
* Joint Model for 2D and 3D Pose Estimation from a Single Image, A
* Joint Sparsity-Based Representation and Analysis of Unconstrained Activities
* Joint Spectral Correspondence for Disparate Image Matching
* Jointly Aligning and Segmenting Multiple Web Photo Streams for the Inference of Collective Photo Storylines
* K-Means Hashing: An Affinity-Preserving Quantization Method for Learning Binary Compact Codes
* Kernel Learning for Extrinsic Classification of Manifold Features
* Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices
* Kernel Null Space Methods for Novelty Detection
* Keypoints from Symmetries by Wave Propagation
* Label Propagation from ImageNet to 3D Point Clouds
* Label-Embedding for Attribute-Based Classification
* Large Displacement Optical Flow from Nearest Neighbor Fields
* Large-Scale Video Summarization Using Web-Image Priors
* Layer Depth Denoising and Completion for Structured-Light RGB-D Cameras
* Lazy Man's Approach to Benchmarking: Semisupervised Classifier Evaluation and Recalibration, A
* Learning a Manifold as an Atlas
* Learning and Calibrating Per-Location Classifiers for Visual Place Recognition
* Learning by Associating Ambiguously Labeled Images
* Learning Class-to-Image Distance with Object Matchings
* Learning Collections of Part Models for Object Recognition
* Learning Compact Binary Codes for Visual Tracking
* Learning Cross-Domain Information Transfer for Location Recognition and Clustering
* Learning Discriminative Illumination and Filters for Raw Material Classification with Optimal Projections of Bidirectional Texture Functions
* Learning for Structured Prediction Using Approximate Subgradient Descent with Working Sets
* Learning Locally-Adaptive Decision Functions for Person Verification
* Learning Multiple Non-linear Sub-spaces Using K-RBMs
* Learning Separable Filters
* Learning Structured Hough Voting for Joint Object Detection and Occlusion Reasoning
* Learning Structured Low-Rank Representations for Image Classification
* Learning SURF Cascade for Fast and Accurate Object Detection
* Learning the Change for Automatic Image Cropping
* Learning to Detect Partially Overlapping Instances
* Learning to Estimate and Remove Non-uniform Image Blur
* Learning Video Saliency from Human Gaze Using Candidate Selection
* Learning without Human Scores for Blind Image Quality Assessment
* Least Soft-Threshold Squares Tracking
* Leveraging Structure from Motion to Learn Discriminative Codebooks for Scalable Landmark Classification
* Light Field Distortion Feature for Transparent Object Recognition
* Linear Approach to Matching Cuboids in RGBD Images, A
* Local Fisher Discriminant Analysis for Pedestrian Re-identification
* Locally Aligned Feature Transforms across Views
* Long-Term Occupancy Analysis Using Graph-Based Optimisation in Thermal Imagery
* Looking Beyond the Image: Unsupervised Learning for Object Saliency and Detection
* Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization
* LP-Norm IDF for Large Scale Image Search
* Machine Learning Approach for Non-blind Image Deconvolution, A
* Manhattan Junction Catalogue for Spatial Reasoning of Indoor Scenes
* Manhattan Scene Understanding via XSlit Imaging
* Max-Margin Riffled Independence Model for Image Tag Ranking, A
* Maximum Cohesive Grid of Superpixels for Fast Object Localization
* Measures and Meta-Measures for the Supervised Evaluation of Image Segmentation
* Measuring Crowd Collectiveness
* Megastereo: Constructing High-Resolution Stereo Panoramas
* Mesh Based Semantic Modelling for Indoor and Outdoor Scenes
* Minimum Error Vanishing Point Detection Approach for Uncalibrated Monocular Images of Man-Made Environments, A
* Minimum Uncertainty Gap for Robust Visual Tracking
* Mirror Surface Reconstruction from a Single Image
* MKPLS: Manifold Kernel Partial Least Squares for Lipreading and Speaker Identification
* MODEC: Multimodal Decomposable Models for Human Pose Estimation
* Modeling Actions through State Changes
* Modeling Mutual Visibility Relationship in Pedestrian Detection
* Monocular Template-Based 3D Reconstruction of Extensible Surfaces with Local Linear Elasticity
* Motion Estimation for Self-Driving Cars with a Generalized Camera
* Motionlets: Mid-level 3D Parts for Human Motion Recognition
* Multi-agent Event Detection: Localization and Role Assignment
* Multi-attribute Queries: To Merge or Not to Merge?
* Multi-class Video Co-segmentation with a Generative Multi-video Model
* Multi-image Blind Deblurring Using a Coupled Adaptive Sparse Prior
* Multi-level Discriminative Dictionary Learning towards Hierarchical Visual Categorization
* Multi-resolution Shape Analysis via Non-Euclidean Wavelets: Applications to Mesh Segmentation and Surface Alignment Problems
* Multi-scale Curve Detection on Surfaces
* Multi-source Multi-scale Counting in Extremely Dense Crowd Images
* Multi-target Tracking by Lagrangian Relaxation to Min-cost Network Flow
* Multi-target Tracking by Rank-1 Tensor Approximation
* Multi-task Sparse Learning with Beta Process Prior for Action Recognition
* Multi-view Photometric Stereo with Spatially Varying Isotropic Materials
* Multipath Sparse Coding Using Hierarchical Matching Pursuit
* New Model and Simple Algorithms for Multi-label Mumford-Shah Problems, A
* New Perspective on Uncalibrated Photometric Stereo, A
* Non-parametric Filtering for Geometric Detail Extraction and Material Representation
* Non-parametric Framework for Document Bleed-through Removal, A
* Non-rigid Structure from Motion with Diffusion Maps Prior
* Non-uniform Motion Deblurring for Bilayer Scenes
* Nonlinearly Constrained MRFs: Exploring the Intrinsic Dimensions of Higher-Order Cliques
* Nonparametric Scene Parsing with Adaptive Feature Relevance and Semantic Context
* Object-Centric Anomaly Detection by Attribute-Based Reasoning
* Occlusion Patterns for Object Class Detection
* On a Link Between Kernel Mean Maps and Fraunhofer Diffraction, with an Application to Super-Resolution Beyond the Diffraction Limit
* Online Dominant and Anomalous Behavior Detection in Videos
* Online Object Tracking: A Benchmark
* Online Robust Dictionary Learning
* Optical Flow Estimation Using Laplacian Mesh Energy
* Optimal Geometric Fitting under the Truncated L2-Norm
* Optimized Pedestrian Detection for Multiple and Occluded People
* Optimized Product Quantization for Approximate Nearest Neighbor Search
* Optimizing 1-Nearest Prototype Classifiers
* Part Discovery from Partial Correspondence
* Part-Based Visual Tracking with Online Latent Structural Learning
* Patch Match Filter: Efficient Edge-Aware Filtering Meets Randomized Search for Fast Correspondence Field Estimation
* Pattern-Driven Colorization of 3D Surfaces
* PDM-ENLOR: Learning Ensemble of Local PDM-Based Regressions
* Pedestrian Detection with Unsupervised Multi-stage Feature Learning
* Perceptual Organization and Recognition of Indoor Scenes from RGB-D Images
* Photometric Ambient Occlusion
* Physically Plausible 3D Scene Tracking: The Single Actor Hypothesis
* PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures with Spatial Priors
* Pixel-Level Hand Detection in Ego-centric Videos
* Plane-Based Content Preserving Warps for Video Stabilization
* POOF: Part-Based One-vs.-One Features for Fine-Grained Categorization, Face Verification, and Attribute Estimation
* Pose from Flow and Flow from Pose
* Poselet Conditioned Pictorial Structures
* Poselet Key-Framing: A Model for Human Activity Recognition
* Practical Rank-Constrained Eight-Point Algorithm for Fundamental Matrix Estimation, A
* Principal Observation Ray Calibration for Tiled-Lens-Array Integral Imaging Display
* Principled Deep Random Field Model for Image Segmentation, A
* Probabilistic Elastic Matching for Pose Variant Face Verification
* Probabilistic Graphlet Cut: Exploiting Spatial Structure Cue for Weakly Supervised Image Segmentation
* Probabilistic Label Trees for Efficient Large Scale Image Classification
* Procrustean Normal Distribution for Non-Rigid Structure from Motion
* Prostate Segmentation in CT Images via Spatial-Constrained Transductive Lasso
* Query Adaptive Similarity for Large Scale Object Retrieval
* Radial Distortion Self-Calibration
* Real-Time Model-Based Rigid Object Pose Estimation and Tracking Combining Dense and Sparse Visual Cues
* Real-Time No-Reference Image Quality Assessment Based on Filter Learning
* Recognize Human Activities from Partially Observed Videos
* Recognizing Activities via Bag of Words for Attribute Dynamics
* Reconstructing Gas Flows Using Light-Path Approximation
* Reconstructing Loopy Curvilinear Structures Using Integer Programming
* Recovering Line-Networks in Images by Junction-Point Processes
* Recovering Stereo Pairs from Anaglyphs
* Relative Hidden Markov Models for Evaluating Motion Skill
* Relative Volume Constraints for Single View 3D Reconstruction
* Representing and Discovering Adversarial Team Behaviors Using Player Roles
* Representing Videos Using Mid-level Discriminative Patches
* Revisiting Depth Layers from Occlusions
* Robust Canonical Time Warping for the Alignment of Grossly Corrupted Sequences
* Robust Discriminative Response Map Fitting with Constrained Local Models
* Robust Estimation of Nonrigid Transformation for Point Set Registration
* Robust Feature Matching with Alternate Hough and Inverted Hough Transforms
* Robust Monocular Epipolar Flow Estimation
* Robust Multi-resolution Pedestrian Detection in Traffic Scenes
* Robust Object Co-detection
* Robust Real-Time Tracking of Multiple Objects by Volumetric Mass Densities
* Robust Region Grouping via Internal Patch Statistics
* Rolling Riemannian Manifolds to Solve the Multi-class Classification Problem
* Rolling Shutter Camera Calibration
* Rotation, Scaling and Deformation Invariant Scattering for Texture Discrimination
* Saliency Aggregation: A Data-Driven Approach
* Saliency Detection via Graph-Based Manifold Ranking
* Salient Object Detection: A Discriminative Regional Feature Integration Approach C
* Sample-Specific Late Fusion for Visual Category Recognition
* Sampling Strategies for Real-Time Action Recognition
* Scalable Sparse Subspace Clustering
* SCaLE: Supervised and Cascaded Laplacian Eigenmaps for Visual Object Recognition Based on Nearest Neighbors
* SCALPEL: Segmentation Cascades with Localized Priors and Efficient Learning
* Scene Coordinate Regression Forests for Camera Relocalization in RGB-D Images
* Scene Parsing by Integrating Function, Geometry and Appearance Models
* Scene Text Recognition Using Part-Based Tree-Structured Character Detection
* Seeking the Strongest Rigid Detector
* Segment-Tree Based Cost Aggregation for Stereo Matching
* Selective Transfer Machine for Personalized Facial Action Unit Detection
* Self-Paced Learning for Long-Term Tracking
* Semi-supervised Domain Adaptation with Instance Constraints
* Semi-supervised Learning of Feature Hierarchies for Object Detection in a Video
* Semi-supervised Learning with Constraints for Person Identification in Multimedia Data
* Semi-supervised Node Splitting for Random Forest Construction
* Sensing and Recognizing Surface Textures Using a GelSight Sensor
* Sentence Is Worth a Thousand Pixels, A
* Separable Dictionary Learning
* Separating Signal from Noise Using Patch Recurrence across Scales
* Shading-Based Shape Refinement of RGB-D Images
* Shape from Silhouette Probability Maps: Reconstruction of Thin Objects in the Presence of Silhouette Extraction and Calibration Error
* Simultaneous Active Learning of Classifiers: Attributes via Relative Feedback
* Simultaneous Super-Resolution of Depth and Images Using a Single Camera
* Single Image Calibration of Multi-axial Imaging Systems
* Single-Pedestrian Detection Aided by Multi-pedestrian Detection
* Single-Sample Face Recognition with Image Corruption and Misalignment via Sparse Illumination Transfer
* Sketch Tokens: A Learned Mid-level Representation for Contour and Object Detection
* SLAM++: Simultaneous Localisation and Mapping at the Level of Objects
* Social Role Discovery in Human Events
* Sparse Output Coding for Large-Scale Visual Recognition
* Sparse Quantization for Patch Description
* Sparse Subspace Denoising for Image Manifolds
* Spatial Inference Machines
* Spatio-temporal Depth Cuboid Similarity Feature for Activity Recognition Using Depth Camera
* Spatiotemporal Deformable Part Models for Action Detection
* Spectral Modeling and Relighting of Reflective-Fluorescent Scenes
* Specular Reflection Separation Using Dark Channel Prior
* Statistical Model for Recreational Trails in Aerial Images, A
* Statistical Textural Distinctiveness for Salient Region Detection in Natural Images
* Stochastic Deconvolution
* Story-Driven Summarization for Egocentric Video
* Structure Preserving Object Tracking
* Structured Face Hallucination
* Studying Relationships between Human Gaze, Description, and Computer Vision
* Subcategory-Aware Object Classification
* Submodular Salient Region Detection
* Subspace Interpolation via Dictionary Learning for Unsupervised Domain Adaptation
* Supervised Descent Method and Its Applications to Face Alignment
* Supervised Kernel Descriptors for Visual Recognition
* Supervised Semantic Gradient Extraction Using Linear-Time Optimization
* SVM-Minus Similarity Score for Video Face Recognition, The
* SWIGS: A Swift Guided Sampling Method
* Tag Taxonomy Aware Dictionary Learning for Region Tagging
* Template-Based Isometric Deformable 3D Reconstruction with Sampling-Based Focal Length Self-Calibration
* Templateless Quasi-rigid Shape Modeling with Implicit Loop-Closure
* Tensor-Based High-Order Semantic Relation Transfer for Semantic Scene Segmentation
* Tensor-Based Human Body Modeling
* Texture Enhanced Image Denoising via Gradient Histogram Preservation
* Theory of Refractive Photo-Light-Path Triangulation, A
* Thousand Frames in Just a Few Words: Lingual Description of Videos through Latent Topics and Sparse Object Stitching, A
* Three-Dimensional Bilateral Symmetry Plane Estimation in the Phase Domain
* Top-Down Segmentation of Non-rigid Visual Objects Using Derivative-Based Search on Sparse Manifolds
* Topical Video Object Discovery from Key Frames by Modeling Word Co-occurrence Prior
* Towards Contactless, Low-Cost and Accurate 3D Fingerprint Identification
* Towards Efficient and Exact MAP-Inference for Large Scale Discrete Computer Vision Problems via Combinatorial Optimization
* Towards Fast and Accurate Segmentation
* Towards Pose Robust Face Recognition
* Tracking Human Pose by Tracking Symmetric Parts
* Tracking People and Their Objects
* Tracking Sports Players with Context-Conditioned Motion Models
* Transfer Sparse Coding for Robust Image Representation
* Uncalibrated Photometric Stereo for Unknown Isotropic Reflectances
* Unconstrained Monocular 3D Human Pose Estimation by Action Detection and Cross-Modality Regression Forest
* Understanding Bayesian Rooms Using Composite 3D Object Models
* Understanding Indoor Scenes Using 3D Geometric Phrases
* Underwater Camera Calibration Using Wavelength Triangulation
* Universality of the Local Marginal Polytope
* Unnatural L0 Sparse Representation for Natural Image Deblurring
* Unsupervised Joint Object Discovery and Segmentation in Internet Images
* Unsupervised Salience Learning for Person Re-identification
* Vantage Feature Frames for Fine-Grained Categorization
* Variational Structure of Disparity and Regularization of 4D Light Fields, The
* Video Editing with Temporal, Spatial and Appearance Consistency
* Video Enhancement of People Wearing Polarized Glasses: Darkening Reversal and Reflection Reduction
* Video Object Segmentation through Spatially Accurate and Temporally Dense Extraction of Primary Object Regions
* Video Representation Using Temporal Superpixels, A
* Visual Place Recognition with Repetitive Structures
* Visual Tracking via Locality Sensitive Histograms
* Voxel Cloud Connectivity Segmentation: Supervoxels for Point Clouds
* Watching Unlabeled Video Helps Learn New Human Actions from Very Few Labeled Snapshots
* Weakly Supervised Learning for Attribute Localization in Outdoor Scenes
* Weakly Supervised Learning of Mid-Level Features with Beta-Bernoulli Process Restricted Boltzmann Machines
* Weakly-Supervised Dual Clustering for Image Semantic Segmentation
* What Makes a Patch Distinct?
* What Object Motion Reveals about Shape with Unknown BRDF and Lighting
* What's in a Name? First Names as Facial Attributes
* Whitened Expectation Propagation: Non-Lambertian Shape from Shading and Shadow
* Wide-Baseline Hair Capture Using Strand-Based Refinement
* Winding Number for Region-Boundary Consistent Salient Contour Extraction
471 for CVPR13

CVPR14 * *CVPR
* 100+ Times Faster Weighted Median Filter (WMF)
* 2D Human Pose Estimation: New Benchmark and State of the Art Analysis
* 3D Modeling from Wide Baseline Range Scans Using Contour Coherence
* 3D Pictorial Structures for Multiple Human Pose Estimation
* 3D Pose from Motion for Cross-View Action Recognition via Non-linear Circulant Temporal Encoding
* 3D Reconstruction from Accidental Motion
* 3D Shape and Indirect Appearance by Structured Light Transport
* 3D-Aided Face Recognition Robust to Expression and Pose Variations
* 6 Seconds of Sound and Vision: Creativity in Micro-videos
* Accurate Localization and Pose Estimation for Large 3D Models
* Accurate Object Detection with Joint Classification-Regression Random Forests
* Action Localization with Tubelets from Motion
* Actionness Ranking with Lattice Conditional Ordinal Random Fields
* Active Annotation Translation
* Active Flattening of Curved Document Images via Two Structured Beams
* Active Frame, Location, and Detector Selection for Automated and Manual Video Annotation
* Active Sampling for Subjective Image Quality Assessment
* Adaptive Color Attributes for Real-Time Visual Tracking
* Adaptive Object Retrieval with Kernel Reconstructive Hashing
* Adaptive Partial Differential Equation Learning for Visual Saliency Detection
* Additive Quantization for Extreme Vector Compression
* Aerial Reconstructions via Probabilistic Data Fusion
* Aliasing Detection and Reduction in Plenoptic Imaging
* Analysis by Synthesis: 3D Object Recognition by Object Reconstruction
* Anytime Recognition of Objects and Scenes
* Are Cars Just 3D Boxes? Jointly Estimating the 3D Shape of Multiple Objects
* Ask the Image: Supervised Pooling to Preserve Feature Locality
* Associative Embeddings for Large-Scale Knowledge Transfer with Self-Assessment
* Asymmetric Sparse Kernel Approximations for Large-Scale Visual Search
* Asymmetrical Gauss Mixture Models for Point Sets Matching
* Attributed Graph Mining and Matching: An Attempt to Define and Extract Soft Attributed Patterns
* Automated Estimator of Image Visual Realism Based on Human Cognition, An
* Automatic Construction of Deformable Models In-the-Wild
* Automatic Face Reenactment
* Automatic Feature Learning for Robust Shadow Detection
* Backscatter Compensated Photometric Stereo with 3 Sources
* Bags of Spacetime Energies for Dynamic Scene Recognition
* Bayes Merging of Multiple Vocabularies for Scalable Image Retrieval
* Bayesian Active Appearance Models
* Bayesian Active Contours with Affine-Invariant, Elastic Shape Prior
* Bayesian Framework for the Local Configuration of Retinal Junctions, A
* Bayesian View Synthesis and Image-Based Rendering Principles
* Beat the MTurkers: Automatic Image Labeling from Weak 3D Supervision
* Beta Process Multiple Kernel Learning
* Better Feature Tracking through Subspace Constraints
* Better Shading for Better Shape Recovery
* Beyond Comparing Image Pairs: Setwise Active Learning for Relative Attributes
* Beyond Human Opinion Scores: Blind Image Quality Assessment Based on Synthetic Scores
* Bi-label Propagation for Generic Multiple Object Tracking
* BING: Binarized Normed Gradients for Objectness Estimation at 300fps
* Birdsnap: Large-Scale Fine-Grained Visual Categorization of Birds
* Blind Image Quality Assessment Using Semi-supervised Rectifier Networks
* Bregman Divergences for Infinite Dimensional Covariance Matrices
* Calibrating a Non-isotropic Near Point Light Source Using a Plane
* Camouflaging an Object from Many Viewpoints
* Capturing Long-Tail Distributions of Object Subcategories
* Cause and Effect Analysis of Motion Trajectories for Modeling Actions, A
* CID: Combined Image Denoising in Spatial and Frequency Domains Using Web Images
* Class Specific 3D Object Shape Priors Using Surface Normals
* Classification of Histology Sections via Multispectral Convolutional Sparse Coding
* Clothing Co-parsing by Joint Image Segmentation and Labeling
* Co-localization in Real-World Images
* Co-segmentation of Textured 3D Shapes with Sparse Annotations
* Collaborative Hashing
* Collective Matrix Factorization Hashing for Multimodal Data
* Color Transfer Using Probabilistic Moving Least Squares
* Compact and Discriminative Face Track Descriptor, A
* Compact Representation for Image Classification: To Choose or to Compress?
* Complex Activity Recognition Using Granger Constrained DBN (GCDBN) in Sports and Surveillance Video
* Complex Non-rigid Motion 3D Reconstruction by Union of Subspaces
* Compositional Model for Low-Dimensional Image Set Representation, A
* Confidence-Rated Multiple Instance Boosting for Object Detection
* Congruency-Based Reranking
* Constructing Robust Affinity Graphs for Spectral Clustering
* Context Driven Scene Parsing with Attention to Rare Classes
* Continuous Manifold Based Adaptation for Evolving Visual Domains
* Convex Relaxation of the Ambrosio-Tortorelli Elliptic Functionals for the Mumford-Shah Functional, A
* Convolutional Neural Networks for No-Reference Image Quality Assessment
* COSTA: Co-Occurrence Statistics for Zero-Shot Classification
* Covariance Descriptors for 3D Shape Matching and Retrieval
* Covariance Trees for 2D and 3D Processing
* Critical Configurations for Radial Distortion Self-Calibration
* Cross-Scale Cost Aggregation for Stereo Matching
* Cross-View Action Modeling, Learning, and Recognition
* Curvilinear Structure Tracking by Low Rank Tensor Approximation with Model Propagation
* Cut, Glue, & Cut: A Fast, Approximate Solver for Multicut Partitioning
* DAISY Filter Flow: A Generalized Discrete Approach to Dense Correspondences
* Data-Driven Flower Petal Modeling with Botany Priors
* Deblurring Low-Light Images with Light Streaks
* Deblurring Text Images via L0-Regularized Intensity and Gradient Prior
* Decomposable Nonlocal Tensor Dictionary Learning for Multispectral Image Denoising
* Decorrelated Vectorial Total Variation
* Decorrelating Semantic Visual Attributes by Resisting the Urge to Share
* Deep Fisher Kernels: End to End Learning of the Fisher Kernel GMM Parameters
* Deep Learning Face Representation from Predicting 10,000 Classes
* DeepFace: Closing the Gap to Human-Level Performance in Face Verification
* DeepPose: Human Pose Estimation via Deep Neural Networks
* DeepReID: Deep Filter Pairing Neural Network for Person Re-identification
* Deformable Object Matching via Deformation Decomposition Based 2D Label MRF
* Deformable Registration of Feature-Endowed Point Sets Based on Tensor Fields
* Dense Non-rigid Shape Correspondence Using Random Forests
* Dense Semantic Image Segmentation with Objects and Attributes
* Depth and Skeleton Associated Action Recognition without Online Accessible RGB-D Cameras
* Depth Enhancement via Low-Rank Matrix Completion
* Describing Textures in the Wild
* Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts
* Detecting Objects Using Deformation Dictionaries
* Diffuse Mirrors: 3D Reconstruction from Diffuse Indirect Illumination Using Inexpensive Time-of-Flight Sensors
* Dirichlet-Based Histogram Feature Transform for Image Classification
* DISCOVER: Discovering Important Segments for Classification of Video Events and Recounting
* Discrete-Continuous Depth Estimation from a Single Image
* Discrete-Continuous Gradient Orientation Estimation for Faster Image Segmentation
* Discriminative Blur Detection Features
* Discriminative Deep Metric Learning for Face Verification in the Wild
* Discriminative Feature-to-Point Matching in Image-Based Localization
* Discriminative Ferns Ensemble for Hand Pose Recognition
* Discriminative Hierarchical Modeling of Spatio-temporally Composable Human Activities
* Discriminative Sparse Inverse Covariance Matrix: Application in Brain Functional Network Classification
* Distance Encoded Product Quantization
* Diversity-Enhanced Condensation Algorithm and Its Application for Robust and Accurate Endoscope Three-Dimensional Motion Tracking
* DL-SFA: Deeply-Learned Slow Feature Analysis for Action Recognition
* Domain Adaptation on the Statistical Manifold
* Dual Linear Regression Based Classification for Face Cluster Recognition
* Dual-Space Decomposition of 2D Complex Shapes
* Edge-Aware Gradient Domain Optimization Framework for Image Filtering by Local Propagation
* Efficient Action Localization with Approximately Normalized Fisher Vectors
* Efficient Boosted Exemplar-Based Face Detection
* Efficient Computation of Relative Pose for Multi-camera Systems
* Efficient Feature Extraction, Encoding, and Classification for Action Recognition
* Efficient Hierarchical Graph-Based Segmentation of RGBD Videos
* Efficient High-Resolution Stereo Matching Using Local Plane Sweeps
* Efficient Nonlinear Markov Models for Human Motion
* Efficient Pruning LMI Conditions for Branch-and-Prune Rank and Chirality-Constrained Estimation of the Dual Absolute Quadric
* Efficient Squared Curvature
* Efficient Structured Parsing of Facades Using Dynamic Programming
* Empirical Minimum Bayes Risk Prediction: How to Extract an Extra Few % Performance from Vision Models with Just Three More Parameters
* Energy Based Multi-model Fitting & Matching for 3D Reconstruction
* Enriching Visual Knowledge Bases via Object Discovery and Segmentation
* Error-Tolerant Scribbles Based Interactive Image Segmentation
* Evaluation of Scan-Line Optimization for 3D Medical Image Registration
* Event Detection Using Multi-level Relevance Labels and Multiple Features
* Evolutionary Quasi-Random Search for Hand Articulations Tracking
* Exemplar-Based CRF for Multi-instance Object Segmentation, An
* Exploiting Shading Cues in Kinect IR Images for Geometry Refinement
* Face Alignment at 3000 FPS via Regressing Local Binary Features
* Facial Expression Recognition via a Boosted Deep Belief Network
* Fantope Regularization in Metric Learning
* Fast and Accurate Image Matching with Cascade Hashing for 3D Reconstruction
* Fast and Exact: ADMM-Based Discriminative Shape Segmentation with Loopy Part Models
* Fast and Reliable Two-View Translation Estimation
* Fast and Robust Algorithm to Count Topologically Persistent Holes in Noisy Clouds, A
* Fast and Robust Archetypal Analysis for Representation Learning
* Fast Approximate Inference in Higher Order MRF-MAP Labeling Problems
* Fast Edge-Preserving PatchMatch for Large Displacement Optical Flow
* FAST LABEL: Easy and Efficient Solution of Joint Multi-label and Estimation Problems
* Fast MRF Optimization with Application to Depth Reconstruction
* Fast Rotation Search with Stereographic Projections for 3D Registration
* Fast Supervised Hashing with Decision Trees for High-Dimensional Data
* Fast, Approximate Piecewise-Planar Modeling Based on Sparse Structure-from-Motion and Superpixels
* Fastest Deformable Part Model for Object Detection, The
* FAUST: Dataset and Evaluation for 3D Mesh Registration
* Feature-Independent Action Spotting without Human Localization, Segmentation, or Frame-wise Tracking
* Filter Forests for Learning Data-Dependent Convolutional Kernels
* Finding Matches in a Haystack: A Max-Pooling Strategy for Graph Matching in the Presence of Outliers
* Finding the Subspace Mean or Median to Fit Your Need
* Finding Vanishing Points via Point Alignments in Image Primal and Dual Domains
* Fine-Grained Visual Comparisons with Local Learning
* Fisher and VLAD with FLAIR
* Fourier Analysis on Transient Imaging with a Multifrequency Time-of-Flight Camera
* From Categories to Individuals in Real Time: A Unified Boosting Approach
* From Stochastic Grammar to Bayes Network: Probabilistic Parsing of Complex Activity
* Full-Angle Quaternions for Robustly Matching Vectors of 3D Rotations
* Fully Automated Non-rigid Segmentation with Distance Regularized Level Set Evolution Initialized and Constrained by Deep-Structured Inference
* Gait Recognition under Speed Transition
* Gauss-Newton Deformable Part Models for Face Alignment In-the-Wild
* General and Simple Method for Camera Pose and Focal Length Determination, A
* Generalized Max Pooling
* Generalized Nonconvex Nonsmooth Low-Rank Minimization
* Generalized Pupil-centric Imaging and Analytical Calibration for a Non-frontal Camera
* Generating Object Segmentation Proposals Using Global and Local Search
* Geometric Generative Gaze Estimation (G3E) for Remote RGB-D Cameras
* Geometric Urban Geo-localization
* Gesture Recognition Portfolios for Personalization
* Good Vibrations: A Modal Analysis Approach for Sequential Non-rigid Structure from Motion
* GPS-Tag Refinement Using Random Walks with an Adaptive Damping Factor
* Graph Cut Based Continuous Stereo Matching Using Locally Shared Labels
* Grassmann Averages for Scalable Robust PCA
* Ground Plane Estimation Using a Hidden Markov Model
* Gyro-Based Multi-image Deconvolution for Removing Handshake Blur
* Hash-SVM: Scalable Kernel Machines for Large-Scale Visual Classification
* Head Pose Estimation Based on Multivariate Label Distribution
* Hierarchical Context Model for Event Recognition in Surveillance Video, A
* Hierarchical Feature Hashing for Fast Dimensionality Reduction
* Hierarchical Probabilistic Model for Facial Feature Detection, A
* Hierarchical Subquery Evaluation for Active Learning on a Graph
* High Quality Photometric Reconstruction Using a Depth Camera
* High Resolution 3D Shape Texture from Multiple Videos
* Higher-Order Clique Reduction without Auxiliary Variables
* Histograms of Pattern Sets for Image Classification and Object Recognition
* How to Evaluate Foreground Maps
* Human Action Recognition across Datasets by Foreground-Weighted Histogram Decomposition
* Human Action Recognition Based on Context-Dependent Graph Kernels
* Human Action Recognition by Representing 3D Skeletons as Points in a Lie Group
* Human Body Shape Estimation Using a Multi-resolution Manifold Forest
* Human Shape and Pose Tracking Using Keyframes
* Human vs. Computer in Scene and Object Recognition
* Illumination-Aware Age Progression
* Image Fusion with Local Spectral Consistency and Dynamic Gradient Sparsity
* Image Pre-compensation: Balancing Contrast and Ringing
* Image Reconstruction from Bag-of-Visual-Words
* Image-Based Synthesis and Re-synthesis of Viewpoints Guided by 3D Models
* Immediate, Scalable Object Category Detection
* Improving Semantic Concept Detection through the Dictionary of Visually-Distinct Elements
* In Search of Inliers: 3D Correspondence by Local and Global Voting
* Incorporating Scene Context and Object Layout into Appearance Modeling
* Incremental Activity Modeling and Recognition in Streaming Videos
* Incremental Face Alignment in the Wild
* Incremental Learning of NCM Forests for Large-Scale Image Classification
* Inferring Analogous Attributes
* Inferring Unseen Views of People
* Informed Haar-Like Features Improve Pedestrian Detection
* Instance-Weighted Transfer Learning of Active Appearance Models
* Interval Tracker: Tracking by Interval Analysis
* Investigating Haze-Relevant Features in a Learning Framework for Image Dehazing
* Is Rotation a Nuisance in Shape Recognition?
* Iterated Second-Order Label Sensitive Pooling for 3D Human Pose Estimation
* Iterative Multilevel MRF Leveraging Context and Voxel Information for Brain Tumour Segmentation in MRI
* Joint Coupled-Feature Representation and Coupled Boosting for AD Diagnosis
* Joint Depth Estimation and Camera Shake Removal from Single Blurry Image
* Joint Motion Segmentation and Background Estimation in Dynamic Scenes
* Joint Summarization of Large-Scale Collections of Web Images and Videos for Storyline Reconstruction
* Kernel-PCA Analysis of Surface Normals for Shape-from-Shading
* L0 Norm Based Dictionary Learning by Proximal Methods with Global Convergence
* Lacunarity Analysis on Image Patterns for Texture Classification
* Language of Actions: Recovering the Syntax and Semantics of Goal-Directed Human Activities, The
* Laplacian Coordinates for Seeded Image Segmentation
* Large Scale Multi-view Stereopsis Evaluation
* Large-Scale Optimization of Hierarchical Features for Saliency Prediction in Natural Images
* Large-Scale Video Classification with Convolutional Neural Networks
* Large-Scale Visual Font Recognition
* Latent Dictionary Learning for Sparse Representation Based Classification
* Latent Regression Forest: Structured Estimation of 3D Articulated Hand Posture
* Learning an Image-Based Motion Context for Multiple People Tracking
* Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks
* Learning Euclidean-to-Riemannian Metric for Point-to-Set Classification
* Learning Everything about Anything: Webly-Supervised Visual Concept Learning
* Learning Expressionlets on Spatio-temporal Manifold for Dynamic Facial Expression Recognition
* Learning Fine-Grained Image Similarity with Deep Ranking
* Learning Important Spatial Pooling Regions for Scene Classification
* Learning Inhomogeneous FRAME Models for Object Patterns
* Learning Mid-level Filters for Person Re-identification
* Learning Non-linear Reconstruction Models for Image Set Classification
* Learning Optimal Seeds for Diffusion-Based Salient Object Detection
* Learning Receptive Fields for Pooling from Tensors of Feature Response
* Learning Scalable Discriminative Dictionary with Sample Relatedness
* Learning to Detect Ground Control Points for Improving the Accuracy of Stereo Matching
* Learning to Group Objects
* Learning to Learn, from Transfer Learning to Domain Adaptation: A Unifying Perspective
* Learning-Based Atlas Selection for Multiple-Atlas Segmentation
* Learning-by-Synthesis for Appearance-Based 3D Gaze Estimation
* Learning-to-Rank Approach for Image Color Enhancement, A
* Leveraging Hierarchical Parametric Networks for Skeletal Joints Based Action Segmentation and Recognition
* Light Field Stereo Matching Using Bilateral Statistics of Surface Cameras
* Linear Ranking Analysis
* Local Layering for Joint Motion Estimation and Occlusion Detection
* Local Readjustment for High-Resolution 3D Reconstruction
* Local Regularity-Driven City-Scale Facade Detection from Aerial Images
* Locality in Generic Instance Search from One Example
* Locally Linear Hashing for Extracting Non-linear Manifolds
* Locally Optimized Product Quantization for Approximate Nearest Neighbor Search
* Look at the Driver, Look at the Road: No Distraction! No Accident!
* Looking Beyond the Visible Scene
* Low-Cost Compressive Sensing for Color Video and Depth
* L_0 Regularized Stationary Time Estimation for Crowd Group Analysis
* Manifold Based Dynamic Texture Synthesis from Extremely Few Samples
* MAP Visibility Estimation for Large-Scale Dynamic 3D Reconstruction
* Matrix-Similarity Based Loss Function and Feature Selection for Alzheimer's Disease Diagnosis
* Max-Margin Boltzmann Machines for Object Segmentation
* Maximum Persistency in Energy Minimization
* Measuring Distance between Unordered Sets of Different Sizes
* Merging SVMs with Linear Discriminant Analysis: A Combined Model
* MILCut: A Sweeping Line Multiple Instance Learning Paradigm for Interactive Image Segmentation
* Minimal Scene Descriptions from Structure from Motion Models
* Minimal Solution to the Generalized Pose-and-Scale Problem, A
* Minimal Solvers for Relative Pose with a Single Unknown Radial Distortion
* Mirror Symmetry Histograms for Capturing Geometric Properties in Images
* Mixing Body-Part Sequences for Human Pose Estimation
* Mixture of Manhattan Frames: Beyond the Manhattan World, A
* Model Transport: Towards Scalable Transfer Learning on Manifolds
* Modeling Image Patches with a Generic Dictionary of Mini-epitomes
* Motion-Depth: RGB-D Depth Map Enhancement with Motion and Depth in Complement
* Multi-cue Visual Tracking Using Robust Feature-Level Fusion Based on Joint Sparse Representation
* Multi-feature Spectral Clustering with Minimax Optimization
* Multi-fold MIL Training for Weakly Supervised Object Localization
* Multi-forest Tracker: A Chameleon in Tracking
* Multi-label Generic Cuts: Optimal Inference in Multi-label Multi-clique MRF-MAP Problems
* Multi-object Tracking via Constrained Sequential Labeling
* Multi-output Learning for Camera Relocalization
* Multi-shot Imaging: Joint Alignment, Deblurring, and Resolution-Enhancement
* Multi-source Deep Learning for Human Pose Estimation
* Multi-target Tracking with Motion Context in Tensor Power Iteration
* Multi-view Super Vector for Action Recognition
* Multigraph Representation for Improved Unsupervised/Semi-supervised Learning of Human Actions, A
* Multilabel Ranking with Inconsistent Rankers
* Multimodal Learning in Loosely-Organized Web Images
* Multiple Granularity Analysis for Fine-Grained Action Detection
* Multiple Structured-Instance Learning for Semantic Segmentation with Uncertain Training Data
* Multiple Target Tracking Based on Undirected Hierarchical Relation Hypergraph
* Multipoint Filtering with Local Polynomial Approximation and Range Guidance
* Multiscale Centerline Detection by Learning a Scale-Space Distance Transform
* Multiscale Combinatorial Grouping
* Multivariate General Linear Models (MGLM) on Riemannian Manifolds with Applications to Statistical Analysis of Diffusion Weighted Images
* Multiview Shape and Reflectance from Natural Illumination
* Neural Decision Forests for Semantic Image Labelling
* New Perspective on Material Classification and Ink Identification, A
* Newton Greedy Pursuit: A Quadratic Approximation Method for Sparsity-Constrained Optimization
* NMF-KNN: Image Annotation Using Weighted Multi-view Non-negative Matrix Factorization
* Noising versus Smoothing for Vertex Identification in Unknown Shapes
* Non-parametric Bayesian Constrained Local Models
* Non-rigid Segmentation Using Sparse Low Dimensional Manifolds and Deep Belief Networks
* Nonparametric Context Modeling of Local Appearance for Pose- and Expression-Robust Facial Landmark Localization
* Nonparametric Part Transfer for Fine-Grained Recognition
* Novel Chamfer Template Matching Method Using Variational Mean Field, A
* Novel Methods for Multilinear Data Completion and De-noising Based on Tensor-SVD
* Object Classification with Adaptable Regions
* Object Partitioning Using Local Convexity
* Object-Based Multiple Foreground Video Co-segmentation
* Occluding Contours for Multi-view Stereo
* Occlusion Coherence: Localizing Occluded Faces with a Hierarchical Deformable Part Model
* Occlusion Geodesics for Online Multi-object Tracking
* On Projective Reconstruction in Arbitrary Dimensions
* On the Quotient Representation for the Essential Manifold
* One Millisecond Face Alignment with an Ensemble of Regression Trees
* Online Learned Elementary Grouping Model for Multi-target Tracking, An
* Online Object Tracking, Learning and Parsing with And-Or Graphs
* Optimal Decisions from Probabilistic Models: The Intersection-over-Union Case
* Optimizing Average Precision Using Weakly Supervised Data
* Optimizing over Radial Kernels on Compact Manifolds
* Orientation Robust Text Line Detection in Natural Images
* Orientational Pyramid Matching for Recognizing Indoor Scenes
* Packing and Padding: Coupled Multi-index for Accurate Image Retrieval
* PANDA: Pose Aligned Networks for Deep Attribute Modeling
* Parallax-Tolerant Image Stitching
* Parsing Occluded People
* Parsing Videos of Actions with Segmental Grammars
* Parsing World's Skylines Using Shape-Constrained MRFs
* Partial Occlusion Handling for Visual Tracking via Robust Part Matching
* Partial Optimality by Pruning for MAP-Inference with General Graphical Models
* Partial Symmetry in Polynomial Systems and Its Applications in Computer Vision
* Patch to the Future: Unsupervised Visual Prediction
* Patch-Based Evaluation of Image Segmentation
* PatchMatch Based Joint View Selection and Depthmap Estimation
* Pedestrian Detection in Low-Resolution Imagery by Learning Multi-scale Intrinsic Motion Structures (MIMS)
* Persistence-Based Structural Recognition
* Persistent Tracking for Wide Area Aerial Surveillance
* Photometric Bundle Adjustment for Dense Multi-view 3D Modeling
* Photometric Stereo Using Constrained Bivariate Regression for General Isotropic Surfaces
* Photometry of Intrinsic Images, The
* Piecewise Planar and Compact Floorplan Reconstruction from Images
* Point Matching in the Presence of Outliers in Both Point Sets: A Concave Optimization Approach
* Posebits for Monocular Human Pose Estimation
* Preconditioning for Accelerated Iteratively Reweighted Least Squares in Structured Sparsity Reconstruction
* Predicting Failures of Vision Systems
* Predicting Matchability
* Predicting Multiple Attributes via Relative Multi-task Learning
* Predicting Object Dynamics in Scenes
* Predicting User Annoyance Using Visual Attributes
* Primal-Dual Algorithm for Higher-Order Multilabel Markov Random Fields, A
* Principled Approach for Coarse-to-Fine MAP Inference, A
* Probabilistic Framework for Multitarget Tracking with Mutual Occlusions, A
* Probabilistic Labeling Cost for High-Accuracy Multi-view Reconstruction
* Procrustean Markov Process for Non-rigid Structure Recovery, A
* Product Sparse Coding
* Pseudoconvex Proximal Splitting for L-infinity Problems in Multiview Geometry
* Pulling Things out of Perspective
* Pyramid-Based Visual Tracking Using Sparsity Represented Mean Transform
* Quality Assessment for Comparing Image Enhancement Algorithms
* Quality Dynamic Human Body Modeling Using a Single Low-Cost Depth Camera
* Quality-Based Multimodal Classification Using Tree-Structured Sparsity
* Quasi Real-Time Summarization for Consumer Videos
* Random Laplace Feature Maps for Semigroup Kernels on Histograms
* Randomized Max-Margin Compositions for Visual Recognition
* Range-Sample Depth Feature for Action Recognition
* RAPS: Robust and Efficient Automatic Construction of Person-Specific Deformable Models
* Rate-Invariant Analysis of Trajectories on Riemannian Manifolds with Application in Visual Speech Recognition
* Raw-to-Raw: Mapping between Image Sensor Color Responses
* Real-Time Model-Based Articulated Object Pose Detection and Tracking with Variable Rigidity Constraints
* Real-Time Simultaneous Pose and Shape Estimation for Articulated Objects Using a Single Depth Camera
* Realtime and Robust Hand Tracking from Depth
* Recognition of Complex Events: Exploiting Temporal Dynamics between Underlying Concepts
* Recognizing RGB Images by Learning from RGB-D Data
* Reconstructing Evolving Tree Structures in Time Lapse Sequences
* Reconstructing PASCAL VOC
* Reconstructing Storyline Graphs for Image Recommendation from Web Community Photos
* Recovering Surface Details under General Unknown Illumination Using Shading and Coarse Multi-view Stereo
* Rectification, and Segmentation of Coplanar Repeated Patterns
* Reflectance and Fluorescent Spectra Recovery Based on Fluorescent Chromaticity Invariance under Varying Illumination
* Region-Based Discriminative Feature Pooling for Scene Text Recognition
* Region-Based Particle Filter for Video Object Segmentation
* Relative Parts: Distinctive Parts for Learning Relative Attributes
* Relative Pose Estimation for a Multi-camera System with Known Vertical Direction
* Remote Heart Rate Measurement from Face Videos under Realistic Situations
* Reverse Hierarchy Model for Predicting Eye Fixations, A
* Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
* Riemannian Framework for Matching Point Clouds Represented by the Schrodinger Distance Transform, A
* Rigid Motion Segmentation Using Randomized Voting
* RIGOR: Reusing Inference in Graph Cuts for Generating Object Regions
* Robust 3D Features for Matching between Distorted Range Scans Captured by Moving Systems
* Robust 3D Tracking with Descriptor Fields
* Robust Estimation of 3D Human Poses from a Single Image
* Robust Online Multi-object Tracking Based on Tracklet Confidence and Online Discriminative Appearance Learning
* Robust Orthonormal Subspace Learning: Efficient Recovery of Corrupted Low-Rank Matrices
* Robust Scale Estimation in Real-Time Monocular SFM for Autonomous Driving
* Robust Separation of Reflection from Multiple Images
* Robust Subspace Segmentation with Block-Diagonal Prior
* Robust Surface Reconstruction via Triple Sparsity
* Role of Context for Object Detection and Semantic Segmentation in the Wild, The
* Saliency Detection on Light Field
* Saliency Optimization from Robust Background Detection
* Salient Region Detection via High-Dimensional Color Transform
* Scalable 3D Tracking of Multiple Interacting Objects
* Scalable Multitask Representation Learning for Scene Classification
* Scalable Object Detection Using Deep Neural Networks
* Scale-Space Processing Using Polynomial Representations
* SCAMS: Simultaneous Clustering and Model Selection
* Scanline Sampler without Detailed Balance: An Efficient MCMC for MRF Optimization
* Scattering Parameters and Surface Normals from Homogeneous Translucent Materials Using Photometric Stereo
* Scene Labeling Using Beam Search under Mutex Constraints
* Scene Parsing with Object Instances and Occlusion Ordering
* Scene-Independent Group Profiling in Crowd
* SeamSeg: Video Object Segmentation Using Patch Seams
* Second-Order Shape Optimization for Geometric Inverse Problems in Vision
* Secrets of Salient Object Segmentation, The
* Seeing 3D Chairs: Exemplar Part-Based 2D-3D Alignment Using a Large Dataset of CAD Models
* Seeing the Arrow of Time
* Seeing What You're Told: Sentence-Guided Activity Recognition in Video
* Segmentation-Aware Deformable Part Models
* Segmentation-Free Dynamic Scene Deblurring
* Semantic Object Selection
* Semi-supervised Coupled Dictionary Learning for Person Re-identification
* Semi-supervised Relational Topic Model for Weakly Annotated Image Recognition in Social Media
* Semi-supervised Spectral Clustering for Image Set Classification
* Separable Kernel for Image Deblurring
* Separation of Line Drawings Based on Split Faces for 3D Object Reconstruction
* Sequential Convex Relaxation for Mutual Information-Based Unsupervised Figure-Ground Segmentation
* Shadow Removal from Single RGB-D Images
* Shape-Preserving Half-Projective Warps for Image Stitching
* Shape-Time Random Field for Semantic Video Labeling, The
* Shrinkage Fields for Effective Image Restoration
* Sign Spotting Using Hierarchical Sequential Patterns with Temporal Intervals
* Similarity Comparisons for Interactive Fine-Grained Categorization
* Similarity-Aware Patchwork Assembly for Depth Image Super-resolution
* Simplex-Based 3D Spatio-temporal Feature Description for Action Recognition
* Simultaneous Localization and Calibration: Self-Calibration of Consumer Depth Cameras
* Simultaneous Twin Kernel Learning Using Polynomial Transformations for Structured Prediction
* Single Image Layer Separation Using Relative Smoothness
* Single Image Super-resolution Using Deformable Patches
* Single-View 3D Scene Parsing by Attributed Grammar
* Smooth Representation Clustering
* Socially-Aware Large-Scale Crowd Forecasting
* Sparse Dictionary Learning for Edit Propagation of High-Resolution Images
* Spectral Clustering with Jensen-Type Kernels and Their Multi-point Extensions
* Spectral Graph Reduction for Efficient Image and Streaming Video Segmentation
* Speeding Up Tracking by Ignoring Features
* SphereFlow: 6 DoF Scene Flow from RGB-D Pairs
* Stable and Informative Spectral Signatures for Graph Matching
* Stable Learning in Coding Space for Multi-class Decoding and Its Extension for Multi-class Hypothesis Transfer Learning
* Stable Template-Based Isometric 3D Reconstruction in All Imaging Conditions by Linear Least-Squares
* Stacked Progressive Auto-Encoders (SPAE) for Face Recognition Across Poses
* SteadyFlow: Spatially Smooth Optical Flow for Video Stabilization
* Stereo under Sequential Optimal Sampling: A Statistical Analysis Framework for Search Space Reduction
* StoryGraphs: Visualizing Character Interactions as a Timeline
* Strokelets: A Learned Multi-scale Representation for Scene Text Recognition
* Study on Cross-Population Age Estimation, A
* Submodular Object Recognition
* Submodularization for Binary Pairwise Energies
* Subspace Clustering for Sequential Data
* Subspace Tracking under Dynamic Dimensionality for Online Background Subtraction
* Super Normal Vector for Activity Recognition Using Depth Sequences
* Super-resolving Noisy Images
* Surface Registration by Optimization in Constrained Diffeomorphism Space
* Surface-from-Gradients: An Approach Based on Discrete Geometry Processing
* Switchable Deep Network for Pedestrian Detection
* Symmetry-Aware Nonrigid Matching of Incomplete 3D Surfaces
* Synthesizability of Texture Examples, The
* T-Linkage: A Continuous Relaxation of J-Linkage for Multi-model Fitting
* Talking Heads: Detecting Humans and Recognizing Their Interactions
* Tell Me What You See and I Will Show You Where It Is
* Temporal Segmentation of Egocentric Videos
* Temporal Sequence Modeling for Video Event Detection
* Three Guidelines of Online Learning for Large-Scale Visual Recognition
* Time-Mapping Using Space-Time Saliency
* Timing-Based Local Descriptor for Dynamic Surfaces
* Topic Modeling of Multimodal Data: An Autoregressive Approach
* Total Variation Blind Deconvolution: The Devil Is in the Details
* Total-Variation Minimization on Unstructured Volumetric Mesh: Biophysical Applications on Reconstruction of 3D Ischemic Myocardium
* Towards Good Practices for Action Video Encoding
* Towards Multi-view and Partially-Occluded Face Alignment
* Towards Unified Human Parsing and Pose Estimation
* Tracking Indistinguishable Translucent Objects over Time Using Weakly Supervised Structured Learning
* Tracking on the Product Manifold of Shape and Orientation for Tractography from Diffusion MRI
* Tracklet Association with Online Target-Specific Metric Learning
* Transfer Joint Matching for Unsupervised Domain Adaptation
* Transformation Pursuit for Image Classification
* Transitive Distance Clustering with K-Means Duality
* Transparent Object Reconstruction via Coded Transport of Intensity
* Triangulation Embedding and Democratic Aggregation for Image Search
* Trinocular Geometry Revisited
* Turning Mobile Phones into 3D Scanners
* Two-Class Weather Classification
* Two-View Camera Housing Parameters Calibration for Multi-layer Flat Refractive Interface
* Understanding Objects in Detail with Fine-Grained Attributes
* Unified Face Analysis by Iterative Multi-output Random Forests
* Unifying Spatial and Attribute Selection for Distracter-Resilient Tracking
* Unsupervised Learning of Dictionaries of Hierarchical Compositional Models
* Unsupervised Multi-class Joint Image Segmentation
* Unsupervised One-Class Learning for Automatic Outlier Removal
* Unsupervised Spectral Dual Assignment Clustering of Human Actions in Context
* Unsupervised Trajectory Modelling Using Temporal Information via Minimal Paths
* User-Specific Hand Modeling from Monocular Depth Sequences
* Using a Deformation Field Model for Localizing Faces and Facial Points under Weak Supervision
* Using k-Poselets for Detecting People and Localizing Their Keypoints
* Using Projection Kurtosis Concentration of Natural Images for Blind Noise Covariance Matrix Estimation
* Very Fast Solution to the PnP Problem with Algebraic Outlier Rejection
* Video Classification Using Semantic Concept Co-occurrences
* Video Event Detection by Inferring Temporal Instance Labels
* Video Motion Segmentation Using New Adaptive Manifold Denoising Model
* Visual Persuasion: Inferring Communicative Intents of Images
* Visual Semantic Search: Retrieving Videos via Complex Textual Queries
* Visual Tracking Using Pertinent Patch Selection and Masking
* Visual Tracking via Probability Continuous Outlier Model
* Weakly Supervised Multiclass Video Segmentation
* Weighted Nuclear Norm Minimization with Application to Image Denoising
* What Are You Talking About? Text-to-Image Coreference
* What Camera Motion Reveals about Shape with Unknown BRDF
* When 3D Reconstruction Meets Ubiquitous RGB-D Images
* Who Do I Look Like? Determining Parent-Offspring Resemblance via Gated Autoencoders
* Word Channel Based Multiscale Pedestrian Detection without Image Resizing and Using Only One Classifier
* Zero-Shot Event Detection Using Multi-modal Fusion of Weakly Supervised Concepts
540 for CVPR14

CVPR15 * *CVPR
* 24/7 Place Recognition by View Synthesis
* 3D all the way: Semantic segmentation of urban scenes from start to end in 3D
* 3D deep shape descriptor
* 3D model-based continuous emotion recognition
* 3D Reconstruction in the presence of glasses by acoustic and stereo fusion
* 3D scanning deformable objects with a single RGBD sensor
* 3D shape estimation from 2D landmarks: A convex relaxation approach
* 3D ShapeNets: A deep representation for volumetric shapes
* Absolute pose for cameras under flat refractive interfaces
* Accurate depth map estimation from a lenslet light field camera
* Action recognition with trajectory-pooled deep-convolutional descriptors
* Active learning and discovery of object categories in the presence of unnameable instances
* Active learning for structured probabilistic models with histogram approximation
* Active Pictorial Structures
* Active sample selection and correction propagation on a gradually-augmented graph
* active search strategy for efficient object class detection, An
* ActivityNet: A large-scale video benchmark for human activity understanding
* Adaptive as-natural-as-possible image stitching
* Adaptive eye-camera calibration for head-worn devices
* Adaptive region pooling for object detection
* Adopting an unconstrained ray model in light-field cameras for 3D shape reconstruction
* Aligning 3D models to RGB-D images of cluttered scenes
* Ambient occlusion via compressive visibility estimation
* aperture problem for refractive motion, The
* Appearance-based gaze estimation in the wild
* application of two-level attention models in deep convolutional neural network for fine-grained image classification, The
* Approximate nearest neighbor fields in video
* approximate shading model for object relighting, An
* Articulated motion discovery using pairs of trajectories
* Associating neural word embeddings with deep image representations using Fisher Vectors
* Attributes and categories for generic instance search from one example
* Automatic construction of robust spherical harmonic subspaces
* Automatically discovering local visual material attributes
* Background Subtraction via generalized fused lasso foreground modeling
* Basis mapping based boosting for object detection
* Bayesian adaptive matrix factorization with automatic model selection
* Bayesian Inference for Neighborhood Filters With Application in Denoising
* Bayesian sparse representation for hyperspectral image super resolution
* Becoming the expert: Interactive multi-class machine teaching
* Best of both worlds: Human-machine collaboration for object annotation
* Best-Buddies Similarity for robust template matching
* Beyond frontal faces: Improving Person Recognition using multiple cues
* Beyond Gaussian Pyramid: Multi-skip Feature Stacking for action recognition
* Beyond Mahalanobis metric: Cayley-Klein metric learning
* Beyond Principal Components: Deep Boltzmann Machines for face modeling
* Beyond short snippets: Deep networks for video classification
* Beyond spatial pooling: Fine-grained representation learning in multiple domains
* Beyond the shortest path: Unsupervised domain adaptation by Sampling Subspaces along the Spline Flow
* Bilinear heterogeneous information machine for RGB-D action recognition
* Bilinear random projections for locality-sensitive binary codes
* Blind optical aberration correction by exploring geometric and visual priors
* Blur kernel estimation using normalized color-line priors
* BOLD: Binary online learned descriptor for efficient image matching
* Book2Movie: Aligning video scenes with book chapters
* Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection
* Building proteins in a day: Efficient 3D molecular reconstruction
* Burst Deblurring: Removing Camera Shake Through Fourier Burst Accumulation
* Camera intrinsic blur kernel estimation: A reliable framework
* Can humans fly? Action understanding with multiple classes of actors
* Cascaded hand pose regression
* Casual stereoscopic panorama stitching
* Category-specific object reconstruction from a single image
* Causal video object segmentation from persistence of occlusions
* CIDEr: Consensus-based image description evaluation
* Class consistent multi-modal fusion with binary features
* Classifier adaptation at prediction time
* Classifier based graph construction for video segmentation
* Classifier learning with hidden information
* Clique-graph matching by preserving global & local structure
* Clustering of static-adaptive correspondences for deformable object tracking
* Co-saliency detection via looking deep and wide
* coarse-to-fine model for 3D pose estimation and sub-category recognition, A
* Coarse-to-fine region selection and matching
* Collaborative feature learning from social media
* Combination features and models for human detection
* Combining local appearance and holistic view: Dual-Source Deep Neural Networks for human pose estimation
* common self-polar triangle of concentric circles and its application to camera calibration, The
* Completing 3D object shape from one depth image
* Complexity-adaptive distance metric for object proposals generation
* Computationally bounded retrieval
* Computing similarity transformations from only image correspondences
* Computing the stereo matching cost with a convolutional neural network
* ConceptLearner: Discovering visual concepts from weakly labeled image collections
* Constrained planar cuts: Object partitioning for point clouds
* Continuous Visibility Feature
* convex optimization approach to robust fundamental matrix estimation, A
* Convolutional feature masking for joint object and stuff segmentation
* convolutional neural network cascade for face detection, A
* Convolutional neural networks at constrained time cost
* Correlation filters with limited boundaries
* Cross-age face verification by coordinating with cross-face age verification
* Cross-scene crowd counting via deep convolutional neural networks
* Curriculum learning of multiple tasks
* DASC: Dense adaptive self-correlation descriptor for multi-modal and multi-spectral correspondence
* Data-driven 3D Voxel Patterns for object category recognition
* Data-driven depth map refinement via multi-scale sparse representation
* Data-driven sparsity-based restoration of JPEG-compressed images in dual transform-pixel domain
* Dataset fingerprints: Exploring image collections through data mining
* dataset for Movie Description, A
* Deep convolutional neural fields for depth estimation from a single image
* Deep correlation for matching images and text
* Deep domain adaptation for describing people based on fine-grained clothing attributes
* Deep filter banks for texture recognition and segmentation
* Deep hashing for compact binary codes learning
* Deep hierarchical parsing for semantic segmentation
* Deep LAC: Deep localization, alignment and classification for fine-grained recognition
* Deep multiple instance learning for image classification and auto-annotation
* Deep networks for saliency detection via local estimation and global search
* Deep neural networks are easily fooled: High confidence predictions for unrecognizable images
* Deep roto-translation scattering for object classification
* Deep semantic ranking based hashing for multi-label image retrieval
* Deep sparse representation for robust image registration
* Deep transfer metric learning
* Deep Visual-Semantic Alignments for Generating Image Descriptions
* DEEP-CARVING: Discovering visual attributes by carving deep neural nets
* DeepContour: A deep convolutional feature learned by positive-sharing loss for contour detection
* DeepEdge: A multi-scale bifurcated deep network for top-down contour detection
* DeepID-Net: Deformable Deep Convolutional Neural Networks for Object Detection
* Deeply learned attributes for crowded scene understanding
* Deeply learned face representations are sparse, selective, and robust
* Deepshape: Deep learned shape descriptor for 3D shape matching and retrieval
* Defocus deblurring and superresolution for time-of-flight depth cameras
* Deformable part models are convolutional neural networks
* Delving into egocentric actions
* Dense, accurate optical flow estimation with piecewise parametric model
* Depth and surface normal estimation from monocular images using regression on deep features and hierarchical CRFs
* Depth camera tracking with contour cues
* Depth from focus with your mobile phone
* Depth from shading, defocus, and correspondence using light-field angular coherence
* Depth image enhancement using local tangent plane approximations
* Descriptor free visual indoor localization with line segments
* Designing deep networks for surface normal estimation
* Detector discovery in the wild: Joint multiple instance and representation learning
* DevNet: A Deep Event Network for multimedia event detection and evidence recounting
* Direct structure estimation for 3D reconstruction
* Direction matters: Depth estimation with a surface normal classifier
* Discovering states and transformations in image collections
* Discrete hyper-graph matching
* Discrete optimization of ray potentials for semantic 3D reconstruction
* Discriminant Analysis on Riemannian Manifold of Gaussian Distributions for Face Recognition With Image Sets
* Discriminative and consistent similarities in instance-level Multiple Instance Learning
* discriminative CNN video representation for event detection, A
* Discriminative learning of iteration-wise priors for blind deconvolution
* Discriminative shape from shading in uncalibrated illumination
* Displets: Resolving stereo ambiguities using object knowledge
* Diversity-induced Multi-view Subspace Clustering
* Domain-size pooling in local descriptors: DSP-SIFT
* Don't just listen, use your imagination: Leveraging visual common sense for non-visual tasks
* Dual domain filters based texture and structure preserving image non-blind deconvolution
* Dynamic Convolutional Layer for short range weather prediction, A
* dynamic programming approach for fast and robust object pose recognition from range images, A
* Dynamically encoded actions based on spacetime saliency
* DynamicFusion: Reconstruction and tracking of non-rigid scenes in real-time
* Early burst detection for memory-efficient image retrieval
* Effective face frontalization in unconstrained images
* Effective learning-based illuminant estimation using simple features
* Efficient and accurate approximations of nonlinear convolutional networks
* Efficient ConvNet-based marker-less motion capture in general scenes with a low number of cameras
* Efficient Globally Optimal Consensus Maximisation with Tree Search
* Efficient illuminant estimation for color constancy using grey pixels
* Efficient label collection for unlabeled image datasets
* Efficient minimal-surface regularization of perspective depth maps in variational stereo
* Efficient object localization using Convolutional Networks
* Efficient parallel optimization for potts energy with hierarchical fusion
* Efficient SDP inference for fully-connected CRFs based on low-rank decomposition
* Efficient sparse-to-dense optical flow estimation using a learned basis and layers
* efficient volumetric framework for shape tracking, An
* Ego-surfing first person videos
* EgoSampling: Fast-forward and stereo for egocentric videos
* Elastic functional coding of human actions: From vector-fields to latent variables
* Elastic-net regularization of singular values for robust subspace learning
* Embedded phase shifting: Robust phase shifting with embedded signals
* Encoding based saliency detection for videos and images
* End-to-end integration of a Convolutional Network, Deformable Parts Model and non-maximum suppression
* Enriching object detection with 2D-3D registration and continuous viewpoint estimation
* EpicFlow: Edge-preserving interpolation of correspondences for optical flow
* Evaluation of output embeddings for fine-grained image classification
* Event-driven stereo matching for real-time 3D panoramic vision
* Exact bias correction and covariance estimation for stereo vision
* Exemplar SVMs as visual feature encoders
* Expanding object detector's Horizon: Incremental learning framework for object detection in videos
* Exploiting uncertainty in regression forests for accurate camera relocalization
* Eye tracking assisted extraction of attentionally important objects from videos
* Face alignment by coarse-to-fine shape searching
* Face alignment using cascade Gaussian process regression trees
* Face video retrieval with image query via hashing across Euclidean space and Riemannian manifold
* FaceNet: A unified embedding for face recognition and clustering
* FAemb: A function approximation-based embedding method for image retrieval
* FaLRR: A fast low rank representation solver
* Fast 2D border ownership assignment
* Fast action proposals for human action detection and search
* fast algorithm for elastic shape distances between closed planar curves, A
* Fast and accurate image upscaling with super-resolution forests
* Fast and flexible convolutional sparse coding
* Fast and robust hand tracking using detection-guided optimization
* Fast bilateral-space stereo for synthetic defocus
* Fast randomized Singular Value Thresholding for Nuclear Norm Minimization
* Feature-independent context estimation for automatic image annotation
* Feedforward semantic segmentation with zoom-out features
* Filtered channel features for pedestrian detection
* Finding action tubes
* Finding distractors in images
* Fine-grained classification of pedestrians in video: Benchmark and state of the art
* Fine-grained histopathological image analysis via robust segmentation and large-scale retrieval
* Fine-grained recognition without part annotations
* Fine-grained visual categorization via multi-stage metric learning
* First-person pose recognition using egocentric workspaces
* Fisher vectors meet Neural Networks: A hybrid classification architecture
* Fixation bank: Learning to reweight fixation candidates
* fixed viewpoint approach for dense reconstruction of transparent objects, A
* flexible tensor block coordinate ascent scheme for hypergraph matching, A
* FlowWeb: Joint image set alignment by weaving consistent, pixel-wise correspondences
* Flying objects detection from a single moving camera
* FPA-CS: Focal plane array-based compressive imaging in short-wave infrared
* From captions to visual concepts and back
* From categories to subcategories: Large-scale image classification with partial class label refinement
* From dictionary of visual words to subspaces: Locality-constrained affine subspace coding
* From image-level to pixel-level labeling with Convolutional Networks
* From single image query to detailed 3D reconstruction
* Fully Convolutional Networks for Semantic Segmentation
* Functional correspondence by matrix completion
* Fusing subcategory probabilities for texture classification
* Fusion moves for correlation clustering
* Gaze-enabled egocentric video summarization via constrained submodular maximization
* Generalized Deformable Spatial Pyramid: Geometry-preserving dense correspondence estimation
* Generalized Tensor Total Variation minimization for visual data recovery?
* Generalized video deblurring for dynamic scenes
* Geo-semantic segmentation
* Geodesic exponential kernels: When curvature and linearity conflict
* geodesic-preserving method for image warping, A
* Global refinement of random forest
* Global supervised descent method
* GMMCP tracker: Globally optimal Generalized Maximum Multi Clique problem for multiple object tracking
* Going deeper with convolutions
* Good features to track for visual SLAM
* Graph-based simplex method for pairwise energy minimization with binary variables
* graphical model approach for matching partial signatures, A
* Grasp type revisited: A modern perspective on a classical feature for vision
* GRSA: Generalized range swap algorithm for the efficient optimization of MRFs
* Handling motion blur in multi-frame super-resolution
* Hardware compliant approximate image codes
* Hashing with binary autoencoders
* HC-search for structured prediction in computer vision
* Heat diffusion over weighted manifolds: A new descriptor for textured 3D non-rigid shapes
* Heteroscedastic max-min distance analysis
* Hierarchical Recurrent Neural Network for Skeleton Based Action Recognition
* Hierarchical sparse coding with geometric prior for visual geo-location
* Hierarchical-PEP model for real-world face recognition
* Hierarchically-constrained optical flow
* High-fidelity Pose and Expression Normalization for face recognition in the wild
* High-speed hyperspectral video acquisition with a dual-camera architecture
* Holistic 3D scene understanding from a single geo-tagged image
* How do we use our hands? Discovering a diverse set of common grasps
* How many bits does it take for a stimulus to be salient?
* Human action segmentation with hierarchical supervoxel consistency
* Hyper-class augmented and regularized deep learning for fine-grained image classification
* Hypercolumns for object segmentation and fine-grained localization
* Illumination and reflectance spectra separation of a hyperspectral image meets low-rank matrix factorization
* Image denoising via adaptive soft-thresholding based on non-local samples
* Image parsing with a wide range of classes and scene-level context
* Image partitioning into convex polygons
* Image retrieval using scene graphs
* Image segmentation in Twenty Questions
* Image specificity
* improved deep learning architecture for person re-identification, An
* Improving object detection with deep convolutional networks via Bayesian optimization and structured prediction
* Improving object proposals with multi-thresholding straddling expansion
* In defense of color-based model-free tracking
* Indoor scene structure analysis for single image depth estimation
* Inferring 3D layout of building facades from a single image
* Integrating parametric and non-parametric models for scene labeling
* Interaction part mining: A mid-level approach for fine-grained action recognition
* Interleaved text/image Deep Mining on a large-scale radiology database
* Intra-frame deblurring by leveraging inter-frame camera motion
* Inverting RANSAC: Global model detection via inlier rate estimation
* Is object localization for free? - Weakly-supervised learning with convolutional neural networks
* Iteratively reweighted graph cut for multi-label MRFs with non-convex priors
* Joint action recognition and pose estimation from video
* Joint calibration of Ensemble of Exemplar SVMs
* Joint inference of groups, events and human roles in aerial videos
* Joint multi-feature spatial context for scene recognition in the semantic manifold
* Joint patch and multi-label learning for facial action unit detection
* Joint photo stream and blog post summarization and exploration
* Joint SFM and detection cues for monocular 3D localization in road scenes
* Joint tracking and segmentation of multiple targets
* Joint vanishing point extraction and tracking
* Jointly Learning Heterogeneous Features for RGB-D Activity Recognition
* JOTS: Joint Online Tracking and Segmentation
* Just noticeable defocus blur detection and estimation
* k-support norm and convex envelopes of cardinality and rank, The
* Kernel fusion for better image deblurring
* KL divergence based agglomerative clustering for automated Vitiligo grading
* Label Consistent Quadratic Surrogate model for visual saliency prediction
* Landmarks-based kernelized subspace alignment for unsupervised domain adaptation
* Large-scale and drift-free surface reconstruction using online subvolume registration
* large-scale car dataset for fine-grained categorization and verification, A
* Large-scale damage detection using satellite imagery
* Latent trees for estimating intensity of Facial Action Units
* Layered RGBD scene flow estimation
* Learning a convolutional neural network for non-uniform motion blur removal
* Learning a non-linear knowledge transfer model for cross-view action recognition
* Learning a sequential search for landmarks
* Learning an efficient model of hand shape variation from depth images
* Learning coarse-to-fine sparselets for efficient object detection and scene classification
* Learning deep representations for ground-to-aerial geolocalization
* Learning descriptors for object recognition and 3D pose estimation
* Learning from massive noisy labeled data for image classification
* Learning graph structure for multi-label image classification via clique generation
* Learning Hypergraph-regularized Attribute Predictors
* Learning lightness from human judgement on relative reflectance
* Learning multiple visual tasks while discovering their structure
* Learning scene-specific pedestrian detectors without real data
* Learning semantic relationships for better action retrieval in images
* Learning similarity metrics for dynamic scene segmentation
* Learning to compare image patches via convolutional neural networks
* Learning to detect Motion Boundaries
* Learning to generate chairs with convolutional neural networks
* Learning to look up: Realtime monocular gaze correction using machine learning
* Learning to propose objects
* Learning to rank in person re-identification with metric ensembles
* Learning to segment moving objects in videos
* Learning to segment under various forms of weak supervision
* Learning with dataset bias in latent subcategory models
* Leveraging stereo matching with learning-based confidence measures
* Light field from micro-baseline image pair
* Light field layer matting
* light transport model for mitigating multipath interference in Time-of-flight sensors, A
* Line drawing interpretation in a multi-view context
* Line-based Multi-Label Energy Optimization for fisheye image rectification and calibration
* Line-sweep: Cross-ratio for wide-baseline matching and 3D reconstruction
* linear least-squares solution to elastic Shape-from-Template, A
* LMI-based 2D-3D registration: From uncalibrated images to Euclidean scene
* Local high-order regularization on data manifolds
* Long-term correlation tracking
* Long-Term Recurrent Convolutional Networks for Visual Recognition and Description
* low-dimensional step pattern analysis algorithm with application to multimodal retinal image registration, A
* Low-level vision by consensus in a spatial hierarchy of regions
* L_0TV: A new method for image restoration in the presence of impulse noise
* Making better use of edges via perceptual grouping
* Mapping visual features to semantic profiles for retrieval in medical imaging
* Matching bags of regions in RGBD images
* Matching-CNN meets KNN: Quasi-parametric human parsing
* MatchNet: Unifying feature and metric learning for patch-based matching
* Material classification with thermal imagery
* Material recognition in the wild with the Materials in Context Database
* Matrix completion for resolving label ambiguity
* maximum entropy feature descriptor for age invariant face recognition, A
* Maximum persistency via iterative relaxed inference with graphical models
* Membership representation for detecting block-diagonal structure in low-rank or sparse subspace clustering
* Metric imitation by manifold transfer for efficient vision applications
* metric parametrization for trifocal tensors with non-colinear pinholes, A
* Mid-level deep pattern mining
* Mind's eye: A recurrent visual representation for image caption generation
* Mining semantic affordances of visual object categories
* Mirror, mirror on the wall, tell me, is the error small?
* mixed bag of emotions: Model, predict, and transfer emotion distributions, A
* Model recommendation: Generating object detectors from few samples
* Modeling deformable gradient compositions for single-image super-resolution
* Modeling local and global deformations in Deep Learning: Epitomic convolution, Multiple Instance Learning, and sliding window detection
* Modeling object appearance using Context-Conditioned Component Analysis
* Modeling video evolution for action recognition
* More about VLAD: A leap from Euclidean to Riemannian manifolds
* Motion Part Regularization: Improving action recognition via trajectory group selection
* MRF optimization by graph approximation
* MRF shape prior for facade parsing with occlusions, A
* Multi-feature max-margin hierarchical Bayesian model for action recognition
* Multi-instance object segmentation with occlusion handling
* Multi-manifold deep metric learning for image set classification
* Multi-objective convolutional learning for face labeling
* multi-plane block-coordinate frank-wolfe algorithm for training structural SVMs with a costly max-oracle, A
* MUlti-Store Tracker (MUSTer): A cognitive psychology inspired approach to object tracking
* Multi-task deep visual-semantic embedding for video thumbnail selection
* Multi-view feature engineering and learning
* Multiclass semantic video segmentation with object-level active inference
* Multihypothesis trajectory analysis for robust visual tracking
* Multiple instance learning for soft bags via top instances
* Multiple random walkers and their application to image cosegmentation
* Multispectral pedestrian detection: Benchmark dataset and baseline
* Nested motion descriptors
* Neuroaesthetics in fashion: Modeling the perception of fashionability
* New insights into Laplacian similarity search
* new retraction for accelerating the Riemannian three-factor low-rank matrix completion algorithm, A
* Non-rigid registration of images with geometric and photometric deformation by using local affine Fourier-moment matching
* novel locally linear KNN model for visual recognition, A
* Object detection by labeling superpixels
* Object proposal by multi-branch hierarchical segmentation
* Object scene flow for autonomous vehicles
* Object-based RGBD image co-segmentation with mutex constraint
* On learning optimized reaction diffusion processes for effective image restoration
* On pairwise costs for network flow multi-object tracking
* On the appearance of translucent edges
* On the minimal problems of low-rank matrix factorization
* On the relationship between visual attributes and convolutional networks
* One-day outdoor photometric stereo via skylight estimation
* Online sketching hashing
* Ontological supervision for fine grained classification of Street View storefronts
* Optimal graph learning with partial tags and multiple features for image and video annotation
* Oriented edge forests for boundary detection
* P3.5P: Pose estimation with unknown focal length
* PAIGE: PAirwise Image Geometry Encoding for improved efficiency in Structure-from-Motion
* Pairwise geometric matching for large-scale object retrieval
* Parsing occluded people by flexible compositions
* Part-based modelling of compound scenes from images
* PatchCut: Data-driven object segmentation via local shape transfer
* Pedestrian Detection Aided by Deep Learning Semantic Tasks
* Person count localization in videos from noisy foreground and detections
* Person re-identification by Local Maximal Occurrence representation and metric learning
* Phase-based frame interpolation for video
* Photometric refinement of depth maps for multi-albedo objects
* Photometric stereo with near point lighting: A solution by mesh deformation
* Picture: A probabilistic programming language for scene perception
* Pooled motion features for first-person videos
* Pose-conditioned joint angle limits for 3D human pose reconstruction
* Practical robust two-view translation estimation
* Predicting eye fixations using convolutional neural networks
* Predicting the future behavior of a time-varying probability distribution
* Prediction of search targets from fixations in open-world settings
* Privacy preserving optics for miniature vision sensors
* Probability occupancy maps for occluded depth images
* Project-Out Cascaded Regression with an application to face alignment
* Projection Metric Learning on Grassmann Manifold with Application to Video based Face Recognition
* Propagated image filtering
* Protecting against screenshots: An image processing approach
* Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A
* Query-adaptive late fusion for image search and person re-identification
* R6P: Rolling shutter absolute pose problem
* Radial distortion homography
* Random tree walk toward instantaneous 3D human pose estimation
* Ranking and retrieval of image sequences from multiple paragraph queries
* Real-time 3D head pose and facial landmark estimation from depth images using triangular surface patch features
* Real-time coarse-to-fine topologically preserving segmentation
* Real-time joint estimation of camera orientation and vanishing points
* Real-time part-based visual tracking via adaptive correlation filters
* Real-time visual analysis of microvascular blood flow for critical care
* Recognize complex events from static images by fusing deep channels
* Reconstructing the world* in six days
* Recovering inner slices of translucent objects by multi-frequency illumination
* Recurrent convolutional neural network for object recognition
* Reflectance hashing for material recognition
* Reflection removal for in-vehicle black box videos
* Reflection removal using ghosting cues
* Region-based temporally consistent video post-processing
* Regularizing max-margin exemplars by reconstruction and generative models
* Reliable Patch Trackers: Robust visual tracking by exploiting reliable patches
* Rent3D: Floor-plan priors for monocular layout estimation
* Representing 3D texture on mesh manifolds for retrieval and recognition applications
* Revisiting kernelized locality-sensitive hashing for improved large-scale image retrieval
* Reweighted laplace prior based hyperspectral compressive sensing for unknown sparsity
* RGBD-fusion: Real-time high precision depth recovery
* Riemannian coding and dictionary learning: Kernels to the rescue
* Robust camera location estimation by convex programming
* Robust image alignment with multiple feature descriptors and matching-guided neighborhoods
* Robust image filtering using joint static and dynamic guidance
* Robust large scale monocular visual SLAM
* Robust Manhattan Frame estimation from a single RGB-D image
* Robust multi-image based blind face hallucination
* Robust multiple homography estimation: An ill-solved problem
* Robust reconstruction of indoor scenes
* Robust regression on image manifolds for ordered label denoising
* Robust saliency detection via regularized random walks ranking
* Robust video segment proposals with painless occlusion handling
* Rolling shutter motion deblurring
* Rotating your face using multi-task deep neural network
* S-HOCK dataset: Analyzing crowds at the stadium, The
* SALICON: Saliency in Context
* Saliency detection by multi-context deep learning
* Saliency detection via Cellular Automata
* Saliency propagation from simple to difficult
* Saliency-aware geodesic video object segmentation
* Salient object detection via bootstrap learning
* Salient Object Subitizing
* Saturation-preserving specular reflection separation
* Scalable object detection by filter compression with regularized sparse coding
* Scalable structure from motion for densely sampled videos
* Scene classification with semantic Fisher vectors
* Scene labeling with LSTM recurrent neural networks
* Second-order constrained parametric proposals and sequential search-based structured prediction for semantic segmentation in RGB-D images
* segDeepM: Exploiting segmentation and context in deep neural networks for object detection
* Segment based 3D object shape priors
* Self Scaled Regularized Robust Regression
* Semantic alignment of LiDAR data at city scale
* Semantic object segmentation via detection in weakly labeled video
* Semantic part segmentation using compositional model combining shape and appearance
* Semantics-preserving hashing for cross-view retrieval
* Semi-supervised Domain Adaptation with Subspace Learning for visual recognition
* Semi-supervised learning with explicit relationship regularization
* Semi-supervised low-rank mapping learning for multi-label classification
* Sense discovery via co-clustering on images and text
* Separating objects and clutter in indoor scenes
* Shadow optimization from structured deep edge detection
* Shape and light directions from shading and polarization
* Shape driven kernel adaptation in Convolutional Neural Network for robust facial trait recognition
* Shape-based automatic detection of a large number of 3D facial landmarks
* Shape-from-Template in Flatland
* Shape-tailored local descriptors and their application to segmentation and tracking
* Show and tell: A neural image caption generator
* Similarity learning on an explicit polynomial kernel feature map for person re-identification
* Simplified mirror-based camera pose computation via rotation averaging
* Simulating makeup through physics-based manipulation of intrinsic image layers
* Simultaneous feature learning and hash coding with deep neural networks
* Simultaneous pose and non-rigid shape with particle dynamics
* Simultaneous Time-of-Flight sensing and photometric stereo with a single ToF sensor
* Simultaneous video defogging and stereo reconstruction
* Single image super-resolution from transformed self-exemplars
* Single target tracking using adaptive clustered decision trees and dynamic multi-level appearance models
* Single-image estimation of the camera response function in near-lighting
* Situational object boundary detection
* Sketch-based 3D shape retrieval using Convolutional Neural Networks
* Small instance detection by integer programming on object density maps
* Small-variance nonparametric clustering on the hypersphere
* Social saliency prediction
* SOLD: Sub-optimal low-rank decomposition for efficient video segmentation
* solution for multi-alignment by transformation synchronisation, A
* Solving multiple square jigsaw puzzles with missing pieces
* SOM: Semantic obviousness metric for image quality assessment
* Space-time tree ensemble for action recognition
* Sparse composite quantization
* Sparse Convolutional Neural Networks
* Sparse depth super resolution
* Sparse projections for high-dimensional binary codes
* Sparse representation classification with manifold constraints transfer
* Spherical embedding of inlier silhouette dissimilarities
* stable multi-scale kernel for topological machine learning, A
* Statistical inference models for image datasets with systematic variations
* statistical model of Riemannian metric variation for deformable shape analysis, A
* stitched puppet: A graphical model of 3D human shape and pose, The
* Structural Sparse Tracking
* Structured Sparse Subspace Clustering: A unified optimization framework
* Subgraph decomposition for multi-target tracking
* Subgraph matching using compactness prior for robust feature correspondence
* Subspace clustering by Mixture of Gaussian Regression
* SUN RGB-D: A RGB-D scene understanding benchmark suite
* Super-Resolution Person Re-Identification with Semi-Coupled Low-Rank Discriminant Dictionary Learning
* Superdifferential cuts for binary energies
* Superpixel meshes for fast edge-preserving surface reconstruction
* Superpixel segmentation using Linear Spectral Clustering
* Superpixel-based video object segmentation using perceptual organization and location prior
* Supervised descriptor learning for multi-output regression
* Supervised Discrete Hashing
* Supervised mid-level features for word image representation
* SWIFT: Sparse Withdrawal of Inliers in a First Trial
* Symmetry-based text line detection in natural scenes
* Taking a deeper look at pedestrians
* Target Identity-aware Network Flow for online multiple target tracking
* Temporally coherent interpretations for long videos using pattern theory
* Texture representations for image and video synthesis
* Three viewpoints toward exemplar SVM
* TILDE: A Temporally Invariant Learned DEtector
* Time-to-contact from image intensity
* Total variation regularization of shape signals
* Toward user-specific tracking by detection of human shapes in multi-cameras
* Towards 3D object detection with bimodal deep Boltzmann machines over RGBD imagery
* Towards force sensing from vision: Observing hand-object interactions to infer manipulation forces
* Towards Open World Recognition
* Towards unified depth and semantic prediction from a single image
* Traditional saliency reloaded: A good old model in new shape
* Transferring a semantic representation for person re-identification and search
* Transformation of Markov Random Fields for marginal distribution estimation
* Transformation-Invariant Convolutional Jungles
* Transport-based single frame super resolution of very low resolution face images
* treasure beneath convolutional layers: Cross-convolutional-layer pooling for image classification, The
* Tree quantization for large-scale similarity search and classification
* TVSum: Summarizing web videos using titles
* Uncalibrated photometric stereo based on elevation angle recovery from BRDF symmetry of isotropic materials
* Unconstrained 3D face reconstruction
* Unconstrained realtime facial performance capture
* Understanding classifier errors by examining influential neighbors
* Understanding deep image representations by inverting them
* Understanding Image Representations by Measuring Their Equivariance and Equivalence
* Understanding image structure via hierarchical shape parsing
* Understanding image virality
* Understanding pedestrian behaviors from stationary crowd groups
* Understanding tools: Task-oriented object modeling, learning and recognition
* Unifying holistic and Parts-Based Deformable Model fitting
* UniHIST: A unified framework for image restoration with marginal histogram constraints
* Unsupervised learning of complex articulated kinematic structures combining motion and skeleton information
* Unsupervised object discovery and localization in the wild: Part-based matching with bottom-up region proposals
* Unsupervised Simultaneous Orthogonal basis Clustering Feature Selection
* Unsupervised visual alignment with similarity graphs
* Video anomaly detection and localization using hierarchical feature representation and Gaussian process regression
* Video co-summarization: Video summarization by visual co-occurrence
* Video event recognition with deep hierarchical context model
* Video magnification in presence of large motions
* Video summarization by learning submodular mixtures of objectives
* Viewpoints and keypoints
* VIP: Finding important people in images
* Virtual view networks for object reconstruction
* VisKE: Visual knowledge extraction and question answering by visual verification of relation phrases
* Visual recognition by counting instances: A multi-instance cardinality potential kernel
* Visual recognition by learning from web data: A weakly supervised domain generalization approach
* Visual saliency based on multiscale deep features
* Visual Vibrometry: Estimating Material Properties from Small Motions in Video
* Watch and learn: Semi-supervised learning of object detectors from videos
* Watch-n-patch: Unsupervised understanding of actions and relations
* Weakly supervised localization of novel objects using appearance transfer
* Weakly supervised object detection with convex clustering
* Weakly supervised semantic segmentation for social images
* Web scale photo hash clustering on a single machine
* Web-scale training for face identification
* weighted sparse coding framework for saliency detection, A
* What do 15,000 object categories tell us about classifying and localizing actions?
* Zero-shot object recognition by semantic manifold distance
603 for CVPR15

CVPR16 * *CVPR
* 3D Action Recognition from Novel Viewpoints
* 3D Morphable Model Learnt from 10,000 Faces, A
* 3D Part-Based Sparse Tracker with Automatic Synchronization and Registration
* 3D Reconstruction of Transparent Objects with Position-Normal Consistency
* 3D Semantic Parsing of Large-Scale Indoor Spaces
* 3D Shape Attributes
* 6D Dynamic Camera Relocalization from Single Reference Image
* Accelerated Generative Models for 3D Point Cloud Data
* Accumulated Stability Voting: A Robust Descriptor from Descriptors of Multiple Scales
* Accurate Image Super-Resolution Using Very Deep Convolutional Networks
* Action Recognition in Video Using Sparse Coding and Relative Features
* Actionness Estimation Using Hybrid Fully Convolutional Networks
* Actions ~ Transformations
* Active Image Segmentation Propagation
* Active Learning for Delineation of Curvilinear Structures
* Actor-Action Semantic Segmentation with Grouping Process Models
* Adaptive 3D Face Reconstruction from Unconstrained Photo Collections
* Adaptive Decontamination of the Training Set: A Unified Formulation for Discriminative Visual Tracking
* Adaptive Object Detection Using Adjacency and Zoom Prediction
* Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding
* Aggregating Image and Text Quantized Correlated Components
* Ambiguity Helps: Classification with Disagreements in Crowdsourced Annotations
* Amplitude Modulated Video Camera: Light Separation in Dynamic Scenes
* Analyzing Classifiers: Fisher Vectors and Deep Neural Networks
* Answer-Type Prediction for Visual Question Answering
* Anticipating Visual Representations from Unlabeled Video
* Approximate Log-Hilbert-Schmidt Distances between Covariance Operators for Image Classification
* Ask Me Anything: Free-Form Visual Question Answering Based on Knowledge from External Sources
* ASP Vision: Optically Computing the First Layer of Convolutional Neural Networks Using Angle Sensitive Pixels
* Attention to Scale: Scale-Aware Semantic Image Segmentation
* Augmented Blendshapes for Real-Time Simultaneous 3D Head Modeling and Facial Motion Capture
* Automated 3D Face Reconstruction from Multiple Images Using Quality Measures
* Automatic Content-Aware Color and Tone Stylization
* Automatic Fence Segmentation in Videos of Dynamic Scenes
* Automatic Image Cropping: A Computational Complexity Study
* Automating Carotid Intima-Media Thickness Video Interpretation with Convolutional Neural Networks
* Backtracking ScSPM Image Classifier for Weakly Supervised Top-Down Saliency
* Benchmark Dataset and Evaluation for Non-Lambertian and Uncalibrated Photometric Stereo, A
* Benchmark Dataset and Evaluation Methodology for Video Object Segmentation, A
* Beyond F-Formations: Determining Social Involvement in Free Standing Conversing Groups from Static Images
* Beyond Local Search: Tracking Objects Everywhere with Instance-Specific Proposals
* Bilateral Space Video Segmentation
* Blind Image Deblurring Using Dark Channel Prior
* Blind Image Deconvolution by Automatic Gradient Activation
* Blockout: Dynamic Model Selection for Hierarchical Deep Networks
* BORDER: An Oriented Rectangles Approach to Texture-Less Object Recognition
* Bottom-Up and Top-Down Reasoning with Hierarchical Rectified Gaussians
* BoxCars: 3D Boxes as CNN Input for Improved Fine-Grained Vehicle Recognition
* Camera Calibration from Dynamic Silhouettes Using Motion Barcodes
* Camera Calibration from Periodic Motion of a Pedestrian
* Canny Text Detector: Fast and Robust Scene Text Localization Algorithm
* Cascaded Interactional Targeting Network for Egocentric Video Analysis
* Cataloging Public Objects Using Aerial and Street-Level Images: Urban Trees
* Cityscapes Dataset for Semantic Urban Scene Understanding, The
* Closed-Form Training of Mahalanobis Distance for Supervised Clustering
* CNN-N-Gram for Handwriting Word Recognition
* CNN-RNN: A Unified Framework for Multi-label Image Classification
* Coherent Parametric Contours for Interactive Video Object Segmentation
* Collaborative Quantization for Cross-Modal Similarity Search
* CoMaL: Good Features to Match on Object Boundaries
* Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis
* Compact Bilinear Pooling
* Comparative Deep Learning of Hybrid Representations for Image Recommendations
* Comparative Study for Single Image Blind Deblurring, A
* Composition-Preserving Deep Photo Aesthetics Assessment
* Computational Imaging for VLBI Image Reconstruction
* Conditional Graphical Lasso for Multi-label Image Classification
* Conformal Surface Alignment with Optimal Mobius Search
* Consensus of Non-rigid Reconstructions
* Consensus-Based Framework for Distributed Bundle Adjustment, A
* Consistency of Silhouettes and Their Duals
* Constrained Deep Transfer Feature Learning and Its Applications
* Constrained Joint Cascade Regression Framework for Simultaneous Facial Action Unit Recognition and Facial Landmark Detection
* Constructing Canonical Regions for Fast and Effective View Selection
* Context Encoders: Feature Learning by Inpainting
* Context-Aware Gaussian Fields for Non-rigid Point Set Registration
* Continuous Occlusion Model for Road Scene Understanding, A
* Contour Detection in Unstructured 3D Point Clouds
* Convexity Shape Constraints for Image Segmentation
* Convolutional Networks for Shape from Light Field
* Convolutional Pose Machines
* Convolutional Two-Stream Network Fusion for Video Action Recognition
* Coordinating Multiple Disparity Proposals for Stereo Computation
* Copula Ordinal Regression for Joint Estimation of Facial Action Unit Intensity
* Coupled Harmonic Bases for Longitudinal Characterization of Brain Networks
* CP-mtML: Coupled Projection Multi-Task Metric Learning for Large Scale Face Retrieval
* CRAFT Objects from Images
* Cross Modal Distillation for Supervision Transfer
* Cross-Stitch Networks for Multi-task Learning
* D3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images
* DAG-Recurrent Neural Networks for Scene Labeling
* DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation
* Deep Canonical Time Warping
* Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data
* Deep Contrast Learning for Salient Object Detection
* Deep Decision Network for Multi-class Image Classification
* Deep Exemplar 2D-3D Detection by Adapting from Real to Rendered Views
* Deep Gaussian Conditional Random Field Network: A Model-Based Deep Network for Discriminative Denoising
* Deep Hand: How to Train a CNN on 1 Million Hand Images When Your Data is Continuous and Weakly Labelled
* Deep Interactive Object Selection
* Deep Metric Learning via Lifted Structured Feature Embedding
* Deep Reflectance Maps
* Deep Region and Multi-label Learning for Facial Action Unit Detection
* Deep Relative Distance Learning: Tell the Difference between Similar Vehicles
* Deep Residual Learning for Image Recognition
* Deep Saliency with Encoded Low Level Distance Map and High Level Features
* Deep SimNets
* Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images
* Deep Stereo: Learning to Predict New Views from the World's Imagery
* Deep Structured Scene Parsing by Learning with Image Descriptions
* Deep Supervised Hashing for Fast Image Retrieval
* DeepCAMP: Deep Convolutional Action Attribute Mid-Level Patterns
* DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation
* Deeper Look at Saliency: Feature Contrast, Semantics, and Beyond, A
* DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations
* DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks
* DeepHand: Robust Hand Pose Estimation by Completing a Matrix Imputed with Deep Features
* Deeply-Recursive Convolutional Network for Image Super-Resolution
* DeLay: Robust Spatial Layout Estimation for Cluttered Indoor Scenes
* Dense Human Body Correspondences Using Convolutional Networks
* Dense Monocular Depth Estimation in Complex Dynamic Scenes
* DenseCap: Fully Convolutional Localization Networks for Dense Captioning
* Depth from Semi-Calibrated Stereo and Defocus
* Detecting Events and Key Actors in Multi-person Videos
* Detecting Migrating Birds at Night
* Detecting Repeating Objects Using Patch Correlation Analysis
* Detecting Vanishing Points Using Global Image Context in a Non-ManhattanWorld
* Detection and Accurate Localization of Circular Fiducials under Highly Challenging Conditions
* Determining Occlusions from Space and Time Image Reconstructions
* DHSNet: Deep Hierarchical Saliency Network for Salient Object Detection
* Dictionary Pair Classifier Driven Convolutional Neural Networks for Object Detection
* Direct Least-Squares Solution to the PnP Problem with Unknown Focal Length, A
* Direct Prediction of 3D Body Poses from Motion Compensated Sequences
* Discovering the Physical Parts of an Articulated Object Class from Multiple Videos
* Discriminative Hierarchical Rank Pooling for Activity Recognition
* Discriminative Invariant Kernel Features: A Bells-and-Whistles-Free Approach to Unsupervised Face Recognition and Pose Estimation
* Discriminative Multi-modal Feature Fusion for RGBD Indoor Scene Recognition
* Discriminatively Embedded K-Means for Multi-view Clustering
* DisturbLabel: Regularizing CNN on the Loss Layer
* Do Computational Models Differ Systematically from Human Object Perception?
* Do It Yourself Hyperspectral Imaging with Everyday Digital Cameras
* Dual-Source Approach for 3D Pose Estimation from a Single Image, A
* Dynamic Image Networks for Action Recognition
* Efficient 3D Room Shape Recovery from a Single Panorama
* Efficient and Robust Color Consistency for Community Photo Collections
* Efficient Coarse-to-Fine Patch Match for Large Displacement Optical Flow
* Efficient Deep Learning for Stereo Matching
* Efficient Exact-PGA Algorithm for Constant Curvature Manifolds, An
* Efficient Globally Optimal 2D-to-3D Deformable Shape Matching
* Efficient Indexing of Billion-Scale Datasets of Deep Descriptors
* Efficient Intersection of Three Quadrics and Applications in Computer Vision
* Efficient Large-Scale Approximate Nearest Neighbor Search on the GPU
* Efficient Large-Scale Similarity Search Using Matrix Factorization
* Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation
* Efficient Point Process Inference for Large-Scale Object Detection
* Efficient Temporal Sequence Comparison and Classification Using Gram Matrix Embeddings on a Riemannian Manifold
* Efficient Training of Very Deep Neural Networks for Supervised Hashing
* Efficiently Creating 3D Training Data for Fine Hand Pose Estimation
* Egocentric Future Localization
* Egocentric Look at Video Photographer Identity, An
* Embedding Label Structures for Fine-Grained Feature Representation
* EmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the Wild
* Empirical Evaluation of Current Convolutional Architectures: Ability to Manage Nuisance Location and Scale Variability, An
* End-to-End Learning of Action Detection from Frame Glimpses in Videos
* End-to-End Learning of Deformable Mixture of Parts and Deep Convolutional Neural Networks for Human Pose Estimation
* End-to-End People Detection in Crowded Scenes
* End-to-End Saliency Mapping via Probability Distribution Prediction
* Equiangular Kernel Dictionary Learning with Applications to Dynamic Texture Analysis
* Estimating Correspondences of Deformable Objects In-the-Wild
* Estimating Sparse Signals with Smooth Support via Convex Programming and Block Sparsity
* Event-Specific Image Importance
* Exemplar-Driven Top-Down Saliency Detection via Deep Association
* Exploit All the Layers: Fast and Accurate CNN Object Detector with Scale Dependent Pooling and Cascaded Rejection Classifiers
* Exploit Bounding Box Annotations for Multi-Label Object Recognition
* Exploiting Spectral-Spatial Correlation for Coded Hyperspectral Image Restoration
* Eye Tracking for Everyone
* Face Alignment Across Large Poses: A 3D Solution
* Face2Face: Real-Time Face Capture and Reenactment of RGB Videos
* Facial Expression Intensity Estimation Using Ordinal Information
* Factors in Finetuning Deep Model for Object Detection with Long-Tail Distribution
* FANNG: Fast Approximate Nearest Neighbour Graphs
* Fashion Style in 128 Floats: Joint Ranking and Classification Using Weak Data for Feature Extraction
* Fast Algorithms for Convolutional Neural Networks
* Fast Algorithms for Linear and Kernel SVM+
* Fast ConvNets Using Group-Wise Brain Damage
* Fast Detection of Curved Edges at Low SNR
* Fast Temporal Activity Proposals for Efficient Detection of Human Actions in Untrimmed Videos
* Fast Training of Triplet-Based Deep Binary Embedding Networks
* Fast Zero-Shot Image Tagging
* Feature Space Optimization for Semantic Video Segmentation
* Field Model for Repairing 3D Shapes, A
* Fine-Grained Categorization and Dataset Bootstrapping Using Deep Metric Learning with Humans in the Loop
* Fine-Grained Image Classification by Exploring Bipartite-Graph Labels
* FireCaffe: Near-Linear Acceleration of Deep Neural Network Training on Compute Clusters
* First Person Action Recognition Using Deep Learned Descriptors
* Fits Like a Glove: Rapid and Reliable Hand Shape Personalization
* Force from Motion: Decoding Physical Sensation in a First Person Video
* ForgetMeNot: Memory-Aware Forensic Facial Sketch Matching
* From Bows to Arrows: Rolling Shutter Rectification of Urban Scenes
* From Dusk Till Dawn: Modeling in the Dark
* From Keyframes to Key Objects: Video Summarization by Representative Object Proposal Selection
* From Noise Modeling to Blind Image Denoising
* Full Flow: Optical Flow Estimation By Global Optimization over Regular Grids
* Functional Faces: Groupwise Dense Correspondence Using Functional Maps
* G-CNN: An Iterative Grid Based Object Detector
* Gaussian Conditional Random Field Network for Semantic Segmentation
* Generation and Comprehension of Unambiguous Object Descriptions
* Geometry-Informed Material Recognition
* Geospatial Correspondences for Multimodal Registration
* GIFT: A Real-Time and Scalable 3D Shape Search Engine
* Global Patch Collider, The
* Globally Optimal Manhattan Frame Estimation in Real-Time
* Globally Optimal Rigid Intensity Based Registration: A Fast Fourier Domain Approach
* GOGMA: Globally-Optimal Gaussian Mixture Alignment
* Going Deeper into First-Person Activity Recognition
* GraB: Visual Saliency via Novel Graph Model and Background Priors
* Gradient-Domain Image Reconstruction Framework with Intensity-Range and Base-Structure Constraints
* Gradual DropIn of Layers to Train Very Deep Neural Networks
* Gravitational Approach for Point Set Registration
* Group MAD Competition? A New Methodology to Compare Objective Image Quality Models
* Groupwise Tracking of Crowded Similar-Appearance Targets from Low-Continuity Image Sequences
* Guaranteed Outlier Removal with Mixed Integer Linear Programs
* Harnessing Object and Scene Semantics for Large-Scale Video Understanding
* HD Maps: Fine-Grained Road Segmentation by Parsing Ground and Aerial Images
* Hedged Deep Tracking
* Hedgehog Shape Priors for Multi-Object Segmentation
* Heterogeneous Light Fields
* Hierarchical Deep Temporal Model for Group Activity Recognition, A
* Hierarchical Gaussian Descriptor for Person Re-identification
* Hierarchical Pose-Based Approach to Complex Action Understanding Using Dictionaries of Actionlets and Motion Poselets, A
* Hierarchical Recurrent Neural Encoder for Video Representation with Application to Captioning
* Hierarchically Gated Deep Networks for Semantic Segmentation
* High-Quality Depth from Uncalibrated Small Motion Clip
* Highlight Detection with Pairwise Deep Ranking for First-Person Video Summarization
* Highway Vehicle Counting in Compressed Domain
* Hole Filling Approach Based on Background Reconstruction for View Synthesis in 3D Video, A
* Holistic Approach to Cross-Channel Image Noise Modeling and Its Application to Image Denoising, A
* Homography Estimation from the Common Self-Polar Triangle of Separate Ellipses
* How Far are We from Solving Pedestrian Detection?
* How Hard Can It Be? Estimating the Difficulty of Visual Search in an Image
* Human Pose Estimation with Iterative Error Feedback
* HyperDepth: Learning Depth from Structured Light without Matching
* HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection
* Identifying Good Training Data for Self-Supervised Free Space Estimation
* iLab-20M: A Large-Scale Controlled Object Dataset to Investigate Deep Learning
* Image Captioning with Semantic Attention
* Image Deblurring Using Smartphone Inertial Sensors
* Image Question Answering Using Convolutional Neural Network with Dynamic Parameter Prediction
* Image Style Transfer Using Convolutional Neural Networks
* Improved Hamming Distance Search Using Variable Length Hashing
* Improving Human Action Recognition by Non-action Classification
* Improving Person Re-identification via Pose-Aware Multi-shot Matching
* Improving the Robustness of Deep Neural Networks via Stability Training
* In Defense of Sparse Tracking: Circulant Sparse Tracker
* In the Shadows, Shape Priors Shine: Using Occlusion to Improve Multi-region Segmentation
* Incremental Object Discovery in Time-Varying Image Collections
* Inextensible Non-Rigid Shape-from-Motion by Second-Order Cone Programming
* Inferring Forces and Learning Human Utilities from Videos
* Information Bottleneck Learning Using Privileged Information for Visual Recognition
* Information-Driven Adaptive Structured-Light Scanners
* Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks
* Instance-Aware Semantic Segmentation via Multi-task Network Cascades
* Instance-Level Segmentation for Autonomous Driving with Deep Densely Connected MRFs
* Instance-Level Video Segmentation from Object Tracks
* Interactive Segmentation on RGBD Images via Cue Selection
* InterActive: Inter-Layer Activeness Propagation
* Inverting Visual Representations with Convolutional Networks
* Isometric Non-rigid Shape-from-Motion in Linear Time
* Iterative Instance Segmentation
* Joint Learning of Single-Image and Cross-Image Representations for Person Re-identification
* Joint Multiview Segmentation and Localization of RGB-D Images Using Depth-Induced Silhouette Consistency
* Joint Probabilistic Matching Using m-Best Solutions
* Joint Recovery of Dense Correspondence and Cosegmentation in Two Images
* Joint Training of Cascaded CNN for Face Detection
* Joint Unsupervised Deformable Spatio-Temporal Alignment of Sequences
* Joint Unsupervised Learning of Deep Representations and Image Clusters
* Jointly Modeling Embedding and Translation to Bridge Video and Language
* Just Look at the Image: Viewpoint-Specific Surface Normal Prediction for Improved Multi-View Reconstruction
* Kernel Approximation via Empirical Orthogonal Decomposition for Unsupervised Feature Learning
* Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds
* Key Volume Mining Deep Framework for Action Recognition, A
* Kinematic Structure Correspondences via Hypergraph Matching
* Laplacian Patch-Based Image Synthesis
* Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation, A
* Large Scale Hard Sample Mining with Monte Carlo Tree Search
* Large Scale Semi-Supervised Object Detection Using Visual and Semantic Knowledge Transfer
* Large-Pose Face Alignment via CNN-Based Dense 3D Model Fitting
* Large-Scale Location Recognition and the Geometric Burstiness Problem
* Large-Scale Semantic 3D Reconstruction: An Adaptive Multi-resolution Model for Multi-class Volumetric Labeling
* Latent Embeddings for Zero-Shot Classification
* Latent Factor Guided Convolutional Neural Networks for Age-Invariant Face Recognition
* Latent Variable Graphical Model Selection Using Harmonic Analysis: Applications to the Human Connectome Project (HCP)
* Layered Scene Decomposition via the Occlusion-CRF
* Learned Binary Spectral Shape Descriptor for 3D Shape Correspondence
* Learning a Discriminative Null Space for Person Re-identification
* Learning Action Maps of Large Environments via First-Person Vision
* Learning Activity Progression in LSTMs for Activity Detection and Early Detection
* Learning Aligned Cross-Modal Representations from Weakly Aligned Data
* Learning Attributes Equals Multi-Source Domain Generalization
* Learning Compact Binary Descriptors with Unsupervised Deep Neural Networks
* Learning Cross-Domain Landmarks for Heterogeneous Domain Adaptation
* Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification
* Learning Deep Features for Discriminative Localization
* Learning Deep Representation for Imbalanced Classification
* Learning Deep Representations of Fine-Grained Visual Descriptions
* Learning Deep Structure-Preserving Image-Text Embeddings
* Learning Dense Correspondence via 3D-Guided Cycle Consistency
* Learning from the Mistakes of Others: Matching Errors in Cross-Dataset Learning
* Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimizing Global Loss Functions
* Learning Multi-domain Convolutional Neural Networks for Visual Tracking
* Learning Online Smooth Predictors for Realtime Camera Planning Using Recurrent Decision Trees
* Learning Reconstruction-Based Remote Gaze Estimation
* Learning Relaxed Deep Supervision for Better Edge Detection
* Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks
* Learning Structured Inference Neural Networks with Label Relations
* Learning Temporal Regularity in Video Sequences
* Learning to Assign Orientations to Feature Points
* Learning to Co-Generate Object Proposals with a Deep Structured Network
* Learning to Localize Little Landmarks
* Learning to Match Aerial Images with Deep Attentive Architectures
* Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation
* Learning to Select Pre-Trained Deep Representations with Bayesian Evidence Framework
* Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network
* Learning Weight Uncertainty with Stochastic Gradient MCMC for Shape Classification
* Learning with Side Information through Modality Hallucination
* Learnt Quasi-Transitive Similarity for Retrieval from Large Collections of Faces
* Less is More: Zero-Shot Learning from Online Textual Documents with Noise Suppression
* Linear Shape Deformation Models with Local Support Using Graph-Based Structured Matrix Factorisation
* Local Background Enclosure for RGB-D Salient Object Detection
* LocNet: Improving Localization Accuracy for Object Detection
* Logistic Boosting Regression for Label Distribution Learning
* LOMo: Latent Ordinal Model for Facial Analysis in Videos
* Longitudinal Face Modeling via Temporal Deep Restricted Boltzmann Machines
* Loss Functions for Top-k Error: Analysis and Insights
* Macroscopic Interferometry: Rethinking Depth Estimation with Frequency-Domain Time-of-Flight
* Manifold SLIC: A Fast Method to Compute Content-Sensitive Superpixels
* Marr Revisited: 2D-3D Alignment via Surface Normal Prediction
* Material Classification Using Raw Time-of-Flight Measurements
* MCMC Shape Sampling for Image Segmentation with Nonparametric Shape Priors
* MDL-CW: A Multimodal Deep Learning Framework with CrossWeights
* MegaFace Benchmark: 1 Million Faces for Recognition at Scale, The
* Memory Efficient Max Flow for Multi-Label Submodular MRFs
* Metric Learning as Convex Combinations of Local Models with Generalization Guarantees
* Min Norm Point Algorithm for Higher Order MRF-MAP Inference
* Minimizing the Maximal Rank
* Mining 3D Key-Pose-Motifs for Action Recognition
* Mining Discriminative Triplets of Patches for Fine-Grained Classification
* Mirror Surface Reconstruction under an Uncalibrated Camera
* Mixture of Bilateral-Projection Two-Dimensional Probabilistic Principal Component Analysis
* Mnemonic Descent Method: A Recurrent Process Applied for End-to-End Face Alignment
* Modality and Component Aware Feature Fusion for RGB-D Scene Classification
* Monocular 3D Object Detection for Autonomous Driving
* Monocular Depth Estimation Using Neural Regression Forest
* Moral Lineage Tracing
* Motion from Structure (MfS): Searching for 3D Objects in Cluttered Point Trajectories
* MovieQA: Understanding Stories in Movies through Question-Answering
* MSR-VTT: A Large Video Description Dataset for Bridging Video and Language
* Multi-cue Zero-Shot Learning with Strong Supervision
* Multi-label Ranking from Positive and Unlabeled Data
* Multi-level Contextual Model for Person Recognition in Photo Albums, A
* Multi-oriented Text Detection with Fully Convolutional Networks
* Multi-scale Patch Aggregation (MPA) for Simultaneous Detection and Segmentation
* Multi-stream Bi-directional Recurrent Neural Network for Fine-Grained Action Detection, A
* Multi-view Deep Network for Cross-View Classification
* Multi-view People Tracking via Hierarchical Trajectory Composition
* Multicamera Calibration from Visible and Mirrored Epipoles
* Multilinear Hyperplane Hashing
* Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis
* Multiple Models Fitting as a Set Coverage Problem
* Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization
* Multivariate Regression on the Grassmannian for Predicting Novel Domains
* Multiverse Loss for Robust Transfer Learning, The
* Multiview Image Completion with Space Structure Propagation
* Natural Language Object Retrieval
* Needle-Match: Reliable Patch Matching under High Uncertainty
* NetVLAD: CNN Architecture for Weakly Supervised Place Recognition
* Neural Module Networks
* New Finsler Minimal Path Model with Curvature Penalization for Image Segmentation and Closed Contour Detection, A
* Newtonian Image Understanding: Unfolding the Dynamics of Objects in Static Images
* Next Best Underwater View, The
* Noisy Label Recovery for Shadow Detection in Unfamiliar Domains
* Non-local Image Dehazing
* Nonlinear Regression Technique for Manifold Valued Data with Applications to Medical Image Analysis, A
* NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis
* Object Co-segmentation via Graph Optimized-Flexible Manifold Ranking
* Object Contour Detection with a Fully Convolutional Encoder-Decoder Network
* Object Detection from Video Tubelets with Convolutional Neural Networks
* Object Skeleton Extraction in Natural Images by Fusing Scale-Associated Deep Side Outputs
* Object Tracking via Dual Linear Structured SVM and Explicit Feature Map
* Object-Proposal Evaluation Protocol is Gameable
* Occlusion Boundary Detection via Deep Exploration of Context
* Occlusion-Free Face Alignment: Deep Regression Networks Coupled with De-Corrupt AutoEncoders
* On Benefits of Selection Diversity via Bilevel Exclusive Sparsity
* One-Shot Learning of Scene Locations via Feature Trajectory Transfer
* Online Collaborative Learning for Open-Vocabulary Visual Classifiers
* Online Detection and Classification of Dynamic Hand Gestures with Recurrent 3D Convolutional Neural Networks
* Online Learning with Bayesian Classification Trees
* Online Multi-object Tracking via Structural Constraint Event Aggregation
* Online Reconstruction of Indoor Scenes from RGB-D Streams
* Optical Flow with Semantic Segmentation and Localized Layers
* Optimal Relative Pose with Unknown Correspondences
* Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering
* Ordinal Regression with Multiple Output CNN for Age Estimation
* Pairwise Decomposition of Image Sequences for Active Multi-view Recognition
* Pairwise Linear Regression Classification for Image Set Retrieval
* Pairwise Matching through Max-Weight Bipartite Belief Propagation
* Panoramic Stereo Videos with a Single Camera
* Paradigm for Building Generalized Models of Human Image Perception through Data Fusion, A
* Parametric Object Motion from Blur
* Part-Stacked CNN for Fine-Grained Visual Categorization
* Patch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification
* PatchBatch: A Batch Augmented Loss for Optical Flow
* Patches, Planes and Probabilities: A Non-Local Prior for Volumetric 3D Reconstruction
* Pedestrian Detection Inspired by Appearance Constancy and Shape Symmetry
* Person Re-identification by Multi-Channel Parts-Based CNN with Improved Triplet Loss Function
* Personalizing Human Video Pose Estimation
* Picking Deep Filter Responses for Fine-Grained Image Recognition
* Piecewise-Planar 3D Approximation from Wide-Baseline Stereo
* POD: Discovering Primary Objects in Videos Based on Evolutionary Refinement of Object Recurrence, Background, and Primary Object Models
* Pose-Aware Face Recognition in the Wild
* PPP: Joint Pointwise and Pairwise Image Label Prediction
* Predicting Motivations of Actions by Leveraging Text
* Predicting the Where and What of Actors and Actions through Online Action Localization
* Predicting When Saliency Maps are Accurate and Eye Fixations Consistent
* Primary Object Segmentation in Videos via Alternate Convex Optimization of Foreground and Background Distributions
* Principled Parallel Mean-Field Inference for Discrete Random Fields
* Prior-Less Compressible Structure from Motion
* Probabilistic Collaborative Representation Based Approach for Pattern Classification, A
* Probabilistic Framework for Color-Based Point Set Registration, A
* Progressive Feature Matching with Alternate Descriptor Selection and Correspondence Enrichment
* Progressive Prioritized Multi-view Stereo
* Progressively Parsing Interactional Objects for Fine Grained Action Detection
* ProNet: Learning to Propose Object-Specific Boxes for Cascaded Neural Networks
* Proposal Flow
* Proximal Riemannian Pursuit for Large-Scale Trace-Norm Minimization
* PSyCo: Manifold Span Reduction for Super Resolution
* Pull the Plug? Predicting If Computers or Humans Should Segment Images
* Quantized Convolutional Neural Networks for Mobile Devices
* RAID-G: Robust Estimation of Approximate Infinite Dimensional Gaussian with Application to Material Recognition
* Rain Streak Removal Using Layer Priors
* Random Features for Sparse Signal Classification
* RAW Image Reconstruction Using a Self-Contained sRGB-JPEG Image with Only 64 KB Overhead
* Real-Time Action Recognition with Enhanced Motion Vector CNNs
* Real-Time Depth Refinement for Specular Objects
* Real-Time Salient Object Detection with a Minimum Spanning Tree
* Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
* Recognizing Activities of Daily Living with a Wrist-Mounted Camera
* Recognizing Car Fluents from Video
* Recognizing Emotions from Abstract Paintings Using Non-Linear Matrix Completion
* Recognizing Micro-Actions and Reactions from Paired Egocentric Videos
* Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation
* ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Measurements
* Reconstructing Shapes and Appearances of Thin Film Objects Using RGB Images
* Recovering 6D Object Pose and Predicting Next-Best-View in the Crowd
* Recovering the Missing Link: Predicting Class-Attribute Associations for Unsupervised Zero-Shot Learning
* Recovering Transparent Shape from Time-of-Flight Distortion
* Recurrent Attention Models for Depth-Based Person Identification
* Recurrent Attentional Networks for Saliency Detection
* Recurrent Convolutional Network for Video-Based Person Re-identification
* Recurrent Face Aging
* Recurrently Target-Attending Tracking
* Recursive Recurrent Nets with Attention Modeling for OCR in the Wild
* ReD-SFA: Relation Discovery Based Slow Feature Analysis for Trajectory Clustering
* Refining Architectures of Deep Convolutional Neural Networks
* Region Ranking SVM for Image Classification
* Regularity-Driven Building Facade Matching between Aerial and Street Views
* Regularizing Long Short Term Memory with 3D Human-Skeleton Sequences for Action Recognition
* Reinforcement Learning for Visual Object Detection
* Relaxation-Based Preprocessing Techniques for Markov Random Field Inference
* Removing Clouds and Recovering Ground Observations in Satellite Image Sequences via Temporally Contiguous Robust Matrix Completion
* Rethinking the Inception Architecture for Computer Vision
* Reversible Recursive Instance-Level Object Segmentation
* RIFD-CNN: Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection
* Robust 3D Hand Pose Estimation in Single Depth Images: From Single-View CNN to Multi-View CNNs
* Robust Kernel Estimation with Outliers Handling for Image Deblurring
* Robust Light Field Depth Estimation for Noisy Scene with Occlusion
* Robust Multi-Body Feature Tracker: A Segmentation-Free Approach
* Robust Multilinear Model Learning Framework for 3D Faces, A
* Robust Optical Flow Estimation of Double-Layer Images under Transparency or Reflection
* Robust Scene Text Recognition with Automatic Rectification
* Robust Tensor Factorization with Unknown Noise
* Robust Visual Place Recognition with Graph Kernels
* Robust, Real-Time 3D Tracking of Multiple Objects with Similar Appearances
* Rolling Rotations for Recognizing Human Actions from 3D Skeletal Data
* Rolling Shutter Absolute Pose Problem with Known Vertical Direction
* Rolling Shutter Camera Relative Pose: Generalized Epipolar Geometry
* Rotational Crossed-Slit Light Fields
* Saliency Guided Dictionary Learning for Weakly-Supervised Image Parsing
* Saliency Unified: A Deep Architecture for simultaneous Eye Fixation Prediction and Salient Object Segmentation
* Sample and Filter: Nonparametric Scene Parsing via Efficient Filtering
* Sample-Specific SVM Learning for Person Re-identification
* Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit
* Scale-Aware Alignment of Hierarchical Image Segmentation
* Scene Labeling Using Sparse Precision Matrix
* Scene Recognition with CNNs: Objects, Scales and Dataset Bias
* ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation
* Seeing Behind the Camera: Identifying the Authorship of a Photograph
* Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels
* Self-Adaptive Matrix Completion for Heart Rate Estimation from Face Videos under Realistic Conditions
* Semantic 3D Reconstruction with Continuous Regularization and Ray Potentials Using a Visibility Consistency Constraint
* Semantic Channels for Fast Pedestrian Detection
* Semantic Filtering
* Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform
* Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer
* Semantic Object Parsing with Local-Global Long Short-Term Memory
* Semantic Segmentation with Boundary Neural Fields
* Semi-supervised Vocabulary-Informed Learning
* SemiContour: A Semi-Supervised Learning Approach for Contour Detection
* Seven Ways to Improve Example-Based Single Image Super Resolution
* Shallow and Deep Convolutional Networks for Saliency Prediction
* Shape Analysis with Hyperbolic Wasserstein Distance
* Shortlist Selection with Residual-Aware Distance Estimator for K-Nearest Neighbor Search
* Siamese Instance Search for Tracking
* Similarity Learning with Spatial Constraints for Person Re-identification
* Similarity Metric for Curved Shapes in Euclidean Space
* Simultaneous Clustering and Model Selection for Tensor Affinities
* Simultaneous Estimation of Near IR BRDF and Fine-Scale Surface Geometry
* Simultaneous Optical Flow and Intensity Estimation from an Event Camera
* Single Image Camera Calibration with Lenticular Arrays for Augmented Reality
* Single Image Object Modeling Based on BRDF and r-Surfaces Learning
* Single-Image Crowd Counting via Multi-Column Convolutional Neural Network
* Situation Recognition: Visual Semantic Role Labeling for Image Understanding
* Sketch Me That Shoe
* SketchNet: Sketch Classification with Web Images
* Sliced Wasserstein Kernels for Probability Distributions
* Slicing Convolutional Neural Network for Crowd Video Understanding
* Slow and Steady Feature Analysis: Higher Order Temporal Coherence in Video
* Social LSTM: Human Trajectory Prediction in Crowded Spaces
* Soft-Segmentation Guided Object Motion Deblurring
* Solution Path Algorithm for Identity-Aware Multi-object Tracking, The
* Solving Small-Piece Jigsaw Puzzles by Growing Consensus
* Solving Temporal Puzzles
* Some Like It Hot: Visual Guidance for Preference Prediction
* Sparse Coding and Dictionary Learning with Linear Dynamical Systems
* Sparse Coding for Classification via Discrimination Ensemble
* Sparse Coding for Third-Order Super-Symmetric Tensor Descriptors with Application to Texture Recognition
* Sparse to Dense 3D Reconstruction from Rolling Shutter Images
* Sparseness Meets Deepness: 3D Human Pose Estimation from Monocular Video
* Sparsifying Neural Network Connections for Face Recognition
* Spatially Binned ROC: A Comprehensive Saliency Metric
* Spatiotemporal Bundle Adjustment for Dynamic 3D Reconstruction
* SPDA-CNN: Unifying Semantic Part Detection and Abstraction for Fine-Grained Recognition
* Split and Match: Example-Based Adaptive Patch Sampling for Unsupervised Style Transfer
* Stacked Attention Networks for Image Question Answering
* Staple: Complementary Learners for Real-Time Tracking
* STCT: Sequentially Training Convolutional Networks for Visual Tracking
* Stereo Matching with Color and Monochrome Cameras in Low-Light Conditions
* Structural Correlation Filter for Robust Visual Tracking
* Structural-RNN: Deep Learning on Spatio-Temporal Graphs
* Structure from Motion with Objects
* Structure Inference Machines: Recurrent Neural Networks for Analyzing Relations in Group Activity Recognition
* Structure-from-Motion Revisited
* Structured Feature Learning for Pose Estimation
* Structured Feature Similarity with Explicit Feature Map
* Structured Prediction of Unobserved Voxels from a Single Depth Image
* Structured Receptive Fields in CNNs
* Structured Regression Gradient Boosting
* Studying Very Low Resolution Recognition Using Deep Networks
* Sublabel-Accurate Relaxation of Nonconvex Energies
* Subspace Clustering with Priors via Sparse Quadratically Constrained Quadratic Programming
* Summary Transfer: Exemplar-Based Subset Selection for Video Summarization
* Supervised Quantization for Similarity Search
* SVBRDF-Invariant Shape and Reflectance Estimation from Light-Field Cameras
* Symmetry reCAPTCHA
* Synthesized Classifiers for Zero-Shot Learning
* Synthetic Data for Text Localisation in Natural Images
* SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes, The
* Task-Oriented Approach for Cost-Sensitive Recognition, A
* Temporal Action Detection Using a Statistical Language Model
* Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs
* Temporal Action Localization with Pyramid of Score Distribution Features
* Temporal Epipolar Regions
* Temporal Multimodal Learning in Audiovisual Speech Recognition
* Temporally Coherent 4D Reconstruction of Complex Dynamic Scenes
* Tensor Power Iteration for Multi-graph Matching
* Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization
* TenSR: Multi-dimensional Tensor Sparse Representation
* Text Detection System for Natural Scenes with Convolutional Feature Learning and Cascaded Classification, A
* TGIF: A New Dataset and Benchmark on Animated GIF Description
* Theory and Practice of Structure-From-Motion Using Affine Correspondences
* They are Not Equally Reliable: Semantic Event Search Using Differentiated Concept Classifiers
* Thin-Slicing for Pose: Learning to Understand Pose without Explicit Pose Estimation
* Three-Dimensional Object Detection and Layout Prediction Using Clouds of Oriented Gradients
* TI-POOLING: Transformation-Invariant Pooling for Feature Learning in Convolutional Neural Networks
* Top-Push Video-Based Person Re-identification
* Towards Open Set Deep Networks
* Trace Quotient Meets Sparsity: A Method for Learning Low Dimensional Image Representations
* Track and Segment: An Iterative Unsupervised Approach for Video Object Proposals
* Track and Transfer: Watching Videos to Simulate Strong Human Supervision for Weakly-Supervised Object Detection
* Traffic-Sign Detection and Classification in the Wild
* Training Region-Based Object Detectors with Online Hard Example Mining
* Trust No One: Low Rank Matrix Factorization Using Hierarchical RANSAC
* Two Illuminant Estimation and User Correction Preference
* UAVSensor Fusion with Latent-Dynamic Conditional Random Fields in Coronal Plane Estimation
* Unbiased Photometric Stereo for Colored Surfaces: A Variational Approach
* Uncalibrated Photometric Stereo by Stepwise Optimization Using Principal Components of Isotropic BRDFs
* Uncertainty-Driven 6D Pose Estimation of Objects and Scenes from a Single RGB Image
* Unconstrained Face Alignment via Cascaded Compositional Learning
* Unconstrained Salient Object Detection via Proposal Subset Optimization
* Understanding RealWorld Indoor Scenes with Synthetic Data
* Unsupervised Cross-Dataset Transfer Learning for Person Re-identification
* Unsupervised Learning from Narrated Instruction Videos
* Unsupervised Learning of Discriminative Attributes and Visual Representations
* Unsupervised Learning of Edges
* Using Self-Contradiction to Learn Confidence Measures in Stereo Vision
* Using Spatial Order to Boost the Elimination of Incorrect Feature Matches
* Variable Aperture Light Field Photography: Overcoming the Diffraction-Limited Spatio-Angular Resolution Tradeoff
* Video Paragraph Captioning Using Hierarchical Recurrent Neural Networks
* Video Segmentation via Object Flow
* Video-Story Composition via Plot Analysis
* Video2GIF: Automatic Generation of Animated GIFs from Video
* VirtualWorlds as Proxy for Multi-object Tracking Analysis
* Visual Path Prediction in Complex Scenes with Crowded Moving Objects
* Visual Tracking Using Attention-Modulated Disintegration and Integration
* Visual7W: Grounded Question Answering in Images
* Visualizing and Understanding Deep Texture Representations
* Visually Indicated Sounds
* VisualWord2Vec (Vis-W2V): Learning Visually Grounded Word Embeddings Using Abstract Scenes
* VLAD3: Encoding Dynamics of Deep Features for Action Recognition
* Volumetric 3D Tracking by Detection
* Volumetric and Multi-view CNNs for Object Classification on 3D Data
* Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data
* WarpNet: Weakly Supervised Matching for Single-View Reconstruction
* We are Humor Beings: Understanding and Predicting Visual Humor
* We Don't Need No Bounding-Boxes: Training Object Class Detectors Using Only Human Verification
* Weakly Supervised Deep Detection Networks
* Weakly Supervised Object Boundaries
* Weakly Supervised Object Localization with Progressive Domain Adaptation
* Weighted Variational Model for Simultaneous Reflectance and Illumination Estimation, A
* WELDON: Weakly Supervised Learning of Deep Convolutional Neural Networks
* What If We Do Not have Multiple Videos of the Same Action? Video Action Localization Using Web Images
* What Players do with the Ball: A Physically Constrained Interaction Modeling
* What Sparse Light Field Coding Reveals about Scene Structure
* What Value Do Explicit High Level Concepts Have in Vision to Language Problems?
* What's Wrong with That Object? Identifying Images of Unusual Objects by Modelling the Detection Score Distribution
* When Naive Bayes Nearest Neighbors Meet Convolutional Neural Networks
* When VLAD Met Hilbert
* Where to Look: Focus Regions for Visual Question Answering
* WIDER FACE: A Face Detection Benchmark
* Yin and Yang: Balancing and Answering Binary Visual Questions
* You Lead, We Exceed: Labor-Free Video Concept Learning by Jointly Exploiting Web Videos and Images
* You Only Look Once: Unified, Real-Time Object Detection
* Zero-Shot Learning via Joint Latent Similarity Embedding
644 for CVPR16

CVPR17 * *CVPR
* 3D Bounding Box Estimation Using Deep Learning and Geometry
* 3D Convolutional Neural Networks for Efficient and Robust Hand Pose Estimation from Single Depth Images
* 3D Face Morphable Models In-the-Wild
* 3D Human Pose Estimation = 2D Pose Estimation + Matching
* 3D Human Pose Estimation from a Single Image via Distance Matrix Regression
* 3D Menagerie: Modeling the 3D Shape and Pose of Animals
* 3D Point Cloud Registration for Localization Using a Deep Neural Network Auto-Encoder
* 3D Shape Segmentation with Projective Convolutional Networks
* 3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions
* 4D Light Field Superpixel and Segmentation
* A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection
* A-Lamp: Adaptive Layout-Aware Multi-patch Deep Convolutional Neural Network for Photo Aesthetic Assessment
* Accurate Depth and Normal Maps from Occlusion-Aware Focal Stack Symmetry
* Accurate Optical Flow via Direct Cost Volume Processing
* Accurate Single Stage Detector Using Recurrent Rolling Convolution
* Acquiring Axially-Symmetric Transparent Objects Using Single-View Transmission Imaging
* Action Unit Detection with Region Adaptation, Multi-labeling Learning and Optimal Temporal Fusing
* Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning
* ActionVLAD: Learning Spatio-Temporal Aggregation for Action Classification
* Active Convolution: Learning the Shape of Convolution for Image Classification
* Adaptive and Move Making Auxiliary Cuts for Binary Pairwise Energies
* Adaptive Class Preserving Representation for Image Classification
* AdaScan: Adaptive Scan Pooling in Deep Convolutional Neural Networks for Human Action Recognition in Videos
* Additive Component Analysis
* Adversarial Discriminative Domain Adaptation
* Adversarially Tuned Scene Generation
* AGA: Attribute-Guided Augmentation
* Age Progression/Regression by Conditional Adversarial Autoencoder
* Agent-Centric Risk Assessment: Accident Anticipation and Risky Region Localization
* Aggregated Residual Transformations for Deep Neural Networks
* All You Need is Beyond a Good Init: Exploring Better Solution for Training Extremely Deep Convolutional Neural Networks with Orthonormality and Modulation
* Alternating Direction Graph Matching
* Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives, The
* AMC: Attention Guided Multi-modal Correlation Learning for Image Search
* Amodal Detection of 3D Objects: Inferring 3D Bounding Boxes from 2D Ones in RGB-Depth Images
* AMVH: Asymmetric Multi-Valued hashing
* Analyzing Computer Vision Data: The Good, the Bad and the Ugly
* AnchorNet: A Weakly Supervised Network to Learn Geometry-Sensitive Features for Semantic Matching
* Annotating Object Instances with a Polygon-RNN
* Anti-Glare: Tightly Constrained Optimization for Eyeglass Reflection Removal
* Are Large-Scale 3D Models Really Necessary for Accurate Visual Localization?
* Are You Smarter Than a Sixth Grader? Textbook Question Answering for Multimodal Machine Comprehension
* ArtTrack: Articulated Multi-Person Tracking in the Wild
* Asymmetric Feature Maps with Application to Sketch Based Retrieval
* Asynchronous Temporal Fields for Action Recognition
* Attend in Groups: A Weakly-Supervised Deep Learning Framework for Learning from Web Data
* Attend to You: Personalized Image Captioning with Context Sequence Memory Networks
* Attention-Aware Face Hallucination via Deep Reinforcement Learning
* Attentional Correlation Filter Network for Adaptive Visual Tracking
* Attentional Push: A Deep Convolutional Network for Augmenting Image Salience with Shared Attention Modeling in Social Scenes
* Automatic Discovery, Association Estimation and Learning of Semantic Attributes for a Thousand Categories
* Automatic Understanding of Image and Video Advertisements
* Awesome Typography: Statistics-Based Text Effects Transfer
* Bayesian Supervised Hashing
* Benchmarking Denoising Algorithms with Real Photographs
* Beyond Instance-Level Image Retrieval: Leveraging Captions to Learn a Global Visual Representation for Semantic Retrieval
* Beyond Triplet Loss: A Deep Quadruplet Network for Person Re-identification
* Bidirectional Beam Search: Forward-Backward Inference in Neural Sequence Models for Fill-in-the-Blank Image Captioning
* Bidirectional Multirate Reconstruction for Temporal Modeling in Videos
* BigHand2.2M Benchmark: Hand Pose Dataset and State of the Art Analysis
* Binarized Mode Seeking for Scalable Visual Pattern Discovery
* Binary Coding for Partial Action Analysis with Limited Observation Ratios
* Binary Constraint Preserving Graph Matching
* BIND: Binary Integrated Net Descriptors for Texture-Less Object Recognition
* Binge Watching: Scaling Affordance Learning from Sitcoms
* Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-Tuning
* Boundary-Aware Instance Segmentation
* BranchOut: Regularization for Online Ensemble Tracking with Convolutional Neural Networks
* BRISKS: Binary Features for Spherical Images on a Geodesic Grid
* Budget-Aware Deep Semantic Video Segmentation
* Building a Regular Decision Boundary with Deep Networks
* Can Walking and Measuring Along Chord Bunches Better Describe Leaf Shapes?
* Captioning Images with Diverse Objects
* CASENet: Deep Category-Aware Semantic Edge Detection
* CATS: A Color and Thermal Stereo Benchmark
* CDC: Convolutional-De-Convolutional Networks for Precise Temporal Action Localization in Untrimmed Videos
* CERN: Confidence-Energy Recurrent Network for Group Activity Recognition
* ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases
* CityPersons: A Diverse Dataset for Pedestrian Detection
* Clever Elimination Strategy for Efficient Minimal Solvers, A
* CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
* CLKN: Cascaded Lucas-Kanade Networks for Image Alignment
* CNN-Based Patch Matching for Optical Flow with Thresholded Hinge Embedding Loss
* CNN-SLAM: Real-Time Dense Monocular SLAM with Learned Depth Prediction
* Co-occurrence Filter
* Coarse-to-Fine Segmentation with Shape-Tailored Continuum Scale Spaces
* Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human Pose
* Cognitive Mapping and Planning for Visual Navigation
* Collaborative Deep Reinforcement Learning for Joint Object Search
* Collaborative Summarization of Topic-Related Videos
* Colorization as a Proxy Task for Visual Understanding
* Combinatorial Solution to Non-Rigid 3D Shape-to-Image Matching, A
* Combining Bottom-Up, Top-Down, and Smoothness Cues for Weakly Supervised Image Segmentation
* Commonly Uncommon: Semantic Sparsity in Situation Recognition
* Compact DNN: Approaching GoogLeNet-Level Accuracy of Classification and Domain Adaptation, A
* Compact Matrix Factorization with Dependent Subspaces
* Comparative Evaluation of Hand-Crafted and Learned Local Features
* Comprehension-Guided Referring Expressions
* Computational Imaging on the Electric Grid
* Conditional Similarity Networks
* Connecting Look and Feel: Associating the Visual and Tactile Properties of Physical Materials
* Consensus Maximization with Linear Matrix Inequality Constraints
* Consistent-Aware Deep Learning for Person Re-identification in a Camera Network
* Context-Aware Captions from Context-Agnostic Supervision
* Context-Aware Correlation Filter Tracking
* Contour-Constrained Superpixels for Image and Video Processing
* Controlling Perceptual Factors in Neural Style Transfer
* Convex Global 3D Registration with Lagrangian Duality
* Convolutional Neural Network Architecture for Geometric Matching
* Convolutional Random Walk Networks for Semantic Image Segmentation
* Correlational Gaussian Processes for Cross-Domain Visual Recognition
* Counting Everyday Objects in Everyday Scenes
* Creativity: Generating Diverse Questions Using Variational Autoencoders
* Cross-Modality Binary Code Learning via Fusion Similarity Hashing
* Cross-View Image Matching for Geo-Localization in Urban Environments
* Crossing Nets: Combining GANs and VAEs with a Shared Latent Space for Hand Pose Estimation
* Dataset and Exploration of Models for Understanding Video Data through Fill-in-the-Blank Question-Answering, A
* Dataset for Benchmarking Image-Based Localization, A
* Deep 360 Pilot: Learning a Deep Agent for Piloting through 360 deg; Sports Videos
* Deep Affordance-Grounded Sensorimotor Object Recognition
* Deep Co-occurrence Feature Learning for Visual Object Recognition
* Deep Crisp Boundaries
* Deep Cross-Modal Hashing
* Deep Feature Flow for Video Recognition
* Deep Feature Interpolation for Image Content Changes
* Deep Future Gaze: Gaze Anticipation on Egocentric Videos Using Adversarial Networks
* Deep Hashing Network for Unsupervised Domain Adaptation
* Deep Image Harmonization
* Deep Image Matting
* Deep Joint Rain Detection and Removal from a Single Image
* Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution
* Deep Learning Human Mind for Automated Visual Classification
* Deep Learning of Human Visual Sensitivity in Image Quality Assessment Framework
* Deep Learning on Lie Groups for Skeleton-Based Action Recognition
* Deep Learning with Low Precision by Half-Wave Gaussian Quantization
* Deep Level Sets for Salient Object Detection
* Deep MANTA: A Coarse-to-Fine Many-Task Network for Joint 2D and 3D Vehicle Analysis from Monocular Image
* Deep Matching Prior Network: Toward Tighter Multi-oriented Text Detection
* Deep Metric Learning via Facility Location
* Deep Mixture of Linear Inverse Regressions Applied to Head-Pose Estimation
* Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring
* Deep Multimodal Representation Learning from Temporal Data
* Deep Multitask Architecture for Integrated 2D and 3D Human Sensing
* Deep Network Flow for Multi-object Tracking
* Deep Outdoor Illumination Estimation
* Deep Photo Style Transfer
* Deep Pyramidal Residual Networks
* Deep Quantization: Encoding Convolutional Activations with Deep Generative Model
* Deep Regression Architecture with Two-Stage Re-initialization for High Performance Facial Landmark Detection, A
* Deep Reinforcement Learning-Based Image Captioning with Embedding Reward
* Deep Representation Learning for Human Motion Prediction and Classification
* Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups
* Deep Self-Taught Learning for Weakly Supervised Object Localization
* Deep Semantic Feature Matching
* Deep Sequential Context Networks for Action Prediction
* Deep Sketch Hashing: Fast Free-Hand Sketch-Based Image Retrieval
* Deep Structured Learning for Facial Action Unit Intensity Estimation
* Deep Supervision with Shape Concepts for Occlusion-Aware 3D Object Parsing
* Deep Temporal Linear Encoding Networks
* Deep TEN: Texture Encoding Network
* Deep Unsupervised Similarity Learning Using Partially Ordered Sets
* Deep Variation-Structured Reinforcement Learning for Visual Relationship and Attribute Detection
* Deep Video Deblurring for Hand-Held Cameras
* Deep View Morphing
* Deep Visual-Semantic Quantization for Efficient Image Retrieval
* Deep Watershed Transform for Instance Segmentation
* Deeply Aggregated Alternating Minimization for Image Restoration
* Deeply Supervised Salient Object Detection with Short Connections
* DeepNav: Learning to Navigate Large Cities
* DeepPermNet: Visual Permutation Learning
* DeLiGAN: Generative Adversarial Networks for Diverse and Limited Data
* DeMoN: Depth and Motion Network for Learning Monocular Stereo
* Dense Captioning with Joint Inference and Visual Context
* Densely Connected Convolutional Networks
* DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild
* Depth from Defocus in the Wild
* DeshadowNet: A Multi-context Embedding Deep Network for Shadow Removal
* Designing Effective Inter-Pixel Information Flow for Natural Image Matting
* Designing Energy-Efficient Convolutional Neural Networks Using Energy-Aware Pruning
* Designing Illuminant Spectral Power Distributions for Surface Classification
* DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents
* Detailed, Accurate, Human Shape Estimation from Clothed 3D Scan Sequences
* Detangling People: Individuating Multiple Close People and Their Body Parts via Region Assembly
* Detect, Replace, Refine: Deep Structured Prediction for Pixel Wise Labeling
* Detecting Masked Faces in the Wild with LLE-CNNs
* Detecting Oriented Text in Natural Images by Linking Segments
* Detecting Visual Relationships with Deep Relational Networks
* Differential Angular Imaging for Material Recognition
* Dilated Residual Networks
* Direct Photometric Alignment by Mesh Deformation
* Discover and Learn New Objects from Documentaries
* Discovering Causal Signals in Images
* Discretely Coding Semantic Rank Orders for Supervised Image Hashing
* Discriminative Bimodal Networks for Visual Localization and Detection with Natural Language Queries
* Discriminative Correlation Filter with Channel and Spatial Reliability
* Discriminative Covariance Oriented Representation Learning for Face Recognition with Image Sets
* Discriminative Optimization: Theory and Applications to Point Cloud Registration
* Disentangled Representation Learning GAN for Pose-Invariant Face Recognition
* Distinguishing the Indistinguishable: Exploring Structural Ambiguities via Geodesic Context
* Diverse Image Annotation
* Diversified Texture Synthesis with Feed-Forward Networks
* Domain Adaptation by Mixture of Alignments of Second-or Higher-Order Scatter Tensors
* Domain Based Approach to Social Relation Recognition, A
* DOPE: Distributed Optimization for Pairwise Energies
* DSAC: Differentiable RANSAC for Camera Localization
* Dual Ascent Framework for Lagrangean Decomposition of Combinatorial Problems, A
* Dual Attention Networks for Multimodal Reasoning and Matching
* DUST: Dual Union of Spatio-Temporal Subspaces for Monocular Multiple Object 3D Reconstruction
* Dynamic Attention-Controlled Cascaded Shape Regression Exploiting Training Data Augmentation and Fuzzy-Set Sample Weighting
* Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs
* Dynamic Facial Analysis: From Bayesian Filtering to Recurrent Neural Network
* Dynamic FAUST: Registering Human Bodies in Motion
* Dynamic Time-of-Flight
* EAST: An Efficient and Accurate Scene Text Detector
* ECO: Efficient Convolution Operators for Tracking
* Efficient Algebraic Solution to the Perspective-Three-Point Problem, An
* Efficient Background Term for 3D Reconstruction and Tracking with Smooth Surface Models, An
* Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations
* Efficient Global Point Cloud Alignment Using Bayesian Nonparametric Mixtures
* Efficient Linear Programming for Dense CRFs
* Efficient Multiple Instance Metric Learning Using Weakly Supervised Data
* Efficient Optimization for Hierarchically-Structured Interacting Segments (HINTS)
* Efficient Solvers for Minimal Problems by Syzygy-Based Reduction
* Elastic Shape-from-Template with Spatially Sparse Deforming Forces
* Emotion Recognition in Context
* Empirical Evaluation of Visual Question Answering for Novel Objects, An
* End-to-End 3D Face Reconstruction with Deep Neural Networks
* End-to-End Concept Word Detection for Video Captioning, Retrieval, and Question Answering
* End-to-End Instance Segmentation with Recurrent Attention
* End-to-End Learning of Driving Models from Large-Scale Video Datasets
* End-to-End Representation Learning for Correlation Filter Based Tracking
* End-to-End Training of Hybrid CNN-CRF Models for Stereo
* Enhancing Video Summarization via Vision-Language Embedding
* Episodic CAMN: Contextual Attention-Based Memory Networks with Iterative Feedback for Scene Labeling
* ER3: A Unified Framework for Event Retrieval, Recognition and Recounting
* Event-Based Visual Inertial Odometry
* Exact Penalty Method for Locally Convergent Maximum Consensus, An
* Exclusivity-Consistency Regularized Multi-view Subspace Clustering
* Expecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial Imposters
* Expert Gate: Lifelong Learning with a Network of Experts
* Exploiting 2D Floorplan for Building-Scale Panorama RGBD Alignment
* Exploiting Saliency for Object Segmentation from Image Level Labels
* Exploiting Symmetry and/or Manhattan Properties for 3D Object Structure Estimation from Single and Multiple Images
* Face Normals In-the-Wild Using Fully Convolutional Networks
* Factorized Variational Autoencoders for Modeling Audience Reactions to Movies
* FASON: First and Second Order Information Fusion Network for Texture Recognition
* Fast 3D Reconstruction of Faces with Glasses
* Fast Boosting Based Detection Using Scale Invariant Multimodal Multiresolution Filtered Features
* Fast Fourier Color Constancy
* Fast Haze Removal for Nighttime Image Using Maximum Reflectance Prior
* Fast Multi-frame Stereo Scene Flow with Motion Segmentation
* Fast Person Re-identification via Cross-Camera Semantic Binary Transformation
* Fast Video Classification via Adaptive Cascading of Deep Models
* Fast-At: Fast Automatic Thumbnail Generation Using Deep Neural Networks
* FastMask: Segment Multi-scale Object Candidates in One Shot
* FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence
* FC^4: Fully Convolutional Color Constancy with Confidence-Weighted Pooling
* Feature Pyramid Networks for Object Detection
* Feedback Networks
* Few-Shot Object Recognition from Machine-Labeled Web Images
* FFTLasso: Large-Scale LASSO in the Fourier Domain
* Filter Flow Made Practical: Massively Parallel and Lock-Free
* Finding Tiny Faces
* Fine-Grained Image Classification via Combining Vision and Language
* Fine-Grained Recognition as HSnet Search for Informative Image Parts
* Fine-Grained Recognition of Thousands of Object Categories with Single-Example Training
* Fine-to-Coarse Global Registration of RGB-D Scans
* Fine-Tuning Convolutional Neural Networks for Biomedical Image Analysis: Actively and Incrementally
* Fixed-Point Factorized Networks
* Flexible Spatio-Temporal Networks for Video Prediction
* Flight Dynamics-Based Recovery of a UAV Trajectory Using Ground Cameras
* FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
* Forecasting Human Dynamics from Static Images
* Forecasting Interactive Dynamics of Pedestrians with Fictitious Play
* Fractal Dimension Invariant Filtering and Its CNN-Based Implementation
* Fried Binary Embedding for High-Dimensional Visual Features
* From Local to Global: Edge Profiles to Camera Motion in Blurred Images
* From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur
* From Red Wine to Red Tomato: Composition with Context
* From Zero-Shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis
* Full Resolution Image Compression with Recurrent Neural Networks
* Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes
* Fully Convolutional Instance-Aware Semantic Segmentation
* Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification
* FusionSeg: Learning to Combine Motion and Appearance for Fully Automatic Segmentation of Generic Objects in Videos
* G2DeNet: Global Gaussian Distribution Embedding Network and Its Application to Visual Recognition
* Gated Feedback Refinement Network for Dense Image Labeling
* Gaze Embeddings for Zero-Shot Image Classification
* General Framework for Curve and Surface Comparison and Registration with Oriented Varifolds, A
* General Models for Rational Cameras and the Case of Two-Slit Projections
* Generalized Deep Image to Image Regression
* Generalized Rank Pooling for Activity Recognition
* Generalized Semantic Preserving Hashing for N-Label Cross-Modal Retrieval
* Generating Descriptions with Grounded and Co-referenced People
* Generating Holistic 3D Scene Abstractions for Text-Based Image Retrieval
* Generating the Future with Adversarial Transformers
* Generative Attribute Controller with Conditional Filtered Generative Adversarial Networks
* Generative Face Completion
* Generative Hierarchical Learning of Sparse FRAME Models
* Generative Model for Depth-Based Robust 3D Facial Pose Tracking, A
* Geodesic Distance Descriptors
* Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs
* Geometric Loss Functions for Camera Pose Regression with Deep Learning
* Geometry of First-Returning Photons for Non-Line-of-Sight Imaging, The
* Gift from Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning, A
* Global Context-Aware Attention LSTM Networks for 3D Action Recognition
* Global Hypothesis Generation for 6D Object Pose Estimation
* Global Optimality in Neural Network Training
* GMS: Grid-Based Motion Statistics for Fast, Ultra-Robust Feature Correspondence
* Graph Regularized Deep Neural Network for Unsupervised Image Representation Learning, A
* Graph-Structured Representations for Visual Question Answering
* Grassmannian Manifold Optimization Assisted Sparse Spectral Clustering
* Group-Wise Point-Set Registration Based on Renyi's Second Order Entropy
* Growing a Brain: Fine-Tuning by Increasing Model Capacity
* GuessWhat?! Visual Object Discovery through Multi-modal Dialogue
* Hallucinating Very Low-Resolution Unaligned and Noisy Face Images by Transformative Discriminative Autoencoders
* Hand Keypoint Detection in Single Images Using Multiview Bootstrapping
* Hard Mixtures of Experts for Large Scale Weakly Supervised Vision
* Hardware-Efficient Guided Image Filtering for Multi-label Problem
* Harmonic Networks: Deep Translation and Rotation Equivariance
* Harvesting Multiple Views for Marker-Less 3D Human Pose Annotations
* Hidden Layers in Perceptual Learning
* Hierarchical Approach for Generating Descriptive Image Paragraphs, A
* Hierarchical Boundary-Aware Neural Encoder for Video Captioning
* Hierarchical Multimodal Metric Learning for Multimodal Classification
* High-Resolution Image Inpainting Using Multi-scale Neural Patch Synthesis
* HOPE: Hierarchical Object Prototype Encoding for Efficient Object Instance Search in Videos
* HPatches: A Benchmark and Evaluation of Handcrafted and Learned Local Descriptors
* HSfM: Hybrid Structure-from-Motion
* Human Shape from Silhouettes Using Generative HKS Descriptors and Cross-Modal Neural Networks
* Hyper-Laplacian Regularized Unidirectional Low-Rank Tensor Recovery for Multispectral Image Denoising
* Hyperspectral Image Super-Resolution via Non-local Sparse Tensor Factorization
* iCaRL: Incremental Classifier and Representation Learning
* Identifying First-Person Camera Wearers in Third-Person Videos
* Illuminant-Camera Communication to Observe Moving Objects under Strong External Light by Spread Spectrum Modulation
* IM2CAD
* Image Deblurring via Extreme Channels Prior
* Image Splicing Detection via Camera Response Function Analysis
* Image Super-Resolution via Deep Recursive Residual Network
* Image-to-Image Translation with Conditional Adversarial Networks
* Impact of Typicality for Informative Representative Selection, The
* Improved Stereo Matching with Constant Highway Networks and Reflective Confidence Learning
* Improved Texture Networks: Maximizing Quality and Diversity in Feed-Forward Stylization and Texture Synthesis
* Improving Facial Attribute Prediction Using Semantic Segmentation
* Improving Interpretability of Deep Neural Networks with Semantic Information
* Improving Pairwise Ranking for Multi-label Image Classification
* Improving RANSAC-Based Segmentation through CNN Encapsulation
* Improving Training of Deep Neural Networks via Singular Value Bounding
* Incorporating Copying Mechanism in Image Captioning for Learning Novel Objects
* Incremental Kernel Null Space Discriminant Analysis for Novelty Detection
* Incremental Multiresolution Matrix Factorization Algorithm, The
* Indoor Scene Parsing with Instance Segmentation, Semantic Labeling and Support Relationship Inference
* Infinite Variational Autoencoder for Semi-Supervised Learning
* Instance-Aware Image and Sentence Matching with Selective Multimodal LSTM
* Instance-Level Salient Object Segmentation
* InstanceCut: From Edges to Instances with MultiCut
* InterpoNet, a Brain Inspired Neural Network for Optical Flow Dense Interpolation
* Interpretable Structure-Evolving LSTM
* Interspecies Knowledge Transfer for Facial Keypoint Detection
* Intrinsic Grassmann Averages for Online Linear and Robust Subspace Learning
* Inverse Compositional Spatial Transformer Networks
* IRINA: Iris Recognition (Even) in Inaccurately Segmented Data
* Joint Detection and Identification Feature Learning for Person Search
* Joint Discriminative Bayesian Dictionary and Classifier Learning
* Joint Gap Detection and Inpainting of Line Drawings
* Joint Geometrical and Statistical Alignment for Visual Domain Adaptation
* Joint Graph Decomposition Node Labeling: Problem, Algorithms, Applications
* Joint Intensity and Spatial Metric Learning for Robust Gait Recognition
* Joint Multi-person Pose Estimation and Semantic Part Segmentation
* Joint Registration and Representation Learning for Unconstrained Face Identification
* Joint Sequence Learning and Cross-Modality Convolution for 3D Biomedical Segmentation
* Joint Speaker-Listener-Reinforcer Model for Referring Expressions, A
* Jointly Learning Energy Expenditures and Activities Using Egocentric Multimodal Signals
* Kernel Pooling for Convolutional Neural Networks
* Kernel Square-Loss Exemplar Machines for Image Retrieval
* KillingFusion: Non-rigid 3D Reconstruction without Correspondences
* Knowing When to Look: Adaptive Attention via a Visual Sentinel for Image Captioning
* Knowledge Acquisition for Visual Question Answering via Iterative Querying
* L2-Net: Deep Learning of Discriminative Patch Descriptor in Euclidean Space
* Large Kernel Matters: Improve Semantic Segmentation by Global Convolutional Network
* Large Margin Object Tracking with Circulant Feature Maps
* Latent Multi-view Subspace Clustering
* LCNN: Lookup-Based Convolutional Neural Network
* LCR-Net: Localization-Classification-Regression for Human Pose
* Lean Crowdsourcing: Combining Humans and Machines in an Online System
* Learned Contextual Feature Reweighting for Image Geo-Localization
* Learning a Deep Embedding Model for Zero-Shot Learning
* Learning Adaptive Receptive Fields for Deep Image Parsing Network
* Learning an Invariant Hilbert Space for Domain Adaptation
* Learning and Refining of Privileged Information-Based RNNs for Action Recognition from Depth Sequences
* Learning Barycentric Representations of 3D Shapes for Sketch-Based 3D Shape Retrieval
* Learning by Association: A Versatile Semi-Supervised Training Method for Neural Networks
* Learning Category-Specific 3D Shape Models from Weakly Labeled 2D Images
* Learning Cross-Modal Deep Representations for Robust Pedestrian Detection
* Learning Cross-Modal Embeddings for Cooking Recipes and Food Images
* Learning Deep Binary Descriptor with Multi-Quantization
* Learning Deep CNN Denoiser Prior for Image Restoration
* Learning Deep Context-Aware Features over Body and Latent Parts for Person Re-identification
* Learning Deep Match Kernels for Image-Set Classification
* Learning Detailed Face Reconstruction from a Single Image
* Learning Detection with Diverse Proposals
* Learning Discriminative and Transformation Covariant Local Feature Detectors
* Learning Diverse Image Colorization
* Learning Dynamic Guidance for Depth Image Enhancement
* Learning Features by Watching Objects Move
* Learning from Noisy Large-Scale Datasets with Minimal Supervision
* Learning from Simulated and Unsupervised Images through Adversarial Training
* Learning from Synthetic Humans
* Learning Fully Convolutional Networks for Iterative Non-blind Deconvolution
* Learning Motion Patterns in Videos
* Learning Multifunctional Binary Codes for Both Category and Attribute Oriented Retrieval Tasks
* Learning Non-Lambertian Object Intrinsics Across ShapeNet Categories
* Learning Non-maximum Suppression
* Learning Object Interactions and Descriptions for Semantic Image Segmentation
* Learning Random-Walk Label Propagation for Weakly-Supervised Semantic Segmentation
* Learning Residual Images for Face Attribute Manipulation
* Learning Shape Abstractions by Assembling Volumetric Primitives
* Learning Spatial Regularization with Image-Level Supervisions for Multi-label Image Classification
* Learning the Multilinear Structure of Visual Data
* Learning to Align Semantic Segmentation and 2.5D Maps for Geolocalization
* Learning to Detect Salient Objects with Image-Level Supervision
* Learning to Extract Semantic Structure from Documents Using Multimodal Fully Convolutional Neural Networks
* Learning to Learn from Noisy Web Videos
* Learning to Predict Stereo Reliability Enforcing Local Consistency of Confidence Maps
* Learning to Rank Retargeted Images
* Learning Video Object Segmentation from Static Images
* Level Playing Field for Million Scale Face Recognition
* Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image
* Light Field Blind Motion Deblurring
* Light Field Reconstruction Using Deep Convolutional Network on EPI
* Linear Extrinsic Calibration of Kaleidoscopic Imaging System from Single 3D Point, A
* Link the Head to the Beak: Zero Shot Learning from Noisy Text Description at Part Precision
* Linking Image and Text with 2-Way Nets
* Lip Reading Sentences in the Wild
* Local Binary Convolutional Neural Networks
* Locality-Sensitive Deconvolution Networks with Gated Fusion for RGB-D Indoor Semantic Segmentation
* Look Closer to See Better: Recurrent Attention Convolutional Neural Network for Fine-Grained Image Recognition
* Look into Person: Self-Supervised Structure-Sensitive Learning and a New Benchmark for Human Parsing
* Loss Max-Pooling for Semantic Image Segmentation
* Low Power, Fully Event-Based Gesture Recognition System, A
* Low-Rank Bilinear Pooling for Fine-Grained Classification
* Low-Rank Embedded Ensemble Semantic Dictionary for Zero-Shot Learning
* Low-Rank-Sparse Subspace Representation for Robust Regression
* LSTM Self-Supervision for Detailed Behavior Analysis
* Making 360░ Video Watchable in 2D: Learning Videography for Click Free Viewing
* Making Deep Neural Networks Robust to Label Noise: A Loss Correction Approach
* Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
* Material Classification Using Frequency-and Depth-Dependent Time-of-Flight Distortion
* Matrix Splitting Method for Composite Function Minimization, A
* Matrix Tri-Factorization with Manifold Regularizations for Zero-Shot Learning
* Matting and Depth Recovery of Thin Structures Using a Focal Stack
* MCMLSD: A Dynamic Programming Approach to Line Segment Detection
* MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network
* Memory-Augmented Attribute Manipulation Networks for Interactive Fashion Search
* Message Passing Algorithm for the Minimum Cost Multicut Problem, A
* Mimicking Very Efficient Network for Object Detection
* MIML-FCN+: Multi-Instance Multi-Label Learning via Fully Convolutional Networks with Privileged Information
* Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation
* Minimal Solution for Two-View Focal-Length Estimation Using Two Affine Correspondences, A
* Minimum Delay Moving Object Detection
* Mining Object Parts from CNNs via Active Question-Answering
* Missing Modalities Imputation via Cascaded Residual Autoencoder
* Misty Three Point Algorithm for Relative Pose, The
* Model-Based Iterative Restoration for Binary Document Image Compression with Dictionary Learning
* Modeling Relationships in Referential Expressions with Compositional Modular Networks
* Modeling Sub-Event Dynamics in First-Person Action Recognition
* Modeling Temporal Dynamics and Spatial Configurations of Actions Using Two-Stream Recurrent Neural Networks
* More is Less: A More Complicated Network with Less Inference Complexity
* More You Know: Using Knowledge Graphs for Image Classification, The
* MuCaLe-Net: Multi Categorical-Level Networks to Generate More Discriminating Features
* Multi-attention Network for One Shot Learning
* Multi-context Attention for Human Pose Estimation
* Multi-level Attention Networks for Visual Question Answering
* Multi-modal Mean-Fields via Cardinality-Based Clamping
* Multi-object Tracking with Quadruplet Convolutional Neural Networks
* Multi-scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation
* Multi-scale FCN with Cascaded Instance Aware Segmentation for Arbitrary Oriented Word Spotting in the Wild
* Multi-task Clustering of Human Actions by Sharing Information
* Multi-task Correlation Particle Filter for Robust Object Tracking
* Multi-view 3D Object Detection Network for Autonomous Driving
* Multi-view Stereo Benchmark with High-Resolution Images and Multi-camera Videos, A
* Multi-view Supervision for Single-View Reconstruction via Differentiable Ray Consistency
* Multi-way Multi-level Kernel Modeling for Neuroimaging Classification
* Multigrid Neural Architectures
* Multimodal Transfer: A Hierarchical Deep Convolutional Neural Network for Fast Artistic Style Transfer
* Multiple Instance Detection Network with Online Instance Classifier Refinement
* Multiple People Tracking by Lifted Multicut and Person Re-identification
* Multiple-Scattering Microphysics Tomography
* Network Dissection: Quantifying Interpretability of Deep Visual Representations
* Network Sketching: Exploiting Binary Structure in Deep CNNs
* Neural Aggregation Network for Video Face Recognition
* Neural Face Editing with Intrinsic Image Disentangling
* Neural Scene De-rendering
* New Rank Constraint on Multi-view Fundamental Matrices, and Its Application to Camera Location Recovery, A
* New Representation of Skeleton Sequences for 3D Action Recognition, A
* Newton-Type Methods for Inference in Higher-Order Markov Random Fields
* NID-SLAM: Robust Monocular SLAM Using Normalised Information Distance
* Noise Robust Depth from Focus Using a Ring Difference Filter
* Noise-Blind Image Deblurring
* Noisy Softmax: Improving the Generalization Ability of DCNN via Postponing the Early Softmax Saturation
* Non-contact Full Field Vibration Measurement Based on Phase-Shifting
* Non-convex Variational Approach to Photometric Stereo under Inaccurate Lighting, A
* Non-local Color Image Denoising with Convolutional Neural Networks
* Non-local Deep Features for Salient Object Detection
* Non-local Low-Rank Framework for Ultrasound Speckle Reduction, A
* Non-uniform Subset Selection for Active Learning in Structured Data
* Nonnegative Matrix Underapproximation for Robust Multiple Model Fitting
* Not Afraid of the Dark: NIR-VIS Face Recognition via Cross-Spectral Hallucination and Low-Rank Embedding
* Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade
* Novel Tensor-Based Video Rain Streaks Removal Approach via Utilizing Discriminatively Intrinsic Priors, A
* Object Co-skeletonization with Co-segmentation
* Object Detection in Videos with Tubelet Proposal Networks
* Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach
* Object-Aware Dense Semantic Correspondence
* OctNet: Learning Deep 3D Representations at High Resolutions
* On Compressing Deep Models by Low Rank and Sparse Decomposition
* On Human Motion Prediction Using Recurrent Neural Networks
* On the Effectiveness of Visible Watermarks
* On the Global Geometry of Sphere-Constrained Sparse Blind Deconvolution
* On the Two-View Geometry of Unsynchronized Cameras
* On-the-Fly Adaptation of Regression Forests for Online Camera Relocalisation
* One-Shot Hyperspectral Imaging Using Faced Reflectors
* One-Shot Metric Learning for Person Re-identification
* One-Shot Video Object Segmentation
* One-To-Many Network for Visually Pleasing Compression Artifacts Reduction
* Online Asymmetric Similarity Learning for Cross-Modal Retrieval
* Online Graph Completion: Multivariate Signal Recovery in Computer Vision
* Online Summarization via Submodular and Convex Optimization
* Online Video Object Segmentation via Convolutional Trident Network
* Optical Flow Estimation Using a Spatial Pyramid Network
* Optical Flow in Mostly Rigid Scenes
* Optical Flow Requires Multiple Strategies (but Only One Network)
* Order-Preserving Wasserstein Distance for Sequence Matching
* Oriented Response Networks
* Outlier-Robust Tensor PCA
* Parametric T-Spline Face Morphable Model for Detailed Fitting in Shape Subspace
* Parsing Images of Overlapping Organisms with Deep Singling-Out Networks
* Perceptual Generative Adversarial Networks for Small Object Detection
* Person Re-identification in the Wild
* Person Search with Natural Language Description
* Personalizing Gesture Recognition Using Hierarchical Bayesian Neural Networks
* Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
* Photorealistic Facial Texture Inference Using Deep Neural Networks
* Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks
* Physics Inspired Optimization on Semantic Transfer Features: An Alternative Method for Room Layout Estimation
* Pixelwise Instance Segmentation with a Dynamically Instantiated Network
* Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space
* Point Set Generation Network for 3D Object Reconstruction from a Single Image, A
* Point to Set Similarity Based Deep Feature Learning for Person Re-Identification
* PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
* Polarimetric Multi-view Stereo
* Polyhedral Conic Classifiers for Visual Object Detection and Classification
* PolyNet: A Pursuit of Structural Diversity in Very Deep Networks
* Pose-Aware Person Recognition
* PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning
* POSEidon: Face-from-Depth for Driver Pose Estimation
* PoseTrack: Joint Multi-person Pose Estimation and Tracking
* Position Tracking for Virtual Reality Using Commodity WiFi
* Practical Method for Fully Automatic Intrinsic Camera Calibration Using Directionally Encoded Light, A
* Predicting Behaviors of Basketball Players from First Person Videos
* Predicting Ground-Level Scene Layout from Aerial Imagery
* Predicting Salient Face in Multiple-Face Videos
* Predictive-Corrective Networks for Action Detection
* Primary Object Segmentation in Videos Based on Region Augmentation and Reduction
* Probabilistic Temporal Subspace Clustering
* Procedural Generation of Videos to Train Deep Action Recognition Networks
* Product Manifold Filter: Non-rigid Shape Correspondence via Kernel Density Estimation in the Product Space
* Product Split Trees
* Provable Self-Representation Based Outlier Detection in a Union of Subspaces
* Pyramid Scene Parsing Network
* Quad-Networks: Unsupervised Learning to Rank for Interest Point Detection
* Quality Aware Network for Set to Set Recognition
* Query-Focused Video Summarization: Dataset, Evaluation, and a Memory Network Based Approach
* Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
* Radiometric Calibration for Internet Photo Collections
* Radiometric Calibration from Faces in Images
* Re-ranking Person Re-identification with k-Reciprocal Encoding
* Re-Sign: Re-Aligned End-to-End Sequence Modelling with Deep Recurrent CNN-HMMs
* Real-Time 3D Model Tracking in Color and Depth on a Single CPU Core
* Real-Time Neural Style Transfer for Videos
* Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation
* Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields
* Reconstructing Transient Images from Single-Photon Sensors
* Recurrent 3D Pose Sequence Machines
* Recurrent Convolutional Neural Networks for Continuous Sign Language Recognition by Staged Optimization
* Recurrent Modeling of Interaction Context for Collective Activity Recognition
* RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation
* Reflectance Adaptive Filtering Improves Intrinsic Image Estimation
* Reflection Removal Using Low-Rank Matrix Completion
* Regressing Robust and Discriminative 3D Morphable Models with a Very Deep Neural Network
* Reinforcement Learning Approach to the View Planning Problem, A
* Relationship Proposal Networks
* Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild
* Removing Rain from Single Images via a Deep Detail Network
* Residual Attention Network for Image Classification
* Residual Expansion Algorithm: Fast and Effective Optimization for Nonconvex Least Squares Problems
* Revisiting Metric Learning for SPD Matrix Based Visual Representation
* Revisiting the Variable Projection Method for Separable Nonlinear Least Squares Problems
* Richer Convolutional Features for Edge Detection
* Riemannian Nonlinear Mixed Effects Models: Analyzing Longitudinal Deformations in Neuroimaging
* ROAM: A Rich Object Appearance Model with Application to Rotoscoping
* Robust Energy Minimization for BRDF-Invariant Shape from Light Fields
* Robust Interpolation of Correspondences for Large Displacement Optical Flow
* Robust Joint and Individual Variance Explained
* Robust Visual Tracking Using Oblique Random Forests
* RON: Reverse Connection with Objectness Prior Networks for Object Detection
* S2F: Slow-to-Fast Interpolator Flow
* S3Pool: Pooling with Stochastic Spatial Sampling
* Saliency Revisited: Analysis of Mouse Movements Versus Fixations
* SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning
* Scalable Person Re-identification on Supervised Smoothed Manifold
* Scalable Surface Reconstruction from Point Clouds with Extreme Scale and Density Diversity
* Scale-Aware Face Detection
* ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes
* SCC: Semantic Context Cascade for Efficient Action Detection
* Scene Flow to Action Map: A New Representation for RGB-D Based Action Recognition with Convolutional Neural Networks
* Scene Graph Generation by Iterative Message Passing
* Scene Parsing through ADE20K Dataset
* Scribbler: Controlling Deep Image Synthesis with Sketch and Color
* See the Forest for the Trees: Joint Spatial and Temporal Recurrent Neural Networks for Video-Based Person Re-identification
* Seeing into Darkness: Scotopic Visual Recognition
* Seeing Invisible Poses: Estimating 3D Body Pose from Egocentric Video
* Seeing What is Not There: Learning Context to Determine Where Objects are Missing
* Self-Calibration-Based Approach to Critical Motion Sequences of Rolling-Shutter Structure from Motion
* Self-Critical Sequence Training for Image Captioning
* Self-Learning Scene-Specific Pedestrian Detectors Using a Progressive Latent Model
* Self-Supervised Learning of Visual Features through Embedding Images into Text Topic Spaces
* Self-Supervised Video Representation Learning with Odd-One-Out Networks
* Semantic Amodal Segmentation
* Semantic Autoencoder for Zero-Shot Learning
* Semantic Compositional Networks for Visual Captioning
* Semantic Image Inpainting with Deep Generative Models
* Semantic Multi-view Stereo: Jointly Estimating Objects and Voxels
* Semantic Regularisation for Recurrent Image Annotation
* Semantic Scene Completion from a Single Depth Image
* Semantic Segmentation via Structured Patch Prediction, Context CRF and Guidance CRF
* Semantically Coherent Co-Segmentation and Reconstruction of Dynamic Scenes
* Semantically Consistent Regularization for Zero-Shot Recognition
* Semi-Calibrated Near Field Photometric Stereo
* Semi-Supervised Deep Learning for Monocular Depth Map Prediction
* Sequential Person Recognition in Photo Albums with a Recurrent Network
* SGM-Nets: Semi-Global Matching with Neural Networks
* Shading Annotations in the Wild
* Shape Completion Using 3D-Encoder-Predictor CNNs and Shape Synthesis
* ShapeOdds: Variational Bayesian Learning of Generative Shape Models
* Simple Does It: Weakly Supervised Instance and Semantic Segmentation
* Simultaneous Facial Landmark Detection, Pose and Deformation Estimation Under Facial Occlusion
* Simultaneous Feature Aggregating and Hashing for Large-Scale Image Search
* Simultaneous Geometric and Radiometric Calibration of a Projector-Camera Pair
* Simultaneous Stereo Video Deblurring and Scene Flow Estimation
* Simultaneous Super-Resolution and Cross-Modality Synthesis of 3D Medical Images Using Weakly-Supervised Joint Convolutional Sparse Coding
* Simultaneous Visual Data Completion and Denoising Based on Tensor Rank and Total Variation Minimization and Its Primal-Dual Splitting Algorithm
* Single Image Reflection Suppression
* Skeleton Key: Image Captioning by Skeleton-Attribute Decomposition
* Slow Flow: Exploiting High-Speed Cameras for Accurate and Diverse Optical Flow Reference Data
* Snapshot Hyperspectral Light Field Imaging
* Social Scene Understanding: End-to-End Multi-person Action Localization and Collective Activity Recognition
* Soft-Margin Mixture of Regressions
* Spatial-Semantic Image Search by Visual Feature Synthesis
* Spatially Adaptive Computation Time for Residual Networks
* Spatially-Varying Blur Detection Based on Multiscale Fused and Sorted Transform Coefficients of Gradient Magnitudes
* Spatio-Temporal Alignment of Non-overlapping Sequences from Independently Panning Cameras
* Spatio-Temporal Naive-Bayes Nearest-Neighbor (ST-NBNN) for Skeleton-Based Action Recognition
* Spatio-Temporal Self-Organizing Map Deep Network for Dynamic Object Detection from Videos
* Spatio-Temporal Vector of Locally Max Pooled Features for Action Recognition in Videos
* Spatiotemporal Multiplier Networks for Video Action Recognition
* Spatiotemporal Pyramid Network for Video Action Recognition
* Specular Highlight Removal in Facial Images
* Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors
* SPFTN: A Self-Paced Fine-Tuning Network for Segmenting Objects in Weakly Labelled Videos
* SphereFace: Deep Hypersphere Embedding for Face Recognition
* Spindle Net: Person Re-identification with Human Body Region Guided Feature Decomposition and Fusion
* Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction
* Sports Field Localization via Deep Structured Models
* SRN: Side-Output Residual Network for Object Symmetry Detection in the Wild
* SST: Single-Stream Temporal Action Proposals
* Stacked Generative Adversarial Networks
* STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling
* Stereo-Based 3D Reconstruction of Dynamic Fluid Surfaces by Global Optimization
* Straight to Shapes: Real-Time Detection of Encoded Shapes
* Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching, A
* StyleBank: An Explicit Representation for Neural Image Style Transfer
* StyleNet: Generating Attractive Visual Captions with Styles
* Subspace Clustering via Variance Regularized Ridge Regression
* Superpixel-Based Tracking-by-Segmentation Using Markov Chains
* Superpixels and Polygons Using Simple Non-iterative Clustering
* Supervising Neural Attention Models for Video Captioning by Human Gaze Data
* Surface Motion Capture Transfer with Gaussian Process Regression
* Surfacing of Multiview 3D Drawings via Lofting and Occlusion Reasoning, The
* SurfNet: Generating 3D Shape Surfaces Using Deep Residual Networks
* Surveillance Video Parsing with Single Frame Supervision
* Switching Convolutional Neural Network for Crowd Counting
* SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation
* Synthesizing 3D Shapes via Modeling Multi-view Depth Maps and Silhouettes with Deep Generative Networks
* Synthesizing Dynamic Patterns by Spatial-Temporal Generative ConvNet
* Synthesizing Normalized Faces from Facial Identity Features
* Task-Driven Dynamic Fusion: Reducing Ambiguity in Video Description
* Teaching Compositionality to CNNs
* Template Matching with Deformable Diversity Similarity
* Template-Based Monocular 3D Recovery of Elastic Shapes Using Lagrangian Multipliers
* Temporal Action Co-Segmentation in 3D Motion Capture Data and Videos
* Temporal Action Localization by Structured Maximal Sums
* Temporal Attention-Gated Model for Robust Sequence Classification
* Temporal Convolutional Networks for Action Segmentation and Detection
* Temporal Residual Networks for Dynamic Scene Recognition
* TGIF-QA: Toward Spatio-Temporal Reasoning in Visual Question Answering
* Thin-Slicing Network: A Deep Structured Model for Pose Estimation in Videos
* Top-Down Visual Saliency Guided by Captions
* Toroidal Constraints for Two-Point Localization Under High Outlier Ratios
* Towards a Quality Metric for Dense Light Fields
* Towards Accurate Multi-person Pose Estimation in the Wild
* Tracking by Natural Language Specification
* Training Object Class Detectors with Click Supervision
* Transformation-Grounded Image Generation Network for Novel 3D View Synthesis
* Transition Forests: Learning Discriminative Temporal Transitions for Action Recognition and Detection
* Truncated Max-of-Convex Models
* Turning an Urban Scene Video into a Cinemagraph
* UberNet: Training a Universal Convolutional Neural Network for Low-, Mid-, and High-Level Vision Using Diverse Datasets and Limited Memory
* UltraStereo: Efficient Learning-Based Matching for Active Stereo Systems
* Unambiguous Text Localization and Retrieval for Cluttered Scenes
* Understanding Traffic Density from Large-Scale Web Camera Data
* Unified Approach of Multi-scale Deep and Hand-Crafted Features for Defocus Estimation, A
* Unified Embedding and Metric Learning for Zero-Exemplar Event Detection
* Unite the People: Closing the Loop Between 3D and 2D Human Representations
* Universal Adversarial Perturbations
* Unrolling the Shutter: CNN to Correct Motion Distortions
* Unsupervised Adaptive Re-identification in Open World Dynamic Camera Networks
* Unsupervised Learning of Depth and Ego-Motion from Video
* Unsupervised Learning of Long-Term Motion Dynamics for Videos
* Unsupervised Monocular Depth Estimation with Left-Right Consistency
* Unsupervised Part Learning for Visual Recognition
* Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks
* Unsupervised Semantic Scene Labeling for Streaming Data
* Unsupervised Vanishing Point Detection and Camera Calibration from a Single Manhattan Image with Radial Distortion
* Unsupervised Video Summarization with Adversarial LSTM Networks
* Unsupervised Visual-Linguistic Reference Resolution in Instructional Videos
* UntrimmedNets for Weakly Supervised Action Recognition and Detection
* Using Locally Corresponding CAD Models for Dense 3D Reconstructions from a Single Image
* Using Ranking-CNN for Age Estimation
* Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold
* Variational Bayesian Multiple Instance Learning with Gaussian Processes
* Video Acceleration Magnification
* Video Captioning with Transferred Semantic Attributes
* Video Desnowing and Deraining Based on Matrix Decomposition
* Video Frame Interpolation via Adaptive Convolution
* Video Propagation Networks
* Video Segmentation via Multiple Granularity Analysis
* Video2Shop: Exact Matching Clothes in Videos to Online Shopping Images
* VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization
* ViP-CNN: Visual Phrase Guided Convolutional Neural Network
* Viraliency: Pooling Local Virality
* Visual Dialog
* Visual Translation Embedding Network for Visual Relation Detection
* Visual-Inertial-Semantic Scene Representation for 3D Object Detection
* VQA-Machine: Learning How to Use Existing Vision Algorithms to Answer New Questions, The
* Weakly Supervised Action Learning with RNN Based Fine-to-Coarse Modeling
* Weakly Supervised Actor-Action Segmentation via Robust Multi-task Ranking
* Weakly Supervised Affordance Detection
* Weakly Supervised Cascaded Convolutional Networks
* Weakly Supervised Dense Video Captioning
* Weakly Supervised Semantic Segmentation Using Web-Crawled Videos
* Weakly-Supervised Visual Grounding of Phrases with Linguistic Structures
* Webly Supervised Semantic Segmentation
* Weighted-Entropy-Based Quantization for Deep Neural Networks
* Wetness and Color from a Single Multispectral Image
* What Can Help Pedestrian Detection?
* What is and What is Not a Salient Object? Learning Salient Object Detector by Ensembling Linear Exemplar Regressors
* What is the Space of Attenuation Coefficients in Underwater Computer Vision?
* What's in a Question: Using Visual Questions as a Form of Supervision
* Why You Should Forget Luminance Conversion and Do Something Better
* Wide-Field-of-View Monocentric Light Field Camera, A
* WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation
* World of Fast Moving Objects, The
* WSISA: Making Survival Prediction from Whole Slide Histopathological Images
* Xception: Deep Learning with Depthwise Separable Convolutions
* YOLO9000: Better, Faster, Stronger
* YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video
* Zero Shot Learning via Multi-scale Manifold Regularization
* Zero-Shot Action Recognition with Error-Correcting Output Codes
* Zero-Shot Classification with Discriminative Semantic Representation Learning
* Zero-Shot Learning: The Good, the Bad and the Ugly
* Zero-Shot Recognition Using Dual Visual-Semantic Mapping Paths
783 for CVPR17

CVPR18 * *CVPR
* 2D/3D Pose Estimation and Action Recognition Using Multitask Deep Learning
* 3D Human Pose Estimation in the Wild by Adversarial Learning
* 3D Human Sensing, Action and Emotion Recognition in Robot Assisted Therapy of Children with Autism
* 3D Object Detection with Latent Support Surfaces
* 3D Pose Estimation and 3D Model Retrieval for Objects in the Wild
* 3D Registration of Curves and Surfaces Using Local Differential Information
* 3D Semantic Segmentation with Submanifold Sparse Convolutional Networks
* 3D Semantic Trajectory Reconstruction from 3D Pixel Continuum
* 3D-RCNN: Instance-Level 3D Object Reconstruction via Render-and-Compare
* 4D Human Body Correspondences from Panoramic Depth Maps
* 4DFAB: A Large Scale 4D Database for Facial Expression Analysis and Biometric Applications
* A2-RL: Aesthetics Aware Reinforcement Learning for Image Cropping
* Accurate and Diverse Sampling of Sequences Based on a Best of Many Sample Objective
* Action Sets: Weakly Supervised Action Segmentation Without Ordering Constraints
* Active Fixation Control to Predict Saccade Sequences
* Actor and Action Video Segmentation from a Sentence
* Actor and Observer: Joint Modeling of First and Third-Person Videos
* AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation
* Adversarial Complementary Learning for Weakly Supervised Object Localization
* Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled Data
* Adversarial Feature Augmentation for Unsupervised Domain Adaptation
* Adversarially Learned One-Class Classifier for Novelty Detection
* Adversarially Occluded Samples for Person Re-identification
* Aligning Infinite-Dimensional Covariance Matrices in Reproducing Kernel Hilbert Spaces for Domain Adaptation
* Alive Caricature from 2D to 3D
* Alternating-Stereo VINS: Observability Analysis and Performance Evaluation
* AMNet: Memorability Estimation with Attention
* Analysis of Hand Segmentation in the Wild
* Analysis of Scale Invariance in Object Detection - SNIP, An
* Analytic Expressions for Probabilistic Moments of PL-DNN with Gaussian Input
* Analytical Modeling of Vanishing Points and Curves in Catadioptric Cameras
* Analyzing Filters Toward Efficient ConvNet
* Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation
* Anticipating Traffic Accidents with Adaptive Loss and Large-Scale Incident DB
* AON: Towards Arbitrarily-Oriented Text Recognition
* Aperture Supervision for Monocular Depth Estimation
* Appearance-and-Relation Networks for Video Classification
* Arbitrary Style Transfer with Deep Feature Reshuffle
* Are You Talking to Me? Reasoned Visual Dialog Generation Through Adversarial Learning
* Art of Singular Vectors and Universal Adversarial Perturbations
* Attend and Interact: Higher-Order Object Interactions for Video Understanding
* Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification
* Attention-Aware Compositional Network for Person Re-identification
* Attentional ShapeContextNet for Point Cloud Recognition
* Attentive Fashion Grammar Network for Fashion Landmark Detection and Clothing Category Classification
* Attentive Generative Adversarial Network for Raindrop Removal from A Single Image
* AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
* Audio to Body Dynamics
* Augmented Skeleton Space Transfer for Depth-Based Hand Pose Estimation
* Augmenting Crowd-Sourced 3D Reconstructions Using Semantic Detections
* Automatic 3D Indoor Scene Modeling from Single Panorama
* AVA: A Video Dataset of Spatio-Temporally Localized Atomic Visual Actions
* Avatar-Net: Multi-scale Zero-Shot Style Transfer by Feature Decoration
* Baseline Desensitizing in Translation Averaging
* Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions
* Best of Both Worlds: Combining CNNs and Geometric Constraints for Hierarchical Motion Segmentation, The
* Between-Class Learning for Image Classification
* Beyond Grobner Bases: Basis Selection for Minimal Solvers
* Beyond Holistic Object Recognition: Enriching Image Understanding with Part States
* Beyond the Pixel-Wise Loss for Topology-Aware Delineation
* Beyond Trade-Off: Accelerate FCN-Based Face Detector with Higher Accuracy
* Bi-Directional Message Passing Model for Salient Object Detection, A
* Bidirectional Attentive Fusion with Context Gating for Dense Video Captioning
* Bidirectional Retrieval Made Simple
* Bilateral Ordinal Relevance Multi-instance Regression for Facial Action Unit Intensity Estimation
* Biresolution Spectral Framework for Product Quantization, A
* Blazingly Fast Video Object Segmentation with Pixel-Wise Metric Learning
* Blind Predicting Similar Quality Map for Image Quality Assessment
* BlockDrop: Dynamic Inference Paths in Residual Networks
* Boosting Adversarial Attacks with Momentum
* Boosting Domain Adaptation by Discovering Latent Domains
* Boosting Self-Supervised Learning via Knowledge Transfer
* Bootstrapping the Performance of Webly Supervised Semantic Segmentation
* Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
* Boundary Flow: A Siamese Network that Predicts Boundary Motion Without Training on Motion
* BPGrad: Towards Global Optimality in Deep Learning via Branch and Pruning
* Burst Denoising with Kernel Prediction Networks
* Camera Pose Estimation with Unknown Principal Point
* Camera Style Adaptation for Person Re-identification
* Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?
* CarFusion: Combining Point Tracking and Part Detection for Dynamic 3D Reconstruction of Vehicles
* CartoonGAN: Generative Adversarial Networks for Photo Cartoonization
* Cascade R-CNN: Delving Into High Quality Object Detection
* Cascaded Pyramid Network for Multi-person Pose Estimation
* Categorizing Concepts with Basic Level for Vision-to-Language
* Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects, A
* CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation
* Certifiably Globally Optimal Solution to the Non-minimal Relative Pose Problem, A
* Classification-Driven Dynamic Image Enhancement
* Classifier Learning with Prior Probabilities for Facial Action Unit Recognition
* clcNet: Improving the Efficiency of Convolutional Neural Network Using Channel Local Convolutions
* CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise
* CLEAR: Cumulative LEARning for One-Shot One-Class Image Recognition
* Clinical Skin Lesion Diagnosis Using Representations Inspired by Dermatologist Criteria
* CLIP-Q: Deep Network Compression Learning by In-parallel Pruning-Quantization
* Closer Look at Spatiotemporal Convolutions for Action Recognition, A
* ClusterNet: Detecting Small Objects in Large Scenes by Exploiting Spatio-Temporal Information
* CNN Based Learning Using Reflection and Retinex Models for Intrinsic Image Decomposition
* CNN Driven Sparse Multi-level B-Spline Image Registration
* CNN in MRF: Video Object Segmentation via Inference in a CNN-Based Higher-Order Spatio-Temporal MRF
* COCO-Stuff: Thing and Stuff Classes in Context
* CodeSLAM: Learning a Compact, Optimisable Representation for Dense Visual SLAM
* Coding Kendall's Shape Trajectories for 3D Action Recognition
* Collaborative and Adversarial Network for Unsupervised Domain Adaptation
* Common Framework for Interactive Texture Transfer, A
* Compare and Contrast: Learning Prominent Visual Differences
* Compassionately Conservative Balanced Cuts for Image Segmentation
* Compressed Video Action Recognition
* CondenseNet: An Efficient DenseNet Using Learned Group Convolutions
* Conditional Generative Adversarial Network for Structured Domain Adaptation
* Conditional Image-to-Image Translation
* Conditional Probability Models for Deep Image Compression
* Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images
* Consensus Maximization for Semantic Region Correspondences
* Constrained Deep Neural Network for Ordinal Regression, A
* Content-Sensitive Supervoxels via Uniform Tessellations on Video Manifolds
* Context Contrasted Feature and Gated Multi-scale Aggregation for Scene Segmentation
* Context Embedding Networks
* Context Encoding for Semantic Segmentation
* Context-Aware Deep Feature Compression for High-Speed Visual Tracking
* Context-Aware Synthesis for Video Frame Interpolation
* Continuous Relaxation of MAP Inference: A Nonconvex Perspective
* Controllable Video Generation with Sparse Trajectories
* Convolutional Image Captioning
* Convolutional Neural Networks with Alternately Updated Clique
* Convolutional Sequence to Sequence Model for Human Dynamics
* Correlation Tracking via Joint Discrimination and Reliability Learning
* CosFace: Large Margin Cosine Loss for Deep Face Recognition
* Coupled End-to-End Transfer Learning with Generalized Fisher Information
* Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning
* Creating Capsule Wardrobes from Fashion Images
* Cross-Dataset Adaptation for Visual Question Answering
* Cross-Domain Self-Supervised Multi-task Feature Learning Using Synthetic Imagery
* Cross-Domain Weakly-Supervised Object Detection Through Progressive Domain Adaptation
* Cross-Modal Deep Variational Hand Pose Estimation
* Cross-View Image Synthesis Using Conditional GANs
* Crowd Counting via Adversarial Cross-Scale Consistency Pursuit
* Crowd Counting with Deep Negative Correlation Learning
* CRRN: Multi-scale Guided Concurrent Reflection Removal Network
* CSGNet: Neural Shape Parser for Constructive Solid Geometry
* CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes
* Cube Padding for Weakly-Supervised Saliency Prediction in 360░ Videos
* Curve Reconstruction via the Global Statistics of Natural Curves
* Customized Image Narrative Generation via Interactive Visual Question Generation and Answering
* CVM-Net: Cross-View Matching Network for Image-Based Ground-to-Aerial Geo-Localization
* DA-GAN: Instance-Level Image Translation by Deep Attention Generative Adversarial Networks
* Data Distillation: Towards Omni-Supervised Learning
* DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks
* DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation
* Decorrelated Batch Normalization
* Decoupled Networks
* Deep Adversarial Metric Learning
* Deep Adversarial Subspace Clustering
* Deep Back-Projection Networks for Super-Resolution
* Deep Cauchy Hashing for Hamming Space Retrieval
* Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift
* Deep Cost-Sensitive and Order-Preserving Feature Learning for Cross-Population Age Estimation
* Deep Cross-Media Knowledge Transfer
* Deep Density Clustering of Unconstrained Faces
* Deep Depth Completion of a Single RGB-D Image
* Deep Diffeomorphic Transformer Networks
* Deep End-to-End Time-of-Flight Imaging
* Deep Extreme Cut: From Extreme Points to Object Segmentation
* Deep Face Detector Adaptation Without Negative Transfer or Catastrophic Forgetting
* Deep Group-Shuffling Random Walk for Person Re-identification
* Deep Hashing via Discrepancy Minimization
* Deep Image Prior
* Deep Layer Aggregation
* Deep Learning of Graph Matching
* Deep Learning Under Privileged Information Using Heteroscedastic Dropout
* Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database
* Deep Marching Cubes: Learning Explicit Surface Representations
* Deep Material-Aware Cross-Spectral Stereo Matching
* Deep Mutual Learning
* Deep Ordinal Regression Network for Monocular Depth Estimation
* Deep Parametric Continuous Convolutional Neural Networks
* Deep Photo Enhancer: Unpaired Learning for Image Enhancement from Photographs with GANs
* Deep Progressive Reinforcement Learning for Skeleton-Based Action Recognition
* Deep Regression Forests for Age Estimation
* Deep Reinforcement Learning of Region Proposal Networks for Object Detection
* Deep Semantic Face Deblurring
* Deep Sparse Coding for Invariant Multimodal Halle Berry Neurons
* Deep Spatial Feature Reconstruction for Partial Person Re-identification: Alignment-free Approach
* Deep Spatio-Temporal Random Fields for Efficient Video Segmentation
* Deep Texture Manifold for Ground Terrain Recognition
* Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective
* Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation
* Deeper Look at Power Normalizations, A
* Deeply Learned Filter Response Functions for Hyperspectral Reconstruction
* DeepMVS: Learning Multi-view Stereopsis
* DeepVoting: A Robust and Explainable Deep Network for Semantic Part Detection Under Partial Occlusion
* Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser
* Defense Against Universal Adversarial Perturbations
* Deflecting Adversarial Attacks with Pixel Deflection
* Defocus Blur Detection via Multi-stream Bottom-Top-Bottom Fully Convolutional Network
* Deformable GANs for Pose-Based Human Image Generation
* Deformable Shape Completion with Graph Convolutional Autoencoders
* Deformation Aware Image Compression
* DeLS-3D: Deep Localization and Segmentation with a 3D Semantic Map
* Demo2Vec: Reasoning Object Affordances from Online Videos
* Dense 3D Regression for Hand Pose Estimation
* Dense Decoder Shortcut Connections for Single-Pass Semantic Segmentation
* DenseASPP for Semantic Segmentation in Street Scenes
* Densely Connected Pyramid Dehazing Network
* DensePose: Dense Human Pose Estimation in the Wild
* Density Adaptive Point Set Registration
* Density-Aware Single Image De-raining Using a Multi-stream Dense Network
* Depth and Transient Imaging with Compressive SPAD Array Cameras
* Depth-Aware Stereo Video Retargeting
* Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals
* Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation
* Detail-Preserving Pooling in Deep Networks
* Detect Globally, Refine Locally: A Novel Approach to Saliency Detection
* Detect-and-Track: Efficient Pose Estimation in Videos
* Detecting and Recognizing Human-Object Interactions
* Differential Attention for Visual Question Answering
* Dimensionality's Blessing: Clustering Images by Underlying Distribution
* Direct Shape Regression Networks for End-to-End Face Alignment
* Direction-Aware Spatial Context Features for Shadow Detection
* Discovering Point Lights with Intensity Distance Fields
* Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs
* Discriminability Objective for Training Descriptive Captions
* Discriminative Learning of Latent Features for Zero-Shot Recognition
* Disentangled Person Image Generation
* Disentangling 3D Pose in a Dendritic CNN for Unconstrained 2D Face Alignment
* Disentangling Factors of Variation by Mixing Them
* Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition
* Disentangling Structure and Aesthetics for Style-Aware Image Completion
* Distort-and-Recover: Color Enhancement Using Deep Reinforcement Learning
* Distributable Consistent Multi-object Matching
* DiverseNet: When One Right Answer is not Enough
* Diversity Regularized Spatiotemporal Attention for Video-Based Person Re-identification
* Divide and Conquer for Full-Resolution Light Field Deblurring
* Divide and Grow: Capturing Huge Diversity in Crowd Images with Incrementally Growing CNN
* Document Enhancement Using Visibility Detection
* DocUNet: Document Image Unwarping via a Stacked U-Net
* Domain Adaptive Faster R-CNN for Object Detection in the Wild
* Domain Generalization with Adversarial Feature Learning
* Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering
* DOTA: A Large-Scale Dataset for Object Detection in Aerial Images
* DoubleFusion: Real-Time Capture of Human Performances with Inner Body Shapes from a Single Depth Sensor
* DS*: Tighter Lifting-Free Convex Relaxations for Quadratic Matching Problems
* Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification
* Dual Skipping Networks
* Duplex Generative Adversarial Network for Unsupervised Domain Adaptation
* DVQA: Understanding Data Visualizations via Question Answering
* Dynamic Feature Learning for Partial Face Recognition
* Dynamic Few-Shot Visual Learning Without Forgetting
* Dynamic Graph Generation Network: Generating Relational Knowledge from Diagrams
* Dynamic Scene Deblurring Using Spatially Variant Recurrent Neural Networks
* Dynamic Video Segmentation Network
* Dynamic Zoom-in Network for Fast Object Detection in Large Images
* Dynamic-Structured Semantic Propagation Network
* Easy Identification from Better Constraints: Multi-shot Person Re-identification from Reference Constraints
* Edit Probability for Scene Text Recognition
* Efficient and Deep Person Re-identification Using Multi-level Similarity
* Efficient and Provable Approach for Mixture Proportion Estimation Using Linear Independence Assumption, An
* Efficient Diverse Ensemble for Discriminative Co-tracking
* Efficient Interactive Annotation of Segmentation Datasets with Polygon-RNN++
* Efficient Large-Scale Approximate Nearest Neighbor Search on OpenCL FPGA
* Efficient Optimization for Rank-Based Loss Functions
* Efficient Parametrization of Multi-domain Deep Neural Networks
* Efficient Subpixel Refinement with Symbolic Linear Predictors
* Efficient Video Object Segmentation via Network Modulation
* Efficient, Sparse Representation of Manifold Distance Matrices for Classical Scaling
* Egocentric Activity Recognition on a Budget
* Egocentric Basketball Motion Planning from a Single First-Person Image
* Eliminating Background-bias for Robust Person Re-identification
* Embodied Question Answering
* Emotional Attention: A Study of Image Sentiment and Visual Attention
* Empirical Study of the Topology and Geometry of Deep Networks
* Encoding Crowd Interaction with Deep Neural Network for Pedestrian Trajectory Prediction
* End-to-End Convolutional Semantic Embeddings
* End-to-End Deep Kronecker-Product Matching for Person Re-identification
* End-to-End Dense Video Captioning with Masked Transformer
* End-to-End Flow Correlation Tracking with Spatial-Temporal Attention
* End-to-End Learning of Keypoint Detector and Descriptor for Pose Invariant 3D Matching
* End-to-End Learning of Motion Representation for Video Understanding
* End-to-End Recovery of Human Shape and Pose
* End-to-End TextSpotter with Explicit Alignment and Attention, An
* End-to-End Weakly-Supervised Semantic Alignment
* Enhancing the Spatial Resolution of Stereo Images Using a Parallax Prior
* Environment Upgrade Reinforcement Learning for Non-differentiable Multi-stage Pipelines
* EPINET: A Fully-Convolutional Neural Network Using Epipolar Geometry for Depth from Light Field Images
* Erase or Fill? Deep Joint Recurrent Rain Removal and Reconstruction in Videos
* Estimation of Camera Locations in Highly Corrupted Scenarios: All About that Base, No Shape Trouble
* Event-Based Vision Meets Deep Learning on Steering Prediction for Self-Driving Cars
* Every Smile is Unique: Landmark-Guided Diverse Smile Generation
* Excitation Backprop for RNNs
* Explicit Loss-Error-Aware Quantization for Low-Bit Deep Neural Networks
* Exploit the Unknown Gradually: One-Shot Video-Based Person Re-identification by Stepwise Learning
* Exploiting Transitivity for Learning Person Re-identification Models on a Budget
* Exploring Disentangled Feature Representation Beyond Face Identification
* Extreme 3D Face Reconstruction: Seeing Through Occlusions
* Eye In-painting with Exemplar Generative Adversarial Networks
* Face Aging with Identity-Preserved Conditional Generative Adversarial Networks
* Face-to-Face Neural Conversation Model, A
* FaceID-GAN: Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis
* Facelet-Bank for Fast Portrait Manipulation
* Facial Expression Recognition by De-expression Residue Learning
* Factoring Shape, Pose, and Layout from the 2D Image of a 3D Scene
* Fast and Accurate Online Video Object Segmentation via Tracking Parts
* Fast and Accurate Single Image Super-Resolution via Information Distillation Network
* Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net
* Fast and Robust Estimation for Unit-Norm Constrained Linear Fitting Problems
* Fast End-to-End Trainable Guided Filter
* Fast Monte-Carlo Localization on Aerial Vehicles Using Approximate Continuous Belief Representations
* Fast Resection-Intersection Method for the Known Rotation Problem, A
* Fast Spectral Ranking for Similarity Search
* Fast Video Object Segmentation by Reference-Guided Mask Propagation
* FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis
* Feature Generating Networks for Zero-Shot Learning
* Feature Mapping for Learning Fast and Accurate 3D Pose Inference from Synthetic Images
* Feature Quantization for Defending Against Distortion of Images
* Feature Selective Networks for Object Detection
* Feature Space Transfer for Data Augmentation
* Feature Super-Resolution: Make Machine See More Clearly
* Features for Multi-target Multi-camera Tracking and Re-identification
* Feedback-Prop: Convolutional Neural Network Inference Under Partial Evidence
* Few-Shot Image Recognition by Predicting Parameters from Activations
* FFNet: Video Fast-Forwarding via Reinforcement Learning
* Fight Ill-Posedness with Ill-Posedness: Single-shot Variational Depth Super-Resolution from Shading
* Finding Beans in Burgers: Deep Semantic-Visual Embedding with Localization
* Finding It: Weakly-Supervised Reference-Aware Visual Grounding in Instructional Videos
* Finding Tiny Faces in the Wild with Generative Adversarial Network
* Fine-Grained Video Captioning for Sports Narrative
* First-Person Hand Action Benchmark with RGB-D Videos and 3D Hand Pose Annotations
* Five-Point Fundamental Matrix Estimation for Uncalibrated Cameras
* FLIPDIAL: A Generative Model for Two-Way Visual Dialogue
* Flow Guided Recurrent Neural Encoder for Video Salient Object Detection
* Focal Visual-Text Attention for Visual Question Answering
* Focus Manipulation Detection via Photometric Histogram Analysis
* FoldingNet: Point Cloud Auto-Encoder via Deep Grid Deformation
* Fooling Vision and Language Models Despite Localization and Attention Mechanism
* FOTS: Fast Oriented Text Spotting with a Unified Network
* Frame-Recurrent Video Super-Resolution
* Free Supervision from Video Games
* From Lifestyle Vlogs to Everyday Interactions
* From Source to Target and Back: Symmetric Bi-Directional Adaptive GAN
* Frustum PointNets for 3D Object Detection from RGB-D Data
* FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors
* Fully Convolutional Adaptation Networks for Semantic Segmentation
* Functional Map of the World
* Fusing Crowd Density Maps and Visual Object Trackers for People Tracking in Crowd Scenes
* Future Frame Prediction for Anomaly Detection - A New Baseline
* Future Person Localization in First-Person Videos
* GAGAN: Geometry-Aware Generative Adversarial Networks
* GANerated Hands for Real-Time 3D Hand Tracking from Monocular RGB
* Gated Fusion Network for Single Image Dehazing
* Gaze Prediction in Dynamic 360░ Immersive Videos
* Generalized Zero-Shot Learning via Synthesized Examples
* Generate to Adapt: Aligning Domains Using Generative Adversarial Networks
* Generating a Fusion Image: One's Identity and Another's Shape
* Generating Synthetic X-Ray Images of a Person from the Surface Geometry
* Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts, A
* Generative Adversarial Image Synthesis with Decision Tree Latent Controller
* Generative Adversarial Learning Towards Fast Weakly Supervised Detection
* Generative Adversarial Perturbations
* Generative Image Inpainting with Contextual Attention
* Generative Modeling Using the Sliced Wasserstein Distance
* Geometric Multi-model Fitting with a Convex Relaxation Algorithm
* Geometric Robustness of Deep Networks: Analysis and Improvement
* Geometry Aware Constrained Optimization Techniques for Deep Learning
* Geometry Guided Convolutional Neural Networks for Self-Supervised Video Representation Learning
* Geometry-Aware Deep Network for Single-Image Novel View Synthesis
* Geometry-Aware Learning of Maps for Camera Localization
* Geometry-Aware Network for Non-rigid Shape Prediction from a Single View
* Geometry-Aware Scene Text Detection with Instance Transformation Network
* GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation
* GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose
* Gesture Recognition: Focus on the Hands
* Gibson Env: Real-World Perception for Embodied Agents
* Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points
* Global Versus Localized Generative Adversarial Nets
* Globally Optimal Inlier Set Maximization for Atlanta Frame Estimation
* Going from Image to Video Saliency: Augmenting Image Salience with Dynamic Attentional Push
* Good View Hunting: Learning Photo Composition from Dense View Pairs
* Graph-Cut RANSAC
* GraphBit: Bitwise Interaction Mining via Deep Reinforcement Learning
* Grounding Referring Expressions in Images by Variational Context
* Group Consistent Similarity Learning via Deep CRF for Person Re-identification
* GroupCap: Group-Based Image Captioning with Structured Relevance and Diversity Constraints
* Guide Me: Interacting with Deep Networks
* Guided Proofreading of Automatic Segmentations for Connectomics
* GVCNN: Group-View Convolutional Neural Networks for 3D Shape Recognition
* Hallucinated-IQA: No-Reference Image Quality Assessment via Adversarial Learning
* Hand PointNet: 3D Hand Pose Estimation Using Point Sets
* Harmonious Attention Network for Person Re-identification
* HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN
* Hashing as Tie-Aware Learning to Rank
* HATS: Histograms of Averaged Time Surfaces for Robust Event-Based Object Classification
* Hierarchical Generative Model for Eye Image Synthesis and Eye Gaze Estimation, A
* Hierarchical Novelty Detection for Visual Object Recognition
* Hierarchical Recurrent Attention Networks for Structured Online Maps
* High Performance Visual Tracking with Siamese Region Proposal Network
* High-Order Tensor Regularization with Application to Attribute Ranking
* High-Quality Denoising Dataset for Smartphone Cameras, A
* High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
* High-Speed Tracking with Multi-kernel Correlation Filters
* HSA-RNN: Hierarchical Structure-Adaptive RNN for Video Summarization
* Human Appearance Transfer
* Human Pose Estimation with Parsing Induced Learner
* Human Semantic Parsing for Person Re-identification
* Human-Centric Indoor Scene Synthesis Using Stochastic Grammar
* Hybrid Camera Pose Estimation
* Hybrid L1-L0 Layer Decomposition Model for Tone Mapping, A
* HydraNets: Specialized Dynamic Architectures for Efficient Inference
* Hyperparameter Optimization for Tracking with Continuous Deep Q-Learning
* ICE-BA: Incremental, Consistent and Efficient Bundle Adjustment for Visual-Inertial SLAM
* Illuminant Spectra-Based Source Separation Using Flash Photography
* Im2Flow: Motion Hallucination from Static Images for Action Recognition
* Im2Pano3D: Extrapolating 360░ Structure and Semantics Beyond the Field of View
* Im2Struct: Recovering 3D Shape Structure from a Single RGB Image
* Image Blind Denoising with Generative Adversarial Network Based Noise Modeling
* Image Collection Pop-up: 3D Reconstruction and Clustering of Rigid and Non-rigid Categories
* Image Correction via Deep Reciprocating HDR Transformation
* Image Generation from Scene Graphs
* Image Restoration by Estimating Frequency Distribution of Local Patches
* Image Super-Resolution via Dual-State Recurrent Networks
* Image to Image Translation for Domain Adaptation
* Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification
* Importance Weighted Adversarial Nets for Partial Domain Adaptation
* Improved Fusion of Visual and Language Representations by Dense Symmetric Co-attention for Visual Question Answering
* Improved Lossy Image Compression with Priming and Spatially Adaptive Bit Rates for Recurrent Networks
* Improvements to Context Based Self-Supervised Learning
* Improving Color Reproduction Accuracy on Cameras
* Improving Landmark Localization with Semi-Supervised Learning
* Improving Object Localization with Fitness NMS and Bounded IoU Loss
* Improving Occlusion and Hard Negative Handling for Single-Stage Pedestrian Detectors
* In-place Activated BatchNorm for Memory-Optimized Training of DNNs
* iNaturalist Species Classification and Detection Dataset, The
* Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN
* Indoor RGB-D Compass from a Single Line and Plane
* Inference in Higher Order MRF-MAP Problems with Small and Large Cliques
* Inferring Light Fields from Shadows
* Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis
* Inferring Shared Attention in Social Scene Videos
* InLoc: Indoor Visual Localization with Dense Matching and View Synthesis
* Instance Embedding Transfer to Unsupervised Video Object Segmentation
* Interactive Image Segmentation with Latent Diversity
* Interleaved Structured Sparse Convolutional Neural Networks
* Interpret Neural Networks by Identifying Critical Data Routing Paths
* Interpretable Convolutional Neural Networks
* Interpretable Video Captioning via Trajectory Structured Localization
* Intrinsic Image Transformation via Scale Space Decomposition
* Inverse Composition Discriminative Optimization for Point Cloud Registration
* InverseFaceNet: Deep Monocular Inverse Face Rendering
* IQA: Visual Question Answering in Interactive Environments
* ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing
* Iterative Learning with Open-set Noisy Labels
* Iterative Visual Reasoning Beyond Convolutions
* iVQA: Inverse Visual Question Answering
* Jerk-Aware Video Acceleration Magnification
* Joint Cuts and Matching of Partitions in One Graph
* Joint Optimization Framework for Learning with Noisy Labels
* Joint Pose and Expression Modeling for Facial Expression Recognition
* Jointly Localizing and Describing Events for Dense Video Captioning
* Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation
* Kernelized Subspace Pooling for Deep Local Descriptors
* KIPPI: KInetic Polygonal Partitioning of Images
* Knowledge Aided Consistency for Weakly Supervised Phrase Grounding
* Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Faces
* LAMV: Learning to Align and Match Videos with Kernelized Temporal Layers
* Language-Based Image Editing with Recurrent Attentive Models
* Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning
* Large-Scale Distance Metric Learning with Uncertainty
* Large-Scale Point Cloud Semantic Segmentation with Superpoint Graphs
* Latent RANSAC
* LayoutNet: Reconstructing the 3D Room Layout from a Single RGB Image
* LDMNet: Low Dimensional Manifold Regularized Neural Networks
* Lean Multiclass Crowdsourcing
* Learned Shape-Tailored Descriptors for Segmentation
* Learning 3D Shape Completion from Laser Scan Data with Weak Supervision
* Learning a Complete Image Indexing Pipeline
* Learning a Discriminative Feature Network for Semantic Segmentation
* Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition
* Learning a Discriminative Prior for Blind Image Deblurring
* Learning a Single Convolutional Super-Resolution Network for Multiple Degradations
* Learning and Using the Arrow of Time
* Learning Answer Embeddings for Visual Question Answering
* Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking
* Learning Attribute Representations with Localization for Flexible Fashion Search
* Learning by Asking Questions
* Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition
* Learning Compositional Visual Concepts with Mutual Consistency
* Learning Compressible 360░ Video Isomers
* Learning Convolutional Networks for Content-Weighted Image Compression
* Learning Deep Descriptors with Scale-Aware Triplet Networks
* Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision
* Learning Deep Sketch Abstraction
* Learning Deep Structured Active Contours End-to-End
* Learning Depth from Monocular Videos Using Direct Methods
* Learning Descriptor Networks for 3D Shape Synthesis and Analysis
* Learning Distributions of Shape Trajectories from Longitudinal Datasets: A Hierarchical Model on a Manifold of Diffeomorphisms
* Learning Dual Convolutional Neural Networks for Low-Level Vision
* Learning Face Age Progression: A Pyramid Architecture of GANs
* Learning Facial Action Units from Web Images with Scalable Weakly Supervised Clustering
* Learning for Disparity Estimation Through Feature Constancy
* Learning from Millions of 3D Scans for Large-Scale 3D Face Recognition
* Learning from Noisy Web Data with Category-Level Supervision
* Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation
* Learning Generative ConvNets via Multi-grid Modeling and Sampling
* Learning Globally Optimized Object Detector via Policy Gradient
* Learning Intelligent Dialogs for Bounding Box Annotation
* Learning Intrinsic Image Decomposition from Watching the World
* Learning Latent Super-Events to Detect Multiple Activities in Videos
* Learning Less is More: 6D Camera Localization via 3D Surface Regression
* Learning Markov Clustering Networks for Scene Text Detection
* Learning Monocular 3D Human Pose Estimation from Multi-view Images
* Learning Multi-instance Enriched Image Representations via Non-greedy Ratio Maximization of the L1-Norm Distances
* Learning Patch Reconstructability for Accelerating Multi-view Stereo
* Learning Pixel-Level Semantic Affinity with Image-Level Supervision for Weakly Supervised Semantic Segmentation
* Learning Pose Specific Representations by Predicting Different Views
* Learning Rich Features for Image Manipulation Detection
* Learning Semantic Concepts and Order for Image and Sentence Matching
* Learning Spatial-Aware Regressions for Visual Tracking
* Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking
* Learning Steerable Filters for Rotation Equivariant CNNs
* Learning Strict Identity Mappings in Deep Residual Networks
* Learning Structure and Strength of CNN Filters for Small Sample Size Training
* Learning Superpixels with Segmentation-Aware Affinity Loss
* Learning Time/Memory-Efficient Deep Architectures with Budgeted Super Networks
* Learning to Act Properly: Predicting and Explaining Affordances from Images
* Learning to Adapt Structured Output Space for Semantic Segmentation
* Learning to Compare: Relation Network for Few-Shot Learning
* Learning to Detect Features in Texture Images
* Learning to Estimate 3D Human Pose and Shape from a Single Color Image
* Learning to Evaluate Image Captioning
* Learning to Extract a Video Sequence from a Single Motion-Blurred Image
* Learning to Find Good Correspondences
* Learning to Generate Time-Lapse Videos Using Multi-stage Dynamic Generative Adversarial Networks
* Learning to Localize Sound Source in Visual Scenes
* Learning to Look Around: Intelligently Exploring Unseen Environments for Unknown Tasks
* Learning to Parse Wireframes in Images of Man-Made Environments
* Learning to Promote Saliency Detectors
* Learning to See in the Dark
* Learning to Segment Every Thing
* Learning to Sketch with Shortcut Cycle Consistency
* Learning to Understand Image Blur
* Learning Transferable Architectures for Scalable Image Recognition
* Learning Visual Knowledge Memory Networks for Visual Question Answering
* Learning-Compression Algorithms for Neural Net Pruning
* Left-Right Comparative Recurrent Model for Stereo Matching
* LEGO: Learning Edge with Geometry all at Once by Watching Videos
* Leveraging Unlabeled Data for Crowd Counting by Learning to Rank
* LiDAR-Video Driving Dataset: Learning Driving Policies Effectively
* Light Field Intrinsics with a Deep Encoder-Decoder Network
* Lightweight Probabilistic Deep Networks
* LIME: Live Intrinsic Material Estimation
* Link and Code: Fast Indexing with Graphs and Compact Regression Codes
* Lions and Tigers and Bears: Capturing Non-rigid, 3D, Articulated Shape from Images
* LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation
* Local and Global Optimization Techniques in Graph-Based Clustering
* Local Descriptors Optimized for Average Precision
* Logo Synthesis and Manipulation with Clustered Generative Adversarial Networks
* Long-Term On-board Prediction of People in Traffic Scenes Under Uncertainty
* Look at Boundary: A Boundary-Aware Face Alignment Algorithm
* Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval with Generative Models
* Lose the Views: Limited Angle CT Reconstruction via Implicit Sinogram Completion
* Lovasz-Softmax Loss: A Tractable Surrogate for the Optimization of the Intersection-Over-Union Measure in Neural Networks, The
* Low Power, High Throughput, Fully Event-Based Stereo System, A
* Low-Latency Video Semantic Segmentation
* Low-Shot Learning from Imaginary Data
* Low-Shot Learning with Imprinted Weights
* Low-Shot Learning with Large-Scale Diffusion
* LSTM Pose Machines
* M3: Multimodal Memory Modelling for Video Captioning
* Making Convolutional Networks Recurrent for Visual Sequence Learning
* Manifold Learning in Quotient Spaces
* MapNet: An Allocentric Spatial Memory for Mapping Environments
* Mask-Guided Contrastive Attention Model for Person Re-identification
* MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features
* Matching Adversarial Networks
* Matching Pixels Using Co-occurrence Statistics
* Matryoshka Networks: Predicting 3D Geometry via Nested Shape Layers
* MAttNet: Modular Attention Network for Referring Expression Comprehension
* Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
* Mean-Variance Loss for Deep Age Estimation from a Face
* MegaDepth: Learning Single-View Depth Prediction from Internet Photos
* MegDet: A Large Mini-Batch Object Detector
* Memory Based Online Learning of Deep Representations from Video Streams
* Memory Matching Networks for One-Shot Image Recognition
* Memory Network Approach for Story-Based Temporal Summarization of 360░ Videos, A
* Mesoscopic Facial Geometry Inference Using Deep Neural Networks
* MiCT: Mixed 3D/2D Convolutional Tube for Human Action Recognition
* Min-Entropy Latent Model for Weakly Supervised Object Detection
* Minimalist Approach to Type-Agnostic Detection of Quadrics in Point Clouds, A
* Mining on Manifolds: Metric Learning Without Labels
* Mining Point Cloud Local Structures by Kernel Correlation and Graph Pooling
* Missing Slice Recovery for Tensors Using a Low-Rank Model in Embedded Space
* Mix and Match Networks: Encoder-Decoder Alignment for Zero-Pair Image Translation
* Mobile Video Object Detection with Temporally-Aware Feature Maps
* MobileNetV2: Inverted Residuals and Linear Bottlenecks
* MoCoGAN: Decomposing Motion and Content for Video Generation
* Modeling Facial Geometry Using Compositional VAEs
* Modifying Non-local Variations Across Multiple Views
* Modulated Convolutional Networks
* MoNet: Deep Motion Exploitation for Video Object Segmentation
* MoNet: Moments Embedding Network
* Monocular 3D Pose and Shape Estimation of Multiple People in Natural Scenes: The Importance of Multiple Scene Constraints
* Monocular Relative Depth Perception with Web Stereo Data Supervision
* MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks
* Motion Segmentation by Exploiting Complementary Geometric Models
* Motion-Appearance Co-memory Networks for Video Question Answering
* Motion-Guided Cascaded Refinement Network for Video Object Segmentation
* MovieGraphs: Towards Understanding Human-Centric Situations from Videos
* Multi-agent Diverse Generative Adversarial Networks
* Multi-cell Detection and Classification Using a Generative Convolutional Model
* Multi-content GAN for Few-Shot Font Style Transfer
* Multi-cue Correlation Filters for Robust Visual Tracking
* Multi-evidence Filtering and Fusion for Multi-label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning
* Multi-frame Quality Enhancement for Compressed Video
* Multi-image Semantic Matching by Mining Consistent Features
* Multi-label Zero-Shot Learning with Structured Knowledge Graphs
* Multi-level Factorisation Net for Person Re-identification
* Multi-Level Fusion Based 3D Object Detection from Monocular Images
* Multi-oriented Scene Text Detection via Corner Localization and Region Segmentation
* Multi-scale Location-Aware Kernel Representation for Object Detection
* Multi-scale Weighted Nuclear Norm Image Restoration
* Multi-shot Pedestrian Re-identification via Sequential Decision Making
* Multi-task Adversarial Network for Disentangled Feature Learning
* Multi-task Learning by Maximizing Statistical Dependence
* Multi-task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
* Multi-view Consistency as Supervisory Signal for Learning Shape and Pose Prediction
* Multi-view Harmonized Bilinear Network for 3D Object Recognition
* Multimodal Explanations: Justifying Decisions and Pointing to the Evidence
* Multimodal Visual Concept Learning with Weakly Supervised Techniques
* Multiple Granularity Group Interaction Prediction
* Multispectral Image Intrinsic Decomposition via Subspace Constraint
* Multistage Adversarial Losses for Pose-Based Human Image Synthesis
* MX-LSTM: Mixing Tracklets and Vislets to Jointly Forecast Trajectories and Head Poses
* NAG: Network for Adversary Generation
* Natural and Effective Obfuscation by Head Inpainting
* NestedNet: Learning Nested Sparse Structures in Deep Neural Networks
* Net2Vec: Quantifying and Explaining How Concepts are Encoded by Filters in Deep Neural Networks
* Network Architecture for Point Cloud Classification via Automatic Depth Images Generation, A
* Neural 3D Mesh Renderer
* Neural Baby Talk
* Neural Kinematic Networks for Unsupervised Motion Retargetting
* Neural Motifs: Scene Graph Parsing with Global Context
* Neural Multi-sequence Alignment TeCHnique (NeuMATCH), A
* Neural Sign Language Translation
* Neural Style Transfer via Meta Networks
* NeuralNetwork-Viterbi: A Framework for Weakly Supervised Video Learning
* NISP: Pruning Networks Using Neuron Importance Score Propagation
* Non-blind Deblurring: Handling Kernel Uncertainty with CNNs
* Non-linear Temporal Subspace Representations for Activity Recognition
* Non-local Neural Networks
* Nonlinear 3D Face Morphable Model
* Nonlocal Low-Rank Tensor Factor Analysis for Image Restoration
* Normalized Cut Loss for Weakly-Supervised CNN Segmentation
* Now You Shake Me: Towards Automatic 4D Cinema
* OATM: Occlusion Aware Template Matching by Consensus Set Maximization
* Object Referring in Videos with Language and Human Gaze
* Objects as Context for Detecting Their Semantic Parts
* Occluded Pedestrian Detection Through Guided Attention in CNNs
* Occlusion Aware Unsupervised Learning of Optical Flow
* Occlusion-Aware Rolling Shutter Rectification of 3D Scenes
* OLE: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep Learning
* On the Convergence of PatchMatch and Its Variants
* On the Duality Between Retinex and Image Dehazing
* On the Importance of Label Quality for Semantic Segmentation
* On the Robustness of Semantic Segmentation Models to Adversarial Attacks
* One-Shot Action Localization by Learning Sequence Matching Network
* Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition
* Optimal Structured Light a la Carte
* Optimizing Filter Size in Convolutional Neural Networks for Facial Action Unit Recognition
* Optimizing Video Object Detection via a Scale-Time Lattice
* Ordinal Depth Supervision for 3D Human Pose Estimation
* PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
* PAD-Net: Multi-tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing
* PairedCycleGAN: Asymmetric Style Transfer for Applying and Removing Makeup
* Papier-Mache Approach to Learning 3D Surface Generation, A
* Parallel Attention: A Unified Framework for Visual Object Discovery Through Dialogs and Queries
* Partial Transfer Learning with Selective Adversarial Networks
* Partially Shared Multi-task Convolutional Neural Network with Local Constraint for Face Attribute Learning
* Path Aggregation Network for Instance Segmentation
* People, Penguins and Petri Dishes: Adapting Object Counting Models to New Visual Domains and Object Types Without Forgetting
* Perception-Distortion Tradeoff, The
* Perceptual Measure for Deep Single Image Camera Calibration, A
* Person Re-identification with Cascaded Pairwise Convolutions
* Person Transfer GAN to Bridge Domain Gap for Person Re-identification
* Perturbative Neural Networks
* PhaseNet for Video Frame Interpolation
* Photographic Text-to-Image Synthesis with a Hierarchically-Nested Adversarial Network
* Photometric Stereo in Participating Media Considering Shape-Dependent Forward Scatter
* PiCANet: Learning Pixel-Wise Contextual Attention for Saliency Detection
* PID Controller Approach for Stochastic Optimization of Deep Networks, A
* PieAPP: Perceptual Image-Error Assessment Through Pairwise Preference
* Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling
* Pixels, Voxels, and Views: A Study of Shape Representations for Single View 3D Object Shape Prediction
* PIXOR: Real-time 3D Object Detection from Point Clouds
* Planar Shape Detection at Structural Scales
* PlaneNet: Piece-Wise Planar Reconstruction from a Single RGB Image
* PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation
* PointGrid: A Deep Network for 3D Shape Understanding
* PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition
* Pointwise Convolutional Neural Networks
* Polarimetric Dense Monocular SLAM
* Pose Transferrable Person Re-identification
* Pose-Guided Photorealistic Face Rotation
* Pose-Robust Face Recognition via Deep Residual Equivariant Mapping
* Pose-Sensitive Embedding for Person Re-identification with Expanded Cross Neighborhood Re-ranking, A
* pOSE: Pseudo Object Space Error for Initialization-Free Bundle Adjustment
* PoseFlow: A Deep Motion Representation for Understanding Human Behaviors in Videos
* PoseTrack: A Benchmark for Human Pose Estimation and Tracking
* PoTion: Pose MoTion Representation for Action Recognition
* Power of Ensembles for Active Learning in Image Classification, The
* PPFNet: Global Context Aware Local Features for Robust 3D Point Matching
* Practical Block-Wise Neural Network Architecture Generation
* Preserving Semantic Relations for Zero-Shot Learning
* Prior-Less Method for Multi-face Tracking in Unconstrained Videos, A
* Probabilistic Joint Face-Skull Modelling for Facial Reconstruction
* Probabilistic Plant Modeling via Multi-view Image-to-Image Translation
* Progressive Attention Guided Recurrent Network for Salient Object Detection
* Progressively Complementarity-Aware Fusion Network for RGB-D Salient Object Detection
* Pseudo Mask Augmented Object Detection
* PU-Net: Point Cloud Upsampling Network
* Pulling Actions out of Context: Explicit Separation for Effective Combination
* PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
* Pyramid Stereo Matching Network
* Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
* Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation
* R-FCN-3000 at 30fps: Decoupling Detection and Classification
* Radially-Distorted Conjugate Translations
* RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials
* Re-weighted Adversarial Adaptation Network for Unsupervised Domain Adaptation
* Real-Time Monocular Depth Estimation Using Synthetic Data with Domain Adaptation via Image Style Transfer
* Real-Time Rotation-Invariant Face Detection with Progressive Calibration Networks
* Real-Time Seamless Single Shot 6D Object Pose Prediction
* Real-World Anomaly Detection in Surveillance Videos
* Real-World Repetition Estimation by Div, Grad and Curl
* Recognize Actions by Disentangling Components of Dynamics
* Recognizing Human Actions as the Evolution of Pose Estimation Maps
* Reconstructing Thin Structures of Manifold Surfaces by Integrating Spatial Curves
* Reconstruction Network for Video Captioning
* Recovering Realistic Texture in Image Super-Resolution by Deep Spatial Feature Transform
* Recurrent Pixel Embedding for Instance Grouping
* Recurrent Residual Module for Fast Inference in Videos
* Recurrent Saliency Transformation Network: Incorporating Multi-stage Visual Cues for Small Organ Segmentation
* Recurrent Scene Parsing with Perspective Understanding in the Loop
* Recurrent Slice Networks for 3D Segmentation of Point Clouds
* Referring Image Segmentation via Recurrent Refinement Networks
* Referring Relationships
* Reflection Removal for Large-Scale 3D Point Clouds
* Regularizing Deep Networks by Modeling and Predicting Label Structure
* Regularizing Deep Networks by Modeling and Predicting Label Structure
* Regularizing RNNs for Caption Generation by Reconstructing the Past with the Present
* Reinforcement Cutting-Agent Learning for Video Object Segmentation
* Relation Networks for Object Detection
* Representing and Learning High Dimensional Data with the Optimal Transport Map from a Probabilistic Viewpoint
* Repulsion Loss: Detecting Pedestrians in a Crowd
* Residual Dense Network for Image Super-Resolution
* Residual Parameter Transfer for Deep Domain Adaptation
* Resource Aware Person Re-identification Across Multiple Resolutions
* Rethinking Feature Distribution for Loss Functions in Image Classification
* Rethinking the Faster R-CNN Architecture for Temporal Action Localization
* Revised Underwater Image Formation Model, A
* Revisiting Deep Intrinsic Image Decompositions
* Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation
* Revisiting Knowledge Transfer for Training Object Class Detectors
* Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking
* Revisiting Salient Object Detection: Simultaneous Detection, Ranking, and Subitizing of Multiple Salient Objects
* Revisiting Video Saliency: A Large-Scale Benchmark and a New Model
* Reward Learning from Narrated Demonstrations
* Ring Loss: Convex Feature Normalization for Face Recognition
* ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes
* RoadTracer: Automatic Extraction of Road Networks from Aerial Images
* Robust Classification with Convolutional Prototype Learning
* Robust Depth Estimation from Auto Bracketed Images
* Robust Facial Landmark Detection via a Fully-Convolutional Local-Global Context Network
* Robust Hough Transform Based 3D Reconstruction from Circular Light Fields
* Robust Method for Strong Rolling Shutter Effects Correction Using Lines with Automatic Feature Selection, A
* Robust Physical-World Attacks on Deep Learning Visual Classification
* Robust Video Content Alignment and Compensation for Rain Removal in a CNN Framework
* Rolling Shutter and Radial Distortion are Features for High Frame Rate Multi-camera Tracking
* Rotation Averaging and Strong Duality
* Rotation-Sensitive Regression for Oriented Scene Text Detection
* RotationNet: Joint Object Categorization and Pose Estimation Using Multiviews from Unsupervised Viewpoints
* Salience Guided Depth Calibration for Perceptually Optimized Compressive Light Field 3D Display
* Salient Object Detection Driven by Fixation Prediction
* SBNet: Sparse Blocks Network for Fast Inference
* Scalable and Effective Deep CCA via Soft Decorrelation
* Scalable Dense Non-rigid Structure-from-Motion: A Grassmannian Perspective
* Scale-Recurrent Network for Deep Image Deblurring
* Scale-Transferrable Object Detection
* ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans
* SeedNet: Automatic Seed Generation with Deep Reinforcement Learning for Robust Interactive Segmentation
* Seeing Small Faces from Robust Anchor's Perspective
* Seeing Temporal Modulation of Lights from Standard Cameras
* Seeing Voices and Hearing Faces: Cross-Modal Biometric Matching
* SeGAN: Segmenting and Generating the Invisible
* Self-Calibrating Polarising Radiometric Calibration
* Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval
* Self-Supervised Feature Learning by Learning to Spot Artifacts
* Self-Supervised Learning of Geometrically Stable Features Through Probabilistic Introspection
* Self-Supervised Multi-level Face Model Learning for Monocular Reconstruction at Over 250 Hz
* Semantic Video Segmentation by Gated Recurrent Flow Propagation
* Semantic Visual Localization
* Semi-Parametric Image Synthesis
* SemStyle: Learning to Generate Stylised Image Captions Using Unaligned Text
* Separating Self-Expression and Visual Content in Hashtag Supervision
* Separating Style and Content for Generalized Style Transfer
* SfSNet: Learning Shape, Reflectance and Illuminance of Faces 'in the Wild'
* SGAN: An Alternative Training of Generative Adversarial Networks
* SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation
* Shape from Shading Through Shape Evolution
* Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions
* Show Me a Story: Towards Coherent Neural Story Illustration
* ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
* Sim2Real Viewpoint Invariant Visual Servoing by Recurrent Control
* Single Image Dehazing via Conditional Generative Adversarial Network
* Single Image Reflection Separation with Perceptual Losses
* Single View Stereo Matching
* Single-Image Depth Estimation Based on Fourier Domain Analysis
* Single-Shot Object Detection with Enriched Semantics
* Single-Shot Refinement Neural Network for Object Detection
* SINT++: Robust Visual Tracking via Adversarial Positive Instance Generation
* Sketch-a-Classifier: Sketch-Based Photo Classifier Generation
* SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval
* SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis
* Sliced Wasserstein Distance for Learning Gaussian Mixture Models
* Smooth Neighbors on Teacher Graphs for Semi-Supervised Learning
* SO-Net: Self-Organizing Network for Point Cloud Analysis
* SobolevFusion: 3D Reconstruction of Scenes Undergoing Free Non-rigid Motion
* Soccer on Your Tabletop
* Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks
* Solving the Perspective-2-Point Problem for Flying-Camera Photo Composition
* SoS-RSC: A Sum-of-Squares Polynomial Approach to Robustifying Subspace Clustering Algorithms
* Sparse Photometric 3D Face Reconstruction Guided by Morphable Models
* Sparse, Smart Contours to Represent and Edit Images
* Spatially-Adaptive Filter Units for Deep Neural Networks
* SPLATNet: Sparse Lattice Networks for Point Cloud Processing
* Spline Error Weighting for Robust Visual-Inertial Fusion
* SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels
* Squeeze-and-Excitation Networks
* SSNet: Scale Selection Network for Online 3D Action Prediction
* ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing
* Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal
* Stacked Latent Attention for Multimodal Reasoning
* StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation
* Statistical Tomography of Microscopic Life
* Stereoscopic Neural Style Transfer
* Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
* Stochastic Variational Inference with Gradient Linearization
* Structure from Recurrent Motion: From Rigidity to Recurrency
* Structure Inference Net: Object Detection Using Scene-Level Context and Instance-Level Relationships
* Structure Preserving Video Prediction
* Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation
* Structured Set Matching Networks for One-Shot Part Labeling
* Structured Uncertainty Prediction Networks
* Style Aggregated Network for Facial Landmark Detection
* Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation
* Super-FAN: Integrated Facial Landmark Localization and Super-Resolution of Real-World Low Resolution Faces in Arbitrary Poses with GANs
* Super-Resolving Very Low-Resolution Face Images with Supplementary Attributes
* Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors
* Surface Networks
* SurfConv: Bridging 3D and 2D Convolution for RGBD Images
* Synthesizing Images of Humans in Unseen Poses
* SYQ: Learning Symmetric Quantization for Efficient Deep Neural Networks
* Tagging Like Humans: Diverse and Distinct Image Annotation
* Tags2Parts: Discovering Semantic Regions from Shape Tags
* Tangent Convolutions for Dense Prediction in 3D
* Taskonomy: Disentangling Task Transfer Learning
* Teaching Categories to Human Learners with Visual Explanations
* Tell Me Where to Look: Guided Attention Inference Network
* Temporal Deformable Residual Networks for Action Segmentation in Videos
* Temporal Hallucinating for Action Recognition with Few Still Images
* Tensorize, Factorize and Regularize: Robust Visual Relationship Learning
* Textbook Question Answering Under Instructor Guidance with Memory Networks
* Texture Mapping for 3D Reconstruction with RGB-D Sensor
* TextureGAN: Controlling Deep Image Synthesis with Texture Patches
* Thoracic Disease Identification and Localization with Limited Supervision
* Through-Wall Human Pose Estimation Using Radio Signals
* TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-Rays
* Time-Resolved Light Transport Decomposition for Thermal Photometric Stereo
* Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challenge
* TOM-Net: Learning Transparent Object Matting from a Single Image
* Total Capture: A 3D Deformation Model for Tracking Faces, Hands, and Bodies
* Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Causal Reasoning
* Towards a Mathematical Understanding of the Difficulty in Learning with Feedforward Neural Networks
* Towards Dense Object Tracking in a 2D Honeybee Hive
* Towards Effective Low-Bitwidth Convolutional Neural Networks
* Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization
* Towards High Performance Video Object Detection
* Towards Human-Machine Cooperation: Self-Supervised Sample Mining for Object Detection
* Towards Open-Set Identity Preserving Face Synthesis
* Towards Pose Invariant Face Recognition in the Wild
* Towards Universal Representation for Unseen Action Recognition
* Tracking Multiple Objects Outside the Line of Sight Using Speckle Imaging
* Transductive Unbiased Embedding for Zero-Shot Learning
* Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-identification
* Translating and Segmenting Multimodal Medical Volumes with Cycle- and Shape-Consistency Generative Adversarial Network
* Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning
* Trapping Light for Time of Flight
* Triplet-Center Loss for Multi-view 3D Object Retrieval
* Trust your Model: Light Field Depth Estimation with Inline Occlusion Handling
* Two Can Play This Game: Visual Dialog with Discriminative Question Generation and Answering
* Two-Step Disentanglement Method, A
* Two-Step Quantization for Low-bit Neural Networks
* Two-Stream Convolutional Networks for Dynamic Texture Synthesis
* Twofold Siamese Network for Real-Time Object Tracking, A
* Uncalibrated Photometric Stereo Under Natural Illumination
* Unifying Contrast Maximization Framework for Event Cameras, with Applications to Motion, Depth, and Optical Flow Estimation, A
* Unifying Identification and Context Learning for Person Recognition
* Universal Denoising Networks: A Novel CNN Architecture for Image Denoising
* Unreasonable Effectiveness of Deep Features as a Perceptual Metric, The
* Unsupervised Correlation Analysis
* Unsupervised Cross-Dataset Person Re-identification by Transfer Learning of Spatial-Temporal Patterns
* Unsupervised Deep Generative Adversarial Hashing Network
* Unsupervised Discovery of Object Landmarks as Structural Representations
* Unsupervised Domain Adaptation with Similarity Learning
* Unsupervised Feature Learning via Non-parametric Instance Discrimination
* Unsupervised Learning and Segmentation of Complex Activities from Video
* Unsupervised Learning Model for Deformable Medical Image Registration, An
* Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric Constraints
* Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction
* Unsupervised Person Image Synthesis in Arbitrary Poses
* Unsupervised Sparse Dirichlet-Net for Hyperspectral Image Super-Resolution
* Unsupervised Textual Grounding: Linking Words to Image Concepts
* Unsupervised Training for 3D Morphable Model Regression
* UV-GAN: Adversarial Facial UV Map Completion for Pose-Invariant Face Recognition
* V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map
* Variational Autoencoders for Deforming 3D Mesh Models
* Variational U-Net for Conditional Appearance and Shape Generation, A
* Very Large-Scale Global SfM by Distributed Motion Averaging
* Video Based Reconstruction of 3D People Models
* Video Captioning via Hierarchical Reinforcement Learning
* Video Person Re-identification with Competitive Snippet-Similarity Aggregation and Co-attentive Snippet Embedding
* Video Rain Streak Removal by Multiscale Convolutional Sparse Coding
* Video Representation Learning Using Discriminative Pooling
* View Extrapolation of Human Body from a Single Image
* Viewpoint-Aware Attentive Multi-view Inference for Vehicle Re-identification
* Viewpoint-Aware Video Summarization
* VirtualHome: Simulating Household Activities Via Programs
* Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments
* Visual Feature Attribution Using Wasserstein GANs
* Visual Grounding via Accumulated Attention
* Visual Question Answering with Memory-Augmented Networks
* Visual Question Generation as Dual Task of Visual Question Answering
* Visual Question Reasoning on General Dependency Tree
* Visual to Sound: Generating Natural Sound for Videos in the Wild
* VITAL: VIsual Tracking via Adversarial Learning
* VITON: An Image-Based Virtual Try-on Network
* VizWiz Grand Challenge: Answering Visual Questions from Blind People
* VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
* W2F: A Weakly-Supervised to Fully-Supervised Framework for Object Detection
* Wasserstein Introspective Neural Networks
* Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer
* Weakly Supervised Action Localization by Sparse Temporal Pooling Network
* Weakly Supervised Coupled Networks for Visual Sentiment Analysis
* Weakly Supervised Facial Action Unit Recognition Through Adversarial Training
* Weakly Supervised Instance Segmentation Using Class Peak Response
* Weakly Supervised Learning of Single-Cell Feature Embeddings
* Weakly Supervised Phrase Localization with Multi-scale Anchored Transformer Network
* Weakly-Supervised Action Segmentation with Iterative Soft Boundary Assignment
* Weakly-Supervised Deep Convolutional Neural Network Learning for Facial Action Unit Intensity Estimation
* Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features
* Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing
* Webly Supervised Learning Meets Zero-shot Learning: A Hybrid Approach for Fine-Grained Classification
* Weighted Sparse Sampling and Smoothing Frame Transition Approach for Semantic Fast-Forward First-Person Videos, A
* What do Deep Networks Like to See?
* What have We Learned from Deep Representations for Action Recognition?
* What Makes a Video a Video: Analyzing Temporal Information in Video Understanding Models and Datasets
* When will you do what? - Anticipating Temporal Occurrences of Activities
* Where and Why are They Looking? Jointly Inferring Human Attention and Intentions in Complex Tasks
* Who Let the Dogs Out? Modeling Dog Behavior from Visual Data
* Who's Better? Who's Best? Pairwise Deep Ranking for Skill Determination
* Wide Compression: Tensor Ring Nets
* WILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection
* Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks
* Wrapped Gaussian Process Regression on Riemannian Manifolds
* xUnit: Learning a Spatial Activation Function for Efficient Image Restoration
* Zero-Shot Kernel Learning
* Zero-Shot Recognition via Semantic Embeddings and Knowledge Graphs
* Zero-Shot Sketch-Image Hashing
* Zero-Shot Super-Resolution Using Deep Internal Learning
* Zero-Shot Visual Recognition Using Semantics-Preserving Adversarial Embedding Networks
* Zigzag Learning for Weakly Supervised Object Detection
* Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains
981 for CVPR18

CVPR4HB08 * *CVPR for Human Communicative Behavior Analysis
* American Sign Language Lexicon Video Dataset, The
* Associating audio-visual activity cues in a dominance estimation framework
* Automatic facial expression recognition for intelligent tutoring systems
* B-spline polynomial descriptors for human activity recognition
* Distributed segmentation and classification of human actions using a wearable motion sensor network
* HO2: A new feature for multi-agent event detection and recognition
* Multimodal real-time focus of attention estimation in SmartRooms
* Principal appearance and motion from boosted spatiotemporal descriptors
* Remote and head-motion-free gaze tracking for real environments with automated head-eye model calibrations
* Speaker detection using the timing structure of lip motion and sound
* Technique for automatic emotion recognition by body gesture analysis
* Towards fast, view-invariant human action recognition
13 for CVPR4HB08

CVPR4HB09 * *CVPR for Human Communicative Behavior Analysis
* Action recognition via local descriptors and holistic features
* alignment based similarity measure for hand detection in cluttered sign language video, An
* Audiovisual event detection towards scene understanding
* Auditory dialog analysis and understanding by generative modelling of interactional dynamics
* Automatic recognition of fingerspelled words in British Sign Language
* Automatically detecting action units from faces of pain: Comparing shape and appearance features
* Dominance detection in face-to-face conversations
* framework for automated measurement of the intensity of non-posed Facial Action Units, A
* Fusion by optimal dynamic mixtures of proposal distributions
* Head pose estimation using Spectral Regression Discriminant Analysis
* implicit spatiotemporal shape model for human activity localization and recognition, An
* Modeling and exploiting the spatio-temporal facial action dependencies for robust spontaneous facial expression recognition
* Multi-modal laughter recognition in video conversations
* Physiological modelling for improved reliability in silhouette-driven gradient-based hand tracking
* Robust facial action recognition from real-time 3D streams
* Social Signal Processing: Understanding social interactions through nonverbal behavior analysis
* Use of Active Appearance Models for analysis and synthesis of naturally occurring behavior
18 for CVPR4HB09

CVPR4HB10 * Action recognition based on a bag of 3D points
* Annotation and taxonomy of gestures in lecture videos
* Attention estimation by simultaneous observation of viewer and view
* Automatic segmentation of video to aid the study of faucet usability for older adults
* Capturing appearance variation in active appearance models
* Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression, The
* Facial action unit detection: 3D versus 2D modality
* Facial Expression Invariant Head Pose Normalization Using Gaussian Process Regression
* Facial expression recognition using Gabor motion energy filters
* Facial expressions as feedback cue in human-robot interaction: A comparison between human and automatic recognition performances
* Hierarchical preference learning for light control from user feedback
* Human activity recognition in video using a hierarchical probabilistic latent model
* Learning spatial weighting via quadratic programming for facial expression analysis
* novel approach to American Sign Language (ASL) phrase verification using reversed signing, A
14 for CVPR4HB10

CVPR4HB11 * *CVPR for Human Communicative Behavior Analysis
* Automatic visual mimicry expression analysis in interpersonal interaction
* common framework for real-time emotion recognition and facial action unit detection, A
* Facial behaviometrics: The case of facial deformation in spontaneous smile/laughter
* Learning human behaviour patterns in work environments
* Localizing actions through sequential 2D video projections
* Recognizing expressions from face and body gesture by temporal normalized motion and appearance features
* Sparse representations of image gradient orientations for visual recognition and tracking
* Towards an Optimal Affect-Sensitive Instructional System of cognitive skills
9 for CVPR4HB11

CVPR83 * *CVPR
* Absorption Edge Detector, An
* Automatic 3D Reconstruction from 2D Geometric Part Descriptions
* Automatic 3D Reconstruction from 2D geometric Part Descriptions
* Classification of Boundaries on the Plane Using Stochastic Models
* Corner Detection Using the Facet Model
* Determination of Rotational and Translational Components of a Flow Field using a Content Addressable Parallel Processor
* Determining 3-D Motion and Structure of a Rigid Body Over 3 Frames Using Straight Line Correspondence
* Distortion Invariant Recognition Using a Moment Feature Space
* Edge Detection by Estimation of Multiple-Order Derivatives
* Effects of Distortions on the Recognition Rate of a Structural OCR System
* Estimating 3-D Motion Parameters and Object Surface Structures from the Image Motion of Curved Edges
* Extraction Elliptical Figures for an Edge Vector Field
* Fractal-Based Description of Natural Scenes
* Gaussian Blur And The Heat Equation: Forward And Inverse Solutions
* Handprinted Kanji Recogniton by Feature Matching Methods and Its Application to Personal OCR
* Image Motion Analysis Using the Concept of Weak Solutions to Distributed Parameter Systems
* Image Restoration by Transformation of Signal-Dependent Noise to Signal-Independent Noise
* Image Segmentation and Nucleus Classification for Automated Tissue Section Analysis
* Inferring Motion of Cylindrical Object from Shading
* Intensity Guided Range Sensing Recognition of Three-Dimensional Objects
* Linear Delineation
* Matching Regions in Aerial Images
* Measures of Homogeneity in Texture
* Measuring the Shape of 3-D Objects
* Method to Restore Multichannel Imagery, A
* Minimal Error Region Merging Technique for Segmentation, A
* Model Based Vision System to Identify and Locate Partially Visible Industrial Parts, A
* Moment Based Two-Dimensional Edge Operator, A
* Moment Techniques in Picture Analysis
* Multi-Resolution Flow - Through Motion Analysis
* Multi-Resolution Representation for Shape, A
* New Product Graph Based Algorithm for Subgraph Isomorphism, A
* Nonparametric Edge Detection With an Assumption on Minimum Edge Height
* Normalized Quadtree Representation, A
* Obtaining 3-D from Shadows in Aerial Images
* Octree Representations of Moving Objects
* Optimal Color Quantization for Color Display
* Optimal Perceptual Inference
* Perceptual Organization and Curve Partitioning
* Perceptual Segmentation of Nonhomogeneous Dot Patterns
* Quaternions in Computer Vision and Robotics
* Recovering Motion Parameters in Scenes Containing Multiple Moving Objects
* Rectangular Coding for Binary Images
* Relationship between Image Irradiance and Surface Orientation, The
* Representation and Segmentation of Document Images
* Representation of Images Using Voronoi Tessellation
* Representation of Regions of Map Data for Efficient Comparison and Retrieval
* Rotation Invariant Texture Classification Using Circular Random Field Models
* Scene Matching by Hierarchical Correlation
* Segmentation of Images Using a Relaxation Technique
* Segmentation of Range Data into Planar and Quadratic Patches
* Semi-Consistency: A Solution to the No-Label Problem
* Shape Analysis of Three Dimensional Objects Using the Method of Moments
* Solving Three-Dimensional Small-Rotation Motion Equations
* Step-Wise Optimization for Hierarchical Picture Segmentation
* Three-Dimensional Feature Extraction
* Using Quadtrees to Represent Polygonal Maps
* Using Symbolic Differences to Organize Relational Models
* Virtual Quadtrees
* Visual Inspection Using Linear Features
61 for CVPR83

CVPR85 * *CVPR
* 2-D Object Recognition Using Hierarchical Boundary Segments
* 3-D Model Building using CAGD Techniques
* 3-D Surface Discrimination from Local Curvature Measures
* 3D-Profile Method for Object Recognition, The
* Acquisition of Randomly Oriented Workpieces Through Structure Mating
* Alignment and Connection of Fragmented Linear Features in Aerial Imagery
* Analysis and Performance of Two Middle-Level Vision Tasks on a Fine-Grained SIMD Tree Machine, The
* Analyzing Orthographic Projection of Multiple 3-D Velocity Vector Fields in Optical Flow
* Approach to Smart Document Reader System
* Architecture for Automatic Lipreading to Enhance Speech Recognition, An
* Automatic Comparison of 2-D Electrophoretic Gels
* Boundary Detection by Minimizing Functionals
* Capturing the Local Structure of Image Discontinuities in Two Dimensions
* Centroid Tracking Scheme in a Weighted Coordinate System, A
* Comparison of Several Estimators of Edge Point in Noisy Digital Data Across a Step Edge, A
* Computational Approach to Remote Sensing, A
* Computational Theory of Stereo Vision, A
* Computer Vision System That Analyses CT-Scans of Sawlogs, A
* Computing Geometrical Features of Digital Objects in General Purpose Image Processing Pipeline Architectures
* Construction of Surface Representation from 3-D Volumetric Scene Description
* CONTAM: An Edge-Based Approach to Segmenting Images with Irregular Objects
* Cross-Angle Transform for Viewer-Independent Recognition of 3-D Objects
* CSG-EESI Scheme for Representing Solids and a Conversion Expert System, The
* Depth from Stereo
* Design of an Expert System for Object Classification Through an Application to the Classification of Galaxies
* Displacement Vector Field Computation by Temporal Covariance Model
* Edge Detection from Local Negative Maximum of Second Derivative
* Edge Detection with Subpixel Precision
* Empirical Results with a Model of Color Vision
* Enhanced Mesh Connected VLSI Architecture for Parallel Image Processing, An
* Equivalent Descriptions of Generalized Cylinders
* Estimating and Recognizing Parameterized 3-D Objects Using a Moving Camera
* Estimation of Object Motion Parameters from Noisy Images
* Estimation of Position and Displacement in Space from Two Images
* Experiments in Estimation of 3-D Motion Parameters from a Sequence of Image Frames
* Extraction of the Fair Document from Mixed Mode Manuscript
* Fast Stereo Matching of Edges Segments Using Prediction and Verification of Hypotheses
* Filtering Closed Curves
* Finding Range From Stereo Images
* Gaussian Blur And The Heat Equation: Forward And Inverse Solutions
* Hey Robot... Looking for Cones?
* Histogram Analysis Using A Scale Space Approach
* Iconic and Symbolic Processing Using a Content Addressable Array Parallel Processor
* Image Flow: Fundamentals and Future Research
* Improved Fast Parallel Thinning Algorithm for Digital Patterns, An
* Incrementally Constructing a Spatial Representation Using a Moving Camera
* Inherent Ambiguities in Recovering 3-D Motion and Structure from a Noisy Flow Field
* Intrinsic and Extrinsic Surface Characteristics
* Investigation of Adaptable Vision System for Factory Automation, An
* Learning Structural Descriptions of Shape
* Machine Perception of Partially Obscured Planar Shapes
* Machine Vision Techniques for Finding Sugarcane Seedeyes
* Matching Three-Dimensional Symbolic Descriptions Obtained from Multiple Views of a Scene
* Method for Calculating Velocity in Time Dependent Images Based on the Continuity Equation, A
* Model for Describing Surface Shape, A
* Model-based Shape from Contour and Point Patterns
* Modified Hough Transform for Lines, A
* Motion Problem: A Decomposition-Based Solution, The
* Multi-channel Filtering Methods for Segmentation of Color Images
* New Approach to the Continuous Labeling Problem, A
* New Precise Recognition Method for Handprinted Kanji, A
* New Vision System and the Fourier Descriptor Method by Group Representation Theory, A
* Octree Representation of Objects in Arbitrary Motion: Representation and Efficiency
* On the Use of Computer Vision Techniques for Automatic Speech Recognition
* Parallel and Hierarchical Algorithm for Region Growing, A
* Parallel Image Thinning and Vectorization on PASM
* Parallel Polyhedral Shape Recognition
* Parallel Processing of Iconic to Symbolic Transformation of Images
* Piecing Together the 3D Shape of Moving Objects: An Overview
* Pipelined Processor for Low-Level Vision, A
* Practical Basis Set for Chinese Character Recognition, A
* Range Image Understanding
* Recognition and Knowledge Synthesis of 3-D Object Image Based on Attributed Hypergraph
* Recognition of Conics in Contours Using Their Geometrical Properties
* Relaxation for Point-Pattern Matching: What it really Computes
* Robust Algorithms for Motion Estimation Based on Two Sequential Stereo Image Pairs
* Second Directional Derivative Zero Crossing Detector Using the Cubic Facet Model
* Segment Quadtree: A Linear Quadtree-Based Representation for Linear Features, The
* Segmentation of Images Based on Intensity Gradient Information
* Sequential Edge Detection in Correlated Random Fields
* Shape Analysis of Three Dimensional Objects Using Range Information
* Shape From Rotation
* Solving Random-Dot Stereograms Using the Heat Equation
* Stereo Reconstruction of Scene Depth
* Structure from Motion: An Alternative Approach
* Surface Reconstruction from Planar Cross Sections
* Systolic Convolver for Parallel, Multiresolution Edge Detection, A
* Two View Motion Analysis
* Two-Dimensional Object Recognition Using Multiresolution Models
* Use of Compound Predicates in Split-and-Merge Segmentation
* Use of the Delaunay Triangulation for the Identification and the Localization of Objects
92 for CVPR85

CVPR86 * *CVPR
* 3-D Model Construction from Multiple Views Using Range and Intensity Data
* 3-D Objects Recognition by State Space Search: Optimal Geometric Matching
* 3D Model Building using a Fast Range Finder
* Algorithm for the Segmentation of Bilevel Images, An
* Automatic Detection of Address Blocks on Irregular Mail Pieces
* Automatic Road Network Detection on Aerial Photographs
* Calculating Object Size from Stereoscopic Motion
* Calibration Problem for Stereo, The
* Camera Rotation Invariance of Image Characteristics
* Characterization of Some Drilled Pit Images from Contour and Ridge Points Detection
* Classification of Partial 2-D Shapes Using Fourier Descriptors
* Coarse-to-Fine Control Strategy for Stereo and Motion on a Mesh-connected Computer, A
* Computation of Volume/Surface Octrees from Contours and Silhouettes of Multiple Views
* Computational Approach to Visual Word Recognition: Hypothesis Generation and Testing, A
* Depth from Three Camera Stereo
* Description of Surfaces from Range Data using Curvature Properties
* Detecting Half-Edges and Vertices in Images
* Edge Detection Using the Directional Derivatives of a Space Varying Correlated Random Field Model
* Efficient and Accurate Camera Calibration Technique for 3-D Machine Vision, An
* Efficient Octree Generation from Silhouettes
* Egomotion Using Active Vision
* Fast Polygonal Approximation Method for Real-Time Shape Recognition, A
* Feature Identification for Hybrid Structural/Statistical Pattern Classification
* Generalized Cone Descriptions from Sparse 3-D Data
* Geometric Grouping Applied to Straight Lines
* Grayscale Morphology
* Implementation of Conditional Processing and Pyramids with a General Purpose Pipelined Pixel Processor
* Improved Approach to Connected Component Labeling of Images, An
* Information Fusion Problem and Rule Based Hypothesis Applied to Complex Aggregations of Image Events, The
* Invariant Surface Reconstruction Using Weak Continuity Constraints
* Kinematics of a Rigid Object from a Sequence of Noisy Images: A Batch Approach
* Labeling Connected Components on a Massively Parallel Tree Machine
* Local Rotational Symmetries
* Machine Printed Chinese and Japanese Character Recognition Method and Experiments for Reading Japanese Pocket Books
* Method of Image Guided Vehicle Using White Line Recognition, A
* Midline Model Based Segmentation
* Model Based Analysis of Industrial Scenes
* Motion Estimation from 3-D Point Sets with and without Correspondences
* Motion Estimation: The Proper Formulation for when 3 or 4 Frames Are Available
* Motion Stereo Using Ego-Motion Complex Logarithmic Mapping
* Multiple-Scale Segmentation and Representation of Solid Plane Shapes
* Note on Two-Dimensional Landmark-Based Object Recognition, A
* Object Recognition Using the Connection Machine's Router
* On Optimum Edge Recognition Using Matched Filters
* Optimal Cell Size for Efficient Retrieval of Sparse Data by Approximate 2D Position Using a Coarse Spatial Array
* Optimal Likelihood Generators for Edge Detection under Gaussian Additive Noise
* Optimal Linear Operator for Edge Detection, An
* Parallel Algorithms for Low level Vision on the Homogeneous Multiprocessor
* Perception of Structure from Motion: I: Optic Flow vs. Discrete Displacements; II: Lower Bound Results
* Perspective Angle Transform and Its Application to 3-D Configuration Recovery
* Pyramid Machine Simulator for the Symbolics 3600, A
* Range and Shape Measurement Using Three-View Stereo Analysis
* Recognizing Shapes via Random Chord Samplings
* Representations Based on Zero-Crossings in Scale-Space
* Road Following Using Vanishing Points
* Rule Based System for Pattern Recognition that Exploits Topological Constraints, A
* Segmentation and Classification of Range Images
* Segmentation of Range Images into Planar Surfaces by Split and Merge
* Segmentation Through Symbolic Surface Descriptions
* Selection and Use of Image Features for Segmentation of Boundary Images
* Sensing 3-D Surface patches Using a Projected Grid
* Shape and 3-D Motion from Contour without Point to Point Correspondences: General Principles
* Shape from Light Stripe Texture
* Smoothing the Optic Flow Field Under Perspective Projection
* Spherical Dual Images: A 3D Representation Method for Solid Objects that Combines Dual Space and Gaussian Spheres
* Split-Merge-merge: An Enhanced Segmentation Capability
* Structure from Motion, Acceleration and Taylor Series
* Syntactic Omni-Font Character Recognition System, A
* Three-Dimensional Vision System for Bin-Picking, A
* Tracing Neurons Through Serial Sections: Using Knowledge of Shape to Improve Performance
* Very Fast Convolution with Laplacian-of-Gaussian Masks
* Visual Surface Reconstruction Using Sparse Depth Data
73 for CVPR86

CVPR88 * *CVPR
* 3-D Motion Estimation Using a Sequence of Noisy Stereo Images: Models, Estimation, and Uniqueness Results
* Acceleration-Based Structure-from-Motion
* Accessibility: A New Approach to Path Planning Among Moving Obstacles
* Acquiring Simple Patterns for Surface Inspection
* Algorithms for Shape from Shading and Occluding Boundaries
* Analysis of Feature Detectability from Curvature Estimation, An
* Analysis of Two New Stereo Algorithms
* Automated Fast Recognition and Location of Arbitrarily Shaped Objects by Image Morphology
* Automatic Generation of Simple Morphological Algorithms
* binary consistency checking scheme and its applications to seismic Horizon Detection, The
* Binary Morphology: Working in the Sampled Domain
* Bit Level Concurrency in Real-Time Geometric Feature Extractions
* Building an Accurate Range Finder with off the Shelf Components
* CAD Based Planning and Execution of Inspection
* Calculating Geometric Properties of Objects Represented by Fourier Coefficients
* Calculation of Surface Position and Orientation Using the Photometric Stereo Method
* Calibrating a Cartesian Robot with Eye-Hand Configuration Independent of Eye-to-Hand Relationship
* Calibration of a Stereo System with Small Relative Angles
* Character Recognition Using Attributed Grammar
* Closed-Form Representation of Convolution, Dilation, and Erosion in the Context of Image Algebra
* Closed-Form Solution + Maximum Likelihood: A Robust Approach to Motion and Structure Estimation
* Collision-Free Navigation Scheme in the Presence of Moving Obstacles, A
* Color Constancy Computation in Near-Mondrian Scenes Using a Finite Dimensional Linear Model
* Color Metric for Computer Vision, A
* Comparative Study of Two Useful Discrete-Valued Random Fields for the Statistical Modeling of Images, A
* Complex Shadow-Boundary Segmentation Using the Entry-Exit Method
* Computationally Efficient Algorithm for Shape Decomposition, A
* Computing Quadtree Medial Axis Transform by a Multi-Layered Pyramid of Lisp-Processor Arrays
* Computing the Aspect Graph for Line Drawings of Polyhedral Objects
* Connected Component Labeling on Polymorphic Torus Architecture
* Context Dependent Edge Detection
* Convected Activation Profiles and the Measurement of Visual Motion
* Convexity Algorithms for Parallel Machines
* Cooperative Methods for Road Tracking in Aerial Imagery
* Curvature-Based Approach to Terrain Recognition, A
* Decision Theoretic Approach for 3-D Vision, A
* Depth Recovery from Blurred Edges
* Deriving Coarse 3-D Models of Objects
* Descriptive Pattern Recognition System Applied to Pictorial Patterns Where the Discriminating Information Is Carried in the Object Shape, A
* Design of Fast Connected Components Hardware
* Detecting Motion in Out-of-Register Pictures
* Determination of Camera Location from 2-D to 3-D Line and Point Correspondences
* Dynamic Scene Understanding for Autonomous Mobile Robotics
* Edge Detection Through Residual Analysis
* Effective Method for Determining the Robot Position, An
* Estimating Motion/Structure from Line Correspondences: A Robust Linear Algorithm and Uniqueness Theorems
* Evaluation of Quantization Error in Computer Vision
* Experiments and Evaluations of Rule Based Methods in Image Analysis
* Expert Vision System for Autonomous Land Vehicle Road Following, An
* Finding Objects in Aerial Photographs: A Rule-Based Low Level System
* Finding Point Correspondences and Determining Motion of a Rigid Object from Two Weak Perspective Views
* From Depth and Optical Flow to Rigid Body Motion
* Generalizing Epipolar-Plane Image Analysis on the Spatiotemporal Surface
* Generation of Volume/Surface Octree from Range Data
* Graph-Based Vectorization Method for Line Patterns
* Gray-Levels Can Improve the Performance of Binary Image Digitizers
* How To Tell Right From Left
* Image Computations on Reconfigurable VLSI Arrays
* Image Interpretation by Distributed Cooperative Processes
* Image Representation Using Voronoi Tessellation: Adaptive and Secure
* Image Sequence Enhancement Using Sub-Pixel Displacements
* Improving Visible-Surface Reconstruction
* Incremental Estimation of Dense Depth Maps from Image Sequences
* Integrated Approach to Feature Based Dynamic Vision, An
* Integrating Moving Edge Information along a 2-D Trajectory in Densely Sampled Imagery
* Integrating Region Growing and Edge Detection
* Integration of Information for Stereo and Multiple Shape-from-Texture Cues, The
* Interactive Complexity Control and High-Speed Stereo Matching
* Invariants of Three-Dimensional Contours
* Inverse Perspective Problem from a Single View for Polyhedra Location, The
* IU Parallel Processing Benchmark
* Karhunen-Loeve Analysis of Dynamic Sequences of Thermographic Images for Early Breast Cancer Detection
* Knowledge-Based System for Recognizing Man-Made Objects in Aerial Images, A
* Large Hierarchical Object Recognition Using Libraries of Parameterized Model Sub-Parts
* Learning Rules for 3-D Object Recognition
* Line-Drawing Interpretation: A Mathematical Framework
* Local Constraint Integration in a Connectionist Model of Stereo Vision
* Localization of Objects from Range Data
* Moment Images, Polynomial Fit Filters, and the Problem of Surface Interpolation
* Morphology-Based Symbolic Image Modeling, Multi-Scale Nonlinear Smoothing, and Pattern Spectrum
* Motion Analysis of Nonridgid Surfaces
* Motion-vision architectures
* Multi-Resolution Feature Reduction Technique for Image Segmentation with Multiple Components, A
* Multi-Scale Description of Space Curves and Three-Dimensional Objects
* New Algorithms for Reconstruction of a 3-D Depth Map from One or More Images
* new approach to machine-based perception of monocular images, A
* New Approach to Robot Orientation by Orthogonal Lines, A
* new representation for a line, A
* New Strategy for Octree Representation of Three-Dimensional Objects, A
* Novel Approach to Real-Time Motion Detection, A
* Object Recognition by Affine Invariant Matching
* Object Recognition Using the Connection Machine
* On Image Analysis by the Methods of Moments
* On Improving the Accuracy of The Hough Transform: Theory, Simulations, and Experiments
* On the Number of Digital Straight Lines on an NxN Grid
* On use of predictive probabilistic estimates for selecting best decision rules in the course of a search
* Operational Perception System for Cross-Country Navigation, An
* Optimal Algorithm for the Derivation of Shape from Shadows, An
* Optimal Geometric Algorithms on Fixed-Size Linear Arrays and Scan Line Arrays
* Parallel bit-level pipelined VLSI processing unit for the histogramming operation
* Pattern Classification Using Relative Constraints
* Pattern Recognition Algorithm Based on the Rapid Transform, A
* Point Symmetry of Convex Digital Regions
* Polynomial Shift-Invariant Operators for Texture Segmentation
* Projective Invariants of Shape
* Pyramid Based Depth from Focus
* Qualitative Depth from Vertical and Horizontal Binocular Disparities, in Agreement with Psychophysical Evidence
* Quantization Error in Stereo Imaging
* Range from translational motion blurring
* Rapid Search for Spherical Objects in Aerial Photographs
* Recognition of Handwritten Words: First and Second Order Hidden Markov Model Based Approach
* Recursive Clustering Technique for Color Picture Segmentation, A
* Refining Edges Detected by a LoG Operator
* Region Grouping from a Range Image
* Relaxational Extracting Method for Character Recognition in Scene Images, A
* Renormalized Curvature Scale Space and the Evolution Properties of Planar Curves, The
* Road Finding for Road-Network Extraction
* Robust Image Processing Language in the Context of Image Algebra, A
* Robust Parallel Implementation of 2D Model-Based Recognition, A
* Robust Recovery of Motion: Effects of Surface Orientation and Field of View
* Rule-Based Inspection of Leadframes
* Scale-Independent Dominant Point Detection Algorithm, A
* Searching parameter spaces with noisy linear constraints
* Shape from Texture Using the Wigner Distribution
* Simulating Essential Pyramids
* Smooth Interpolation of Rotational Motions
* Soft-Linked Quadtree: A Cascaded Ring Structure Using Flexible Linkage Concept
* Solving the Depth Interpolation Problem on a Parallel Architecture with a Multigrid Approach
* Spline-Based Surface Fitting on Range Images for CAD Applications
* Straight Homogeneous Generalized Cylinders: Differential Geometry and Uniqueness Results
* Straight Line Fitting in a Noisy Image
* Structural Pyramids for Representing and Locating Moving Obstacles in Visual Guidance of Navigation
* Surface Classification: Hypothesis Testing and Parameter Estimation
* Surface Orientation from Projective Foreshortening of Isotropic Texture Autocorrelation
* Texture Segmentation Using Voronoi Polygons
* Tree Search Algorithm for Target Detection in Image Sequences, A
* Useful Geometric Properties of the Generalized Cone
* Using Perceptual Grouping to Recognize and Locate Partially Occluded Objects
* Vertex Space Analysis and Its Application to Model Based Object Recognition
* Weak Structural Texture Analysis Technique to Wave Heights for Ocean Waves Image, A
* Wide Base-Line Dynamic Stereo: Approximation and Refinement
142 for CVPR88

CVPR89 * *CVPR
* 1-Subcycle Parallel Thinning Algorithm for Producing Perfect 8-Curves and Obtaining Isotropic Skeleton of an L-Shape Pattern, A
* 3D Edge Detection Using Recursive Filtering: Application to Scanner Images
* 3D Object Recognition Via Simulated Particles Diffusion
* Accurate Measurement of Orientation from Stereo Using Line Correspondence
* Adaptive Smoothing: A General Tool for Early Vision
* Adding Scale to the Primal Sketch
* Analytic Solution for the Perspective 4-Point Problem, An
* Application of robust sequential edge detection and linking to boundaries of low contrast lesions in medical images
* Applying Uncertainty Reasoning to Model Based Object Recognition
* Automated Inspection of Solder Bumps Using Visual Signatures of Specular Image-Highlights
* Automatic Thresholding Algorithm Based on an Illumination-Independent Contrast Measure, An
* Camera Calibration Using Geometric Constraints
* Color Image Segmentation Using Markov Random Fields
* Computation of Normal Velocity from Local Phase Information
* Computational Model of Texture Segmentation, A
* Computing Oriented Texture Fields
* Contour-based Recovery of Image Flow: Iterative Method, A
* Cost Minimization Approach to Edge Detection Using Simulated Annealing, A
* Data Set for Quantitative Motion Analysis, A
* Depth from Dynamic Stereo Images
* Depth Recovery Algorithm Using Defocus Information, A
* Determining Linear Shape Change: Towards Automatic Generation of Object Recognition Programs
* Development of hand-eye system with 3-D vision and microgripper and its application to assembling flexible wires
* Discontinuity Preserving Surface Reconstruction
* Dual Representation of Gray-Scale Morphological Filters, The
* Edge Detection, Classification, and Measurement
* Edge Recognition in Dynamic Vision
* Edge Reinforcement Using Parameterized Relaxation Labeling
* Estimation of Motion Parameters for a Deformable Object from Range Data
* Experiments in Fitting Discrete Markov Random Fields to Textures
* Fast Computation of Disparity from Phase Differences, The
* Fast Surface Interpolation Using Hierarchical Basis Functions
* Feature Extraction from Faces Using Deformable Templates
* Feature selection with stochastic complexity
* Fine Grain Image Computations on Electro-Optical Arrays
* Fingerprint Theorems for Curvature and Torsion Zero-Crossings
* From 3D Line Segments to Objects and Spaces
* Generalized Neighborhoods: A New Approach to Complex Parameter Feature Extraction
* Generalized smoothing networks in early vision
* Hierarchical Approach to Line Extraction, A
* Hierarchical clustering on SIMD machines with alignment network
* Hierarchical Region Based Stereo Matching
* Image Coding via Morphological Transformations: A General Theory
* Integrated Modelling of Thermal and Visual Image Generation
* Inverse Perspective Transform from Zero-Curvature Curve Points Application to the Localization of Some Generalized Cylinders
* Knowledge-Based Approach to the Detection, Tracking and Classification of Target Formations in Infrared Image Sequences, A
* Knowledge-guided left ventricular boundary detection
* Likely local shape
* Locating Human Faces in Newspaper Photographs
* Marked Grid Labeling
* Markov Random Field Model-Based Approach to Image Interpretation, A
* Measurement in Three Dimensions by Motion Stereo and Spherical Mapping
* Method for Shape-from-Shading Using Multiple Images Acquired under Different Viewing and Lighting Conditions, A
* Methodology for Experimental Computer Vision
* Model Learning and Recognition of Nonrigid Objects
* Monocular Vision Using Inverse Perspective Projection Geometry: Analytic Relations
* Multiresolution Shape from Shading
* Mutual Illumination
* Need for Accuracy Verification of Machine Vision Algorithms and Systems, The
* New Method for Computing Intrinsic Surface Properties, A
* Non-Linear Optimization Algorithm for the Estimation of Structure and Motion Parameters, A
* Object Recognition Using a Neural Network and Invariant Zernike Features
* Object Wings: 2-1/2-D Primitives for 3-D Recognition
* On Computing a Fuzzy Focus of Expansion for Autonomous Navigation
* On Reliable Curvature Estimation
* Optimal Implementation of Morphological Operations on Neighborhood Connected Array Processors, The
* Optimal Motion and Structure Estimation
* Outdoor Vehicle Navigation Using Passive 3D Vision
* Parallel Memory Systems for Image Processing
* Parametrically Deformable Contour Models
* Path Planning Using a Potential Field Representation
* Polarization/Radiometric Based Material Classification
* Processing of Line Drawings in a Hierarchical Environment
* Quantization Error in Spatial Sampling: Comparison between Square and Hexagonal Pixels
* Real-Time Vergence Control for Binocular Robots
* Recognition of hand-lettered characters in the GTX 5000 drawing processor
* Recognition of the coronary blood vessels on angiograms using hierarchical model-based iconic search
* Region-Based Optical Flow Estimation
* Registration of Multiple Overlapping Range Images: Scenes without Distinctive Features
* Representation and Recognition of 3-D Curves
* Representation and Segmentation of a Cluttered Scene Using Fused Edge and Surface Data
* Representation and transformation of uncertainty in an evidence theory framework
* Representation Space: An Approach to the Integration of Visual Information
* Representing and Comparing Shapes Using Shape Polynomials
* Robust Edge Detection
* Scanning Electron Microscope-Based Stereo Analysis
* Segmentation and Description Based on Perceptual Organization
* Segmentation of Textured Images
* Shape Understanding from Lambertian Photometric Flow Fields
* Simple, Real-Time Range Camera, A
* Structured Edge Map of Curved Objects in a Range Image
* Techniques for Real-Time Generation of Range Images
* Theory of Photometric Stereo for a General Class of Reflectance Maps, A
* Trajectory Primal Sketch: A Multi-Scale Scheme for Representing Motion Characteristics, The
* Using Polarization to Separate Reflection Components
* Visual Recognition Using Concurrent and Layered Parameter Networks
* Visual Terrain Matching for a Mars Rover
98 for CVPR89

CVPR91 * *CVPR
* 3D from an Image Sequence: Occlusions and Perspective
* Active Camera Controlling for Manipulation
* Adaptive Estimation of Hysteresis Thresholds
* Algorithmic Characterization of Vehicle Trajectories from Image Sequences by Motion Verbs
* Analysis and Solutions of the Three Point Perspective Pose Estimation Problem
* Analysis of the Probability of Disparity Changes in Stereo Matching and a New Algorithm Based on the Analysis, An
* Application of a Hybrid Tracking Algorithm to Motion Analysis, The
* Articulated Object Recognition, or: How to Generalize the Generalized Hough Transform
* Boundary element methods for solving Poisson equations in computer vision problems
* Camera Models Determination Using Multiple Frames
* Camera Stability Problem and Dynamic Stereo Vision, The
* Classification of Facial Features for Recognition
* Closed-Form Solutions for Physically Based Shape Modeling and Recognition
* Closed-Loop Adaptive Image Segmentation
* Computational Approach to Boundary Detection, A
* computational framework and SIMD algorithms for low-level support of intermediate level vision processing, A
* Computer vision hardware using the Radon transform
* Computing a Stable, Connected Skeleton from Discrete Data
* Computing Viewpoints that Satisfy Optical Constraints
* consensus structure inference algorithm, A
* Constraining Deformable Superquadrics and Nonrigid Motion Tracking
* Curve-Based Stereo: Figural Continuity and Curvature
* Deformable Kernels for Early Vision
* Deformable Models: Canonical Parameters for Surface Representation and Multiple View Integration
* Determining 3-D Object Pose Using the Complex Extended Gaussian Image
* Determining a Maximum Value Yield of a Log Using an Optical Log Scanner
* Direct Computation of Height from Shading, The
* Discontinuity Detection and Thresholding: A Stocastic Approach
* discontinuity detector based on the pervasive noise in surface property data, A
* Dual networks and their pattern classification properties
* Dynamic Stereo in Visual Navigation
* Dynamic System for Object Description and Correspondence, A
* Early Jump-Out Corner Detectors
* Edge Detection Using Refined Regularization
* Efficiently Using Invariant Theory for Model-Based Matching
* Establishing Motion Correspondence
* Estimation of Discontinuous Displacement Vector Fields with the Minimum Description Length Criterion
* Estimation of Illuminant Direction, Albedo, and Shape from Shading
* Estimation of Motion and Structure of Planar Surfaces from a Sequence of Monocular Images
* Exact Euclidean Distance Function by Chain Propagation
* Extracting Surfaces of Revolution by Perceptual Grouping of Ellipses
* Face Recognition Using Eigenfaces
* Fast Affine Point Matching: An Output-Sensitive Method
* Fast Segmentation of Range Images into Planar Regions
* Feature Matching in 360^o Waveforms for Robot Navigation
* Finding Convex Edge Groupings in an Image
* Finding Junctions Using the Image Gradient
* Finding the aspect-ratio of an imaging system
* Fractal probability functions-an application to image analysis
* From Voxel to Curvature
* Fuzzy Algorithms to Find Linear and Planar Clusters and Their Application
* Generic Recognition Through Qualitative Reasoning about 3-D Shape and Object Function
* Gripping Information for a Robot from Silhouettes
* How Accurately Can Direct Motion Vision Determine Depth
* Human motion analysis based on a robot arm model
* Identification and 3D Description of Shallow Environmental Structure in a Sequence of Images
* Identification of Interreflection in Color Images Using a Physics-Based Reflection Model
* image pyramid with morphological operators, An
* Integration and Interpretation of Incomplete Stereo Scene Data
* Integration of Vision Modules: A Game-Theoretic Framework
* Introducing New Deformable Surfaces to Segment 3D Images
* Linear Algorithm for Computing the Phase Portraits of Oriented Textures, A
* linear generalized Hough transform and its parallel implementation, A
* Long-Range Spatiotemporal Motion Understanding Using Spatiotemporal Flow Curves
* MAP Model Matching
* MAP Representations and Coding-Based Priors for Segmentation
* Markov/Gibbs Texture Modeling: Aura Matrices and Temperature Effects
* MARVEL: A System That Recognizes World Locations with Stereo Vision
* Matrix Based Method for Determining Depth from Focus, A
* Measurement of Non-Rigid Motion Using Contour Shape Descriptors
* Model Based Recognition Using Pruned Correspondence Search
* Model-Group Indexing for Recognition
* Modeling Generic Polyhedral Objects with Constraints
* Modelling Solids of Revolution by Monocular Vision
* Motion Analysis and Epicardial Deformation Estimation from Angiography Data
* Multi-Channel Filtering Approach to Texture Segmentation, A
* Multi-Dimensional Robust Edge Detection
* Multidimensional Indexing for Recognizing Visual Shapes
* Multiframe-Based Identification of Mobile Components of a Scene with a Moving Camera
* Multiple-Baseline Stereo, A
* Multiscale Approach for Recognizing Complex Annotations in Engineering Documents, A
* Neural-Network Approach to CSG-Based 3-D Object Recognition, A
* New Shape Segmentation Approach for Active Vision Systems, A
* Object Detection Using Contrast Based Scale-Space
* Offline Tracing and Representation of Signatures
* On an Analysis of Static Occlusion in Stereo Vision
* On contour texture
* On Corner and Vertex Detection
* On the Error Analysis of Geometric Hashing
* On the representation of occluded shapes
* Optimal Contour Approximation by Deformable Piecewise Cubic Splines
* Optimal Matching of Planar Models in 3D Scenes
* P-Field: A Computational Model for Binocular Motion Processing, The
* Parallel algorithms and architectures for discrete relaxation technique
* Partial Implementation of the Fixation Method on Real Images: Direct Recovery of Motion and Shape in the General Case
* Pattern recognition with new class discovery
* Physically-based edge labeling
* Planar Shape Classification Using Hidden Markov Model
* Pose Clustering on Constraints for Object Recognition
* Pose Estimation of Jointed Structures
* Positional Estimation of a Mobile Robot Using Edge Visibility Regions
* Probability Distributions of Optical Flow
* Qualitative Detection of Motion by a Moving Observer
* Qualitative Motion Analysis Using a Spatio-Temporal Approach
* Quantitative Approach to Camera Fixation, A
* Rapid Euclidean Distance Transform Using Grayscale Morphology Decomposition
* Real-Time Generation of Environmental Map and Obstacle Avoidance Using Omnidirectional Image Sensor with Conic Mirror
* Recognition and Semi-Differential Invariants
* Recovering Shape from Contour for Constant Cross Section Generalized Cylinders
* Recovery of Nonridid Motion and Structure
* Region Based Stereo Matching Oriented Image Processing
* Relative Positioning from Geometric Invariants
* Remote-sensing issues for intelligent underwater systems
* Robust Dynamic Motion Estimation Over Time
* Robust vectorization using graph-based thinning and reliability-based line approximation
* Sampling and Reconstruction with Adaptive Meshes
* Screw Motion Approach to Uniqueness Analysis of Head-Eye Geometry, A
* Segmentation and Grouping of Object Boundaries Using Energy Minimization
* Segmentation by Nonlinear Diffusion
* Sequences, Structure, and Active Vision
* Shape Adaptation for Modelling of 3D Objects in Natural Scenes
* Shape From Rotation
* Shape from Shading as a Partially Well-Constructed Problem
* Shape Representation and Image Segmentation Using Deformable Surfaces
* Shape Representation and Recognition from Curvature
* Shared Memory Multiprocessor Implementation and Evaluation of Hough Transform Algorithm
* Small autonomous mobile robots: sensing and action
* Sources from Shading
* Stereopsis and Image Registration from Extended Edge Features in the Absence of Camera Pose Information
* stereoscopic camera employing a single main lens, A
* Structural Hashing: Efficient Three Dimensional Object Recognition
* Surface and Motion Estimation from Sparse Range Data
* Surface Approximation Using Weighted Splines
* SYMAN: A SYMmetry ANalyzer
* Syntactic pattern classification by branch and bound search
* Teleological computer graphics modeling
* Temporal Slice Analysis of Image Sequences
* Temporal Surface Reconstruction
* Topological Segmentation of Discrete Surfaces
* Trajectories and Events
* Two Plane Camera Calibration: A Unified Model
* Uncertainty Update and Dynamic Search Window for Model-Based Object Recognition
* Unified Computational Theory for Motion Transparency and Motion Boundaries Based on Eigenenergy Analysis, A
* Use of Monocular Groupings and Occlusion Analysis in a Hierarchical Stereo System
* Using Collinear Points to Compute Egomotion and Detect Nonrigidity
* Using Stereomotion to Track Binocular Targets
147 for CVPR91

CVPR92 * *CVPR
* 3-D Landmark Recognition from Range Images
* 3-D Recognition and Shape Estimation from Image Contours Using Invariant 3-D Object Curve Models
* 3D Model Acquisition from Monocular Image Sequences
* 3D Shape and Light Source Location from Depth and Reflectance
* Absolute Orientation from Uncertain Point Data: A Unified Approach
* Accuracy assessment on camera calibration method not considering lens distortion
* Accurate calibration of CCD-cameras
* Active Object Recognition
* Active Photometric Stereo
* Adaptive Meshes and Shells: Irregular Triangulation, Discontinuities, and Hierarchical Subdivisions
* Adaptive-Size Physically-Based Models for Nonrigid Motion Analysis
* Affine Trackability Aids Obstacle Detection
* Alignment of Objects with Smooth Surfaces: Error Analysis of the Curvature Method, The
* Analysis of the Least median of Squares Estimator for Computer Vision Applications
* Anatomy of a Color Histogram
* Autonomous Fixation
* Bayesian Treatment of the Stereo Correspondence Problem Using Half-Occluded Regions, A
* CCD camera calibration and noise estimation
* Classification trees with neural network feature extraction
* Comparing Images Using the Hausdorff Distance under Translation
* Computational ground and airborne localization over rough terrain
* Computing Curvilinear Structure by Token-Based Grouping
* Computing Occlusion-Free Viewpoints
* Computing stereo correspondences in the presence of narrow occluding objects
* Computing the View Orientations of Random Projections of Asymmetric Objects
* Constructing perceptual categories
* Contour Matching Using Local Affine Transformations
* Controlling Illumination color to Enhance Object Discriminability
* Correcting Chromatic Aberrations Using Image Warping
* Curved Contours and Surface Reconstruction
* Deformable Models for 3D Medical Images Using Finite Elements and Balloons
* Deformable Region Model Using Stochastic Processes Applied to Echocardiographic Images, A
* Depth from Defocus and Rapid Autofocusing: A Practical Approach
* Detecting parameterized curve segments using MDL and the Hough transform
* Determination of the Apparent Boundary of an Object
* Diffuse Reflection
* Direct Method for Reconstructing Shape from Shading
* Direct Motion Stereo for Passive Navigation
* Edge detection in range images through morphological residue analysis
* Efficient Model Library Access by Projectively Invariant Indexing Functions
* Exploratory Active Vision: Theory
* Extracting the Shape and Roughness of Specular Lobe Objects Using Four Light Photometric Stereo
* Face Recognition Based on Depth and Curvature Features
* Fast Linear Shape from Shading, A
* Fast Recognition Using Adaptive Subdivisions of Transformation Space
* Feature Based Approach to Face Recognition, A
* From Accurate Range Imaging Sensor Calibration to Accurate Model-Based 3-D Object Localization
* From Partial Derivatives of 3D Density Images to Ridge Lines
* Generating Connected Skeletons for Exact and Approximate Reconstruction
* geometric approach to machine-printed character recognition, A
* Geometric image primitives by complex moments in Gabor space and the application to texture segmentation
* Geometric Primitive Extraction Using A Genetic Algorithm
* geometry of visual interception, The
* Handprinted Digit Recognition Using Spatiotemporal Connectionist Models
* Handwritten Numeral Recognition Based on Hierarchically Self-Organizing Learning Networks with Spatio-Temporal Pattern Recognition
* heterogeneous M-SIMD architecture for Kalman filter controlled processing of image sequences, An
* Hierarchical Decomposition and Axial Representation of Shape
* Hierarchical Waveform Matching: A New Feature-Based Stereo Technique
* Hybrid Weak-Perspective and Full-Perspective Matching
* Image segmentation via edge contour finding: a graph theoretic approach
* Image Sequence Enhancement Using Multiple Motions Analysis
* Image Understanding Environments Program, The
* Indexing Function-Based Categories for Generic Recognition
* information theoretic robust sequential procedure for surface model order selection in noisy range data, An
* Iterative TIN Generation from Digital Elevation Models
* Kinematic calibration of an active camera system
* Labeling of Curvilinear Structure Across Scales by Token Grouping
* Local Reproducible Smoothing without Shrinkage
* Local Shape Approximation from Shading
* Low Resolution Cues for Guiding Saccadic Eye Movements
* Matching Complex Images to Multiple 3D Objects Using View Description Networks
* measure of symmetry based on shape similarity, A
* Model Based Region Segmentation Using Cooccurrence Matrices
* Model Indexing: The Graph-Hashing Approach
* Morphological Decomposition of Restricted Domains: A Vector Space Solution
* Morphological Grayscale Reconstruction: Definition, Efficient Algorithm and Applications in Image Analysis
* Morphological structuring function decomposition
* Motion Trajectories
* MRF Approach to Optical Flow Estimation, A
* Multi-Primitive Hierarchical (MPH) Stereo System
* Multi-Resolution Surface Modeling from Multiple Range Views
* Multifractals, texture, and image analysis
* Multiple Motions from Instantaneous Frequency
* Multiresolution Shape Description by Corners
* Neural network models for illusory contour perception
* New 3-D Surface Measurement System Using a Structured Light, A
* Noise Resistant Projective and Affine Invariants
* Non-Rigid Heart Wall Motion Using MR Tagging
* Nonlinear multiscale filtering using mathematical morphology
* Object segmentation and binding within a biologically-based neural network model of depth-from-occlusion
* Object-Oriented Approach to Template Guided Inspection, An
* Off-line handwritten word recognition (HWR) using a single contextual hidden Markov model
* On Finding the Ends of SHGCs in an Edge Image
* On Poisson Solvers and Semidirect Methods for Computing Area Based Optical-Flow
* On texture in document images
* On the Derivation of Geometric Constraints in Stereo
* Optimal nonlinear pattern restoration from noisy binary figures
* Parameter estimation in MRF line process models
* Parameterizing and Fitting Bounded Algebraic Curves and Surfaces
* Perceptual Organization Using Bayesian Networks
* Performance of Optical Flow Techniques
* Point Correspondence Recovery in Non-Rigid Motion
* Predicting expected gray level statistics of opened signals
* Properties of Energy Edge Detectors
* Qualitative shape from active shading
* Random perturbation models and performance characterization in computer vision
* Range image segmentation and fitting by residual consensus
* Real-Time Smooth Pursuit Tracking for a Moving Binocular Robot
* Recognition of Motion from Temporal Texture
* Recognizing 3D Objects from 2D Images: An Error Analysis
* Recognizing Assembly Tasks using Face-Contact Relations
* Recognizing human action in time-sequential images using hidden Markov model
* Recovering LSHGCs and SHGCs from Stereo
* Recovering Shape by Purposive Viewpoint Adjustment
* Recovering the Scaling Function of a SHGC from a Single Perspective View
* Recovery of 3-D Objects with Multiple Curved Surfaces from 2-D Contours
* Recovery of Hierarchical Part Structure of 3D Shape from Range Image
* Recovery of Temporal Information from Static Images of Handwriting
* Recursive opening transform
* Refinement of Disparity Estimates Through the Fusion of Monocular Image Segmentations
* Refinement of Noisy Correspondence Using Feedback from 3-D Motion
* Right Straight Homogeneous Generalized Cylinders with Symmetric Cross-Sections: Recovery of Pose and Shape from Image Contours
* Robust Consensus Based Edge-Detection
* Robust Focus Ranging
* Robust object recognition based on implicit algebraic curves and surfaces
* Robust statistics in shape fitting
* Saliencies and Symmetries: Toward 3D Object Recognition from Large Model Databases
* Scale Space Aspect Graph, The
* Segmentation by Nonlinear Diffusion, II
* Sequential Detection Framework for Feature Tracking within Computational Constraints, A
* Shadow Identification
* Shape from Focus System
* Shape from Periodic Texture Using the Spectrogram
* Shape from Texture Using Markov Random Field Models and Stereo-Windows
* Shape Reconstruction from Photometric Stereo
* Shape-from-Texture by Wavelet-Based Measurement of Local Spectral Moments
* Simple Algorithm for Shape for Shading, A
* Simple Direct Computation of the FOE with Confidence Measures
* Single Plane Model Extensions Using Projective Transformations
* Smoothed Local Generalized Cones: An Axial Representation of 3D Shapes
* Some Invariant Linear Methods in Photogrammetry and Model-Matching
* Space Efficient 3D Model Indexing
* Spatial reasoning based on multivariate belief functions
* Spatial-Quefrency Approach to Optical Echo Analysis
* Stereo from Uncalibrated Cameras
* Surface Reconstruction Using Neural Networks
* Surface segmentation from stereo
* Task-Specific Utility in a General Bayes net Vision System
* Toward Object-Based Heuristics
* Toward Stochastic Modeling of Obstacle Detectability in Passive Stereo Range Imagery
* Towards a General Framework for Feature Extraction
* Uncertain Views
* Vector Field Analysis For Oriented Patterns
* Verifying and Combining Different Visual Cues into a 3D Model
* Vision-Based Range Estimation Using Helicopter Flight Data
* Visual Inspection of Machined Parts
* Visual Motion Analysis under Interceptive Behavior
* Voronoi Skeletons: Theory and Applications
* Weak Lambertian Assumption for Determining Cylindrical Shape and Pose from Shading and Contour
160 for CVPR92

CVPR93 * *CVPR
* 2-D Images of 3-D Oriented Points
* 3-D Model-Data Correspondence and Nonrigid Deformation
* 3-D Motion Estimation and Object Tracking Using B-Spline Curve Modeling
* 3D Parts Decomposition from Sparse Range Data Information Criterion
* Accurate Stereo Correspondence Method for Textured Scenes Using Improved Power Cepstrum Techniques, An
* Active Binocular Stereo
* Active Calibration: Alternative Strategy and Analysis
* active-vision system for recognition of pre-marked objects in robotic assembly workcells, An
* Active/Dynamic Stereo: A General Framework
* Adaptive Active Contour Algorithms for Extracting and Mapping Thick Curves
* Adaptive Mesh Generation for Surface Reconstruction: Parallel Hierarchical Triangulation without Discontinuities
* Adaptive segmentation of images of objects with smooth surfaces
* Agglomerative Clustering on Range Data with a Unified Probabilistic Merging Function and Termination Criterion
* Automatic Finding of Main Roads in Aerial Images by Using Geometric-Stochastic Models and Estimation
* Automatic Tube Inspection System That Finds Cylinders in Range Data, An
* Axiomatization of shape analysis and application to texture hyperdiscrimination
* Bayesian Region Merging Probability for Parametric Image Models
* Bayesian View Class Determination
* Binocular Motion Stereo Using MAP Estimation
* Centering Behavior Using Peripheral Vision
* clustering filter for scale-space filtering and image restoration, A
* Color Recovery from Biased Illumination: Color Constancy
* Comparative Study of Stereo, Vergence, and Focus as Depth Cues for Active Vision, A
*