* 3D Convolutional Neural Networks for Human Action Recognition
* 3D Face Discriminant Analysis Using Gauss-Markov Posterior Marginals
* 3D Face Recognition under Expressions, Occlusions, and Pose Variations
* 3D Stochastic Completion Fields for Mapping Connectivity in Diffusion MRI
* A Class of Random Fields on Complete Graphs with Tractable Partition Function
* A Convex Formulation for Learning a Shared Predictive Structure from Multiple Tasks
* A Dual Decomposition Approach to Feature Correspondence
* A Feature Selection Method for Multivariate Performance Measures
* A Framework for Binding and Retrieving Class-Specific Information to and from Image Patterns Using Correlation Filters
* A Framework for Mining Signatures from Event Sequences and Its Applications in Healthcare Data
* A Game-Theoretic Approach to Hypergraph Clustering
* A Globally-Variant Locally-Constant Model for Fusion of Labels from Multiple Diverse Experts without Using Reference Labels
* A Hybrid Multiview Stereo Algorithm for Modeling Urban Scenes
* A Novel Bayesian Framework for Discriminative Feature Extraction in Brain-Computer Interfaces
* A Novel Encoding Scheme for Effective Biometric Discretization: Linearly Separable Subcode
* A Probabilistic Approach to Spectral Graph Matching
* A Prototype Learning Framework Using EMD: Application to Complex Scenes Analysis
* A Sparse Structure Learning Algorithm for Gaussian Bayesian Network Identification from High-Dimensional Data
* A Visual-Attention Model Using Earth Mover's Distance-Based Saliency Measurement and Nonlinear Feature Combination
* Action Spotting and Recognition Based on a Spatiotemporal Orientation Analysis
* Affinity Learning with Diffusion on Tensor Product Graph
* Algorithms for 3D Shape Scanning with a Depth Camera
* An Automatic Iris Occlusion Estimation Method Based on High-Dimensional Density Estimation
* An Incremental DPMM-Based Method for Trajectory Clustering, Modeling, and Retrieval
* Appearance-Based Gaze Estimation Using Visual Saliency
* Automatic Caption Generation for News Images
* Bayesian Estimation of Turbulent Motion
* Biologically Inspired Object Tracking Using Center-Surround Saliency Mechanisms
* Calibration of Ultrawide Fisheye Lens Cameras by Eigenvalue Minimization
* Categorizing Dynamic Textures Using a Bag of Dynamical Systems
* Characterizing Humans on Riemannian Manifolds
* Comparative Analysis and Fusion of Spatiotemporal Information for Footstep Recognition
* Compressive Structured Light for Recovering Inhomogeneous Participating Media
* CoSLAM: Collaborative Visual SLAM in Dynamic Environments
* Coupled Gaussian processes for pose-invariant facial expression recognition
* Deep Hierarchies in the Primate Visual Cortex: What Can We Learn for Computer Vision?
* Deep Learning with Hierarchical Convolutional Factor Analysis
* Discovering Low-Rank Shared Concept Space for Adapting Text Mining Models
* Discrete Mereotopology for Spatial Reasoning in Automated Histological Image Analysis
* Discriminative Multimanifold Analysis for Face Recognition from a Single Training Sample per Person
* Dynamical Simulation Priors for Human Motion Tracking
* Efficient Classification for Additive Kernel SVMs
* Efficient Optimization of Performance Measures by Classifier Adaptation
* Estimating Information from Image Colors: An Application to Digital Cameras and Natural Scenes
* Explicit Modeling of Human-Object Interactions in Realistic Videos
* Fast and Accurate Matrix Completion via Truncated Nuclear Norm Regularization
* Fast Detection of Dense Subgraphs with Iterative Shrinking and Expansion
* FOCUSR: Feature Oriented Correspondence Using Spectral Regularization--A Method for Precise Surface Matching
* Fourier Lucas-Kanade Algorithm
* Graph Isomorphisms and Automorphisms via Spectral Signatures
* Guided Image Filtering
* Heterogeneous Face Recognition Using Kernel Prototype Similarities
* Hierarchical Aligned Cluster Analysis for Temporal Clustering of Human Motion
* Hough Forest Random Field for Object Recognition and Segmentation
* Image Denoising Using the Higher Order Singular Value Decomposition
* Image Transformation Based on Learning Dictionaries across Image Spaces
* Incremental Learning of 3D-DCT Compact Representations for Robust Visual Tracking
* Invariant Scattering Convolution Networks
* Inverse Rendering of Faces with a 3D Morphable Model
* Iterative Closest Normal Point for 3D Face Recognition
* Jensen-Bregman LogDet Divergence with Application to Efficient Similarity Search for Covariance Matrices
* Joint Depth Map and Color Consistency Estimation for Stereo Images with Different Illuminations and Cameras
* Keeping a Pan-Tilt-Zoom Camera Calibrated
* Laplacian Sparse Coding, Hypergraph Laplacian Sparse Coding, and Applications
* Learning a Confidence Measure for Optical Flow
* Learning AND-OR Templates for Object Recognition and Detection
* Learning Hierarchical Features for Scene Labeling
* Learning Multivariate Distributions by Competitive Assembly of Marginals
* Learning Topic Models by Belief Propagation
* Learning with Hierarchical-Deep Models
* Linear Dependency Modeling for Classifier Fusion and Feature Combination
* Local Evidence Aggregation for Regression-Based Facial Point Detection
* Local Transform Features and Hybridization for Accurate Face and Human Detection
* Monocular SLAM with Conditionally Independent Split Mapping
* Monocular Visual Scene Understanding: Understanding Multi-Object Traffic Scenes
* Moving Object Detection by Detecting Contiguous Outliers in the Low-Rank Representation
* Multi-Atlas Segmentation with Joint Label Fusion
* Multilayer Adaptive Linear Predictors for Real-Time Tracking
* Multiple Target Tracking by Learning-Based Hierarchical Association of Detection Responses
* Multiscale Local Phase Quantization for Robust Component-Based Face Recognition Using Kernel Fusion of Multiple Descriptors
* Numerical Conditioning Problems and Solutions for Nonparametric i.i.d. Statistical Active Contours
* Object Matching Using a Locally Affine Invariant and Linear Programming Techniques
* Online Feature Selection with Streaming Features
* Online Learning of Correspondences between Images
* Optimizing Nondecomposable Loss Functions in Structured Prediction
* Orientation Field Estimation for Latent Fingerprint Enhancement
* Partial Face Recognition: Alignment-Free Approach
* Pose and Expression Independent Facial Landmark Localization Using Dense-SURF and the Hausdorff Distance
* Probabilistic Tracking of Affine-Invariant Anisotropic Regions
* Projective Multiview Structure and Motion from Element-Wise Factorization
* Radiometric Calibration by Rank Minimization
* Range Image Registration Using a Photometric Metric under Unknown Lighting
* Recognition Using Specular Highlights
* Reidentification by Relative Distance Comparison
* Removing Atmospheric Turbulence via Space-Invariant Deconvolution
* Representation Learning: A Review and New Perspectives
* Robust Extrema Features for Time-Series Data Analysis
* Robust Recovery of Subspace Structures by Low-Rank Representation
* Robust Simultaneous Registration and Segmentation with Sparse Error Reconstruction
* Robust Visual Tracking Using an Adaptive Coupled-Layer Visual Model
* Scaling Up Spike-and-Slab Models for Unsupervised Feature Learning
* Segmentation, Inference and Classification of Partially Overlapping Nanoparticles
* Self-Calibration of Catadioptric Camera with Two Planar Mirrors from Silhouettes
* Simultaneous Cast Shadows, Illumination and Geometry Inference Using Hypergraphs
* Simultaneous Registration of Multiple Images: Similarity Metrics and Efficient Optimization
* Simultaneous Video Stabilization and Moving Object Detection in Turbulence
* Single-Image Vignetting Correction from Gradient Distribution Symmetries
* Spatial and Anatomical Regularization of SVM: A General Framework for Neuroimaging Data
* Spatially Varying Color Distributions for Interactive Multilabel Segmentation
* Spatiotemporal Alignment of Visual Signals on a Special Manifold
* Spectral 6DOF Registration of Noisy 3D Range Data with Partial Overlap
* Stacked Autoencoders for Unsupervised Feature Learning and Multiple Organ Detection in a Pilot Study Using 4D Patient Data
* State-of-the-Art in Visual Attention Modeling
* Stochastic Exploration of Ambiguities for Nonrigid Shape Recovery
* Support Vector Shape: A Classifier-Based Shape Representation
* Surface and Curve Skeletonization of Large 3D Models on the GPU
* Symmetric Fast Marching Schemes for Better Numerical Isotropy
* Tag Completion for Image Retrieval
* Tensor Completion for Estimating Missing Values in Visual Data
* The Impact of Cluster Representatives on the Convergence of the $(K)$-Modes Type Clustering
* The Infinite-Order Conditional Random Field Model for Sequential Data Modeling
* Time Series Analysis Using Geometric Template Matching
* Toward a Theory of Statistical Tree-Shape Analysis (HTML)
* Tracking People's Hands and Feet Using Mixed Network AND/OR Search
* Tree-Structured CRF Models for Interactive Image Labeling
* Unified Detection and Tracking of Instruments during Retinal Microsurgery
* USAC: A Universal Framework for Random Sample Consensus
* Visual Saliency Based on Scale-Space Analysis in the Frequency Domain
* Wang-Landau Monte Carlo-Based Tracking Methods for Abrupt Motions
* WESD--Weighted Spectral Distance for Measuring Shape Dissimilarity
* 3D Face Discriminant Analysis Using Gauss-Markov Posterior Marginals
* 3D Face Recognition under Expressions, Occlusions, and Pose Variations
* 3D Stochastic Completion Fields for Mapping Connectivity in Diffusion MRI
* A Class of Random Fields on Complete Graphs with Tractable Partition Function
* A Convex Formulation for Learning a Shared Predictive Structure from Multiple Tasks
* A Dual Decomposition Approach to Feature Correspondence
* A Feature Selection Method for Multivariate Performance Measures
* A Framework for Binding and Retrieving Class-Specific Information to and from Image Patterns Using Correlation Filters
* A Framework for Mining Signatures from Event Sequences and Its Applications in Healthcare Data
* A Game-Theoretic Approach to Hypergraph Clustering
* A Globally-Variant Locally-Constant Model for Fusion of Labels from Multiple Diverse Experts without Using Reference Labels
* A Hybrid Multiview Stereo Algorithm for Modeling Urban Scenes
* A Novel Bayesian Framework for Discriminative Feature Extraction in Brain-Computer Interfaces
* A Novel Encoding Scheme for Effective Biometric Discretization: Linearly Separable Subcode
* A Probabilistic Approach to Spectral Graph Matching
* A Prototype Learning Framework Using EMD: Application to Complex Scenes Analysis
* A Sparse Structure Learning Algorithm for Gaussian Bayesian Network Identification from High-Dimensional Data
* A Visual-Attention Model Using Earth Mover's Distance-Based Saliency Measurement and Nonlinear Feature Combination
* Action Spotting and Recognition Based on a Spatiotemporal Orientation Analysis
* Affinity Learning with Diffusion on Tensor Product Graph
* Algorithms for 3D Shape Scanning with a Depth Camera
* An Automatic Iris Occlusion Estimation Method Based on High-Dimensional Density Estimation
* An Incremental DPMM-Based Method for Trajectory Clustering, Modeling, and Retrieval
* Appearance-Based Gaze Estimation Using Visual Saliency
* Automatic Caption Generation for News Images
* Bayesian Estimation of Turbulent Motion
* Biologically Inspired Object Tracking Using Center-Surround Saliency Mechanisms
* Calibration of Ultrawide Fisheye Lens Cameras by Eigenvalue Minimization
* Categorizing Dynamic Textures Using a Bag of Dynamical Systems
* Characterizing Humans on Riemannian Manifolds
* Comparative Analysis and Fusion of Spatiotemporal Information for Footstep Recognition
* Compressive Structured Light for Recovering Inhomogeneous Participating Media
* CoSLAM: Collaborative Visual SLAM in Dynamic Environments
* Coupled Gaussian processes for pose-invariant facial expression recognition
* Deep Hierarchies in the Primate Visual Cortex: What Can We Learn for Computer Vision?
* Deep Learning with Hierarchical Convolutional Factor Analysis
* Discovering Low-Rank Shared Concept Space for Adapting Text Mining Models
* Discrete Mereotopology for Spatial Reasoning in Automated Histological Image Analysis
* Discriminative Multimanifold Analysis for Face Recognition from a Single Training Sample per Person
* Dynamical Simulation Priors for Human Motion Tracking
* Efficient Classification for Additive Kernel SVMs
* Efficient Optimization of Performance Measures by Classifier Adaptation
* Estimating Information from Image Colors: An Application to Digital Cameras and Natural Scenes
* Explicit Modeling of Human-Object Interactions in Realistic Videos
* Fast and Accurate Matrix Completion via Truncated Nuclear Norm Regularization
* Fast Detection of Dense Subgraphs with Iterative Shrinking and Expansion
* FOCUSR: Feature Oriented Correspondence Using Spectral Regularization--A Method for Precise Surface Matching
* Fourier Lucas-Kanade Algorithm
* Graph Isomorphisms and Automorphisms via Spectral Signatures
* Guided Image Filtering
* Heterogeneous Face Recognition Using Kernel Prototype Similarities
* Hierarchical Aligned Cluster Analysis for Temporal Clustering of Human Motion
* Hough Forest Random Field for Object Recognition and Segmentation
* Image Denoising Using the Higher Order Singular Value Decomposition
* Image Transformation Based on Learning Dictionaries across Image Spaces
* Incremental Learning of 3D-DCT Compact Representations for Robust Visual Tracking
* Invariant Scattering Convolution Networks
* Inverse Rendering of Faces with a 3D Morphable Model
* Iterative Closest Normal Point for 3D Face Recognition
* Jensen-Bregman LogDet Divergence with Application to Efficient Similarity Search for Covariance Matrices
* Joint Depth Map and Color Consistency Estimation for Stereo Images with Different Illuminations and Cameras
* Keeping a Pan-Tilt-Zoom Camera Calibrated
* Laplacian Sparse Coding, Hypergraph Laplacian Sparse Coding, and Applications
* Learning a Confidence Measure for Optical Flow
* Learning AND-OR Templates for Object Recognition and Detection
* Learning Hierarchical Features for Scene Labeling
* Learning Multivariate Distributions by Competitive Assembly of Marginals
* Learning Topic Models by Belief Propagation
* Learning with Hierarchical-Deep Models
* Linear Dependency Modeling for Classifier Fusion and Feature Combination
* Local Evidence Aggregation for Regression-Based Facial Point Detection
* Local Transform Features and Hybridization for Accurate Face and Human Detection
* Monocular SLAM with Conditionally Independent Split Mapping
* Monocular Visual Scene Understanding: Understanding Multi-Object Traffic Scenes
* Moving Object Detection by Detecting Contiguous Outliers in the Low-Rank Representation
* Multi-Atlas Segmentation with Joint Label Fusion
* Multilayer Adaptive Linear Predictors for Real-Time Tracking
* Multiple Target Tracking by Learning-Based Hierarchical Association of Detection Responses
* Multiscale Local Phase Quantization for Robust Component-Based Face Recognition Using Kernel Fusion of Multiple Descriptors
* Numerical Conditioning Problems and Solutions for Nonparametric i.i.d. Statistical Active Contours
* Object Matching Using a Locally Affine Invariant and Linear Programming Techniques
* Online Feature Selection with Streaming Features
* Online Learning of Correspondences between Images
* Optimizing Nondecomposable Loss Functions in Structured Prediction
* Orientation Field Estimation for Latent Fingerprint Enhancement
* Partial Face Recognition: Alignment-Free Approach
* Pose and Expression Independent Facial Landmark Localization Using Dense-SURF and the Hausdorff Distance
* Probabilistic Tracking of Affine-Invariant Anisotropic Regions
* Projective Multiview Structure and Motion from Element-Wise Factorization
* Radiometric Calibration by Rank Minimization
* Range Image Registration Using a Photometric Metric under Unknown Lighting
* Recognition Using Specular Highlights
* Reidentification by Relative Distance Comparison
* Removing Atmospheric Turbulence via Space-Invariant Deconvolution
* Representation Learning: A Review and New Perspectives
* Robust Extrema Features for Time-Series Data Analysis
* Robust Recovery of Subspace Structures by Low-Rank Representation
* Robust Simultaneous Registration and Segmentation with Sparse Error Reconstruction
* Robust Visual Tracking Using an Adaptive Coupled-Layer Visual Model
* Scaling Up Spike-and-Slab Models for Unsupervised Feature Learning
* Segmentation, Inference and Classification of Partially Overlapping Nanoparticles
* Self-Calibration of Catadioptric Camera with Two Planar Mirrors from Silhouettes
* Simultaneous Cast Shadows, Illumination and Geometry Inference Using Hypergraphs
* Simultaneous Registration of Multiple Images: Similarity Metrics and Efficient Optimization
* Simultaneous Video Stabilization and Moving Object Detection in Turbulence
* Single-Image Vignetting Correction from Gradient Distribution Symmetries
* Spatial and Anatomical Regularization of SVM: A General Framework for Neuroimaging Data
* Spatially Varying Color Distributions for Interactive Multilabel Segmentation
* Spatiotemporal Alignment of Visual Signals on a Special Manifold
* Spectral 6DOF Registration of Noisy 3D Range Data with Partial Overlap
* Stacked Autoencoders for Unsupervised Feature Learning and Multiple Organ Detection in a Pilot Study Using 4D Patient Data
* State-of-the-Art in Visual Attention Modeling
* Stochastic Exploration of Ambiguities for Nonrigid Shape Recovery
* Support Vector Shape: A Classifier-Based Shape Representation
* Surface and Curve Skeletonization of Large 3D Models on the GPU
* Symmetric Fast Marching Schemes for Better Numerical Isotropy
* Tag Completion for Image Retrieval
* Tensor Completion for Estimating Missing Values in Visual Data
* The Impact of Cluster Representatives on the Convergence of the $(K)$-Modes Type Clustering
* The Infinite-Order Conditional Random Field Model for Sequential Data Modeling
* Time Series Analysis Using Geometric Template Matching
* Toward a Theory of Statistical Tree-Shape Analysis (HTML)
* Tracking People's Hands and Feet Using Mixed Network AND/OR Search
* Tree-Structured CRF Models for Interactive Image Labeling
* Unified Detection and Tracking of Instruments during Retinal Microsurgery
* USAC: A Universal Framework for Random Sample Consensus
* Visual Saliency Based on Scale-Space Analysis in the Frequency Domain
* Wang-Landau Monte Carlo-Based Tracking Methods for Abrupt Motions
* WESD--Weighted Spectral Distance for Measuring Shape Dissimilarity
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