Kristen Grauman

Associate Professor
Office: 
GDC 4.726
Phone: 
(512) 471-9521
Email: 
grauman [at] cs [dot] utexas [dot] edu
Research: 

Grauman is the Clare Boothe Luce Assistant Professor in the Department of Computer Science at the University of Texas at Austin. She earned her Ph.D. and S.M. degrees in Computer Science from MIT in 2006 and 2003, and her B.A. in Computer Science from Boston College in 2001.

Grauman's group focuses on problems in computer vision and machine learning, particularly visual recognition and large-scale image and video retrieval.  The goal of their research is to develop algorithms to categorize and detect objects, activities, or scenes, and large-scale visual search techniques that can rapidly identify the most relevant content within massive collections.

Selected Awards & Honors: 
  • AI's 10 to Watch, IEEE Intelligent Systems, 2011
  • National Science Foundation Faculty Early Career Development Award (NSF CAREER), 2008
  • Microsoft Research New Faculty Fellow, 2008
  • Best Student Paper Award, with Prateek Jain and Brian Kulis, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008
  • Frederick A. Howes Scholar Award in Computational Science, Krell Institute, 2007
  • Morris Joseph Levin Award, MIT Electrical Engineering and Computer Science Department, 2003
Selected Publications: 
  • Cost-Sensitive Active Visual Category Learning.  S. Vijayanarasimhan and K. Grauman.  International Journal of Computer Vision (IJCV), Vol. 91, No. 1, 2010.
  •  Object-Graphs for Context-Aware Category Discovery.  Y. J. Lee and K. Grauman.  In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010.
  • Fast Similarity Search for Learned Metrics.  B. Kulis, P. Jain, and K. Grauman.   IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 31, No. 12, 2009.
  • Foreground Focus: Unsupervised Learning from Partially Matching Images. Y. J. Lee and K. Grauman.  International Journal of Computer Vision (IJCV), Vol. 85, No. 2, 2009. 
  • The Pyramid Match Kernel: Efficient Learning with Sets of Features. K. Grauman and T. Darrell. Journal of Machine Learning Research (JMLR), 8 (Apr):  725-760, 2007.
Books: 
  • Visual Object Recognition, K. Grauman and B. Leibe.  Synthesis Lectures on Computer Vision.  Morgan and Claypool Publishers, 2011.
Professional Activities: 
  • Editorial Board, International Journal of Computer Vision
  • Area Chair for the IEEE International Conference on Computer Vision, 2009, 2011, and for the IEEE Conference on Computer Vision and Pattern Recognition, 2009 
  • Doctoral Consortium and Spotlights Chair, IEEE Conference on Computer Vision and Pattern Recognition, 2009, 2010
  • Tutorial co-instructor, Visual Object Recognition, for the Association for the Advancement of Artificial Intelligence (AAAI) 2008