Subjects:
Computer Science and Technologies;
Sponsorship:
Indexing: EI Compendex,Scopus
Short Description
Full name: IEEE--2025 The 8th International Conference on Machine Vision and Applications (ICMVA 2025)
Abbreviation: ICMVA 2025
The 8th International Conference on Machine Vision and Applications (ICMVA 2025) is to be held in Melbourne, Australia during June 12-14, 2025. The conference is sponsored by Swinburne University, University of Stuttgart, University of Tartu, supported by Okayama University, University of Évora, Gifu Shotoku Gakuen University, and National Taiwan University of Science and Technology. More information, please vist: https://icmva.org/
Publication and Indexing:
Submissions of ICMVA 2025 will be peer reviewed.
Accepted and registered papers will be published in IEEE conference proceedings, included in IEEE Xplore, and indexed by EI Compendex, SCOPUS, etc.
Previous published papers were successfully indexed by EI Compendex and SCOPUS within three months after online.
Submission ways:
Submit full paper or abstract through the linkage below: https://www.zmeeting.org/submission/icmva2025
Note: *An account is needed. Please register first, if you do not have one.
*Full paper submission can be published in conference proceeding after reviewing and registration. Abstract can be included in conference program only.
Call for Papers:
Topics of interest for submission include, but are not limited to:
Computer Vision
Active Vision
3D-Vision
Machine Learning
Deep Learning
Image Processing
Image Processing Methods
Computational Imaging
Machine Vision Systems and Components
Machine Vision
Image Forensics and Identification
Call for Special Sessions:
Special Sessions Proposals should be submitted in PDF format by email to icmva@sciei.org before Feb. 20, 2025. The proposals should include the
following information:
Title and general information
General information of organizers
Proposed speakers
Description of publicity and promotion plan
Contact Us:
Ms. Anna Carter
Email: icmva@sciei.org
Tel. : +1-562-606-1057 / +86 18207777775
Contact
E-mail:
Tel:
Rank: ★★★★
Indexing
Online Proceedings:
Indexing Proof: View