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- Welcome Dr. Hamid R. Ghaeini from Helmholtz Center for Information Security, Saa... [2020-03-30]
- Welcome Prof. Zhiyong ZHANG(ACM Senior Member) from Henan University of Science ... [2020-03-19]
- Welcome Dr. Mohamed Abdellatif from University of Leeds to be keynote speaker! [2020-03-19]
- Welcome Assoc Prof. Han Wang from Nanyang Technological University to be keynote... [2020-03-19]
- Welcome Prof. Michal Feckan from Comenius University in Bratislava to be committ... [2020-03-19]
- Welcome Assoc.Prof.Dr. Nada M. Al Hakkak from IT faculty at Baghdad College for ... [2020-03-05]
- Welcome Dr. Bin Xue from National University of Defense Technology, China to be ... [2020-01-21]
- Welcome Dr. Ayush Dogra from CSIR-NPDF, CSIR-CSIO Chandigarh (India) to be commi... [2020-01-06]
- CVIDL2020 is online now!!! [2020-01-06]
Welcome to CVIDL 2020
2020 International Conference on Computer Vision, Image and Deep Learning (CVIDL 2020) will be held on May 15-17, 2020 in Nanchang, China. CVIDL 2020 is to bring together innovative academics and industrial experts in the field of computer vision, image and deep learning to a common forum. The primary goal of the conference is to promote research and developmental activities in computer vision, image and deep learning and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held every year to make it an ideal platform for people to share views and experiences in computer vision, image and deep learning and related areas.
We warmly invite you to participate in CVIDL 2020 and look forward to seeing you in Nanchang!
Publication
All accepted full papers of CVIDL2020 will be published by ACM ICPS (ACM International Conference Proceeding
Series). ACM ICPS will submit the proceedings to EI Compendex, Scopus, ACM Digital Library for indexing.
EI Template Download:Template.rar
Please submit your origin papers to Submission System
2020 International Conference on Computer Vision, Image and Deep Learning (CVIDL 2020) aims to provide a high-level international forum for researchers, engineers and scientists to present the new advances and research results in the fields of computer vision, image and deep learning.
The topics of interest for submission include, but are not limited to:
• Vision and Image technologies 计算机视觉与图像
• DL Technologies 深度学习技术
• DL Applications 深度学习应用
*High quality papers will be recommended for publication in SCI journal.
Sustainable Cities and Society ISSN: 2210-6707 IF: 4.624 | EURASIP Journal on Image and Video Processing ISSN: 1687-5281 IF: 1.534 | Journal of Materials Science: Materials in Electronics ISSN: 0957-4522 IF: 2.195 |
All SCI submissions must not be less than 8 pages in length. Please submit your origin papers to SCI Submission System and note "SCI-CVIDL". P.S. Please do not submit your paper to both conference proceedings and SCI Journal. |
Submission Guide
Please submit your papers as the following instructions:
A. Full Paper (for Presentation and Publication)
Accepted full paper will be invited to give the oral presentation at the conference and be publsihed in the conference proceedings.
B. Abstract (Presentation only)
Accepted abstract will be invited to give the oral presentation at the conference, the presentation will not be published.
C. English Template(Template.rar)
All submissions must not be less than 4 pages in length. (Authors will be charged extra 50 USD/page if the manuscript length is more than 4 pages)
D. Submission Methods
Please send the full paper & abstract to Submission System
E. Consultation
Any question or inquiries please contact contact@cvidl.org
Note:
1) Papers submitted to the conference should be in English.
2) Both Abstract and Full Paper are welcomed. The author can make an oral presentation after the Abstract is accepted and the payment is finished.
3) All submitted articles should report original, previously unpublished research results, experimental or theoretical. Articles submitted to the conference should meet these criteria and must not be under consideration for publication elsewhere. We firmly believe that ethical conduct is the most essential virtual of any academic. Hence any act of plagiarism is a totally unacceptable academic misconduct and cannot be tolerated.