| 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 | 1549 | 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 | 1249 | 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 | 774 | 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 | 668 | 2017 |
| Accelerating eulerian fluid simulation with convolutional networks J Tompson, K Schlachter, P Sprechmann, K Perlin International Conference on Machine Learning, 3424-3433, 2017 | 430 | 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 | 425 | 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 | 221 | 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 | 187 | 2014 |
| Discovery of latent 3d keypoints via end-to-end geometric reasoning S Suwajanakorn, N Snavely, JJ Tompson, M Norouzi Advances in neural information processing systems 31, 2018 | 174 | 2018 |
| 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 | 161 | 2019 |
| 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 | 158 | 2015 |
| 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 | 149 | 2018 |
| 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 | 142 | 2020 |
| 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 | 134 | 2015 |
| An introduction to the opencl programming model J Tompson, K Schlachter Person Education 49, 31, 2012 | 89 | 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 | 71 | 2016 |
| Imitation learning via off-policy distribution matching I Kostrikov, O Nachum, J Tompson arXiv preprint arXiv:1912.05032, 2019 | 64 | 2019 |
| 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 | 61* | 2018 |
| Transporter networks: Rearranging the visual world for robotic manipulation A Zeng, P Florence, J Tompson, S Welker, J Chien, M Attarian, ... arXiv preprint arXiv:2010.14406, 2020 | 57 | 2020 |
| Offline reinforcement learning with fisher divergence critic regularization I Kostrikov, R Fergus, J Tompson, O Nachum International Conference on Machine Learning, 5774-5783, 2021 | 50 | 2021 |
Christoph (Chris) BreglerGoogleVerified email at google.com
