This book constitutes the refereed proceedings of ICIVIS2025, held in Hangzhou, China, in May 2025. This book provides a comprehensive collection of cutting-edge research and innovative solutions in image, vision and intelligent systems. The primary audience consists of academic researchers, industry professionals, and graduate students working in the domains of image, vision, and intelligent systems. This publication serves as an essential resource for those seeking to stay at the forefront of their respective fields, expand their knowledge, and explore new avenues for research and development.
FundusMorph: A Segmentation-Free Registration Framework for Deformable
Multi-Modal Fundus Image Registration.- Research on the architecture of the
generative artificial intelligence model in the power network security
scenario.- A street-to-aerial image dataset with eye-tracking for cross-view
matching.- Surface defect detection of hot rolled steel based on Dual-stripe
Window Pyramid Network.-SGAGS: Semantic-Guided Adaptive 3D Gaussian
Splatting.- Reconstruction Based Multimodal Sentiment Analysis with Uncertain
Missing Modalities.- Adaptive Few-Shot Learning for Entity Relation
Extraction.- An image-based human body reconstruction method based on
improved PIFUHD.- E-MRNet: An Edge-Morphological Refinement Network with
Multi-Scale Feature Enhancement for Medical Pathology Image Segmentation.-
Deep Learning Approach for Shrimp Weight Estimation.- Tobacco Leaf Pest and
Disease Detection Algorithm based on Improved YOLOv10n.- LA-PUNet:A
Lightweight and Adaptive Framework for Efficient PointCloud Upsampling with
Geometric Consistency.- Improvement of cervical cancer tissue pathology
images classification and training method based on Few-Shot Learning.-
StrokeNet: Multi-Path 3D-2D CNN Architecture for CT-based Stroke Detection.-
The Application Value of Large Language Models in ACR TI-RADS Grading
Evaluation of Thyroid Nodules.- A U-net Architecture with Kolmogorov-Arnold
Networks and Hybrid Pooling Attention for Medical Image Segmentation.
Peng You was born in Fengcheng, Jiangxi, China. He received the B.S., M.S., and Ph.D. degrees from the National University of Defense Technology (NUDT), Changsha, China, in 2005, 2008, and 2014, respectively, all in electrical engineering. Since 2014, he has been a Lecturer with the School of Electronic Science and Engineering, NUDT. His current research interests include the design of architecture for space information networks and cognitive radar.
Yuhui Zheng (Senior Member, IEEE) received the B.S. degree in chemistry and the Ph.D. degree in computer science from Nanjing University of Science and Technology (NJUST), Nanjing, Jiangsu, China, in 2004 and 2009, respectively. He is currently a Full Professor with the School of Computer Science, Qinghai Normal University, Xining, China. His research interests cover image processing, pattern recognition, and remote sensing information systems.
Lisainfo e-raamatute kohta