COV2: Ed. Board
Discrete optimization in computer vision
Improved spectral relaxation methods for binary quadratic optimization problems
Performance vs computational efficiency for optimizing single and dynamic MRFs: Setting the state of the art with primal-dual strategies
Measuring uncertainty in graph cut solutions
Efficient belief propagation for higher-order cliques using linear constraint nodes
Canonical subsets of image features
Limited view CT reconstruction and segmentation via constrained metric labeling
Topology cuts: A novel min-cut/max-flow algorithm for topology preserving segmentation in N–D images
Efficient MRF deformation model for non-rigid image matching