| Records |
| 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 |
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| Volume |
Vol. 9 |
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Pages |
pp. 89-99 |
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25897217 |
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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 |
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Conference Article |
| Year |
2023 |
Publication |
17th International Conference On Signal Image Technology & Internet Based System |
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no |
| Call Number |
cidis @ cidis @ |
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224 |
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| Author |
Patricia L. Suarez, Dario Carpio, Angel Sappa |
| Title |
Boosting Guided Super-Resolution Performance with Synthesized Images |
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Conference Article |
| Year |
2023 |
Publication |
17th International Conference On Signal Image Technology & Internet Based Systems |
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no |
| 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 |
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no |
| 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 |
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Journal Article |
| Year |
2023 |
Publication |
IEEE access |
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| Volume |
Vol. 11 |
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Pages |
121457 - 121469 |
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| ISSN |
21693536 |
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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 |
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Approved |
no |
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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 |
Proceedings – 2023 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2023 |
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1356 - 1365 |
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Approved |
no |
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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 |
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Pages |
273 - 278 |
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979-835033793-8 |
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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 |
Conference Article |
| Year |
2023 |
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 |
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| Volume |
14234 LNCS |
Issue |
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Pages |
369 - 380 |
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| ISSN |
03029743 |
ISBN |
978-303143152-4 |
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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 |
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| Volume |
Vol. 84 |
Issue |
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Pages |
pp. 113-128 |
| Keywords |
Scene reconstruction, Autonomous driving, Texture mapping |
| Abstract |
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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English |
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English |
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Approved |
no |
| Call Number |
cidis @ cidis @ |
Serial |
50 |
| Permanent link to this record |
