| Joint training of a convolutional network and a graphical model for human pose estimation JJ Tompson, A Jain, Y LeCun, C Bregler Advances in neural information processing systems 27, 1799-1807, 2014 | 1792* | 2014 |
| 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 | 1021 | 2015 |
| Real-time continuous pose recovery of human hands using convolutional networks J Tompson, M Stein, Y Lecun, K Perlin ACM Transactions on Graphics (ToG) 33 (5), 1-10, 2014 | 690 | 2014 |
| Towards accurate multi-person pose estimation in the wild G Papandreou, T Zhu, N Kanazawa, A Toshev, J Tompson, C Bregler, ... Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 497 | 2017 |
| Accelerating eulerian fluid simulation with convolutional networks J Tompson, K Schlachter, P Sprechmann, K Perlin International Conference on Machine Learning, 3424-3433, 2017 | 336 | 2017 |
| Personlab: Person pose estimation and instance segmentation with a bottom-up, part-based, geometric embedding model G Papandreou, T Zhu, LC Chen, S Gidaris, J Tompson, K Murphy Proceedings of the European Conference on Computer Vision (ECCV), 269-286, 2018 | 264 | 2018 |
| Learning human pose estimation features with convolutional networks A Jain, J Tompson, M Andriluka, GW Taylor, C Bregler arXiv preprint arXiv:1312.7302, 2013 | 196 | 2013 |
| Modeep: A deep learning framework using motion features for human pose estimation A Jain, J Tompson, Y LeCun, C Bregler Asian conference on computer vision, 302-315, 2014 | 172 | 2014 |
| Discovery of latent 3d keypoints via end-to-end geometric reasoning S Suwajanakorn, N Snavely, J Tompson, M Norouzi arXiv preprint arXiv:1807.03146, 2018 | 136 | 2018 |
| Efficient convnet-based marker-less motion capture in general scenes with a low number of cameras A Elhayek, E de Aguiar, A Jain, J Tompson, L Pishchulin, M Andriluka, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 133 | 2015 |
| 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 | 121 | 2015 |
| Temporal cycle-consistency learning D Dwibedi, Y Aytar, J Tompson, P Sermanet, A Zisserman Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 105 | 2019 |
| Learning latent plans from play C Lynch, M Khansari, T Xiao, V Kumar, J Tompson, S Levine, P Sermanet Conference on Robot Learning, 1113-1132, 2020 | 84 | 2020 |
| Discriminator-actor-critic: Addressing sample inefficiency and reward bias in adversarial imitation learning I Kostrikov, KK Agrawal, D Dwibedi, S Levine, J Tompson arXiv preprint arXiv:1809.02925, 2018 | 84 | 2018 |
| An introduction to the opencl programming model J Tompson, K Schlachter Person Education 49, 31, 2012 | 83 | 2012 |
| MARCOnI—ConvNet-based MARker-less motion capture in outdoor and indoor scenes A Elhayek, E de Aguiar, A Jain, J Thompson, L Pishchulin, M Andriluka, ... IEEE transactions on pattern analysis and machine intelligence 39 (3), 501-514, 2016 | 65 | 2016 |
| Unsupervised feature learning from temporal data R Goroshin, J Bruna, J Tompson, D Eigen, Y LeCun arXiv preprint arXiv:1504.02518, 2015 | 42 | 2015 |
| Imitation learning via off-policy distribution matching I Kostrikov, O Nachum, J Tompson arXiv preprint arXiv:1912.05032, 2019 | 31 | 2019 |
| Learning robotic manipulation of granular media C Schenck, J Tompson, S Levine, D Fox Conference on Robot Learning, 239-248, 2017 | 25 | 2017 |
| Learning actionable representations from visual observations D Dwibedi, J Tompson, C Lynch, P Sermanet 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 24 | 2018 |
Yann LeCunChief AI Scientist at Facebook & Silver Professor at the Courant Institute, New York UniversityVerified email at cs.nyu.edu
