Jonathan Tompson

91 papers A* 20A 1Misc 9Journal 48Unranked 12
YearRankTypeTitle / Venue / Authors
2025 A* conf
Learning the RoPEs: Better 2D and 3D Position Encodings with STRING.
ICML
Connor Schenck, Isaac Reid, Mithun George Jacob, Alex Bewley, Joshua Ainslie, David Rendleman, Deepali Jain, Mohit Sharma, Kumar Avinava Dubey, Ayzaan Wahid, Sumeet Singh, René Wagner, Tianli Ding, Chuyuan Fu, Arunkumar Byravan, Jake Varley, Alexey A. Gritsenko, Matthias Minderer, Dmitry Kalashnikov, Jonathan Tompson, Vikas Sindhwani, Krzysztof Marcin Choromanski
2025 J jnl
Learning the RoPEs: Better 2D and 3D Position Encodings with STRING.
CoRR
Connor Schenck, Isaac Reid, Mithun George Jacob, Alex Bewley, Joshua Ainslie, David Rendleman, Deepali Jain, Mohit Sharma, Avinava Dubey, Ayzaan Wahid, Sumeet Singh, René Wagner, Tianli Ding, Chuyuan Fu, Arunkumar Byravan, Jake Varley, Alexey A. Gritsenko, Matthias Minderer, Dmitry Kalashnikov, Jonathan Tompson, Vikas Sindhwani, Krzysztof Choromanski
2025 J jnl
Robot Data Curation with Mutual Information Estimators.
CoRR
Joey Hejna, Suvir Mirchandani, Ashwin Balakrishna, Annie Xie, Ayzaan Wahid, Jonathan Tompson, Pannag Sanketi, Dhruv Shah, Coline Devin, Dorsa Sadigh
2025 J jnl
Self-Improving Embodied Foundation Models.
CoRR
Seyed Kamyar Seyed Ghasemipour, Ayzaan Wahid, Jonathan Tompson, Pannag Sanketi, Igor Mordatch
2024 J jnl
A Short Note on Evaluating RepNet for Temporal Repetition Counting in Videos.
CoRR
Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman
2024 J jnl
ALOHA 2: An Enhanced Low-Cost Hardware for Bimanual Teleoperation.
CoRR
ALOHA 2 Team, Jorge Aldaco, Travis Armstrong, Robert Baruch, Jeffrey T. 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
2024 Misc conf
ALOHA Unleashed: A Simple Recipe for Robot Dexterity.
CoRL
Tony Z. Zhao, Jonathan Tompson, Danny Driess, Pete Florence, Seyed Kamyar Seyed Ghasemipour, Chelsea Finn, Ayzaan Wahid
2024 J jnl
ALOHA Unleashed: A Simple Recipe for Robot Dexterity.
CoRR
Tony Z. Zhao, Jonathan Tompson, Danny Driess, Pete Florence, Kamyar Ghasemipour, Chelsea Finn, Ayzaan Wahid
2024 A* conf
FlexCap: Describe Anything in Images in Controllable Detail.
NeurIPS
Debidatta Dwibedi, Vidhi Jain, Jonathan Tompson, Andrew Zisserman, Yusuf Aytar
2024 J jnl
FlexCap: Generating Rich, Localized, and Flexible Captions in Images.
CoRR
Debidatta Dwibedi, Vidhi Jain, Jonathan Tompson, Andrew Zisserman, Yusuf Aytar
2024 A* conf
Learning Interactive Real-World Simulators.
ICLR
Sherry Yang, Yilun Du, Seyed Kamyar Seyed Ghasemipour, Jonathan Tompson, Leslie Pack Kaelbling, Dale Schuurmans, Pieter Abbeel
2024 — conf
Learning to Learn Faster from Human Feedback with Language Model Predictive Control.
Robotics: Science and Systems
Jacky Liang, Fei Xia, Wenhao Yu, Andy Zeng, Maria Attarian, Maria Bauzá Villalonga, Matthew Bennice, Alex Bewley, Adil Dostmohamed, Chuyuan 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, Kenneth 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
2024 J jnl
Learning to Learn Faster from Human Feedback with Language Model Predictive Control.
CoRR
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
2024 J jnl
OVR: A Dataset for Open Vocabulary Temporal Repetition Counting in Videos.
CoRR
Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Andrew Zisserman
2024 A* conf
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.
ICRA
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 E. 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 T. 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-Gomez, 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
2024 J jnl
RT-H: Action Hierarchies Using Language.
CoRR
Suneel Belkhale, Tianli Ding, Ted Xiao, Pierre Sermanet, Quon Vuong, Jonathan Tompson, Yevgen Chebotar, Debidatta Dwibedi, Dorsa Sadigh
2024 — conf
RT-H: Action Hierarchies using Language.
Robotics: Science and Systems
Suneel Belkhale, Tianli Ding, Ted Xiao, Pierre Sermanet, Quan Vuong, Jonathan Tompson, Yevgen Chebotar, Debidatta Dwibedi, Dorsa Sadigh
2024 A* conf
Video Language Planning.
ICLR
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
2024 J jnl
Vision Language Models are In-Context Value Learners.
CoRR
Yecheng Jason Ma, Joey Hejna, Ayzaan Wahid, Chuyuan Fu, Dhruv Shah, Jacky Liang, Zhuo Xu, Sean Kirmani, Peng Xu, Danny Driess, Ted Xiao, Jonathan Tompson, Osbert Bastani, Dinesh Jayaraman, Wenhao Yu, Tingnan Zhang, Dorsa Sadigh, Fei Xia
2023 Misc conf
Contrastive Value Learning: Implicit Models for Simple Offline RL.
CoRL
Bogdan Mazoure, Benjamin Eysenbach, Ofir Nachum, Jonathan Tompson
2023 Misc conf
Geometry Matching for Multi-Embodiment Grasping.
CoRL
Maria Attarian, Muhammad Adil Asif, Jingzhou Liu, Ruthrash Hari, Animesh Garg, Igor Gilitschenski, Jonathan Tompson
2023 J jnl
Geometry Matching for Multi-Embodiment Grasping.
CoRR
Maria Attarian, Muhammad Adil Asif, Jingzhou Liu, Ruthrash Hari, Animesh Garg, Igor Gilitschenski, Jonathan Tompson
2023 J jnl
Learning Interactive Real-World Simulators.
CoRR
Mengjiao Yang, Yilun Du, Kamyar Ghasemipour, Jonathan Tompson, Dale Schuurmans, Pieter Abbeel
2023 A* conf
PaLM-E: An Embodied Multimodal Language Model.
ICML
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
2023 J jnl
PaLM-E: An Embodied Multimodal Language Model.
CoRR
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
2023 — conf
Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models.
Robotics: Science and Systems
Ted Xiao, Harris Chan, Pierre Sermanet, Ayzaan Wahid, Anthony Brohan, Karol Hausman, Sergey Levine, Jonathan Tompson
2023 — conf
Scaling Robot Learning with Semantically Imagined Experience.
Robotics: Science and Systems
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
2023 J jnl
Scaling Robot Learning with Semantically Imagined Experience.
CoRR
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
2023 J jnl
Video Language Planning.
CoRR
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
2023 A* conf
Visuomotor Control in Multi-Object Scenes Using Object-Aware Representations.
ICRA
Negin Heravi, Ayzaan Wahid, Corey Lynch, Pete Florence, Travis Armstrong, Jonathan Tompson, Pierre Sermanet, Jeannette Bohg, Debidatta Dwibedi
2022 J jnl
Contrastive Value Learning: Implicit Models for Simple Offline RL.
CoRR
Bogdan Mazoure, Benjamin Eysenbach, Ofir Nachum, Jonathan Tompson
2022 A* conf
Improving Zero-Shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions.
NeurIPS
Bogdan Mazoure, Ilya Kostrikov, Ofir Nachum, Jonathan Tompson
2022 Misc conf
Inner Monologue: Embodied Reasoning through Planning with Language Models.
CoRL
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
2022 J jnl
Inner Monologue: Embodied Reasoning through Planning with Language Models.
CoRR
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
2022 J jnl
Interactive Language: Talking to Robots in Real Time.
CoRR
Corey Lynch, Ayzaan Wahid, Jonathan Tompson, Tianli Ding, James Betker, Robert Baruch, Travis Armstrong, Pete Florence
2022 J jnl
Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models.
CoRR
Ted Xiao, Harris Chan, Pierre Sermanet, Ayzaan Wahid, Anthony Brohan, Karol Hausman, Sergey Levine, Jonathan Tompson
2022 J jnl
Visuomotor Control in Multi-Object Scenes Using Object-Aware Representations.
CoRR
Negin Heravi, Ayzaan Wahid, Corey Lynch, Pete Florence, Travis Armstrong, Jonathan Tompson, Pierre Sermanet, Jeannette Bohg, Debidatta Dwibedi
2021 Misc conf
Implicit Behavioral Cloning.
CoRL
Pete Florence, Corey Lynch, Andy Zeng, Oscar A. Ramirez, Ayzaan Wahid, Laura Downs, Adrian Wong, Johnny Lee, Igor Mordatch, Jonathan Tompson
2021 J jnl
Implicit Behavioral Cloning.
CoRR
Pete Florence, Corey Lynch, Andy Zeng, Oscar Ramirez, Ayzaan Wahid, Laura Downs, Adrian Wong, Johnny Lee, Igor Mordatch, Jonathan Tompson
2021 J jnl
Improving Zero-shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions.
CoRR
Bogdan Mazoure, Ilya Kostrikov, Ofir Nachum, Jonathan Tompson
2021 A* conf
Learning to Rearrange Deformable Cables, Fabrics, and Bags with Goal-Conditioned Transporter Networks.
ICRA
Daniel Seita, Pete Florence, Jonathan Tompson, Erwin Coumans, Vikas Sindhwani, Ken Goldberg, Andy Zeng
2021 A* conf
Offline Reinforcement Learning with Fisher Divergence Critic Regularization.
ICML
Ilya Kostrikov, Rob Fergus, Jonathan Tompson, Ofir Nachum
2021 J jnl
Offline Reinforcement Learning with Fisher Divergence Critic Regularization.
CoRR
Ilya Kostrikov, Jonathan Tompson, Rob Fergus, Ofir Nachum
2021 A* conf
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations.
ICCV
Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman
2021 J jnl
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations.
CoRR
Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman
2021 Misc conf
XIRL: Cross-embodiment Inverse Reinforcement Learning.
CoRL
Kevin Zakka, Andy Zeng, Pete Florence, Jonathan Tompson, Jeannette Bohg, Debidatta Dwibedi
2021 J jnl
XIRL: Cross-embodiment Inverse Reinforcement Learning.
CoRR
Kevin Zakka, Andy Zeng, Pete Florence, Jonathan Tompson, Jeannette Bohg, Debidatta Dwibedi
2020 J jnl
ADAIL: Adaptive Adversarial Imitation Learning.
CoRR
Yiren Lu, Jonathan Tompson
2020 J jnl
An Analysis of Object Representations in Deep Visual Trackers.
CoRR
Ross Goroshin, Jonathan Tompson, Debidatta Dwibedi
2020 A* conf
Counting Out Time: Class Agnostic Video Repetition Counting in the Wild.
CVPR
Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman
2020 J jnl
Counting Out Time: Class Agnostic Video Repetition Counting in the Wild.
CoRR
Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman
2020 A* conf
Imitation Learning via Off-Policy Distribution Matching.
ICLR
Ilya Kostrikov, Ofir Nachum, Jonathan Tompson
2020 J jnl
Learning to Rearrange Deformable Cables, Fabrics, and Bags with Goal-Conditioned Transporter Networks.
CoRR
Daniel Seita, Pete Florence, Jonathan Tompson, Erwin Coumans, Vikas Sindhwani, Ken Goldberg, Andy Zeng
2020 Misc conf
Transporter Networks: Rearranging the Visual World for Robotic Manipulation.
CoRL
Andy Zeng, Pete Florence, Jonathan Tompson, Stefan Welker, Jonathan Chien, Maria Attarian, Travis Armstrong, Ivan Krasin, Dan Duong, Vikas Sindhwani, Johnny Lee
2020 J jnl
Transporter Networks: Rearranging the Visual World for Robotic Manipulation.
CoRR
Andy Zeng, Pete Florence, Jonathan Tompson, Stefan Welker, Jonathan Chien, Maria Attarian, Travis Armstrong, Ivan Krasin, Dan Duong, Vikas Sindhwani, Johnny Lee
2019 J jnl
Beyond Photo Realism for Domain Adaptation from Synthetic Data.
CoRR
Kristofer Schlachter, Connor DeFanti, Sebastian Herscher, Ken Perlin, Jonathan Tompson
2019 — conf
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning.
ICLR (Poster)
Ilya Kostrikov, Kumar Krishna Agrawal, Debidatta Dwibedi, Sergey Levine, Jonathan Tompson
2019 J jnl
Imitation Learning via Off-Policy Distribution Matching.
CoRR
Ilya Kostrikov, Ofir Nachum, Jonathan Tompson
2019 Misc conf
Learning Latent Plans from Play.
CoRL
Corey Lynch, Mohi Khansari, Ted Xiao, Vikash Kumar, Jonathan Tompson, Sergey Levine, Pierre Sermanet
2019 J jnl
Learning Latent Plans from Play.
CoRR
Corey Lynch, Mohi Khansari, Ted Xiao, Vikash Kumar, Jonathan Tompson, Sergey Levine, Pierre Sermanet
2019 A* conf
Temporal Cycle-Consistency Learning.
CVPR
Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman
2019 J jnl
Temporal Cycle-Consistency Learning.
CoRR
Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman
2018 J jnl
Addressing Sample Inefficiency and Reward Bias in Inverse Reinforcement Learning.
CoRR
Ilya Kostrikov, Kumar Krishna Agrawal, Sergey Levine, Jonathan Tompson
2018 A* conf
Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning.
NeurIPS
Supasorn Suwajanakorn, Noah Snavely, Jonathan Tompson, Mohammad Norouzi
2018 J jnl
Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning.
CoRR
Supasorn Suwajanakorn, Noah Snavely, Jonathan Tompson, Mohammad Norouzi
2018 A conf
Learning Actionable Representations from Visual Observations.
IROS
Debidatta Dwibedi, Jonathan Tompson, Corey Lynch, Pierre Sermanet
2018 J jnl
Learning Actionable Representations from Visual Observations.
CoRR
Debidatta Dwibedi, Jonathan Tompson, Corey Lynch, Pierre Sermanet
2018 — conf
PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model.
ECCV (14)
George Papandreou, Tyler Zhu, Liang-Chieh Chen, Spyros Gidaris, Jonathan Tompson, Kevin Murphy
2018 J jnl
PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model.
CoRR
George Papandreou, Tyler Zhu, Liang-Chieh Chen, Spyros Gidaris, Jonathan Tompson, Kevin Murphy
2018 — conf
Temporal Reasoning in Videos Using Convolutional Gated Recurrent Units.
CVPR Workshops
Debidatta Dwibedi, Pierre Sermanet, Jonathan Tompson
2017 — conf
Accelerating Eulerian Fluid Simulation With Convolutional Networks.
ICLR (Workshop)
Jonathan Tompson, Kristofer Schlachter, Pablo Sprechmann, Ken Perlin
2017 A* conf
Accelerating Eulerian Fluid Simulation With Convolutional Networks.
ICML
Jonathan Tompson, Kristofer Schlachter, Pablo Sprechmann, Ken Perlin
2017 Misc conf
Learning Robotic Manipulation of Granular Media.
CoRL
Connor Schenck, Jonathan Tompson, Sergey Levine, Dieter Fox
2017 J jnl
Learning Robotic Manipulation of Granular Media.
CoRR
Connor Schenck, Jonathan Tompson, Dieter Fox, Sergey Levine
2017 J jnl
MARCOnI - ConvNet-Based MARker-Less Motion Capture in Outdoor and Indoor Scenes.
IEEE Trans. Pattern Anal. Mach. Intell.
Ahmed Elhayek, Edilson de Aguiar, Arjun Jain, Jonathan Tompson, Leonid Pishchulin, Mykhaylo Andriluka, Christoph Bregler, Bernt Schiele, Christian Theobalt
2017 A* conf
Towards Accurate Multi-person Pose Estimation in the Wild.
CVPR
George Papandreou, Tyler Zhu, Nori Kanazawa, Alexander Toshev, Jonathan Tompson, Chris Bregler, Kevin Murphy
2017 J jnl
Towards Accurate Multi-person Pose Estimation in the Wild.
CoRR
George Papandreou, Tyler Zhu, Nori Kanazawa, Alexander Toshev, Jonathan Tompson, Chris Bregler, Kevin P. Murphy
2016 J jnl
Accelerating Eulerian Fluid Simulation With Convolutional Networks.
CoRR
Jonathan Tompson, Kristofer Schlachter, Pablo Sprechmann, Ken Perlin
2015 A* conf
Efficient ConvNet-based marker-less motion capture in general scenes with a low number of cameras.
CVPR
Ahmed Elhayek, Edilson de Aguiar, Arjun Jain, Jonathan Tompson, Leonid Pishchulin, Mykhaylo Andriluka, Christoph Bregler, Bernt Schiele, Christian Theobalt
2015 A* conf
Efficient object localization using Convolutional Networks.
CVPR
Jonathan Tompson, Ross Goroshin, Arjun Jain, Yann LeCun, Christoph Bregler
2015 — —
Localization of Humans in Images Using Convolutional Networks.
Jonathan Tompson
2015 — conf
Unsupervised Feature Learning from Temporal Data.
ICLR (Workshop)
Ross Goroshin, Joan Bruna, Jonathan Tompson, David Eigen, Yann LeCun
2015 A* conf
Unsupervised Learning of Spatiotemporally Coherent Metrics.
ICCV
Ross Goroshin, Joan Bruna, Jonathan Tompson, David Eigen, Yann LeCun
2014 J jnl
Efficient Object Localization Using Convolutional Networks.
CoRR
Jonathan Tompson, Ross Goroshin, Arjun Jain, Yann LeCun, Christoph Bregler
2014 — conf
Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation.
NIPS
Jonathan Tompson, Arjun Jain, Yann LeCun, Christoph Bregler
2014 J jnl
Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation.
CoRR
Jonathan Tompson, Arjun Jain, Yann LeCun, Christoph Bregler
2014 — conf
Learning Human Pose Estimation Features with Convolutional Networks.
ICLR (Poster)
Arjun Jain, Jonathan Tompson, Mykhaylo Andriluka, Graham W. Taylor, Christoph Bregler
2014 — conf
MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation.
ACCV (2)
Arjun Jain, Jonathan Tompson, Yann LeCun, Christoph Bregler
2014 J jnl
MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation.
CoRR
Arjun Jain, Jonathan Tompson, Yann LeCun, Christoph Bregler
2014 J jnl
Real-Time Continuous Pose Recovery of Human Hands Using Convolutional Networks.
ACM Trans. Graph.
Jonathan Tompson, Murphy Stein, Yann LeCun, Ken Perlin
2014 J jnl
Unsupervised Learning of Spatiotemporally Coherent Metrics.
CoRR
Ross Goroshin, Joan Bruna, Jonathan Tompson, David Eigen, Yann LeCun