*EMMCVPR01*
* ***EMMCVPR**

* 3D Flux Maximizing Flows

* Application of Genetic Algorithms to 3-D Shape Reconstruction in an Active Stereo Vision System

* Articulated Object Tracking via a Genetic Algorithm

* Averaged Template Matching Equations

* Complementary Pivoting Approach to Graph Matching, A

* Continuous Shape Descriptor by Orientation Diffusion, A

* Designing Moiré Patterns

* Designing the Minimal Structure of Hidden Markov Model by Bisimulation

* Discrete/Continuous Minimization Method in Interferometric Image Processing, A

* Double-Loop Algorithm to Minimize the Bethe Free Energy, A

* Edge Based Probabilistic Relaxation for Sub-pixel Contour Extraction

* Efficiently Computing Weighted Tree Edit Distance Using Relaxation Labeling

* Estimation of Distribution Algorithms: A New Evolutionary Computation Approach for Graph Matching Problems

* Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision, An

* Fast MAP Algorithm for 3D Ultrasound, A

* Gabor Feature Space Diffusion via the Minimal Weighted Area Method

* Geodesic Interpolating Splines

* Global Energy Minimization: A Transformation Approach

* Global Feedforward Neural Network Learning for Classification and Regression

* Grouping with Directed Relationships

* Hierarchical Markov Random Field Model for Figure-Ground Segregation, A

* Highlight and Shading Invariant Color Image Segmentation Using Simulated Annealing

* Illumination Invariant Recognition of Color Texture Using Correlation and Covariance Functions

* Image Labeling and Grouping by Minimizing Linear Functionals over Cones

* Learning Matrix Space Image Representations

* Markov Process Using Curvature for Filtering Curve Images, A

* Matching Free Trees, Maximal Cliques, and Monotone Game Dynamics

* Matching Images to Models: Camera Calibration for 3-D Surface Reconstruction

* Maximum Likelihood Estimation of the Template of a Rigid Moving Object

* Maximum Likelihood Framework for Grouping and Segmentation, A

* Metric Similarities Learning through Examples: An Application to Shape Retrieval

* Multiple Contour Finding and Perceptual Grouping as a Set of Energy Minimizing Paths

* Optical Flow and Image Registration: A New Local Rigidity Approach for Global Minimization

* Optimization of Paintbrush Rendering of Images by Dynamic MCMC Methods

* Path Based Pairwise Data Clustering with Application to Texture Segmentation

* Relaxing Symmetric Multiple Windows Stereo Using Markov Random Fields

* Segmentations of Spatio-Temporal Images by Spatio-Temporal Markov Random Field Model

* Shape Tracking Using Centroid-Based Methods

* Spherical Object Reconstruction Using Star-Shaped Simplex Meshes

* Supervised Texture Segmentation by Maximising Conditional Likelihood

* Two Variational Models for Multispectral Image Classification

* Variational Approach to Maximum a Posteriori Estimation for Image Denoising, A

43 for EMMCVPR01

*EMMCVPR05*
* ***EMMCVPR**

* Adaptive Simulated Annealing for Energy Minimization Problem in a Marked Point Process Application

* Adaptive Variational Model for Image Decomposition, An

* Bayesian Image Segmentation Using Gaussian Field Priors

* Brain Image Analysis Using Spherical Splines

* Coined Quantum Walks Lift the Cospectrality of Graphs and Trees

* Color Correction of Underwater Images for Aquatic Robot Inspection

* Computational Approach to Fisher Information Geometry with Applications to Image Analysis, A

* Concurrent Stereo Matching: An Image Noise-Driven Model

* Constrained Hybrid Optimization Algorithm for Morphable Appearance Models, A

* Constrained Total Variation Minimization and Application in Computerized Tomography

* Deformable-Model Based Textured Object Segmentation

* Discontinuity Preserving Phase Unwrapping Using Graph Cuts

* Dynamic Shape and Appearance Modeling via Moving and Deforming Layers

* Edge Strength Functions as Shape Priors in Image Segmentation

* Energy Minimization Based Segmentation and Denoising Using a Multilayer Level Set Approach

* Exploiting Inference for Approximate Parameter Learning in Discriminative Fields: An Empirical Study

* Extraction of Layers of Similar Motion Through Combinatorial Techniques

* Geodesic Image Matching: A Wavelet Based Energy Minimization Scheme

* Geodesic Shooting and Diffeomorphic Matching Via Textured Meshes

* Handling Missing Data in the Computation of 3D Affine Transformations

* High-Order Differential Geometry of Curves for Multiview Reconstruction and Matching

* Increasing Efficiency of SVM by Adaptively Penalizing Outliers

* Kernel Methods for Nonlinear Discriminative Data Analysis

* Learning Hierarchical Shape Models from Examples

* Linear Programming Matching and Appearance-Adaptive Object Tracking

* Locally Linear Isometric Parameterization

* Maximum-Likelihood Estimation of Biological Growth Variables

* New Implicit Method for Surface Segmentation by Minimal Paths: Applications in 3D Medical Images, A

* Object Categorization by Compositional Graphical Models

* One-Shot Integral Invariant Shape Priors for Variational Segmentation

* Optimizing the Cauchy-Schwarz PDF Distance for Information Theoretic, Non-parametric Clustering

* Probabilistic Subgraph Matching Based on Convex Relaxation

* Relaxation of Hard Classification Targets for LSE Minimization

* Retrieving Articulated 3-D Models Using Medial Surfaces and Their Graph Spectra

* Reverse-Convex Programming for Sparse Image Codes

* Segmentation Informed by Manifold Learning

* Some New Results on Non-rigid Correspondence and Classification of Curves

* Spatio-temporal Prior Shape Constraint for Level Set Segmentation

* Spatio-temporal Segmentation Using Dominant Sets

* Stable Bounded Canonical Sets and Image Matching

* Stereo for Slanted Surfaces: First Order Disparities and Normal Consistency

* Total Variation Minimization and a Class of Binary MRF Models

43 for EMMCVPR05

*EMMCVPR07*
* ***EMMCVPR**

* 3D Computation of Gray Level Co-occurrence in Hyperspectral Image Cubes

* a Contrario Approach for Parameters Estimation of a Motion-Blurred Image, An

* Active Appearance Models Fitting with Occlusion

* Automatic Portrait System Based on And-Or Graph Representation, An

* Bayesian Inference for Layer Representation with Mixed Markov Random Field

* Bayesian Order-Adaptive Clustering for Video Segmentation

* Boosting Discriminative Model for Moving Cast Shadow Detection, A

* Bottom-Up Recognition and Parsing of the Human Body

* CIDER: Corrected Inverse-Denoising Filter for Image Restoration

* Combining Left and Right Irises for Personal Authentication

* Compositional Object Recognition, Segmentation, and Tracking in Video

* Continuous Global Optimization in Multiview 3D Reconstruction

* Decomposing Document Images by Heuristic Search

* Dichromatic Reflection Separation from a Single Image

* Discrete Skeleton Evolution

* Dynamic Feature Cascade for Multiple Object Tracking with Trackability Analysis

* Effective Multi-level Algorithm Based on Simulated Annealing for Bisecting Graph, An

* Efficient Shape Matching Via Graph Cuts

* Energy Minimisation Approach to Attributed Graph Regularisation, An

* Energy-Based Reconstruction of 3D Curves for Quality Control

* Exact Solution of Permuted Submodular MinSum Problems

* Improved Object Tracking Using an Adaptive Colour Model

* Introduction to a Large-Scale General Purpose Ground Truth Database: Methodology, Annotation Tool and Benchmarks

* Marked Point Process for Vascular Tree Extraction on Angiogram

* New Bayesian Method for Range Image Segmentation, A

* Noise Removal and Restoration Using Voting-Based Analysis and Image Segmentation Based on Statistical Models

* Object Category Recognition Using Generative Template Boosting

* Probabilistic Fiber Tracking Using Particle Filtering and Von Mises-Fisher Sampling

* Pupil Localization Algorithm Based on Adaptive Gabor Filtering and Negative Radial Symmetry, A

* Removing Shape-Preserving Transformations in Square-Root Elastic (SRE) Framework for Shape Analysis of Curves

* Shape Analysis of Open Curves in R3 with Applications to Study of Fiber Tracts in DT-MRI Data

* Shape Classification Based on Skeleton Path Similarity

* Simulating Classic Mosaics with Graph Cuts

* Skew Detection Algorithm for Form Document Based on Elongate Feature

* Surface Reconstruction from LiDAR Data with Extended Snake Theory

* Szemerédi's Regularity Lemma and Its Applications to Pairwise Clustering and Segmentation

* Vehicle Tracking Based on Image Alignment in Aerial Videos

38 for EMMCVPR07

*EMMCVPR09*
* ***EMMCVPR**

* Bipartite Graph Matching Computation on GPU

* Boundaries as Contours of Optimal Appearance and Area of Support

* Clustering-Based Construction of Hidden Markov Models for Generative Kernels

* Color Image Restoration Using Nonlocal Mumford-Shah Regularizers

* Color Image Segmentation in a Quaternion Framework

* Complementary Optic Flow

* Complex Diffusion on Scalar and Vector Valued Image Graphs

* Computing the Local Continuity Order of Optical Flow Using Fractional Variational Method

* Detection and Segmentation of Independently Moving Objects from Dense Scene Flow

* Efficient Global Minimization for the Multiphase Chan-Vese Model of Image Segmentation

* Exemplar-Based Interpolation of Sparsely Sampled Images

* General Search Algorithms for Energy Minimization Problems

* Geodesics in Shape Space via Variational Time Discretization

* Global Optimal Multiple Object Detection Using the Fusion of Shape and Color Information

* Hierarchical Pairwise Segmentation Using Dominant Sets and Anisotropic Diffusion Kernels

* Hierarchical Vibrations: A Structural Decomposition Approach for Image Analysis

* Human Age Estimation by Metric Learning for Regression Problems

* Image Filtering Driven by Level Curves

* Image Registration under Varying Illumination: Hyper-Demons Algorithm

* Integrating the Normal Field of a Surface in the Presence of Discontinuities

* Intrinsic Second-Order Geometric Optimization for Robust Point Set Registration without Correspondence

* Local Normal-Based Region Term for Active Contours, A

* Locally Parallel Textures Modeling with Adapted Hilbert Spaces

* Multi-label Moves for MRFs with Truncated Convex Priors

* On a Decomposition Model for Optical Flow

* Parallel Hidden Hierarchical Fields for Multi-scale Reconstruction

* Parameter Estimation for Marked Point Processes. Application to Object Extraction from Remote Sensing Images

* PDE Approach to Coupled Super-Resolution with Non-parametric Motion, A

* Pose-Invariant Face Matching Using MRF Energy Minimization Framework

* Quaternion-Based Color Image Smoothing Using a Spatially Varying Kernel

* Reconstructing Optical Flow Fields by Motion Inpainting

* Robust Segmentation by Cutting across a Stack of Gamma Transformed Images

* Schrödinger Wave Equation Approach to the Eikonal Equation: Application to Image Analysis, A

* Three Dimensional Monocular Human Motion Analysis in End-Effector Space

* Tracking as Segmentation of Spatial-Temporal Volumes by Anisotropic Weighted TV

* Variational Framework for Non-local Image Inpainting, A

37 for EMMCVPR09

*EMMCVPR11*
* ***EMMCVPR**

* Branch and Bound Strategies for Non-maximal Suppression in Object Detection

* Complex Wave Representation of Distance Transforms, The

* Curvature Regularity for Multi-label Problems: Standard and Customized Linear Programming

* Curvature Regularization for Curves and Surfaces in a Global Optimization Framework

* Data-Driven Importance Distributions for Articulated Tracking

* Detachable Object Detection with Efficient Model Selection

* Discrete Optimization of the Multiphase Piecewise Constant Mumford-Shah Functional

* Distributed Mincut/Maxflow Algorithm Combining Path Augmentation and Push-Relabel, A

* Evaluation of a First-Order Primal-Dual Algorithm for MRF Energy Minimization

* Fast Solver for Truncated-Convex Priors: Quantized-Convex Split Moves, A

* Global Relabeling for Continuous Optimization in Binary Image Segmentation

* Globally Optimal Image Partitioning by Multicuts

* High Resolution Segmentation of Neuronal Tissues from Low Depth-Resolution EM Imagery

* Image Segmentation with a Shape Prior Based on Simplified Skeleton

* Interactive Segmentation with Super-Labels

* Intermediate Flow Field Filtering in Energy Based Optic Flow Computations

* Metrics, Connections, and Correspondence: The Setting for Groupwise Shape Analysis

* Minimizing Count-Based High Order Terms in Markov Random Fields

* Multiple-Instance Learning with Structured Bag Models

* Optical Flow Guided TV-L1 Video Interpolation and Restoration

* Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem

* Optimization of Robust Loss Functions for Weakly-Labeled Image Taxonomies: An ImageNet Case Study

* Robust Trajectory-Space TV-L1 Optical Flow for Non-rigid Sequences

* SlimCuts: GraphCuts for High Resolution Images Using Graph Reduction

* Space-Varying Color Distributions for Interactive Multiregion Segmentation: Discrete versus Continuous Approaches

* Stop Condition for Subgradient Minimization in Dual Relaxed (max,+) Problem

* Temporally Consistent Gradient Domain Video Editing

* Texture Segmentation via Non-local Non-parametric Active Contours

* TV-L1 Optical Flow for Vector Valued Images

* Using the Higher Order Singular Value Decomposition for Video Denoising

31 for EMMCVPR11

*EMMCVPR15*
* ***EMMCVPR**

* Adaptive Dictionary-Based Spatio-temporal Flow Estimation for Echo PIV

* Automatic Shape Constraint Selection Based Object Segmentation

* Blind Deconvolution via Lower-Bounded Logarithmic Image Priors

* Coarse-to-Fine Minimization of Some Common Nonconvexities

* Color Image Segmentation by Minimal Surface Smoothing

* Compact Linear Programming Relaxation for Binary Sub-modular MRF, A

* Convex Envelopes for Low Rank Approximation

* Convex Solution to Disparity Estimation from Light Fields via the Primal-Dual Method, A

* Discrete Green's Functions for Harmonic and Biharmonic Inpainting with Sparse Atoms

* Domain Decomposition Methods for Total Variation Minimization

* Efficient Curve Evolution Algorithm for Multiphase Image Segmentation, An

* Expected Patch Log Likelihood with a Sparse Prior

* Fast Projection Method for Connectivity Constraints in Image Segmentation, A

* Hierarchical Planar Correlation Clustering for Cell Segmentation

* How Hard Is the LP Relaxation of the Potts Min-Sum Labeling Problem?

* Inpainting of Cyclic Data Using First and Second Order Differences

* Justifying Tensor-Driven Diffusion from Structure-Adaptive Statistics of Natural Images

* Low Rank Priors for Color Image Regularization

* Mapping the Energy Landscape of Non-convex Optimization Problems

* Marked Point Process Model for Curvilinear Structures Extraction

* Maximizing Flows with Message-Passing: Computing Spatially Continuous Min-Cuts

* Multi-class Graph Mumford-Shah Model for Plume Detection Using the MBO scheme

* Multi-utility Learning: Structured-Output Learning with Multiple Annotation-Specific Loss Functions

* Novel Active Contour Model for Texture Segmentation, A

* Novel Framework for Nonlocal Vectorial Total Variation Based on L p,q,r-norms, A

* On the Link between Gaussian Homotopy Continuation and Convex Envelopes

* Optical Flow with Geometric Occlusion Estimation and Fusion of Multiple Frames

* Point Sets Matching by Feature-Aware Mixture Point Matching Algorithm

* Randomly Walking Can Get You Lost: Graph Segmentation with Unknown Edge Weights

* Segmentation Using SubMarkov Random Walk

* Technique for Lung Nodule Candidate Detection in CT Using Global Minimization Methods, A

* Tensor Variational Formulation of Gradient Energy Total Variation, A

* Training of Templates for Object Recognition in Invertible Orientation Scores: Application to Optic Nerve Head Detection in Retinal Images

* Two-Dimensional Variational Mode Decomposition

* Variational Time-Implicit Multiphase Level-Sets

* Why Does Non-binary Mask Optimisation Work for Diffusion-Based Image Compression?

37 for EMMCVPR15

*EMMCVPR17*
* ***EMMCVPR**

* Autonomous Multi-camera Tracking Using Distributed Quadratic Optimization

* Bottom-Up Top-Down Cues for Weakly-Supervised Semantic Segmentation

* Bragg Diffraction Patterns as Graph Characteristics

* Convex Approach to K-Means Clustering and Image Segmentation, A

* Depth-Adaptive Computational Policies for Efficient Visual Tracking

* Discretized Convex Relaxations for the Piecewise Smooth Mumford-Shah Model

* Dominant Set Biclustering

* Euler-Lagrange Network Dynamics

* Fast Asymmetric Fronts Propagation for Voronoi Region Partitioning and Image Segmentation

* Geometric Image Labeling with Global Convex Labeling Constraints

* Graph Theoretic Approach for Shape from Shading, A

* Illumination-Aware Large Displacement Optical Flow

* Inverse Lightfield Rendering for Shape, Reflection and Natural Illumination

* Ising Models for Binary Clustering via Adiabatic Quantum Computing

* Isotropic Minimal Path Based Framework for Segmentation and Quantification of Vascular Networks, An

* Limited-Memory Belief Propagation via Nested Optimization

* Location Uncertainty Principle: Toward the Definition of Parameter-Free Motion Estimators

* Luminance-Guided Chrominance Denoising with Debiased Coupled Total Variation

* Maximum Consensus Parameter Estimation by Reweighted L_1 Methods

* Modelling Stable Backward Diffusion and Repulsive Swarms with Convex Energies and Range Constraints

* Multi-object Convexity Shape Prior for Segmentation

* Multiframe Motion Coupling for Video Super Resolution

* Nonlinear Compressed Sensing for Multi-emitter X-Ray Imaging

* Optimizing Wavelet Bases for Sparser Representations

* PointFlow: A Model for Automatically Tracing Object Boundaries and Inferring Illusory Contours

* Projected Gradient Descent Method for CRF Inference Allowing End-to-End Training of Arbitrary Pairwise Potentials, A

* Quantum Interference and Shape Detection

* Shadow and Specularity Priors for Intrinsic Light Field Decomposition

* Sharpening Hyperspectral Images Using Spatial and Spectral Priors in a Plug-and-Play Algorithm

* Slack and Margin Rescaling as Convex Extensions of Supermodular Functions

* Structured Output Prediction and Learning for Deep Monocular 3D Human Pose Estimation

* Superpixels Optimized by Color and Shape

* Temporal Semantic Motion Segmentation Using Spatio Temporal Optimization

* Unified Functional Framework for Restoration of Image Sequences Degraded by Atmospheric Turbulence

* Variational Approach to Shape-from-Shading Under Natural Illumination, A

* Variational Large Displacement Optical Flow Without Feature Matches

* Vehicle X-Ray Images Registration

38 for EMMCVPR17

Last update:24-Sep-20 20:31:16

Use price@usc.edu for comments.