Kristen Grauman

Associate Professor

Department of Computer Science
University of Texas at Austin

CV         Publications         Code           Data        Short Bio         Press

We are organizing a workshop at ECCV 2014 on Human-Machine Communication for Visual Recognition and Search (HMCV).  Abstracts are due July 15.

We are organizing a workshop at ECCV 2014 on Storytelling with Images and Videos (VisStory).  Abstracts are due July 6.

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. 

Synthesis Lecture on Visual Object Recognition

WhittleSearch for shoe shopping with visual search (patent pending)
WhittleSearch demo for faces, shoes, scenes 

Slides from recent talks International Workshop on Computer Vision (IWCV) in Alghero, Italy 2014 [pdf]
ICCV 2013 Workshop on Wearable Computer Vision Systems, Sydney 2013 [pdf]
ICCV 2013 Workshop on Visual Domain Adaptation and Dataset Bias, Sydney 2013 [pdf]
IJCAI Computers and Thought Award talk, Beijing 2013  [pdf]

ENS/INRIA Visual Recognition and Machine Learning Summer School, Paris 2013  [pdf]
CVPR Workshop on Visual Analysis Beyond Semantics, Portland 2013  [pdf]
Microsoft Research Faculty Summit, Redmond 2013  [pdf]

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 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
Student theses

Graduate Students
Adriana Kovashka (Ph.D. expected, Summer 2014.  Joining University of Pittsburgh as Assistant Professor in Spring 2015)
Chao-Yeh Chen
Suyog Jain 
Dinesh Jayaraman
Aron Yu

Bo Xiong

Graduated Students Sudheendra Vijayanarasimhan Ph.D. (2011), Bert Kay Dissertation Award from the Dept of CS.  Now at Google Research.
Yong Jae Lee Ph.D. (2012) Postdoctoral Associate at UC-Berkeley.  Now Assistant Professor at UC-Davis.
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.
Jaechul Kim Ph.D. (2013).  Now at Amazon Research.
Sung Ju Hwang  Ph.D. (2013).  Now postdoc at Disney Research.  Joining Ulsan National Institute of Science and Technology as Assistant Professor in Fall 2014.

Former Visitors
Devi Parikh Visiting Research Fellow, 2010-2011 Now Assistant Professor at Virginia Tech
Lu Zheng  Postdoctoral Research Fellow, 2012-2013Now Assistant Professor at City University of Hong Kong

Professional Service Program Chair: CVPR 2015
Area Chair: CVPR 2009, ICCV 2009, ICCV 2011, ECCV 2012, ACCV 2012, NIPS 2012, CVPR 2013, ICCV 2013, ECCV 2014

Journal Editorial Board: IJCV
Program Committee / Reviewer: CVPR 2006, 2007, 2010, 2011, 2012; ICCV 2007; ECCV 2008, 2010; NIPS 2005, 2007, 2008, 2009, 2010
, AAAI 2014

CS 343H: Honors Artificial Intelligence (Spring 2014)
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 Womenís Technology Program (MIT, Summer 2005)

grauman, at sign, cs dot utexas dot edu (best way to contact me)
Campus office:
GDC 4.726 (south building)
Mailing address:
Department of Computer Science
University of Texas at Austin       
2317 Speedway
Austin, TX 78712-1757
Campus mail:
Mail code D9500

Office of Naval Research
National Science Foundation
DARPA Computer Science Study Group
Microsoft Research Faculty Fellowship
Google Research
Henry Luce Foundation
Sloan Foundation

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 or visiting researcher positions at this time.