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TÃtulo : Advanced Procrustes Analysis Models in Photogrammetric Computer Vision Tipo de documento: documento electrónico Autores: Crosilla, Fabio, ; Beinat, Alberto, ; Fusiello, Andrea, ; Maset, Eleonora, ; Visintini, Domenico, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2019 Número de páginas: XI, 172 p. 66 ilustraciones, 59 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-11760-3 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: Sistemas de Información Geográfica Visión por computador Sistema de información Geográfica Clasificación: 910.285 Resumen: Este libro ofrece una visión completa de los modelos de Procusto desarrollados, incluidas las variantes isotrópica, generalizada y anisotrópica. Se trata de herramientas originales para realizar, entre otras cosas, el ajuste de bloques de paquetes y el registro global de múltiples nubes de puntos LiDAR 3D. Además, el libro también informa sobre la solución de mÃnimos cuadrados totales recientemente derivada del modelo anisotrópico de Procrustes, junto con su aplicación práctica para resolver la orientación exterior de una imagen. El libro está dirigido a todos aquellos interesados ​​en descubrir valiosos algoritmos innovadores para resolver diversos problemas fotogramétricos de visión por computadora. En este contexto, donde los modelos funcionales son no lineales, los métodos de Procusto resultan potentes ya que no requieren ninguna linealización ni valores aproximados de los parámetros desconocidos, proporcionando al mismo tiempo resultados comparables en términos de precisión a los dados por el estado. métodos más modernos. Nota de contenido: Theory of procrustes analysis models -- An introduction to computer vision and laser scanning -- Applications of procrustes analysis models. Tipo de medio : Computadora Summary : This book gives a comprehensive view of the developed procrustes models, including the isotropic, the generalized and the anisotropic variants. These represent original tools to perform, among others, the bundle block adjustment and the global registration of multiple 3D LiDAR point clouds. Moreover, the book also reports the recently derived total least squares solution of the anisotropic Procrustes model, together with its practical application in solving the exterior orientation of one image. The book is aimed at all those interested in discovering valuable innovative algorithms for solving various photogrammetric computer vision problems. In this context, where functional models are non-linear, Procrustean methods prove to be powerful since they do not require any linearization nor approximated values of the unknown parameters, furnishing at the same time results comparable in terms of accuracy with those given by the state-of-the-art methods. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Advanced Procrustes Analysis Models in Photogrammetric Computer Vision [documento electrónico] / Crosilla, Fabio, ; Beinat, Alberto, ; Fusiello, Andrea, ; Maset, Eleonora, ; Visintini, Domenico, . - 1 ed. . - [s.l.] : Springer, 2019 . - XI, 172 p. 66 ilustraciones, 59 ilustraciones en color.
ISBN : 978-3-030-11760-3
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: Sistemas de Información Geográfica Visión por computador Sistema de información Geográfica Clasificación: 910.285 Resumen: Este libro ofrece una visión completa de los modelos de Procusto desarrollados, incluidas las variantes isotrópica, generalizada y anisotrópica. Se trata de herramientas originales para realizar, entre otras cosas, el ajuste de bloques de paquetes y el registro global de múltiples nubes de puntos LiDAR 3D. Además, el libro también informa sobre la solución de mÃnimos cuadrados totales recientemente derivada del modelo anisotrópico de Procrustes, junto con su aplicación práctica para resolver la orientación exterior de una imagen. El libro está dirigido a todos aquellos interesados ​​en descubrir valiosos algoritmos innovadores para resolver diversos problemas fotogramétricos de visión por computadora. En este contexto, donde los modelos funcionales son no lineales, los métodos de Procusto resultan potentes ya que no requieren ninguna linealización ni valores aproximados de los parámetros desconocidos, proporcionando al mismo tiempo resultados comparables en términos de precisión a los dados por el estado. métodos más modernos. Nota de contenido: Theory of procrustes analysis models -- An introduction to computer vision and laser scanning -- Applications of procrustes analysis models. Tipo de medio : Computadora Summary : This book gives a comprehensive view of the developed procrustes models, including the isotropic, the generalized and the anisotropic variants. These represent original tools to perform, among others, the bundle block adjustment and the global registration of multiple 3D LiDAR point clouds. Moreover, the book also reports the recently derived total least squares solution of the anisotropic Procrustes model, together with its practical application in solving the exterior orientation of one image. The book is aimed at all those interested in discovering valuable innovative algorithms for solving various photogrammetric computer vision problems. In this context, where functional models are non-linear, Procrustean methods prove to be powerful since they do not require any linearization nor approximated values of the unknown parameters, furnishing at the same time results comparable in terms of accuracy with those given by the state-of-the-art methods. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Computer Vision – ECCV 2020 Workshops : Glasgow, UK, August 23–28, 2020, Proceedings, Part I / Tipo de documento: documento electrónico Autores: Bartoli, Adrien, ; Fusiello, Andrea, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: XXVII, 797 p. 115 ilustraciones ISBN/ISSN/DL: 978-3-030-66415-2 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: Visión por computador Aprendizaje automático Sistemas de reconocimiento de patrones Ciencias sociales Reconocimiento de patrones automatizado Aplicación informática en ciencias sociales y del comportamiento. Computadoras y Educación Clasificación: 006.37 Resumen: El conjunto de 6 volúmenes, que comprende los libros LNCS 12535 hasta 12540, constituye las actas arbitradas de 28 de los 45 talleres celebrados en la 16.ª Conferencia Europea sobre Visión por Computador, ECCV 2020. La conferencia estaba prevista para tener lugar en Glasgow, Reino Unido. durante el 23 al 28 de agosto de 2020, pero cambió a formato virtual debido a la pandemia de COVID-19. Los 249 artÃculos completos, 18 artÃculos breves y 21 contribuciones adicionales incluidos en las actas del taller fueron cuidadosamente revisados ​​y seleccionados de un total de 467 presentaciones. Los artÃculos tratan diversos temas de visión por computadora. La parte I se centra en la solidez del adversario en el mundo real; cálculo de bioimágenes; percepción, interacción e informática egocéntricas; mirada en realidad virtual, realidad aumentada y en la naturaleza; Taller TASK-CV y desafÃo VisDA; y comprensión de las emociones expresadas corporalmente. Nota de contenido: W01 - Adversarial Robustness in the Real World -- A Deep Dive into Adversarial Robustness in Zero-Shot Learning -- Towards Analyzing Semantic Robustness of Deep Neural Networks -- Likelihood Landscapes: A Unifying Principle Behind Many Adversarial Defenses -- Deep k-NN Defense Against Clean-label Data Poisoning Attacks -- Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings -- Adversarial Shape Perturbations on 3D Point Clouds -- Jacks of All Trades, Masters Of None: Addressing Distributional Shift and Obtrusiveness via Transparent Patch Attacks -- Evaluating Input Perturbation Methods for Interpreting CNNs and Saliency Map Comparison -- Adversarial Robustness of Open-set Recognition: Face Recognition and Person Re-identification -- WaveTransform: Crafting Adversarial Examples via Input Decomposition -- Robust Super-Resolution of Real Faces using Smooth Features -- Improved Robustness to Open Set Inputs via Tempered Mixup -- Defenses Against Multi-Sticker Physical Domain Attacks on Classifiers -- Adversarial Attack on Deepfake Detection using RL based Texture Patches -- W02 - BioImage Computation -- A Subpixel Residual U-Net and Feature Fusion Preprocessing for Retinal Vessel Segmentation -- Attention Deeplabv3+: Multi-level Context Attention Mechanism for Skin Lesion Segmentation -- Automated Assessment of the Curliness of Collagen Fiber in Breast Cancer -- Bionic Tracking: Using Eye Tracking to Track Biological Cells in Virtual Reality -- Cardiac MR Image Sequence Segmentation with Temporal Motion Encoding -- Classifying Nuclei Shape Heterogeneity in Breast Tumors with Skeletons -- DenoiSeg: Joint Denoising and Segmentation -- DoubleU-Net: Colorectal Cancer Diagnosis and Gland Instance Segmentation with Text-Guided Feature Control -- Dynamic Image for 3D MRI Image Alzheimer's Disease Classification -- Feedback Attention for Cell Image Segmentation -- Improving Blind Spot Denoising for Microscopy -- Learning toRestore ssTEM Images from Deformation and Corruption -- Learning to Segment Microscopy Images with Lazy Labels -- Multi-CryoGAN: Reconstruction of Continuous Conformations in Cryo-EM Using Generative Adversarial Networks -- Probabilistic Deep Learning for Instance Segmentation -- Registration of Multi-modal Volumetric Images by Establishing Cell Correspondence -- W2S: Microscopy Data with Joint Denoising and Super-Resolution for Wide field to SIM Mapping -- W03 - Egocentric Perception, Interaction and Computing -- An investigation of Deep Visual Architectures based on Preprocess Using the Retinal Transform -- Data Augmentation Techniques for the Video Question Answering Task -- W05 - Eye Gaze in VR, AR, and in the Wild -- Efficiency in Real-time Webcam Gaze Tracking -- Hierarchical HMM for Eye Movement Classification -- Domain Adaptation for Eye Segmentation -- EyeSeg: Fast and Efficient Few-Shot Semantic Segmentation -- W10 - TASK-CV Workshop and VisDA Challenge -- Class-imbalanced Domain Adaptation: An Empirical Odyssey -- Sequential Learning for Domain Generalization -- Generating Visual and Semantic Explanations with Multi-task Network -- SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection -- Using Sentences as Semantic Representations in Large Scale Zero-Shot Learning -- Adversarial Transfer of Camera Pose Regression -- Disentangled Image Generation for Unsupervised Domain Adaptation -- Domain Generalization using Shape Representation -- Bi-Dimensional Feature Alignment for Cross-Domain Object Detection -- Bayesian Zero-Shot Learning -- Self-Supervision for 3D Real-World Challenges -- Diversified Mutual Metric Learning -- Domain Generalization vs Data Augmentation: an Unbiased Perspective -- W11 - Bodily Expressed Emotion Understanding -- Panel: Bodily Expressed Emotion Understanding Research: A Multidisciplinary Perspective -- Emotion Understanding in Videos Through Body, Context, and Visual-Semantic Embedding Loss -- Noisy Student Training using Body Language Dataset Improves Facial Expression Recognition -- Emotion Embedded Pose Generation -- Understanding Political Communication Styles in Televised Debates via Body Movements. Tipo de medio : Computadora Summary : The 6-volume set, comprising the LNCS books 12535 until 12540, constitutes the refereed proceedings of 28 out of the 45 workshops held at the 16th European Conference on Computer Vision, ECCV 2020. The conference was planned to take place in Glasgow, UK, during August 23-28, 2020, but changed to a virtual format due to the COVID-19 pandemic. The 249 full papers, 18 short papers, and 21 further contributions included in the workshop proceedings were carefully reviewed and selected from a total of 467 submissions. The papers deal with diverse computer vision topics. Part I focusses on adversarial robustness in the real world; bioimage computation; egocentric perception, interaction and computing; eye gaze in VR, AR, and in the wild; TASK-CV workshop and VisDA challenge; and bodily expressed emotion understanding. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Computer Vision – ECCV 2020 Workshops : Glasgow, UK, August 23–28, 2020, Proceedings, Part I / [documento electrónico] / Bartoli, Adrien, ; Fusiello, Andrea, . - 1 ed. . - [s.l.] : Springer, 2020 . - XXVII, 797 p. 115 ilustraciones.
ISBN : 978-3-030-66415-2
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: Visión por computador Aprendizaje automático Sistemas de reconocimiento de patrones Ciencias sociales Reconocimiento de patrones automatizado Aplicación informática en ciencias sociales y del comportamiento. Computadoras y Educación Clasificación: 006.37 Resumen: El conjunto de 6 volúmenes, que comprende los libros LNCS 12535 hasta 12540, constituye las actas arbitradas de 28 de los 45 talleres celebrados en la 16.ª Conferencia Europea sobre Visión por Computador, ECCV 2020. La conferencia estaba prevista para tener lugar en Glasgow, Reino Unido. durante el 23 al 28 de agosto de 2020, pero cambió a formato virtual debido a la pandemia de COVID-19. Los 249 artÃculos completos, 18 artÃculos breves y 21 contribuciones adicionales incluidos en las actas del taller fueron cuidadosamente revisados ​​y seleccionados de un total de 467 presentaciones. Los artÃculos tratan diversos temas de visión por computadora. La parte I se centra en la solidez del adversario en el mundo real; cálculo de bioimágenes; percepción, interacción e informática egocéntricas; mirada en realidad virtual, realidad aumentada y en la naturaleza; Taller TASK-CV y desafÃo VisDA; y comprensión de las emociones expresadas corporalmente. Nota de contenido: W01 - Adversarial Robustness in the Real World -- A Deep Dive into Adversarial Robustness in Zero-Shot Learning -- Towards Analyzing Semantic Robustness of Deep Neural Networks -- Likelihood Landscapes: A Unifying Principle Behind Many Adversarial Defenses -- Deep k-NN Defense Against Clean-label Data Poisoning Attacks -- Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings -- Adversarial Shape Perturbations on 3D Point Clouds -- Jacks of All Trades, Masters Of None: Addressing Distributional Shift and Obtrusiveness via Transparent Patch Attacks -- Evaluating Input Perturbation Methods for Interpreting CNNs and Saliency Map Comparison -- Adversarial Robustness of Open-set Recognition: Face Recognition and Person Re-identification -- WaveTransform: Crafting Adversarial Examples via Input Decomposition -- Robust Super-Resolution of Real Faces using Smooth Features -- Improved Robustness to Open Set Inputs via Tempered Mixup -- Defenses Against Multi-Sticker Physical Domain Attacks on Classifiers -- Adversarial Attack on Deepfake Detection using RL based Texture Patches -- W02 - BioImage Computation -- A Subpixel Residual U-Net and Feature Fusion Preprocessing for Retinal Vessel Segmentation -- Attention Deeplabv3+: Multi-level Context Attention Mechanism for Skin Lesion Segmentation -- Automated Assessment of the Curliness of Collagen Fiber in Breast Cancer -- Bionic Tracking: Using Eye Tracking to Track Biological Cells in Virtual Reality -- Cardiac MR Image Sequence Segmentation with Temporal Motion Encoding -- Classifying Nuclei Shape Heterogeneity in Breast Tumors with Skeletons -- DenoiSeg: Joint Denoising and Segmentation -- DoubleU-Net: Colorectal Cancer Diagnosis and Gland Instance Segmentation with Text-Guided Feature Control -- Dynamic Image for 3D MRI Image Alzheimer's Disease Classification -- Feedback Attention for Cell Image Segmentation -- Improving Blind Spot Denoising for Microscopy -- Learning toRestore ssTEM Images from Deformation and Corruption -- Learning to Segment Microscopy Images with Lazy Labels -- Multi-CryoGAN: Reconstruction of Continuous Conformations in Cryo-EM Using Generative Adversarial Networks -- Probabilistic Deep Learning for Instance Segmentation -- Registration of Multi-modal Volumetric Images by Establishing Cell Correspondence -- W2S: Microscopy Data with Joint Denoising and Super-Resolution for Wide field to SIM Mapping -- W03 - Egocentric Perception, Interaction and Computing -- An investigation of Deep Visual Architectures based on Preprocess Using the Retinal Transform -- Data Augmentation Techniques for the Video Question Answering Task -- W05 - Eye Gaze in VR, AR, and in the Wild -- Efficiency in Real-time Webcam Gaze Tracking -- Hierarchical HMM for Eye Movement Classification -- Domain Adaptation for Eye Segmentation -- EyeSeg: Fast and Efficient Few-Shot Semantic Segmentation -- W10 - TASK-CV Workshop and VisDA Challenge -- Class-imbalanced Domain Adaptation: An Empirical Odyssey -- Sequential Learning for Domain Generalization -- Generating Visual and Semantic Explanations with Multi-task Network -- SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection -- Using Sentences as Semantic Representations in Large Scale Zero-Shot Learning -- Adversarial Transfer of Camera Pose Regression -- Disentangled Image Generation for Unsupervised Domain Adaptation -- Domain Generalization using Shape Representation -- Bi-Dimensional Feature Alignment for Cross-Domain Object Detection -- Bayesian Zero-Shot Learning -- Self-Supervision for 3D Real-World Challenges -- Diversified Mutual Metric Learning -- Domain Generalization vs Data Augmentation: an Unbiased Perspective -- W11 - Bodily Expressed Emotion Understanding -- Panel: Bodily Expressed Emotion Understanding Research: A Multidisciplinary Perspective -- Emotion Understanding in Videos Through Body, Context, and Visual-Semantic Embedding Loss -- Noisy Student Training using Body Language Dataset Improves Facial Expression Recognition -- Emotion Embedded Pose Generation -- Understanding Political Communication Styles in Televised Debates via Body Movements. Tipo de medio : Computadora Summary : The 6-volume set, comprising the LNCS books 12535 until 12540, constitutes the refereed proceedings of 28 out of the 45 workshops held at the 16th European Conference on Computer Vision, ECCV 2020. The conference was planned to take place in Glasgow, UK, during August 23-28, 2020, but changed to a virtual format due to the COVID-19 pandemic. The 249 full papers, 18 short papers, and 21 further contributions included in the workshop proceedings were carefully reviewed and selected from a total of 467 submissions. The papers deal with diverse computer vision topics. Part I focusses on adversarial robustness in the real world; bioimage computation; egocentric perception, interaction and computing; eye gaze in VR, AR, and in the wild; TASK-CV workshop and VisDA challenge; and bodily expressed emotion understanding. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Computer Vision – ECCV 2020 Workshops : Glasgow, UK, August 23–28, 2020, Proceedings, Part II / Tipo de documento: documento electrónico Autores: Bartoli, Adrien, ; Fusiello, Andrea, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: XXVII, 759 p. 13 ilustraciones ISBN/ISSN/DL: 978-3-030-66096-3 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: Visión por computador Procesamiento del lenguaje natural (Informática) Sistemas de reconocimiento de patrones Ciencias sociales Interfaces de usuario (sistemas informáticos) La interacción persona-ordenador Procesamiento del lenguaje natural (PNL) Reconocimiento de patrones automatizado Aplicación informática en ciencias sociales y del comportamiento. Interfaces de usuario e interacción persona-computadora Clasificación: 006.37 Resumen: El conjunto de 6 volúmenes, que comprende los libros LNCS 12535 hasta 12540, constituye las actas arbitradas de 28 de los 45 talleres celebrados en la 16.ª Conferencia Europea sobre Visión por Computador, ECCV 2020. La conferencia estaba prevista para tener lugar en Glasgow, Reino Unido. durante el 23 al 28 de agosto de 2020, pero cambió a formato virtual debido a la pandemia de COVID-19. Los 249 artÃculos completos, 18 artÃculos breves y 21 contribuciones adicionales incluidos en las actas del taller fueron cuidadosamente revisados ​​y seleccionados de un total de 467 presentaciones. Los artÃculos tratan diversos temas de visión por computadora. La Parte II se centra en los comandos para vehÃculos autónomos; visión por computadora para análisis ART; reconocimiento, traducción y producción de lenguas de signos; antecedentes inductivos visuales para un aprendizaje profundo eficiente en datos; Poses 3D en el desafÃo salvaje; localización basada en mapas para conducción autónoma; recuperar la pose del objeto 6D; y recuperación de forma a partir de escaneos 3D texturizados parciales. Nota de contenido: W12 - Commands 4 Autonomous Vehicles -- Commands 4 Autonomous Vehicles (C4AV) Workshop Summary -- Commands for Autonomous Vehicles by Progressively Stacking Visual-Linguistic Representations -- C4AV: Learning Cross-Modal Representations from Transformers -- Cosine meets Softmax: A tough-to-beat baseline for visual grounding -- Attention Enhanced Single Stage Multimodal Reasoner -- AttnGrounder: Talking to Cars with Attention -- W13 - Computer VISion for ART Analysis -- Detecting Faces, Visual Medium Types, and Gender in Historical Advertisements, 1950-1995 -- A Dataset and Baselines for Visual Question Answering on Art -- Understanding Compositional Structures in Art Historical Images using Pose and Gaze Priors -- Demographic In uences on Contemporary Art with Unsupervised Style Embeddings -- Geolocating Time: Digitisation and Reverse Engineering of a Roman Sundial -- Object Retrieval and Localization in Large Art Collections using Deep Multi-Style Feature Fusion and Iterative Voting -- W15 - Sign Language Recognition, Translation and Production -- SLRTP 2020: The Sign Language Recognition, Translation & Production Workshop -- Automatic Segmentation of Sign Language into Subtitle-Units -- Phonologically-meaningful Subunits for Deep Learning-based Sign Language Recognition -- Recognition of an effective and grammatical facial expressions: a study for Brazilian sign language -- Real-Time Sign Language Detection using Human Pose Estimation -- Exploiting 3D Hand Pose Estimation in Deep Learning-Based Sign Language Recognition from RGB Videos -- A Plan for Developing an Auslan Communication Technologies Pipeline -- A Multi-modal Machine Learning Approach and Toolkit to Automate Recognition of Early Stages of Dementia among British Sign Language Users -- Score-level Multi Cue Fusion for Sign Language Recognition -- Unsupervised Discovery of Sign Terms by K-Nearest Neighbours Approach -- Improving Keyword Search Performance in Sign Language with Hand Shape Features -- W16 - Visual InductivePriors for Data-Efficient Deep Learning -- Lightweight Action Recognition in Compressed Videos -- On sparse connectivity, adversarial robustness, and a novel model of the artificial neuron -- Injecting Prior Knowledge into Image Caption Generation -- Learning Temporally Invariant and Localizable Features via Data Augmentation for Video Recognition -- Unsupervised Learning of Video Representations via Dense Trajectory Clustering -- Distilling Visual Priors from Self-Supervised Learning -- Unsupervised Image Classi cation for Deep Representation Learning -- TDMPNet: Prototype Network with Recurrent Top-Down Modulation for Robust Object Classi cation under Partial Occlusion -- What leads to generalization of object proposals -- A Self-Supervised Framework for Human Instance Segmentation -- Multiple interaction learning with question-type prior knowledge for constraining answer search space in visual question answering -- A visual inductive priors framework for data-efficient image classification -- W18 - 3D Poses In the Wild Challenge -- Predicting Camera Viewpoint Improves Cross-dataset Generalization for 3D Human Pose Estimation -- Beyond Weak Perspective for Monocular 3D Human Pose Estimation -- W20 - Map-based Localization for Autonomous Driving -- Geographically Local Representation Learning with a Spatial Prior for Visual Localization -- W22 - Recovering 6D Object Pose -- BOP Challenge 2020 on 6D Object Localization -- StructureFromGAN: Single Image 3D Model Reconstruction and Photorealistic Texturing -- 6 DoF Pose Estimation of Textureless Objects from Multiple RGB Frames -- Semi-supervised Viewpoint Estimation with Geometry-aware Conditional Generation -- Physical Plausibility of 6D Pose Estimates in Scenes of Static Rigid Objects -- DronePose: Photorealistic UAV-Assistant Dataset Synthesis for 3D Pose Estimation via a Smooth Silhouette Loss -- How to track your dragon: A Multi-Attentional Framework for real-time RGB-D 6-DOF Object Pose Tracking -- Hybrid Approach for 6DoF Pose Estimation -- Leaping from 2D Detection to E cient 6DoF Object Pose Estimation -- W23 - SHApe Recovery from Partial Textured 3D Scans -- Implicit Feature Networks for Texture Completion from Partial 3D Data -- 3DBooSTeR: 3D Body Shape and Texture Recovery -- SHARP 2020: The 1st Shape Recovery from Partial Textured 3D Scans Challenge Results. Tipo de medio : Computadora Summary : The 6-volume set, comprising the LNCS books 12535 until 12540, constitutes the refereed proceedings of 28 out of the 45 workshops held at the 16th European Conference on Computer Vision, ECCV 2020. The conference was planned to take place in Glasgow, UK, during August 23-28, 2020, but changed to a virtual format due to the COVID-19 pandemic. The 249 full papers, 18 short papers, and 21 further contributions included in the workshop proceedings were carefully reviewed and selected from a total of 467 submissions. The papers deal with diverse computer vision topics. Part II focusses on commands for autonomous vehicles; computer vision for ART analysis; sign language recognition, translation and production; visual inductive priors for data-efficient deep learning; 3D poses in the wild challenge; map-based localization for autonomous driving; recovering 6D object pose; and shape recovery from partial textured 3D scans. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Computer Vision – ECCV 2020 Workshops : Glasgow, UK, August 23–28, 2020, Proceedings, Part II / [documento electrónico] / Bartoli, Adrien, ; Fusiello, Andrea, . - 1 ed. . - [s.l.] : Springer, 2020 . - XXVII, 759 p. 13 ilustraciones.
ISBN : 978-3-030-66096-3
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: Visión por computador Procesamiento del lenguaje natural (Informática) Sistemas de reconocimiento de patrones Ciencias sociales Interfaces de usuario (sistemas informáticos) La interacción persona-ordenador Procesamiento del lenguaje natural (PNL) Reconocimiento de patrones automatizado Aplicación informática en ciencias sociales y del comportamiento. Interfaces de usuario e interacción persona-computadora Clasificación: 006.37 Resumen: El conjunto de 6 volúmenes, que comprende los libros LNCS 12535 hasta 12540, constituye las actas arbitradas de 28 de los 45 talleres celebrados en la 16.ª Conferencia Europea sobre Visión por Computador, ECCV 2020. La conferencia estaba prevista para tener lugar en Glasgow, Reino Unido. durante el 23 al 28 de agosto de 2020, pero cambió a formato virtual debido a la pandemia de COVID-19. Los 249 artÃculos completos, 18 artÃculos breves y 21 contribuciones adicionales incluidos en las actas del taller fueron cuidadosamente revisados ​​y seleccionados de un total de 467 presentaciones. Los artÃculos tratan diversos temas de visión por computadora. La Parte II se centra en los comandos para vehÃculos autónomos; visión por computadora para análisis ART; reconocimiento, traducción y producción de lenguas de signos; antecedentes inductivos visuales para un aprendizaje profundo eficiente en datos; Poses 3D en el desafÃo salvaje; localización basada en mapas para conducción autónoma; recuperar la pose del objeto 6D; y recuperación de forma a partir de escaneos 3D texturizados parciales. Nota de contenido: W12 - Commands 4 Autonomous Vehicles -- Commands 4 Autonomous Vehicles (C4AV) Workshop Summary -- Commands for Autonomous Vehicles by Progressively Stacking Visual-Linguistic Representations -- C4AV: Learning Cross-Modal Representations from Transformers -- Cosine meets Softmax: A tough-to-beat baseline for visual grounding -- Attention Enhanced Single Stage Multimodal Reasoner -- AttnGrounder: Talking to Cars with Attention -- W13 - Computer VISion for ART Analysis -- Detecting Faces, Visual Medium Types, and Gender in Historical Advertisements, 1950-1995 -- A Dataset and Baselines for Visual Question Answering on Art -- Understanding Compositional Structures in Art Historical Images using Pose and Gaze Priors -- Demographic In uences on Contemporary Art with Unsupervised Style Embeddings -- Geolocating Time: Digitisation and Reverse Engineering of a Roman Sundial -- Object Retrieval and Localization in Large Art Collections using Deep Multi-Style Feature Fusion and Iterative Voting -- W15 - Sign Language Recognition, Translation and Production -- SLRTP 2020: The Sign Language Recognition, Translation & Production Workshop -- Automatic Segmentation of Sign Language into Subtitle-Units -- Phonologically-meaningful Subunits for Deep Learning-based Sign Language Recognition -- Recognition of an effective and grammatical facial expressions: a study for Brazilian sign language -- Real-Time Sign Language Detection using Human Pose Estimation -- Exploiting 3D Hand Pose Estimation in Deep Learning-Based Sign Language Recognition from RGB Videos -- A Plan for Developing an Auslan Communication Technologies Pipeline -- A Multi-modal Machine Learning Approach and Toolkit to Automate Recognition of Early Stages of Dementia among British Sign Language Users -- Score-level Multi Cue Fusion for Sign Language Recognition -- Unsupervised Discovery of Sign Terms by K-Nearest Neighbours Approach -- Improving Keyword Search Performance in Sign Language with Hand Shape Features -- W16 - Visual InductivePriors for Data-Efficient Deep Learning -- Lightweight Action Recognition in Compressed Videos -- On sparse connectivity, adversarial robustness, and a novel model of the artificial neuron -- Injecting Prior Knowledge into Image Caption Generation -- Learning Temporally Invariant and Localizable Features via Data Augmentation for Video Recognition -- Unsupervised Learning of Video Representations via Dense Trajectory Clustering -- Distilling Visual Priors from Self-Supervised Learning -- Unsupervised Image Classi cation for Deep Representation Learning -- TDMPNet: Prototype Network with Recurrent Top-Down Modulation for Robust Object Classi cation under Partial Occlusion -- What leads to generalization of object proposals -- A Self-Supervised Framework for Human Instance Segmentation -- Multiple interaction learning with question-type prior knowledge for constraining answer search space in visual question answering -- A visual inductive priors framework for data-efficient image classification -- W18 - 3D Poses In the Wild Challenge -- Predicting Camera Viewpoint Improves Cross-dataset Generalization for 3D Human Pose Estimation -- Beyond Weak Perspective for Monocular 3D Human Pose Estimation -- W20 - Map-based Localization for Autonomous Driving -- Geographically Local Representation Learning with a Spatial Prior for Visual Localization -- W22 - Recovering 6D Object Pose -- BOP Challenge 2020 on 6D Object Localization -- StructureFromGAN: Single Image 3D Model Reconstruction and Photorealistic Texturing -- 6 DoF Pose Estimation of Textureless Objects from Multiple RGB Frames -- Semi-supervised Viewpoint Estimation with Geometry-aware Conditional Generation -- Physical Plausibility of 6D Pose Estimates in Scenes of Static Rigid Objects -- DronePose: Photorealistic UAV-Assistant Dataset Synthesis for 3D Pose Estimation via a Smooth Silhouette Loss -- How to track your dragon: A Multi-Attentional Framework for real-time RGB-D 6-DOF Object Pose Tracking -- Hybrid Approach for 6DoF Pose Estimation -- Leaping from 2D Detection to E cient 6DoF Object Pose Estimation -- W23 - SHApe Recovery from Partial Textured 3D Scans -- Implicit Feature Networks for Texture Completion from Partial 3D Data -- 3DBooSTeR: 3D Body Shape and Texture Recovery -- SHARP 2020: The 1st Shape Recovery from Partial Textured 3D Scans Challenge Results. Tipo de medio : Computadora Summary : The 6-volume set, comprising the LNCS books 12535 until 12540, constitutes the refereed proceedings of 28 out of the 45 workshops held at the 16th European Conference on Computer Vision, ECCV 2020. The conference was planned to take place in Glasgow, UK, during August 23-28, 2020, but changed to a virtual format due to the COVID-19 pandemic. The 249 full papers, 18 short papers, and 21 further contributions included in the workshop proceedings were carefully reviewed and selected from a total of 467 submissions. The papers deal with diverse computer vision topics. Part II focusses on commands for autonomous vehicles; computer vision for ART analysis; sign language recognition, translation and production; visual inductive priors for data-efficient deep learning; 3D poses in the wild challenge; map-based localization for autonomous driving; recovering 6D object pose; and shape recovery from partial textured 3D scans. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Computer Vision – ECCV 2020 Workshops : Glasgow, UK, August 23–28, 2020, Proceedings, Part III / Tipo de documento: documento electrónico Autores: Bartoli, Adrien, ; Fusiello, Andrea, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: XXVIII, 762 p. 356 ilustraciones, 338 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-67070-2 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: Visión por computador Clasificación: 006.37 Resumen: El conjunto de 6 volúmenes, que comprende los libros LNCS 12535 hasta 12540, constituye las actas arbitradas de 28 de los 45 talleres celebrados en la 16.ª Conferencia Europea sobre Visión por Computador, ECCV 2020. La conferencia estaba prevista para tener lugar en Glasgow, Reino Unido. durante el 23 al 28 de agosto de 2020, pero cambió a formato virtual debido a la pandemia de COVID-19. Los 249 artÃculos completos, 18 artÃculos breves y 21 contribuciones adicionales incluidos en las actas del taller fueron cuidadosamente revisados ​​y seleccionados de un total de 467 presentaciones. Los artÃculos tratan diversos temas de visión por computadora. La Parte III incluye el Taller y DesafÃos de Avances en Manipulación de Imágenes. . Nota de contenido: W24 - Advances in Image Manipulation Workshop and Challenges -- AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results -- Residual Feature Distillation Network for Lightweight Image Super-Resolution. -Efficient Image Super-Resolution using Pixel Attention -- LarvaNet: Hierarchical Super-Resolution via Multi-exit Architecture -- Efficient Super-Resolution using MobileNetV3 -- Multi-Attention Based Ultra Lightweight Image Super-Resolution -- Adaptive Hybrid Composition based Super-Resolution Network via Fine-grained Channel Pruning -- IdleSR: E cient Super-Resolution Network with Multi-Scale IdleBlocks -- IM 2020 Challenge on Learned Image Signal Processing Pipeline -- EEDNet: Enhanced Encoder Decoder Network for AutoISP -- AWNet: Attentive Wavelet Network for ImageISP -- PyNET-CA: Enhanced PyNET with Channel Attention for End-to-end Mobile Image Signal Processing -- AIM 2020 Challenge on Rendering Realistic Bokeh -- BGGAN: Bokeh-Glass Generative Adversarial Network for Rendering Realistic Bokeh -- Bokeh Rendering from Defocus Estimation -- Human Motion Transfer from Poses in the Wild -- FamilyGAN: Generating Kin Face Images using Generative Adversarial Networks -- Genetic-GAN: Synthesizing images between two domains by genetic crossover -- GIA-Net: Global Information Aware Network for Low-light Imaging -- Flexible Example-based Image Enhancement with Task Adaptive Global Feature Self-Guided Network -- A Benchmark for Burst Color Constancy -- Noise-Aware Merging of High Dynamic Range Image Stacks without Camera Calibration -- AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results -- Real Image Super Resolution via Heterogeneous Model Ensemble using GP-NAS -- Enhanced Adaptive Dense Connection Single Image Super-Resolution -- Self-Calibrated Attention Neural Network for Real-World Super Resolution -- FAN: Frequency Aggregation Network for Real Image Super-resolution -- Deep Cyclic Generative Adversarial Residual Convolutional Networks for Real Image Super-Resolution -- AIM 2020: Scene Relighting and Illumination Estimation Challenge -- WDRN : A Wavelet Decomposed RelightNet for Image Relighting -- SA-AE for Any-to-any Relighting -- Deep Relighting Networks for Image Light Source Manipulation -- LightNet: Deep Learning based Illumination Estimation from Virtual Images -- An Ensemble Neural Network for Scene Relighting with Light Classification -- Long-Term Human Video Generation of Multiple Futures Using Poses -- AgingMapGAN (AMGAN): High-Resolution Controllable Face Aging with Spatially-Aware Conditional GANs -- Unconstrained Text Detection in Manga: a New Dataset and Baseline -- Joint Demosaicking and Denoising for CFA and MSFA Images using a Mosaic-Adaptive Dense Residual Network -- Gated Texture CNN for Efficient and Configurable Image Denoising -- Quantized Warping and Residual Temporal Integration for Video Super-Resolution on Fast Motions -- Pyramidal Edge-maps and Attention based Guided Thermal Super-resolution -- AIM 2020 Challenge on ImageExtreme Inpainting -- Fast Light-Weight Network for Extreme Image Inpainting Challenge. Tipo de medio : Computadora Summary : The 6-volume set, comprising the LNCS books 12535 until 12540, constitutes the refereed proceedings of 28 out of the 45 workshops held at the 16th European Conference on Computer Vision, ECCV 2020. The conference was planned to take place in Glasgow, UK, during August 23-28, 2020, but changed to a virtual format due to the COVID-19 pandemic. The 249 full papers, 18 short papers, and 21 further contributions included in the workshop proceedings were carefully reviewed and selected from a total of 467 submissions. The papers deal with diverse computer vision topics. Part III includes the Advances in Image Manipulation Workshop and Challenges. . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Computer Vision – ECCV 2020 Workshops : Glasgow, UK, August 23–28, 2020, Proceedings, Part III / [documento electrónico] / Bartoli, Adrien, ; Fusiello, Andrea, . - 1 ed. . - [s.l.] : Springer, 2020 . - XXVIII, 762 p. 356 ilustraciones, 338 ilustraciones en color.
ISBN : 978-3-030-67070-2
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: Visión por computador Clasificación: 006.37 Resumen: El conjunto de 6 volúmenes, que comprende los libros LNCS 12535 hasta 12540, constituye las actas arbitradas de 28 de los 45 talleres celebrados en la 16.ª Conferencia Europea sobre Visión por Computador, ECCV 2020. La conferencia estaba prevista para tener lugar en Glasgow, Reino Unido. durante el 23 al 28 de agosto de 2020, pero cambió a formato virtual debido a la pandemia de COVID-19. Los 249 artÃculos completos, 18 artÃculos breves y 21 contribuciones adicionales incluidos en las actas del taller fueron cuidadosamente revisados ​​y seleccionados de un total de 467 presentaciones. Los artÃculos tratan diversos temas de visión por computadora. La Parte III incluye el Taller y DesafÃos de Avances en Manipulación de Imágenes. . Nota de contenido: W24 - Advances in Image Manipulation Workshop and Challenges -- AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results -- Residual Feature Distillation Network for Lightweight Image Super-Resolution. -Efficient Image Super-Resolution using Pixel Attention -- LarvaNet: Hierarchical Super-Resolution via Multi-exit Architecture -- Efficient Super-Resolution using MobileNetV3 -- Multi-Attention Based Ultra Lightweight Image Super-Resolution -- Adaptive Hybrid Composition based Super-Resolution Network via Fine-grained Channel Pruning -- IdleSR: E cient Super-Resolution Network with Multi-Scale IdleBlocks -- IM 2020 Challenge on Learned Image Signal Processing Pipeline -- EEDNet: Enhanced Encoder Decoder Network for AutoISP -- AWNet: Attentive Wavelet Network for ImageISP -- PyNET-CA: Enhanced PyNET with Channel Attention for End-to-end Mobile Image Signal Processing -- AIM 2020 Challenge on Rendering Realistic Bokeh -- BGGAN: Bokeh-Glass Generative Adversarial Network for Rendering Realistic Bokeh -- Bokeh Rendering from Defocus Estimation -- Human Motion Transfer from Poses in the Wild -- FamilyGAN: Generating Kin Face Images using Generative Adversarial Networks -- Genetic-GAN: Synthesizing images between two domains by genetic crossover -- GIA-Net: Global Information Aware Network for Low-light Imaging -- Flexible Example-based Image Enhancement with Task Adaptive Global Feature Self-Guided Network -- A Benchmark for Burst Color Constancy -- Noise-Aware Merging of High Dynamic Range Image Stacks without Camera Calibration -- AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results -- Real Image Super Resolution via Heterogeneous Model Ensemble using GP-NAS -- Enhanced Adaptive Dense Connection Single Image Super-Resolution -- Self-Calibrated Attention Neural Network for Real-World Super Resolution -- FAN: Frequency Aggregation Network for Real Image Super-resolution -- Deep Cyclic Generative Adversarial Residual Convolutional Networks for Real Image Super-Resolution -- AIM 2020: Scene Relighting and Illumination Estimation Challenge -- WDRN : A Wavelet Decomposed RelightNet for Image Relighting -- SA-AE for Any-to-any Relighting -- Deep Relighting Networks for Image Light Source Manipulation -- LightNet: Deep Learning based Illumination Estimation from Virtual Images -- An Ensemble Neural Network for Scene Relighting with Light Classification -- Long-Term Human Video Generation of Multiple Futures Using Poses -- AgingMapGAN (AMGAN): High-Resolution Controllable Face Aging with Spatially-Aware Conditional GANs -- Unconstrained Text Detection in Manga: a New Dataset and Baseline -- Joint Demosaicking and Denoising for CFA and MSFA Images using a Mosaic-Adaptive Dense Residual Network -- Gated Texture CNN for Efficient and Configurable Image Denoising -- Quantized Warping and Residual Temporal Integration for Video Super-Resolution on Fast Motions -- Pyramidal Edge-maps and Attention based Guided Thermal Super-resolution -- AIM 2020 Challenge on ImageExtreme Inpainting -- Fast Light-Weight Network for Extreme Image Inpainting Challenge. Tipo de medio : Computadora Summary : The 6-volume set, comprising the LNCS books 12535 until 12540, constitutes the refereed proceedings of 28 out of the 45 workshops held at the 16th European Conference on Computer Vision, ECCV 2020. The conference was planned to take place in Glasgow, UK, during August 23-28, 2020, but changed to a virtual format due to the COVID-19 pandemic. The 249 full papers, 18 short papers, and 21 further contributions included in the workshop proceedings were carefully reviewed and selected from a total of 467 submissions. The papers deal with diverse computer vision topics. Part III includes the Advances in Image Manipulation Workshop and Challenges. . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Computer Vision – ECCV 2020 Workshops : Glasgow, UK, August 23–28, 2020, Proceedings, Part IV / Tipo de documento: documento electrónico Autores: Bartoli, Adrien, ; Fusiello, Andrea, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: XXVIII, 755 p. 287 ilustraciones ISBN/ISSN/DL: 978-3-030-66823-5 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: Visión por computador Aprendizaje automático Sistemas de reconocimiento de patrones Software de la aplicacion Computadoras Propósitos especiales Reconocimiento de patrones automatizado Aplicaciones informáticas y de sistemas de información Sistemas de propósito especial y basados ​​en aplicaciones Clasificación: 006.37 Resumen: El conjunto de 6 volúmenes, que comprende los libros LNCS 12535 hasta 12540, constituye las actas arbitradas de 28 de los 45 talleres celebrados en la 16.ª Conferencia Europea sobre Visión por Computador, ECCV 2020. La conferencia estaba prevista para tener lugar en Glasgow, Reino Unido. durante el 23 al 28 de agosto de 2020, pero cambió a formato virtual debido a la pandemia de COVID-19. Los 249 artÃculos completos, 18 artÃculos breves y 21 contribuciones adicionales incluidos en las actas del taller fueron cuidadosamente revisados ​​y seleccionados de un total de 467 presentaciones. Los artÃculos tratan diversos temas de visión por computadora. La Parte IV se centra en los avances en la manipulación de imágenes; visión asistida por computadora y robótica; y visión por computadora para vehÃculos aéreos no tripulados. Nota de contenido: W24 - Advances in Image Manipulation Workshop and Challenges -- DeepGIN: Deep Generative Inpainting Network for Extreme Image Inpainting -- AIM 2020 Challenge on Video Temporal Super-Resolution -- Enhanced Quadratic Video Interpolation -- AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results -- Deformable Kernel Convolutional Network for Video Extreme Super-Resolution -- Multi-Objective Reinforced Evolution in Mobile Neural Architecture Search -- Deep Plug-and-Play Video Super-Resolution -- Deep Adaptive Inference Networks for Single Image Super-Resolution -- Densely Connecting Depth Maps for Monocular Depth Estimation -- Single image dehazing for a variety of haze scenarios using back projected pyramid network -- A Benchmark for Inpainting of Clothing Images with Irregular Holes -- Learning to improve image compression without changing the standard decoder -- Conditional Adversarial Camera Model Anonymization -- Disrupting Deepfakes: Adversarial Attacks AgainstConditional Image Translation Networks and Facial Manipulation Systems -- Efficiently Detecting Plausible Locations for Object Placement using Masked Convolutions -- L2-Constrained RemNet for Camera Model Identification and Image Manipulation Detection -- W25 - Assistive Computer Vision and Robotics -- We Learn Better Road Pothole Detection: from Attention Aggregation to Adversarial Domain Adaptation -- Multi-channel Transformers for Multi-articulatory Sign Language Translation -- Synthetic Convolutional Features for Improved Semantic Segmentation -- Autonomous Car Chasing -- SignSynth: Data-Driven Sign Language Video Generation -- ALET (Automated Labeling of Equipment and Tools): A Dataset for Tool Detection and Human Worker Safety Detection -- DMD: A Large-Scale Multi-Modal Driver Monitoring Dataset for Attention and Alertness Analysis -- Exploiting Scene-specific Features for Object Goal Navigation -- Active Crowd Analysis for Pandemic Risk Mitigation for Blind or Visually Impaired Persons -- Enhancing Robot-Assisted WEEE Disassembly through Optimizing Automated Detection of Small Components -- Structural Plan of Indoor Scenes with Personalized Preferences -- Behavioural pattern discovery from collections of egocentric photo-streams -- Motion Prediction for First-person Vision Multi-object Tracking -- i-Walk Intelligent Assessment System: Activity, Mobility, Intention, Communication -- Adaptive Virtual Reality Exergame for Individualized Rehabilitation for Persons with Spinal Cord Injury -- W26 - Computer Vision for UAVs Workshop and Challenge -- ATG-PVD: Ticketing Parking Violations on A Drone -- Next-Best View Policy for 3D Reconstruction -- A Flow Base Bi-path Network for Cross-scene Video Crowd Understanding in Aerial View -- Multi-view Convolutional Network for Crowd Counting in Drone-captured Images -- PAS Tracker: Position-, Appearance- and Size-aware Multi-Object Tracking in Drone Videos -- Insights on Evaluation of Camera Re-localization Using Relative Pose Regression -- A Deep Learning Filter for Visual Drone Single Object Tracking -- Object Detection Using Clustering Algorithm Adaptive Searching Regions in Aerial Images -- Real-Time Embedded Computer Vision on UAVs: UAVision2020 workshop summary -- VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results -- VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Result -- VisDrone-MOT2020: The Vision Meets Drone Multiple Object Tracking Challenge Results -- VisDrone-SOT2020: The Vision Meets Drone Single Object Tracking Challenge Results. Tipo de medio : Computadora Summary : The 6-volume set, comprising the LNCS books 12535 until 12540, constitutes the refereed proceedings of 28 out of the 45 workshops held at the 16th European Conference on Computer Vision, ECCV 2020. The conference was planned to take place in Glasgow, UK, during August 23-28, 2020, but changed to a virtual format due to the COVID-19 pandemic. The 249 full papers, 18 short papers, and 21 further contributions included in the workshop proceedings were carefully reviewed and selected from a total of 467 submissions. The papers deal with diverse computer vision topics. Part IV focusses on advances in image manipulation; assistive computer vision and robotics; and computer vision for UAVs. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Computer Vision – ECCV 2020 Workshops : Glasgow, UK, August 23–28, 2020, Proceedings, Part IV / [documento electrónico] / Bartoli, Adrien, ; Fusiello, Andrea, . - 1 ed. . - [s.l.] : Springer, 2020 . - XXVIII, 755 p. 287 ilustraciones.
ISBN : 978-3-030-66823-5
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: Visión por computador Aprendizaje automático Sistemas de reconocimiento de patrones Software de la aplicacion Computadoras Propósitos especiales Reconocimiento de patrones automatizado Aplicaciones informáticas y de sistemas de información Sistemas de propósito especial y basados ​​en aplicaciones Clasificación: 006.37 Resumen: El conjunto de 6 volúmenes, que comprende los libros LNCS 12535 hasta 12540, constituye las actas arbitradas de 28 de los 45 talleres celebrados en la 16.ª Conferencia Europea sobre Visión por Computador, ECCV 2020. La conferencia estaba prevista para tener lugar en Glasgow, Reino Unido. durante el 23 al 28 de agosto de 2020, pero cambió a formato virtual debido a la pandemia de COVID-19. Los 249 artÃculos completos, 18 artÃculos breves y 21 contribuciones adicionales incluidos en las actas del taller fueron cuidadosamente revisados ​​y seleccionados de un total de 467 presentaciones. Los artÃculos tratan diversos temas de visión por computadora. La Parte IV se centra en los avances en la manipulación de imágenes; visión asistida por computadora y robótica; y visión por computadora para vehÃculos aéreos no tripulados. Nota de contenido: W24 - Advances in Image Manipulation Workshop and Challenges -- DeepGIN: Deep Generative Inpainting Network for Extreme Image Inpainting -- AIM 2020 Challenge on Video Temporal Super-Resolution -- Enhanced Quadratic Video Interpolation -- AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results -- Deformable Kernel Convolutional Network for Video Extreme Super-Resolution -- Multi-Objective Reinforced Evolution in Mobile Neural Architecture Search -- Deep Plug-and-Play Video Super-Resolution -- Deep Adaptive Inference Networks for Single Image Super-Resolution -- Densely Connecting Depth Maps for Monocular Depth Estimation -- Single image dehazing for a variety of haze scenarios using back projected pyramid network -- A Benchmark for Inpainting of Clothing Images with Irregular Holes -- Learning to improve image compression without changing the standard decoder -- Conditional Adversarial Camera Model Anonymization -- Disrupting Deepfakes: Adversarial Attacks AgainstConditional Image Translation Networks and Facial Manipulation Systems -- Efficiently Detecting Plausible Locations for Object Placement using Masked Convolutions -- L2-Constrained RemNet for Camera Model Identification and Image Manipulation Detection -- W25 - Assistive Computer Vision and Robotics -- We Learn Better Road Pothole Detection: from Attention Aggregation to Adversarial Domain Adaptation -- Multi-channel Transformers for Multi-articulatory Sign Language Translation -- Synthetic Convolutional Features for Improved Semantic Segmentation -- Autonomous Car Chasing -- SignSynth: Data-Driven Sign Language Video Generation -- ALET (Automated Labeling of Equipment and Tools): A Dataset for Tool Detection and Human Worker Safety Detection -- DMD: A Large-Scale Multi-Modal Driver Monitoring Dataset for Attention and Alertness Analysis -- Exploiting Scene-specific Features for Object Goal Navigation -- Active Crowd Analysis for Pandemic Risk Mitigation for Blind or Visually Impaired Persons -- Enhancing Robot-Assisted WEEE Disassembly through Optimizing Automated Detection of Small Components -- Structural Plan of Indoor Scenes with Personalized Preferences -- Behavioural pattern discovery from collections of egocentric photo-streams -- Motion Prediction for First-person Vision Multi-object Tracking -- i-Walk Intelligent Assessment System: Activity, Mobility, Intention, Communication -- Adaptive Virtual Reality Exergame for Individualized Rehabilitation for Persons with Spinal Cord Injury -- W26 - Computer Vision for UAVs Workshop and Challenge -- ATG-PVD: Ticketing Parking Violations on A Drone -- Next-Best View Policy for 3D Reconstruction -- A Flow Base Bi-path Network for Cross-scene Video Crowd Understanding in Aerial View -- Multi-view Convolutional Network for Crowd Counting in Drone-captured Images -- PAS Tracker: Position-, Appearance- and Size-aware Multi-Object Tracking in Drone Videos -- Insights on Evaluation of Camera Re-localization Using Relative Pose Regression -- A Deep Learning Filter for Visual Drone Single Object Tracking -- Object Detection Using Clustering Algorithm Adaptive Searching Regions in Aerial Images -- Real-Time Embedded Computer Vision on UAVs: UAVision2020 workshop summary -- VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results -- VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Result -- VisDrone-MOT2020: The Vision Meets Drone Multiple Object Tracking Challenge Results -- VisDrone-SOT2020: The Vision Meets Drone Single Object Tracking Challenge Results. Tipo de medio : Computadora Summary : The 6-volume set, comprising the LNCS books 12535 until 12540, constitutes the refereed proceedings of 28 out of the 45 workshops held at the 16th European Conference on Computer Vision, ECCV 2020. The conference was planned to take place in Glasgow, UK, during August 23-28, 2020, but changed to a virtual format due to the COVID-19 pandemic. The 249 full papers, 18 short papers, and 21 further contributions included in the workshop proceedings were carefully reviewed and selected from a total of 467 submissions. The papers deal with diverse computer vision topics. Part IV focusses on advances in image manipulation; assistive computer vision and robotics; and computer vision for UAVs. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
