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 to 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