I am an Associate 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.
We are offering a Short Course / Tutorial on Attributes at CVPR 2013.
Our Synthesis Lecture on Visual Object Recognition is here: 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.
||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
Large amounts of interconnected visual data (images, videos) are readily available---but we donít yet have the tools to easily access and analyze them. My groupís 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
||Jaechul Kim (PhD expected in 2013)
Sung Ju Hwang (PhD expected in 2013)
Ph.D. (2011), Bert Kay Dissertation Award from the Dept of
CS. Now at Google.
Yong Jae Lee Ph.D. (2012). Now a Postdoctoral Associate at CMU in the Robotics Institute.
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 at Microsoft.
Lucy Liang, B.S., Turing Scholars Honors Thesis (2012), Best Undergraduate Thesis Award. Now at Microsoft.
Nona Sirakova, B.S., Turing Scholars Honors Thesis (2013)
Tomas McCandless, B.S. Turing Scholars Honors Thesis (2013)
Sunil Bandla, M.S. (2013)
||Devi Parikh Visiting
Research Fellow, 2010-2011
Lu Zheng Postdoctoral Research Fellow, 2012-2013
|Professional Service||Area Chair: CVPR 2009, ICCV 2009, ICCV 2011, ECCV
2012, ACCV 2012, NIPS 2012, CVPR 2013, ICCV 2013
Journal Editorial Board: IJCV
Program Committee / Reviewer: CVPR 2006, 2007, 2010, 2011, 2012; ICCV 2007; ECCV 2008, 2010; NIPS 2005, 2007, 2008, 2009, 2010
Visual Recognition (Fall 2012) -- a Diversity
course for CS PhD students
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 Womenís Technology Program (MIT, Summer 2005)
||Office of Naval Research
National Science Foundation
DARPA Computer Science Study Group
Microsoft Research Faculty Fellowship
Henry Luce Foundation
|Note to prospective students||If you are a prospective student interested in
computer vision research at UT-Austin, please read about
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.
I do not have summer internship positions at this time.