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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  |
Conference on Computer Vision and Pattern Recognition Workshops, (CVPRW 2022), junio 19-24. | Abbreviated Journal | CONFERENCE |
| Volume | 2022-June | Issue | Pages | 417-425 | |
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| 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 |
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 |
Ediciones FIEC-ESPOL | Abbreviated Journal | |
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| Corporate Author | Ph.D. Angel Sappa, Director. | Thesis | Master's thesis | ||
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| 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 |
Ediciones FIEC-ESPOL | Abbreviated Journal | |
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| Corporate Author | Ph.D. Angel Sappa, Director de tesis & Ph.D. Boris Vintimilla, Codirector | Thesis | Master's thesis | ||
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| 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 |
Ediciones FIEC-ESPOL | Abbreviated Journal | |
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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 |
Ediciones FIEC-ESPOL | Abbreviated Journal | |
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| Notes | Approved | no | |||
| 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 |
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 | 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 |
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 |
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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| 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 |
Electronics Letters | Abbreviated Journal | |
| Volume | Vol. 56 | Issue | 23, 12 November 2020 | Pages | pp. 1262-1264 |
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| 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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| Language | English | Summary Language | Original Title | ||
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| Notes | Approved | no | |||
| Call Number | cidis @ cidis @ | Serial | 139 | ||
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