Abhinav Gupta
Abhinav Gupta studies how learning systems can use data to acquire visual representations, commonsense and robot actions. His research connects perception with interaction. Gupta received the 2016 PAMI Young Researcher Award. His work includes self-supervised, lifelong and interactive learning systems. He received the 2020 JK Aggarwal Prize for contributions to self-supervised learning. His research studies visual representations and actions learned from data. He returned to full-time CMU work in May 2022. His career includes earlier CMU postdoctoral work with Alyosha Efros and Martial Hebert and a doctoral thesis titled Beyond Nouns and Verbs.
Timeline
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2016
Visual-learning recognition
Gupta received the 2016 PAMI Young Researcher Award. His work includes self-supervised, lifelong and interactive learning systems.
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2020
Self-supervised learning
He received the 2020 JK Aggarwal Prize for contributions to self-supervised learning. His research studies visual representations and actions learned from data.
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2022
Full-time CMU research
He returned to full-time CMU work in May 2022. His career includes earlier CMU postdoctoral work with Alyosha Efros and Martial Hebert and a doctoral thesis titled Beyond Nouns and Verbs.
Sources and credits
Photo: www.cs.cmu.edu; Abhinav Gupta profile photograph; creator not stated. License: Not stated by source. Source: cs.cmu.edu. Cropped to a square and resized. Ask us to remove or replace this photo.
- Abhinav Gupta Homepage
- Abhinav Gupta is an Associate Professor at the Robotics Institute, Carnegie Mellon University. His research focuses on scaling up learning by building self-supervised, lifelong and interactive learning systems. Specifically, he is interested in how self-supervised systems can effectively use data to learn visual representation, common sense and representation for actions in robots. Abhinav is a recipient of several awards including IAPR 2020 JK Aggarwal Prize, PAMI 2016 Young Researcher Award, ONR Young Investigator Award, Sloan Research Fellowship, Okawa Foundation Grant, Bosch Young Faculty Fellowship, YPO Fellowship, IJCAI Early Career Spotlight, ICRA Best Student Paper award, and the ECCV Best Paper Runner-up Award. His research has also been featured in Newsweek, BBC, Wall Street Journal, Wired and Slashdot.