Información de la conferencia
PRCV 2025: Chinese Conference on Pattern Recognition and Computer Vision
http://2025.prcv.cn/
Día de Entrega:
2025-06-03 Extended
Fecha de Notificación:
2025-08-10
Fecha de Conferencia:
2025-10-18
Ubicación:
Shanghai, China
Años:
8
CCF: c   Vistas: 69122   Seguidores: 54   Asistentes: 29

Solicitud de Artículos
Conference Website: http://2025.prcv.cn/
Submission Website: https://cmt3.research.microsoft.com/PRCV2025/Submission/Index

The 8th Chinese Conference on Pattern Recognition and Computer Vision (PRCV 2025) will be held in Shanghai from October 16 to 19, 2025. This conference is jointly organized by the China Society of Image and Graphics (CSIG), the Chinese Association for Artificial Intelligence (CAAI), the China Computer Federation (CCF), and the Chinese Association of Automation (CAA), with Shanghai Jiao Tong University serving as the host institution. As a leading academic event in the fields of pattern recognition and computer vision in China, PRCV 2025 is recognized as a CCF Category C conference.

PRCV 2025 aims to gather researchers and professionals from academia and industry, both domestically and internationally, in the fields of pattern recognition and computer vision to exchange the latest advancements in theoretical research and technological development. This event is expected to foster deeper "industry-academia-research" collaborations, promoting innovation and driving further progress in the fields of pattern recognition and computer vision.

We are now calling for high-quality papers for PRVC 2025. Accepted papers will be presented at the conference, and the proceedings will be published by Springer and indexed by EI and ISTP.

The Topics of Interest
(including but not limited to)

  3D Vision and Reconstruction
  Action Recognition
  Biometric Recognition
  Character Recognition
  Computational Photography, Sensing and Display Technology
  Document Analysis and Recognition
  Face Recognition and Pose Recognition
  Feature Extraction and Feature Selection
  Fundamental Theory of Computer Vision
  Low-Level Vision and Image Processing
  Machine Learning
  Medical Image Processing and Analysis
  Multimedia Analysis and Reasoning
  Multi-Modal Information Processing
  Neural Network and Deep Learning
  Object Detection, Tracking and Identification
  Optimization and Learning methods
  Pattern Classification and Cluster Analysis
  Performance Evaluation and Benchmarks
  Remote Sensing Image Interpretation
  Structural Pattern Recognition
  Video Analysis and Understanding
  Vision Applications and Systems
  Vision Problems in Robotics, Autonomous Driving
Última Actualización Por Dou Sun en 2025-03-09
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