(The following topics include but are not limited to)
Track 1: Machine Vision and Image Understanding
Image enhancement, restoration, super-resolution reconstruction and restoration
Image segmentation, registration, feature extraction and semantic segmentation
Object detection, recognition, tracking and instance segmentation
Three-dimensional vision, point cloud processing, stereo matching and depth estimation
Video analysis and action recognition, behavior understanding
Scene understanding and semantic/panoramic segmentation
Visual Transformer, state space models and new visual architectures
Multimodal visual fusion and cross-modal semantic alignment
Computational imaging, neural rendering and light field imaging
Remote sensing image processing, hyperspectral analysis and geographic information interpretation
Medical image analysis and computer-aided diagnosis
Face recognition, pedestrian re-identification and biometric authentication
Optical character recognition and document understanding
Interpretability of visual models and trustworthy AI
Generative AI such as diffusion models in visual content understanding and synthesis
Track 2: Intelligent Detection Technology and Industrial Applications
Intelligent defect recognition and AI target detection in industrial scenarios
Visual inspection and intelligent quality assessment for complex working conditions
Multimodal fusion inspection (image and point cloud fusion, multi-sensor collaboration)
Small sample, weak supervision, self-supervised visual detection methods
Application of large models and visual base models in intelligent detection
Design of intelligent detection equipment and online detection systems
Three-dimensional optical measurement, precision measurement and high-end detection technology
Modeling, calibration and feature acquisition of visual inspection systems
Automatic optical inspection of semiconductor wafers, chips, PCBs, lithium batteries, etc.
Abnormal identification, fault diagnosis and predictive maintenance
Edge intelligence and real-time visual inspection technology
Robust detection in low-light, strong noise and other complex environments
Visual inspection for high-end manufacturing industries such as aerospace and automotive manufacturing
Calibration of multiple sensors and perception fusion in complex environments
Digital twin-driven visual inspection and quality control
Track 3: Deep Learning, Edge Intelligence and Emerging Applications
Optimization of deep learning and neural network architectures in visual tasks
Self-supervised/semi-supervised/weak-supervised/unsupervised visual representation learning
Small sample learning, zero sample learning and domain adaptation
Visual-language multimodal fusion and cross-modal understanding
Model compression, pruning, quantization and knowledge distillation
Lightweight network design and visual deployment on mobile devices/edge computing
Embodied intelligence and active vision of robots
Visual SLAM, simultaneous localization and mapping
Robot vision servo control, object recognition and grasping
...