Conference Information
PRCV 2018: Chinese Conference on Pattern Recognition and Computer Vision
https://prcv-conf.org/2018/en/
Submission Date:
2018-05-21 Extended
Notification Date:
2018-07-31
Conference Date:
2018-11-23
Location:
Guangzhou, China
Years:
1
Viewed: 21007   Tracked: 9   Attend: 9

Conference Location
Call For Papers
The Chinese Conference on Pattern Recognition and Computer Vision (PRCV) is the merger of two previous conferences, the Chinese Conference on Pattern Recognition (CCPR) and the Chinese Conference on Computer Vision (CCCV). It is set to be the most prestigious domestic academic conference in the field of pattern recognition and computer vision, and is co-sponsored by Chinese Association for Artificial Intelligence (CAAI), China Computer Federation (CCF), Chinese Association of Automation (CAA) and China Society of Image and Graphics (CSIG).

The inaugural edition of PRCV will be held during November 23rd-26th, 2018 in Guangzhou, China, hosted by Sun Yat-sen University.

The conference will bring together researchers and practitioners in the field of pattern recognition and computer vision to share the latest achievements. We call for high-quality original research papers (in English). The accepted papers will be presented at the conference and included in the proceedings published by Springer’s LNCS (indexed by EI and ISTP). The Springer provides an amount of EUR 1,000 for a PRCV 2018 Best Paper Award(s). Some selected papers will undergo further peer-review for publication in high standard SCI journals.

Topics of interest (include, but not limited to)

Pattern classification and clustering 	
Machine learning 	
Neural networks and deep Learning 	
Feature extraction and selection 	
Structural pattern recognition
Document analysis 	
Handwriting recognition 	
Face and gesture 	
Biometrics 	
Speech and speaker 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 				
Last updated by Dou Sun in 2018-05-06
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