Kristen Grauman

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).

Kristen's Publications

August 21, 2020

RESEARCH

COMPUTER VISION

ViBE: Dressing for Diverse Body Shapes

We introduce ViBE, a VIsual Body-aware Embedding that captures clothing’s affinity with different body shapes

Wei-Lin Hsiao, Kristen Grauman

August 21, 2020

August 21, 2020

RESEARCH

COMPUTER VISION

EGO-TOPO: Environment Affordances from Egocentric Video

We introduce a model for environment affordances that is learned directly from egocentric video.

Tushar Nagarajan, Yanghao Li, Christoph Feichtenhofer, Kristen Grauman

August 21, 2020

August 21, 2020

COMPUTER VISION

SoundSpaces: Audio-Visual Navigation in 3D Environments

Moving around in the world is naturally a multisensory experience, but today’s embodied agents are deaf—restricted to solely their visual perception of the environment. We introduce audio-visual…

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

August 21, 2020

August 21, 2020

RESEARCH

COMPUTER VISION

Co-Separating Sounds of Visual Objects

We introduce a co-separation training paradigm that permits learning object-level sounds from unlabeled multi-source videos.

Ruohan Gao, Kristen Grauman

August 21, 2020

August 21, 2020

RESEARCH

COMPUTER VISION

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

The evolution of clothing styles and their migration across the world is intriguing, yet difficult to describe quantitatively.

Ziad Al-Halah, Kristen Grauman

August 21, 2020