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Kumar, M. Pawan - Department of Computer Science, Stanford University
Solving Markov Random Fields using Second Order Cone Programming Relaxations
An Invariant Large Margin Nearest Neighbour Classifier M. Pawan Kumar P.H.S. Torr A. Zisserman
An Analysis of Convex Relaxations for MAP Estimation M. Pawan Kumar V. Kolmogorov P.H.S. Torr
An Analysis of Convex Relaxations for MAP Estimation M. Pawan Kumar V. Kolmogorov P.H.S. Torr
OBJCUT: Efficient Segmentation using Top-Down and Bottom-Up Cues
Journal of Machine Learning Research 10 (2008) 71-106 Submitted 4/08; Revised 10/08; Published 1/09 An Analysis of Convex Relaxations for MAP Estimation of Discrete
Efficiently Solving Convex Relaxations for MAP Estimation M. Pawan Kumar pawan@robots.ox.ac.uk
Extending Pictorial Structures for Object Recognition
Pawan Kumar Mudigonda Postdoctoral Researcher
Efficiently Selecting Regions for Scene Understanding M. Pawan Kumar
Learning Layered Motion Segmentations of Video M. Pawan Kumar P.H.S. Torr A. Zisserman
Improved Moves for Truncated Convex Models M. Pawan Kumar P.H.S. Torr
STENNING: "CVXRELAX" --2009/12/15 --14:09 --PAGE 1 --#1 1 Analyzing Convex Relaxations
Efficiently Solving Convex Relaxations for MAP Estimation M. Pawan Kumar pawan@robots.ox.ac.uk
An Invariant Large Margin Nearest Neighbour Classifier M. Pawan Kumar P.H.S. Torr A. Zisserman
& Beyond: Solving Energies with Higher Order Cliques Pushmeet Kohli M. Pawan Kumar Philip H. S. Torr
Solving Energies with Higher Order Cliques Pushmeet Kohli M. Pawan Kumar Philip H.S. Torr
Learning Layered Motion Segmentations of Video M. Pawan Kumar P.H.S. Torr A. Zisserman
M. Pawan Kumar P.H.S. Torr A. Zisserman Dept. of Computing Dept. of Engineering Science
Combinatorial and Convex Optimization for Probabilistic Models in Computer Vision
Self-Paced Learning for Latent Variable Models M. Pawan Kumar Ben Packer Daphne Koller
Efficient Discriminative Learning of Parts-based Models M. Pawan Kumar
MAP Estimation of Semi-Metric MRFs via Hierarchical Graph Cuts M. Pawan Kumar
An Object Category Specific mrf for Segmentation
Improved Moves for Truncated Convex Models M. Pawan Kumar P.H.S. Torr
& Beyond: Move Making Algorithms for Solving Higher Order Functions
Fast Memory-Efficient Generalized Belief Propagation
Learning a Small Mixture of Trees M. Pawan Kumar
Journal of Machine Learning Research 12 (2011) 31-67 Submitted 11/09; Revised 9/10; Published 1/11 Improved Moves for Truncated Convex Models
Learning Layered Pictorial Structures from Video M.Pawan Kumar P.H.S. Torr A. Zisserman
MAP Estimation of Semi-Metric MRFs via Hierarchical Graph Cuts M. Pawan Kumar
Learning Specific-Class Segmentation from Diverse Data M. Pawan Kumar Haithem Turki Dan Preston Daphne Koller
Max-Margin Min-Entropy Models Kevin Miller M. Pawan Kumar Ben Packer
