Jonathan Tompson

发表

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

Ilya Kostrikov, Kumar Krishna Agrawal, Sergey Levine, 2018, ICLR.

Learning Actionable Representations from Visual Observations

Jonathan Tompson, Pierre Sermanet, Corey Lynch, 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

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

Jonathan Tompson, George Papandreou, Kevin Murphy, 2018, ECCV.

Towards Accurate Multi-person Pose Estimation in the Wild

Jonathan Tompson, George Papandreou, Kevin Murphy, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Learning Latent Plans from Play

Sergey Levine, Jonathan Tompson, Vikash Kumar, 2019, CoRL.

Learning Human Pose Estimation Features with Convolutional Networks pdf

Jonathan Tompson, Christoph Bregler, Graham W. Taylor, 2013, ICLR.

Efficient ConvNet-based marker-less motion capture in general scenes with a low number of cameras

Jonathan Tompson, Bernt Schiele, Edilson de Aguiar, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Efficient object localization using Convolutional Networks

Jonathan Tompson, Yann LeCun, Ross Goroshin, 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Temporal Reasoning in Videos Using Convolutional Gated Recurrent Units

Jonathan Tompson, Pierre Sermanet, Debidatta Dwibedi, 2018, CVPR Workshops.

Unsupervised Learning of Spatiotemporally Coherent Metrics

Jonathan Tompson, Joan Bruna, Yann LeCun, 2014, 2015 IEEE International Conference on Computer Vision (ICCV).

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

Jonathan Tompson, Daniel Seita, Ken Goldberg, 2020, ArXiv.

Counting Out Time: Class Agnostic Video Periodicity in the Wild

Jonathan Tompson, Andrew Zisserman, Pierre Sermanet, 2020 .

Self-supervised Representation Learning for Continuous Control

Jonathan Tompson, Pierre Sermanet, Corey Lynch, 2018 .

Temporal Cycle-Consistency Learning

Jonathan Tompson, Andrew Zisserman, Pierre Sermanet, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

ADAIL: Adaptive Adversarial Imitation Learning pdf

Jonathan Tompson, Yiren Lu, 2020, ArXiv.

Accelerating Eulerian Fluid Simulation With Convolutional Networks pdf

Ken Perlin, Jonathan Tompson, Pablo Sprechmann, 2016, ICML.

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

Jonathan Tompson, Yann LeCun, Christoph Bregler, 2014, NIPS.

Imitation Learning via Off-Policy Distribution Matching pdf

Ilya Kostrikov, Jonathan Tompson, Ofir Nachum, 2019, ICLR.

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

Jonathan Tompson, Yann LeCun, Christoph Bregler, 2014, ACCV.

Learning Robotic Manipulation of Granular Media

Sergey Levine, Jonathan Tompson, Connor Schenck, 2017, CoRL.

Beyond Photo Realism for Domain Adaptation from Synthetic Data pdf

Jonathan Tompson, Ken Perlin, Connor DeFanti, 2019, ArXiv.

Unsupervised Feature Learning from Temporal Data pdf

Jonathan Tompson, Joan Bruna, Yann LeCun, 2015, ICLR.

An Analysis of Object Representations in Deep Visual Trackers pdf

Jonathan Tompson, Debidatta Dwibedi, Ross Goroshin, 2020, ArXiv.

Real-Time Continuous Pose Recovery of Human Hands Using Convolutional Networks

Ken Perlin, Jonathan Tompson, Yann LeCun, 2014, ACM Trans. Graph..

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

Jonathan Tompson, Andrew Zisserman, Pierre Sermanet, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Transporter Networks: Rearranging the Visual World for Robotic Manipulation pdf

Jonathan Tompson, Ivan Krasin, Vikas Sindhwani, 2020, ArXiv.

Inducing Stronger Object Representations in Deep Visual Trackers

Jonathan Tompson, Debidatta Dwibedi, Ross Goroshin, 2019 .

Adaptive Adversarial Imitation Learning

Jonathan Tompson, Sergey Levine, Yiren Lu, 2019 .

Learning to Manipulate Granular Media with a Robot

Sergey Levine, Jonathan Tompson, Connor Schenck, 2017 .

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

Jonathan Tompson, Mohammad Norouzi, Noah Snavely, 2018, NeurIPS.

XIRL: Cross-embodiment Inverse Reinforcement Learning

Jonathan Tompson, Jeannette Bohg, Andy Zeng, 2021, CoRL.

Offline Reinforcement Learning with Fisher Divergence Critic Regularization

Ilya Kostrikov, Jonathan Tompson, Rob Fergus, 2021, ICML.

Improving Zero-shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions

Jonathan Tompson, Ofir Nachum, Bogdan Mazoure, 2021, NeurIPS.

With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations pdf

Jonathan Tompson, Pierre Sermanet, Debidatta Dwibedi, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Implicit Behavioral Cloning

Jonathan Tompson, Igor Mordatch, Andy Zeng, 2021, CoRL.