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ORCIDDebidatta Dwibedi
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2020 – today
- 2024
[c12]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: 645-652- [i18]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:
AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents. CoRR abs/2401.12963 (2024) - [i17]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 abs/2403.01823 (2024) - [i16]Debidatta Dwibedi, Vidhi Jain, Jonathan Tompson, Andrew Zisserman, Yusuf Aytar:
FlexCap: Generating Rich, Localized, and Flexible Captions in Images. CoRR abs/2403.12026 (2024) - [i15]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 abs/2403.12943 (2024) - [i14]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 abs/2405.02292 (2024) - [i13]Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Andrew Zisserman:
OVR: A Dataset for Open Vocabulary Temporal Repetition Counting in Videos. CoRR abs/2407.17085 (2024) - [i12]Homanga Bharadhwaj, Debidatta Dwibedi, Abhinav Gupta, Shubham Tulsiani, Carl Doersch, Ted Xiao, Dhruv Shah, Fei Xia, Dorsa Sadigh, Sean Kirmani:
Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation. CoRR abs/2409.16283 (2024) - 2023
- [c11]Thomas Mulc, Debidatta Dwibedi:
Q-Match: Self-Supervised Learning by Matching Distributions Induced by a Queue. ACML 2023: 911-926 - [c10]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: 9515-9522 - [i11]Thomas Mulc, Debidatta Dwibedi:
Q-Match: Self-Supervised Learning by Matching Distributions Induced by a Queue. CoRR abs/2302.05444 (2023) - [i10]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 abs/2311.00899 (2023) - 2022
- [i9]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 abs/2205.06333 (2022) - 2021
- [c9]Kevin Zakka, Andy Zeng, Pete Florence, Jonathan Tompson, Jeannette Bohg, Debidatta Dwibedi:
XIRL: Cross-embodiment Inverse Reinforcement Learning. CoRL 2021: 537-546 - [c8]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: 9568-9577 - [i8]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 abs/2104.14548 (2021) - [i7]Kevin Zakka, Andy Zeng, Pete Florence, Jonathan Tompson, Jeannette Bohg, Debidatta Dwibedi:
XIRL: Cross-embodiment Inverse Reinforcement Learning. CoRR abs/2106.03911 (2021) - 2020
- [c7]Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman:
Counting Out Time: Class Agnostic Video Repetition Counting in the Wild. CVPR 2020: 10384-10393 - [i6]Ross Goroshin, Jonathan Tompson, Debidatta Dwibedi:
An Analysis of Object Representations in Deep Visual Trackers. CoRR abs/2001.02593 (2020) - [i5]Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman:
Counting Out Time: Class Agnostic Video Repetition Counting in the Wild. CoRR abs/2006.15418 (2020)
2010 – 2019
- 2019
- [c6]Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman:
Temporal Cycle-Consistency Learning. CVPR 2019: 1801-1810 - [c5]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 - [i4]Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman:
Temporal Cycle-Consistency Learning. CoRR abs/1904.07846 (2019) - 2018
- [c4]Debidatta Dwibedi, Pierre Sermanet, Jonathan Tompson:
Temporal Reasoning in Videos Using Convolutional Gated Recurrent Units. CVPR Workshops 2018: 1111-1116 - [c3]Debidatta Dwibedi, Jonathan Tompson, Corey Lynch, Pierre Sermanet:
Learning Actionable Representations from Visual Observations. IROS 2018: 1577-1584 - [i3]Debidatta Dwibedi, Jonathan Tompson, Corey Lynch, Pierre Sermanet:
Learning Actionable Representations from Visual Observations. CoRR abs/1808.00928 (2018) - 2017
- [c2]Debidatta Dwibedi, Ishan Misra, Martial Hebert:
Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection. ICCV 2017: 1310-1319 - [i2]Debidatta Dwibedi, Ishan Misra, Martial Hebert:
Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection. CoRR abs/1708.01642 (2017) - 2016
- [i1]Debidatta Dwibedi, Tomasz Malisiewicz, Vijay Badrinarayanan, Andrew Rabinovich:
Deep Cuboid Detection: Beyond 2D Bounding Boxes. CoRR abs/1611.10010 (2016) - 2014
- [c1]Debidatta Dwibedi, Amitabha Mukerjee:
Characterizing Predicate Arity and Spatial Structure for Inductive Learning of Game Rules. ECCV Workshops (2) 2014: 323-338
Coauthor Index
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last updated on 2024-11-14 00:53 CET by the dblp team
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