I am Peisen Zhao,
a PhD student in MediaBrain ,
Shanghai Jiao Tong University.
Profiles
I received my B.E. degree from the University of Electronic Science and Technology of China (UESTC), Chengdu, China, in 2016. I have been working towards a Ph.D. at the Cooperative Meidianet Innovation Center (CMIC), Shanghai Jiao Tong University, since 2016. My research interests include action recognition, action localization, and video analysis.
Chen Ju, Peisen Zhao, Ya Zhang, Yanfeng Wang, and Qi Tian, "Point-Level Temporal Action Localization: Bridging Fully-supervised Proposals to Weakly-supervised Losses", Dec 2020.
Privileged Knowledge Distillation for Online Action Detection [arXiv preprint]
Peisen Zhao, Lingxi Xie, Ya Zhang, Yanfeng Wang and Qi Tian, "Privileged Knowledge Distillation for Online Action Detection", Nov 2020.
Bottom-Up Temporal Action Localization with Mutual Regularization [ECCV2020]
Peisen Zhao, Lingxi Xie, Chen Ju, Ya Zhang, Yanfeng Wang and Qi Tian, "Bottom-Up Temporal Action Localization with Mutual Regularization", in European Conference on Computer Vision (ECCV, Acceptance Rate ~ 27%), Glasgow, Scotland, UK, 2020.
Universal-to-Specific Framework for Complex Action Recognition [TMM]
Peisen Zhao, Lingxi Xie, Ya Zhang and Qi Tian, "Universal-to-Specific Framework for Complex Action Recognition", to appear, in IEEE Transactions on Multimedia (TMM), 2020.
Comparision of Temporal Action Localization (TAL) results on THUMOS14 in terms of the Fully-supervised, Weakly-supervised, Point-Level-supervised, and Online settings.