Jitendra Malik

Office: Berkeley Way West

Brief Bio

Curriculum Vitae

Google Scholar

Teaching Spring 2025: CS 280 Computer Vision

Teaching Fall 2024: CS 294-277 Robots That Learn

Selected Talks

Research Projects before 2015

Publications before 2010

Academic Family Tree as of 2010

Current Ph.D. Students

Arthur Allshire

Hongsuk Choi

Haoran Geng

Toru Lin

Vongani Maluleke

Ilija Radosavovic

Tara Sadjadpour

Himanshu Gaurav Singh

Neerja Thakkar

Haozhi Qi

Current Postdoctoral Fellows

Yutong Bai

Boyi Li

Jane Wu

Former Ph.D. Students

Paul Kube On Image Texture, 1988 , UC San Diego

Pietro Perona Finding Texture and Brightness Boundaries in Images, 1990, Caltech

Niklas Nordstrom Variational Edge Detection, 1990

Ziv Gigus Object Recognition from Line Drawings, 1991

Clark Olson Fast Object recognition by Selectively Examining Hypotheses, 1994, U W Bothell

David G. Jones Computational Models of Binocular Vision, 1991 , McMaster

Joseph Weber The Measurement and Use of Visual Motion, 1994 , TiVo

Ruth Rosenholtz Local Shape from Texture, 1994 , MIT

Paul Debevec Modeling and Rendering Architecture from Photographs, 1996 , USC ICT

Christoph Bregler Computational Models of Human Motion, 1998 , Google

Jianbo Shi Perceptual Organization and Image Segmentation, 1998 , University of Pennsylvania

Chad Carson Region-Based Image Querying and Classification, 1998 , Yahoo!

Yizhou Yu Modeling and Editing Real Scenes with Image-Based Techniques, 2000 , Univ. Hong Kong

Thomas K. Leung Visual Texture Analysis, 2000 , Google

Serge J. Belongie Image Segmentation and Shape Matching for Object Recognition, 2000 , Cornell Tech

David Martin An empirical approach to Grouping and Segmentation , 2002 , Google

Alyosha Efros Data-driven Approaches for Texture and Motion, 2003 , UC Berkeley

Laura Walker Parts, Objects and Scenes: Computational Models and Psychophysics, 2003 , Apple

Gregory Mori Detecting and Localizing Human Figures, 2004 , Simon Fraser University

Andras Ferencz Finding Good Features for Object Recognition, 2005 , Mobileye Vision Technologies

Charless Fowlkes Measuring the Ecological Validity of Grouping and Figure-Ground Cues, 2005 , UC Irvine

Alexander Berg Shape Matching and Object Recognition, 2005 , UC Irvine

Xiaofeng Ren Probabilistic Models for Mid-Level Vision, 2006 , Alibaba

Hao Zhang Adapting Learning techniques for Visual Recognition, 2007,Two Sigma

Andrea Frome Learning Distance Functions for Exemplar-Based Object Recognition, 2007,Clarifai

Michael Maire Contour Detection and Image Segmentation, 2009,Chicago

Ashley Eden Finding Lost Children, 2010,Google

Lubomir Bourdev Poselets and Their Applications in High-Level Computer Vision, 2011, WaveOne

Chetan Nandakumar Invariance in Human Visual Perception, 2011

Subhransu Maji Algorithms and Representations for Visual Recognition, 2011, University of Massachussets, Amherst

Chunhui Gu Recognition Using Regions, 2012, Startup

Jon Barron Shapes, Paint, and Light, 2013, Google

Bharath Hariharan Beyond Bounding Boxes: Precise Localization of Objects in Images, 2015, Cornell University

Georgia Gkioxari Contextual Visual Recognition from Images and Videos, 2016, Caltech

Abhishek Kar Learning to Reconstruct 3D Objects, 2017, Meta

Shubham Tulsiani Learning Single-view 3D Reconstruction of Objects and Scenes, 2018, CMU

Saurabh Gupta Representations for Visually Guided Actions, 2018, FAIR / University of Illinois Urbana-Champaign

Pulkit Agrawal Computational Sensorimotor Learning, 2018, Massachusetts Institute of Technology

Panna Felsen Learning to Predict Human Behavior from Video, 2019, Startup

Weicheng Kuo Expert-Level Detection of Acute Intracranial Hemorrhage on Head Computed Tomography using Deep Learning, 2019, Google

Ke Li Advances in Machine Learning: Nearest Neighbor Search, Learning to Optimize and Generative Modeling, 2019, Simon Fraser University

Zhe Cao Perceiving 3D Humans and Objects in Motion, 2021, Google

Jasmine Collins Bridging the Gap between Humans and Machines in 3D Object Perception, 2023, Databricks

Alexander (Sasha) Sax Pretrained Representations for Embodied AI, 2023, FAIR, Meta, Inc.

Shubham Goel High-Fidelity 3D Mesh Reconstruction of Humans and Objects, 2023, Avataar

Ashish Kumar Rapid Adaptation for Robot Control, 2023, Tesla

Karttikeya Mangalam Perceiving People over Long Periods: Algorithms, Architectures & Datasets, 2023, startup

Anastasios Angelopoulos Statistical Guarantees for Black-Box Models, 2024,

Jathushan Rajasegaran Video Models of People and Pixels, 2025, FAIR, Meta

Former Postdoctoral fellows, excluding my former PhD students

Roberto Manduchi

Dieter Koller

Quang-Tuan Luong

David Beymer

Camillo J. Taylor

Phil McLauchlan

Jana Kosecka

Jan Puzicha

Yair Weiss

ZuWhan Kim

Stella Yu

Erik Learned-Miller

Eran Borenstein

Bjorn Ommer

Pablo Arbelaez

Thomas Brox

Cees Snoek

Ross Girshick

Joao Carreira

Katerina Fragkiadaki

Christian Haene

David Fouhey

Angjoo Kanazawa

Amir Roshan Zamir

Andrea Bajcsy

Georgios Pavlakos

Shiry Ginosar

Antonio Loquercio

Lea Mueller