Researcher

Abhinav Shrivastava

Also known as @abhi2610

Abhinav Shrivastava is a computer vision researcher whose work includes visual learning, object detection, and video understanding. He earned a B.Tech in computer science and engineering at Jaypee Institute of Information Technology, then completed an M.S. and a robotics Ph.D. at Carnegie Mellon while holding a Microsoft Research Ph.D. Fellowship. In 2013, he co-authored NEIL, a system for learning visual knowledge from internet images; in 2016, he co-authored online hard example mining for object detectors. As of October 2026, he is an associate professor at Maryland, leads the Perception and Intelligence Lab, and is co-founder and CEO of a startup building AI-native video infrastructure.

Works
159
Citations
12,879
h-index
40

Publication numbers from OpenAlex, as of 18 October 2026.

Timeline

  1. 2006–2010

    A computer science degree

    From 2006 to 2010, he studies computer science and engineering at JIIT and earns a B.Tech.

  2. 2011–2013

    NEIL at Carnegie Mellon

    He completes an M.S. in artificial intelligence and robotics at CMU in 2011, then co-authors NEIL in 2013, a semi-supervised system that extracts visual knowledge and common-sense relationships from Internet data.

  3. 2014–2017

    A fellowship and detector training

    He receives a Microsoft Research Ph.D. Fellowship from 2014 to 2016 and completes a robotics Ph.D. at CMU in 2017. In 2016, he co-authors online hard example mining, an algorithm for training region-based object detectors on difficult examples.

  4. By 2021

    A visiting role at Google

    By 2021, he is an assistant professor at Maryland after spending a year as a visiting research scientist at Google Research.

  5. 2023

    An NSF CAREER Award

    In 2023, he receives an NSF CAREER Award to develop methods that help computers understand temporal phenomena and recognize human actions in videos.

  6. 2025

    A JIIT alumni award

    In 2025, he receives JIIT’s Distinguished Alumni Award for Academic Excellence.

  7. As of October 2026

    Professor and startup CEO

    As of October 2026, he is an associate professor of computer science at Maryland and leads the Perception and Intelligence Lab; he is also co-founder and CEO of a startup building AI-native video infrastructure.

Career

  1. Since 2019University of MarylandAssistant Professor
  2. 2017–2020Google
  3. Google ResearchVisiting Research Scientist

Education

  1. 2017Carnegie Mellon UniversityRobotics Ph.D.
  2. 2011Carnegie Mellon UniversityM.S.
  3. 2010Jaypee Institute of Information TechnologyB.Tech

Most-cited works

  1. Training Region-Based Object Detectors with Online Hard Example Mining2016 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition · 2,675 citationsWith Ross Girshick
  2. Revisiting Unreasonable Effectiveness of Data in Deep Learning Era2017 · IEEE International Conference on Computer Vision (ICCV) · 2,480 citations
  3. Cross-Stitch Networks for Multi-task Learning2016 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition · 1,477 citationsWith Martial Hebert
  4. A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection2017 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition · 655 citations
  5. NEIL: Extracting Visual Knowledge from Web Data2013 · IEEE International Conference on Computer Vision (ICCV) · 410 citations

Sources and credits

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  1. Proud Moments | Jaypee Institute of Information Technology jiit.ac.in. Checked 18 October 2026.
  2. Abhinav Shrivastava - Pittsburgh, PA, Carnegie Mellon University | about.me about.me. Checked 18 October 2026.
  3. NEIL: Extracting Visual Knowledge from Web Data - Robotics Institute Carnegie Mellon University publications.ri.cmu.edu. Checked 18 October 2026.
  4. Abhinav Shrivastava - Robotics Institute Carnegie Mellon University ri.cmu.edu. Checked 18 October 2026.
  5. Bio — Abhinav Shrivastava abhinavsh.info. Checked 18 October 2026.
  6. Training Region-based Object Detectors with Online Hard Example Mining arxiv.org. Checked 18 October 2026.
  7. Talks talks.cs.umd.edu. Checked 18 October 2026.
  8. Abhinav Shrivastava Receives NSF CAREER Award to Advance Computers’ Understanding of Temporal Phenomena cs.umd.edu. Checked 18 October 2026.
  9. Shrivastava — NSF Institute for Trustworthy AI in Law & Society (TRAILS) trails.umd.edu. Checked 18 October 2026.
  10. Abhinav Shrivastava abhinavsh.info. Checked 18 October 2026.