Debidatta Dwibedi

According to our database, Debidatta Dwibedi authored at least 21 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation.

Homanga Bharadhwaj, Debidatta Dwibedi, Abhinav Gupta, Shubham Tulsiani, Carl Doersch, Ted Xiao, Dhruv Shah, Fei Xia, Dorsa Sadigh, Sean Kirmani

CoRR, 2024

OVR: A Dataset for Open Vocabulary Temporal Repetition Counting in Videos.

Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Andrew Zisserman

CoRR, 2024

ALOHA 2: An Enhanced Low-Cost Hardware for Bimanual Teleoperation.

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

CoRR, 2024

Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers.

Vidhi Jain, Maria Attarian, Nikhil J. Joshi, Ayzaan Wahid, Danny Driess, Quan Vuong, Pannag R. Sanketi, Pierre Sermanet, Stefan Welker, Christine Chan, Igor Gilitschenski, Yonatan Bisk, Debidatta Dwibedi

CoRR, 2024

FlexCap: Generating Rich, Localized, and Flexible Captions in Images.

Debidatta Dwibedi, Vidhi Jain, Jonathan Tompson, Andrew Zisserman, Yusuf Aytar

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

AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents.

Michael Ahn, Debidatta Dwibedi, Chelsea Finn, Montse Gonzalez Arenas, Keerthana Gopalakrishnan, Karol Hausman, Brian Ichter, Alex Irpan, Nikhil J. Joshi, Ryan Julian, Sean Kirmani, Isabel Leal, Tsang-Wei Edward Lee, Sergey Levine, Yao Lu, Sharath Maddineni, Kanishka Rao, Dorsa Sadigh, Pannag Sanketi, Pierre Sermanet, Quan Vuong, Stefan Welker, Fei Xia, Ted Xiao, Peng Xu, Steve Xu, Zhuo Xu

CoRR, 2024

RoboVQA: Multimodal Long-Horizon Reasoning for Robotics.

Pierre Sermanet, Tianli Ding, Jeffrey Zhao, Fei Xia, Debidatta Dwibedi, Keerthana Gopalakrishnan, Christine Chan, Gabriel Dulac-Arnold, Sharath Maddineni, Nikhil J. Joshi, Pete Florence, Wei Han, Robert Baruch, Yao Lu, Suvir Mirchandani, Peng Xu, Pannag Sanketi, Karol Hausman, Izhak Shafran, Brian Ichter, Yuan Cao

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

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

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Q-Match: Self-Supervised Learning by Matching Distributions Induced by a Queue.

Thomas Mulc, Debidatta Dwibedi

Proceedings of the Asian Conference on Machine Learning, 2023

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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

XIRL: Cross-embodiment Inverse Reinforcement Learning.

Kevin Zakka, Andy Zeng, Pete Florence, Jonathan Tompson, Jeannette Bohg, Debidatta Dwibedi

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

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

Proceedings of the 7th International Conference on Learning Representations, 2019

Temporal Cycle-Consistency Learning.

Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Learning Actionable Representations from Visual Observations.

Debidatta Dwibedi, Jonathan Tompson, Corey Lynch, Pierre Sermanet

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Temporal Reasoning in Videos Using Convolutional Gated Recurrent Units.

Debidatta Dwibedi, Pierre Sermanet, Jonathan Tompson

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection.

Debidatta Dwibedi, Ishan Misra, Martial Hebert

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Deep Cuboid Detection: Beyond 2D Bounding Boxes.

Debidatta Dwibedi, Tomasz Malisiewicz, Vijay Badrinarayanan, Andrew Rabinovich

CoRR, 2016

2014

Characterizing Predicate Arity and Spatial Structure for Inductive Learning of Game Rules.

Debidatta Dwibedi, Amitabha Mukerjee

Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014