World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
60
Citations
135369
World Ranking
3143
National Ranking
1521

Research.com Recognitions

  • 2018 - Fellow of Alfred P. Sloan Foundation

Overview

Jia Deng is affiliated with Princeton University in the United States. Their primary research contributions lie within the field of Computer Science, specifically focusing on Computer Vision and Pattern Recognition. They have also contributed to subfields including Artificial Intelligence, Computer Graphics and Computer-Aided Design, Media Technology, and Geology.

The scientist's research topics primarily cover:

  • Advanced Vision and Imaging
  • Advanced Image Processing Techniques
  • Image Enhancement Techniques
  • Optical measurement and interference techniques
  • Advanced Neural Network Applications
  • Computer Graphics and Visualization Techniques
  • Image Processing Techniques and Applications

Jia Deng has authored numerous papers, with recent publications including:

  • RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching, 2021, 2021 International Conference on 3D Vision (3DV)
  • RAFT: Recurrent All-Pairs Field Transforms for Optical Flow, 2020, arXiv (Cornell University)
  • A Study of Face Obfuscation in ImageNet, 2021, arXiv (Cornell University)
  • RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching, 2021, arXiv (Cornell University)
  • Learning Video Representations from Textual Web Supervision, 2020, arXiv (Cornell University)

The frequent venues of publication for Jia Deng include:

  • arXiv (Cornell University)
  • 2021 International Conference on 3D Vision (3DV)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • The Visual Computer
  • Dynamics of Atmospheres and Oceans

Frequent coauthors working with Jia Deng are:

  • Zachary Teed
  • Lahav Lipson
  • Kaiyu Yang
  • Ankit Goyal
  • Hongyu Wen

Jia Deng received the award of Fellow of the Alfred P. Sloan Foundation in 2018.

Best Publications

  • ImageNet: A large-scale hierarchical image database

    Jia Deng;Wei Dong;Richard Socher;Li-Jia Li

  • ImageNet Large Scale Visual Recognition Challenge

    Olga Russakovsky;Jia Deng;Hao Su;Jonathan Krause

  • Stacked Hourglass Networks for Human Pose Estimation

    Alejandro Newell;Kaiyu Yang;Jia Deng

  • 3D Object Representations for Fine-Grained Categorization

    Jonathan Krause;Michael Stark;Jia Deng;Li Fei-Fei

  • Cornernet: Detecting objects as paired keypoints

    Hei Law;Jia Deng

  • RAFT: Recurrent All-Pairs Field Transforms for Optical Flow

    Zachary Teed;Jia Deng

  • CornerNet: Detecting Objects as Paired Keypoints

    Hei Law;Jia Deng

  • Associative Embedding: End-to-End Learning for Joint Detection and Grouping

    Alejandro Newell;Zhiao Huang;Jia Deng

  • Rethinking the Faster R-CNN Architecture for Temporal Action Localization

    Yu-Wei Chao;Sudheendra Vijayanarasimhan;Bryan Seybold;David A. Ross

  • What does classifying more than 10,000 image categories tell us?

    Jia Deng;Alexander C. Berg;Kai Li;Li Fei-Fei

  • RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching

    Unknown

  • Using deep learning and google street view to estimate the demographic makeup of neighborhoods across the United States

    Timnit Gebru;Jonathan Krause;Yilun Wang;Duyun Chen

  • Large-Scale Object Classification Using Label Relation Graphs

    Jia Deng;Jia Deng;Nan Ding;Yangqing Jia;Andrea Frome

  • Learning to Detect Human-Object Interactions

    Yu-Wei Chao;Yunfan Liu;Xieyang Liu;Huayi Zeng

  • Single-Image Depth Perception in the Wild

    Weifeng Chen;Zhao Fu;Dawei Yang;Jia Deng

  • Fine-Grained Crowdsourcing for Fine-Grained Recognition

    Jia Deng;Jonathan Krause;Li Fei-Fei

  • HICO: A Benchmark for Recognizing Human-Object Interactions in Images

    Yu-Wei Chao;Zhan Wang;Yugeng He;Jiaxuan Wang

  • Hierarchical semantic indexing for large scale image retrieval

    Jia Deng;Alexander C. Berg;Li Fei-Fei

  • ImageNet: Constructing a large-scale image database

    Li Fei-Fei;Jia Deng;Kai Li

  • Towards fairer datasets: filtering and balancing the distribution of the people subtree in the ImageNet hierarchy

    Kaiyu Yang;Klint Qinami;Li Fei-Fei;Jia Deng

  • Crowdsourcing annotations for visual object detection

    Hao Su;Jia Deng;Li Fei-Fei

  • ImageNet Large Scale Visual Recognition Challenge

    Olga Russakovsky;Jia Deng;Hao Su;Jonathan Krause

Frequent Co-Authors

Li Fei-Fei
Li Fei-Fei Stanford University
Alexander C. Berg
Alexander C. Berg University of North Carolina at Chapel Hill
Rada Mihalcea
Rada Mihalcea University of Michigan–Ann Arbor
Li-Jia Li
Li-Jia Li Stanford University
Rahul Sukthankar
Rahul Sukthankar Google (United States)
Hao Su
Hao Su University of California, San Diego
Michael S. Bernstein
Michael S. Bernstein Stanford University
Kai Li
Kai Li Princeton University
Mingyan Liu
Mingyan Liu University of Michigan–Ann Arbor

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