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 Nyström 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 (QDEGSAC)
* 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-cuboïd 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 Façade 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 (HARDI), A
* 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
* Schrödinger 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