Jonathan Tompson

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 67

Top Topics

Pose Estimation

Visual Representations

Top Venues

Publications

Debidatta Dwibedi, Vidhi Jain, Jonathan Tompson, Andrew Zisserman, Yusuf Aytar
FlexCap: Generating Rich, Localized, and Flexible Captions in Images. CoRR (2024)
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)
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 (2024)
Sherry Yang, Yilun Du, Seyed Kamyar Seyed Ghasemipour, Jonathan Tompson, Leslie Pack Kaelbling, Dale Schuurmans, Pieter Abbeel
Learning Interactive Real-World Simulators. ICLR (2024)
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 (2024)
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 (2024)
Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Andrew Zisserman
OVR: A Dataset for Open Vocabulary Temporal Repetition Counting in Videos. CoRR (2024)
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)
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 (2023)
Maria Attarian, Muhammad Adil Asif, Jingzhou Liu, Ruthrash Hari, Animesh Garg, Igor Gilitschenski, Jonathan Tompson
Geometry Matching for Multi-Embodiment Grasping. CoRL (2023)
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)
Mengjiao Yang, Yilun Du, Kamyar Ghasemipour, Jonathan Tompson, Dale Schuurmans, Pieter Abbeel
Learning Interactive Real-World Simulators. CoRR (2023)
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)
Bogdan Mazoure, Benjamin Eysenbach, Ofir Nachum, Jonathan Tompson
Contrastive Value Learning: Implicit Models for Simple Offline RL. CoRL (2023)
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)
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 (2023)
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 (2023)
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)
Maria Attarian, Muhammad Adil Asif, Jingzhou Liu, Ruthrash Hari, Animesh Garg, Igor Gilitschenski, Jonathan Tompson
Geometry Matching for Multi-Embodiment Grasping. CoRR (2023)
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 (2022)
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 (2022)
Bogdan Mazoure, Benjamin Eysenbach, Ofir Nachum, Jonathan Tompson
Contrastive Value Learning: Implicit Models for Simple Offline RL. CoRR (2022)
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 (2022)
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)
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 (2022)
Bogdan Mazoure, Ilya Kostrikov, Ofir Nachum, Jonathan Tompson
Improving Zero-Shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions. NeurIPS (2022)
Ilya Kostrikov, Rob Fergus, Jonathan Tompson, Ofir Nachum
Offline Reinforcement Learning with Fisher Divergence Critic Regularization. ICML (2021)
Pete Florence, Corey Lynch, Andy Zeng, Oscar Ramirez, Ayzaan Wahid, Laura Downs, Adrian Wong, Johnny Lee, Igor Mordatch, Jonathan Tompson
Implicit Behavioral Cloning. CoRR (2021)
Bogdan Mazoure, Ilya Kostrikov, Ofir Nachum, Jonathan Tompson
Improving Zero-shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions. CoRR (2021)
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)
Ilya Kostrikov, Jonathan Tompson, Rob Fergus, Ofir Nachum
Offline Reinforcement Learning with Fisher Divergence Critic Regularization. CoRR (2021)
Kevin Zakka, Andy Zeng, Pete Florence, Jonathan Tompson, Jeannette Bohg, Debidatta Dwibedi
XIRL: Cross-embodiment Inverse Reinforcement Learning. CoRR (2021)
Kevin Zakka, Andy Zeng, Pete Florence, Jonathan Tompson, Jeannette Bohg, Debidatta Dwibedi
XIRL: Cross-embodiment Inverse Reinforcement Learning. CoRL (2021)
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)
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 (2021)
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)
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 (2020)
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 (2020)
Ross Goroshin, Jonathan Tompson, Debidatta Dwibedi
An Analysis of Object Representations in Deep Visual Trackers. CoRR (2020)
Ilya Kostrikov, Ofir Nachum, Jonathan Tompson
Imitation Learning via Off-Policy Distribution Matching. ICLR (2020)
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)
Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman
Counting Out Time: Class Agnostic Video Repetition Counting in the Wild. CVPR (2020)
Yiren Lu, Jonathan Tompson
ADAIL: Adaptive Adversarial Imitation Learning. CoRR (2020)
Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman
Counting Out Time: Class Agnostic Video Repetition Counting in the Wild. CoRR (2020)
Ilya Kostrikov, Ofir Nachum, Jonathan Tompson
Imitation Learning via Off-Policy Distribution Matching. CoRR (2019)
Kristofer Schlachter, Connor DeFanti, Sebastian Herscher, Ken Perlin, Jonathan Tompson
Beyond Photo Realism for Domain Adaptation from Synthetic Data. CoRR (2019)
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)
Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman
Temporal Cycle-Consistency Learning. CVPR (2019)
Corey Lynch, Mohi Khansari, Ted Xiao, Vikash Kumar, Jonathan Tompson, Sergey Levine, Pierre Sermanet
Learning Latent Plans from Play. CoRR (2019)
Corey Lynch, Mohi Khansari, Ted Xiao, Vikash Kumar, Jonathan Tompson, Sergey Levine, Pierre Sermanet
Learning Latent Plans from Play. CoRL (2019)
Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman
Temporal Cycle-Consistency Learning. CoRR (2019)
Ilya Kostrikov, Kumar Krishna Agrawal, Sergey Levine, Jonathan Tompson
Addressing Sample Inefficiency and Reward Bias in Inverse Reinforcement Learning. CoRR (2018)
Supasorn Suwajanakorn, Noah Snavely, Jonathan Tompson, Mohammad Norouzi
Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning. CoRR (2018)
Debidatta Dwibedi, Jonathan Tompson, Corey Lynch, Pierre Sermanet
Learning Actionable Representations from Visual Observations. CoRR (2018)
Debidatta Dwibedi, Jonathan Tompson, Corey Lynch, Pierre Sermanet
Learning Actionable Representations from Visual Observations. IROS (2018)
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 (2018)
Supasorn Suwajanakorn, Noah Snavely, Jonathan Tompson, Mohammad Norouzi
Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning. NeurIPS (2018)
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)
Debidatta Dwibedi, Pierre Sermanet, Jonathan Tompson
Temporal Reasoning in Videos Using Convolutional Gated Recurrent Units. CVPR Workshops (2018)
Connor Schenck, Jonathan Tompson, Sergey Levine, Dieter Fox
Learning Robotic Manipulation of Granular Media. CoRL (2017)
Jonathan Tompson, Kristofer Schlachter, Pablo Sprechmann, Ken Perlin
Accelerating Eulerian Fluid Simulation With Convolutional Networks. ICLR (Workshop) (2017)
Connor Schenck, Jonathan Tompson, Dieter Fox, Sergey Levine
Learning Robotic Manipulation of Granular Media. CoRR (2017)
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) (2017)
Jonathan Tompson, Kristofer Schlachter, Pablo Sprechmann, Ken Perlin
Accelerating Eulerian Fluid Simulation With Convolutional Networks. ICML (2017)
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)
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 (2017)
Jonathan Tompson, Kristofer Schlachter, Pablo Sprechmann, Ken Perlin
Accelerating Eulerian Fluid Simulation With Convolutional Networks. CoRR (2016)
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)
Ross Goroshin, Joan Bruna, Jonathan Tompson, David Eigen, Yann LeCun
Unsupervised Feature Learning from Temporal Data. ICLR (Workshop) (2015)
Jonathan Tompson, Ross Goroshin, Arjun Jain, Yann LeCun, Christoph Bregler
Efficient object localization using Convolutional Networks. CVPR (2015)
Ross Goroshin, Joan Bruna, Jonathan Tompson, David Eigen, Yann LeCun
Unsupervised Learning of Spatiotemporally Coherent Metrics. ICCV (2015)
Jonathan Tompson, Arjun Jain, Yann LeCun, Christoph Bregler
Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation. NIPS (2014)
Jonathan Tompson, Murphy Stein, Yann LeCun, Ken Perlin
Real-Time Continuous Pose Recovery of Human Hands Using Convolutional Networks. ACM Trans. Graph. 33 (5) (2014)
Arjun Jain, Jonathan Tompson, Yann LeCun, Christoph Bregler
MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation. CoRR (2014)
Arjun Jain, Jonathan Tompson, Yann LeCun, Christoph Bregler
MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation. ACCV (2) (2014)
Ross Goroshin, Joan Bruna, Jonathan Tompson, David Eigen, Yann LeCun
Unsupervised Learning of Spatiotemporally Coherent Metrics. CoRR (2014)
Arjun Jain, Jonathan Tompson, Mykhaylo Andriluka, Graham W. Taylor, Christoph Bregler
Learning Human Pose Estimation Features with Convolutional Networks. ICLR (Poster) (2014)
Jonathan Tompson, Arjun Jain, Yann LeCun, Christoph Bregler
Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation. CoRR (2014)
Jonathan Tompson, Ross Goroshin, Arjun Jain, Yann LeCun, Christoph Bregler
Efficient Object Localization Using Convolutional Networks. CoRR (2014)