Topic 1: Deep Learning Techniques
Cognitive architecture
Common sense reasoning
Machine learning
Visual reasoning
Intelligent narrative
Topic 2: Applications of Deep Learning
Smart environmental perception
Automated computing
Biochemical systems
Translation
Computer games
Image processing
Intelligent tutoring systems 
Topic 3: Pattern recognition
Artificial Intelligence Technology in Pattern Recognition
Biometric recognition (including facial recognition)
Computer Vision
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 Theory of Pattern Recognition
Natural Language Processing and Recognition
Object detection, tracking, and recognition
Pattern Recognition Principles
Robot
Remote sensing
Shape and texture analysis
Statistical pattern recognition
Syntax and structural pattern recognition
Speech and Speech Recognition
Topic Four: Computer Vision
Big Data and Computer Vision
Biometric recognition
Biomedical Image Analysis
Remote sensing image
Computational photography
Object detection algorithm
Sensing and Display
Dataset and Performance Analysis
Deep Learning in Computer Vision
Document Image Analysis
Character recognition
Posture analysis
Behavior recognition
Visual model
Video analysis
Multimodal Information Processing
Vision and Language
Sports and Tracking
Three-dimensional reconstruction
Human-computer interaction