Call For Papers Special Track Submission
Call For Papers

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Call for Papers

The 5th Chinese Conference on Pattern Recognition and Computer Vision (PRCV 2022) will be held in Shenzhen, China from December 23 to 26, 2022. As one of the top-notch academic conferences in the fields of pattern recognition and computer vision in China, PRCV 2022 is hosted by Chinese Association for Artificial Intelligence (CAAI), China Computer Federation (CCF), Chinese Association of Automation (CAA), and China Society of Image and Graphics (CSIG), with Southern University of Science and Technology (SUSTech) and Shenzhen Polytechnic (SZPT) as the organizers. The co-organizers are listed as follows: Hong Kong Baptist University (HKBU), the Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), Harbin Institute of Technology, Shenzhen (HITSZ), Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences (SIAT, CAS), and Sun Yat-sen University (SYSU).

Centered around the topic "Converge at Greater Bay Area, Innovate for a Broader Vision", PRCV 2022 aims to promote high-quality intellectual interchange focusing on state-of-art theories among researchers from the Guangdong-Hong Kong-Macao Greater Bay Area. We have faith that technology has the power to energize industry. With the support from the Greater Bay Area, PRCV 2022 strives to have more technology companies and investors attend the conference, thus providing an opportunity for researchers around the country to have direct access to these enterprises.

PRCV 2022 is now open for submissions. Papers submitted should describe high-quality, original research in English. After the presentation of accepted papers at the conference, the proceedings will be published by Springer and indexed by EI and ISTP.

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

Pattern Classification and Clustering

Performance Evaluation and Benchmark Datasets

Structural Pattern Recognition

Object Detection, Tracking and Recognition

Machine learning

Action Recognition

Neural Network and Deep Learning

Multimedia Analysis

Feature Extraction and Selection

Biomedical Image Processing and Analysis

Computer Vision Theory

Biometrics Recognition

Low-level Vision, Image Processing

Remote Sensing Image Interpretation

3D Computer Vision and Reconstruction

Optimization and Learning methods

Computational Photography, Sensing and Display

Multimodal Information Processing

Document Analysis and Recognition

Vision Analysis and Understanding

Character Recognition

Vision Applications and Systems

Face Recognition and Gesture Recognition

Vision For Robots and Autonomous Driving

Important Dates

Official account