Learning to Read Facial Expressions
报告题目：Learning to Read Facial Expressions
报告人：Wen-Huang Cheng, Professor Department of Computer Science and Information Engineering, National Taiwan University
时间：11月27日（周一）上午 10:00 -11:30
The field of facial behavior analysis stands at the forefront of advancing intelligent systems, with applications that span clinical diagnostics, mental health assessment, customer service optimization, strategic business negotiations, and law enforcement. At the heart of this domain is the nuanced study of facial expressions, particularly micro-expressions, which are fleeting and subtle in nature, often lasting no more than half a second and characterized by minimal but significant facial movements. This research talk will delve into the intricacies of deciphering facial expressions, highlighting the complexities associated with micro-expressions due to their ephemeral nature and the low-amplitude facial cues they present. We will present our latest findings and methodologies that aim to enhance the accuracy and sensitivity of expression recognition technologies.
Wen-Huang Cheng is Professor with the Department of Computer Science and Information Engineering, National Taiwan University. His current research interests include multimedia, computer vision, and machine learning. He has actively participated in international events and played important leading roles in prestigious journals and conferences and professional organizations, including Editor-in-Chief for IEEE CTSoc News on Consumer Technology, Senior Editor for IEEE Consumer Electronics Magazine, Associate Editor for IEEE Transactions on Multimedia (T-MM), General Chair for ACM MMAsia (2023), IEEE ICME (2022) and ACM ICMR (2021), Chair for IEEE Multimedia Systems and Applications (MSA) technical committee, governing board member for IAPR. He has received numerous research and service awards, including the Best Paper Award of 2021 IEEE ICME and the Outstanding Associate Editor Award of IEEE T-MM (2021 and 2020, twice). He is IEEE Fellow, IET Fellow, ACM Distinguished Member, and CCF Distinguished Member.