(covering but not limited to the following topics)
Track 1: Deep Learning
Basics of Deep Learning Algorithms
Deep Learning in Computer Vision
Combination of Natural Language Processing and Vision
Transfer Learning, Domain Adaptation
Reinforcement Learning
Joint Learning and Privacy Protection
Self-supervised and Unsupervised Learning
Interpretability of Deep Learning Models
Edge Computing
Intelligent Environmental Sensing
Automated Computing
Language Translation
Computer Games, etc.
Track 2: Computer Engineering Cloud computing
Computational Linguistics Data analysis
Operating System
Database management system
Computer program
Logical programming
Software design, software engineering Machine Learning
Cybersecurity, Information Systems
Hardware Implementation of Signal Processing
Image Processing and Understanding
Computer Vision and Virtual Reality
Internet and Wireless Communication
Multimedia and Human-Computer Interaction
Statistical Learning and Pattern Recognition
Artificial Intelligence and Neural Networks
Track 3: Image Processing
Pattern Recognition and Analysis
Image Feature Extraction
Range Image Processing
Image Segmentation
Image and Video Coding
Image and Video Retrieval
Image Enhancement and Compression
Medical Imaging
Multispectral Imaging
Stereo Vision
Digital Photography
Holographic Imaging
Image Acquisition Technology
Machine Vision