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Autor Wu, Fei |
Documentos disponibles escritos por este autor (4)
Crear una solicitud de compra Refinar búsquedaPattern Recognition and Computer Vision / Ma, Huimin ; Wang, Liang ; Zhang, Changshui ; Wu, Fei ; Tan, Tieniu ; Wang, Yaonan ; Lai, Jianhuang ; Zhao, Yao
TÃtulo : Pattern Recognition and Computer Vision : 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 – November 1, 2021, Proceedings, Part I / 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, 617 p. 219 ilustraciones, 208 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-88004-0 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Aprendizaje automático Implementación de sistema informático Redes de comunicación informática Visión por computador Sistema informático Red informática IngenierÃa Informática IngenierÃa Informática y Redes Clasificación: 006.37 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: Object Detection, Tracking and Recognition -- High-performance Discriminative Tracking with Target-aware Feature Embeddings.-3D Multi-Object Detection and Tracking with Sparse Stationary LiDAR -- CRNet: Centroid Radiation Network for Temporal Action Localization -- Weakly Supervised Temporal Action Localization with Segment-Level Labels -- Locality-constrained collaborative representation with multi-resolution dictionary for face recognition -- Fast and Fusion: Real-time Pedestrian Detector Boosted by Body-head Fusion -- STA-GCN: Spatio-Temporal AU Graph Convolution Network for Facial Micro-Expression Recognition -- Attentive Contrast Learning Network for Fine-grained Classification -- Relation-Based Knowledge Distillation for Anomaly Detection -- High Power-efficient and Performance-density FPGA Accelerator for CNN-based Object Detection -- Relation-Guided Actor Attention for Group Activity Recognition -- MVAD-Net: Learning View-Aware and Domain-Invariant Representation for Baggage Re-Identification -- Joint Attention Mechanism for Unsupervised Video Object Segmentation.-Foreground Feature Selection and Alignment for Adaptive Object Detection -- Exploring Category-shared and Category-specific Features for Fine-Grained Image Classification.-Deep Mixture of Adversarial Autoencoders Clustering Network -- SA-InterNet: Scale-aware Interaction Network for Joint Crowd Counting and Localization -- Conditioners for Adaptive Regression Tracking -- Attention Template Update Model for Siamese Tracker -- Insight on Attention Modules for Skeleton-Based Action Recognition -- AO-AutoTrack: Anti-Occlusion Real-Time UAV Tracking Based on Spatio-temporal Context -- Two-stage Recognition Algorithm for Untrimmed Converter Steelmaking Flame Video -- Scale-aware Multi-branch Decoder for Salient Object Detection -- Dense End Face Detection Network for Counting Bundled Steel Bars Based on Densely End Face Detection Network for Counting Bundled Steel Bars Based on YoloV5 -- POT: A Dataset of Panoramic Object Tracking -- DP-YOLOv5:Computer Vision-Based Risk Behavior Detection in Power Grids.-Distillation-based Multi-Exit Fully Convolutional Network for Visual Tracking.-Handwriting Trajectory Reconstruction using Spatial-Temporal Encoder-Decoder Network -- Scene Semantic Guidance for Object Detection -- Training Person Re-Identification Networks with Transferred Images -- ACFIM: Adaptively Cyclic Feature Information- interaction model for Object Detection -- Research of robust video object tracking algorithm based on Jetson Nano embedded platform -- Classification-IoU Joint Label Assignment For End-to-End Object Detection -- Joint Learning Appearance and Motion Models for Visual Tracking -- ReFlowNet: Revisiting Coarse-to-fine Learning of Optical Flow -- Local Mutual Metric Network for Few-Shot Image Classification -- SimplePose V2: Greedy Offset-Guided Keypoint Grouping for Human Pose Estimation -- Control Variates for Similarity Search -- Pyramid Self-Attention for Semantic Segmentation.-Re-identify Deformable Targets for Visual Tracking -- End-to-End Detection and Recognition of Arithmetic Expressions -- FD-Net: A Fully Dilated Convolutional Network for Historical Document Image Binarization -- Appearance-Motion Fusion Network for Video Anomaly Detection -- Can DNN Detectors Compete against Human Vision in Object Detection Task? -- Group Re-Identification Based on single feature attention learning network(SFALN) -- Contrastive Cycle Consistency Learning for Unsupervised Visual Tracking -- Group-Aware Disentangle Learning for Head Pose Estimation -- Facilitating 3D Object Tracking in Point Clouds with Image Semantics and Geometry -- Multi-Criteria Confidence Evaluation for Robust Visual Tracking. Tipo de medio : Computadora Summary : The 4-volume set LNCS 13019, 13020, 13021 and 13022 constitutes the refereed proceedings of the 4th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2021, held in Beijing, China, in October-November 2021. The 201 full papers presented were carefully reviewed and selected from 513 submissions. The papers have been organized in the following topical sections: Object Detection, Tracking and Recognition; Computer Vision, Theories and Applications, Multimedia Processing and Analysis; Low-level Vision and Image Processing; Biomedical Image Processing and Analysis; Machine Learning, Neural Network and Deep Learning, and New Advances in Visual Perception and Understanding. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Pattern Recognition and Computer Vision : 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 – November 1, 2021, Proceedings, Part I / [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, 617 p. 219 ilustraciones, 208 ilustraciones en color.
ISBN : 978-3-030-88004-0
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Aprendizaje automático Implementación de sistema informático Redes de comunicación informática Visión por computador Sistema informático Red informática IngenierÃa Informática IngenierÃa Informática y Redes Clasificación: 006.37 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: Object Detection, Tracking and Recognition -- High-performance Discriminative Tracking with Target-aware Feature Embeddings.-3D Multi-Object Detection and Tracking with Sparse Stationary LiDAR -- CRNet: Centroid Radiation Network for Temporal Action Localization -- Weakly Supervised Temporal Action Localization with Segment-Level Labels -- Locality-constrained collaborative representation with multi-resolution dictionary for face recognition -- Fast and Fusion: Real-time Pedestrian Detector Boosted by Body-head Fusion -- STA-GCN: Spatio-Temporal AU Graph Convolution Network for Facial Micro-Expression Recognition -- Attentive Contrast Learning Network for Fine-grained Classification -- Relation-Based Knowledge Distillation for Anomaly Detection -- High Power-efficient and Performance-density FPGA Accelerator for CNN-based Object Detection -- Relation-Guided Actor Attention for Group Activity Recognition -- MVAD-Net: Learning View-Aware and Domain-Invariant Representation for Baggage Re-Identification -- Joint Attention Mechanism for Unsupervised Video Object Segmentation.-Foreground Feature Selection and Alignment for Adaptive Object Detection -- Exploring Category-shared and Category-specific Features for Fine-Grained Image Classification.-Deep Mixture of Adversarial Autoencoders Clustering Network -- SA-InterNet: Scale-aware Interaction Network for Joint Crowd Counting and Localization -- Conditioners for Adaptive Regression Tracking -- Attention Template Update Model for Siamese Tracker -- Insight on Attention Modules for Skeleton-Based Action Recognition -- AO-AutoTrack: Anti-Occlusion Real-Time UAV Tracking Based on Spatio-temporal Context -- Two-stage Recognition Algorithm for Untrimmed Converter Steelmaking Flame Video -- Scale-aware Multi-branch Decoder for Salient Object Detection -- Dense End Face Detection Network for Counting Bundled Steel Bars Based on Densely End Face Detection Network for Counting Bundled Steel Bars Based on YoloV5 -- POT: A Dataset of Panoramic Object Tracking -- DP-YOLOv5:Computer Vision-Based Risk Behavior Detection in Power Grids.-Distillation-based Multi-Exit Fully Convolutional Network for Visual Tracking.-Handwriting Trajectory Reconstruction using Spatial-Temporal Encoder-Decoder Network -- Scene Semantic Guidance for Object Detection -- Training Person Re-Identification Networks with Transferred Images -- ACFIM: Adaptively Cyclic Feature Information- interaction model for Object Detection -- Research of robust video object tracking algorithm based on Jetson Nano embedded platform -- Classification-IoU Joint Label Assignment For End-to-End Object Detection -- Joint Learning Appearance and Motion Models for Visual Tracking -- ReFlowNet: Revisiting Coarse-to-fine Learning of Optical Flow -- Local Mutual Metric Network for Few-Shot Image Classification -- SimplePose V2: Greedy Offset-Guided Keypoint Grouping for Human Pose Estimation -- Control Variates for Similarity Search -- Pyramid Self-Attention for Semantic Segmentation.-Re-identify Deformable Targets for Visual Tracking -- End-to-End Detection and Recognition of Arithmetic Expressions -- FD-Net: A Fully Dilated Convolutional Network for Historical Document Image Binarization -- Appearance-Motion Fusion Network for Video Anomaly Detection -- Can DNN Detectors Compete against Human Vision in Object Detection Task? -- Group Re-Identification Based on single feature attention learning network(SFALN) -- Contrastive Cycle Consistency Learning for Unsupervised Visual Tracking -- Group-Aware Disentangle Learning for Head Pose Estimation -- Facilitating 3D Object Tracking in Point Clouds with Image Semantics and Geometry -- Multi-Criteria Confidence Evaluation for Robust Visual Tracking. Tipo de medio : Computadora Summary : The 4-volume set LNCS 13019, 13020, 13021 and 13022 constitutes the refereed proceedings of the 4th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2021, held in Beijing, China, in October-November 2021. The 201 full papers presented were carefully reviewed and selected from 513 submissions. The papers have been organized in the following topical sections: Object Detection, Tracking and Recognition; Computer Vision, Theories and Applications, Multimedia Processing and Analysis; Low-level Vision and Image Processing; Biomedical Image Processing and Analysis; Machine Learning, Neural Network and Deep Learning, and New Advances in Visual Perception and Understanding. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Pattern Recognition and Computer Vision : 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 – November 1, 2021, Proceedings, Part II / 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: XX, 677 p. 262 ilustraciones, 245 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-88007-1 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Aprendizaje automático Aplicaciones informáticas y de sistemas de información IngenierÃa Informática y Redes Application software Visión por computador IngenierÃa Informática Red informática Clasificación: 006.37 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: Computer Vision, Theories and Applications -- Dynamic Fusion Network For Light Field Depth Estimation -- Metric Calibration of Aerial on-board Multiple Non-overlapping Cameras based on Visual and Inertial Measurement Data -- SEINet: Semantic-Edge Interaction Network for Image Manipulation Localization -- Video-Based Reconstruction of Smooth 3D Human Body Motion -- A Unified Modular Framework with Deep Graph Convolutional Networks for Multi-Label Image Recognition -- 3D Correspondence Grouping with Compatibility Features -- Contour-Aware Panoptic Segmentation Network -- VGG-CAE: Unsupervised Visual Place Recognition Using VGG16-based Convolutional Autoencoder -- Slice Sequential Network: A Lightweight Unsupervised Point Cloud Completion Network -- From Digital Model to Reality Application: A Domain Adaptation Method for Rail Defect Detection -- FMixAugment for Semi-Supervised Learning with Consistency Regularization -- IDANet: Iterative D-LinkNets with Attention for Road Extraction from High-resolution Satellite Imagery -- Disentangling Deep Network for Reconstructing 3D Object Shapes from Single 2D Images -- AnchorConv: Anchor Convolution for Point Clouds Analysis -- IFR: Iterative Fusion Based Recognizer For Low Quality Scene Text Recognition -- Immersive Traditional Chinese Portrait Painting: Research on Style Transfer and Face Replacement -- Multi-camera extrinsic auto-calibration using pedestrians in occluded environments -- Dual-Layer Barcodes -- Graph Matching based Robust Line Segment Correspondence for Active Camera Relocalization -- Unsupervised learning framework for 3D reconstruction from face sketch -- HEI-Human: A Hybrid Explicit and Implicit Method for Single-view 3D Clothed Human Reconstruction -- A Point Cloud Generative Model via Tree-Structured Graph Convolutions for 3D Brain Shape Reconstruction -- 3D-SceneCaptioner: Visual Scene Captioning Network for Three-Dimensional Point Clouds -- Soccer Field Registration Based on Geometric Constraint and Deep Learning Method -- Enhancing Latent Features for Unsupervised Video Anomaly Detection -- Adaptive Anomaly Detection Network for Unseen Scene Without Fine-tuning -- Facial Expression Recognition Based on Multi-scale Feature Fusion Convolutional Neural Network and Attention Mechanism -- Separable Reversible Data Hiding based on Integer Mapping and Multi-MSB Prediction for Encrypted 3D Mesh Models -- MPN: Multi-Scale Progressive Restoration Network For Unsupervised Defect Detection -- Scene-Aware Ensemble Learning For Robust Crowd Counting -- Complementary Temporal Classification Activation Maps in Temporal Action Localization -- Improve Semantic Correspondence by Filtering the Correlation Scores in both Image Space and Hough Space -- A Simple Network with Progressive Structure for Salient Object Detection -- Feature Enhancement and Multi-Scale Cross-Modal Attention for RGB-D Salient Object Detection -- Improving Unsupervised Learning of Monocular Depth and Ego-motion via Stereo Network -- A non-autoregressivedecoding model based on joint classification for 3D human pose regression -- Multimedia Processing and Analysis -- Multiple Semantic Embedding with Graph Convolutional Networks for Multi-Label Image Classification -- AMEN: Adversarial Multi-Space Embedding Network for Text-based Person Re-identification -- AFM-RNN: A Sequent Prediction Model for Delineating Building Rooftops from Remote Sensing Images by Integrating RNN with Attraction Field Map -- Attribute-level Interest Matching Network for Personalized Recommendation -- Variational Deep Representation Learning for Cross-Modal Retrieval -- Vein Centerline Extraction of Visible images Based on Tracking Method -- Discrete Bidirectional Matrix Factorization Hashing for Zero-Shot Cross-Media Retrieval -- Dual Stream Fusion Network for Multi-spectral High Resolution Remote Sensing Image Segmentation -- Multi-scale Extracting and Second-order Statistics for Lightweight Steganalysis -- HTCN: Harmonious Text Colorization Network for Visual-Textual Presentation Design -- A Fast Method for Extracting parameters of Circular Objects -- GGRNet: Global Graph Reasoning Network for Salient Object Detection in Optical Remote Sensing Images -- A Combination Classifier of Polarimetric SAR image Based on D-S Evidence Theory -- Image Tampering Localization Using Unified Two-Stream Features Enhanced with Channel and Spatial Attention -- An End-to-End Mutual Enhancement Network toward Image Compression and Semantic Segmentation -- Deep Double Center Hashing for Face Image Retrieval -- A Novel Method of Cropped Images Forensics in Social Networks -- MGD-GAN: Text-to-Pedestrian generation through Multi-Grained Discrimination. Tipo de medio : Computadora Summary : The 4-volume set LNCS 13019, 13020, 13021 and 13022 constitutes the refereed proceedings of the 4th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2021, held in Beijing, China, in October-November 2021. The 201 full papers presented were carefully reviewed and selected from 513 submissions. The papers have been organized in the following topical sections: Object Detection, Tracking and Recognition; Computer Vision, Theories and Applications, Multimedia Processing and Analysis; Low-level Vision and Image Processing; Biomedical Image Processing and Analysis; Machine Learning, Neural Network and Deep Learning, and New Advances in Visual Perception and Understanding. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Pattern Recognition and Computer Vision : 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 – November 1, 2021, Proceedings, Part II / [documento electrónico] / Ma, Huimin, ; Wang, Liang, ; Zhang, Changshui, ; Wu, Fei, ; Tan, Tieniu, ; Wang, Yaonan, ; Lai, Jianhuang, ; Zhao, Yao, . - 1 ed. . - [s.l.] : Springer, 2021 . - XX, 677 p. 262 ilustraciones, 245 ilustraciones en color.
ISBN : 978-3-030-88007-1
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Aprendizaje automático Aplicaciones informáticas y de sistemas de información IngenierÃa Informática y Redes Application software Visión por computador IngenierÃa Informática Red informática Clasificación: 006.37 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: Computer Vision, Theories and Applications -- Dynamic Fusion Network For Light Field Depth Estimation -- Metric Calibration of Aerial on-board Multiple Non-overlapping Cameras based on Visual and Inertial Measurement Data -- SEINet: Semantic-Edge Interaction Network for Image Manipulation Localization -- Video-Based Reconstruction of Smooth 3D Human Body Motion -- A Unified Modular Framework with Deep Graph Convolutional Networks for Multi-Label Image Recognition -- 3D Correspondence Grouping with Compatibility Features -- Contour-Aware Panoptic Segmentation Network -- VGG-CAE: Unsupervised Visual Place Recognition Using VGG16-based Convolutional Autoencoder -- Slice Sequential Network: A Lightweight Unsupervised Point Cloud Completion Network -- From Digital Model to Reality Application: A Domain Adaptation Method for Rail Defect Detection -- FMixAugment for Semi-Supervised Learning with Consistency Regularization -- IDANet: Iterative D-LinkNets with Attention for Road Extraction from High-resolution Satellite Imagery -- Disentangling Deep Network for Reconstructing 3D Object Shapes from Single 2D Images -- AnchorConv: Anchor Convolution for Point Clouds Analysis -- IFR: Iterative Fusion Based Recognizer For Low Quality Scene Text Recognition -- Immersive Traditional Chinese Portrait Painting: Research on Style Transfer and Face Replacement -- Multi-camera extrinsic auto-calibration using pedestrians in occluded environments -- Dual-Layer Barcodes -- Graph Matching based Robust Line Segment Correspondence for Active Camera Relocalization -- Unsupervised learning framework for 3D reconstruction from face sketch -- HEI-Human: A Hybrid Explicit and Implicit Method for Single-view 3D Clothed Human Reconstruction -- A Point Cloud Generative Model via Tree-Structured Graph Convolutions for 3D Brain Shape Reconstruction -- 3D-SceneCaptioner: Visual Scene Captioning Network for Three-Dimensional Point Clouds -- Soccer Field Registration Based on Geometric Constraint and Deep Learning Method -- Enhancing Latent Features for Unsupervised Video Anomaly Detection -- Adaptive Anomaly Detection Network for Unseen Scene Without Fine-tuning -- Facial Expression Recognition Based on Multi-scale Feature Fusion Convolutional Neural Network and Attention Mechanism -- Separable Reversible Data Hiding based on Integer Mapping and Multi-MSB Prediction for Encrypted 3D Mesh Models -- MPN: Multi-Scale Progressive Restoration Network For Unsupervised Defect Detection -- Scene-Aware Ensemble Learning For Robust Crowd Counting -- Complementary Temporal Classification Activation Maps in Temporal Action Localization -- Improve Semantic Correspondence by Filtering the Correlation Scores in both Image Space and Hough Space -- A Simple Network with Progressive Structure for Salient Object Detection -- Feature Enhancement and Multi-Scale Cross-Modal Attention for RGB-D Salient Object Detection -- Improving Unsupervised Learning of Monocular Depth and Ego-motion via Stereo Network -- A non-autoregressivedecoding model based on joint classification for 3D human pose regression -- Multimedia Processing and Analysis -- Multiple Semantic Embedding with Graph Convolutional Networks for Multi-Label Image Classification -- AMEN: Adversarial Multi-Space Embedding Network for Text-based Person Re-identification -- AFM-RNN: A Sequent Prediction Model for Delineating Building Rooftops from Remote Sensing Images by Integrating RNN with Attraction Field Map -- Attribute-level Interest Matching Network for Personalized Recommendation -- Variational Deep Representation Learning for Cross-Modal Retrieval -- Vein Centerline Extraction of Visible images Based on Tracking Method -- Discrete Bidirectional Matrix Factorization Hashing for Zero-Shot Cross-Media Retrieval -- Dual Stream Fusion Network for Multi-spectral High Resolution Remote Sensing Image Segmentation -- Multi-scale Extracting and Second-order Statistics for Lightweight Steganalysis -- HTCN: Harmonious Text Colorization Network for Visual-Textual Presentation Design -- A Fast Method for Extracting parameters of Circular Objects -- GGRNet: Global Graph Reasoning Network for Salient Object Detection in Optical Remote Sensing Images -- A Combination Classifier of Polarimetric SAR image Based on D-S Evidence Theory -- Image Tampering Localization Using Unified Two-Stream Features Enhanced with Channel and Spatial Attention -- An End-to-End Mutual Enhancement Network toward Image Compression and Semantic Segmentation -- Deep Double Center Hashing for Face Image Retrieval -- A Novel Method of Cropped Images Forensics in Social Networks -- MGD-GAN: Text-to-Pedestrian generation through Multi-Grained Discrimination. Tipo de medio : Computadora Summary : The 4-volume set LNCS 13019, 13020, 13021 and 13022 constitutes the refereed proceedings of the 4th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2021, held in Beijing, China, in October-November 2021. The 201 full papers presented were carefully reviewed and selected from 513 submissions. The papers have been organized in the following topical sections: Object Detection, Tracking and Recognition; Computer Vision, Theories and Applications, Multimedia Processing and Analysis; Low-level Vision and Image Processing; Biomedical Image Processing and Analysis; Machine Learning, Neural Network and Deep Learning, and New Advances in Visual Perception and Understanding. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Pattern Recognition and Computer Vision : 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. Idioma : Inglés (eng) Palabras clave: IngenierÃa Informática y Redes Aplicaciones informáticas y de sistemas de información Inteligencia artificial Visión por computador Red informática IngenierÃa Informática Application software Clasificación: 006.37 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. Tipo de medio : Computadora Summary : The 4-volume set LNCS 13019, 13020, 13021 and 13022 constitutes the refereed proceedings of the 4th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2021, held in Beijing, China, in October-November 2021. The 201 full papers presented were carefully reviewed and selected from 513 submissions. The papers have been organized in the following topical sections: Object Detection, Tracking and Recognition; Computer Vision, Theories and Applications, Multimedia Processing and Analysis; Low-level Vision and Image Processing; Biomedical Image Processing and Analysis; Machine Learning, Neural Network and Deep Learning, and New Advances in Visual Perception and Understanding. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Pattern Recognition and Computer Vision : 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.
Idioma : Inglés (eng)
Palabras clave: IngenierÃa Informática y Redes Aplicaciones informáticas y de sistemas de información Inteligencia artificial Visión por computador Red informática IngenierÃa Informática Application software Clasificación: 006.37 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. Tipo de medio : Computadora Summary : The 4-volume set LNCS 13019, 13020, 13021 and 13022 constitutes the refereed proceedings of the 4th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2021, held in Beijing, China, in October-November 2021. The 201 full papers presented were carefully reviewed and selected from 513 submissions. The papers have been organized in the following topical sections: Object Detection, Tracking and Recognition; Computer Vision, Theories and Applications, Multimedia Processing and Analysis; Low-level Vision and Image Processing; Biomedical Image Processing and Analysis; Machine Learning, Neural Network and Deep Learning, and New Advances in Visual Perception and Understanding. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Pattern Recognition and Computer Vision : 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 – November 1, 2021, Proceedings, Part IV / 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, 577 p. 219 ilustraciones, 202 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-88013-2 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Red informática Aplicaciones informáticas y de sistemas de información IngenierÃa Informática y Redes Inteligencia artificial Visión por computador Application software IngenierÃa Informática Clasificación: 006.37 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: Machine Learning, Neural Network and Deep Learning -- Edge-Wise One-Level Global Pruning on NAS generated networks -- Convolution Tells Where to Look -- Robust Single-step Adversarial Training with Regularizer -- Texture-guided U-Net for OCT-to-OCTA Generation -- Learning Key Actors and Their Interactions for Group Activity Recognition -- Attributed Non-negative Matrix Multi-Factorization for Data Representation -- Improved Categorical Cross-Entropy Loss for Training Deep Neural Networks with Noisy Labels -- A Residual Correction Approach for Semi-supervised Semantic Segmentation -- Hypergraph Convolutional Network with Hybrid Higher-order Neighbors -- Text-Aware Single Image Specular Highlight Removal -- Minimizing Wasserstein-1 Distance by Quantile Regression for GANs Model -- A Competition of Shape and Texture Bias by Multi-View Image Representation -- Learning Indistinguishable and Transferable Adversarial Examples -- Efficient Object Detection and Classification of Ground Objects fromThermal Infrared Remote Sensing Image Based on Deep Learning -- MEMA-NAS: Memory-Efficient Multi-Agent Neural Architecture Search -- Adversarial Decoupling for Weakly Supervised Semantic Segmentation -- Towards End-to-End Embroidery Style Generation: A Paired Dataset and Benchmark -- Efficient and real-time particle detection via encoder-decoder network -- Flexible Projection Search using Optimal Re-weighted Adjacency for Unsupervised Manifold Learning -- Fabric Defect Detection via Multi-scale Feature Fusion-based Saliency -- Improving Adversarial Robustness of Detectors via Objectness Regularization -- IPE Transformer for Depth Completion with Input-Aware Positional Embeddings -- Enhanced Multi-view Matrix Factorization with Shared Representation -- Multi-level Residual Attention Network for Speckle Suppression -- Suppressing Style-Sensitive Features via Randomly Erasing for Domain Generalizable Semantic Segmentation -- MAGAN: Multi-Attention Generative Adversarial Networks for Text-to-Image Generation -- Dual Attention Based Network with Hierarchical ConvLSTM for Video Object Segmentation -- Distance-based Class Activation Map for Metric Learning -- Reading Pointer Meter through One Stage End-to-End Deep Regression -- Deep Architecture Compression with Automatic Clustering of Similar Neurons -- Attention Guided Spatio-temporal Artifacts Extraction for Deepfake Detection -- Learn the Approximation Distribution of Sparse Coding with Mixture Sparsity Network -- Anti-occluded person re-identification via pose restoration and dual channel feature distance measurement -- Dynamic Runtime Feature Map Pruning -- Special Session: New Advances in Visual Perception and Understanding -- Multi-Branch Graph Network for Learning Human-Object Interaction -- FDEA: Face Dataset with Ethnicity Attribute -- TMD-FS: Improving Few-Shot Object Detection with Transformer Multi-modal Directing -- Feature Matching Network for Weakly-Supervised Temporal Action Localization -- LiDAR-based symmetrical guidance for 3D Object Detection -- Few-shot Segmentation via Complementary Prototype Learning and Cascaded Refinement -- Couple Double-Stage FPNs with Single Pipe-line for solar speckle images deblurring -- Multi-scale Image Partitioning and Saliency Detection for Single Image Blind Deblurring -- CETransformer: Casual Effect Estimation via Transformer Based Representation Learning -- An Efficient Polyp Detection Framework with Suspicious Targets Assisted Training -- Invertible Image Compressive Sensing -- Gradient-free Neural Network Training Based on Deep Dictionary Learning with the Log Regularizer. Tipo de medio : Computadora Summary : The 4-volume set LNCS 13019, 13020, 13021 and 13022 constitutes the refereed proceedings of the 4th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2021, held in Beijing, China, in October-November 2021. The 201 full papers presented were carefully reviewed and selected from 513 submissions. The papers have been organized in the following topical sections: Object Detection, Tracking and Recognition; Computer Vision, Theories and Applications, Multimedia Processing and Analysis; Low-level Vision and Image Processing; Biomedical Image Processing and Analysis; Machine Learning, Neural Network and Deep Learning, and New Advances in Visual Perception and Understanding. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Pattern Recognition and Computer Vision : 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 – November 1, 2021, Proceedings, Part IV / [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, 577 p. 219 ilustraciones, 202 ilustraciones en color.
ISBN : 978-3-030-88013-2
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Red informática Aplicaciones informáticas y de sistemas de información IngenierÃa Informática y Redes Inteligencia artificial Visión por computador Application software IngenierÃa Informática Clasificación: 006.37 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: Machine Learning, Neural Network and Deep Learning -- Edge-Wise One-Level Global Pruning on NAS generated networks -- Convolution Tells Where to Look -- Robust Single-step Adversarial Training with Regularizer -- Texture-guided U-Net for OCT-to-OCTA Generation -- Learning Key Actors and Their Interactions for Group Activity Recognition -- Attributed Non-negative Matrix Multi-Factorization for Data Representation -- Improved Categorical Cross-Entropy Loss for Training Deep Neural Networks with Noisy Labels -- A Residual Correction Approach for Semi-supervised Semantic Segmentation -- Hypergraph Convolutional Network with Hybrid Higher-order Neighbors -- Text-Aware Single Image Specular Highlight Removal -- Minimizing Wasserstein-1 Distance by Quantile Regression for GANs Model -- A Competition of Shape and Texture Bias by Multi-View Image Representation -- Learning Indistinguishable and Transferable Adversarial Examples -- Efficient Object Detection and Classification of Ground Objects fromThermal Infrared Remote Sensing Image Based on Deep Learning -- MEMA-NAS: Memory-Efficient Multi-Agent Neural Architecture Search -- Adversarial Decoupling for Weakly Supervised Semantic Segmentation -- Towards End-to-End Embroidery Style Generation: A Paired Dataset and Benchmark -- Efficient and real-time particle detection via encoder-decoder network -- Flexible Projection Search using Optimal Re-weighted Adjacency for Unsupervised Manifold Learning -- Fabric Defect Detection via Multi-scale Feature Fusion-based Saliency -- Improving Adversarial Robustness of Detectors via Objectness Regularization -- IPE Transformer for Depth Completion with Input-Aware Positional Embeddings -- Enhanced Multi-view Matrix Factorization with Shared Representation -- Multi-level Residual Attention Network for Speckle Suppression -- Suppressing Style-Sensitive Features via Randomly Erasing for Domain Generalizable Semantic Segmentation -- MAGAN: Multi-Attention Generative Adversarial Networks for Text-to-Image Generation -- Dual Attention Based Network with Hierarchical ConvLSTM for Video Object Segmentation -- Distance-based Class Activation Map for Metric Learning -- Reading Pointer Meter through One Stage End-to-End Deep Regression -- Deep Architecture Compression with Automatic Clustering of Similar Neurons -- Attention Guided Spatio-temporal Artifacts Extraction for Deepfake Detection -- Learn the Approximation Distribution of Sparse Coding with Mixture Sparsity Network -- Anti-occluded person re-identification via pose restoration and dual channel feature distance measurement -- Dynamic Runtime Feature Map Pruning -- Special Session: New Advances in Visual Perception and Understanding -- Multi-Branch Graph Network for Learning Human-Object Interaction -- FDEA: Face Dataset with Ethnicity Attribute -- TMD-FS: Improving Few-Shot Object Detection with Transformer Multi-modal Directing -- Feature Matching Network for Weakly-Supervised Temporal Action Localization -- LiDAR-based symmetrical guidance for 3D Object Detection -- Few-shot Segmentation via Complementary Prototype Learning and Cascaded Refinement -- Couple Double-Stage FPNs with Single Pipe-line for solar speckle images deblurring -- Multi-scale Image Partitioning and Saliency Detection for Single Image Blind Deblurring -- CETransformer: Casual Effect Estimation via Transformer Based Representation Learning -- An Efficient Polyp Detection Framework with Suspicious Targets Assisted Training -- Invertible Image Compressive Sensing -- Gradient-free Neural Network Training Based on Deep Dictionary Learning with the Log Regularizer. Tipo de medio : Computadora Summary : The 4-volume set LNCS 13019, 13020, 13021 and 13022 constitutes the refereed proceedings of the 4th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2021, held in Beijing, China, in October-November 2021. The 201 full papers presented were carefully reviewed and selected from 513 submissions. The papers have been organized in the following topical sections: Object Detection, Tracking and Recognition; Computer Vision, Theories and Applications, Multimedia Processing and Analysis; Low-level Vision and Image Processing; Biomedical Image Processing and Analysis; Machine Learning, Neural Network and Deep Learning, and New Advances in Visual Perception and Understanding. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
