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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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Notes Approved no
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
Publisher Place of Publication Editor
Language Español Summary Language Original Title
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Notes Approved yes
Call Number cidis @ cidis @ Serial 122
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Author Patricia Suarez & Angel D. Sappa
Title Haze-Free Imaging through Haze-Aware Transformer Adaptations Type Conference Article
Year 2024 Publication (up) In Fourth International Conference on Innovations in Computational Intelligence and Computer Vision (ICICV 2024) Abbreviated Journal
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Notes Approved no
Call Number cidis @ cidis @ Serial 236
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Author Rafael Rivadeneira, Henry Velesaca & Angel Sappa
Title Cross-Spectral Image Registration: a Comparative Study and a New Benchmark Dataset Type Conference Article
Year 2024 Publication (up) In Fourth International Conference on Innovations in Computational Intelligence and Computer Vision (ICICV 2024) Abbreviated Journal
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Notes Approved no
Call Number cidis @ cidis @ Serial 237
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Author Henry Velesaca, Boris Vintimilla, Jorge Vulgarin, Coen Antens & Alberto Rubio Pérez
Title Deep Learning-based Multimodal Sensing Framework for AntiSpoofing Systems Type Journal Article
Year 2024 Publication (up) In Fourth International Conference on Innovations in Computational Intelligence and Computer Vision (ICICV 2024) Abbreviated Journal
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Notes Approved no
Call Number cidis @ cidis @ Serial 238
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Author Mehri, A, Ardakani, P.B., Sappa, A.D.
Title MPRNet: Multi-Path Residual Network for Lightweight Image Super Resolution. Type Conference Article
Year 2021 Publication (up) In IEEE Winter Conference on Applications of Computer Vision WACV 2021, enero 5-9, 2021 Abbreviated Journal
Volume Issue Pages 2703-2712
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Notes Approved no
Call Number cidis @ cidis @ Serial 148
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Author Rivadeneira R.E., Sappa A.D., Vintimilla B.X., Nathan S., Kansal P., Mehri A et al.
Title Thermal Image Super-Resolution Challenge – PBVS 2021. Type Conference Article
Year 2021 Publication (up) In IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2021., junio 19 – 25, 2021 Abbreviated Journal
Volume Issue Pages 4354-4362
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Notes Approved no
Call Number cidis @ cidis @ Serial 151
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Author Charco, J.L., Sappa, A.D., Vintimilla, B.X., Velesaca, H.O.
Title Camera pose estimation in multi-view environments:from virtual scenarios to the real world Type Journal Article
Year 2021 Publication (up) In Image and Vision Computing Journal. (Article number 104182) Abbreviated Journal
Volume Vol. 110 Issue Pages
Keywords Relative camera pose estimation, Domain adaptation, Siamese architecture, Synthetic data, Multi-view environments
Abstract This paper presents a domain adaptation strategy to efficiently train network architectures for estimating the relative camera pose in multi-view scenarios. The network architectures are fed by a pair of simultaneously acquired

images, hence in order to improve the accuracy of the solutions, and due to the lack of large datasets with pairs of

overlapped images, a domain adaptation strategy is proposed. The domain adaptation strategy consists on transferring the knowledge learned from synthetic images to real-world scenarios. For this, the networks are firstly

trained using pairs of synthetic images, which are captured at the same time by a pair of cameras in a virtual environment; and then, the learned weights of the networks are transferred to the real-world case, where the networks are retrained with a few real images. Different virtual 3D scenarios are generated to evaluate the

relationship between the accuracy on the result and the similarity between virtual and real scenarios—similarity

on both geometry of the objects contained in the scene as well as relative pose between camera and objects in the

scene. Experimental results and comparisons are provided showing that the accuracy of all the evaluated networks for estimating the camera pose improves when the proposed domain adaptation strategy is used,

highlighting the importance on the similarity between virtual-real scenarios.
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Language English Summary Language English Original Title
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Notes Approved no
Call Number cidis @ cidis @ Serial 147
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Author Patricia Súarez, Henry Velesaca, Dario Carpio & Angel Sappa
Title Corn Kernel Classification From Few Training Samples Type Journal Article
Year 2023 Publication (up) In journal Artificial Intelligence in Agriculture Abbreviated Journal
Volume Vol. 9 Issue Pages pp. 89-99
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ISSN 25897217 ISBN Medium
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Notes Approved no
Call Number cidis @ cidis @ Serial 223
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Author Santos, V., Sappa, A.D., Oliveira, M. & de la Escalera, A.
Title Editorial: Special Issue on Autonomous Driving and Driver Assistance Systems – Some Main Trends Type Journal Article
Year 2021 Publication (up) In Journal: Robotics and Autonomous Systems. (Article number 103832) Abbreviated Journal
Volume Vol. 144 Issue Pages
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Notes Approved no
Call Number cidis @ cidis @ Serial 158
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