Keynote Speaker
Prof Bin Sheng
Shanghai Jiao Tong University, China
Biography
Prof. Bin Sheng obtained his Ph.D. degree in Computer Science and Engineering from The Chinese University of Hong Kong in 2011. He currently serves as a full Professor at the Department of Computer Science and Engineering, Shanghai Jiao Tong University. His research interests span virtual reality, computer graphics, and medical data analysis. His work has been published in top-tier journals, including JAMA, Nature Medicine, Nature Biomedical Engineering, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), IEEE Transactions on Visualization and Computer Graphics (TVCG), and International Journal of Computer Vision (IJCV). Sheng holds editorial roles as Managing Editor of The Visual Computer and Associate Editor of the Journal of Virtual Reality and Intelligent Hardware. He has also contributed significantly to conference organization, serving as Program Co-Chair of Computer Graphics International (CGI) from 2020 to 2022, and Conference Co-Chair of CGI (2023–2024) and CASA 2024. Additionally, he was AI Challenge Co-Chair for DeepDRiD (ISBI 2020), DRAC (MICCAI 2022), and MMAC (MICCAI 2023). In recognition of his contributions, he received the Outstanding Contribution Award from the Computer Graphics Society in 2023.
iTaiChi: Spatial Intelligence for Augmented Reality Tai Chi Coaching
Abstract: We present iTaiChi, an augmented reality (AR) graphics system powered by spatial intelligence for expert-guided virtual coaching. iTaiChi builds a virtual coach from motion references captured by Tai Chi experts and reuses these references as spatial priors to support movement practice—particularly for older adults. Central to our approach is a body-centered, spatially normalized representation that converts monocular pose observations into a viewpoint- and speed-robust motion space. This representation enables stable alignment between the user and the virtual coach, consistent visualization from diverse camera perspectives, and fine-grained comparison across different execution tempos. By integrating spatial intelligence into the AR graphics pipeline, iTaiChi delivers interpretable, spatially coherent feedback that bridges expert demonstrations and real-world practice, supporting more reliable human–computer interaction in everyday environments. We conclude by discussing broader implications for AR coaching, accessible motion training, and next-generation spatially aware graphics systems.
Dr Patrick Bourdot
University Paris-Saclay, France
Biography
Dr. Bourdot is Research Director at CNRS and the founding leader of the VENISE team (www.limsi.fr/venise), a Virtual & Augmented Reality research group established in 2001 at the University of Paris-Saclay. His research focuses on eXtended Reality (XR), including virtual navigation, 3D reconstruction, multimodal and collaborative interactions, and related perception and cognition challenges. Applications span Design and Engineering, Bioinformatics, Computational Fluid Dynamics, Science Education, and Autism Spectrum Disorder.
He has led numerous projects funded by the French government and national research institutes, coordinated CNRS participation in the INTUITION VR/AR network (6th IST Framework), and is the founding secretary of AFRV and a founding member of EuroVR/EuroXR, where he served as Vice-President (2016–2021) and President (2021–present).
Dr. Bourdot has published extensively in leading journals (e.g., Presence, JVRB, Frontiers in Robotics and AI) and conferences (e.g., CHI, INTERACT, IEEE VR), and serves as editor of several Springer LNCS volumes and associate editor for Frontiers journals on XR.
Working Together in XR: Challenges and Opportunities for Immersive Collaboration
Abstract: This talk provides an overview of a body of work conducted with my team on immersive collaboration using Extended Reality (XR) technologies. It highlights both the opportunities and the challenges of working together in co-located and remote setups. These range from multi-stereoscopic CAVE-like systems to Virtual Reality (VR) and Augmented/Mixed Reality (AR/MR) headsets. Our research addresses key questions, including user co-habitation, dual presence, spatial consistency, workspace partitioning, engagement, and attention. These topics are explored through several use cases, such as immersive training for assembly tasks, immersive analytics of complex data, and remote immersive learning. For each project, we discuss major outcomes, limitations, and insights. We also highlight promising directions for advancing XR-based immersive collaboration in the future.
Co-host
