Learning the RoPEs: Better 2D and 3D Position Encodings with STRING - 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; et al. (CoRR, 2025)

Robot Data Curation with Mutual Information Estimators - Joey Hejna; Suvir Mirchandani; Ashwin Balakrishna; Annie Xie; Ayzaan Wahid; Jonathan Tompson; Pannag Sanketi; Dhruv Shah; Coline Devin; Dorsa Sadigh (CoRR, 2025)

ALOHA Unleashed: A Simple Recipe for Robot Dexterity - Tony Z. Zhao; Jonathan Tompson; Danny Driess; Pete Florence; Seyed Kamyar Seyed Ghasemipour; Chelsea Finn; Ayzaan Wahid (Conference on Robot Learning, 6-9 November 2024, Munich, Germany, 2024)

Video Language Planning - 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; et al. (The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024)

Learning Interactive Real-World Simulators - Sherry Yang; Yilun Du; Seyed Kamyar Seyed Ghasemipour; Jonathan Tompson; Leslie Pack Kaelbling; Dale Schuurmans; Pieter Abbeel (The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration - 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; et al. (IEEE International Conference on Robotics and Automation, ICRA 2024, Yokohama, Japan, May 13-17, 2024, 2024)

FlexCap: Describe Anything in Images in Controllable Detail - Debidatta Dwibedi; Vidhi Jain; Jonathan Tompson; Andrew Zisserman; Yusuf Aytar (Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024)

RT-H: Action Hierarchies using Language - Suneel Belkhale; Tianli Ding; Ted Xiao; Pierre Sermanet; Quan Vuong; Jonathan Tompson; Yevgen Chebotar; Debidatta Dwibedi; Dorsa Sadigh (Robotics: Science and Systems XX, Delft, The Netherlands, July 15-19, 2024, 2024)

Learning to Learn Faster from Human Feedback with Language Model Predictive Control - 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; et al. (Robotics: Science and Systems XX, Delft, The Netherlands, July 15-19, 2024, 2024)

Learning to Learn Faster from Human Feedback with Language Model Predictive Control - 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; et al. (CoRR, 2024)

RT-H: Action Hierarchies Using Language - Suneel Belkhale; Tianli Ding; Ted Xiao; Pierre Sermanet; Quon Vuong; Jonathan Tompson; Yevgen Chebotar; Debidatta Dwibedi; Dorsa Sadigh (CoRR, 2024)

FlexCap: Generating Rich, Localized, and Flexible Captions in Images - Debidatta Dwibedi; Vidhi Jain; Jonathan Tompson; Andrew Zisserman; Yusuf Aytar (CoRR, 2024)

ALOHA 2: An Enhanced Low-Cost Hardware for Bimanual Teleoperation - ALOHA; Jorge Aldaco; Travis Armstrong; Robert Baruch; Jeff Bingham; Sanky Chan; Kenneth Draper; Debidatta Dwibedi; Chelsea Finn; Pete Florence; Spencer Goodrich; Wayne Gramlich; et al. (CoRR, 2024)

OVR: A Dataset for Open Vocabulary Temporal Repetition Counting in Videos - Debidatta Dwibedi; Yusuf Aytar; Jonathan Tompson; Andrew Zisserman (CoRR, 2024)

ALOHA Unleashed: A Simple Recipe for Robot Dexterity - Tony Z. Zhao; Jonathan Tompson; Danny Driess; Pete Florence; Kamyar Ghasemipour; Chelsea Finn; Ayzaan Wahid (CoRR, 2024)

Vision Language Models are In-Context Value Learners - 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; et al. (CoRR, 2024)

A Short Note on Evaluating RepNet for Temporal Repetition Counting in Videos - Debidatta Dwibedi; Yusuf Aytar; Jonathan Tompson; Pierre Sermanet; Andrew Zisserman (CoRR, 2024)

Geometry Matching for Multi-Embodiment Grasping - Maria Attarian; Muhammad Adil Asif; Jingzhou Liu; Ruthrash Hari; Animesh Garg; Igor Gilitschenski; Jonathan Tompson (Conference on Robot Learning, CoRL 2023, 6-9 November 2023, Atlanta, GA, USA, 2023)

Contrastive Value Learning: Implicit Models for Simple Offline RL - Bogdan Mazoure; Benjamin Eysenbach; Ofir Nachum; Jonathan Tompson (Conference on Robot Learning, CoRL 2023, 6-9 November 2023, Atlanta, GA, USA, 2023)

PaLM-E: An Embodied Multimodal Language Model - 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; et al. (International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA, 2023)

Visuomotor Control in Multi-Object Scenes Using Object-Aware Representations - Negin Heravi; Ayzaan Wahid; Corey Lynch; Pete Florence; Travis Armstrong; Jonathan Tompson; Pierre Sermanet; Jeannette Bohg; Debidatta Dwibedi (IEEE International Conference on Robotics and Automation, ICRA 2023, London, UK, May 29 - June 2, 2023, 2023)

Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models - Ted Xiao; Harris Chan; Pierre Sermanet; Ayzaan Wahid; Anthony Brohan; Karol Hausman; Sergey Levine; Jonathan Tompson (Robotics: Science and Systems XIX, Daegu, Republic of Korea, July 10-14, 2023, 2023)

Scaling Robot Learning with Semantically Imagined Experience - Tianhe Yu; Ted Xiao; Jonathan Tompson; Austin Stone; Su Wang; Anthony Brohan; Jaspiar Singh; Clayton Tan; Dee M; Jodilyn Peralta; Karol Hausman; Brian Ichter; et al. (Robotics: Science and Systems XIX, Daegu, Republic of Korea, July 10-14, 2023, 2023)

Scaling Robot Learning with Semantically Imagined Experience - Tianhe Yu; Ted Xiao; Austin Stone; Jonathan Tompson; Anthony Brohan; Su Wang; Jaspiar Singh; Clayton Tan; Dee M; Jodilyn Peralta; Brian Ichter; Karol Hausman; et al. (CoRR, 2023)

PaLM-E: An Embodied Multimodal Language Model - 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; et al. (CoRR, 2023)

Learning Interactive Real-World Simulators - Mengjiao Yang; Yilun Du; Kamyar Ghasemipour; Jonathan Tompson; Dale Schuurmans; Pieter Abbeel (CoRR, 2023)

Video Language Planning - 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; et al. (CoRR, 2023)

Geometry Matching for Multi-Embodiment Grasping - Maria Attarian; Muhammad Adil Asif; Jingzhou Liu; Ruthrash Hari; Animesh Garg; Igor Gilitschenski; Jonathan Tompson (CoRR, 2023)

Inner Monologue: Embodied Reasoning through Planning with Language Models - Wenlong Huang; Fei Xia; Ted Xiao; Harris Chan; Jacky Liang; Pete Florence; Andy Zeng; Jonathan Tompson; Igor Mordatch; Yevgen Chebotar; Pierre Sermanet; Tomas Jackson; et al. (Conference on Robot Learning, CoRL 2022, 14-18 December 2022, Auckland, New Zealand, 2022)

Improving Zero-Shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions - Bogdan Mazoure; Ilya Kostrikov; Ofir Nachum; Jonathan Tompson (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

Visuomotor Control in Multi-Object Scenes Using Object-Aware Representations - Negin Heravi; Ayzaan Wahid; Corey Lynch; Pete Florence; Travis Armstrong; Jonathan Tompson; Pierre Sermanet; Jeannette Bohg; Debidatta Dwibedi (CoRR, 2022)

Inner Monologue: Embodied Reasoning through Planning with Language Models - Wenlong Huang; Fei Xia; Ted Xiao; Harris Chan; Jacky Liang; Pete Florence; Andy Zeng; Jonathan Tompson; Igor Mordatch; Yevgen Chebotar; Pierre Sermanet; Noah Brown; et al. (CoRR, 2022)

Interactive Language: Talking to Robots in Real Time - Corey Lynch; Ayzaan Wahid; Jonathan Tompson; Tianli Ding; James Betker; Robert Baruch; Travis Armstrong; Pete Florence (CoRR, 2022)

Contrastive Value Learning: Implicit Models for Simple Offline RL - Bogdan Mazoure; Benjamin Eysenbach; Ofir Nachum; Jonathan Tompson (CoRR, 2022)

Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models - Ted Xiao; Harris Chan; Pierre Sermanet; Ayzaan Wahid; Anthony Brohan; Karol Hausman; Sergey Levine; Jonathan Tompson (CoRR, 2022)

Implicit Behavioral Cloning - Pete Florence; Corey Lynch; Andy Zeng; Oscar A. Ramirez; Ayzaan Wahid; Laura Downs; Adrian Wong; Johnny Lee; Igor Mordatch; Jonathan Tompson (Conference on Robot Learning, 8-11 November 2021, London, UK, 2021)

XIRL: Cross-embodiment Inverse Reinforcement Learning - Kevin Zakka; Andy Zeng; Pete Florence; Jonathan Tompson; Jeannette Bohg; Debidatta Dwibedi (Conference on Robot Learning, 8-11 November 2021, London, UK, 2021)

With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations - Debidatta Dwibedi; Yusuf Aytar; Jonathan Tompson; Pierre Sermanet; Andrew Zisserman (2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021, Montreal, QC, Canada, October 10-17, 2021, 2021)

Offline Reinforcement Learning with Fisher Divergence Critic Regularization - Ilya Kostrikov; Rob Fergus; Jonathan Tompson; Ofir Nachum (Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event, 2021)

Learning to Rearrange Deformable Cables, Fabrics, and Bags with Goal-Conditioned Transporter Networks - Daniel Seita; Pete Florence; Jonathan Tompson; Erwin Coumans; Vikas Sindhwani; Ken Goldberg; Andy Zeng (IEEE International Conference on Robotics and Automation, ICRA 2021, Xi'an, China, May 30 - June 5, 2021, 2021)

Offline Reinforcement Learning with Fisher Divergence Critic Regularization - Ilya Kostrikov; Jonathan Tompson; Rob Fergus; Ofir Nachum (CoRR, 2021)

With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations - Debidatta Dwibedi; Yusuf Aytar; Jonathan Tompson; Pierre Sermanet; Andrew Zisserman (CoRR, 2021)

XIRL: Cross-embodiment Inverse Reinforcement Learning - Kevin Zakka; Andy Zeng; Pete Florence; Jonathan Tompson; Jeannette Bohg; Debidatta Dwibedi (CoRR, 2021)

Implicit Behavioral Cloning - Pete Florence; Corey Lynch; Andy Zeng; Oscar Ramirez; Ayzaan Wahid; Laura Downs; Adrian Wong; Johnny Lee; Igor Mordatch; Jonathan Tompson (CoRR, 2021)

Improving Zero-shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions - Bogdan Mazoure; Ilya Kostrikov; Ofir Nachum; Jonathan Tompson (CoRR, 2021)

Transporter Networks: Rearranging the Visual World for Robotic Manipulation - Andy Zeng; Pete Florence; Jonathan Tompson; Stefan Welker; Jonathan Chien; Maria Attarian; Travis Armstrong; Ivan Krasin; Dan Duong; Vikas Sindhwani; Johnny Lee (4th Conference on Robot Learning, CoRL 2020, 16-18 November 2020, Virtual Event / Cambridge, MA, USA, 2020)

Counting Out Time: Class Agnostic Video Repetition Counting in the Wild - Debidatta Dwibedi; Yusuf Aytar; Jonathan Tompson; Pierre Sermanet; Andrew Zisserman (2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, Seattle, WA, USA, June 13-19, 2020, 2020)

Imitation Learning via Off-Policy Distribution Matching - Ilya Kostrikov; Ofir Nachum; Jonathan Tompson (8th International Conference on Learning Representations, ICLR 2020, Addis Ababa, Ethiopia, April 26-30, 2020, 2020)

An Analysis of Object Representations in Deep Visual Trackers - Ross Goroshin; Jonathan Tompson; Debidatta Dwibedi (CoRR, 2020)

Counting Out Time: Class Agnostic Video Repetition Counting in the Wild - Debidatta Dwibedi; Yusuf Aytar; Jonathan Tompson; Pierre Sermanet; Andrew Zisserman (CoRR, 2020)

ADAIL: Adaptive Adversarial Imitation Learning - Yiren Lu; Jonathan Tompson (CoRR, 2020)

Transporter Networks: Rearranging the Visual World for Robotic Manipulation - Andy Zeng; Pete Florence; Jonathan Tompson; Stefan Welker; Jonathan Chien; Maria Attarian; Travis Armstrong; Ivan Krasin; Dan Duong; Vikas Sindhwani; Johnny Lee (CoRR, 2020)

Learning to Rearrange Deformable Cables, Fabrics, and Bags with Goal-Conditioned Transporter Networks - Daniel Seita; Pete Florence; Jonathan Tompson; Erwin Coumans; Vikas Sindhwani; Ken Goldberg; Andy Zeng (CoRR, 2020)

Learning Latent Plans from Play - Corey Lynch; Mohi Khansari; Ted Xiao; Vikash Kumar; Jonathan Tompson; Sergey Levine; Pierre Sermanet (3rd Annual Conference on Robot Learning, CoRL 2019, Osaka, Japan, October 30 - November 1, 2019, Proceedings, 2019)

Temporal Cycle-Consistency Learning - Debidatta Dwibedi; Yusuf Aytar; Jonathan Tompson; Pierre Sermanet; Andrew Zisserman (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019, 2019)

Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning - Ilya Kostrikov; Kumar Krishna Agrawal; Debidatta Dwibedi; Sergey Levine; Jonathan Tompson (7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, May 6-9, 2019, 2019)

Learning Latent Plans from Play - Corey Lynch; Mohi Khansari; Ted Xiao; Vikash Kumar; Jonathan Tompson; Sergey Levine; Pierre Sermanet (CoRR, 2019)

Temporal Cycle-Consistency Learning - Debidatta Dwibedi; Yusuf Aytar; Jonathan Tompson; Pierre Sermanet; Andrew Zisserman (CoRR, 2019)

Beyond Photo Realism for Domain Adaptation from Synthetic Data - Kristofer Schlachter; Connor DeFanti; Sebastian Herscher; Ken Perlin; Jonathan Tompson (CoRR, 2019)

Imitation Learning via Off-Policy Distribution Matching - Ilya Kostrikov; Ofir Nachum; Jonathan Tompson (CoRR, 2019)

Temporal Reasoning in Videos Using Convolutional Gated Recurrent Units - Debidatta Dwibedi; Pierre Sermanet; Jonathan Tompson (2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2018, Salt Lake City, UT, USA, June 18-22, 2018, 2018)

PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model - George Papandreou; Tyler Zhu; Liang-Chieh Chen; Spyros Gidaris; Jonathan Tompson; Kevin Murphy (Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XIV, 2018)

Learning Actionable Representations from Visual Observations - Debidatta Dwibedi; Jonathan Tompson; Corey Lynch; Pierre Sermanet (2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018, Madrid, Spain, October 1-5, 2018, 2018)

Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning - Supasorn Suwajanakorn; Noah Snavely; Jonathan Tompson; Mohammad Norouzi (Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, December 3-8, 2018, Montréal, Canada, 2018)

PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model - George Papandreou; Tyler Zhu; Liang-Chieh Chen; Spyros Gidaris; Jonathan Tompson; Kevin Murphy (CoRR, 2018)

Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning - Supasorn Suwajanakorn; Noah Snavely; Jonathan Tompson; Mohammad Norouzi (CoRR, 2018)

Learning Actionable Representations from Visual Observations - Debidatta Dwibedi; Jonathan Tompson; Corey Lynch; Pierre Sermanet (CoRR, 2018)

Addressing Sample Inefficiency and Reward Bias in Inverse Reinforcement Learning - Ilya Kostrikov; Kumar Krishna Agrawal; Sergey Levine; Jonathan Tompson (CoRR, 2018)

MARCOnI - ConvNet-Based MARker-Less Motion Capture in Outdoor and Indoor Scenes - Ahmed Elhayek; Edilson de Aguiar; Arjun Jain; Jonathan Tompson; Leonid Pishchulin; Mykhaylo Andriluka; Christoph Bregler; Bernt Schiele; Christian Theobalt (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Learning Robotic Manipulation of Granular Media - Connor Schenck; Jonathan Tompson; Sergey Levine; Dieter Fox (1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, California, USA, November 13-15, 2017, Proceedings, 2017)

Towards Accurate Multi-person Pose Estimation in the Wild - George Papandreou; Tyler Zhu; Nori Kanazawa; Alexander Toshev; Jonathan Tompson; Chris Bregler; Kevin Murphy (2017 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, Honolulu, HI, USA, July 21-26, 2017, 2017)

Accelerating Eulerian Fluid Simulation With Convolutional Networks - Jonathan Tompson; Kristofer Schlachter; Pablo Sprechmann; Ken Perlin (5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Workshop Track Proceedings, 2017)

Accelerating Eulerian Fluid Simulation With Convolutional Networks - Jonathan Tompson; Kristofer Schlachter; Pablo Sprechmann; Ken Perlin (Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017, 2017)

Towards Accurate Multi-person Pose Estimation in the Wild - George Papandreou; Tyler Zhu; Nori Kanazawa; Alexander Toshev; Jonathan Tompson; Chris Bregler; Kevin P. Murphy (CoRR, 2017)

Learning Robotic Manipulation of Granular Media - Connor Schenck; Jonathan Tompson; Dieter Fox; Sergey Levine (CoRR, 2017)

Accelerating Eulerian Fluid Simulation With Convolutional Networks - Jonathan Tompson; Kristofer Schlachter; Pablo Sprechmann; Ken Perlin (CoRR, 2016)

Localization of Humans in Images Using Convolutional Networks - Jonathan Tompson (New York University, USA, 2015)

Efficient object localization using Convolutional Networks - Jonathan Tompson; Ross Goroshin; Arjun Jain; Yann LeCun; Christoph Bregler (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015, Boston, MA, USA, June 7-12, 2015, 2015)

Efficient ConvNet-based marker-less motion capture in general scenes with a low number of cameras - Ahmed Elhayek; Edilson de Aguiar; Arjun Jain; Jonathan Tompson; Leonid Pishchulin; Mykhaylo Andriluka; Christoph Bregler; Bernt Schiele; Christian Theobalt (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015, Boston, MA, USA, June 7-12, 2015, 2015)

Unsupervised Learning of Spatiotemporally Coherent Metrics - Ross Goroshin; Joan Bruna; Jonathan Tompson; David Eigen; Yann LeCun (2015 IEEE International Conference on Computer Vision, ICCV 2015, Santiago, Chile, December 7-13, 2015, 2015)

Unsupervised Feature Learning from Temporal Data - Ross Goroshin; Joan Bruna; Jonathan Tompson; David Eigen; Yann LeCun (3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Workshop Track Proceedings, 2015)

Real-Time Continuous Pose Recovery of Human Hands Using Convolutional Networks - Jonathan Tompson; Murphy Stein; Yann LeCun; Ken Perlin (ACM Trans. Graph., 2014)

MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation - Arjun Jain; Jonathan Tompson; Yann LeCun; Christoph Bregler (Computer Vision - ACCV 2014 - 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part II, 2014)

Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation - Jonathan Tompson; Arjun Jain; Yann LeCun; Christoph Bregler (Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, December 8-13 2014, Montreal, Quebec, Canada, 2014)

Learning Human Pose Estimation Features with Convolutional Networks - Arjun Jain; Jonathan Tompson; Mykhaylo Andriluka; Graham W. Taylor; Christoph Bregler (2nd International Conference on Learning Representations, ICLR 2014, Banff, AB, Canada, April 14-16, 2014, Conference Track Proceedings, 2014)

Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation - Jonathan Tompson; Arjun Jain; Yann LeCun; Christoph Bregler (CoRR, 2014)

MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation - Arjun Jain; Jonathan Tompson; Yann LeCun; Christoph Bregler (CoRR, 2014)

Efficient Object Localization Using Convolutional Networks - Jonathan Tompson; Ross Goroshin; Arjun Jain; Yann LeCun; Christoph Bregler (CoRR, 2014)

Unsupervised Learning of Spatiotemporally Coherent Metrics - Ross Goroshin; Joan Bruna; Jonathan Tompson; David Eigen; Yann LeCun (CoRR, 2014)