Anastasios Angelopoulos
Toru Lin
Vongani Maluleke
Ilija Radosavovic
Jathushan Rajasegaran
Himanshu Gaurav Singh
Neerja Thakkar
Haozhi Qi
Anastasios Angelopoulos
Toru Lin
Vongani Maluleke
Ilija Radosavovic
Jathushan Rajasegaran
Himanshu Gaurav Singh
Neerja Thakkar
Haozhi Qi
Boyi Li
Lea Mueller
Jane Wu
Paul Kube
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Pietro Perona
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1990, Caltech
Niklas Nordstrom
Variational Edge Detection, 1990
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Object Recognition from Line Drawings, 1991
Clark Olson
Fast Object recognition by Selectively Examining
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Joseph Weber
The Measurement and Use of Visual Motion, 1994
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Ruth Rosenholtz
Local Shape from Texture, 1994 , MIT
Paul Debevec
Modeling and Rendering Architecture from Photographs,
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Christoph Bregler
Computational Models of Human Motion, 1998 , Google
Jianbo Shi
Perceptual Organization and Image Segmentation, 1998
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Chad Carson
Region-Based Image Querying and Classification, 1998
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Modeling and Editing Real Scenes with Image-Based
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Laura Walker
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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
, UNC Chapel Hill
Xiaofeng Ren
Probabilistic Models for Mid-Level Vision, 2006
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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, Facebook AI Research
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Learning to Reconstruct 3D Objects,
2017, Google
Shubham Tulsiani
Learning Single-view 3D Reconstruction of Objects and Scenes,
2018, Facebook AI Research
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
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Expert-Level Detection of Acute Intracranial Hemorrhage on Head Computed Tomography using Deep Learning,
2019, Google Brain
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
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
Jitendra Malik (malik@eecs.berkeley.edu)