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Kristen Grauman Department of
Computer Science
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| CV
Publications
Code
Data
Short
Bio 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. 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. WhittleSearch demo |
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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 |
Jaechul Kim (PhD expected in 2013) Adriana Kovashka Sung Ju Hwang (PhD expected in 2013) Chao-Yeh Chen Suyog Jain Dinesh Jayaraman Aron Yu |
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| Graduated Students | Sudheendra
Vijayanarasimhan
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). Now at Apex Clearing. |
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| Former Visitors |
Devi Parikh Visiting
Research Fellow, 2010-2011.
Now Assistant Professor at Virginia Tech Lu Zheng Postdoctoral Research Fellow, 2012-2013. Now Assistant Professor at City University of Hong Kong |
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| 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 |
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| Teaching |
Short
Course / Tutorial on Attributes at CVPR 2013 CS395T 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 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 Faculty Fellowship Google Research Henry Luce Foundation Sloan 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. I do not have summer internship positions at this time. |
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