PeopleofSuperintelligence

Researcher

Jia Deng

Also known as Jia Hao Deng

Jia Deng is a computer vision researcher and Princeton professor. He coauthored ImageNet, a WordNet-organized image database for object recognition. His research on human-readable object categories won the ICCV Marr Prize, and he received the PAMI Mark Everingham Prize in 2016. ImageNet later received the PAMI Longuet-Higgins Prize, and his RAFT paper won ECCV’s 2020 Best Paper Award for optical flow. As of October 2026, he is a Princeton professor on leave and leads active projects on image foundation models and procedural 3D data.

Works
101
Citations
124,507
h-index
51

Publication numbers from OpenAlex, as of 14 October 2026.

Photo of Jia Deng

Timeline

  1. 2009

    Building a visual database

    With Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei, he coauthored the 2009 paper that introduced ImageNet, a WordNet-organized image dataset for object-recognition research.

  2. 2012

    A computer science education

    He earned a Ph.D. in computer science from Princeton University in 2012, after earning a B.Eng. in computer science from Tsinghua University.

  3. 2013

    Naming objects for people

    With Vicente Ordonez, Yejin Choi, Alexander C. Berg, and Tamara L. Berg, he studied how systems could map detailed image categories to object labels people use. Their paper won the ICCV Marr Prize.

  4. 2016

    A community prize

    He received the PAMI Mark Everingham Prize in 2016.

  5. 2018

    Returning to Princeton

    By 2018, he was an assistant professor of computer science at Princeton, after serving as an assistant professor at the University of Michigan.

  6. 2019

    ImageNet’s lasting impact

    The 2009 ImageNet paper received the PAMI Longuet-Higgins Prize in 2019 as the retrospective most impactful paper from CVPR 2009.

  7. 2020

    Following motion in video

    With Zachary Teed, he coauthored RAFT, a deep network for optical-flow estimation that updates pixel motion through recurrent lookups on all-pairs correlations. The ECCV 2020 paper won the conference’s Best Paper Award.

  8. As of October 2026

    A current research program

    As of October 2026, he is a Professor of Computer Science at Princeton and is on leave. He leads active NSF projects on foundation models for rock-cross-section images and procedural generation of photorealistic 3D data.

Sources and credits

Photo: cs.princeton.edu; Jia Deng ·; creator not stated. License: Not stated by source. Source: cs.princeton.edu. Cropped to a square and resized. Ask us to remove or replace this photo.

  1. ImageNet image-net.org. Checked 14 October 2026.
  2. Teaching Computers to See and Think cs.princeton.edu. Checked 14 October 2026.
  3. Computer Science Ph.D. Graduates On the Move cs.princeton.edu. Checked 14 October 2026.
  4. ICCV 2013 Awards cs.rice.edu. Checked 14 October 2026.
  5. From large scale image categorization to entry-level categories collaborate.princeton.edu. Checked 14 October 2026.
  6. Jia Deng cs.princeton.edu. Checked 14 October 2026.
  7. Vision & Learning Lab research pvl.cs.princeton.edu. Checked 14 October 2026.
  8. RAFT: Recurrent All-Pairs Field Transforms for Optical Flow arxiv.org. Checked 14 October 2026.
  9. Jia Deng | Computer Science cs.princeton.edu. Checked 14 October 2026.
  10. Jia Deng - Princeton University collaborate.princeton.edu. Checked 14 October 2026.