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ORCIDJonathan Tompson
Person information
- affiliation: Google Brain, Mountain View, CA, USA
- affiliation: New York University, Courant Institute of Mathematical Sciences, NY, USA
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2020 – today
- 2023
[i32]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)- [i31]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) - 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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last updated on 2023-05-12 21:00 CEST by the dblp team
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