| Records |
| 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 @ |
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225 |
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| Author |
Patricia L. Suarez, Dario Carpio, Angel Sappa |
| Title |
Depth Map Estimation from a Single 2D Image |
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Conference Article |
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2023 |
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17th International Conference On Signal Image Technology & Internet Based Systems |
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no |
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cidis @ cidis @ |
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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 |
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IEEE access |
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Vol. 11 |
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121457 - 121469 |
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21693536 |
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no |
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cidis @ cidis @ |
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227 |
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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 |
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2023 |
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International Conference on Geospatial Information Sciences, iGISc 2023 |
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cidis @ cidis @ |
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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 |
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Conference Article |
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2023 |
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Proceedings – 2023 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2023 |
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1356 - 1365 |
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no |
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cidis @ cidis @ |
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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 |
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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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273 - 278 |
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979-835033793-8 |
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no |
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cidis @ cidis @ |
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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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14234 LNCS |
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369 - 380 |
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03029743 |
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978-303143152-4 |
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no |
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cidis @ cidis @ |
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231 |
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| Author |
Patricia L. Suarez; Angel D. Sappa; Boris X. Vintimilla |
| Title |
Adaptive Harris Corners Detector Evaluated with Cross-Spectral Images |
Type |
Conference Article |
| Year |
2018 |
Publication |
International Conference on Information Technology & Systems (ICITS 2018). ICITS 2018. Advances in Intelligent Systems and Computing |
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| Volume |
721 |
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| Abstract |
This paper proposes a novel approach to use cross-spectral
images to achieve a better performance with the proposed Adaptive Harris
corner detector comparing its obtained results with those achieved
with images of the visible spectra. The images of urban, field, old-building
and country category were used for the experiments, given the variety of
the textures present in these images, with which the complexity of the
proposal is much more challenging for its verification. It is a new scope,
which means improving the detection of characteristic points using crossspectral
images (NIR, G, B) and applying pruning techniques, the combination
of channels for this fusion is the one that generates the largest
variance based on the intensity of the merged pixels, therefore, it is that
which maximizes the entropy in the resulting Cross-spectral images.
Harris is one of the most widely used corner detection algorithm, so
any improvement in its efficiency is an important contribution in the
field of computer vision. The experiments conclude that the inclusion of
a (NIR) channel in the image as a result of the combination of the spectra,
greatly improves the corner detection due to better entropy of the
resulting image after the fusion, Therefore the fusion process applied to
the images improves the results obtained in subsequent processes such as
identification of objects or patterns, classification and/or segmentation. |
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| Call Number |
gtsi @ user @ |
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84 |
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