Debidatta Dwibedi

35 papers A* 7A 1C 1Misc 1Journal 20Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
BPP: Long-Context Robot Imitation Learning by Focusing on Key History Frames.
CoRR
Max Sobol Mark, Jacky Liang, Maria Attarian, Chuyuan Fu, Debidatta Dwibedi, Dhruv Shah, Aviral Kumar
2024 J jnl
A Short Note on Evaluating RepNet for Temporal Repetition Counting in Videos.
CoRR
Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman
2024 J jnl
ALOHA 2: An Enhanced Low-Cost Hardware for Bimanual Teleoperation.
CoRR
ALOHA 2 Team, Jorge Aldaco, Travis Armstrong, Robert Baruch, Jeffrey T. 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
2024 J jnl
AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents.
CoRR
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
2024 A* conf
FlexCap: Describe Anything in Images in Controllable Detail.
NeurIPS
Debidatta Dwibedi, Vidhi Jain, Jonathan Tompson, Andrew Zisserman, Yusuf Aytar
2024 J jnl
FlexCap: Generating Rich, Localized, and Flexible Captions in Images.
CoRR
Debidatta Dwibedi, Vidhi Jain, Jonathan Tompson, Andrew Zisserman, Yusuf Aytar
2024 J jnl
Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation.
CoRR
Homanga Bharadhwaj, Debidatta Dwibedi, Abhinav Gupta, Shubham Tulsiani, Carl Doersch, Ted Xiao, Dhruv Shah, Fei Xia, Dorsa Sadigh, Sean Kirmani
2024 J jnl
OVR: A Dataset for Open Vocabulary Temporal Repetition Counting in Videos.
CoRR
Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Andrew Zisserman
2024 J jnl
RT-H: Action Hierarchies Using Language.
CoRR
Suneel Belkhale, Tianli Ding, Ted Xiao, Pierre Sermanet, Quon Vuong, Jonathan Tompson, Yevgen Chebotar, Debidatta Dwibedi, Dorsa Sadigh
2024 — conf
RT-H: Action Hierarchies using Language.
Robotics: Science and Systems
Suneel Belkhale, Tianli Ding, Ted Xiao, Pierre Sermanet, Quan Vuong, Jonathan Tompson, Yevgen Chebotar, Debidatta Dwibedi, Dorsa Sadigh
2024 A* conf
RoboVQA: Multimodal Long-Horizon Reasoning for Robotics.
ICRA
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
2024 — conf
Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers.
Robotics: Science and Systems
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
2024 J jnl
Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers.
CoRR
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
2023 C conf
Q-Match: Self-Supervised Learning by Matching Distributions Induced by a Queue.
ACML
Thomas Mulc, Debidatta Dwibedi
2023 J jnl
Q-Match: Self-Supervised Learning by Matching Distributions Induced by a Queue.
CoRR
Thomas Mulc, Debidatta Dwibedi
2023 J jnl
RoboVQA: Multimodal Long-Horizon Reasoning for Robotics.
CoRR
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
2023 A* conf
Visuomotor Control in Multi-Object Scenes Using Object-Aware Representations.
ICRA
Negin Heravi, Ayzaan Wahid, Corey Lynch, Pete Florence, Travis Armstrong, Jonathan Tompson, Pierre Sermanet, Jeannette Bohg, Debidatta Dwibedi
2022 J jnl
Visuomotor Control in Multi-Object Scenes Using Object-Aware Representations.
CoRR
Negin Heravi, Ayzaan Wahid, Corey Lynch, Pete Florence, Travis Armstrong, Jonathan Tompson, Pierre Sermanet, Jeannette Bohg, Debidatta Dwibedi
2021 A* conf
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations.
ICCV
Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman
2021 J jnl
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations.
CoRR
Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman
2021 Misc conf
XIRL: Cross-embodiment Inverse Reinforcement Learning.
CoRL
Kevin Zakka, Andy Zeng, Pete Florence, Jonathan Tompson, Jeannette Bohg, Debidatta Dwibedi
2021 J jnl
XIRL: Cross-embodiment Inverse Reinforcement Learning.
CoRR
Kevin Zakka, Andy Zeng, Pete Florence, Jonathan Tompson, Jeannette Bohg, Debidatta Dwibedi
2020 J jnl
An Analysis of Object Representations in Deep Visual Trackers.
CoRR
Ross Goroshin, Jonathan Tompson, Debidatta Dwibedi
2020 A* conf
Counting Out Time: Class Agnostic Video Repetition Counting in the Wild.
CVPR
Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman
2020 J jnl
Counting Out Time: Class Agnostic Video Repetition Counting in the Wild.
CoRR
Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman
2019 — conf
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning.
ICLR (Poster)
Ilya Kostrikov, Kumar Krishna Agrawal, Debidatta Dwibedi, Sergey Levine, Jonathan Tompson
2019 A* conf
Temporal Cycle-Consistency Learning.
CVPR
Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman
2019 J jnl
Temporal Cycle-Consistency Learning.
CoRR
Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman
2018 A conf
Learning Actionable Representations from Visual Observations.
IROS
Debidatta Dwibedi, Jonathan Tompson, Corey Lynch, Pierre Sermanet
2018 J jnl
Learning Actionable Representations from Visual Observations.
CoRR
Debidatta Dwibedi, Jonathan Tompson, Corey Lynch, Pierre Sermanet
2018 — conf
Temporal Reasoning in Videos Using Convolutional Gated Recurrent Units.
CVPR Workshops
Debidatta Dwibedi, Pierre Sermanet, Jonathan Tompson
2017 A* conf
Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection.
ICCV
Debidatta Dwibedi, Ishan Misra, Martial Hebert
2017 J jnl
Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection.
CoRR
Debidatta Dwibedi, Ishan Misra, Martial Hebert
2016 J jnl
Deep Cuboid Detection: Beyond 2D Bounding Boxes.
CoRR
Debidatta Dwibedi, Tomasz Malisiewicz, Vijay Badrinarayanan, Andrew Rabinovich
2014 — conf
Characterizing Predicate Arity and Spatial Structure for Inductive Learning of Game Rules.
ECCV Workshops (2)
Debidatta Dwibedi, Amitabha Mukerjee