Chao-Yuan Wu

Chao-Yuan is a Research Scientist at Facebook AI Research (FAIR), Menlo Park. His research interests are primarily in computer vision and machine learning, with a focus on video understanding. He did his Ph.D. in CS at UT Austin, where he was advised by Philipp Krähenbühl. He also holds a M.S. in ML at CMU, where he worked with Alex Smola.

Chao-Yuan's Publications

June 16, 2020

RESEARCH

COMPUTER VISION

A Multigrid Method for Efficiently Training Video Models

Training competitive deep video models is an order of magnitude slower than training their counterpart image models. Slow training causes long research cycles, which…

Chao-Yuan Wu, Ross Girshick, Kaiming He, Christoph Feichtenhofer, Philipp Krähenbühl

June 16, 2020

June 18, 2019

RESEARCH

COMPUTER VISION

Long-Term Feature Banks for Detailed Video Understanding

To understand the world, we humans constantly need to relate the present to the past, and put events in context. In this paper, we enable existing video models to do the same. We propose a long-term feature bank—supportive information extracted…

Chao-Yuan Wu, Christoph Feichtenhofer, Haoqi Fan, Kaiming He, Philipp Krähenbühl, Ross Girshick

June 18, 2019

October 25, 2019

RESEARCH

Fashion++: Minimal Edits for Outfit Improvement

Given an outfit, what small changes would most improve its fashionability? This question presents an intriguing new vision challenge. We introduce Fashion++, an approach that proposes minimal adjustments to a full-body clothing outfit that will…

Wei-Lin Hsiao, Isay Katsman, Chao-Yuan Wu, Devi Parikh, Kristen Grauman

October 25, 2019