M. Pawan Kumar
 
 

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Please see the OVAL publication page  for recent papers.

BOOK CHAPTERS AND MONOGRAPHS

N. Komodakis, M. Pawan Kumar and N. Paragios
(Hyper)-Graphs Inference through Convex Relaxations and Move Making Algorithms
Foundations and Trends in Computer Graphics and Vision

M. Pawan Kumar, V. Kolmogorov and P. Torr
Analyzing Convex Relaxations for MAP Estimation
Advances in Markov Random Fields for Vision and Image Processing

M. Pawan Kumar, P. Torr and A. Zisserman
An Object Category Specific MRF for Segmentation
Towards Category-Level Object Recognition

JOURNAL ARTICLES

M. Pawan Kumar and P. Dokania
Rounding-based Moves for Semi-Metric Labeling
In Journal of Machine Learning Research (JMLR), 2016

A. Behl, P. Mohapatra, C.V. Jawahar and M. Pawan Kumar
Optimizing Average Precision using Weakly Supervised Data
In Pattern Analysis and Machine Ingelligence (PAMI), 2015

M. Pawan Kumar, H. Turki, D. Preston and D. Koller
Parameter Estimation and Energy Minimization for Region-based Semantic Segmentation
In Pattern Analysis and Machine Ingelligence (PAMI), 2015

M. Pawan Kumar, O. Veksler and P. Torr
Improved Moves for Truncated Convex Models
In Journal of Machine Learning Research (JMLR), 2011

M. Pawan Kumar, P. Torr and A. Zisserman
OBJCUT: Efficient Segmentation using Top-Down and Bottom-Up Cues
In Pattern Analysis and Machine Intelligence (PAMI), 2010

M. Pawan Kumar, V. Kolmogorov and P. Torr
An Analysis of Convex Relaxations for MAP Estimation of Discrete MRFs
In Journal of Machine Learning Research (JMLR), 2009

P. Kohli, M. Pawan Kumar and P. Torr
P^3 and Beyond: Move Making Algorithms for Solving Higher Order Functions
In Pattern Analysis and Machine Intelligence (PAMI), 2009

M. Pawan Kumar, P.H.S. Torr and A. Zisserman
Learning Layered Motion Segmentations of Video
In International Journal of Computer Vision (IJCV), 2008

CONFERENCE PAPERS

R. Bunel, A. Desmaison, P. Kohli, P. Torr and M. Pawan Kumar
Adaptive Neural Compilation
In Proceedings of Advances in Neural Information Processing Systems (NIPS), 2016

D. Bouchacourt, M. Pawan Kumar and S. Nowozin
DISCO Nets: DISsimilarity COefficient Networks
In Proceedings of Advances in Neural Information Processing Systems (NIPS), 2016

R. Bunel, A. Desmaison, P. Kohli, P. Torr and M. Pawan Kumar
Efficient Continuous Relaxations for Dense CRF
In Proceedings of European Conference on Computer Vision (ECCV), 2016

P. Mohapatra, P. Dokania, C.V. Jawahar and M. Pawan Kumar
Partial Linearization based Optimization for Multi-Class SVM
In Proceedings of European Conference on Computer Vision (ECCV), 2016

J. Pritts, D. Rozumnyi, M. Pawan Kumar and O. Chum
Coplanar Repeats by Energy Minimization
In Proceedings of British Machine Vision Conference (BMVC), 2016

D. Bouchacourt, S. Nowozin and M. Pawan Kumar
Entropy-based Latent Structured Prediction
In Proceedings of International Conference on Computer Vision (ICCV), 2015

P. Dokania and M. Pawan Kumar
Parsimonious Labeling
In Proceedings of International Conference on Computer Vision (ICCV), 2015

P. Mohapatra, C. V. Jawahar and M. Pawan Kumar
Efficient Optimization for Average Precision SVM
In Proceedings of Advances in Neural Information Processing Systems (NIPS), 2014

M. Pawan Kumar
Rounding-based Moves for Metric Labeling
In Proceedings of Advances in Neural Information Processing Systems (NIPS), 2014

P. Dokania, A. Behl, C.V. Jawahar and M. Pawan Kumar
Learning to Rank using High-Order Information
In Proceedings of European Conference on Computer Vision (ECCV), 2014

A. Behl, C.V. Jawahar and M. Pawan Kumar
Optimizing Average Precision using Weakly Supervised Data
In Proceedings of Conference on Computer Vision and Pattern Recognition (CVPR), 2014

P.-Y. Baudin, D. Goodman, P. Kumar, N. Azzabou, P.G. Carlier, N. Paragios and M. Pawan Kumar
Discriminative Parameter Estimation for Random Walks Segmentation
In Proceedings of International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2013

W. Zaremba, M. Pawan Kumar, A. Gramfort and M. Blaschko
Learning from M/EEG Data with Variable Brain Activation Delays
In Proceedings of International Conference on Information Processing in Medical Imaging (IPMI), 2013

M. Pawan Kumar, B. Packer and D. Koller
Modeling Latent Variable Uncertainty for Loss-based Learning
In Proceedings of International Conference on Machine Learning (ICML), 2012

K. Miller, M. Pawan Kumar, B. Packer, D. Goodman and D. Koller
Max-Margin Min-Entropy Models
In Proceedings of Conference on Artificial Intelligence and Statistics (AISTATS), 2012

M. Pawan Kumar, H. Turki, D. Preston and D. Koller
Learning Specific-Class Segmentation from Diverse Data
In Proceedings of International Conference on Computer Vision (ICCV), 2011

M. Pawan Kumar, B. Packer and D. Koller
Self-Paced Learning for Latent Variable Models
In Proceedings of Advances in Neural Information Processing Systems (NIPS), 2010

M. Pawan Kumar and D. Koller
Efficiently Selecting Regions for Scene Understanding
In Proceedings of Conference on Computer Vision and Pattern Recognition (CVPR), 2010

P. Kohli and M. Pawan Kumar
Energy Minimization for Linear Envelope MRFs
In Proceedings of Conference on Computer Vision and Pattern Recognition (CVPR), 2010

M. Pawan Kumar and D. Koller
Learning a Small Mixture of Trees
In Proceedings of Advances in Neural Information Processing Systems (NIPS), 2009

M. Pawan Kumar, A. Zisserman and P. Torr
Efficient Discriminative Learning of Parts-based Models
In Proceedings of International Conference on Computer Vision (ICCV), 2009

M. Pawan Kumar and D. Koller
MAP Estimation of Semi-Metric MRFs via Hierarchical Graph Cuts
In Proceedings of Conference on Uncertainity in Artificial Intelligence (UAI), 2009

M. Pawan Kumar and P. Torr
Improved Moves for Truncated Convex Models
In Proceedings of Advances in Neural Information Processing Systems (NIPS), 2008

M. Pawan Kumar and P. Torr
Efficiently Solving Convex Relaxations for MAP Estimation
In Proceedings of International Conference on Machine Learning (ICML), 2008

M. Pawan Kumar, V. Kolmogorov and P. Torr
An Analysis of Convex Relaxations for MAP Estimation
In Proceedings of Advances in Neural Information Processing Systems (NIPS), 2007
Honourable mention, best student paper award

M. Pawan Kumar, P. Torr and A. Zisserman
An Invariant Large Margin Nearest Neighbour Classifier
In Proceedings of International Conference on Computer Vision (ICCV), 2007

P. Kohli, M. Pawan Kumar and P. Torr
P^3 and Beyond: Solving Energies with Higher Order Cliques
In Proceedings of Conference on Computer Vision and Pattern Recognition (CVPR), 2007

M. Pawan Kumar, P. Torr and A. Zisserman
Solving Markov Random Fields using Second Order Cone Programming Relaxations
In Proceedings of Conference on Computer Vision and Pattern Recognition (CVPR), 2006
Note: The algorithm presented in the above paper is dominated by the LP relaxation.
Please see our NIPS 2007 paper for more details.

M. Pawan Kumar and P. Torr
Fast Memory-Efficient Generalized Belief Propagation
In Proceedings of European Conference on Computer Vision (ECCV), 2006
Note: This is a new version with corrected claims.
The algorithm is exact for the special case of hard constraints, and approximate otherwise.

M. Pawan Kumar, P. Torr and A. Zisserman
Learning Layered Motion Segmentations of Video
In Proceedings of International Conference on Computer Vision (ICCV), 2005

M. Pawan Kumar, P. Torr and A. Zisserman
OBJ CUT
In Proceedings of Conference on Computer Vision and Pattern Recognition (CVPR), 2005

M. Pawan Kumar, P. Torr and A. Zisserman
Learning Layered Pictorial Structures from Video
In Proceedings of Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), 2004
IAPR best paper award at conference

M. Pawan Kumar, P. Torr and A. Zisserman
Extending Pictorial Structures for Object Recognition
In Proceedings of British Machine Vision Conference (BMVC), 2004

THESES

Weakly Supervised Learning for Structured Output Prediction
HDR, Ecole Normale Superieure de Cachan, 2013

Combinatorial and Convex Optimization for Probabilistic Models in Computer Vision
PhD, Oxford Brookes University, 2008
BMVA Sullivan thesis prize

 


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