Autor Lopresti, Daniel
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Documentos disponibles escritos por este autor (7)
Hacer una sugerencia Refinar búsqueda14th IAPR International Workshop, DAS 2020, Wuhan, China, July 26–29, 2020, Proceedings / Bai, Xiang ; Karatzas, Dimosthenis ; Lopresti, Daniel
Título : 14th IAPR International Workshop, DAS 2020, Wuhan, China, July 26–29, 2020, Proceedings Tipo de documento: documento electrónico Autores: Bai, Xiang, ; Karatzas, Dimosthenis, ; Lopresti, Daniel, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: XIV, 588 p. 375 ilustraciones, 214 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-57058-3 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Palabras clave: Gestión de base de datos Sistemas de reconocimiento de patrones Sistemas de almacenamiento y recuperación de información Inteligencia artificial Procesamiento de datos Software de la aplicacion Reconocimiento de patrones automatizado Almacenamiento y recuperación de información Minería de datos y descubrimiento de conocimientos Aplicaciones informáticas y de sistemas de información Índice Dewey: 005.74 Ciencia de los computadores (Archivos de datos y bases de datos) Resumen: Este libro constituye las actas arbitradas del 14º Taller Internacional de la IAPR sobre Sistemas de Análisis de Documentos, DAS 2020, celebrado en Wuhan, China, en julio de 2020. Los 40 artículos completos presentados en este libro fueron cuidadosamente revisados y seleccionados entre 57 presentaciones. Los artículos se agrupan en las siguientes secciones temáticas: reconocimiento de caracteres y texto; procesamiento de imágenes de documentos; análisis de segmentación y diseño; incrustación y manchado de palabras; detección de texto; y diseño y clasificación de fuentes. Debido a la pandemia de Corona, la conferencia se celebró de forma virtual. Nota de contenido: Character and text recognition -- Document image processing -- Segmentation and layout analysis -- Word embedding and spotting -- Text detection -- Font design and classification. En línea: 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 14th IAPR International Workshop, DAS 2020, Wuhan, China, July 26–29, 2020, Proceedings [documento electrónico] / Bai, Xiang, ; Karatzas, Dimosthenis, ; Lopresti, Daniel, . - 1 ed. . - [s.l.] : Springer, 2020 . - XIV, 588 p. 375 ilustraciones, 214 ilustraciones en color.
ISBN : 978-3-030-57058-3
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Palabras clave: Gestión de base de datos Sistemas de reconocimiento de patrones Sistemas de almacenamiento y recuperación de información Inteligencia artificial Procesamiento de datos Software de la aplicacion Reconocimiento de patrones automatizado Almacenamiento y recuperación de información Minería de datos y descubrimiento de conocimientos Aplicaciones informáticas y de sistemas de información Índice Dewey: 005.74 Ciencia de los computadores (Archivos de datos y bases de datos) Resumen: Este libro constituye las actas arbitradas del 14º Taller Internacional de la IAPR sobre Sistemas de Análisis de Documentos, DAS 2020, celebrado en Wuhan, China, en julio de 2020. Los 40 artículos completos presentados en este libro fueron cuidadosamente revisados y seleccionados entre 57 presentaciones. Los artículos se agrupan en las siguientes secciones temáticas: reconocimiento de caracteres y texto; procesamiento de imágenes de documentos; análisis de segmentación y diseño; incrustación y manchado de palabras; detección de texto; y diseño y clasificación de fuentes. Debido a la pandemia de Corona, la conferencia se celebró de forma virtual. Nota de contenido: Character and text recognition -- Document image processing -- Segmentation and layout analysis -- Word embedding and spotting -- Text detection -- Font design and classification. En línea: 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
Título : 16th International Conference, Lausanne, Switzerland, September 5–10, 2021, Proceedings, Part I Tipo de documento: documento electrónico Autores: Lladós, Josep, ; Lopresti, Daniel, ; Uchida, Seiichi, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XIX, 650 p. 223 ilustraciones, 198 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-86549-8 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Palabras clave: Procesamiento de imágenes Visión por computador Ingeniería Informática Red de computadoras Aprendizaje automático Procesamiento del lenguaje natural (Informática) Ciencias sociales Imágenes por computadora visión reconocimiento de patrones y gráficos Ingeniería Informática y Redes Procesamiento del lenguaje natural (PNL) Aplicación informática en ciencias sociales y del comportamiento Computadoras y Educación Índice Dewey: 6 Resumen: Este conjunto de cuatro volúmenes de LNCS 12821, LNCS 12822, LNCS 12823 y LNCS 12824 constituye las actas arbitradas de la 16.ª Conferencia Internacional sobre Análisis y Reconocimiento de Documentos, ICDAR 2021, celebrada en Lausana, Suiza, en septiembre de 2021. Los 182 artículos completos fueron Se revisan y seleccionan cuidadosamente entre 340 presentaciones y se presentan con 13 informes de competencia. Los artículos están organizados en las siguientes secciones temáticas: análisis de documentos históricos, sistemas de análisis de documentos, reconocimiento de escritura a mano, detección y reconocimiento de textos de escenas, procesamiento de imágenes de documentos, procesamiento del lenguaje natural (NLP) para la comprensión de documentos y reconocimiento de gráficos, diagramas y matemáticas. Nota de contenido: Historical Document Analysis 1 -- BoundaryNet: An Attentive Deep Network with Fast Marching Distance Maps for Semi-automatic Layout Annotation -- Pho(SC)Net: An Approach Towards Zero-shot Word Image Recognition in Historical Documents -- Versailles-FP dataset: Wall Detection in Ancient Floor Plans -- Graph Convolutional Neural Networks for Learning Attribute Representations for Word Spotting -- Context Aware Generation of Cuneiform Signs -- Adaptive Scaling for Archival Table Structure Recognition -- Document Analysis Systems -- LGPMA: Complicated Table Structure Recognition with Local and Global Pyramid Mask Alignment -- VSR: A Unified Framework for Document Layout Analysis combining Vision, Semantics and Relations -- Layout-Parser: A Unified Toolkit for Deep Learning Based Document Image Analysis -- Understanding and Mitigating the Impact of Model Compression for Document Image Classification -- Hierarchical and Multimodal Classification of Images from Soil Remediation Reports -- Competition and Collaboration in Document Analysis and Recognition -- Handwriting Recognition -- 2D Self-Attention Convolutional Recurrent Network for Offline Handwritten Text Recognition -- Handwritten Text Recognition with Convolutional Prototype Network and Most Aligned Frame Based CTC Training -- Online Spatio-Temporal 3D Convolutional Neural Network for Early Recognition of Handwritten Gestures -- Mix-Up Augmentation for Oracle Character Recognition with Imbalanced Data Distribution -- Radical Composition Network for Chinese Character Generation -- SmartPatch: Improving Handwritten Word Imitation with Patch Discriminators -- Scene Text Detection and Recognition -- Reciprocal Feature Learning via Explicit and Implicit Tasks in Scene Text Recognition -- Text Detection by Jointly Learning Character and Word Regions -- Vision Transformer for Fast and Efficient Scene Text Recognition -- Look, Read and Ask: Learning to Ask Questions by Reading Text in Images -- CATNet: Scene Text Recognition Guided by Concatenating Augmented Text Features -- Explore Hierarchical Relations Reasoning and Global Information Aggregation -- Historical Document Analysis 2 -- One-Model Ensemble-Learning for Text Recognition of Historical Printings -- On the use of attention in deep learning based denoising method for ancient Cham inscription images -- Visual FUDGE: Form Understanding via Dynamic Graph Editing -- Annotation-Free Character Detection in Historical Vietnamese Stele Images -- Document Image Processing -- DocReader: Bounding-Box Free Training of a Document Information Extraction Model -- Document Dewarping with Control Points -- Unknown-box Approximation to Improve Optical Character Recognition Performance -- Document Domain Randomization for Deep Learning Document Layout Extraction -- NLP for Document Understanding -- Distilling the Documents for Relation Extraction by Topic Segmentation -- LAMBERT: Layout-Aware Language Modeling for Information Extraction -- ViBERTgrid: A Jointly Trained Multi-Modal 2D Document Representation for Key Information Extraction from Documents -- Kleister: Key Information Extraction Datasets Involving Long Documents with Complex Layouts -- Graphics, Diagram, and Math Recognition -- Towards an efficient framework for Data Extraction from Chart Images -- Geometric Object 3D Reconstruction From Single Line Drawings Image Based on a Network for Classification and Sketch Extraction -- DiagramNet: Hand-drawn Diagram Recognition using Visual Arrow-relation Detection -- Formula Citation Graph Based Mathematical Information Retrieval. En línea: 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 16th International Conference, Lausanne, Switzerland, September 5–10, 2021, Proceedings, Part I [documento electrónico] / Lladós, Josep, ; Lopresti, Daniel, ; Uchida, Seiichi, . - 1 ed. . - [s.l.] : Springer, 2021 . - XIX, 650 p. 223 ilustraciones, 198 ilustraciones en color.
ISBN : 978-3-030-86549-8
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Palabras clave: Procesamiento de imágenes Visión por computador Ingeniería Informática Red de computadoras Aprendizaje automático Procesamiento del lenguaje natural (Informática) Ciencias sociales Imágenes por computadora visión reconocimiento de patrones y gráficos Ingeniería Informática y Redes Procesamiento del lenguaje natural (PNL) Aplicación informática en ciencias sociales y del comportamiento Computadoras y Educación Índice Dewey: 6 Resumen: Este conjunto de cuatro volúmenes de LNCS 12821, LNCS 12822, LNCS 12823 y LNCS 12824 constituye las actas arbitradas de la 16.ª Conferencia Internacional sobre Análisis y Reconocimiento de Documentos, ICDAR 2021, celebrada en Lausana, Suiza, en septiembre de 2021. Los 182 artículos completos fueron Se revisan y seleccionan cuidadosamente entre 340 presentaciones y se presentan con 13 informes de competencia. Los artículos están organizados en las siguientes secciones temáticas: análisis de documentos históricos, sistemas de análisis de documentos, reconocimiento de escritura a mano, detección y reconocimiento de textos de escenas, procesamiento de imágenes de documentos, procesamiento del lenguaje natural (NLP) para la comprensión de documentos y reconocimiento de gráficos, diagramas y matemáticas. Nota de contenido: Historical Document Analysis 1 -- BoundaryNet: An Attentive Deep Network with Fast Marching Distance Maps for Semi-automatic Layout Annotation -- Pho(SC)Net: An Approach Towards Zero-shot Word Image Recognition in Historical Documents -- Versailles-FP dataset: Wall Detection in Ancient Floor Plans -- Graph Convolutional Neural Networks for Learning Attribute Representations for Word Spotting -- Context Aware Generation of Cuneiform Signs -- Adaptive Scaling for Archival Table Structure Recognition -- Document Analysis Systems -- LGPMA: Complicated Table Structure Recognition with Local and Global Pyramid Mask Alignment -- VSR: A Unified Framework for Document Layout Analysis combining Vision, Semantics and Relations -- Layout-Parser: A Unified Toolkit for Deep Learning Based Document Image Analysis -- Understanding and Mitigating the Impact of Model Compression for Document Image Classification -- Hierarchical and Multimodal Classification of Images from Soil Remediation Reports -- Competition and Collaboration in Document Analysis and Recognition -- Handwriting Recognition -- 2D Self-Attention Convolutional Recurrent Network for Offline Handwritten Text Recognition -- Handwritten Text Recognition with Convolutional Prototype Network and Most Aligned Frame Based CTC Training -- Online Spatio-Temporal 3D Convolutional Neural Network for Early Recognition of Handwritten Gestures -- Mix-Up Augmentation for Oracle Character Recognition with Imbalanced Data Distribution -- Radical Composition Network for Chinese Character Generation -- SmartPatch: Improving Handwritten Word Imitation with Patch Discriminators -- Scene Text Detection and Recognition -- Reciprocal Feature Learning via Explicit and Implicit Tasks in Scene Text Recognition -- Text Detection by Jointly Learning Character and Word Regions -- Vision Transformer for Fast and Efficient Scene Text Recognition -- Look, Read and Ask: Learning to Ask Questions by Reading Text in Images -- CATNet: Scene Text Recognition Guided by Concatenating Augmented Text Features -- Explore Hierarchical Relations Reasoning and Global Information Aggregation -- Historical Document Analysis 2 -- One-Model Ensemble-Learning for Text Recognition of Historical Printings -- On the use of attention in deep learning based denoising method for ancient Cham inscription images -- Visual FUDGE: Form Understanding via Dynamic Graph Editing -- Annotation-Free Character Detection in Historical Vietnamese Stele Images -- Document Image Processing -- DocReader: Bounding-Box Free Training of a Document Information Extraction Model -- Document Dewarping with Control Points -- Unknown-box Approximation to Improve Optical Character Recognition Performance -- Document Domain Randomization for Deep Learning Document Layout Extraction -- NLP for Document Understanding -- Distilling the Documents for Relation Extraction by Topic Segmentation -- LAMBERT: Layout-Aware Language Modeling for Information Extraction -- ViBERTgrid: A Jointly Trained Multi-Modal 2D Document Representation for Key Information Extraction from Documents -- Kleister: Key Information Extraction Datasets Involving Long Documents with Complex Layouts -- Graphics, Diagram, and Math Recognition -- Towards an efficient framework for Data Extraction from Chart Images -- Geometric Object 3D Reconstruction From Single Line Drawings Image Based on a Network for Classification and Sketch Extraction -- DiagramNet: Hand-drawn Diagram Recognition using Visual Arrow-relation Detection -- Formula Citation Graph Based Mathematical Information Retrieval. En línea: 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
Título : 16th International Conference, Lausanne, Switzerland, September 5–10, 2021, Proceedings, Part II Tipo de documento: documento electrónico Autores: Lladós, Josep, ; Lopresti, Daniel, ; Uchida, Seiichi, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XX, 873 p. 329 ilustraciones, 277 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-86331-9 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Palabras clave: Procesamiento de imágenes Visión por computador Ingeniería Informática Red de computadoras Aprendizaje automático Procesamiento del lenguaje natural (Informática) Ciencias sociales Imágenes por computadora visión reconocimiento de patrones y gráficos Ingeniería Informática y Redes Procesamiento del lenguaje natural (PNL) Computadoras y Educación Aplicación informática en ciencias sociales y del comportamiento Índice Dewey: 6 Resumen: Este conjunto de cuatro volúmenes de LNCS 12821, LNCS 12822, LNCS 12823 y LNCS 12824 constituye las actas arbitradas de la 16.ª Conferencia Internacional sobre Análisis y Reconocimiento de Documentos, ICDAR 2021, celebrada en Lausana, Suiza, en septiembre de 2021. Los 182 artículos completos fueron Se revisan y seleccionan cuidadosamente entre 340 presentaciones y se presentan con 13 informes de competencia. Los artículos están organizados en las siguientes secciones temáticas: análisis de documentos para búsqueda bibliográfica, resumen y traducción de documentos, análisis de documentos multimedia, reconocimiento de texto móvil, análisis de documentos para el bien social, indexación y recuperación de documentos, análisis de diseño físico y lógico, reconocimiento de tablas. y fórmulas, y procesamiento del lenguaje natural (NLP) para la comprensión de documentos. Nota de contenido: Document Analysis for Literature Search -- Towards Document Panoptic Segmentation with Pinpoint Accuracy: Method and Evaluation -- A Math Formula Extraction and Evaluation Framework for PDF Documents -- Toward Automatic Interpretation of 3D Plots -- Document Summarization and Translation -- Can Text Summarization Enhance the Headline Stance Detection Task? Benefits and Drawbacks -- The Biased Coin Flip Process for Nonparametric Topic Modeling.-CoMSum and SIBERT: A Dataset and Neural Model for Query-Based Multi-Document Summarization -- RTNet: An End-to-End Method for Handwritten Text Image Translation -- NTable: A Dataset for Camera-based Table Detection -- Multimedia document analysis -- Label Selection Algorithm Based on Boolean Interpolative Decomposition with Sequential Backward Selection for Multi-label Classification -- GSSF: A Generative Sequence Similarity Function based on a Seq2Seq model for clustering online handwritten mathematical answers -- C2VNet: A Deep Learning Framework Towards Comic Strip to Audio-Visual Scene Synthesis -- LSTMVAEF: Vivid Layout via LSTM-based Variational Autoencoder Framework -- Mobile Text Recognition -- HCRNN: A Novel Architecture for Fast Online Handwritten Stroke Classification -- RFDoc: memory efficient local descriptors for ID documents localization and classification -- Dynamic Receptive Field Adaptation for Attention-Based Text Recognition -- Context-Free TextSpotter for Real-Time and Mobile End-to-End Text Detection and Recognition -- MIDV-LAIT: a challenging dataset for recognition of IDs with Perso-Arabic, Thai, and Indian scripts,. Determining optimal frame processing strategies for real-time document recognition systems -- Document Analysis for Social Good -- Embedded Attributes for Cuneiform Sign Spotting -- Date Estimation in the Wild of Scanned Historical Photos: An Image Retrieval Approach -- Two-Step Fine-Tuned Convolutional Neural Networks for Multi-Label Classification of Children's Drawings -- DCINN: Deformable Convolution and Inception Based Neural Network for Tattoo Text Detection through Skin Region -- Sparse Document Analysis using Beta-Liouville Naive Bayes with Vocabulary Knowledge -- Automatic Signature-based Writer Identification in Mixed-script Scenarios -- Indexing and Retrieval of Documents -- Indexing and Retrieval of Documents -- Learning to Rank Words: Optimizing Ranking Metrics for Word Spotting -- A-VLAD: An End-to-End Attention-based Neural Network for Writer Identification in Historical Documents -- Manga-MMTL: multimodal multitask transfer learning for manga character analysis -- Probabilistic Indexing and Search for Hyphenated Words -- Physical and Logical Layout Analysis -- SandSlide: Automatic Slideshow Normalization -- Digital Editions as Distant Supervision for Layout Analysis of Printed Books -- Palmira: A Deep Deformable Network for Instance Segmentation of Dense and Uneven Layouts in Handwritten Manuscripts -- Page Layout Analysis System for Unconstrained Historic Documents -- Improved Graph Methods for Table Layout Understanding -- Unsupervised learning of text line segmentation by differentiating coarse patterns -- Recognition of Tables and Formulas -- Rethinking Table Structure Recognition Using Sequence Labeling Methods -- TabLeX: A Benchmark Dataset for Structure and Content Information Extraction from Scientific Tables -- Handwritten Mathematical Expression Recognition with Bidirectionally Trained Transformer -- TabAug: Data Driven Augmentation for Enhanced Table Structure Recognition -- An Encoder-Decoder Approach to Handwritten Mathematical Expression Recognition with Multi-Head Attention and Stacked Decoder -- Global Context for improving recognition of Online Handwritten Mathematical Expressions -- Image-based Relation Classification Approach for Table Structure Recognition -- Image to LaTeX with Graph Neural Network for Mathematical Formula Recognition -- NLP for Document Understanding -- A Novel Method for AutomatedSuggestion of Similar Software Incidents using 2-Stage Filtering: Findings on Primary Data -- Research on pseudo-label technology for multi-label news classification -- Information Extraction from Invoices -- Are You Really Complaining? A Multi-task Framework for Complaint Identification, Emotion and Sentiment Classification -- Going Full-TILT Boogie on Document Understanding with Text-Image-Layout Transformer -- Data Centric Domain Adaptation for Historical Text with OCR Errors -- Temporal Ordering of Events via Deep Neural Networks -- Document Collection Visual Question Answering -- Dialogue Act Recognition using Visual Information -- Are End-to-End Systems Really Necessary for NER on Handwritten Document Images? -- Training Bi-Encoders for Word Sense Disambiguation -- DeepCPCFG: Deep Learning and Context Free Grammars for End-to-End Information Extraction -- Consideration of the word's neighborhood in GATs for information extraction in semi-structured documents. En línea: 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 16th International Conference, Lausanne, Switzerland, September 5–10, 2021, Proceedings, Part II [documento electrónico] / Lladós, Josep, ; Lopresti, Daniel, ; Uchida, Seiichi, . - 1 ed. . - [s.l.] : Springer, 2021 . - XX, 873 p. 329 ilustraciones, 277 ilustraciones en color.
ISBN : 978-3-030-86331-9
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Palabras clave: Procesamiento de imágenes Visión por computador Ingeniería Informática Red de computadoras Aprendizaje automático Procesamiento del lenguaje natural (Informática) Ciencias sociales Imágenes por computadora visión reconocimiento de patrones y gráficos Ingeniería Informática y Redes Procesamiento del lenguaje natural (PNL) Computadoras y Educación Aplicación informática en ciencias sociales y del comportamiento Índice Dewey: 6 Resumen: Este conjunto de cuatro volúmenes de LNCS 12821, LNCS 12822, LNCS 12823 y LNCS 12824 constituye las actas arbitradas de la 16.ª Conferencia Internacional sobre Análisis y Reconocimiento de Documentos, ICDAR 2021, celebrada en Lausana, Suiza, en septiembre de 2021. Los 182 artículos completos fueron Se revisan y seleccionan cuidadosamente entre 340 presentaciones y se presentan con 13 informes de competencia. Los artículos están organizados en las siguientes secciones temáticas: análisis de documentos para búsqueda bibliográfica, resumen y traducción de documentos, análisis de documentos multimedia, reconocimiento de texto móvil, análisis de documentos para el bien social, indexación y recuperación de documentos, análisis de diseño físico y lógico, reconocimiento de tablas. y fórmulas, y procesamiento del lenguaje natural (NLP) para la comprensión de documentos. Nota de contenido: Document Analysis for Literature Search -- Towards Document Panoptic Segmentation with Pinpoint Accuracy: Method and Evaluation -- A Math Formula Extraction and Evaluation Framework for PDF Documents -- Toward Automatic Interpretation of 3D Plots -- Document Summarization and Translation -- Can Text Summarization Enhance the Headline Stance Detection Task? Benefits and Drawbacks -- The Biased Coin Flip Process for Nonparametric Topic Modeling.-CoMSum and SIBERT: A Dataset and Neural Model for Query-Based Multi-Document Summarization -- RTNet: An End-to-End Method for Handwritten Text Image Translation -- NTable: A Dataset for Camera-based Table Detection -- Multimedia document analysis -- Label Selection Algorithm Based on Boolean Interpolative Decomposition with Sequential Backward Selection for Multi-label Classification -- GSSF: A Generative Sequence Similarity Function based on a Seq2Seq model for clustering online handwritten mathematical answers -- C2VNet: A Deep Learning Framework Towards Comic Strip to Audio-Visual Scene Synthesis -- LSTMVAEF: Vivid Layout via LSTM-based Variational Autoencoder Framework -- Mobile Text Recognition -- HCRNN: A Novel Architecture for Fast Online Handwritten Stroke Classification -- RFDoc: memory efficient local descriptors for ID documents localization and classification -- Dynamic Receptive Field Adaptation for Attention-Based Text Recognition -- Context-Free TextSpotter for Real-Time and Mobile End-to-End Text Detection and Recognition -- MIDV-LAIT: a challenging dataset for recognition of IDs with Perso-Arabic, Thai, and Indian scripts,. Determining optimal frame processing strategies for real-time document recognition systems -- Document Analysis for Social Good -- Embedded Attributes for Cuneiform Sign Spotting -- Date Estimation in the Wild of Scanned Historical Photos: An Image Retrieval Approach -- Two-Step Fine-Tuned Convolutional Neural Networks for Multi-Label Classification of Children's Drawings -- DCINN: Deformable Convolution and Inception Based Neural Network for Tattoo Text Detection through Skin Region -- Sparse Document Analysis using Beta-Liouville Naive Bayes with Vocabulary Knowledge -- Automatic Signature-based Writer Identification in Mixed-script Scenarios -- Indexing and Retrieval of Documents -- Indexing and Retrieval of Documents -- Learning to Rank Words: Optimizing Ranking Metrics for Word Spotting -- A-VLAD: An End-to-End Attention-based Neural Network for Writer Identification in Historical Documents -- Manga-MMTL: multimodal multitask transfer learning for manga character analysis -- Probabilistic Indexing and Search for Hyphenated Words -- Physical and Logical Layout Analysis -- SandSlide: Automatic Slideshow Normalization -- Digital Editions as Distant Supervision for Layout Analysis of Printed Books -- Palmira: A Deep Deformable Network for Instance Segmentation of Dense and Uneven Layouts in Handwritten Manuscripts -- Page Layout Analysis System for Unconstrained Historic Documents -- Improved Graph Methods for Table Layout Understanding -- Unsupervised learning of text line segmentation by differentiating coarse patterns -- Recognition of Tables and Formulas -- Rethinking Table Structure Recognition Using Sequence Labeling Methods -- TabLeX: A Benchmark Dataset for Structure and Content Information Extraction from Scientific Tables -- Handwritten Mathematical Expression Recognition with Bidirectionally Trained Transformer -- TabAug: Data Driven Augmentation for Enhanced Table Structure Recognition -- An Encoder-Decoder Approach to Handwritten Mathematical Expression Recognition with Multi-Head Attention and Stacked Decoder -- Global Context for improving recognition of Online Handwritten Mathematical Expressions -- Image-based Relation Classification Approach for Table Structure Recognition -- Image to LaTeX with Graph Neural Network for Mathematical Formula Recognition -- NLP for Document Understanding -- A Novel Method for AutomatedSuggestion of Similar Software Incidents using 2-Stage Filtering: Findings on Primary Data -- Research on pseudo-label technology for multi-label news classification -- Information Extraction from Invoices -- Are You Really Complaining? A Multi-task Framework for Complaint Identification, Emotion and Sentiment Classification -- Going Full-TILT Boogie on Document Understanding with Text-Image-Layout Transformer -- Data Centric Domain Adaptation for Historical Text with OCR Errors -- Temporal Ordering of Events via Deep Neural Networks -- Document Collection Visual Question Answering -- Dialogue Act Recognition using Visual Information -- Are End-to-End Systems Really Necessary for NER on Handwritten Document Images? -- Training Bi-Encoders for Word Sense Disambiguation -- DeepCPCFG: Deep Learning and Context Free Grammars for End-to-End Information Extraction -- Consideration of the word's neighborhood in GATs for information extraction in semi-structured documents. En línea: 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
Título : 16th International Conference, Lausanne, Switzerland, September 5–10, 2021, Proceedings, Part III Tipo de documento: documento electrónico Autores: Lladós, Josep, ; Lopresti, Daniel, ; Uchida, Seiichi, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XIX, 756 p. 318 ilustraciones, 274 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-86334-0 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Palabras clave: Procesamiento de imágenes Visión por computador Aprendizaje automático Ingeniería Informática Red de computadoras Procesamiento del lenguaje natural (Informática) Ciencias sociales Imágenes por computadora visión reconocimiento de patrones y gráficos Ingeniería Informática y Redes Procesamiento del lenguaje natural (PNL) Computadoras y Educación Aplicación informática en ciencias sociales y del comportamiento Índice Dewey: 6 Resumen: Este conjunto de cuatro volúmenes de LNCS 12821, LNCS 12822, LNCS 12823 y LNCS 12824 constituye las actas arbitradas de la 16.ª Conferencia Internacional sobre Análisis y Reconocimiento de Documentos, ICDAR 2021, celebrada en Lausana, Suiza, en septiembre de 2021. Los 182 artículos completos fueron Se revisan y seleccionan cuidadosamente entre 340 presentaciones y se presentan con 13 informes de competencia. Los artículos están organizados en las siguientes secciones temáticas: extracción de semántica de documentos, reconocimiento de texto y símbolos, sistemas de análisis de documentos, automatización de oficinas, verificación de firmas, análisis forense y de procedencia de documentos, análisis de documentos con bolígrafo, interacción humana con documentos, síntesis de documentos y gráficos. reconocimiento. Nota de contenido: Extracting Document Semantics -- MiikeMineStamps: A Long-Tailed Dataset of Japanese Stamps via Active Learning -- Deep Learning for Document Layout Generation: A First Reproducible Quantitative Evaluation and a Baseline Model -- Text and Symbol Recognition -- MRD: A Memory Relation Decoder for Online Handwritten Mathematical Expression Recognition.-Full Page Handwriting Recognition via Image to Sequence Extraction -- SPAN: a Simple Predict & Align Network for Handwritten Paragraph Recognition -- IHR-NomDB: The Old Degraded Vietnamese Handwritten Script Archive Database -- Sequence Learning Model for Syllables Recognition Arranged in Two Dimensions -- Transformer for Handwritten Text Recognition using Bidirectional Post-Decoding -- Zero-Shot Chinese Text Recognition via Matching Class Embedding -- Text-conditioned Character Segmentation for CTC-based Text Recognition.-Towards Fast, Accurate and Compact Online Handwritten Chinese Text Recognition -- HCADecoder: A Hybrid CTC-Attention Decoder for Chinese Text Recognition.-Meta-learning of Pooling Layers for Character Recognition -- Document Analysis Systems -- Text-line-up: Don't Worry about the Caret -- Multimodal Attention-based Learning for Imbalanced Corporate Documents Classification -- Light-weight Document Image Cleanup using Perceptual Loss -- Office Automation -- A New Semi-Automatic Annotation Model via Semantic Boundary Estimation for Scene Text Detection -- Searching from the Prediction of Visual and Language Model for Handwritten Chinese Text Recognition -- Towards an IMU-based Pen Online Handwriting Recognizer -- Signature Verification -- 2D vs 3D online writer identification: a comparative study -- A Handwritten Signature Segmentation Approach for Multi-resolution and Complex Documents Acquired by Multiple Sources -- Attention based Multiple Siamese Network for Offline Signature Verification -- Attention to Warp: Deep Metric Learning for Multivariate Time Series -- Document Forensics and Provenance Analysis -- Customizable Camera Verification for Media Forensic -- Density Parameters of Handwriting in Schizophrenia and Affective Disorders Assessed Using the Raygraf Computer Software -- Pen-based Document Analysis -- Language-Independent Bimodal System for Early Parkinson's Disease Detection.-TRACE: A Differentiable Approach to Line-level Stroke Recovery for Offline Handwritten Text -- Segmentation and graph matching for online analysis of student arithmetic operations -- Applying End-to-end Trainable Approach on Stroke Extraction in Handwritten Math Expressions Images -- A Novel Sigma-Lognormal Parameter Extractor for Online Signatures -- Human Document Interaction -- Near-perfect Relation Extraction from Family Books -- Estimating Human Legibility in Historic Manuscript Images - A Baseline -- A Modular and Automated Annotation Platform for Handwritings: Evaluation on Under-resourced Languages -- Reducing the Human Effort in Text Line Segmentation for Historical Documents -- DSCNN: Dimension Separable Convolutional Neural Networks for character recognition based on inertial sensor signal -- Document Synthesis -- DocSynth: A Layout Guided Approach for Controllable Document Image Synthesis -- Font Style that Fits an Image -- Font Generation Based on Image Context -- Bayesian Hyperparameter optimization of Deep Neural Network algorithms based on Ant Colony optimization -- End-to-End Approach for Recognition of Historical Digit Strings -- Generating Synthetic Handwritten Historical Documents With OCR Constrained GANs -- Synthesizing Training Data for Handwritten Music Recognition -- Towards Book Cover Design via Layout Graphs -- Graphics Recognition -- Complete Optical Music Recognition via Agnostic Transcription and Machine Translation -- Improving Machine Understanding of Human Intent in Charts -- DeMatch: Towards Understanding the Panel of Chart Documents -- Sequential Next-Symbol Prediction for Optical Music Recognition -- Which Parts Determine the Impression of the Font? -- Impressions2Font: Generating Fonts by Specifying Impressions. . En línea: 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 16th International Conference, Lausanne, Switzerland, September 5–10, 2021, Proceedings, Part III [documento electrónico] / Lladós, Josep, ; Lopresti, Daniel, ; Uchida, Seiichi, . - 1 ed. . - [s.l.] : Springer, 2021 . - XIX, 756 p. 318 ilustraciones, 274 ilustraciones en color.
ISBN : 978-3-030-86334-0
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Palabras clave: Procesamiento de imágenes Visión por computador Aprendizaje automático Ingeniería Informática Red de computadoras Procesamiento del lenguaje natural (Informática) Ciencias sociales Imágenes por computadora visión reconocimiento de patrones y gráficos Ingeniería Informática y Redes Procesamiento del lenguaje natural (PNL) Computadoras y Educación Aplicación informática en ciencias sociales y del comportamiento Índice Dewey: 6 Resumen: Este conjunto de cuatro volúmenes de LNCS 12821, LNCS 12822, LNCS 12823 y LNCS 12824 constituye las actas arbitradas de la 16.ª Conferencia Internacional sobre Análisis y Reconocimiento de Documentos, ICDAR 2021, celebrada en Lausana, Suiza, en septiembre de 2021. Los 182 artículos completos fueron Se revisan y seleccionan cuidadosamente entre 340 presentaciones y se presentan con 13 informes de competencia. Los artículos están organizados en las siguientes secciones temáticas: extracción de semántica de documentos, reconocimiento de texto y símbolos, sistemas de análisis de documentos, automatización de oficinas, verificación de firmas, análisis forense y de procedencia de documentos, análisis de documentos con bolígrafo, interacción humana con documentos, síntesis de documentos y gráficos. reconocimiento. Nota de contenido: Extracting Document Semantics -- MiikeMineStamps: A Long-Tailed Dataset of Japanese Stamps via Active Learning -- Deep Learning for Document Layout Generation: A First Reproducible Quantitative Evaluation and a Baseline Model -- Text and Symbol Recognition -- MRD: A Memory Relation Decoder for Online Handwritten Mathematical Expression Recognition.-Full Page Handwriting Recognition via Image to Sequence Extraction -- SPAN: a Simple Predict & Align Network for Handwritten Paragraph Recognition -- IHR-NomDB: The Old Degraded Vietnamese Handwritten Script Archive Database -- Sequence Learning Model for Syllables Recognition Arranged in Two Dimensions -- Transformer for Handwritten Text Recognition using Bidirectional Post-Decoding -- Zero-Shot Chinese Text Recognition via Matching Class Embedding -- Text-conditioned Character Segmentation for CTC-based Text Recognition.-Towards Fast, Accurate and Compact Online Handwritten Chinese Text Recognition -- HCADecoder: A Hybrid CTC-Attention Decoder for Chinese Text Recognition.-Meta-learning of Pooling Layers for Character Recognition -- Document Analysis Systems -- Text-line-up: Don't Worry about the Caret -- Multimodal Attention-based Learning for Imbalanced Corporate Documents Classification -- Light-weight Document Image Cleanup using Perceptual Loss -- Office Automation -- A New Semi-Automatic Annotation Model via Semantic Boundary Estimation for Scene Text Detection -- Searching from the Prediction of Visual and Language Model for Handwritten Chinese Text Recognition -- Towards an IMU-based Pen Online Handwriting Recognizer -- Signature Verification -- 2D vs 3D online writer identification: a comparative study -- A Handwritten Signature Segmentation Approach for Multi-resolution and Complex Documents Acquired by Multiple Sources -- Attention based Multiple Siamese Network for Offline Signature Verification -- Attention to Warp: Deep Metric Learning for Multivariate Time Series -- Document Forensics and Provenance Analysis -- Customizable Camera Verification for Media Forensic -- Density Parameters of Handwriting in Schizophrenia and Affective Disorders Assessed Using the Raygraf Computer Software -- Pen-based Document Analysis -- Language-Independent Bimodal System for Early Parkinson's Disease Detection.-TRACE: A Differentiable Approach to Line-level Stroke Recovery for Offline Handwritten Text -- Segmentation and graph matching for online analysis of student arithmetic operations -- Applying End-to-end Trainable Approach on Stroke Extraction in Handwritten Math Expressions Images -- A Novel Sigma-Lognormal Parameter Extractor for Online Signatures -- Human Document Interaction -- Near-perfect Relation Extraction from Family Books -- Estimating Human Legibility in Historic Manuscript Images - A Baseline -- A Modular and Automated Annotation Platform for Handwritings: Evaluation on Under-resourced Languages -- Reducing the Human Effort in Text Line Segmentation for Historical Documents -- DSCNN: Dimension Separable Convolutional Neural Networks for character recognition based on inertial sensor signal -- Document Synthesis -- DocSynth: A Layout Guided Approach for Controllable Document Image Synthesis -- Font Style that Fits an Image -- Font Generation Based on Image Context -- Bayesian Hyperparameter optimization of Deep Neural Network algorithms based on Ant Colony optimization -- End-to-End Approach for Recognition of Historical Digit Strings -- Generating Synthetic Handwritten Historical Documents With OCR Constrained GANs -- Synthesizing Training Data for Handwritten Music Recognition -- Towards Book Cover Design via Layout Graphs -- Graphics Recognition -- Complete Optical Music Recognition via Agnostic Transcription and Machine Translation -- Improving Machine Understanding of Human Intent in Charts -- DeMatch: Towards Understanding the Panel of Chart Documents -- Sequential Next-Symbol Prediction for Optical Music Recognition -- Which Parts Determine the Impression of the Font? -- Impressions2Font: Generating Fonts by Specifying Impressions. . En línea: 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
Título : 16th International Conference, Lausanne, Switzerland, September 5–10, 2021, Proceedings, Part IV Tipo de documento: documento electrónico Autores: Lladós, Josep, ; Lopresti, Daniel, ; Uchida, Seiichi, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XX, 799 p. 312 ilustraciones, 240 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-86337-1 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Palabras clave: Procesamiento de imágenes Visión por computador Aprendizaje automático Ingeniería Informática Red de computadoras Procesamiento del lenguaje natural (Informática) Ciencias sociales Imágenes por computadora visión reconocimiento de patrones y gráficos Ingeniería Informática y Redes Procesamiento del lenguaje natural (PNL) Aplicación informática en ciencias sociales y del comportamiento Computadoras y Educación Índice Dewey: 6 Resumen: Este conjunto de cuatro volúmenes de LNCS 12821, LNCS 12822, LNCS 12823 y LNCS 12824 constituye las actas arbitradas de la 16.ª Conferencia Internacional sobre Análisis y Reconocimiento de Documentos, ICDAR 2021, celebrada en Lausana, Suiza, en septiembre de 2021. Los 182 artículos completos fueron Se revisan y seleccionan cuidadosamente entre 340 presentaciones y se presentan con 13 informes de competencia. Los artículos están organizados en las siguientes secciones temáticas: detección y reconocimiento de textos de escenas, clasificación de documentos, conjuntos de datos y puntos de referencia de referencia, análisis de documentos históricos y reconocimiento de escritura a mano. Además, el volumen contiene resultados de 13 concursos científicos celebrados durante ICDAR 2021. Nota de contenido: Scene Text Detection and Recognition -- HRRegionNet: Chinese Character Segmentation in Historical Documents with Regional Awareness -- Fast Text v. Non-text Classification of Images -- Mask Scene Text Recognizer -- Rotated Box Is Back: An Accurate Box Proposal Network for Scene Text Detection -- Heterogeneous Network Based Semi-supervised Learning For Scene Text Recognition -- Scene Text Detection with Scribble Line -- EEM: An End-to-end Evaluation Metric for Scene Text Detection and Recognition -- SynthTIGER: Synthetic Text Image GEneratoR Towards Better Text Recognition Models -- Fast Recognition for Multidirectional and Multi-Type License Plates with 2D Spatial Attention -- A Multi-level Progressive Rectification Mechanism for Irregular Scene Text Recognition -- Representation and Correlation Enhanced Encoder-Decoder Framework for Scene Text Recognition -- FEDS - Filtered Edit Distance Surrogate -- Bidirectional Regression for Arbitrary-Shaped Text Detection -- Document Classification -- VML-HP: Hebrew paleography dataset -- Open Set Authorship Attribution toward Demystifying Victorian Periodicals -- A More Effective Sentence-Wise Text Segmentation Approach using BERT -- Data Augmentation for Writer Identification Using a Cognitive Inspired Model -- Key-guided Identity Document Classification Method by Graph Attention Network -- Document Image Quality Assessment via Explicit Blur and Text Size Estimation -- Analyzing the potential of Zero-Shot Recognition for Document Image Classification -- Gender Detection Based on Spatial Pyramid Matching -- EDNets: Deep Feature Learning for Document Image Classification based on Multi-view Encoder-Decoder Neural Networks -- Fast End-to-end Deep Learning Identity Document Detection, Classification and Cropping -- Gold-Standard Benchmarks and Data Sets -- Image Collation: Matching illustrations in manuscripts -- Revisiting the Coco Panoptic Metric to Enable Visual and Qualitative Analysis of Historical Map Instance Segmentation.-A Large Multi-Target Dataset of Common Bengali Handwritten Graphemes -- GNHK: A Dataset for English Handwriting in the Wild -- Personalizing Handwriting Recognition Systems with Limited User-Specific Samples -- An Efficient Local Word Augment Approach for Mongolian Handwritten Script Recognition -- IIIT-INDIC-HW-WORDS: A Dataset for Indic Handwritten Text Recognition -- Historical Document Analysis -- AT-ST: Self-Training Adaptation Strategy for OCR in Domains with Limited Transcriptions -- TS-Net: OCR Trained to Switch Between Text Transcription Styles -- Handwriting Recognition with Novelty -- Vectorization of Historical Maps Using Deep Edge Filtering and Closed Shape Extraction -- Data Augmentation Based on CycleGAN for Improving Woodblock-printing Mongolian Words Recognition -- SauvolaNet: Learning Adaptive Sauvola Network for Degraded Document Binarization -- Handwriting Recognition -- Recognizing Handwritten Chinese Texts with Insertion and Swapping Using A Structural AttentionNetwork -- Strikethrough Removal From Handwritten Words Using CycleGANs -- Iterative Weighted Transductive Learning for Handwriting Recognition -- Competition Reports -- ICDAR 2021 Competition on Scientific Literature Parsing -- ICDAR 2021 Competition on Historical Document Classification -- ICDAR 2021 Competition on Document Visual Question Answering -- ICDAR 2021 Competition on Scene Video Text Spotting -- ICDAR 2021 Competition on Integrated Circuit Text Spotting and Aesthetic Assessment -- ICDAR 2021 Competition on Components Segmentation Task of Document Photos -- ICDAR 2021 Competition on Historical Map Segmentation -- ICDAR 2021 Competition on Time-Quality Document Image Binarization -- ICDAR 2021 Competition on On-Line Signature Verification -- ICDAR 2021 Competition on Script Identification in the Wild -- ICDAR 2021 Competition on Scientific Table Image Recognition to LaTeX -- ICDAR 2021 Competition on Multimodal Emotion Recognition on Comics Scenes -- ICDAR 2021 Competition on Mathematical Formula Detection. En línea: 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 16th International Conference, Lausanne, Switzerland, September 5–10, 2021, Proceedings, Part IV [documento electrónico] / Lladós, Josep, ; Lopresti, Daniel, ; Uchida, Seiichi, . - 1 ed. . - [s.l.] : Springer, 2021 . - XX, 799 p. 312 ilustraciones, 240 ilustraciones en color.
ISBN : 978-3-030-86337-1
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Palabras clave: Procesamiento de imágenes Visión por computador Aprendizaje automático Ingeniería Informática Red de computadoras Procesamiento del lenguaje natural (Informática) Ciencias sociales Imágenes por computadora visión reconocimiento de patrones y gráficos Ingeniería Informática y Redes Procesamiento del lenguaje natural (PNL) Aplicación informática en ciencias sociales y del comportamiento Computadoras y Educación Índice Dewey: 6 Resumen: Este conjunto de cuatro volúmenes de LNCS 12821, LNCS 12822, LNCS 12823 y LNCS 12824 constituye las actas arbitradas de la 16.ª Conferencia Internacional sobre Análisis y Reconocimiento de Documentos, ICDAR 2021, celebrada en Lausana, Suiza, en septiembre de 2021. Los 182 artículos completos fueron Se revisan y seleccionan cuidadosamente entre 340 presentaciones y se presentan con 13 informes de competencia. Los artículos están organizados en las siguientes secciones temáticas: detección y reconocimiento de textos de escenas, clasificación de documentos, conjuntos de datos y puntos de referencia de referencia, análisis de documentos históricos y reconocimiento de escritura a mano. Además, el volumen contiene resultados de 13 concursos científicos celebrados durante ICDAR 2021. Nota de contenido: Scene Text Detection and Recognition -- HRRegionNet: Chinese Character Segmentation in Historical Documents with Regional Awareness -- Fast Text v. Non-text Classification of Images -- Mask Scene Text Recognizer -- Rotated Box Is Back: An Accurate Box Proposal Network for Scene Text Detection -- Heterogeneous Network Based Semi-supervised Learning For Scene Text Recognition -- Scene Text Detection with Scribble Line -- EEM: An End-to-end Evaluation Metric for Scene Text Detection and Recognition -- SynthTIGER: Synthetic Text Image GEneratoR Towards Better Text Recognition Models -- Fast Recognition for Multidirectional and Multi-Type License Plates with 2D Spatial Attention -- A Multi-level Progressive Rectification Mechanism for Irregular Scene Text Recognition -- Representation and Correlation Enhanced Encoder-Decoder Framework for Scene Text Recognition -- FEDS - Filtered Edit Distance Surrogate -- Bidirectional Regression for Arbitrary-Shaped Text Detection -- Document Classification -- VML-HP: Hebrew paleography dataset -- Open Set Authorship Attribution toward Demystifying Victorian Periodicals -- A More Effective Sentence-Wise Text Segmentation Approach using BERT -- Data Augmentation for Writer Identification Using a Cognitive Inspired Model -- Key-guided Identity Document Classification Method by Graph Attention Network -- Document Image Quality Assessment via Explicit Blur and Text Size Estimation -- Analyzing the potential of Zero-Shot Recognition for Document Image Classification -- Gender Detection Based on Spatial Pyramid Matching -- EDNets: Deep Feature Learning for Document Image Classification based on Multi-view Encoder-Decoder Neural Networks -- Fast End-to-end Deep Learning Identity Document Detection, Classification and Cropping -- Gold-Standard Benchmarks and Data Sets -- Image Collation: Matching illustrations in manuscripts -- Revisiting the Coco Panoptic Metric to Enable Visual and Qualitative Analysis of Historical Map Instance Segmentation.-A Large Multi-Target Dataset of Common Bengali Handwritten Graphemes -- GNHK: A Dataset for English Handwriting in the Wild -- Personalizing Handwriting Recognition Systems with Limited User-Specific Samples -- An Efficient Local Word Augment Approach for Mongolian Handwritten Script Recognition -- IIIT-INDIC-HW-WORDS: A Dataset for Indic Handwritten Text Recognition -- Historical Document Analysis -- AT-ST: Self-Training Adaptation Strategy for OCR in Domains with Limited Transcriptions -- TS-Net: OCR Trained to Switch Between Text Transcription Styles -- Handwriting Recognition with Novelty -- Vectorization of Historical Maps Using Deep Edge Filtering and Closed Shape Extraction -- Data Augmentation Based on CycleGAN for Improving Woodblock-printing Mongolian Words Recognition -- SauvolaNet: Learning Adaptive Sauvola Network for Degraded Document Binarization -- Handwriting Recognition -- Recognizing Handwritten Chinese Texts with Insertion and Swapping Using A Structural AttentionNetwork -- Strikethrough Removal From Handwritten Words Using CycleGANs -- Iterative Weighted Transductive Learning for Handwriting Recognition -- Competition Reports -- ICDAR 2021 Competition on Scientific Literature Parsing -- ICDAR 2021 Competition on Historical Document Classification -- ICDAR 2021 Competition on Document Visual Question Answering -- ICDAR 2021 Competition on Scene Video Text Spotting -- ICDAR 2021 Competition on Integrated Circuit Text Spotting and Aesthetic Assessment -- ICDAR 2021 Competition on Components Segmentation Task of Document Photos -- ICDAR 2021 Competition on Historical Map Segmentation -- ICDAR 2021 Competition on Time-Quality Document Image Binarization -- ICDAR 2021 Competition on On-Line Signature Verification -- ICDAR 2021 Competition on Script Identification in the Wild -- ICDAR 2021 Competition on Scientific Table Image Recognition to LaTeX -- ICDAR 2021 Competition on Multimodal Emotion Recognition on Comics Scenes -- ICDAR 2021 Competition on Mathematical Formula Detection. En línea: 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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