Speakers of CVIP 2024
Keynote Speakers of CVIP 2024
Prof. Zhenghao Shi, IEEE Senior Member
Xi’an University of Technology, China
Experience: 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.
Title: Wide Area Object Detection and Tracking Method Based on Deep Learning
Abstract: Based on the research tasks undertaken by our research group in the past two years, we will explore the key issues of wide area object detection and tracking based on deep learning, and report our work on detecting and recognizing wide area objects using deep convolution and Transformer technology.
Prof. Nianyin Zeng, Xiamen University, China
Nianyin Zeng is currently a Professor with the Department of Instrumental and Electrical Engineering of Xiamen University. He received the B.Eng. degree in electrical engineering and automation in 2008 and the Ph.D. degree in electrical engineering in 2013, both from Fuzhou University. From October 2012 to March 2013, he was a RA in the Department of Electrical and Electronic Engineering, the University of Hong Kong. From September 2017 to August 2018, he was an ISEF Fellow founded by the Korea Foundation for Advance Studies and also a Visiting Professor at the Korea Advanced Institute of Science and Technology (KAIST).His current research interests include intelligent data analysis, machine learning and computer vision, computational intelligent, system modeling and applications. He has published more than 100 research papers in referred journal and conferences as well as 13 patents. By Google Scholar, his publications have been cited by more than 11,000 times with H-Index 45.
Dr. Zeng is currently serving or has served as an Associate Editor for Neurocomputing Frontiers in Medical Technology, and Evolutionary Intelligence, an Editorial Board member for Computers in Biology and Medicine, Biomedical Engineering Online, Mathematical Problems in Engineering, Journal of Electronics & Information Technology, and Journal of Image and Graphics, and also Guest Editors for Frontiers in Neuroscience and Frontiers in Medical Technology. He has also served as program committee members for a number of premier international conferences related to intelligent data analysis.
Dr. Zeng has received a number of prestigious awards, including Highly Cited Researcher, High-Level Talent of Fujian Province, Key-Talent of Xiamen City, Nanqiang Young-Top-Talent of Xiamen University, three Provincial Natural Science Awards, Invention and Entrepreneurship Achievement Award by the China Invention Association, and Distinguished Reviewers of Computers in Biology and Medicine, Neurocomputing, and Chinese Journal of Scientific Instrument.