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
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
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
||Adriana Kovashka (Ph.D. expected, Summer 2014. Joining
University of Pittsburgh as Assistant Professor in Spring
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.
||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
|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
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)
||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 or visiting researcher positions at this time.