Speakers of CVIP 2025
Prof. Xin Lv
Communication University of China, China
Bio: Professor and Doctoral Supervisor, School of Animation and Digital Arts, Communication University of China Director, Institute of Digital Humans Chair, Network Technology and Intelligent Media Design Committee, China Association of Fundamental Computing Education in Universities Secretary-General, Animation and Digital Media Art Committee, China Association of Film and Television Education in Higher Education Institutions Awarded the First Prize of National Teaching Achievement, the 2023 Science and Technology Innovation "Rainbow Award", and the Best Digital Creativity Award at the Asian Youth Animation and Digital Arts Competition. Selected for the Beijing Higher Education "Young Talents Program". Main research interests include virtual digital humans and intelligent product design.
Title: Generative AI and Digital Humans: Exploring the New Frontiers of Empathetic Media
Abstract: The advancing maturity of generative AI, affective computing, and digital human technology is collectively driving media beyond its passive role as a "conduit" for human information, giving rise to intelligent media entities with empathic capabilities. This lecture unveils the core paradigm of "empathic media" through intelligent digital humans: By integrating large language models for contextual understanding, affective AI for emotional recognition, and fuzzy logic-driven multimodal body language expression, digital humans have evolved from audiovisual symbols into interactive agents capable of emotional resonance—transforming from digital shells into communicative partners with engaging souls. Grounded in the speaker's five years of digital human R&D case studies, the talk delves into the technical architecture and ethical challenges of empathic media, while envisioning the future of human-AI emotional interaction.
Prof. Fang-Lue Zhang
Victoria University of Wellington, China
Bio: Fang-Lue Zhang is a Senior Lecturer at Victoria University of Wellington, New Zealand. He received his Ph.D. in Computer Science from Tsinghua University in 2015. Since 2009, Dr. Zhang has focused on research in computer graphics and intelligent image/video editing methods. He has proposed numerous innovative approaches in the structured representation, analysis, and synthesis of images and videos, as well as in perception-based visual media analysis and editing. He has published over 100 papers in international conferences and journals in the fields of computer graphics and artificial intelligence, including more than 30 papers in top-tier publications such as IEEE TPAMI, ACM SIGGRAPH/SIGGRAPH Asia, ACM TOG, IEEE TVCG, IEEE TIP, and AAAI. Dr. Zhang has received the Victoria University of Wellington Early-Career Research Excellence Award (2019) and the Royal Society of New Zealand Fast-Start Marsden Grant (2020). He has served as the Program Chair of Pacific Graphics 2020 and 2021, and as the Program Chair of CVM 2024. He is currently a member of the IEEE Central New Zealand Section and serves on the editorial boards of several international journals in computer graphics.
Title: Gaze-Driven 360-degree Scene Analysis and Enhancement
Abstract: Panoramic images and videos can present 360-degree real-world scenes, providing users with a highly immersive experience. Compared to traditional virtual reality (VR) scenes generated through complex modeling and rendering, panoramic images and videos are directly captured from the real world, offering a more intuitive and comprehensive representation of the scene. Visual perception in panoramic environments plays a crucial role in the quality of user experience, and understanding and analyzing users' visual perception is one of the core challenges in this field. This report focuses on a key perceptual feature in 360-degree images and videos—the user scanpath—and explores how deep learning techniques can be applied to predict scanpaths and enhance image quality based on such user gaze trajectories.
Prof. Zhenghao Shi
Xi' an University of Technology, China
Bio: Shi Zhenghao, Ph.D., Professor, Doctoral Supervisor, Member of the Academic Committee of Xi'an University of Technology, Outstanding Member of CCF, IEEE Senior Member, "500 Elite Talents" of Taizhou City, Zhejiang Province, Executive Director of Shaanxi Computer Society, Chairman of the "Computer Vision Technology Professional Committee" of Shaanxi Computer Society, Vice Chairman of the "Biomedical Intelligent Computing Professional Committee" of Shaanxi Computer Society, Head of the "Intelligent Image Processing and Application" research team at Xi'an Technological University, with main research directions in machine vision, medical image processing, and machine learning. Published 60 academic papers as first author or corresponding author, authorized 15 invention patents (including 1 South African invention patent), won 2 second prizes of Shaanxi Science and Technology Progress Award (ranked first), 1 second prize of Xi'an Science and Technology Progress Award (ranked first), and 3 second prizes of Shaanxi Higher Education Science and Technology Award (ranked first). Firstly, One second prize for scientific and technological progress from Shaanxi Computer Society (ranked first), one first prize for technological invention from Shaanxi Computer Society (ranked first), and the "Wiley China Open Science High Contribution Author" award.
Prof. Shitong Wang
Jiangnan University, China
Bio: Shitong Wang received the M.S. degree in computer science from the Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 1987. He visited London University, Bristol University, U.K., Hiroshima International University, Osaka Prefecture University, Hong Kong University of Science and Technology, and Hong Kong Polytechnic University as a Research Scientist/visiting professor for over eight years. He have authored/co-authored 90 papers in several IEEE TRANSACTIONS journals. He is currently a Full Professor with the School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China.