Efficient Graph Cuts for Multiclass Interactive Image Segmentation
Optimal Learning High-Order Markov Random Fields Priors of Colour Image
Evolving Measurement Regions for Depth from Defocus
MAPACo-Training: A Novel Online Learning Algorithm of Behavior Models
Key Frame-Based Activity Representation Using Antieigenvalues
Markovian Framework for Foreground-Background-Shadow Separation of Real World Video Scenes
A Multi-Layer MRF Model for Video Object Segmentation
Tracking Targets Via Particle Based Belief Propagation
Recognition and Segmentation of 3-D Human Action Using HMM and Multi-class AdaBoost
A Comparative Study of Energy Minimization Methods for Markov Random Fields
PoseCut: Simultaneous Segmentation and 3D Pose Estimation of Humans Using Dynamic Graph-Cuts
Tracking Dynamic Near-Regular Texture Under Occlusion and Rapid Movements
Direct Energy Minimization for Super-Resolution on Nonlinear Manifolds
Detecting Instances of Shape Classes That Exhibit Variable Structure
Dense Photometric Stereo by Expectation Maximization
Statistical Priors for Efficient Combinatorial Optimization Via Graph Cuts
Smooth Foreground-Background Segmentation for Video Processing
A Hierarchical Framework for Generic Sports Video Classification