Image and Graphics Technologies and Applications

Image processing and enhancement techniques.- Underwater Image Enhancement and Restoration Techniques: A Comprehensive Review, Challenges, and Future Trends.- A self-supervised learning reconstruction algorithm with an encoder-decoder architecture for diffuse optical tomography.- TSR-Net: A Two-step Reconstruction Approach for Cherenkov-excited Luminescence Scanned Tomography.- A method for enhancing the quality of compressed videos based on 2D convolution and aggregating spatio-temporal information.- Multimedia-based informal learning in museum using augmented reality.- Machine vision and 3D reconstruction.- MAIM-VO A Robust Visual Odometry with Mixed MLP for Weak Textured Environment.- Visual SLAM Algorithm Based on Target Detection and Direct Geometric Constraints in Dynamic Environments.- 3D Shape Similarity Measurement Based on Scale Invariant Functional Maps.- Visualization Research on Industry and Spatial Distribution of Industrial Heritage in New China.- Image/Video big data analysis and understanding.- SCGTS: Semantic Content Guiding Teacher-Student Network for Group Activity Recognition.- Infrared Small Target Detection Based on Prior weighed Sparse Decomposition.- CPML: Category Probability Mask Learning for  Fine-Grained Visual Classification.- DPFMN: Dual-Path Feature Match Network for RGB-D and RGB-T Salient Object Detection.- An Optical Flow-based Fight Detection Method for Campus Scenes.- Attention-Guided Neural Network for Face Mask Detection.- Double-Stream Network for Clothes-Changing Person Re-identification Based on Clothes Related Feature Suppression and Attention Mechanism.- Semantic Guided Attention for Weakly Supervised Group Activity Recognition.- Computer graphics.- Research on Contrast Calculation Method for Color Image.- A position-based dynamics simulation of liver deformation