Kristen Grauman

http://www.cs.utexas.edu/~grauman/

CV         Publications         Code           Data        Short Bio         Press 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	AAAI 2017 Invited Talk, Feb 2017 "Learning How to Move and Where to Look from Unlabeled Video" [pdf] GroupSight workshop on Human Computation for Image and Video Analysis, HCOMP, Nov 2016. "Active and Interactive Image and Video Segmentation"  [pdf] SUNw: Scene Understanding Workshop, CVPR, June 2016 "Action and Interaction for Scene Understanding" [pdf] Moving Cameras Meet Video Surveillance: From Body-Borne Cameras to Drones, CVPR, June 2016 "Summarizing Long First-Person Videos" [pdf] CVPR Workshop on Language and Vision, Boston 2015 "Learning the Right Thing with Visual Attributes" [pdf] ICCV 2013 Workshop on Visual Domain Adaptation and Dataset Bias, Sydney 2013 "Adaptation for Objects and Attributes" [pdf]
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
Graduated Students	Sudheendra Vijayanarasimhan Ph.D. (2011), Bert Kay Dissertation Award from the Dept of CS.  Now at Google Research. Yong Jae LeePh.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 Microsoft. Jaechul Kim Ph.D. (2013).  Now at Amazon Research. Sung Ju HwangPh.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. Josh Kelle, M.S. (2017).  Now at Pinterest. Steven Chen, B.S., Turing Scholars Honors Thesis (2017).  Now a Masters student at Stanford University.
Visitors and Postdocs	Devi Parikh Visiting Research Fellow, 2010-2011.  Now Assistant Professor at Georgia Tech Lu Zheng  Postdoctoral Research Fellow, 2012-2013.  Now Assistant Professor at City University of * 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.