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The third Chinese Conference on Pattern Recognition and Computer Vision (PRCV2020) will be held in Nanjing, the ancient capital of six dynasties from October 16 to 18, 2020. PRCV2020 is jointly sponsored by China Automation Society (CAA), China Image Graphics Society (CSIG),China Artificial Intelligence Society (CAAI) and China Computer Society (CCF); jointly sponsored by Nanjing University of Science and Technology(NJUST), Nanjing University of Information Science and Technology(NUIST) and Southeast University(SEU), and co sponsored by JiangSu association of Artificial Intelligence.
       The Chinese Conference on pattern recognition and computer vision is a combination of China pattern recognition Conference (CCPR) and China computer vision Conference (CCCV), aiming at the top academic event in the field of pattern recognition and computer vision in China.
       This session mainly brings together the vast number of researchers and industrial colleagues engaged in the research of pattern recognition and computer vision theory and application at home and abroad to share the latest theoretical and technical achievements in the field of pattern recognition and computer vision at home, so as to provide you with a wonderful academic feast.We are now open to soliciting high-quality, original and excellent academic papers in English. Papers accepted by the conference will be presented at the meeting, and the conference proceedings will be published by Springer press, and be retrieved by EI and ISTP. Excellent papers will be recommended to a special issue of high quality journals at home and abroad.


Topics of interest: (include, but not limited to)

  • Pattern Classification and Clustering
  • Machine learning
  • Neural Network and Deep Learning
  • Feature Extraction and Selection
  • Structural Pattern Recognition
  • Document Analysis
  • Handwriting Recognition
  • Face Recognition and Gesture Recognition
  • Biometrics Recognition
  • Information Retrieval
  • Performance Evaluation and Benchmark Datasets
  • Physics-based Vision and
    Shape-from-X
  • Computer Vision Theory
  • Low-level Vision, Image Processing
  • 3D Computer Vision
  • Object Detection and Recognition
  • Action Recognition
  • Computational Photography, Sensing and Display
  • Motion and Tracking
  • Multimedia Analysis
  • Biomedical Image Analysis
  • Remote Sensing Image
  • Optimization Methods
  • Vision For Robotics
  • Applications

Important Dates