报告嘉宾：王逍 (安徽大学)
报告时间：2024年7月17日 (星期三)晚上20:00 (北京时间)
报告题目：Visual Object Tracking using an Event Camera
报告人简介：
Xiao Wang (Member, IEEE) received the Ph.D. degree in computer science from Anhui University, Hefei, China, in 2019, supervised by Professor Jin Tang and Bin Luo. He was a visiting student with Sun Yat-sen University and The University of Sydney at 2016 and 2019. He finished the Postdoctoral Research with Pengcheng Laboratory (Shenzhen, China). Currently, he is working at the School of Computer Science and Technology of Anhui University, Hefei 230601, China, as an Associate Professor.His current research interests are mainly computer vision, event-based vision, machine learning, and pattern recognition, and have published more than 30 papers in high-level conferences and journals at home and abroad, including CCF-A class conferences (CVPR, AAAI), top international journals (TPAMI, IJCV, TIP, TNNLS, TMM, TCSVT, TCYB, TGRS, PR, etc.), with 2000+ citations on Google Scholar. He has led projects funded by the National Natural Science Foundation (Youth Project), the Postdoctoral Innovation Program, and other postdoctoral projects. In 2022, he was selected as a Category D High-Level Talent in Hefei, Anhui Province. Dr. Wang serves as a Reviewer for a number of journals and conferences, such as IEEE TCSVT, TNNLS, TIP, IJCV, CVIU, CVPR, ICCV, ECCV, AAAI, ACCV, ACM-MM, and WACV.
个人主页：
https://wangxiao5791509.github.io/
报告摘要：
The event camera represents an innovative, bio-inspired sensory technology that differs significantly from conventional synchronous visible light cameras. Its unique output consists of spatially sparse yet temporally dense asynchronous pulse streams. This sensor excels in high-speed motion capture, complex environments, and low-light settings, making it increasingly applicable to a wide range of visual tasks, including object tracking tailored for event cameras. ……
