Kristen Grauman

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).

Research Areas

Kristen's Publications

June 14, 2020

Research

Computer Vision

ViBE: Dressing for Diverse Body Shapes

Wei-Lin Hsiao, Kristen Grauman

June 14, 2020

June 14, 2020

Research

Computer Vision

EGO-TOPO: Environment Affordances from Egocentric Video

Tushar Nagarajan, Yanghao Li, Christoph Feichtenhofer, Kristen Grauman

June 14, 2020

August 23, 2020

Computer Vision

SoundSpaces: Audio-Visual Navigation in 3D Environments

Changan Chen, Unnat Jain, Carl Schissler, Sebastia Vicenc Amengual Gari, Ziad Al-Halah, Vamsi Krishna Ithapu, Philip Robinson, and Kristen Grauman

August 23, 2020

October 26, 2019

Research

Computer Vision

Co-Separating Sounds of Visual Objects

Ruohan Gao, Kristen Grauman

October 26, 2019

June 14, 2020

Research

Computer Vision

From Paris to Berlin: Discovering Fashion Style Influences Around the World

Ziad Al-Halah, Kristen Grauman

June 14, 2020