Prof. Bin Liu, Dalian University of Technology, China
Experience：Bin Liu, Professor, PhD supervisor, Head of Digital Media Technology Department, Director and Technical Leader of Liaoning Provincial Key Laboratory of Medical Simulation Technology, High-end talent in Dalian, member of GF project evaluation expert group, CCF member of Chinese Computer Society, ACM member of American Computer Society, MICCAI member. He received his B.E. degree, M.S. degree and Ph.D. degree from Dalian University of Technology in 2000 to 2009, and he conducted a joint research as a visiting scholar at National University of Singapore in 2018-2019. His main research interests are computer vision and graphic images, medical image processing and 3D reconstruction, computer-aided preoperative planning and simulation.
Prof. Xin Xu, Wuhan University of Science and Technology, China
Title：Rethinking Data Collection for Intelligent Visual Surveillance
Abstract: AI's success is largely attributed to data intelligence and machine learning, which extracts knowledge, patterns, and models from data. Most current machine learning techniques solve convex problems, but non-convex problems are increasingly prevalent in industry, such as interactive data annotation for visual surveillance. Traditional methods approximate non-convex problems to convex ones, but accuracy cannot be guaranteed. To effectively address complex practical problems and promote AI's integration with the real economy, it is urgent to solve non-convex machine learning problems from the source.
Experience：Xin Xu received the B.S. and Ph.D. degrees in computer science and engineering from Shanghai Jiao Tong University, Shanghai, China, in 2004 and 2012 respectively. He iscurrently a Full Professor with the School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China. His research deals with image processing, computer vision, and deep learning. More specifically, his research areas focus on building a hierarchical person re-identification architecture including detection and recognition for nighttime surveillance scenarios. His publication was selected as the cover paper of the journal International Journal of Intelligent Systems in 2022. He was shortlist in the Best Paper Finalist of the IEEE International Conference on Multimedia and Expo (ICME) 2021.
Prof. Fengqiu Wang
Nanjing University, China
Prof. Yuda Zhao
Zhejiang University, China
Prof. Junjie Qi
University of Science and Technology Beijing, China