- Computer vision and pattern recognition
- Image and video analysis
- Object detection and tracking
- Scene understanding and visual perception
- 3D vision and point cloud processing
- Multimodal perception and sensor fusion
- Human–computer interaction and visual interfaces
- Biometric recognition and visual security
- Perception for robotics and autonomous systems
|
- Neural network architectures and models
- Deep learning methods and optimization
- Convolutional, recurrent, and graph neural networks
- Representation learning and feature extraction
- Self-supervised and reinforcement learning
- Robust, efficient, and interpretable neural networks
- Distributed and federated learning
- Brain-inspired and neuromorphic computing
- Neural networks for perception and intelligent systems
|