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FMVIP 2022 : 2022 2nd International Conference on Frontiers of Machine Vision and Image Processing (FMVIP 2022)

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Link: http://fmvip2022.org/
 
When Nov 18, 2022 - Nov 20, 2022
Where Chengdu
Submission Deadline Oct 20, 2022
Categories    computer vision   image processing   signal processing   communications
 

Call For Papers

2022 2nd International Conference on Frontiers of Machine Vision and Image Processing (FMVIP 2022)
Nov. 18-20, 2022 | Chengdu, China
http://fmvip2022.org/

2022 2nd International Conference on Frontiers of Machine Vision and Image Processing (FMVIP 2022) is joint conference of CCISP 2022, which is organized by Sichuan University, technical sponsored by IEEE Communication Society Chengdu Chapter and School of Electronic and Information Engineering, Shanghai University of Electric Power, and Asia Pacific Institute of Science and Engineering (APISE), and media supported by MDPI-Entropy and Journal of Electronics and Information Technology. FMVIP 2022 will be held in Chengdu, China from Nov. 18 to 20, 2022.
FMVIP 2022 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 & Indexing
*All accepted and presented papers will be included into Conference Proceedings. After publishing, the publisher will submit articles to IEEE Xplore and submitted to EI Compendex, Scopus, Web of Science and other databases for review and indexing. *IEEE is the copyright holder of the proceedings. The copyright of each paper should be transferred to IEEE.

Conference proceeding will be online published.

Selected papers with great extension will be recommended to publish in Selected papers with extension can be recommended for publication in special issue of MDPI-Entropy (ISSN 1099-4300), This special issue belongs to the section "Signal and Data Analysis".

●Speakers
Prof. Geoffrey Li, Imperial College London, UK
Dr. Geoffrey Ye Li is the Chair Professor in Wireless Systems in Department of EEE, Imperial College London. He is currently focusing on machine learning and statistical signal processing for wireless communications. His research topics in the past couple decades include machine learning for wireless signal detection and resource allocation, cognitive radios, cross-layer optimisation for spectrum- and energy-efficient wireless networks, OFDM and MIMO techniques for wireless systems, and blind signal processing. More about his research work can be found at his Google Scholar page. Dr. Geoffrey Ye Li was awarded IEEE Fellow for his contributions to signal processing for wireless communications in 2005.

Prof. Shahram Latifi, University of Nevada, Las Vegas, USA
Shahram Latifi, an IEEE Fellow, received the Master of Science and the PhD degrees both in Electrical and Computer Engineering from Louisiana State University, Baton Rouge, in 1986 and 1989, respectively. He is currently a Professor of Electrical Engineering at the University of Nevada, Las Vegas. Dr. Latifi is the co-director of the Center for Information Technology and Algorithms (CITA) at UNLV. He has designed and taught undergraduate and graduate courses in the broad spectrum of Computer Science and Engineering in the past four decades. He has given keynotes and seminars on machine learning/AI and IT-related topics all over the world.

Prof. Xinguo Yu, Central China Normal University, China
Professor Yu Xinguo is the dean of CCNU Wollongong Joint Institute and a professor of National Engineering Research Center for E-Learning at Central China Normal University, Wuhan, China, senior member of both IEEE and ACM, and an adjunct professor of University of Wollongong, Australia. He is the chair of Hubei Society of Artificial Intelligence in Research and Education. He received B.Sc. degree in Mathematics from Wuhan University of Technology, M. Eng degree from Huazhong University of Science and Technology, another M. Eng. degree from Nanyang Technological University, Singapore and Ph.D. degree in Computer Science from National University of Singapore. His current research mainly focuses on intelligent educational technology, educational robotics, multimedia analysis, computer vision, and machine learning.

Peter Han Joo Chong, Auckland University of Technology, New Zealand
Professor Peter Han Joo Chong is the Associate Head of School (Research) at the School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, New Zealand. Between 2016 and 2021, he was the Head of Department of Electrical and Electronic Engineering at AUT. He received the B.Eng. (with distinction) in Electrical Engineering from the Technical University of Nova Scotia, Canada, in 1993, and the M.A.Sc. and Ph.D. degrees in Electrical and Computer Engineering from the University of British Columbia, Canada, in 1996 and 2000, respectively. He has visited Tohoku University, Japan, as a Visiting Scientist in 2010 and Chinese University of Hong Kong (CUHK), Hong Kong, between 2011 and 2012. He is currently an Adjunct Professor at the Department of Information Engineering, CUHK. He is a Fellow of the Institution of Engineering and Technology (FIET), UK.

Prof. Songtao Guo, Chongqing Univerity, China
Songtao Guo is a professor and doctoral supervisor of The State University of New York at Stony Brook. Chairman of ACM Chongqing Branch, chairman of CCF YOCSEF Chongqing, senior member of IEEE/ACM, vice Dean of School of Computer Science, Chongqing University. He received his B.S., M.S. and Ph.D. degrees in computer Science and Technology from Chongqing University in 1999, 2003 and 2008, respectively. He was awarded lecturer, Associate professor and professor in Chongqing University in 2006, 2009 and 2011. From January 2013 to October 2018, Professor at Southwest University, Vice Dean of School of Electronic And Information Engineering, Southwest University. He has been a professor in Chongqing University since November 2018. The research mainly focuses on mobile edge computing, mobile cloud computing, wireless sensor network, wireless AD hoc network and other aspects, and has achieved remarkable research results.

Prof. Jimmy Liu,Southern University of Science and Technology, China
In March 2016, Jimmy moved to China and became the founding institute director of the Cixi Institute of Biomedical Engineering (CIBE) under the Chinese Academy of Sciences (CAS). He further founded the iMED China Ningbo team in CIBE focusing on ocular image AI research. In February 2019, he joined the Department of Computer Science and Engineering of the Southern University of Science and Technology and established iMED China Shenzhen continue to focus on ocular AI image AI research. Right now, iMED China team are devoting themselves to eye-brain imaging, ocular imaging, ocular precision medicine, and ocular surgical robotics 4 research areas.

Dr. Zhao Yue,Southwest Communication Research Institute, China
Zhao Yue is a senior engineer and Ph.D. of Southwest Communication Research Institute. He has presided over more than ten projects such as National Natural Science Foundation Projects, Key Technology R&D Programs of Sichuan Province, and participated in National Key Technology R&D Program as the person in charge of special topics. As the first author or corresponding author, he has more than 20 academic papers published on IEEE Transactions on Mobile Computing, IEEE/ACM Transactions on Knowledge and Data Engineering, and other top network and communication academic journals and conferences, 34 patents authorized and 4 software copyrights registered.

●Special Seesions
Special Session I: Quantum Secure Information Communication and Processing

Session chair: Dr. Adarsh Kumar, University of Petroleum and Energy Studies, Dehradun, India

Special Session II:: Image Segmentation

Session chair: Dr. Tiehua Du, Nanyang polytechnic, Singapore

●The topics of FMVIP 2022 are included, but not limited:
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
Currency Inspection
Medical Image Analysis Segmentation and Grouping
Document Processing and Recognition
Model-based Vision
Shape-from-X
Early and Biologically Inspired Vision Motion, Flow and Tracking
Signature Identification
Electronic Component Analysis
Object Detection and Recognition
Statistics and Machine Learning for Vision
Face and Gesture Recognition
Object Recognition
Stereo, Calibration, Geometric Modelling and Processing
Texture, Shape and Colour
Transmission and Encoding UV Imaging, Gamma Ray Imaging and CT scan in Medical Field
Video Analysis and Processing

For more: http://fmvip2022.org/CFP.html

●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 dealdine. Send email to us for further information.
3,Reviewer: We sincerely welcome experts in the areas above join the conference as reviewer.


●Contact us
Ms. Cong
Cellphone:+86 17723329879
WeChat:APISE17358663189
Email:fmvip@apise.org
Website:https://www.fmvip2022.org/

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