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Author Henry O. Velesaca, Patricia L. Suarez, Dario Carpio, and Angel D. Sappa
Title Synthesized Image Datasets: Towards an Annotation-Free Instance Segmentation Strategy Type Conference Article
Year 2021 Publication (up) 16 International Symposium on Visual Computing. Octubre 4-6, 2021. Lecture Notes in Computer Science Abbreviated Journal
Volume 13017 Issue Pages 131-143
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Call Number cidis @ cidis @ Serial 163
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Author Patricia L. Suárez, Dario Carpio, and Angel Sappa
Title Non-Homogeneous Haze Removal through a Multiple Attention Module Architecture. Type Conference Article
Year 2021 Publication (up) 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 Jacome-Galarza L.-R
Title Crop yield prediction utilizing multimodal deep learning Type Conference Article
Year 2021 Publication (up) 16th Iberian Conference on Information Systems and Technologies, CISTI 2021, junio 23 – 26, 2021 Abbreviated Journal
Volume Issue Pages
Keywords Agricultura de precisión; sensores remotos; aprendizaje profundo multimodal; IoT; agentes inteligentes; computación aplicada.
Abstract La agricultura de precisión es una práctica vital para

mejorar la producción de cosechas. El presente trabajo tiene

como objetivo desarrollar un modelo multimodal de aprendizaje

profundo que es capaz de producir un mapa de salud de

cosechas. El modelo recibe como entradas imágenes multiespectrales

y datos de sensores de campo (humedad,

temperatura, estado del suelo, etc.) y crea un mapa de

rendimiento de la cosecha. La utilización de datos multimodales

tiene como finalidad extraer patrones ocultos del estado de salud

de las cosechas y de esta manera obtener mejores resultados que

los obtenidos mediante los índices de vegetación.
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Language Español Summary Language Original Title
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Call Number cidis @ cidis @ Serial 150
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Author Luis Jacome-Galarza, Monica Villavicencio-Cabezas, Miguel Realpe-Robalino, Jose Benavides-Maldonado
Title Software Engineering and Distributed Computing in image processing intelligent systems: a systematic literature review. Type Conference Article
Year 2021 Publication (up) 19th LACCEI International Multi-Conference for Engineering, Education, and Technology Abbreviated Journal
Volume Issue Pages
Keywords processing, software engineering, deep learning, intelligent vision systems, cloud computing.
Abstract Deep learning is experiencing an upward technology trend that is revolutionizing intelligent systems in several domains, such as image and speech recognition, machine translation, social network filtering, and the like. By reviewing a total of 80 studies reported from 2016 to 2020, the present article evaluates the application of software engineering to the field

of intelligent image processing systems, it also offers insights about aspects related to distributed computing for this type of systems. Results indicate that several topics of software engineering are mostly applied when academics are involved in developing projects associated to this kind of intelligent systems. The findings provide evidences that Apache Spark is the most

utilized distributed computing framework for image processing. In addition, Tensorflow is a popular framework used to build convolutional neural networks, which are the prevailing deep learning algorithms used in intelligent image processing systems.

Also, among big cloud providers, Amazon Web Services is the preferred computing platform across the industry sectors, followed by Google cloud.
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Call Number cidis @ cidis @ Serial 154
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Author Mehri, A, Ardakani, P.B., Sappa, A.D.
Title LiNet: A Lightweight Network for Image Super Resolution Type Conference Article
Year 2021 Publication (up) 25th International Conference on Pattern Recognition (ICPR), enero 10-15, 2021 Abbreviated Journal
Volume Issue Pages 7196-7202
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Call Number cidis @ cidis @ Serial 149
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Author Pereira J., Mora M. & W. Agila
Title Qualitative Model to Maximize Shrimp Growth at Low Cost Type Journal Article
Year 2021 Publication (up) 5th Ecuador Technical Chapters Meeting (ETCM 2021), Octubre 12 – 15 Abbreviated Journal
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Call Number cidis @ cidis @ Serial 167
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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
Year 2021 Publication (up) 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 Patricia L. Suárez, Angel D. Sappa, Boris X. Vintimilla
Title Cycle generative adversarial network: towards a low-cost vegetation index estimation Type Conference Article
Year 2021 Publication (up) 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 Velesaca, H.O., Suárez, P. L., Mira, R., & Sappa, A.D.
Title Computer Vision based Food Grain Classification: a Comprehensive Survey Type Journal Article
Year 2021 Publication (up) In Computers and Electronics in Agriculture Journal. (Article number 106287) Abbreviated Journal
Volume Vol. 187 Issue Pages
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Call Number cidis @ cidis @ Serial 159
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Author Suárez P.
Title Processing and Representation of Multispectral Images Using Deep Learning Techniques Type Magazine Article
Year 2021 Publication (up) In Electronic Letters on Computer Vision and Image Analysis Abbreviated Journal
Volume Vol. 19 Issue Issue 2 Pages pp. 5-8
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Corporate Author Ph.D. Angel Sappa, Director & Ph.D. Boris Vintimilla, Codirector Thesis Master's thesis
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Call Number cidis @ cidis @ Serial 122
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