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IEEE--FMVIP 2020 : 2020 International Conference on Frontiers of Machine Vision and Image Processing (FMVIP2020)


When Nov 13, 2020 - Nov 15, 2020
Where Chengdu, China
Submission Deadline Sep 30, 2020
Categories    computer vision   image processing   deep learning   computer graphics

Call For Papers

Call For Papers
2020 International Conference on Frontiers of Machine Vision and Image Processing (FMVIP2020)
Nov. 13-15, 2020 | Chengdu, China

2020 International Conference on Frontiers of Machine Vision and Image Processing (FMVIP 2020) is joint conference of CCISP 2020, which is organized by Sichuan University, sponsored by Asia Pacific Institute of Science and Engineering, technical sponsored by IEEE Communication Society Chengdu Chapter. FMVIP 2020 will take place in Chengdu, China from Nov. 13-15, 2020. FMVIP 2020 is a not-to-be-missed opportunity that distills the most current knowledge on a rapidly advancing discipline in one conference. Join key researchers and established professionals in the field of Frontiers of Machine Vision and Image Processingas they assess the current state-of-the-art and roadmap crucial areas for future research.

●Publication and Indexing
1. Accepted and presented papers will be published into conference proceedings. The conference proceedings will be included in IEEE Xplore and indexed by Ei Compendex, Scopus, CPCI and other databases.

2. Selected papers with great extension can be recommended to be published in Journal: Mathematical Problems in Engineering— Special issue: Advanced Intelligent Fuzzy Systems Modeling Technologies for Smart Cities, and will be submitted to Science Citation Index Expanded, Scopus, EI Compendex etc. for reviewing and indexing.

●Keynote Speakers(Continuous updating)
Prof. Hao Ying, Wayne State University, USA
IEEE Fellow, Professor Hao Ying is a tenured full professor at the Department of Electrical and Computer Engineering, Wayne State University, USA. He has published two fuzzy control books, 119 peer-reviewed journal papers, over 160 peer-reviewed conference papers, and 6 book chapters. Prof. Ying's Google Scholar h-index is 49. He is ranked among the top 23% of the 100,000 most-cited authors across all 22 scientific fields (176 subfields) which are selected from over 6,880,000 scientists worldwide (Supplementary data tables for “A standardized citation metrics author database annotated for scientific field,” PLoS Biology 2019).

Prof. Edmund Lai, Auckland University of Technology, New Zealand
Edmund joined AUT in February 2016. He obtained his BE(Hons) and PhD in Electrical Engineering from The University of Western Australia in 1982 and 1991 respectively. Prior to joining AUT, he was with the School of Engineering and Advanced Technology at Massey University from 2006. He had also held various academic positions in the School of Computer Engineering at Nanyang Technological University in Singapore, School of Engineering with Edith Cowan University in Western Australia, and Department of Information Engineering at the Chinese University of Hong Kong. He had also worked as a independent consultant, developing industrial training courses and optimization software for the mining industry in Australia. His general research interests include multimedia signal processing, machine learning techniques, wireless networks and information theory.

Prof. Ce Zhu, University of Electronic Science and Technology of China, China
Ce Zhu is currently a Professor with the School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China. His research interests include image/video coding and communications, 3D video, visual analysis and understanding, visual perception and applications. He has served on the editorial boards of a few journals, including as an Associate Editor of IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Broadcasting, IEEE Signal Processing Letters, and IEEE Communications Surveys and Tutorials. He has also served as a Guest Editor of a few special issues in international journals, including as a Guest Editor in the IEEE Journal of Selected Topics in Signal Processing. He is a Fellow of the IEEE, and an IEEE CASS Distinguished Lecturer (2019-2020).

Prof. Jun Cheng, UBTech Research Institute, Shenzhen, China
He is now Deputy Director of UBTech Research Institute, Shenzhen, China. He was a senior scientist and the research lead in the Intelligent Medical Imaging (iMED) department in the Institute for Infocomm Research, leading the research of medical image processing & understanding. He has developed many algorithms for automated ocular disease detection including glaucoma, age-related macular degeneration, pathological myopia. He has received the IES Prestigious Engineering Achievement Award 2013. His research interests include computer vision, image processing, medical imaging and machine learning. He has authored/co-authored many publications at prestigious journals/conferences, such as TMI, TIP, TBME, IOVS, JAMIA, MICCAI, CVPR and invented more than 10 patents. He serves as reviewers for many journal and conferences. He is currently associate editor for TMI.

Prof. Yiyu Cai, Nanyang Technological University (NTU), Singapore
Professor Yiyu Cai is a tenured faculty with Nanyang Technological University (NTU), Singapore. In NTU, he heads the Computer-aided Engineering Labs, and directs the Strategic Research Program of VR & Soft Computing. He is also deputy director of NTU's Center of Augmented & Virtual Reality. Currently, he is leading a team in NTU developing Virtual & Augmented Reality Technology to enhance learning. He has over 20 years’ experience doing R&D in Virtual & Augmented Reality, Simulation & Serious Games, Artificial Intelligence, and their applications in medicine, engineering and education. His research has been supported by Singapore’s National Research Foundation, Temasek Trust Funded Singapore Millennium Foundation, Ministry of Education, and many other public and private sectors.

Associate Professor, Han Zhang, Sichuan University, China
Han Zhang, Ph.D. in Optical Science, Associate Professor, Master’s tutor. Excellent talent of Sichuan and Chengdu Talents Plan, evaluation expert of Chengdu Science and Technology. He has long been ingaged in basic and applied research in biomendical optics, super-resolution imaging technology, molecular diagnostic instruments, mid infrared fiber lasers, etc. He has authored/co-authored more than 20 papers at international journals retrieved by SCI, and invented more than 20 patents. He has presided many national and provincial projects, such as National Natural Science Fundation of China, key R&D programs of Ministry of science and technology, key projects of Ministry of human resources and social security, major projects of Sichuan Province, etc.

●Topics(for more topics:
3D computer vision
Handwriting recognition
Optical character recognition
Deep learning for vision
Illumination and reflectance
Pattern recognition
Image processing techniques and methods
RGBD analysis
Color Processing
Materials inspection
Robot Vision
Currency inspection
Medical image analysis
Segmentation and grouping

●Paper Submission
Electronic submission system:

●Call for participants
1,Presenter:If you are interested in giving presentation on conference,without publishing your paper in the proceeding,you need to submit the abstract and title of your presentation to us:

2,Listener:You are welcome to attend this great event. You need to complete the registration as Listener before the registration dealdine.

3,Reviewer:We sincerely welcome professors, associate professors, teachers and other experts in the areas of Machine Vision and Image Processing join the conference as a reviewer.

●Contact Us
Ms. Yury Yu
Tel:+852-30506939( Hong Kong)

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