Debidatta Dwibedi

Debidatta Dwibedi

Debidatta completed his Masters in Robotics from the Robotics Institute at CMU. His research interests lie at the intersection of machine learning, computer vision, and robotics. More information is available here.

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XIRL: Cross-embodiment Inverse Reinforcement Learning
Kevin Zakka
Andy Zeng
Pete Florence
Jonathan James Richard Tompson
Jeannette Bohg
Debidatta Dwibedi
CORL (2021)
An Analysis of Object Representations in Deep Visual Trackers
Ross Goroshin
Jonathan Tompson
Debidatta Dwibedi
Google Research (2020)
Counting Out Time: Class Agnostic Video Periodicity in the Wild
Debidatta Dwibedi
Yusuf Aytar
Jonathan James Richard Tompson
Pierre Sermanet
Andrew Zisserman
CVPR (2020)
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning
Ilya Kostrikov
Kumar Krishna Agrawal
Debidatta Dwibedi
Sergey Levine
Jonathan Tompson
ICLR (2019)
Temporal Cycle-Consistency Learning
Debidatta Dwibedi
Yusuf Aytar
Jonathan Tompson
Pierre Sermanet
Andrew Zisserman
CVPR (2019)
Learning Actionable Representations from Visual Observations
Debidatta Dwibedi
Jonathan Tompson
Corey Lynch
Pierre Sermanet
International Conference on Intelligent Robots (IROS) (2018)
Temporal Reasoning in Videos using Convolutional Gated Recurrent Units
Debidatta Dwibedi
Jonathan Tompson
Pierre Sermanet
CVPR Workshop (2018)
Self-supervised Representation Learning for Continuous Control
Debidatta Dwibedi
Jonathan Tompson
Corey Lynch
Pierre Sermanet
ICRA Workshop (2018)
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