Kristen Grauman
Professor
Kristen Grauman is a Full Professor in the Department of Computer Science where she leads the UT Computer Vision Group. Her research is in computer vision and machine learning. She is a Fellow of AAAI, an Alfred P. Sloan Research Fellow, and a recipient of the Presidential Early Career Award for Scientists and Engineers, the 2013 Computers and Thought Award, and several best paper awards. Prof. Grauman serves as Associate Editor-in-Chief for the IEEE Transactions on Pattern Analysis and Machine Intelligence. She was elected to the Academy of Distinguished Teachers in 2017, and received her B.A. from Boston College and her Ph.D. from MIT.
Research
Research Interests:
- Computer vision
- Machine learning
Current Research:
Within computer vision and machine learning, Prof. Grauman's primary interests are visual recognition, image and video search, video analysis, first-person vision, embodied and multi-modal perception, and interactive machine learning.
Research Labs & Affiliations:
Computer Vision Group Electrical and Computer Engineering Department GSC
Select Publications
2.5D Visual Sound. R. Gao and K. Grauman. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, June 2019.
Discovering Important People and Objects for Egocentric Video Summarization. Y. J. Lee, J. Ghosh, and K. Grauman. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Providence, RI, June 2012.
Kernelized Locality-Sensitive Hashing. B. Kulis and K. Grauman. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 34, No. 6, June 2012.
Relative Attributes. D. Parikh and K. Grauman. In Proceedings of the International Conference on Computer Vision (ICCV), Barcelona, Spain, November 2011. (Marr Prize, ICCV Best Paper Award)
The Pyramid Match Kernel: Discriminative Classification with Sets of Image Features. K. Grauman and T. Darrell. In Proceedings of the IEEE International Conference on Computer Vision (ICCV), Beijing, China, October 2005. (Helmholtz Prize, test of time award)
Awards & Honors
2019 -
AAAI Fellow
2018 -
J. K. Aggarwal Prize, International Association for Pattern Recognition
2017 -
Helmholtz Prize
2017 -
UT Austin Academy of Distinguished Teachers
2016 -
Best Paper Award, Asian Conference on Computer Vision
2014 -
Presidential Early Career Award for Scientists and Engineers
2013 -
Computers and Thought Award, International Joint Conferences on Artificial Intelligence
2013 -
Pattern Analysis and Machine Intelligence Young Researcher Award
2012 -
Alfred P. Sloan Research Fellow
2011 -
Marr Prize
