Folgen
M. Pawan Kumar
M. Pawan Kumar
DeepMind
Bestätigte E-Mail-Adresse bei deepmind.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Self-paced learning for latent variable models
M Kumar, B Packer, D Koller
Advances in neural information processing systems 23, 2010
13662010
Objcut: Efficient segmentation using top-down and bottom-up cues
MP Kumar, PHS Torr, A Zisserman
Pattern Analysis and Machine Intelligence, IEEE Transactions on 32 (3), 530-545, 2010
654*2010
P³ & Beyond: Move Making Algorithms for Solving Higher Order Functions
P Kohli, MP Kumar, PHS Torr
Pattern Analysis and Machine Intelligence, IEEE Transactions on 31 (9), 1645 …, 2009
458*2009
A unified view of piecewise linear neural network verification
RR Bunel, I Turkaslan, P Torr, P Kohli, PK Mudigonda
Advances in Neural Information Processing Systems 31, 2018
353*2018
Learning layered motion segmentations of video
MP Kumar, PHS Torr, A Zisserman
Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 1 …, 2005
2402005
Efficiently selecting regions for scene understanding
MP Kumar, D Koller
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
1812010
Branch and bound for piecewise linear neural network verification
R Bunel, P Mudigonda, I Turkaslan, P Torr, J Lu, P Kohli
Journal of Machine Learning Research 21 (2020), 2020
1202020
Parameter estimation and energy minimization for region-based semantic segmentation
MP Kumar, H Turki, D Preston, D Koller
IEEE transactions on pattern analysis and machine intelligence 37 (7), 1373-1386, 2014
120*2014
An analysis of convex relaxations for MAP estimation of discrete MRFs
MP Kumar, V Kolmogorov, PHS Torr
The Journal of Machine Learning Research 10, 71-106, 2009
119*2009
Efficient discriminative learning of parts-based models
MP Kumar, A Zisserman, PHS Torr
2009 IEEE 12th International Conference on Computer Vision, 552-559, 2009
1172009
Extending pictorial structures for object recognition
MP Kumar, PHS Torr, A Zisserman
Proc. BMVC, 81.1-81.10, 2004
1032004
Smooth loss functions for deep top-k classification
L Berrada, A Zisserman, MP Kumar
arXiv preprint arXiv:1802.07595, 2018
972018
Dissimilarity coefficient based weakly supervised object detection
A Arun, CV Jawahar, MP Kumar
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
882019
Improved moves for truncated convex models
MP Kumar, O Veksler, PHS Torr
The Journal of Machine Learning Research 12, 31-67, 2011
762011
A statistical approach to assessing neural network robustness
S Webb, T Rainforth, YW Teh, MP Kumar
arXiv preprint arXiv:1811.07209, 2018
742018
Energy minimization for linear envelope MRFs
P Kohli, MP Kumar
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
722010
Hybrid models for learning to branch
P Gupta, M Gasse, E Khalil, P Mudigonda, A Lodi, Y Bengio
Advances in neural information processing systems 33, 18087-18097, 2020
702020
Solving Markov random fields using second order cone programming relaxations
MP Kumar, PHS Torr, A Zisserman
Computer Vision and Pattern Recognition, 2006 IEEE Computer Society …, 2006
642006
Learning class-specific edges for object detection and segmentation
M Prasad, A Zisserman, A Fitzgibbon, MP Kumar, PHS Torr
Computer Vision, Graphics and Image Processing: 5th Indian Conference …, 2006
632006
Disco nets: Dissimilarity coefficients networks
D Bouchacourt, PK Mudigonda, S Nowozin
Advances in Neural Information Processing Systems 29, 2016
612016
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20