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Scoups-FMVIP 2021 : 2021 International Conference on Frontiers of Machine Vision and Image Processing

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Link: https://www.fmvip.org
 
When Nov 19, 2021 - Nov 21, 2021
Where Chengdu,China
Submission Deadline Aug 20, 2021
 

Call For Papers

Call For Papers
2021 International Conference on Frontiers of Machine Vision and Image Processing (FMVIP 2021)
Nov. 19-21, 2021 | Chengdu, China
Web: https://www.fmvip.org/


2021 International Conference on Frontiers of Machine Vision and Image Processing (FMVIP 2021) is joint conference of CCISP 2021, which is co-organized by Sichuan University and Asia Pacific Institute of Science and Engineering (APISE), Technical Sponsored by IEEE Communication Society Chengdu Chapter. FMVIP 2021 will be held in Chengdu, China during Nov. 19-21, 2021. FMVIP 2021 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 Processing as they assess the current state-of-the-art and roadmap crucial areas for future research.

●Publication and Indexing
Accepted and presented papers will be published into Conference Proceedings of CCISP 2021(online publishing), which will be indexed by Engineering Village, Scopus, Thomson Reuters (WoS)-CPCI and other databases.
Selected papers with extension can be recommended for publication in International journals.

●Keynote Speaker
Prof. Anders Lindquist, Shanghai Jiao Tong University, China
Anders Lindquist is Zhiyuan Chair Professor at Shanghai Jiao Tong University and an Emeritus Professor at the Royal Institute of Technology (KTH), Stockholm, Sweden. Lindquist is a Member of the Royal Swedish Academy of Engineering Sciences, a foreign Member of the Chinese Academy of Sciences, a foreign Member of the Russian Academy of Natural Sciences, an Honorary Member the Hungarian Operations Research Society, a Life Fellow of IEEE, a Fellow of SIAM, and a Fellow of IFAC.

Prof. Kenji Suzuki, Tokyo Institute of Technology, Japan
Kenji Suzuki is a Professor of Biomedical Artificial Intelligence, Director of Biomedical Artificial Intelligence Research Unit. In 2014, he joined Department of Electric and Computer Engineering and Medical Imaging Research Center, Illinois Institute of Technology, as Associate Professor (Tenured).

Prof. Henry Leung, University of Calgary, Canada
Fellow of IEEE, Fellow of SPIE, His current research includes data mining, information fusion, machine learning, nonlinear dynamics, decision support, robotics, sensor networks and intern of things. He has published extensively in the open literature on these topics. He has over 240 journal papers and over 200 refereed conference papers. He also holds more than 15 patents.

●Topics(Topics of interest for submission include, but are not limited to:)
3D Computer Vision
Handwriting Recognition
Optical Character Recognition
Deep Learning for Vision
Illumination and Reflectance
Pattern Recognition
Bioinformatics
Image Processing Techniques and Methods
RGBD Analysis
Color Processing
Materials Inspection
Robot Vision
Please visit the conference website for more topics: https://www.fmvip.org/CFP.html

●Paper Submission
Submission Web: https://cmt3.research.microsoft.com/CCISP2021

●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: fmvip@apise.org.
2, Listener: You are welcome to attend this great event. You need to complete the registration as Listener before the registration deadline.
3, Reviewer: We sincerely welcome professors, associate professors, teachers and other experts in the areas of Frontiers of Machine Vision and Image Processing join the conference as a reviewer.

●Contact Us
If you have any question, please feel free to contact our conference secretary.
Ms. Con Cong
Email: fmvip@apise.org
Tel: +852-30506939(HK)+86-17723329879 (Mainland China)
Web: https://www.fmvip.org/

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