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Offline Reinforcement Learning with Fisher Divergence Critic Regularization


Mar 14, 2021
Ilya Kostrikov, Jonathan Tompson, Rob Fergus, Ofir Nachum


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Learning to Rearrange Deformable Cables, Fabrics, and Bags with Goal-Conditioned Transporter Networks


Dec 18, 2020
Daniel Seita, Pete Florence, Jonathan Tompson, Erwin Coumans, Vikas Sindhwani, Ken Goldberg, Andy Zeng

* See https://berkeleyautomation.github.io/bags/ for project website and code. v2 corrects some BibTeX entries 

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Transporter Networks: Rearranging the Visual World for Robotic Manipulation


Oct 27, 2020
Andy Zeng, Pete Florence, Jonathan Tompson, Stefan Welker, Jonathan Chien, Maria Attarian, Travis Armstrong, Ivan Krasin, Dan Duong, Vikas Sindhwani, Johnny Lee

* Project webpage: https://transporternets.github.io 

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ADAIL: Adaptive Adversarial Imitation Learning


Aug 23, 2020
Yiren Lu, Jonathan Tompson


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Counting Out Time: Class Agnostic Video Repetition Counting in the Wild


Jun 27, 2020
Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman

* Accepted at CVPR 2020. Project webpage: https://sites.google.com/view/repnet 

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An Analysis of Object Representations in Deep Visual Trackers


Jan 08, 2020
Ross Goroshin, Jonathan Tompson, Debidatta Dwibedi


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Imitation Learning via Off-Policy Distribution Matching


Dec 10, 2019
Ilya Kostrikov, Ofir Nachum, Jonathan Tompson


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Beyond Photo Realism for Domain Adaptation from Synthetic Data


Sep 04, 2019
Kristofer Schlachter, Connor DeFanti, Sebastian Herscher, Ken Perlin, Jonathan Tompson

* Originally submitted for publication in November 2017 

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Temporal Cycle-Consistency Learning


Apr 16, 2019
Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman

* Accepted at CVPR 2019. Project webpage: https://sites.google.com/view/temporal-cycle-consistency 

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Learning Latent Plans from Play


Mar 05, 2019
Corey Lynch, Mohi Khansari, Ted Xiao, Vikash Kumar, Jonathan Tompson, Sergey Levine, Pierre Sermanet


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Learning Actionable Representations from Visual Observations


Feb 02, 2019
Debidatta Dwibedi, Jonathan Tompson, Corey Lynch, Pierre Sermanet

* This work is accepted in IROS 2018. Project website: https://sites.google.com/view/actionablerepresentations 

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Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning


Oct 15, 2018
Ilya Kostrikov, Kumar Krishna Agrawal, Debidatta Dwibedi, Sergey Levine, Jonathan Tompson


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Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning


Jul 05, 2018
Supasorn Suwajanakorn, Noah Snavely, Jonathan Tompson, Mohammad Norouzi


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PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model


Mar 22, 2018
George Papandreou, Tyler Zhu, Liang-Chieh Chen, Spyros Gidaris, Jonathan Tompson, Kevin Murphy

* Person detection and pose estimation, segmentation and grouping 

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Learning Robotic Manipulation of Granular Media


Oct 25, 2017
Connor Schenck, Jonathan Tompson, Dieter Fox, Sergey Levine

* Proceedings of the Conference on Robot Learning 2017 (CoRL) (to appear) 

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Accelerating Eulerian Fluid Simulation With Convolutional Networks


Jun 22, 2017
Jonathan Tompson, Kristofer Schlachter, Pablo Sprechmann, Ken Perlin

* Significant revision 

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Towards Accurate Multi-person Pose Estimation in the Wild


Apr 14, 2017
George Papandreou, Tyler Zhu, Nori Kanazawa, Alexander Toshev, Jonathan Tompson, Chris Bregler, Kevin Murphy

* Paper describing an improved version of the G-RMI entry to the 2016 COCO keypoints challenge (http://image-net.org/challenges/ilsvrc+coco2016). Camera ready version to appear in the Proceedings of CVPR 2017 

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Unsupervised Learning of Spatiotemporally Coherent Metrics


Sep 08, 2015
Ross Goroshin, Joan Bruna, Jonathan Tompson, David Eigen, Yann LeCun

* To appear at ICCV2015 

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Efficient Object Localization Using Convolutional Networks


Jun 09, 2015
Jonathan Tompson, Ross Goroshin, Arjun Jain, Yann LeCun, Christopher Bregler

* 8 pages with 1 page of citations 

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Unsupervised Feature Learning from Temporal Data


Apr 15, 2015
Ross Goroshin, Joan Bruna, Jonathan Tompson, David Eigen, Yann LeCun

* arXiv admin note: substantial text overlap with arXiv:1412.6056 

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MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation


Sep 28, 2014
Arjun Jain, Jonathan Tompson, Yann LeCun, Christoph Bregler


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Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation


Sep 17, 2014
Jonathan Tompson, Arjun Jain, Yann LeCun, Christoph Bregler


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Learning Human Pose Estimation Features with Convolutional Networks


Apr 23, 2014
Arjun Jain, Jonathan Tompson, Mykhaylo Andriluka, Graham W. Taylor, Christoph Bregler


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