| TÃtulo : |
4th Chinese Conference, PRCV 2021, Beijing, China, October 29 – November 1, 2021, Proceedings, Part III |
| Tipo de documento: |
documento electrónico |
| Autores: |
Ma, Huimin, ; Wang, Liang, ; Zhang, Changshui, ; Wu, Fei, ; Tan, Tieniu, ; Wang, Yaonan, ; Lai, Jianhuang, ; Zhao, Yao, |
| Mención de edición: |
1 ed. |
| Editorial: |
[s.l.] : Springer |
| Fecha de publicación: |
2021 |
| Número de páginas: |
XIX, 633 p. 25 ilustraciones |
| ISBN/ISSN/DL: |
978-3-030-88010-1 |
| Nota general: |
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. |
| Palabras clave: |
IngenierÃa Informática y Redes Aplicaciones informáticas y de sistemas de información Inteligencia artificial Visión por computador Red informática IngenierÃa Informática Application software |
| Ãndice Dewey: |
006.37 Visión artificial |
| Resumen: |
El conjunto de cuatro volúmenes LNCS 13019, 13020, 13021 y 13022 constituye las actas arbitradas de la 4.ª Conferencia China sobre reconocimiento de patrones y visión por computadora, PRCV 2021, celebrada en Beijing, China, en octubre-noviembre de 2021. Los 201 artÃculos completos presentados fueron cuidadosamente revisado y seleccionado entre 513 presentaciones. Los artÃculos se han organizado en las siguientes secciones temáticas: Detección, seguimiento y reconocimiento de objetos; Visión por Computador, TeorÃas y Aplicaciones, Procesamiento y Análisis Multimedia; Procesamiento de imágenes y visión de bajo nivel; Procesamiento y Análisis de Imágenes Biomédicas; Aprendizaje automático, redes neuronales y aprendizaje profundo, y nuevos avances en la percepción y comprensión visual. |
| Nota de contenido: |
Low-level Vision and Image Processing -- SaliencyBERT: Recurrent Attention Network for Target-oriented Multimodal Sentiment Classification -- Latency-Constrained Spatial-Temporal Aggregated Architecture Search for Video Deraining -- Semantic-Driven Context Aggregation Network for Underwater Image Enhancement -- A Multi-resolution Medical Image Fusion Network with Iterative Back-Projection -- Multi-Level Discriminator and Wavelet Loss for Image Inpainting with Large Missing Area -- 3D^2Unet: 3D Deformable Unet for Low-Light Video Enhancement -- Single Image Specular Highlight Removal on Natural Scenes -- Document image binarization using visibility detection and point cloud segmentation -- LF-MAGNet: Learning Mutual Attention Guidance of Sub-Aperture Images for Light Field Image Super-Resolution -- Infrared Small Target Detection Based on Weighted Variation Coefficient Local Contrast Measure -- Scale-aware Distillation Network for Lightweight Image Super-Resolution -- Deep Multi-Illumination Fusion for Low-Light Image Enhancement -- Relational Attention with Textual Enhanced Transformer For Image Captioning -- Non-local Network Routing for Perceptual Image Super-Resolution -- Multi-Focus Image Fusion with Cooperative Image Multiscale Decomposition -- An Enhanced Multi-Frequency Learned Image Compression Method -- Noise Map Guided Inpainting Network for Low-Light Image Enhancement -- FIE-GAN: Illumination Enhancement Network for Face Recognition -- Illumination-Aware Image Quality Assessment for Enhanced Low-light Image -- Smooth Coupled Tucker Decomposition for Hyperspectral Image Super-resolution -- Self-Supervised Video Super-Resolution by Spatial Constraint and Temporal Fusion -- ODE-Inspired Image Denoiser: An End-to-End Dynamical Denoising Network -- Image Outpainting with Depth Assistance -- Light-weight Multi-channel Aggregation Network for Image Super-resolution -- Slow Video Detection Based on Spatial-temporal Feature Representation -- Biomedical Image Processing and Analysis -- The NL-SC Net for Skin Lesion Segmentation -- Two-Stage COVID-19 Lung Segmentation from CT Images by Integrating Rib Outlining and Contour Refinement -- Deep Semantic Edge for Cell Counting and Localization in Time-Lapse Microscopy Images -- A Guided Attention 4D Convolutional Neural Network for Modeling Spatio-Temporal Patterns of Functional Brain Networks -- Tiny-FASNet: A Tiny Face Anti-spoofing Method Based on Tiny Module -- Attention-based Node-Edge Graph Convolutional Networks for Identification of Autism Spectrum Disorder Using Multi-Modal MRI Data -- Segmentation of Intracellular Structures in Fluorescence Microscopy Images by Fusing Low-Level Feature -- Interactive Attention Sampling Network for Clinical Skin Disease Image Classification -- Cross-Model Attention Method for Medical Image Enhancement -- Multi-modal Face Anti-Spoofing based on a Single Image -- Non-Significant information Enhancement based Attention Network for Face Anti-Spoofing -- Early Diagnosis of Alzheimer's Disease Using 3D Residual Attention Network Based on Hippocampal Multi-indices Feature Fusion -- HPCReg-Net: Unsupervised U-Net Integrating Dilated Convolution and Residual Attention for Hippocampus Registration -- Characterization Multimodal Connectivity of Brain Network by Hypergraph GAN for Alzheimer's Disease Analysis -- Multimodal Representations Learning and Adversarial Hypergraph Fusion for Early Alzheimer's Disease Prediction -- Model-based gait recognition using graph network with pose sequences -- Multi-directional Attention Network for Segmentation of Pediatric Echocardiographic -- Deep-based Super-angular Resolution for Diffusion Imaging -- A Multiple Scale Encoders Network for Stroke Lesion Segmentation -- Nodule Synthesis and Selection for Augmenting Chest X-ray Nodule Detection -- Dual-Task Mutual Learning for Semi-Supervised Medical Image Segmentation -- DPACN:Dual Prior-guided Astrous Convolutional Network for Adhesive Pulmonary Nodules Segmentation on CT Sequence -- Face Anti-Spoofing Based on Cooperative Pose Analysis -- A Dark and Bright Channel Prior Guided Deep Network for Retinal Image Quality Assessment -- Continual Representation Learning via Auto-Weighted Latent Embeddings on Person ReID -- Intracranial Hematoma Classification Based on the Pyramid Hierarchical Bilinear Pooling -- Multi-Branch Multi-Task 3D-CNN for Alzheimer's Disease Detection. |
| En lÃnea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
4th Chinese Conference, PRCV 2021, Beijing, China, October 29 – November 1, 2021, Proceedings, Part III [documento electrónico] / Ma, Huimin, ; Wang, Liang, ; Zhang, Changshui, ; Wu, Fei, ; Tan, Tieniu, ; Wang, Yaonan, ; Lai, Jianhuang, ; Zhao, Yao, . - 1 ed. . - [s.l.] : Springer, 2021 . - XIX, 633 p. 25 ilustraciones. ISBN : 978-3-030-88010-1 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
| Palabras clave: |
IngenierÃa Informática y Redes Aplicaciones informáticas y de sistemas de información Inteligencia artificial Visión por computador Red informática IngenierÃa Informática Application software |
| Ãndice Dewey: |
006.37 Visión artificial |
| Resumen: |
El conjunto de cuatro volúmenes LNCS 13019, 13020, 13021 y 13022 constituye las actas arbitradas de la 4.ª Conferencia China sobre reconocimiento de patrones y visión por computadora, PRCV 2021, celebrada en Beijing, China, en octubre-noviembre de 2021. Los 201 artÃculos completos presentados fueron cuidadosamente revisado y seleccionado entre 513 presentaciones. Los artÃculos se han organizado en las siguientes secciones temáticas: Detección, seguimiento y reconocimiento de objetos; Visión por Computador, TeorÃas y Aplicaciones, Procesamiento y Análisis Multimedia; Procesamiento de imágenes y visión de bajo nivel; Procesamiento y Análisis de Imágenes Biomédicas; Aprendizaje automático, redes neuronales y aprendizaje profundo, y nuevos avances en la percepción y comprensión visual. |
| Nota de contenido: |
Low-level Vision and Image Processing -- SaliencyBERT: Recurrent Attention Network for Target-oriented Multimodal Sentiment Classification -- Latency-Constrained Spatial-Temporal Aggregated Architecture Search for Video Deraining -- Semantic-Driven Context Aggregation Network for Underwater Image Enhancement -- A Multi-resolution Medical Image Fusion Network with Iterative Back-Projection -- Multi-Level Discriminator and Wavelet Loss for Image Inpainting with Large Missing Area -- 3D^2Unet: 3D Deformable Unet for Low-Light Video Enhancement -- Single Image Specular Highlight Removal on Natural Scenes -- Document image binarization using visibility detection and point cloud segmentation -- LF-MAGNet: Learning Mutual Attention Guidance of Sub-Aperture Images for Light Field Image Super-Resolution -- Infrared Small Target Detection Based on Weighted Variation Coefficient Local Contrast Measure -- Scale-aware Distillation Network for Lightweight Image Super-Resolution -- Deep Multi-Illumination Fusion for Low-Light Image Enhancement -- Relational Attention with Textual Enhanced Transformer For Image Captioning -- Non-local Network Routing for Perceptual Image Super-Resolution -- Multi-Focus Image Fusion with Cooperative Image Multiscale Decomposition -- An Enhanced Multi-Frequency Learned Image Compression Method -- Noise Map Guided Inpainting Network for Low-Light Image Enhancement -- FIE-GAN: Illumination Enhancement Network for Face Recognition -- Illumination-Aware Image Quality Assessment for Enhanced Low-light Image -- Smooth Coupled Tucker Decomposition for Hyperspectral Image Super-resolution -- Self-Supervised Video Super-Resolution by Spatial Constraint and Temporal Fusion -- ODE-Inspired Image Denoiser: An End-to-End Dynamical Denoising Network -- Image Outpainting with Depth Assistance -- Light-weight Multi-channel Aggregation Network for Image Super-resolution -- Slow Video Detection Based on Spatial-temporal Feature Representation -- Biomedical Image Processing and Analysis -- The NL-SC Net for Skin Lesion Segmentation -- Two-Stage COVID-19 Lung Segmentation from CT Images by Integrating Rib Outlining and Contour Refinement -- Deep Semantic Edge for Cell Counting and Localization in Time-Lapse Microscopy Images -- A Guided Attention 4D Convolutional Neural Network for Modeling Spatio-Temporal Patterns of Functional Brain Networks -- Tiny-FASNet: A Tiny Face Anti-spoofing Method Based on Tiny Module -- Attention-based Node-Edge Graph Convolutional Networks for Identification of Autism Spectrum Disorder Using Multi-Modal MRI Data -- Segmentation of Intracellular Structures in Fluorescence Microscopy Images by Fusing Low-Level Feature -- Interactive Attention Sampling Network for Clinical Skin Disease Image Classification -- Cross-Model Attention Method for Medical Image Enhancement -- Multi-modal Face Anti-Spoofing based on a Single Image -- Non-Significant information Enhancement based Attention Network for Face Anti-Spoofing -- Early Diagnosis of Alzheimer's Disease Using 3D Residual Attention Network Based on Hippocampal Multi-indices Feature Fusion -- HPCReg-Net: Unsupervised U-Net Integrating Dilated Convolution and Residual Attention for Hippocampus Registration -- Characterization Multimodal Connectivity of Brain Network by Hypergraph GAN for Alzheimer's Disease Analysis -- Multimodal Representations Learning and Adversarial Hypergraph Fusion for Early Alzheimer's Disease Prediction -- Model-based gait recognition using graph network with pose sequences -- Multi-directional Attention Network for Segmentation of Pediatric Echocardiographic -- Deep-based Super-angular Resolution for Diffusion Imaging -- A Multiple Scale Encoders Network for Stroke Lesion Segmentation -- Nodule Synthesis and Selection for Augmenting Chest X-ray Nodule Detection -- Dual-Task Mutual Learning for Semi-Supervised Medical Image Segmentation -- DPACN:Dual Prior-guided Astrous Convolutional Network for Adhesive Pulmonary Nodules Segmentation on CT Sequence -- Face Anti-Spoofing Based on Cooperative Pose Analysis -- A Dark and Bright Channel Prior Guided Deep Network for Retinal Image Quality Assessment -- Continual Representation Learning via Auto-Weighted Latent Embeddings on Person ReID -- Intracranial Hematoma Classification Based on the Pyramid Hierarchical Bilinear Pooling -- Multi-Branch Multi-Task 3D-CNN for Alzheimer's Disease Detection. |
| En lÃnea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
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