no code implementations • 7 Oct 2023 • Jie Zhu, Yuan Zong, Jingang Shi, Cheng Lu, Hongli Chang, Wenming Zheng
This paper focuses on the research of micro-expression recognition (MER) and proposes a flexible and reliable deep learning method called learning to rank onset-occurring-offset representations (LTR3O).
no code implementations • 15 Mar 2023 • Yimin Yin, Siliang He, Renye Zhang, Hongli Chang, Xu Han, Jinghua Zhang
This paper collects 120 relevant papers to summarize the development of iris recognition based on deep learning.
1 code implementation • 31 Dec 2020 • Binbin Guo, Yuan Mei, Danyang Xiao, Weigang Wu, Ye Yin, Hongli Chang
To achieve model personalization while maintaining generalization, in this paper, we propose a new approach, named PFL-MoE, which mixes outputs of the personalized model and global model via the MoE architecture.