Ross Goroshin
Ross Goroshin
Google Brain
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TitleCited byYear
Efficient object localization using convolutional networks
J Tompson, R Goroshin, A Jain, Y LeCun, C Bregler
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
5082015
Learning to navigate in complex environments
P Mirowski, R Pascanu, F Viola, H Soyer, AJ Ballard, A Banino, M Denil, ...
arXiv preprint arXiv:1611.03673, 2016
3242016
Stacked What-Where Auto-encoders
J Zhao, M Mathieu, R Goroshin, Y LeCun
https://arxiv.org/abs/1506.02351, 2016
1922016
Vector-based navigation using grid-like representations in artificial agents
A Banino, C Barry, B Uria, C Blundell, T Lillicrap, P Mirowski, A Pritzel, ...
Nature 557 (7705), 429, 2018
1452018
Unsupervised learning of spatiotemporally coherent metrics
R Goroshin, J Bruna, J Tompson, D Eigen, Y LeCun
Proceedings of the IEEE international conference on computer vision, 4086-4093, 2015
113*2015
Learning to linearize under uncertainty
R Goroshin, MF Mathieu, Y LeCun
Advances in Neural Information Processing Systems, 1234-1242, 2015
822015
Saturating auto-encoders
R Goroshin, Y LeCun
arXiv preprint arXiv:1301.3577, 2013
422013
Meta-dataset: A dataset of datasets for learning to learn from few examples
E Triantafillou, T Zhu, V Dumoulin, P Lamblin, K Xu, R Goroshin, ...
arXiv preprint arXiv:1903.03096, 2019
242019
Approximate solutions to several visibility optimization problems
R Goroshin, Q Huynh, HM Zhou
Communications in Mathematical Sciences 9 (2), 535-550, 2011
162011
Automated cable tracking in sonar imagery
JC Isaacs, R Goroshin
OCEANS 2010 MTS/IEEE SEATTLE, 1-7, 2010
62010
Obstacle detection using a monocular camera
R Goroshin
Georgia Institute of Technology, 2008
32008
Unsupervised Feature Learning in Computer Vision
R Goroshin
New York University, 2015
22015
Automated cable detection in sonar imagery
JC Isaacs, R Goroshin
2009 IEEE International Conference on Systems, Man and Cybernetics, 2745-2750, 2009
12009
Tracking cables in sonar and optical imagery
JC Isaacs, R Goroshin
2010 IEEE 39th Applied Imagery Pattern Recognition Workshop (AIPR), 1-7, 2010
2010
Appendix for Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples
E Triantafillou, T Zhu, V Dumoulin, P Lamblin, K Xu, R Goroshin, ...
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