| Records |
Author  |
Patricia L. Suarez, Dario Carpio, Angel Sappa |
| Title |
Boosting Guided Super-Resolution Performance with Synthesized Images |
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Conference Article |
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2023 |
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17th International Conference On Signal Image Technology & Internet Based Systems |
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no |
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cidis @ cidis @ |
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225 |
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| Author |
Patricia L. Suarez, Dario Carpio, Angel Sappa |
| Title |
Depth Map Estimation from a Single 2D Image |
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Conference Article |
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2023 |
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17th International Conference On Signal Image Technology & Internet Based Systems |
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no |
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cidis @ cidis @ |
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226 |
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Patricia L. Suarez, Dario Carpio, Angel D. Sappa and Henry O. Velesaca |
| Title |
Transformer based Image Dehazing. |
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Conference Article |
| Year |
2022 |
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16TH International Conference On Signal Image Technology & Internet Based Systems SITIS 2022. |
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148-154 |
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cidis @ cidis @ |
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195 |
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Patricia L. Suárez, Dario Carpio, and Angel Sappa |
| Title |
Non-Homogeneous Haze Removal through a Multiple Attention Module Architecture. |
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Conference Article |
| Year |
2021 |
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16 International Symposium on Visual Computing. Octubre 4-6, 2021. Lecture Notes in Computer Science |
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13018 |
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178-190 |
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cidis @ cidis @ |
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162 |
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Patricia L. Suárez, Angel D. Sappa, Boris X. Vintimilla |
| Title |
Cycle generative adversarial network: towards a low-cost vegetation index estimation |
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Conference Article |
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2021 |
Publication |
IEEE International Conference on Image Processing (ICIP 2021) |
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2021-September |
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2783-2787 |
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CyclicGAN, NDVI, near infrared spectra, instance normalization. |
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This paper presents a novel unsupervised approach to estimate the Normalized Difference Vegetation Index (NDVI).The NDVI is obtained as the ratio between information from the visible and near infrared spectral bands; in the current work, the NDVI is estimated just from an image of the visible spectrum through a Cyclic Generative Adversarial Network (CyclicGAN). This unsupervised architecture learns to estimate the NDVI index by means of an image translation between the red channel of a given RGB image and the NDVI unpaired index’s image. The translation is obtained by means of a ResNET architecture and a multiple loss function. Experimental results obtained with this unsupervised scheme show the validity of the implemented model. Additionally, comparisons with the state of the art approaches are provided showing improvements with the proposed approach. |
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no |
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cidis @ cidis @ |
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164 |
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| Author |
Patricia L. Suárez, Angel D. Sappa and Boris X. Vintimilla |
| Title |
Deep learning-based vegetation index estimation |
Type |
Book Chapter |
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2021 |
Publication |
Generative Adversarial Networks for Image-to-Image Translation Book. |
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Chapter 9 |
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Issue 2 |
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205-232 |
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no |
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cidis @ cidis @ |
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137 |
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| Author |
Patricia L. Suarez |
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Procesamiento y representación de imágenes multiespectrales usando técnicas de aprendizaje profundo (Ph.D. Angel Sappa, Director & Ph.D. Boris Vintimilla, Codirector.). Ph.D. thesis. |
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Book Chapter |
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2020 |
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Ediciones FIEC-ESPOL. |
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Ph.D. Angel Sappa, Director & Ph.D. Boris Vintimilla, Codirector. |
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Español |
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no |
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cidis @ cidis @ |
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144 |
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Pabelco Zambrano, Fernanda Calderon, Héctor Villegas, Jonathan Paillacho, Doménica Pazmiño, Miguel Realpe |
| Title |
UAV Remote Sensing applications and current trends in crop monitoring and diagnostics: A Systematic Literature Review |
Type |
Conference Article |
| Year |
2023 |
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IEEE 13th International Conference on Pattern Recognition Systems (ICPRS) 2023, julio 4-7 |
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979-835033337-4 |
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no |
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cidis @ cidis @ |
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214 |
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P. Ricaurte; C. Chilán; C. A. Aguilera-Carrasco; B. X. Vintimilla; Angel D. Sappa |
| Title |
Performance Evaluation of Feature Point Descriptors in the Infrared Domain |
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Conference Article |
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2014 |
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Computer Vision Theory and Applications (VISAPP), 2014 International Conference on, Lisbon, Portugal, 2013 |
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1 |
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545 -550 |
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Infrared Imaging, Feature Point Descriptors |
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This paper presents a comparative evaluation of classical feature point descriptors when they are used in the long-wave infrared spectral band. Robustness to changes in rotation, scaling, blur, and additive noise are evaluated using a state of the art framework. Statistical results using an outdoor image data set are presented together with a discussion about the differences with respect to the results obtained when images from the visible spectrum are considered. |
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IEEE |
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English |
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English |
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2014 International Conference on Computer Vision Theory and Applications (VISAPP) |
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no |
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cidis @ cidis @ |
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26 |
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| Author |
Ortiz J.; Londono J.; Novillo F.; Ampuno A.; Chávez M. |
| Title |
Determinación de Invariantes en Grandes Centros de Datos basados en Topología Fat-Tree |
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Journal Article |
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2015 |
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Revista Politécnica |
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Vol. 35 |
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pp. 91-96 |
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Invariantes de red, topologías, Fat-tree, simulación, emulación |
| Abstract |
Durante los últimos años ha existido un fuerte incremento en el acceso a internet, causando que los centros de datos ( DC) deban adaptar dinámicamente su infraestructura de red de cara a enfrentar posibles problemas de congestión, la cual no siempre se da de forma oportuna. Ante esto, nuevas topologías de red se han propuesto en los últimos años, como una forma de brindar mejores condiciones para el manejo de tráfico interno, sin embargo es común que para el estudio de estas mejoras, se necesite recrear el comportamiento de un verdadero DC en modelos de simulación/emulación. Por lo tanto se vuelve esencial validar dichos modelos, de cara a obtener resultados coherentes con la realidad. Esta validación es posible por medio de la identificación de ciertas propiedades que se deducen a partir de las variables y los parámetros que describen la red, y que se mantienen en las topologías de los DC para diversos escenarios y/o configuraciones. Estas propiedades, conocidas como invariantes, son una expresión del funcionamiento de la red en ambientes reales, como por ejemplo la ruta más larga entre dos nodos o el número de enlaces mínimo que deben fallar antes de una pérdida de conectividad en alguno de los nodos de la red. En el presente trabajo se realiza la identificación, formulación y comprobación de dos invariantes para la topología Fat-Tree, utilizando como software emulador a mininet. Las conclusiones muestran resultados concordantes entre lo analítico y lo práctico. |
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Escuela Politécnica Nacional |
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Español |
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Español |
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cidis @ cidis @ |
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32 |
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