A Comparative Study of Energy Minimization Methods for Markov Random Fields
A Hierarchical Framework for Generic Sports Video Classification
A Multi-Layer MRF Model for Video Object Segmentation
Dense Photometric Stereo by Expectation Maximization
Detecting Instances of Shape Classes That Exhibit Variable Structure
Direct Energy Minimization for Super-Resolution on Nonlinear Manifolds
Driver models for personalised driving assistance
Efficient Graph Cuts for Multiclass Interactive Image Segmentation
Evolving Measurement Regions for Depth from Defocus
Hierachical and Cooperative Control of Complex Distributed Systems
Interactive Contour Extraction Using NURBS-HMM
Key Frame-Based Activity Representation Using Antieigenvalues
MAPACo-Training: A Novel Online Learning Algorithm of Behavior Models
Markovian Framework for Foreground-Background-Shadow Separation of Real World Video Scenes
Markov random fields for vision and image processing
On the statistics of coherent vortices in incoherent environments
Optimal Learning High-Order Markov Random Fields Priors of Colour Image