2025 International Symposium on
AI-Driven Image Processing and Computer Vision Technology

December 12-14, 2025      Nanjing, China 

Welcome to AIPCVT 2025

Against the backdrop of rapid advancements in cutting-edge technologies such as artificial intelligence, the metaverse, and intelligent manufacturing, image processing and computer vision, as core supporting technologies, are profoundly transforming human society’s lifestyle and industrial landscape. To foster deep integration between the global academic and industrial communities and to promote the innovation and application of image processing and computer vision technologies, the 2025 International Symposium on AI-Driven Image Processing and Computer Vision Technology (AIPCVT 2025), hosted by Jiangsu University, will be held in Nanjing, China, from December 12 to 14, 2025.

AIPCVT 2025 is committed to providing a high-level international exchange platform for global scholars, researchers, engineers, and industry leaders, driving academic innovation and industrial implementation of image processing and computer vision technologies. We sincerely invite experts, scholars, research teams, and industry representatives from related fields worldwide to actively submit papers and participate, jointly envisioning the future blueprint of intelligent vision technology!

Important Dates

Full Paper Submission Deadline

September 12, 2025

Registration Deadline

October 17, 2025

Final Paper Submission Deadline

October 31, 2025

Conference Dates

December 12-14, 2025

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Publication

All papers will be reviewed by two or three expert reviewers from the conference members. After a careful reviewing process, all accepted papers will be published in IEEE and submitted to IEEE Xplore, EI Compendex, Scopus for indexing.

AIPCVT2025 has been launched on the IEEE official website. Click to view details

Call for Papers

  • Signal Processing for Images and Videos
  • Image Enhancement and Restoration
  • Pattern Recognition and Machine Learning
  • AI and Deep Learning in Vision
  • Computer Vision for Robotics and Automation

Sponsored by

Jiangsu University, China

Nanjing University of Information Science and Technology, China

Supported by

School of Software, Nanjing University of Information Science and Technology, China

Copyright@IPVCT2025

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