(The following topics include but are not limited to)
Topic 1. Target detection
Optical sensors and multispectral imaging
Target detection in visible and near infrared spectra
Object detection based on optical imaging
Laser radar (LiDAR) and optical radar
Application of Lidar in automatic driving
Signal processing and target recognition of liDAR
Target recognition based on holographic imaging
Optical microscopy imaging and target recognition
Optical feature extraction and analysis
Object detection based on optical features
Optical coherence Tomography (OCT)
Application of OCT to target recognition in medical imaging
OCT technology in industrial inspection
Optical properties and material identification
Computational imaging and optical coding
Real-time optical monitoring and inspection system
Quantum optics and target recognition
Optical Augmented Reality (AR) and Virtual Reality (VR)
Machine learning and artificial intelligence in optical technology
Object detection in autonomous vehicles
Human-computer interaction object recognition system
Topic 2. Deep Learning
Basic algorithms for deep learning
Deep learning in computer vision
Combining natural language processing with vision
Transfer learning
Domain adaptation
Reinforcement learning
Joint learning and privacy protection
Self-supervised and unsupervised learning
Interpretability of deep learning models
Edge computing
Topic 3. Neural networks
Robot control, optimization combination
Knowledge engineering, artificial intelligence
Logic programming
Human-computer interaction
Deep learning
Signal processing
Information extraction
Natural language inference
Deep neural network
Convolutional neural network
Generative adversarial network
Recurrent neural networks
Neural network structure
Neural symbol mixing model
Interpretability and visualization methods of neural networks
Neural network analysis and research in medical, financial, energy and other fields