| 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 | 2069 | 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, ... | 1745 | 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 | 927 | 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 | 553* | 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 | 543 | 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 | 486 | 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 | 426 | 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, GoogleEmail confirmado em google.com
Debidatta DwibediGoogle DeepmindEmail confirmado em google.com
Pete FlorenceSenior Research Scientist, Google DeepMindEmail confirmado em google.com
Sergey LevineUC Berkeley, Physical IntelligenceEmail confirmado em eecs.berkeley.edu
Christoph (Chris) BreglerGoogleEmail confirmado em google.comAyzaan WahidGoogleEmail confirmado em google.com
Yann LeCunChief AI Scientist at Facebook & JT Schwarz Professor at the Courant Institute, New York UniversityEmail confirmado em cs.nyu.edu
Corey LynchFigure.aiEmail confirmado em figure.ai
Arjun JainFastcode AI, IIScEmail confirmado em iisc.ac.in
Andy ZengResearch Scientist, Google DeepMindEmail confirmado em google.com
Ted XiaoSenior Research Scientist, Google DeepMindEmail confirmado em google.com
Ross GoroshinGoogle BrainEmail confirmado em google.com
Yusuf AytarResearch Scientist, DeepMindEmail confirmado em google.com
Karol HausmanPhysical Intelligence, StanfordEmail confirmado em physicalintelligence.company
Igor MordatchGoogle DeepMind, UC BerkeleyEmail confirmado em google.com
Fei XiaResearch Scientist, Google DeepMindEmail confirmado em google.com
Yevgen ChebotarRobot AI at FigureEmail confirmado em figure.ai
Kristofer SchlachterNYUEmail confirmado em cs.nyu.edu