Jitendra Malik
Arthur J. Chick Professor of EECS
University of California at Berkeley
CA 94720-1776
Email: malik@berkeley.edu
Prospective graduate students-you do not need to
contact me. Follow this link instead.
Office: Berkeley Way West
Current Ph.D. Students
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Arthur Allshire
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Hongsuk Choi
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Haoran Geng
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Toru Lin
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Vongani Maluleke
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Ilija Radosavovic
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Tara Sadjadpour
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Himanshu Gaurav Singh
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Neerja Thakkar
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Haozhi Qi
Current Postdoctoral Fellows
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Yutong Bai
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Boyi Li
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Jane Wu
Former Ph.D. Students
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Paul Kube
On Image Texture, 1988 , UC San Diego
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Pietro Perona
Finding Texture and Brightness Boundaries in Images,
1990, Caltech
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- * Niklas Nordstrom
Variational Edge Detection, 1990
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Object Recognition from Line Drawings, 1991
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Clark Olson
Fast Object recognition by Selectively Examining
Hypotheses, 1994, U W Bothell
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- * David G. Jones
Computational Models of Binocular Vision, 1991 ,
McMaster
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The Measurement and Use of Visual Motion, 1994
, TiVo
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Local Shape from Texture, 1994 , MIT
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- * Paul Debevec
Modeling and Rendering Architecture from Photographs,
1996 , USC ICT
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- * Christoph Bregler
Computational Models of Human Motion, 1998 , Google
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- * Jianbo Shi
Perceptual Organization and Image Segmentation, 1998
, University of Pennsylvania
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- * Chad Carson
Region-Based Image Querying and Classification, 1998
, Yahoo!
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- * Yizhou Yu
Modeling and Editing Real Scenes with Image-Based
Techniques, 2000 , Univ. Hong Kong
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- * Thomas K. Leung
Visual Texture Analysis, 2000 , Google
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- * Serge J. Belongie
Image Segmentation and Shape Matching for Object
Recognition, 2000 , Cornell Tech
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- * David Martin
An empirical approach to Grouping and Segmentation ,
2002 , Google
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Alyosha Efros
Data-driven Approaches for Texture and Motion, 2003
, UC Berkeley
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Laura Walker
Parts, Objects and Scenes: Computational Models and Psychophysics, 2003
, Apple
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Gregory Mori
Detecting and Localizing Human Figures, 2004
, Simon Fraser University
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Andras Ferencz
Finding Good Features for Object Recognition, 2005
, Mobileye Vision Technologies
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Charless Fowlkes
Measuring the Ecological Validity of Grouping and Figure-Ground Cues, 2005
, UC Irvine
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Alexander Berg
Shape Matching and Object Recognition, 2005
, UC Irvine
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Xiaofeng Ren
Probabilistic Models for Mid-Level Vision, 2006
, Alibaba
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Hao Zhang
Adapting Learning techniques for Visual Recognition, 2007,Two Sigma
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Andrea Frome
Learning Distance Functions for Exemplar-Based Object Recognition, 2007,Clarifai
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Michael Maire
Contour Detection and Image Segmentation,
2009,Chicago
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Ashley Eden
Finding Lost Children,
2010,Google
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Lubomir Bourdev
Poselets and Their Applications in High-Level Computer Vision,
2011, WaveOne
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Chetan Nandakumar
Invariance in Human Visual Perception,
2011
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Subhransu Maji
Algorithms and Representations for Visual Recognition,
2011, University of Massachussets, Amherst
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Chunhui Gu
Recognition Using Regions,
2012, Startup
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Jon Barron
Shapes, Paint, and Light,
2013, Google
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Bharath Hariharan
Beyond Bounding Boxes: Precise Localization of Objects in Images,
2015, Cornell University
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Georgia Gkioxari
Contextual Visual Recognition from Images and Videos,
2016, Caltech
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Abhishek Kar
Learning to Reconstruct 3D Objects,
2017, Meta
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Shubham Tulsiani
Learning Single-view 3D Reconstruction of Objects and Scenes,
2018, CMU
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Saurabh Gupta
Representations for Visually Guided Actions,
2018, FAIR / University of Illinois Urbana-Champaign
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Pulkit Agrawal
Computational Sensorimotor Learning,
2018, Massachusetts Institute of Technology
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Panna Felsen
Learning to Predict Human Behavior from Video,
2019, Startup
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Weicheng Kuo
Expert-Level Detection of Acute Intracranial Hemorrhage on Head Computed Tomography using Deep Learning,
2019, Google
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Ke Li
Advances in Machine Learning: Nearest Neighbor Search, Learning to Optimize and Generative Modeling,
2019, Simon Fraser University
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Zhe Cao
Perceiving 3D Humans and Objects in Motion,
2021, Google
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Jasmine Collins
Bridging the Gap between Humans and Machines in 3D Object Perception,
2023, Databricks
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Alexander (Sasha) Sax
Pretrained Representations for Embodied AI,
2023, FAIR, Meta, Inc.
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Shubham Goel
High-Fidelity 3D Mesh Reconstruction of Humans and Objects,
2023, Avataar
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Ashish Kumar
Rapid Adaptation for Robot Control,
2023, Tesla
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Karttikeya Mangalam
Perceiving People over Long Periods: Algorithms, Architectures & Datasets,
2023, startup
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Anastasios Angelopoulos
Statistical Guarantees for Black-Box Models,
2024,
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Jathushan Rajasegaran
Video Models of People and Pixels,
2025, FAIR, Meta
Former Postdoctoral fellows, excluding my former PhD students
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Roberto Manduchi
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Dieter Koller
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Quang-Tuan Luong
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David Beymer
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Camillo J. Taylor
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Phil McLauchlan
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Jana Kosecka
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Jan Puzicha
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Yair Weiss
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ZuWhan Kim
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Stella Yu
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Erik Learned-Miller
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Eran Borenstein
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Bjorn Ommer
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Pablo Arbelaez
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Thomas Brox
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Cees Snoek
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Ross Girshick
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Joao Carreira
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Katerina Fragkiadaki
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Christian Haene
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David Fouhey
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Angjoo Kanazawa
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Amir Roshan Zamir
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Andrea Bajcsy
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Georgios Pavlakos
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Shiry Ginosar
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Antonio Loquercio
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Lea Mueller
Jitendra Malik (malik@berkeley.edu)