Debidatta Dwibedi

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 28

Top Topics

Inverse Reinforcement Learning

Bayesian Nonparametric

Visual Representation

Top Venues

Publications

Debidatta Dwibedi, Vidhi Jain, Jonathan Tompson, Andrew Zisserman, Yusuf Aytar
FlexCap: Generating Rich, Localized, and Flexible Captions in Images. CoRR (2024)
Michael Ahn, Debidatta Dwibedi, Chelsea Finn, Montse Gonzalez Arenas, Keerthana Gopalakrishnan, Karol Hausman, Brian Ichter, Alex Irpan, Nikhil Joshi, Ryan Julian, Sean Kirmani, Isabel Leal, Tsang-Wei Edward Lee, Sergey Levine, Yao Lu, Isabel Leal, Sharath Maddineni, Kanishka Rao, Dorsa Sadigh, Pannag Sanketi, Pierre Sermanet, Quan Vuong, Stefan Welker, Fei Xia, Ted Xiao, Peng Xu, Steve Xu, Zhuo Xu
AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents. CoRR (2024)
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
Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers. CoRR (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)
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
RoboVQA: Multimodal Long-Horizon Reasoning for Robotics. ICRA (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)
Thomas Mulc, Debidatta Dwibedi
Q-Match: Self-supervised Learning by Matching Distributions Induced by a Queue. CoRR (2023)
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
RoboVQA: Multimodal Long-Horizon Reasoning for Robotics. CoRR (2023)
Thomas Mulc, Debidatta Dwibedi
Q-Match: Self-Supervised Learning by Matching Distributions Induced by a Queue. ACML (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)
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)
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)
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)
Ross Goroshin, Jonathan Tompson, Debidatta Dwibedi
An Analysis of Object Representations in Deep Visual Trackers. CoRR (2020)
Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman
Counting Out Time: Class Agnostic Video Repetition Counting in the Wild. CVPR (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, 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)
Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman
Temporal Cycle-Consistency Learning. CoRR (2019)
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)
Debidatta Dwibedi, Pierre Sermanet, Jonathan Tompson
Temporal Reasoning in Videos Using Convolutional Gated Recurrent Units. CVPR Workshops (2018)
Debidatta Dwibedi, Ishan Misra, Martial Hebert
Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection. CoRR (2017)
Debidatta Dwibedi, Ishan Misra, Martial Hebert
Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection. ICCV (2017)
Debidatta Dwibedi, Tomasz Malisiewicz, Vijay Badrinarayanan, Andrew Rabinovich
Deep Cuboid Detection: Beyond 2D Bounding Boxes. CoRR (2016)
Debidatta Dwibedi, Amitabha Mukerjee
Characterizing Predicate Arity and Spatial Structure for Inductive Learning of Game Rules. ECCV Workshops (2) (2014)