Abhinav Gupta

Active 1999–2026

350
Papers
54,131
Citations
96
h-index
237
i10-index

Citations

Citations per year for Abhinav Gupta1950: 1 citations1964: 1 citations1966: 1 citations1971: 1 citations1972: 1 citations1994: 1 citations1995: 1 citations1999: 1 citations2000: 1 citations2001: 1 citations2003: 2 citations2004: 11 citations2005: 11 citations2006: 24 citations2007: 24 citations2008: 36 citations2009: 88 citations2010: 143 citations2011: 215 citations2012: 274 citations2013: 451 citations2014: 646 citations2015: 846 citations2016: 1,021 citations2017: 1,452 citations2018: 2,066 citations2019: 2,386 citations2020: 2,826 citations2021: 2,875 citations2022: 2,065 citations2023: 1,927 citations2024: 1,754 citations2025: 1,678 citations2026: 609 citations1951–1963: no citations, so these years are not shown1965: no citations, so this year is not shown1967–1970: no citations, so these years are not shown1973–1993: no citations, so these years are not shown1996–1998: no citations, so these years are not shown2002: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 6,070 citing papers, 26.1% of this breakdownUnited States: 5,474 citing papers, 23.6% of this breakdownUnited Kingdom: 1,440 citing papers, 6.2% of this breakdownGermany: 887 citing papers, 3.8% of this breakdownAustralia: 794 citing papers, 3.4% of this breakdownIndia: 651 citing papers, 2.8% of this breakdownCanada: 631 citing papers, 2.7% of this breakdownJapan: 589 citing papers, 2.6% of this breakdownSouth Korea: 587 citing papers, 2.5% of this breakdownFrance: 538 citing papers, 2.3% of this breakdownHong Kong: 515 citing papers, 2.2% of this breakdownSingapore: 514 citing papers, 2.2% of this breakdown
0%26.1%Other 19.6%

Fields

  • Computer Science74.1%
  • Engineering16.2%
  • Medicine2.7%
  • Neuroscience1.1%
  • Biochemistry, Genetics and Molecular Biology0.8%
  • Environmental Science0.8%
  • Other4.3%

Topics

  • Human Pose and Action Recognition7.3%
  • Multimodal Machine Learning Applications6.6%
  • Advanced Image and Video Retrieval Techniques5.5%
  • Video Surveillance and Tracking Methods4.9%
  • Advanced Neural Network Applications4.5%
  • Domain Adaptation and Few-Shot Learning4.5%
  • Other66.7%

Coauthors

All papers

Open in search
  1. DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Kyle Hatch, Shan Lin, Jingpei Lu, Jean Mercat, Abdul Rehman, Pannag Sanketi, Archit Sharma, Cody Simpson, Quan Vuong, Homer Walke, Blake Wulfe, Ted Xiao, Jonathan Yang, Arefeh Yavary, Tony Z. Zhao, Christopher Agia, Rohan Baijal, Mateo Guaman Castro, Daphne Chen, Qiuyu Chen, Trinity Chung, Jaimyn Drake, Ethan Paul Foster, Jensen Gao, Guizilini, Vitor, David Herrera, Minho Heo, Kyle Hsu, Jiaheng Hu, Irshad, Muhammad Zubair, Donovon Jackson, Charlotte Le, Yunshuang Li, Kevin Lin, Roy Lin, Zehan Ma, Abhiram Maddukuri, Suvir Mirchandani, Daniel Morton, Tony Nguyen, Abigail O’Neill, Rosario Scalise, Derick Seale, Victor Son, Stephen Tian, Emi Tran, Andrew E. Wang, Yilin Wu, Annie Xie, Jingyun Yang, Patrick Yin, Yunchu Zhang, Osbert Bastani, Glen Berseth, Jeannette Bohg, Ken Goldberg, Abhinav Gupta, Abhishek Gupta, Dinesh Jayaraman, Joseph J. Lim, Jitendra Malik, Roberto Martín-Martín, Subramanian Ramamoorthy, Dorsa Sadigh, Shuran Song, Jiajun Wu, Michael C. Yip, Yuke Zhu, Thomas Kollar, Sergey Levine and 1 more - arXiv (Cornell University), CoRR 2024 cited by 522

  2. R3M: A Universal Visual Representation for Robot Manipulation

    Authors: , , , , - CoRL 2022 cited by 437

  3. Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding

    Authors: , , , , , - Lecture notes in computer science, ECCV (1) 2016 cited by 1,052

  4. Human-to-Robot Imitation in the Wild

    Authors: , , - Robotics: Science and Systems XVIII 2022 cited by 150

  5. DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Kyle Beltran Hatch, Shan Lin, Jingpei Lu, Jean Mercat, Abdul Rehman, Pannag R. Sanketi, Archit Sharma, Cody Simpson, Quan Vuong, Homer Rich Walke, Blake Wulfe, Ted Xiao, Jonathan Heewon Yang, Arefeh Yavary, Tony Z. Zhao, Christopher Agia, Rohan Baijal, Mateo Guaman Castro, Daphne Chen, Qiuyu Chen, Trinity Chung, Jaimyn Drake, Ethan Paul Foster, Jensen Gao, David Antonio Herrera, Minho Heo, Kyle Hsu, Jiaheng Hu, Donovon Jackson, Charlotte Le, Yunshuang Li, Roy Lin, Zehan Ma, Abhiram Maddukuri, Suvir Mirchandani, Daniel Morton, Tony Nguyen, Abigail O'Neill, Rosario Scalise, Derick Seale, Victor Son, Stephen Tian, Emi Tran, Andrew E. Wang, Yilin Wu, Annie Xie, Jingyun Yang, Patrick Yin, Yunchu Zhang, Osbert Bastani, Glen Berseth, Jeannette Bohg, Ken Goldberg, Abhinav Gupta, Abhishek Gupta, Dinesh Jayaraman, Joseph J. Lim, Jitendra Malik, Roberto Martín-Martín, Subramanian Ramamoorthy, Dorsa Sadigh, Shuran Song, Jiajun Wu, Michael C. Yip, Yuke Zhu, Thomas Kollar, Sergey Levine, Chelsea Finn - Robotics: Science and Systems XX 2024 cited by 116

  6. Never-ending learning

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , - Communications of the ACM, Commun. ACM 2018 cited by 511

  7. Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation

    Authors: , , , , , , , , , - arXiv (Cornell University), CoRR 2024 cited by 100

  8. Videos as Space-Time Region Graphs

    Authors: , - Lecture notes in computer science, ECCV (5) 2018 cited by 864

  9. Learning To Explore Using Active Neural SLAM

    Authors: , , , , - ICLR 2020 cited by 631

  10. Charades-Ego: A Large-Scale Dataset of Paired Third and First Person Videos

    Authors: , , , , - arXiv (Cornell University), CoRR 2018 cited by 166

  11. From Red Wine to Red Tomato: Composition with Context

    Authors: , , - IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 cited by 244

  12. Supersizing Self-supervision: Learning to Grasp from 50K Tries and 700 Robot Hours

    Authors: , - IEEE International Conference on Robotics and Automation (ICRA) 2016 cited by 1,099

  13. Where2Act: From Pixels to Actions for Articulated 3D Objects

    Authors: , , , , - IEEE/CVF International Conference on Computer Vision (ICCV) 2021 cited by 119

  14. Learning From Noisy Large-Scale Datasets With Minimal Supervision

    Authors: , , , , , - IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 cited by 481

  15. Unsupervised Learning of Visual Representations Using Videos

    Authors: , - IEEE International Conference on Computer Vision (ICCV) 2015 cited by 967

  16. A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection

    Authors: , , - IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 cited by 676

  17. What makes Paris look like Paris?

    Authors: , , , , - ACM Transactions on Graphics, ACM Trans. Graph. 2012 cited by 687

  18. Object Goal Navigation using Goal-Oriented Semantic Exploration

    Authors: , , , - Neural Information Processing Systems, NeurIPS 2020 cited by 786

  19. Webly Supervised Learning of Convolutional Networks

    Authors: , - IEEE International Conference on Computer Vision (ICCV) 2015 cited by 333

  20. Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

    Authors: , , , - IEEE International Conference on Computer Vision (ICCV) 2017 cited by 2,290

  21. RoboAgent: Generalization and Efficiency in Robot Manipulation via Semantic Augmentations and Action Chunking

    Authors: , , , , , - IEEE International Conference on Robotics and Automation (ICRA) 2024 cited by 70

  22. Track2Act: Predicting Point Tracks from Internet Videos enables Diverse Zero-shot Robot Manipulation

    Authors: , , , - Lecture notes in computer science, ECCV (76) 2024 cited by 48

  23. Zero-Shot Robot Manipulation from Passive Human Videos

    Authors: , , , - arXiv (Cornell University), CoRR 2023 cited by 47

  24. Assessment of insulin sensitivity/resistance

    Authors: , , , , - Indian Journal of Endocrinology and Metabolism 2014 cited by 566