Título :	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.
Palabras clave:	Visión por computador
Índice Dewey:	006.37 Visión artificial
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 artículos completos, 18 artículos breves y 21 contribuciones adicionales incluidos en las actas del taller fueron cuidadosamente revisados ​​y seleccionados de un total de 467 presentaciones. Los artículos tratan diversos temas de visión por computadora. La Parte III incluye el Taller y Desafíos 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.
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

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.

Palabras clave:	Visión por computador
Índice Dewey:	006.37 Visión artificial
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 artículos completos, 18 artículos breves y 21 contribuciones adicionales incluidos en las actas del taller fueron cuidadosamente revisados ​​y seleccionados de un total de 467 presentaciones. Los artículos tratan diversos temas de visión por computadora. La Parte III incluye el Taller y Desafíos 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.
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