(Including but not limited to the following topics)
Track 1: Pattern Recognition
Artificial intelligence techniques in pattern recognition
Biometric recognition (including face recognition)
Data mining and big data
File processing and recognition
Advanced learning methods
Linear models and dimensionality reduction
Machine learning methods
Model representation and selection
Fuzzy and hybrid techniques in PR
Image processing and analysis
Mathematical theories of pattern recognition
Natural language processing and recognition
Object detection, tracking and recognition
Principles of pattern recognition
Shape and texture analysis
Statistical pattern recognition
Track 2: Computer Vision
Image processing and analysis
Multimodal fusion
3D reconstruction and point clouds
Video analysis and action recognition
Autonomous driving vision
Medical image processing
Virtual augmented reality
Weakly supervised visual learning
Image super-resolution
Real-time vision systems, etc.
Track 3: Image Processing
Image classification
Virtual environment Human-machine interface
3D Image Processing
Graphics Algorithms and Applications
Visual Machine Learning Technology
Medical Image Processing
Integration of Virtual Reality and Multimedia
Quantum Image Processing
Image Segmentation and Reconstruction
Image Enhancement and Restoration Techniques
Big Data Visual Information Processing
Mobile and Embedded Vision Systems
Integration of Image Processing in Specific Applications
Image Processing in Augmented Reality and Virtual Reality... .