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Kristen Grauman
Computer Vision
Machine Learning
Visual Recognition
Image Retrieval
Video Understanding
About
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 Performance Summary
1979-2026
Active Research Span
First Recorded Paper
Kristen Grauman
Year:
1979
Citations:
0
Venue:
age 41 (42), 1
Latest Recorded Paper
Human detectors are surprisingly powerful reward models
Year:
2026
Citations:
0
Venue:
arXiv preprint arXiv:2601.14037
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.
Publication Venues and Collaboration
Journal, Conference, and Book Publication Breakdown
Top Coauthors
Grauman
Chen
Research Impact by Period
Papers
22
Citations
95
Avg. Citations / Paper
4.3
H-Index
5
Papers
105
Citations
8431
Avg. Citations / Paper
80.3
H-Index
42
Papers
101
Citations
11810
Avg. Citations / Paper
116.9
H-Index
46
Papers
87
Citations
17129
Avg. Citations / Paper
196.9
H-Index
51
Papers
30
Citations
13311
Avg. Citations / Paper
443.7
H-Index
22
Papers
9
Citations
1322
Avg. Citations / Paper
146.9
H-Index
6
Papers
1
Citations
0
Avg. Citations / Paper
0
H-Index
0
Contact and Professional Links
Detected Research Keywords
Neural Information Processing
Information Processing Systems
Advances Neural Information
Unsupervised Domain Adaptation
Geodesic Flow Kernel
Audio Visual Navigation
Visual Object Recognition
Flow Kernel Unsupervised
Kernel Unsupervised Domain
Pyramid Match Kernel