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ORCIDJonathan Tompson
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- affiliation: Google Brain, Mountain View, CA, USA
- affiliation: New York University, Courant Institute of Mathematical Sciences, NY, USA
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2020 – today
- 2024
[c37]Yilun Du, Sherry Yang, Pete Florence, Fei Xia, Ayzaan Wahid, Brian Ichter, Pierre Sermanet, Tianhe Yu, Pieter Abbeel, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Andy Zeng, Jonathan Tompson:
Video Language Planning. ICLR 2024- [c36]Sherry Yang, Yilun Du, Seyed Kamyar Seyed Ghasemipour, Jonathan Tompson, Leslie Pack Kaelbling, Dale Schuurmans, Pieter Abbeel:
Learning Interactive Real-World Simulators. ICLR 2024 - [c35]Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, João Silvério, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Sünderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin:
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. ICRA 2024: 6892-6903 - [i41]Jacky Liang, Fei Xia, Wenhao Yu, Andy Zeng, Montserrat Gonzalez Arenas, Maria Attarian, Maria Bauzá, Matthew Bennice, Alex Bewley, Adil Dostmohamed, Chuyuan Kelly Fu, Nimrod Gileadi, Marissa Giustina, Keerthana Gopalakrishnan, Leonard Hasenclever, Jan Humplik, Jasmine Hsu, Nikhil J. Joshi, Ben Jyenis, J. Chase Kew, Sean Kirmani, Tsang-Wei Edward Lee, Kuang-Huei Lee, Assaf Hurwitz Michaely, Joss Moore, Ken Oslund, Dushyant Rao, Allen Z. Ren, Baruch Tabanpour, Quan Vuong, Ayzaan Wahid, Ted Xiao, Ying Xu, Vincent Zhuang, Peng Xu, Erik Frey, Ken Caluwaerts, Tingnan Zhang, Brian Ichter, Jonathan Tompson, Leila Takayama, Vincent Vanhoucke, Izhak Shafran, Maja J. Mataric, Dorsa Sadigh, Nicolas Heess, Kanishka Rao, Nik Stewart, Jie Tan, Carolina Parada:
Learning to Learn Faster from Human Feedback with Language Model Predictive Control. CoRR abs/2402.11450 (2024) - [i40]Suneel Belkhale, Tianli Ding, Ted Xiao, Pierre Sermanet, Quon Vuong, Jonathan Tompson, Yevgen Chebotar, Debidatta Dwibedi, Dorsa Sadigh:
RT-H: Action Hierarchies Using Language. CoRR abs/2403.01823 (2024) - [i39]Debidatta Dwibedi, Vidhi Jain, Jonathan Tompson, Andrew Zisserman, Yusuf Aytar:
FlexCap: Generating Rich, Localized, and Flexible Captions in Images. CoRR abs/2403.12026 (2024) - [i38]ALOHA 2 Team, Jorge Aldaco, Travis Armstrong, Robert Baruch, Jeff Bingham, Sanky Chan, Kenneth Draper, Debidatta Dwibedi, Chelsea Finn, Pete Florence, Spencer Goodrich, Wayne Gramlich, Torr Hage, Alexander Herzog, Jonathan Hoech, Thinh Nguyen, Ian Storz, Baruch Tabanpour, Leila Takayama, Jonathan Tompson, Ayzaan Wahid, Ted Wahrburg, Sichun Xu, Sergey Yaroshenko, Kevin Zakka, Tony Z. Zhao:
ALOHA 2: An Enhanced Low-Cost Hardware for Bimanual Teleoperation. CoRR abs/2405.02292 (2024) - [i37]Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Andrew Zisserman:
OVR: A Dataset for Open Vocabulary Temporal Repetition Counting in Videos. CoRR abs/2407.17085 (2024) - [i36]Tony Z. Zhao, Jonathan Tompson, Danny Driess, Pete Florence, Kamyar Ghasemipour, Chelsea Finn, Ayzaan Wahid:
ALOHA Unleashed: A Simple Recipe for Robot Dexterity. CoRR abs/2410.13126 (2024) - 2023
- [c34]Maria Attarian, Muhammad Adil Asif, Jingzhou Liu, Ruthrash Hari, Animesh Garg, Igor Gilitschenski, Jonathan Tompson:
Geometry Matching for Multi-Embodiment Grasping. CoRL 2023: 1242-1256 - [c33]Bogdan Mazoure, Benjamin Eysenbach, Ofir Nachum, Jonathan Tompson:
Contrastive Value Learning: Implicit Models for Simple Offline RL. CoRL 2023: 1257-1267 - [c32]Danny Driess, Fei Xia, Mehdi S. M. Sajjadi, Corey Lynch, Aakanksha Chowdhery, Brian Ichter, Ayzaan Wahid, Jonathan Tompson, Quan Vuong, Tianhe Yu, Wenlong Huang, Yevgen Chebotar, Pierre Sermanet, Daniel Duckworth, Sergey Levine, Vincent Vanhoucke, Karol Hausman, Marc Toussaint, Klaus Greff, Andy Zeng, Igor Mordatch, Pete Florence:
PaLM-E: An Embodied Multimodal Language Model. ICML 2023: 8469-8488 - [c31]Negin Heravi, Ayzaan Wahid, Corey Lynch, Pete Florence, Travis Armstrong, Jonathan Tompson, Pierre Sermanet, Jeannette Bohg
, Debidatta Dwibedi:
Visuomotor Control in Multi-Object Scenes Using Object-Aware Representations. ICRA 2023: 9515-9522 - [c30]Ted Xiao, Harris Chan, Pierre Sermanet, Ayzaan Wahid, Anthony Brohan, Karol Hausman, Sergey Levine, Jonathan Tompson:
Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models. Robotics: Science and Systems 2023 - [c29]Tianhe Yu, Ted Xiao, Jonathan Tompson, Austin Stone, Su Wang, Anthony Brohan, Jaspiar Singh, Clayton Tan, Dee M, Jodilyn Peralta, Karol Hausman, Brian Ichter, Fei Xia:
Scaling Robot Learning with Semantically Imagined Experience. Robotics: Science and Systems 2023 - [i35]Tianhe Yu, Ted Xiao, Austin Stone, Jonathan Tompson, Anthony Brohan, Su Wang, Jaspiar Singh, Clayton Tan, Dee M, Jodilyn Peralta, Brian Ichter, Karol Hausman, Fei Xia:
Scaling Robot Learning with Semantically Imagined Experience. CoRR abs/2302.11550 (2023) - [i34]Danny Driess, Fei Xia, Mehdi S. M. Sajjadi, Corey Lynch, Aakanksha Chowdhery, Brian Ichter, Ayzaan Wahid, Jonathan Tompson, Quan Vuong, Tianhe Yu, Wenlong Huang, Yevgen Chebotar, Pierre Sermanet, Daniel Duckworth, Sergey Levine, Vincent Vanhoucke, Karol Hausman, Marc Toussaint, Klaus Greff, Andy Zeng, Igor Mordatch, Pete Florence:
PaLM-E: An Embodied Multimodal Language Model. CoRR abs/2303.03378 (2023) - [i33]Mengjiao Yang, Yilun Du, Kamyar Ghasemipour, Jonathan Tompson, Dale Schuurmans, Pieter Abbeel:
Learning Interactive Real-World Simulators. CoRR abs/2310.06114 (2023) - [i32]Yilun Du, Mengjiao Yang, Pete Florence, Fei Xia, Ayzaan Wahid, Brian Ichter, Pierre Sermanet, Tianhe Yu, Pieter Abbeel, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Andy Zeng, Jonathan Tompson:
Video Language Planning. CoRR abs/2310.10625 (2023) - [i31]Maria Attarian, Muhammad Adil Asif, Jingzhou Liu, Ruthrash Hari, Animesh Garg, Igor Gilitschenski, Jonathan Tompson:
Geometry Matching for Multi-Embodiment Grasping. CoRR abs/2312.03864 (2023) - 2022
- [c28]Wenlong Huang, Fei Xia, Ted Xiao, Harris Chan, Jacky Liang, Pete Florence, Andy Zeng, Jonathan Tompson, Igor Mordatch, Yevgen Chebotar, Pierre Sermanet, Tomas Jackson, Noah Brown, Linda Luu, Sergey Levine, Karol Hausman, Brian Ichter:
Inner Monologue: Embodied Reasoning through Planning with Language Models. CoRL 2022: 1769-1782 - [c27]Bogdan Mazoure, Ilya Kostrikov, Ofir Nachum, Jonathan Tompson:
Improving Zero-Shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions. NeurIPS 2022 - [i30]Negin Heravi, Ayzaan Wahid, Corey Lynch, Pete Florence, Travis Armstrong, Jonathan Tompson, Pierre Sermanet, Jeannette Bohg, Debidatta Dwibedi:
Visuomotor Control in Multi-Object Scenes Using Object-Aware Representations. CoRR abs/2205.06333 (2022) - [i29]Wenlong Huang, Fei Xia, Ted Xiao, Harris Chan, Jacky Liang, Pete Florence, Andy Zeng, Jonathan Tompson, Igor Mordatch, Yevgen Chebotar, Pierre Sermanet, Noah Brown, Tomas Jackson, Linda Luu, Sergey Levine, Karol Hausman, Brian Ichter:
Inner Monologue: Embodied Reasoning through Planning with Language Models. CoRR abs/2207.05608 (2022) - [i28]Corey Lynch, Ayzaan Wahid, Jonathan Tompson, Tianli Ding, James Betker, Robert Baruch, Travis Armstrong, Pete Florence:
Interactive Language: Talking to Robots in Real Time. CoRR abs/2210.06407 (2022) - [i27]Bogdan Mazoure, Benjamin Eysenbach, Ofir Nachum, Jonathan Tompson:
Contrastive Value Learning: Implicit Models for Simple Offline RL. CoRR abs/2211.02100 (2022) - [i26]Ted Xiao, Harris Chan, Pierre Sermanet, Ayzaan Wahid, Anthony Brohan, Karol Hausman, Sergey Levine, Jonathan Tompson:
Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models. CoRR abs/2211.11736 (2022) - 2021
- [c26]Pete Florence, Corey Lynch, Andy Zeng, Oscar A. Ramirez, Ayzaan Wahid, Laura Downs, Adrian Wong, Johnny Lee, Igor Mordatch, Jonathan Tompson:
Implicit Behavioral Cloning. CoRL 2021: 158-168 - [c25]Kevin Zakka, Andy Zeng, Pete Florence, Jonathan Tompson, Jeannette Bohg, Debidatta Dwibedi:
XIRL: Cross-embodiment Inverse Reinforcement Learning. CoRL 2021: 537-546 - [c24]Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman:
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations. ICCV 2021: 9568-9577 - [c23]Ilya Kostrikov, Rob Fergus, Jonathan Tompson, Ofir Nachum:
Offline Reinforcement Learning with Fisher Divergence Critic Regularization. ICML 2021: 5774-5783 - [c22]Daniel Seita, Pete Florence, Jonathan Tompson, Erwin Coumans, Vikas Sindhwani, Ken Goldberg, Andy Zeng:
Learning to Rearrange Deformable Cables, Fabrics, and Bags with Goal-Conditioned Transporter Networks. ICRA 2021: 4568-4575 - [i25]Ilya Kostrikov, Jonathan Tompson, Rob Fergus, Ofir Nachum:
Offline Reinforcement Learning with Fisher Divergence Critic Regularization. CoRR abs/2103.08050 (2021) - [i24]Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman:
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations. CoRR abs/2104.14548 (2021) - [i23]Kevin Zakka, Andy Zeng, Pete Florence, Jonathan Tompson, Jeannette Bohg, Debidatta Dwibedi:
XIRL: Cross-embodiment Inverse Reinforcement Learning. CoRR abs/2106.03911 (2021) - [i22]Pete Florence, Corey Lynch, Andy Zeng, Oscar Ramirez, Ayzaan Wahid, Laura Downs, Adrian Wong, Johnny Lee, Igor Mordatch, Jonathan Tompson:
Implicit Behavioral Cloning. CoRR abs/2109.00137 (2021) - [i21]Bogdan Mazoure, Ilya Kostrikov, Ofir Nachum, Jonathan Tompson:
Improving Zero-shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions. CoRR abs/2111.14629 (2021) - 2020
- [c21]Andy Zeng, Pete Florence, Jonathan Tompson, Stefan Welker, Jonathan Chien, Maria Attarian, Travis Armstrong, Ivan Krasin, Dan Duong, Vikas Sindhwani, Johnny Lee:
Transporter Networks: Rearranging the Visual World for Robotic Manipulation. CoRL 2020: 726-747 - [c20]Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman:
Counting Out Time: Class Agnostic Video Repetition Counting in the Wild. CVPR 2020: 10384-10393 - [c19]Ilya Kostrikov, Ofir Nachum, Jonathan Tompson:
Imitation Learning via Off-Policy Distribution Matching. ICLR 2020 - [i20]Ross Goroshin, Jonathan Tompson, Debidatta Dwibedi:
An Analysis of Object Representations in Deep Visual Trackers. CoRR abs/2001.02593 (2020) - [i19]Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman:
Counting Out Time: Class Agnostic Video Repetition Counting in the Wild. CoRR abs/2006.15418 (2020) - [i18]Yiren Lu, Jonathan Tompson:
ADAIL: Adaptive Adversarial Imitation Learning. CoRR abs/2008.12647 (2020) - [i17]Andy Zeng, Pete Florence, Jonathan Tompson, Stefan Welker, Jonathan Chien, Maria Attarian, Travis Armstrong, Ivan Krasin, Dan Duong, Vikas Sindhwani, Johnny Lee:
Transporter Networks: Rearranging the Visual World for Robotic Manipulation. CoRR abs/2010.14406 (2020) - [i16]Daniel Seita, Pete Florence, Jonathan Tompson, Erwin Coumans, Vikas Sindhwani, Ken Goldberg, Andy Zeng:
Learning to Rearrange Deformable Cables, Fabrics, and Bags with Goal-Conditioned Transporter Networks. CoRR abs/2012.03385 (2020)
2010 – 2019
- 2019
- [c18]Corey Lynch, Mohi Khansari, Ted Xiao, Vikash Kumar, Jonathan Tompson, Sergey Levine, Pierre Sermanet:
Learning Latent Plans from Play. CoRL 2019: 1113-1132 - [c17]Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman:
Temporal Cycle-Consistency Learning. CVPR 2019: 1801-1810 - [c16]Ilya Kostrikov, Kumar Krishna Agrawal, Debidatta Dwibedi, Sergey Levine, Jonathan Tompson:
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning. ICLR (Poster) 2019 - [i15]Corey Lynch, Mohi Khansari, Ted Xiao, Vikash Kumar, Jonathan Tompson, Sergey Levine, Pierre Sermanet:
Learning Latent Plans from Play. CoRR abs/1903.01973 (2019) - [i14]Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman:
Temporal Cycle-Consistency Learning. CoRR abs/1904.07846 (2019) - [i13]Kristofer Schlachter, Connor DeFanti, Sebastian Herscher, Ken Perlin, Jonathan Tompson:
Beyond Photo Realism for Domain Adaptation from Synthetic Data. CoRR abs/1909.01960 (2019) - [i12]Ilya Kostrikov, Ofir Nachum, Jonathan Tompson:
Imitation Learning via Off-Policy Distribution Matching. CoRR abs/1912.05032 (2019) - 2018
- [c15]Debidatta Dwibedi, Pierre Sermanet, Jonathan Tompson:
Temporal Reasoning in Videos Using Convolutional Gated Recurrent Units. CVPR Workshops 2018: 1111-1116 - [c14]George Papandreou, Tyler Zhu, Liang-Chieh Chen, Spyros Gidaris, Jonathan Tompson, Kevin Murphy:
PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model. ECCV (14) 2018: 282-299 - [c13]Debidatta Dwibedi, Jonathan Tompson, Corey Lynch, Pierre Sermanet:
Learning Actionable Representations from Visual Observations. IROS 2018: 1577-1584 - [c12]Supasorn Suwajanakorn, Noah Snavely, Jonathan Tompson, Mohammad Norouzi:
Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning. NeurIPS 2018: 2063-2074 - [i11]George Papandreou, Tyler Zhu, Liang-Chieh Chen, Spyros Gidaris, Jonathan Tompson, Kevin Murphy:
PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model. CoRR abs/1803.08225 (2018) - [i10]Supasorn Suwajanakorn, Noah Snavely, Jonathan Tompson, Mohammad Norouzi:
Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning. CoRR abs/1807.03146 (2018) - [i9]Debidatta Dwibedi, Jonathan Tompson, Corey Lynch, Pierre Sermanet:
Learning Actionable Representations from Visual Observations. CoRR abs/1808.00928 (2018) - [i8]Ilya Kostrikov, Kumar Krishna Agrawal, Sergey Levine, Jonathan Tompson:
Addressing Sample Inefficiency and Reward Bias in Inverse Reinforcement Learning. CoRR abs/1809.02925 (2018) - 2017
- [j2]Ahmed Elhayek, Edilson de Aguiar, Arjun Jain, Jonathan Tompson, Leonid Pishchulin, Mykhaylo Andriluka, Christoph Bregler, Bernt Schiele, Christian Theobalt:
MARCOnI - ConvNet-Based MARker-Less Motion Capture in Outdoor and Indoor Scenes. IEEE Trans. Pattern Anal. Mach. Intell. 39(3): 501-514 (2017) - [c11]Connor Schenck, Jonathan Tompson, Sergey Levine, Dieter Fox:
Learning Robotic Manipulation of Granular Media. CoRL 2017: 239-248 - [c10]George Papandreou, Tyler Zhu, Nori Kanazawa, Alexander Toshev, Jonathan Tompson, Chris Bregler, Kevin Murphy:
Towards Accurate Multi-person Pose Estimation in the Wild. CVPR 2017: 3711-3719 - [c9]Jonathan Tompson, Kristofer Schlachter, Pablo Sprechmann, Ken Perlin:
Accelerating Eulerian Fluid Simulation With Convolutional Networks. ICLR (Workshop) 2017 - [c8]Jonathan Tompson, Kristofer Schlachter, Pablo Sprechmann, Ken Perlin:
Accelerating Eulerian Fluid Simulation With Convolutional Networks. ICML 2017: 3424-3433 - [i7]George Papandreou, Tyler Zhu, Nori Kanazawa, Alexander Toshev, Jonathan Tompson, Chris Bregler, Kevin P. Murphy:
Towards Accurate Multi-person Pose Estimation in the Wild. CoRR abs/1701.01779 (2017) - [i6]Connor Schenck, Jonathan Tompson, Dieter Fox, Sergey Levine:
Learning Robotic Manipulation of Granular Media. CoRR abs/1709.02833 (2017) - 2016
- [i5]Jonathan Tompson, Kristofer Schlachter, Pablo Sprechmann, Ken Perlin:
Accelerating Eulerian Fluid Simulation With Convolutional Networks. CoRR abs/1607.03597 (2016) - 2015
- [b1]Jonathan Tompson:
Localization of Humans in Images Using Convolutional Networks. New York University, USA, 2015 - [c7]Jonathan Tompson, Ross Goroshin, Arjun Jain, Yann LeCun, Christoph Bregler:
Efficient object localization using Convolutional Networks. CVPR 2015: 648-656 - [c6]Ahmed Elhayek, Edilson de Aguiar, Arjun Jain, Jonathan Tompson, Leonid Pishchulin, Mykhaylo Andriluka, Christoph Bregler, Bernt Schiele, Christian Theobalt:
Efficient ConvNet-based marker-less motion capture in general scenes with a low number of cameras. CVPR 2015: 3810-3818 - [c5]Ross Goroshin, Joan Bruna, Jonathan Tompson, David Eigen, Yann LeCun:
Unsupervised Learning of Spatiotemporally Coherent Metrics. ICCV 2015: 4086-4093 - [c4]Ross Goroshin, Joan Bruna, Jonathan Tompson, David Eigen, Yann LeCun:
Unsupervised Feature Learning from Temporal Data. ICLR (Workshop) 2015 - 2014
- [j1]Jonathan Tompson, Murphy Stein, Yann LeCun, Ken Perlin:
Real-Time Continuous Pose Recovery of Human Hands Using Convolutional Networks. ACM Trans. Graph. 33(5): 169:1-169:10 (2014) - [c3]Arjun Jain, Jonathan Tompson, Yann LeCun, Christoph Bregler:
MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation. ACCV (2) 2014: 302-315 - [c2]Jonathan Tompson, Arjun Jain, Yann LeCun, Christoph Bregler:
Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation. NIPS 2014: 1799-1807 - [c1]Arjun Jain, Jonathan Tompson, Mykhaylo Andriluka, Graham W. Taylor, Christoph Bregler:
Learning Human Pose Estimation Features with Convolutional Networks. ICLR (Poster) 2014 - [i4]Jonathan Tompson, Arjun Jain, Yann LeCun, Christoph Bregler:
Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation. CoRR abs/1406.2984 (2014) - [i3]Arjun Jain, Jonathan Tompson, Yann LeCun, Christoph Bregler:
MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation. CoRR abs/1409.7963 (2014) - [i2]Jonathan Tompson, Ross Goroshin, Arjun Jain, Yann LeCun, Christoph Bregler:
Efficient Object Localization Using Convolutional Networks. CoRR abs/1411.4280 (2014) - [i1]Ross Goroshin, Joan Bruna, Jonathan Tompson, David Eigen, Yann LeCun:
Unsupervised Learning of Spatiotemporally Coherent Metrics. CoRR abs/1412.6056 (2014)
Coauthor Index
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