(The following topics include but are not limited to)
Topic 1: Computer Vision
Big Data and computer vision
Biometric identification
Biomedical image analysis
Remote sensing image, computational photography
Optimization and learning methods
Sensing and display
Data sets and performance analysis
Deep learning for computer vision
Visual model
Video analysis, multimodal information processing
Vision and language
Motion and tracking
3D reconstruction, human-computer interaction
Topic 2: Base model
Foundation model framework
Model training and optimization
Distributed computing, high-performance computing optimization
Data management and efficient access
Large model compilation optimization
Multimodal fusion
Intensive learning, pre-training
Image classification and object detection
Image generation and editing
Multi-modal understanding, deep reasoning
Urban computing
Spatiotemporal data mining
Natural language processing, visual language models
Topic 3: Machine Learning
Machine learning for network slicing optimization
Machine learning 5G system
Machine learning for user behavior prediction
New innovator learning methods
Optimize machine learning methods
Performance analysis of machine learning algorithms
Experimental evaluation of machine learning
Data mining in heterogeneous networks
Machine learning multimedia
Iot machine learning
Machine Learning security and protection
Distributed and distributed machine learning algorithms
Data analysis and mining