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Author Low S., Inkawhich N., Nina O., Sappa A. and Blasch E.
Title Multi-modal Aerial View Object Classification Challenge Results-PBVS 2022. Type Conference Article
Year 2022 Publication (up) Conference on Computer Vision and Pattern Recognition Workshops, (CVPRW 2022), junio 19-24. Abbreviated Journal CONFERENCE
Volume 2022-June Issue Pages 417-425
Keywords
Abstract This paper details the results and main findings of the

second iteration of the Multi-modal Aerial View Object

Classification (MAVOC) challenge. This year’s MAVOC

challenge is the second iteration. The primary goal of

both MAVOC challenges is to inspire research into methods for building recognition models that utilize both synthetic aperture radar (SAR) and electro-optical (EO) input

modalities. Teams are encouraged/challenged to develop

multi-modal approaches that incorporate complementary

information from both domains. While the 2021 challenge

showed a proof of concept that both modalities could be

used together, the 2022 challenge focuses on the detailed

multi-modal models. Using the same UNIfied COincident

Optical and Radar for recognitioN (UNICORN) dataset and

competition format that was used in 2021. Specifically, the

challenge focuses on two techniques, (1) SAR classification

and (2) SAR + EO classification. The bulk of this document is dedicated to discussing the top performing methods

and describing their performance on our blind test set. Notably, all of the top ten teams outperform our baseline. For

SAR classification, the top team showed a 129% improvement over our baseline and an 8% average improvement

from the 2021 winner. The top team for SAR + EO classification shows a 165% improvement with a 32% average

improvement over 2021.
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Call Number cidis @ cidis @ Serial 177
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Author Roberto Jacome Galarza.
Title Multimodal deep learning for crop yield prediction. Type Conference Article
Year 2022 Publication (up) Doctoral Symposium on Information and Communication Technologies –DSICT 2022. Octubre 12-14. Abbreviated Journal
Volume 1647 Issue Communicationsin Computer and Infor Pages 106-117
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Call Number cidis @ cidis @ Serial 193
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Author Stalin Francis Quinde
Title Un nuevo modelo BM3D-RNCA para mejorar la estimación de la imagen libre de ruido producida por el método BM3D. (Ph.D. Angel Sappa, Director.). M.Sc. thesis Type Book Chapter
Year 2019 Publication (up) Ediciones FIEC-ESPOL Abbreviated Journal
Volume Issue Pages
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Abstract
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Corporate Author Ph.D. Angel Sappa, Director. Thesis Master's thesis
Publisher Place of Publication Editor
Language Español Summary Language Original Title
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Notes Approved no
Call Number gtsi @ user @ Serial 117
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Author Shendry Rosero Vásquez
Title Reconocimiento facial: técnicas tradicionales y técnicas de aprendizaje profundo, un análisis. (Ph.D. Angel Sappa, Director & Ph.D. Boris Vintimilla, Codirector.). M.Sc. thesis Type Book Chapter
Year 2019 Publication (up) Ediciones FIEC-ESPOL Abbreviated Journal
Volume Issue Pages
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Abstract
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Corporate Author Ph.D. Angel Sappa, Director de tesis & Ph.D. Boris Vintimilla, Codirector Thesis Master's thesis
Publisher Place of Publication Editor
Language Español Summary Language Original Title
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Notes Approved yes
Call Number gtsi @ user @ Serial 114
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Author Rafael Eduardo Rivadeneira Campodónico
Title Thermal Image Super-Resolution using Deep Learning Techniques (Ph. D. Angel Sappa, Director & Ph. D. Boris Vintimilla, Codirector.). Ph. D. thesis. Type Book Chapter
Year 2023 Publication (up) Ediciones FIEC-ESPOL Abbreviated Journal
Volume Issue Pages
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Call Number cidis @ cidis @ Serial 262
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Author Jorge Charco Aguirre
Title Human Pose Estimation based in Deep Learning Techniques from Multi-view Environments Type Book Chapter
Year 2023 Publication (up) Ediciones FIEC-ESPOL Abbreviated Journal
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Call Number cidis @ cidis @ Serial 263
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Author Patricia L. Suarez
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 (up) Ediciones FIEC-ESPOL. Abbreviated Journal
Volume Issue Pages
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Abstract
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Corporate Author Ph.D. Angel Sappa, Director & Ph.D. Boris Vintimilla, Codirector. Thesis
Publisher Place of Publication Editor
Language Español Summary Language Original Title
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Notes Approved no
Call Number cidis @ cidis @ Serial 144
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Author Merchan, J., Calderon, F., Broncano, E. Nicola, Daniella, Alava, Eduardo
Title Assessing Maize (Zea Mays) Biomass at Different Growth Stages: A UAV-Based Multispectral Study on Nitrogen Effects Type Conference Article
Year 2024 Publication (up) Effects Lecture Notes in Geoinformation and Cartography: 3rd International Conference on Geospatial Information Sciences, iGISc 2023 Ciudad de México 14-17 November 2023 Abbreviated Journal
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Call Number cidis @ cidis @ Serial 260
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Author Morocho-Cayamcela, M.E.
Title Increasing the Segmentation Accuracy of Aerial Images with Dilated Spatial Pyramid Pooling Type Journal Article
Year 2020 Publication (up) Electronic Letters on Computer Vision and Image Analysis (ELCVIA) Abbreviated Journal
Volume Vol. 19 Issue Issue 2 Pages pp. 17-21
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Notes Approved no
Call Number cidis @ cidis @ Serial 140
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Author Morocho-Cayamcela, M.E. & W. Lim
Title Lateral confinement of high-impedance surface-waves through reinforcement learning Type Journal Article
Year 2020 Publication (up) Electronics Letters Abbreviated Journal
Volume Vol. 56 Issue 23, 12 November 2020 Pages pp. 1262-1264
Keywords
Abstract The authors present a model-free policy-based reinforcement learning

model that introduces perturbations on the pattern of a metasurface.

The objective is to learn a policy that changes the size of the

patches, and therefore the impedance in the sides of an artificially structured

material. The proposed iterative model assigns the highest reward

when the patch sizes allow the transmission along a constrained path

and penalties when the patch sizes make the surface wave radiate to

the sides of the metamaterial. After convergence, the proposed

model learns an optimal patch pattern that achieves lateral confinement

along the metasurface. Simulation results show that the proposed

learned-pattern can effectively guide the electromagnetic wave

through a metasurface, maintaining its instantaneous eigenstate when

the homogeneity is perturbed. Moreover, the pattern learned to

prevent reflections by changing the patch sizes adiabatically. The

reflection coefficient S1, 2 shows that most of the power gets transferred

from the source to the destination with the proposed design.
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Publisher Place of Publication Editor
Language English Summary Language Original Title
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Notes Approved no
Call Number cidis @ cidis @ Serial 139
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