(The following topics include but are not limited to)
Track 1: Computer Vision
Computer Vision and Visualization
Computer Graphics and Image Processing
Big Data and Computer Vision
Distributed Intelligent Processing
Concurrent and Parallel Processing
Biometric Recognition
Biomedical Image Analysis
Remote Sensing Images, Computational Photography
Intelligent Database Systems
Computer Vision and Speech Understanding
Object Detection and Segmentation
Super-Resolution Image Reconstruction
Visual Object Tracking
Image Processing
Image and Video Retrieval
Graph Neural Networks
Track 2: Pattern Recognition
Artificial Intelligence Techniques in Pattern Recognition
Biometrics (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
Theoretical Foundations of Pattern Recognition
Natural Language Processing and Recognition
Object Detection, Tracking and Recognition
Principles of Pattern Recognition
Robots, Remote Sensing
Shape and Texture Analysis
Statistical Pattern Recognition
Syntactic and Structural Pattern Recognition
Speech and Speech Recognition
Track 3: Deep Learning
Cognitive Architecture Machine Learning
Autonomous computing
Image processing
Information retrieval and reuse, etc. ……