Moderator: Prof. YUE Yutao
AI Thrust, HKUST(GZ)
研讨会信息
🎤 Speaker: Prof. Hui Yu,
Professor, University of Glasgow, UK
📰 Title: Facial Sensing for Social Signal Understanding
⏰ Time: 11:00 – 12:00 noon,
📆 Date: Nov. 21, 2025 (Friday)
📍 Venue: E3-202, GZ Campus
研讨会概要
Abstract
The human face is a powerful channel for non-verbal communication, transmitting a rich stream of social and emotional signals. It represents one of the principal features for natural interaction. Computational and psychophysical research has identified a wide range of social signals conveyed by the face. However, it still faces challenges to fully uncover and understand social signals from human faces. It is thus essential to develop computational model allowing to perceive these social signals from images and video streams for various applications such as affective computing, social robotics, social interaction, social cognition, and cognitive neuroimaging. This talk discusses how automated facial sensing is revolutionizing our ability to understand these complex cues. We will move beyond basic emotion classification to examine how computational models, particularly through advanced 4D facial sensing, decode nuanced social constructs from dynamic behavior. A key focus will be the unique understanding of social signals enabled by 3D and 4D facial data, which captures subtle facial movements. We will highlight transformative applications across diverse fields, such as enhancing human-computer interaction and intelligent virtual agents (IVAs) by creating more responsive and empathetic systems. The discussion will also address the critical cultural considerations and methodological challenges inherent in this field, from building culturally unbiased models to ensuring ethical deployment. This presentation will ultimately discuss how these data-driven insights are illuminating the foundational elements of human social behavior.
分享者简介
Prof. Hui Yu
Professor,
University of Glasgow, UK
Hui Yu is a Professor with the University of Glasgow, UK. He leads the Visual Computing and Social Robotics Group at the university. His research interests lie in visual and cognitive computing as well as machine learning with applications to social signal analysis, social vision, ocial robot, human-machine interaction, intelligent vehicle, and video analysis. Professor Yu’s research work has led to several awards and successful collaboration with worldwide institutions and industries. He is the Associate Vice President of IEEE Systems, Man, and Cybernetics Society and a Scientific Advisor for a high-tech company in the UK. Prof. Yu is the PI on grants from a diverse range of funding sources including the EPSRC, EU FP7, RAEng, Royal Society, Innovate UK and Industry. He has been awarded Industrial Fellowship by the Royal Academy of Engineering. He serves as an Associate Editor for IEEE Transactions on Human-Machine Systems, IEEE Transactions on Computational Social Systems, and IEEE Transactions on Intelligent Vehicles.
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