Chen Zhao is Research Scientist at King Abdullah University of Science and Technology (KAUST), and Leader of the Video Theme in Image and Video Understanding Lab (IVUL) with Prof. Bernard Ghanum. She obtained her Ph.D from Peking University (PKU), advised by Prof. Wen Gao. Her research interests include computer vision, deep learning, image/video understanding, image/video processing.
Ph.D. in Computer Science, 2016
Peking University, Beijing, China
Research Intern, 2016
National Institute of Informatics, Tokyo, Japan
CSC Joint Ph.D. student, 2012
University of Washington, Seattle, USA
B.Eng. in Software Engineering, 2010
Sichuan University, Chengdu, China
[2022-07-04] R-DFCIL and EASEE were accepted into ECCV'22!
[2022-06-21] Ego4D got into CVPR'22 Best Paper Finalist!
[2022-04-18] All Ego4D challenges are live now!
[2022-03-29] Ego4D was accepted to CVPR'22 as ORAL presentation!
[2022-03-29] MAD was accepted to CVPR'22!
[2021-10-15] Ego4D was released and paper on arxiv!
[2021-07-23] VSGN was accepted to ICCV'21!
[2021-05-20] I was recognized by CVPR’21 as Outstanding Reviewer.
[2020-10-13] I presented our work ThumbNet on ACM Multimedia 2020.
[2020-07-29] ThumbNet was accepted to ACM MM'20.
[2020-06-07] We won the 2‑nd place in the HACS’20 Weakly‑supervised action detection Challenge.
[2020-02-27] G-TAD was accepted to CVPR'20!
[2019-10-23] Our paper for YouTube-8M challenge got accepted as oral presentation in ICCV'19 Workshop!
[2019-10-12] We missed the gold medal by only 0.0004 in Kaggle’s 3rd YouTube‑8M Video Understanding Challenge; rank 9/11 out of 283 teams in the public/private leaderboards.