Full name: SPIE--2026 The 9th International Conference on Machine Vision and Applications (ICMVA 2026)
Abbreviation: ICMVA 2026

The 9th International Conference on Machine Vision and Applications (ICMVA 2026) is to be held in Nanjing, Jiangsu, China from April 24-26, 2026. The conference is sponsored by Nanjing University of Science and Technology, University of Stuttgart, organized by School of Electronic and Optical Engineering, supported by University of Tartu, Okayama University, University of Évora, Gifu Shotoku Gakuen University, and National Taiwan University of Science and Technology. More information, please visit: https://icmva.org/

Publication and Indexing:
Submissions of ICMVA 2026 will be peer reviewed.
Accepted and registered papers will be published in SPIE Conference Proceedings, and indexed by EI Compendex, SCOPUS, ISTP, etc.


Submission ways:
Submit full paper or abstract through the linkage below: https://www.zmeeting.org/submission/icmva2026
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 Jan. 20, 2026. The proposals should include the
following information:
Title and general information
General information of organizers
Proposed speakers
Description of publicity and promotion plan

Program
April 24, 2026--Registration, collecting conference materials
April 25, 2026--Keynote Speech & Presentation Day
April 26, 2026--Presentation Day (Online)

Contact Us:
Ms. Anna Carter
Email: icmva@sciei.org
Tel. : +1-562-606-1057 / +86 18207777775