Track 1 - Image, Speech, Signal and Video Processing
Signal, image and video processing
Image and video analysis and understanding
Audio and acoustic processing and analysis
Segmentation, features and descriptors
Texture and color analysis
Automatic speech and speaker recognition
Multimedia analysis, indexing and retrieval
Vision sensors
Medical image and signal analysis
Computer-aided detection and diagnosis
Image guidance and robot guidance of interventions
Face recognition
Image compression, coding, and encryption
Graph theory in image processing
Natural language processing

Track 2 - Pattern Recognition and Machine Learning
Statistical and structural pattern recognition
Machine learning and data mining
Artificial neural networks
Dimensionality reduction and manifold learning
Classification and clustering
Symbolic learning
Active and ensemble learning
Deep learning
Machine learning
Support vector machine
Neural networks
Bayesian learning
Transfer learning
Reinforcement learning and temporal models
Semi-supervised learning and spectral methods

Track 3 - Computer Vision
Vision sensors
Biologically motivated vision
Illumination and reflectance modeling
Image based modeling
Physics-based vision
Perceptual organization
Computational photography
3D shape recovery
2D/3D object detection and recognition
Cognitive and embodied vision
Occlusion and shadow detection
Vision for graphics
Scene understanding 

Track 4 - Data Science and Artificial
Intelligence Application
Knowledge Engineering
Computational intelligence
Intelligent agent
Intelligent control 
Knowledge management 
Artificial Immune System
Big data Data mining
Distributed and parallel learning
Human Computer Interaction
Fuzzy Systems and Control
Intelligent Systems
Soft Computing
Graphics algorithms