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Kristen Grauman Clare
Boothe
Luce Assistant Professor Department of
Computer
Science
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| CV
Publications
Code
Data
I am an assistant professor in the Department of Computer Science at the University of Texas at Austin, where I lead the UT-Austin Computer Vision Group. I received my Ph.D. from MIT in the Computer Science and Artificial Intelligence Laboratory in 2006. Our Synthesis Lecture on Visual Object Recognition is now available: Visual Object Recognition, Kristen Grauman and Bastian Leibe, Synthesis Lectures on Artificial Intelligence and Machine Learning, April 2011, Vol. 5, No. 2, Pages 1-181. |
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| Research |
My
research
interests
are
in
computer
vision
and
machine
learning.
In
general,
the
goal
of
computer
vision
is
to
develop
the
algorithms and representations that will allow a
computer to autonomously analyze visual
information. I am
especially
interested in learning and recognizing visual object
categories, and
scalable methods for content-based retrieval and visual
search. Large amounts of interconnected visual data (images, videos) are readily available---but we don’t yet have the tools to easily access and analyze them. My group’s research aims to remove this disparity, and transform how we retrieve and evaluate visual information. This requires robust methods to recognize objects, actions, and scenes, and to automatically organize and search images and videos based on their content. Key research issues that we are exploring are scalable search for meaningful similarity metrics, unsupervised visual discovery, and cooperative learning between machine and human vision systems. Vision and learning reading group page Publications page with links to code, slides, and project pages. Or, sorted [by year] [by topic]. Code download page Datasets download page |
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| Graduate
Students |
Yong Jae Lee Jaechul Kim Adriana Kovashka Sung Ju Hwang Chao-Yeh Chen |
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| Graduated Students | Sudheendra
Vijayanarasimhan
Ph.D. (2011),
Bert Kay Dissertation Award from the Dept of
CS. Now at
Google. Jeff Donahue, B.S., Turing Scholars Honors Thesis (2011). Now a Ph.D. student at UC-Berkeley. Andy Luong, B.S., Turing Scholars Honors Thesis (2011), Best Undergraduate Thesis Award. Now an M.S. student at UT-Austin. |
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| Professional Service | Area
Chair:
CVPR
2009,
ICCV
2009, ICCV 2011, ECCV 2012, ACCV 2012 Journal Editorial Board: IJCV Program Committee / Reviewer: CVPR 2006, 2007, 2010, 2011, 2012; ICCV 2007; ECCV 2008, 2010; NIPS 2005, 2007, 2008, 2009, 2010 |
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| Teaching |
CS
395T
Visual
Recognition (Fall 2011) -- a Diversity course for CS
PhD
students CS 376: Computer Vision (Spring 2011) CS 395T: (Special Topics in) Computer Vision : Object Recognition (Spring 2010) CS 378: Computer Vision (Fall 2009) CS 395T: Visual Recognition and Search (Spring 2009) CS 378: Computer Vision (Fall 2008) AAAI 2008 Tutorial on Visual Recognition, co-taught with Bastian Leibe (July 2008) CS 395T: Visual Recognition and Search (Spring 2008) CS 378 / 395T: Computer Vision (Fall 2007) CS 395T: Object Recognition (Spring 2007) Introduction to Computer Science, for the Women’s Technology Program (MIT, Summer 2005) |
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| Contact |
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| Funding |
Office
of
Naval
Research National Science Foundation DARPA Computer Science Study Group DARPA Microsoft Research Google Research Henry Luce Foundation |
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| Note to prospective students | If you are a prospective student interested in computer vision research at UT-Austin, please read about our graduate admissions process. It is not necessary to contact me. Unfortunately, I am not able to respond to emails about applications to our graduate program. If you are applying to the CS department and are interested in my research group, please state this in your statement of purpose. | ||||||||||