Computational Visual Media
portes grátis
Computational Visual Media
13th International Conference, CVM 2025, Hong Kong SAR, China, April 19-21, 2025, Proceedings, Part I
Didyk, Piotr; Hou, Junhui
Springer Nature Switzerland AG
05/2025
450
Mole
Inglês
9789819658084
Pré-lançamento - envio 15 a 20 dias após a sua edição
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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.
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Animation and physical simulation;Cognition of visual media;Content security of visual media;Datasets and benchmarking of visual media;Editing and composition of visual media;Enhancement and re-rendering of visual media;Geometric computing for image and video;Geometry modeling and processing;Generative models;Low-level analysis, motion, and tracking of visual media;Image and video retrieval;Interactive editing of visual media;Machine learning for visual media;Recognition and understanding of visual media;Representation learning for computer vision;Rendering;Social networks and social media;Scene analysis and understanding;Visualization and visual analytics;Vision and other modalities
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.
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Animation and physical simulation;Cognition of visual media;Content security of visual media;Datasets and benchmarking of visual media;Editing and composition of visual media;Enhancement and re-rendering of visual media;Geometric computing for image and video;Geometry modeling and processing;Generative models;Low-level analysis, motion, and tracking of visual media;Image and video retrieval;Interactive editing of visual media;Machine learning for visual media;Recognition and understanding of visual media;Representation learning for computer vision;Rendering;Social networks and social media;Scene analysis and understanding;Visualization and visual analytics;Vision and other modalities
