(Include but not limited to)
Track 1: Machine Vision
Image Formation and Optical Fundamentals
Image Preprocessing and Enhancement Techniques
Feature Extraction and Image Classification
Object Detection, Recognition and Tracking
Image segmentation
Three-dimensional vision and reconstruction
Neural rendering and scene representation
Computational imaging and photography
Application of deep learning and neural network architectures in vision
Self-supervised, few-shot, and zero-shot learning
Multimodal visual learning and understanding
Fine-tuning and adaptation of visual base models
Interpretable and trustworthy computer vision
Efficient and edge vision computing (lightweight models, edge inference)
Visual localization and SLAM
Synthetic data and simulation-driven visual training
Track 2: Industrial inspection and quality control
Industrial defect detection and intelligent quality assessment
Surface defect detection and classification technology
Three-dimensional vision inspection and online measurement
Optical inspection and machine vision system design
Integration of industrial cameras and imaging systems
Multi-sensor fusion industrial inspection
Robust detection methods in complex scenarios
Vision detection in low-light and high-noise environments
Defect detection and classification with small samples, weak supervision, and self-supervision
Anomaly detection and unsupervised defect recognition
Edge intelligence and real-time detection in visual inspection
Calibration and error compensation of visual inspection systems
Online inspection and quality closed-loop control
Application of deep learning and visual Transformer in inspection
Application of large models and visual base models in inspection
Non-destructive testing (NDT) and non-destructive evaluation technology
Integration of intelligent detection systems and engineering applications
Track 3: Intelligent manufacturing
Industrial Internet of Things and equipment integration
Digital twin modeling and simulation of production systems
Intelligent production systems and autonomous manufacturing
Data collection and edge computing in manufacturing processes
Industrial big data analysis and manufacturing decision optimization
Human-machine collaborative manufacturing and interaction
Predictive maintenance and equipment health management
Intelligent robots and automated assembly
Modeling and monitoring of additive manufacturing processes
AI and machine learning in intelligent manufacturing
Security and protection of information physical production systems
Cloud manufacturing and distributed manufacturing systems
Augmented reality and virtual reality in intelligent manufacturing
Sustainable and green manufacturing
......