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Author (down) Patricia L. Suarez; Angel D. Sappa; Boris X. Vintimilla pdf  openurl
  Title Image patch similarity through a meta-learning metric based approach Type Conference Article
  Year 2019 Publication 15th International Conference on Signal Image Technology & Internet based Systems (SITIS 2019); Sorrento, Italia Abbreviated Journal  
  Volume Issue Pages 511-517  
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  Abstract Comparing images regions are one of the core methods used on computer vision for tasks like image classification, scene understanding, object detection and recognition. Hence, this paper proposes a novel approach to determine similarity of image regions (patches), in order to obtain the best representation of image patches. This problem has been studied by many researchers presenting different approaches, however, the ability to find the better criteria to measure the similarity on image regions are still a challenge. The present work tackles this problem using a few-shot metric based meta-learning framework able to compare image regions and determining a similarity measure to decide if there is similarity between the compared patches. Our model is training end-to-end from scratch. Experimental results

have shown that the proposed approach effectively estimates the similarity of the patches and, comparing it with the state of the art approaches, shows better results.
 
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  Call Number gtsi @ user @ Serial 115  
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Author (down) Patricia L. Suarez, Dario Carpio, Angel Sappa openurl 
  Title Boosting Guided Super-Resolution Performance with Synthesized Images Type Conference Article
  Year 2023 Publication 17th International Conference On Signal Image Technology & Internet Based Systems Abbreviated Journal  
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  Call Number cidis @ cidis @ Serial 225  
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Author (down) Patricia L. Suarez, Dario Carpio, Angel Sappa openurl 
  Title Depth Map Estimation from a Single 2D Image Type Conference Article
  Year 2023 Publication 17th International Conference On Signal Image Technology & Internet Based Systems Abbreviated Journal  
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  Notes Approved no  
  Call Number cidis @ cidis @ Serial 226  
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Author (down) Patricia L. Suarez, Dario Carpio, Angel D. Sappa and Henry O. Velesaca url  openurl
  Title Transformer based Image Dehazing. Type Conference Article
  Year 2022 Publication 16TH International Conference On Signal Image Technology & Internet Based Systems SITIS 2022. Abbreviated Journal  
  Volume Issue Pages 148-154  
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  Notes Approved no  
  Call Number cidis @ cidis @ Serial 195  
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Author (down) Patricia L. Suárez, Dario Carpio, and Angel Sappa url  openurl
  Title Non-Homogeneous Haze Removal through a Multiple Attention Module Architecture. Type Conference Article
  Year 2021 Publication 16 International Symposium on Visual Computing. Octubre 4-6, 2021. Lecture Notes in Computer Science Abbreviated Journal  
  Volume 13018 Issue Pages 178-190  
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  Call Number cidis @ cidis @ Serial 162  
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Author (down) Patricia L. Suárez, Angel D. Sappa, Boris X. Vintimilla pdf  openurl
  Title Cycle generative adversarial network: towards a low-cost vegetation index estimation Type Conference Article
  Year 2021 Publication IEEE International Conference on Image Processing (ICIP 2021) Abbreviated Journal  
  Volume 2021-September Issue Pages 2783-2787  
  Keywords CyclicGAN, NDVI, near infrared spectra, instance normalization.  
  Abstract 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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  Call Number cidis @ cidis @ Serial 164  
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Author (down) Patricia L. Suárez, Angel D. Sappa and Boris X. Vintimilla url  openurl
  Title Deep learning-based vegetation index estimation Type Book Chapter
  Year 2021 Publication Generative Adversarial Networks for Image-to-Image Translation Book. Abbreviated Journal  
  Volume Chapter 9 Issue Issue 2 Pages 205-232  
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  Call Number cidis @ cidis @ Serial 137  
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Author (down) Patricia L. Suarez pdf  openurl
  Title Procesamiento y representación de imágenes multiespectrales usando técnicas de aprendizaje profundo (Ph.D. Angel Sappa, Director & Ph.D. Boris Vintimilla, Codirector.). Ph.D. thesis. Type Book Chapter
  Year 2020 Publication Ediciones FIEC-ESPOL. Abbreviated Journal  
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  Corporate Author Ph.D. Angel Sappa, Director & Ph.D. Boris Vintimilla, Codirector. Thesis  
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  Language Español Summary Language Original Title  
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  Notes Approved no  
  Call Number cidis @ cidis @ Serial 144  
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Author (down) Pabelco Zambrano, Fernanda Calderon, Héctor Villegas, Jonathan Paillacho, Doménica Pazmiño, Miguel Realpe pdf  doi
isbn  openurl
  Title UAV Remote Sensing applications and current trends in crop monitoring and diagnostics: A Systematic Literature Review Type Conference Article
  Year 2023 Publication IEEE 13th International Conference on Pattern Recognition Systems (ICPRS) 2023, julio 4-7 Abbreviated Journal  
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  ISSN ISBN 979-835033337-4 Medium  
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  Notes Approved no  
  Call Number cidis @ cidis @ Serial 214  
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Author (down) P. Ricaurte; C. Chilán; C. A. Aguilera-Carrasco; B. X. Vintimilla; Angel D. Sappa pdf  url
openurl 
  Title Performance Evaluation of Feature Point Descriptors in the Infrared Domain Type Conference Article
  Year 2014 Publication Computer Vision Theory and Applications (VISAPP), 2014 International Conference on, Lisbon, Portugal, 2013 Abbreviated Journal  
  Volume 1 Issue Pages 545 -550  
  Keywords Infrared Imaging, Feature Point Descriptors  
  Abstract 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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  Publisher IEEE Place of Publication Editor  
  Language English Summary Language English Original Title  
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  Area Expedition Conference 2014 International Conference on Computer Vision Theory and Applications (VISAPP)  
  Notes Approved no  
  Call Number cidis @ cidis @ Serial 26  
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