M. Pawan Kumar
Postdoctoral Research Associate
Department of Computer Science
Stanford University
M. Pawan Kumar and D. Koller.
Learning a Small Mixture of Trees.
In Proceedings of Advances in Neural Information Processing Systems (NIPS), 2009.
[pdf][abstract][bibtex][poster]
M. Pawan Kumar, A. Zisserman and
P.H.S. Torr.
Efficient Discriminative Learning of Parts-based Models.
In Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2009.
[pdf][abstract][bibtex][poster]
M. Pawan Kumar and D. Koller.
MAP Estimation of Semi-Metric MRFs via Hierarchical Graph Cuts.
In Proceedings of the Conference on Uncertainity in Artificial Intelligence (UAI), 2009.
[pdf][abstract][bibtex][tech-report]
[poster]
M. Pawan Kumar, V.
Kolmogorov and P.H.S. Torr.
An Analysis of Convex Relaxations for MAP Estimation of Discrete MRFs.
In the Journal of Machine Learning Research (JMLR), 2009.
[pdf][abstract][bibtex]
Earlier version appeared in NIPS, 2007.
M. Pawan Kumar, P.H.S.
Torr and A. Zisserman.
OBJCUT: Efficient Segmentation using Top-Down and Bottom-Up Cues.
To appear in the IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2009.
[pdf][abstract][bibtex]
Earlier version appeared in CVPR, 2005.
M. Pawan Kumar, P.H.S.
Torr and A. Zisserman.
Learning Layered Motion Segmentations of Video.
In the International Journal of Computer Vision (IJCV), March, 2008.
[pdf][abstract][bibtex]
Earlier version appeared in ICCV, 2005.
TALKS
Improved Moves for Truncated Convex Models. [download]
An Invariant Large Margin Nearest Neighbour Classifier. [download]
Layered Pictorial Structures for Object Category Segmentation. [download]
Junction Tree Algorithm - Brookes Vision Reading Group. [download]
Introduction to Convex Programming - Brookes Vision Reading Group. [download]
MAP Estimation Algorithms in Computer Vision - ECCV 2008 Tutorial.
[webpage]
MAP Inference in Discrete Models - ICCV 2009 Tutorial.
[webpage]
Resume
DBLP Page
DAGS