| Track 1: Computer Vision and Image Understanding |
Track 2: Pattern Recognition and Machine Learning |
- Image processing and analysis
- Image enhancement and restoration
- Feature extraction and representation
- Object detection and recognition
- Image segmentation and scene understanding
- Video analysis and motion tracking
- 3D vision and reconstruction
- Vision-based applications
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- Pattern recognition methods
- Statistical learning and data analysis
- Machine learning algorithms
- Deep learning techniques
- Feature learning and representation learning
- Classification and clustering
- Dimensionality reduction
- Pattern recognition applications
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| Track 3: Intelligent Systems and Artificial Intelligence |
Track 4: Intelligent Perception and Applications |
- Intelligent systems and architectures
- Autonomous systems and robotics
- Intelligent control and optimization
- Knowledge representation and reasoning
- Natural language processing
- Human–computer interaction
- Multi-agent systems
- AI applications in engineering
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- Multimodal perception and data fusion
- Sensor-based perception systems
- Intelligent sensing technologies
- Edge intelligence and embedded systems
- Smart cities and intelligent transportation
- Medical imaging and analysis
- Industrial vision systems
- Intelligent monitoring and applications
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