M. Pawan Kumar
 
 

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Please see the OVAL publication page  for recent papers.

SELECTED PUBLICATIONS

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

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

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

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

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

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

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, 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

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

 


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