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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 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 Rafael E. Rivadeneira, Henry O. Velesaca, Angel D. Sappa
Title Object Detection in Very Low-Resolution Thermal Images through a Guided-Based Super-Resolution Approach Type Conference Article
Year 2023 Publication 17th International Conference On Signal Image Technology & Internet Based System Abbreviated Journal
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Call Number cidis @ cidis @ Serial 224
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Author Patricia L. Suarez, Dario Carpio, Angel Sappa
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 Patricia L. Suarez, Dario Carpio, Angel Sappa
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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Call Number cidis @ cidis @ Serial 226
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Author Armin Mehri, Parichehr Behjati, Dario Carpio, and Angel D. Sappa
Title SRFormer: Efficient Yet Powerful Transformer Network For Single Image Super Resolution Type Journal Article
Year 2023 Publication IEEE access Abbreviated Journal
Volume Vol. 11 Issue Pages 121457 - 121469
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ISSN 21693536 ISBN Medium
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Notes Approved no
Call Number cidis @ cidis @ Serial 227
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Author Sara Nieto, Evelyn Mejia, Ricardo Villacis, Fernanda Calderon, Hector Villegas, Jonathan Paillacho and Miguel Realpe
Title A Practical Study on Banana (Musa spp.) Plant Counting and Coverage Percentage Using Remote Sensing and Deep Learning Type Conference Article
Year 2023 Publication International Conference on Geospatial Information Sciences, iGISc 2023 Abbreviated Journal
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Call Number cidis @ cidis @ Serial 228
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Author Xavier Soria, Yachuan Li, Mohammad Rouhani & Angel D. Sappa
Title Tiny and Efficient Model for the Edge Detection Generalization Type Conference Article
Year 2023 Publication Workshop on Resource Efficient Deep Learning for Computer Vision – International Conference on Computer Vision ICCV 2023 Abbreviated Journal
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Call Number cidis @ cidis @ Serial 229
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Author Rubio Abel; Agila Wilton; González Leandro; Aviles Jonathan
Title A Numerical Model for the Transport of Reactants in Proton Exchange Fuel Cells Type Conference Article
Year 2023 Publication 12th IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2023 Oshawa 29 August – 1 September 2023 Abbreviated Journal
Volume Issue Pages 273 - 278
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ISSN ISBN 979-835033793-8 Medium
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Notes Approved no
Call Number cidis @ cidis @ Serial 230
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Author Suarez Patricia; Carpio Dario; Sappa Angel D.
Title A Deep Learning Based Approach for Synthesizing Realistic Depth Maps Type Journal Article
Year Publication Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics 22nd International Conference on Image Analysis and Processing, ICIAP 2023 Udine 11 – 15 September 2023 Abbreviated Journal
Volume 14234 LNCS Issue Pages 369 - 380
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ISSN 03029743 ISBN 978-303143152-4 Medium
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Notes Approved no
Call Number cidis @ cidis @ Serial 231
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Author Miguel Oliveira; Vítor Santos; Angel D. Sappa; Paulo Dias; A. Paulo Moreira
Title Incremental Texture Mapping for Autonomous Driving Type Journal Article
Year 2016 Publication Robotics and Autonomous Systems Journal Abbreviated Journal
Volume Vol. 84 Issue Pages pp. 113-128
Keywords Scene reconstruction, Autonomous driving, Texture mapping
Abstract (up) Autonomous vehicles have a large number of on-board sensors, not only for providing coverage all around the vehicle, but also to ensure multi-modality in the observation of the scene. Because of this, it is not trivial to come up with a single, unique representation that feeds from the data given by all these sensors. We propose an algorithm which is capable of mapping texture collected from vision based sensors onto a geometric description of the scenario constructed from data provided by 3D sensors. The algorithm uses a constrained Delaunay triangulation to produce a mesh which is updated using a specially devised sequence of operations. These enforce a partial configuration of the mesh that avoids bad quality textures and ensures that there are no gaps in the texture. Results show that this algorithm is capable of producing fine quality textures.
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Language English Summary Language English Original Title
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Call Number cidis @ cidis @ Serial 50
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