(The following topics include but are not limited to)
Topic 1: Computer Vision
Big Data and Computer Vision
Biometric recognition
Biomedical Image Analysis 
Remote sensing images
Computational photography
Optimization and learning methods
Sensing and Display
Dataset and performance analysis
Deep Learning in Computer Vision
Document Image Analysis
character recognition 
Attitude analysis
Behavior recognition
Visual model
Video analysis
Multimodal information processing
Visual and Language
Motion and tracking
three-dimensional reconstruction
human-computer interaction
Topic 2: Image Processing
Pattern recognition and analysis
Facial recognition
Image feature extraction
Range image processing
image segmentation
Object recognition
Emotional recognition
Picture quality
Image and video encoding
Image and video retrieval
Image enhancement and compression
Medical imaging
Multispectral imaging
Stereoscopic vision
Digital photography
Holographic imaging
Image acquisition technology
Topic 3: Pattern recognition
Natural Language Processing and Recognition
Object detection, tracking, and recognition
Principles of Pattern Recognition
Robots and Deep Learning
Model representation and selection
Image processing and analysis
File processing and recognition
Data mining and big data
Biometric identification
computer vision 
Artificial Intelligence in Pattern Recognition
Pattern recognition and signal processing
automation
Transfer learning
artificial neural network
human-computer interaction
Robotics and Intelligent Systems
Statistical pattern recognition