| 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 | 2070 | 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 | 1948 | 2015 |
| Palm-e: An embodied multimodal language model D Driess, F Xia, MSM Sajjadi, C Lynch, A Chowdhery, A Wahid, ... | 1756 | 2023 |
| 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 | 1123 | 2017 |
| 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 | 1006 | 2014 |
| Inner monologue: Embodied reasoning through planning with language models W Huang, F Xia, T Xiao, H Chan, J Liang, P Florence, A Zeng, J Tompson, ... arXiv preprint arXiv:2207.05608, 2022 | 929 | 2022 |
| 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 | 797 | 2018 |
| Accelerating eulerian fluid simulation with convolutional networks J Tompson, K Schlachter, P Sprechmann, K Perlin International conference on machine learning, 3424-3433, 2017 | 736 | 2017 |
| Open x-embodiment: Robotic learning datasets and rt-x models JJ Lim IEEE International Conference on Robotics and Automation, 2024 | 561* | 2024 |
| With a little help from my friends: Nearest-neighbor contrastive learning of visual representations D Dwibedi, Y Aytar, J Tompson, P Sermanet, A Zisserman Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 545 | 2021 |
| Transporter networks: Rearranging the visual world for robotic manipulation A Zeng, P Florence, J Tompson, S Welker, J Chien, M Attarian, ... Conference on Robot Learning, 726-747, 2021 | 487 | 2021 |
| 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 | 449 | 2020 |
| Implicit behavioral cloning P Florence, C Lynch, A Zeng, OA Ramirez, A Wahid, L Downs, A Wong, ... Conference on robot learning, 158-168, 2022 | 427 | 2022 |
| Offline reinforcement learning with fisher divergence critic regularization I Kostrikov, R Fergus, J Tompson, O Nachum International Conference on Machine Learning, 5774-5783, 2021 | 350 | 2021 |
| 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 | 346 | 2019 |
| 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 | 343 | 2018 |
| 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 | 285 | 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 | 264 | 2013 |
| Imitation learning via off-policy distribution matching I Kostrikov, O Nachum, J Tompson arXiv preprint arXiv:1912.05032, 2019 | 230 | 2019 |
| Modeep: A deep learning framework using motion features for human pose estimation A Jain, J Tompson, Y LeCun, C Bregler Computer Vision--ACCV 2014: 12th Asian Conference on Computer Vision …, 2015 | 227 | 2015 |
Pierre SermanetResearch Scientist, GoogleVerified email at google.com
