| Records |
| Author |
Gisel Bastidas-Guacho, Patricio Moreno-Vallejo, Boris Vintimilla, Angel D. Sappa |
| Title |
Application on the Loop of Multimodal Image Fusion: Trends on Deep-Learning Based Approaches |
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| Year |
2023 |
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IEEE 13th International Conference on Pattern Recognition Systems ICPRS 2023, julio 4-7 |
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979-835033337-4 |
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no |
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cidis @ cidis @ |
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213 |
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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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2023 |
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17th International Conference On Signal Image Technology & Internet Based System |
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no |
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cidis @ cidis @ |
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224 |
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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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| 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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| Author |
Xavier Soria, Yachuan Li, Mohammad Rouhani & Angel D. Sappa |
| Title |
Tiny and Efficient Model for the Edge Detection Generalization |
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| Year |
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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cidis @ cidis @ |
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229 |
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| Author |
Cristhian A. Aguilera; Cristhian Aguilera; Angel D. Sappa |
| Title |
Melamine faced panels defect classification beyond the visible spectrum. |
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2018 |
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In Sensors 2018 |
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Vol. 11 |
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Issue 11 |
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In this work, we explore the use of images from different spectral bands to classify defects in melamine faced panels, which could appear through the production process. Through experimental evaluation, we evaluate the use of images from the visible (VS), near-infrared (NIR), and long wavelength infrared (LWIR), to classify the defects using a feature descriptor learning approach together with a support vector machine classifier. Two descriptors were evaluated, Extended Local Binary Patterns (E-LBP) and SURF using a Bag of Words (BoW) representation. The evaluation was carried on with an image set obtained during this work, which contained five different defect categories that currently occurs in the industry. Results show that using images from beyond
the visual spectrum helps to improve classification performance in contrast with a single visible spectrum solution. |
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89 |
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| Author |
Juan A. Carvajal; Dennis G. Romero; Angel D. Sappa |
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Fine-tuning deep convolutional networks for lepidopterous genus recognition |
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Journal Article |
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2017 |
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Lecture Notes in Computer Science |
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Vol. 10125 LNCS |
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pp. 467-475 |
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gtsi @ user @ |
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63 |
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| Author |
Cristhian A. Aguilera; Angel D. Sappa; Ricardo Toledo |
| Title |
Cross-Spectral Local Descriptors via Quadruplet Network |
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Journal Article |
| Year |
2017 |
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In Sensors Journal |
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Vol. 17 |
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pp. 873 |
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64 |
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| Author |
Victor Santos; Angel D. Sappa; Miguel Oliveira |
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Special Issue on Autonomous Driving an Driver Assistance Systems |
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Journal Article |
| Year |
2017 |
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In Robotics and Autonomous Systems Journal |
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Vol. 91 |
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pp. 208-209 |
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65 |
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| Author |
Patricia L. Suarez; Angel D. Sappa; Boris X. Vintimilla |
| Title |
Colorizing Infrared Images through a Triplet Condictional DCGAN Architecture |
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2017 |
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19th International Conference on Image Analysis and Processing. |
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287-297 |
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gtsi @ user @ |
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66 |
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| Author |
Patricia L. Suarez; Angel D. Sappa; Boris X. Vintimilla |
| Title |
Learning Image Vegetation Index through a Conditional Generative Adversarial Network |
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Conference Article |
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2017 |
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2nd IEEE Ecuador Tehcnnical Chapters Meeting (ETCM) |
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gtsi @ user @ |
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70 |
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