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Computer Science
USA
2026

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Best Scientists

D-Index
167
Citations
223570
World Ranking
953
National Ranking
565

Computer Science

D-Index
168
Citations
218780
World Ranking
18
National Ranking
9

Research.com Recognitions

  • 2026 - Research.com Computer Science in United States Leader Award
  • 2025 - Research.com Best Scientists Award
  • 2025 - Research.com Computer Science in United States Leader Award
  • 2023 - Research.com Computer Science in United States Leader Award
  • 2022 - Research.com Computer Science in United States Leader Award
  • 2016 - ACM AAAI Allen Newell Award For seminal contributions in multiple aspects of computer vision, computer graphics, and computational models of human vision.
  • 2015 - Member of the National Academy of Sciences
  • 2014 - IAPR King-Sun Fu Prize For contributions to fundamental algorithms and their theoretical underpinnings in computer vision.
  • 2013 - Fellow of the American Academy of Arts and Sciences
  • 2011 - Member of the National Academy of Engineering For contributions to computer vision and image analysis.
  • 2008 - ACM Fellow For contributions to computer vision.
  • 2006 - IEEE Fellow For contributions to computer vision and image analysis.

Overview

Jitendra Malik is a researcher affiliated with the University of California, Berkeley in the United States. Their work primarily spans the fields of Computer Science and Engineering, with extensive publications in subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Biomedical Engineering, and Aerospace Engineering.

Their research interests involve a range of specialized topics, including Human Pose and Action Recognition, Multimodal Machine Learning Applications, Advanced Vision and Imaging, Domain Adaptation and Few-Shot Learning, Advanced Neural Network Applications, Video Surveillance and Tracking Methods, and Reinforcement Learning in Robotics.

They have contributed to a significant number of recent publications. Notable papers include:

  • "MViTv2: Improved Multiscale Vision Transformers for Classification and Detection," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Ego4D: Around the World in 3,000 Hours of Egocentric Video," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "From Goals, Waypoints & Paths To Long Term Human Trajectory Forecasting," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Audiovisual SlowFast Networks for Video Recognition," 2020, arXiv (Cornell University)

Their frequent coauthors include Karttikeya Mangalam, Christoph Feichtenhofer, Ilija Radosavovic, Haozhi Qi, and Angjoo Kanazawa.

The most common venues for their works include:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Science Robotics
  • Lecture Notes in Computer Science

Throughout their career, they have been recognized with several awards and honors:

  • ACM AAAI Allen Newell Award (2016) - For seminal contributions in multiple aspects of computer vision, computer graphics, and computational models of human vision
  • Member of the National Academy of Sciences (2015)
  • IAPR King-Sun Fu Prize (2014) - For contributions to fundamental algorithms and their theoretical underpinnings in computer vision
  • Fellow of the American Academy of Arts and Sciences (2013)
  • Member of the National Academy of Engineering (2011) - For contributions to computer vision and image analysis
  • ACM Fellow (2008) - For contributions to computer vision
  • IEEE Fellow (2006) - For contributions to computer vision and image analysis

Best Publications

  • Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

    Ross Girshick;Jeff Donahue;Trevor Darrell;Jitendra Malik

  • Normalized cuts and image segmentation

    Jianbo Shi;J. Malik

  • Scale-space and edge detection using anisotropic diffusion

    P. Perona;J. Malik

  • A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics

    D. Martin;C. Fowlkes;D. Tal;J. Malik

  • Shape matching and object recognition using shape contexts

    S. Belongie;J. Malik;J. Puzicha

  • Contour Detection and Hierarchical Image Segmentation

    P Arbeláez;M Maire;C Fowlkes;J Malik

  • SlowFast Networks for Video Recognition

    Christoph Feichtenhofer;Haoqi Fan;Jitendra Malik;Kaiming He

  • Recovering high dynamic range radiance maps from photographs

    Paul E. Debevec;Jitendra Malik

  • Region-Based Convolutional Networks for Accurate Object Detection and Segmentation

    Ross Girshick;Jeff Donahue;Trevor Darrell;Jitendra Malik

  • Learning to detect natural image boundaries using local brightness, color, and texture cues

    D.R. Martin;C.C. Fowlkes;J. Malik

  • Modeling and rendering architecture from photographs: a hybrid geometry- and image-based approach

    Paul E. Debevec;Camillo J. Taylor;Jitendra Malik

  • Representing and Recognizing the Visual Appearance of Materials using Three-dimensional Textons

    Thomas Leung;Jitendra Malik

  • Blobworld: image segmentation using expectation-maximization and its application to image querying

    C. Carson;S. Belongie;H. Greenspan;J. Malik

  • End-to-End Recovery of Human Shape and Pose

    Angjoo Kanazawa;Michael J. Black;David W. Jacobs;Jitendra Malik

  • Hypercolumns for object segmentation and fine-grained localization

    Bharath Hariharan;Pablo Arbelaez;Ross Girshick;Jitendra Malik

  • Spectral grouping using the Nystrom method

    C. Fowlkes;S. Belongie;F. Chung;J. Malik

  • Learning Rich Features from RGB-D Images for Object Detection and Segmentation

    Saurabh Gupta;Ross B. Girshick;Pablo Andrés Arbeláez;Pablo Andrés Arbeláez;Jitendra Malik

  • Semantic contours from inverse detectors

    Bharath Hariharan;Pablo Arbelaez;Lubomir Bourdev;Subhransu Maji

  • Large Displacement Optical Flow: Descriptor Matching in Variational Motion Estimation

    T Brox;J Malik

  • Normalized cuts and image segmentation

    Jianbo Shi;J. Malik

  • Recovering high dynamic range radiance maps from photographs

    Unknown

  • A Database of Human Segmented Natural Images and its Application to

    David R. Martin;Charless Fowlkes;Doron Tal;Jitendra Malik

Frequent Co-Authors

Pablo Arbeláez
Pablo Arbeláez Universidad de Los Andes
Charless C. Fowlkes
Charless C. Fowlkes University of California, Irvine
Saurabh Gupta
Saurabh Gupta University of Illinois at Urbana-Champaign
Shubham Tulsiani
Shubham Tulsiani Carnegie Mellon University
Ross Girshick
Ross Girshick Facebook (United States)
Serge Belongie
Serge Belongie University of Copenhagen
Amir Roshan Zamir
Amir Roshan Zamir Stanford University
Sergey Levine
Sergey Levine University of California, Berkeley
Alexei A. Efros
Alexei A. Efros University of California, Berkeley

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