Kristen Grauman

RESEARCH SCIENTIST | AUSTIN, UNITED STATES

Kristen Grauman is a Research Scientist in Facebook AI Research (FAIR) and a Professor in the Department of Computer Science at the University of Texas at Austin. Her research in computer vision and machine learning focuses on visual recognition, video, egocentric perception, and embodied AI. She received her Ph.D. at MIT in 2006. She is an IEEE Fellow, AAAI Fellow, Sloan Fellow, and recipient of the Computers and Thought Award. She and her collaborators have been recognized with several best paper awards, including a 2011 Marr Prize and a 2017 Helmholtz Prize. She served as Program Chair of NeurIPS 2018 and CVPR 2015 and is an Associate Editor-in-Chief for the Transactions on Pattern Analysis and Machine Intelligence (PAMI).