Keynote Speakers

Prof. Zhongyuan Wang

Wuhan University

Title: Trusted Face Recognition and Forgery Detection

Abstract: Trusted face recognition is a critical supporting technology in social governance. Currently, facial identity information faces dual challenges: interference from uncontrolled environments and AI-generated forgeries. This report introduces several effective methods for masked face recognition from the perspectives of facial samples and recognition models. At the same time, in response to the threat posed by Deepfake to the verification of real identities, it further elaborates on the technical approaches and effectiveness of countering AI identity fraud in cyberspace, aiming to safeguard identity security.

Bio: Wang Zhongyuan, a professor at the School of Computer Science, Wuhan University, specializes in multimedia information processing and its applications in social security. He has led multiple national and provincial-level research projects, authored over 50 academic papers, with several being recognized as ESI Highly Cited Papers. Under his guidance, students have achieved top honors, including first place in the International TRECVID Competition, the Best Paper Award from the International Association for Biometrics, and the Nomination Award for Outstanding Doctoral Dissertation from the China Society of Image and Graphics. His research contributions have been honored with the Hubei Province First Prize for Technological Invention and the Guangdong Province First Prize for Scientific and Technological Progress.

Prof. Wenhua Qian

Yunnan University

Title: Adaptive Infrared and Visible Light Image Fusion Method

Abstract: A single sensor is unable to meet the increasingly complex task requirements. A multi-sensor system can simultaneously acquire data of multiple features, effectively overcoming the functional limitations of a single sensor by fusing multimodal data to generate high-quality images that can reflect the physical characteristics of the target object while maintaining the spatial structure. The fusion results can better serve subsequent advanced visual tasks. This report introduces the cutting-edge technologies for infrared and visible light image fusion, improving the fusion effect through complementary modal perception.

Bio: Wenhua Qian, Doctor, Professor, Doctoral Supervisor, Postdoctoral Fellow at Southeast University, Vice Dean of the College of Undergraduate Studies. Industry Innovation Talent of the "Support Program for Developing Talents in Yunnan Province", Young Talented Person of the "Yunling Series of the Ten Thousand Talents Plan" in Yunnan Province, Leader of the "Visual and Cultural Computing Innovation Team" in Yunnan Province, Young Academician of Yunnan Province. Core member of the "Graphics and Image Processing" discipline in the information science field, core member of the "Graphics and Image" course group. Member of the Chinese Society for Computer Graphics and Image Processing, Senior Member of the Chinese Computer Society, Senior Member of the Graphics Society, Member of the National Digital Entertainment and Simulation Society, Member of the Chinese Computer Vision Professional Committee, Member of the Digital Cultural Heritage Professional Committee, Editor-in-Chief of "Chinese Journal of Computer Graphics", Member of the Education Committee of Yunnan Computer Society. He has authored or co-authored over 80 papers in refereed international journals. He has published 3 monographs.