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Tamir Hazan
Tamir Hazan
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Non-negative tensor factorization with applications to statistics and computer vision
A Shashua, T Hazan
Proceedings of the 22nd international conference on Machine learning, 792-799, 2005
6552005
Perturbations, optimization, and statistics
T Hazan, G Papandreou, D Tarlow
MIT Press, 2016
238*2016
Sparse image coding using a 3D non-negative tensor factorization
T Hazan, S Polak, A Shashua
Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 1 …, 2005
2372005
Direct loss minimization for structured prediction
T Hazan, J Keshet, D McAllester
Advances in neural information processing systems 23, 2010
1742010
Continuous markov random fields for robust stereo estimation
K Yamaguchi, T Hazan, D McAllester, R Urtasun
Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012
1642012
Multi-way clustering using super-symmetric non-negative tensor factorization
A Shashua, R Zass, T Hazan
Computer Vision–ECCV 2006: 9th European Conference on Computer Vision, Graz …, 2006
1642006
Efficient structured prediction for 3d indoor scene understanding
AG Schwing, T Hazan, M Pollefeys, R Urtasun
2012 IEEE conference on computer vision and pattern recognition, 2815-2822, 2012
1532012
Norm-product belief propagation: Primal-dual message-passing for approximate inference
T Hazan, A Shashua
IEEE Transactions on Information Theory 56 (12), 6294-6316, 2010
1522010
Factor graph attention
I Schwartz, S Yu, T Hazan, AG Schwing
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1212019
High-order attention models for visual question answering
I Schwartz, A Schwing, T Hazan
Advances in Neural Information Processing Systems 30, 2017
1162017
On the partition function and random maximum a-posteriori perturbations
T Hazan, T Jaakkola
Proceedings of the 29th International Conference on Machine Learning, 2012
1102012
A primal-dual message-passing algorithm for approximated large scale structured prediction
T Hazan, R Urtasun
Advances in neural information processing systems 23, 2010
1022010
Distributed message passing for large scale graphical models
A Schwing, T Hazan, M Pollefeys, R Urtasun
CVPR 2011, 1833-1840, 2011
962011
Modeling appearances with low-rank svm
L Wolf, H Jhuang, T Hazan
2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-6, 2007
952007
Steps toward deep kernel methods from infinite neural networks
T Hazan, T Jaakkola
arXiv preprint arXiv:1508.05133, 2015
932015
Convergent message-passing algorithms for inference over general graphs with convex free energies
T Hazan, A Shashua
The 24th Conference on Uncertainty in Artificial Intelligence, 2008
86*2008
Efficient structured prediction with latent variables for general graphical models
A Schwing, T Hazan, M Pollefeys, R Urtasun
Proceedings of the 29th International Conference on Machine Learning, 2012
812012
On sampling from the gibbs distribution with random maximum a-posteriori perturbations
T Hazan, S Maji, T Jaakkola
Advances in Neural Information Processing Systems 26, 2013
792013
Removing bias in multi-modal classifiers: Regularization by maximizing functional entropies
I Gat, I Schwartz, A Schwing, T Hazan
Advances in Neural Information Processing Systems 33, 3197-3208, 2020
732020
Visual navigation with spatial attention
B Mayo, T Hazan, A Tal
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
662021
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Artículos 1–20