Computational Visual Media : 13th International Conference, CVM 2025, Hong Kong SAR, China, April 19–21, 2025, Proceedings, Part I / edited by Piotr Didyk, Junhui Hou.

Format:

Book

Contributor:

Didyk, Piotr., Editor.

Hou, Junhui., Editor.

Series:

Lecture Notes in Computer Science, 1611-3349 ; 15663

Language:

English

Subjects (All):

Computer vision.

Pattern recognition systems.

Application software.

Computer graphics.

Artificial intelligence.

Algorithms.

Computer Vision.

Automated Pattern Recognition.

Computer and Information Systems Applications.

Computer Graphics.

Artificial Intelligence.

Local Subjects:

Computer Vision.

Automated Pattern Recognition.

Computer and Information Systems Applications.

Computer Graphics.

Artificial Intelligence.

Algorithms.

Physical Description:

1 online resource (XXV, 454 p. 171 illus., 167 illus. in color.)

Edition:

1st ed. 2025.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2025.

Summary:

This book constitutes the refereed proceedings of CVM 2025, the 13th International Conference on Computational Visual Media, held in Hong Kong SAR, China, in April 2025. The 67 full papers were carefully reviewed and selected from 335 submissions. The papers are organized in topical sections as follows: Part I: Medical Image Analysis, Detection and Recognition, Image Enhancement and Generation, Vision Modeling in Complex Scenarios Part II: 3D Geometry and Rendering, Generation and Editing, Image Processing and Optimization Part III: Image and Video Analysis, Multimodal Learning, Geometrical Processing, Applications.

Contents:

Medical Image Analysis AGTCNet: Hybrid Network Based on AGT and Curvature Information for Skin Lesion Detection

Among General Spine Segmentation with Multi-scale and Discriminate Feature Fusion

SSCL: A Spatial-Spectral and Commonality Learning Network for Semi-Supervised Medical Image Segmentation

A Multiscale Edge-Guided Polynomial Approximation Network for Medical Image Segmentation

HIFNet: Medical Image Segmentation Network Utilizing Hierarchical Attention Feature Fusion

Ynet: medical image segmentation model based on wavelet transform boundary enhancement

An Effective Algorithm for Skin Disease Segmentation Combining inter-channel Features and Spatial Feature Enhancement

Detection and Recognition A Comprehensive Framework for Fine-Grained Object Recognition in Remote Sensing

Towards Reflected Object Detection: A Benchmark

Consensus-aware Balance Learning for Sexually Suggestive Video Classification

LightStar-Net: A Pseudo-Raw Space Enhancement for Efficient Low-Light Object Detection

DASSF: Dynamic-Attention Scale-Sequence Fusion for Aerial Object Detection

Image Enhancement and Generation Degradation-Aware Frequency-Separated Transformer for Blind Super-Resolution

MAAU-UIE : Multiple Attention Aggregation U-Net for Underwater Image Enhancement

MANet-CycleGAN: An Unsupervised LDCT Image Denoising Method Based on Channel Attention and Multi-Scale Features

M3: Manipulation Mask Manufacturer for Arbitrary-Scale Super-Resolution Mask

Agent-Conditioned Multi-Contrast MRI Super-Resolution for Cross-Subject

Vision Modeling in Complex Scenarios SEA-Net: A Severity-Aware Network with Visual Prompt Tuning for Underwater Semantic Segmentation

LAGNet: A Location-Aware Guidance Network for Weak and Strip Defect Detection

Weighted Spatiotemporal Feature and Multi-task Learning for Masked Facial Expression Recognition

MBGNet：Mamba-Based Boundary-Guided Multimodal Medical Image Segmentation Network

MSD: A Mask-Guided and Semantic-Guided Diffusion-based Framework for Stone Surface Defect Detection

A New Heterogeneous Mixture of Experts Model for Deepfake Detection.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

981-9658-09-8

OCLC:

1524423446