Kristen Grauman

Kristen Grauman

Associate Professor

Department of Computer Science
University of Texas at Austin



CV         Publications         Code           Data        Short Bio         Press

Spring 2017 undergraduate course page

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. 


Slides from recent talks


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. 

My primary interests are visual recognition and visual search.  Recent and ongoing projects in the group consider large-scale image/video retrieval, unsupervised visual discovery, active learning, active recognition, first-person "egocentric" computer vision, interactive machine learning, image and video segmentation, activity recognition, vision and language, and video summarization.

                                                                                                                                                                                      
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
Dinesh Jayaraman (PhD expected 2017)
Aron Yu

Bo Xiong
Yu-Chuan Su
Ruohan Gao
Wei-Lin Hsiao
Tushar Nagarajan


Undergraduate Students Josh Kelle
Steven Chen



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).  Now a Masters student at University of Washington.
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 Assistant Professor at Ulsan National Institute of Science and Technology.
Adriana Kovashka Ph.D. (2014).  Now Assistant Professor at University of Pittsburgh.
Chao-Yeh Chen  Ph.D. (2016).  Now at Google.
Suyog Jain Ph.D. (2017).  Now at CognitiveScale.


Visitors and Postdocs
Devi Parikh Visiting Research Fellow, 2010-2011 Now Assistant Professor at Georgia Tech
Lu Zheng  Postdoctoral Research Fellow, 2012-2013Now Assistant Professor at City University of Hong Kong
Boqing Gong, Visiting PhD student from Prof. Fei Sha's lab at USC, 2012.  Now Assistant Professor at University of Central Florida
Hao Jiang, Visiting Professor from Boston College, 2015-2016.
Antonino Furnari, Visiting PhD student from Prof. Giovanni Maria Farinella's lab at Univ. of Catania, 2016.
Ziad Al-Halah, Visiting PhD student from Prof. Stiefelhagen's lab at Karlsruhe Institute of Technology, 2016.

Danna Gurari, Postdoctoral Research Fellow, 2015-2017.  Now Assistant Professor at UT Austin, School of Information




Professional Service Associate Editor in Chief: PAMI
Program Chair: CVPR 2015 Boston

Editorial Board: IJCV
Area Chair: CVPR 2009, ICCV 2009, ICCV 2011, ECCV 2012, ACCV 2012, NIPS 2012, CVPR 2013, ICCV 2013, ECCV 2014, ICML 2015, ICML 2016, ECCV 2016, ICCV 2017
Senior Area Chair: NIPS 2017

Program Committee / Reviewer: CVPR 2006, 2007, 2010, 2011, 2012, 2016; ICCV 2007, 2015; ECCV 2008, 2010; NIPS 2005, 2007, 2008, 2009, 2010
, 2015, AAAI 2011, 2014, SIGGRAPH 2014, 2017




Teaching
CS 378H: Honors Machine Learning and Vision (Spring 2017)
CS 381V: Visual Recognition (Fall 2016)
-- a Diversity course for CS PhD students
CS 381V: Visual Recognition (Spring 2016) -- a Diversity course for CS PhD students
CS 378H: Honors Machine Learning and Vision (Fall 2015)
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 Women’s Technology Program (MIT, Summer 2005)




Contact
Email:
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
D9500       
Austin, TX 78712-1757
Campus mail:
Mail code D9500





Funding
Office of Naval Research
National Science Foundation
Intel Labs
Amazon
Google




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 visiting researcher or internship positions available at this time, with or without funding.