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个人简介
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.
研究兴趣
论文共 351 篇作者统计合作学者相似作者
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Alexander Khazatsky,Karl Pertsch,Suraj Nair,Ashwin Balakrishna,Sudeep Dasari,Siddharth Karamcheti,Soroush Nasiriany, Mohan Kumar Srirama,Lawrence Yunliang Chen, Kirsty Ellis, Peter David Fagan,Joey Hejna,
arxiv(2024)
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Raunaq Bhirangi,Chenyu Wang, Venkatesh Pattabiraman, Carmel Majidi,Abhinav Gupta, Tess Hellebrekers,Lerrel Pinto
CoRR (2024)
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CoRR (2023): 19660-19671
CVPR 2023 (2023): 22479-22489
IEEE Transactions on Pattern Analysis and Machine Intelligenceno. 6 (2023): 6867-6869
CoRR (2023): 493-512
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CoRR (2023)
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