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Rafael E. Rivadeneira, Angel D. Sappa, Leo Thomas Ramos and Riad Hammoud, Siqing Wu, Hang Zhong, Yu Wang, and Shengjie Zhao, Dawei Fan, Zeyu Li, and Xiongxin Tang |
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Title |
7th Thermal Image Super-Resolution Challenge – PBVS 2026 |
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2026 |
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22nd IEEE Workshop on Perception Beyond the Visible Spectrum of Computer Vision and Pattern Recognition Conference CVPR 2026 |
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cidis @ cidis @ |
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308 |
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Author |
Thomas De Kerf, Rafael E. Rivadeneira, Leo Thomas Ramos3, Angel D. Sappa, Steve Vanlanduit |
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Title |
1st Hyperspectral Image Super-Resolution Challenge – PBVS 2026 |
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2026 |
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22nd IEEE Workshop on Perception Beyond the Visible Spectrum of Computer Vision and Pattern Recognition Conference CVPR 2026 |
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cidis @ cidis @ |
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309 |
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Patricia L. Suarez; Angel D. Sappa; Boris X. Vintimilla; Riad I. Hammoud |
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Title |
Near InfraRed Imagery Colorization |
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Conference Article |
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Year |
2018 |
Publication |
25 th IEEE International Conference on Image Processing, ICIP 2018 |
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2237-2241 |
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This paper proposes a stacked conditional Generative
Adversarial Network-based method for Near InfraRed
(NIR) imagery colorization. We propose a variant architecture
of Generative Adversarial Network (GAN) that uses multiple
loss functions over a conditional probabilistic generative model.
We show that this new architecture/loss-function yields better
generalization and representation of the generated colored IR
images. The proposed approach is evaluated on a large test
dataset and compared to recent state of the art methods using
standard metrics.1
Index Terms—Convolutional Neural Networks (CNN), Generative
Adversarial Network (GAN), Infrared Imagery colorization. |
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gtsi @ user @ |
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81 |
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Author |
Mehri, A, Ardakani, P.B., Sappa, A.D. |
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Title |
LiNet: A Lightweight Network for Image Super Resolution |
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2021 |
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25th International Conference on Pattern Recognition (ICPR), enero 10-15, 2021 |
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7196-7202 |
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cidis @ cidis @ |
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149 |
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Author |
Emmanuel Moran, Boris Vintimilla & Miguel Realpe |
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Title |
Towards a Robust Solution for the Supermarket Shelf Audit Problem. |
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Conference Article |
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Year |
2023 |
Publication |
26th Iberoamerican Congress on Pattern Recognition (CIARP 2023) Coimbra 27-30 November 2023 |
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Vol. 14469 LNCS |
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257-271 |
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03029743 |
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978-303149017-0 |
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no |
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Call Number |
cidis @ cidis @ |
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204 |
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Author |
Patricia L. Suarez; Angel D. Sappa; Boris X. Vintimilla |
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Title |
Learning Image Vegetation Index through a Conditional Generative Adversarial Network |
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Conference Article |
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Year |
2017 |
Publication |
2nd IEEE Ecuador Tehcnnical Chapters Meeting (ETCM) |
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gtsi @ user @ |
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70 |
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Author |
Henry Velesaca Lara, Patricia Suarez, Darío Carpio & Angel Sappa |
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Title |
Fruit Grading based on Deep Learning and Active Vision System |
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Year |
2024 |
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2nd International Conference of Applied Industrial Engineering: Intelligent Production Automation and its Sustainable Development, CIIA 2024 Guayaquil 28 – 30 May 2024 |
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Vol. 532 |
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25550403 |
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no |
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cidis @ cidis @ |
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241 |
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Author |
Jorge Alvarez; Mireya Zapata; Dennys Paillacho |
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Title |
Mechanical Design of a spatial mechanism for the robot head movements in social robotics for the evaluation of Human-Robot Interaction. |
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Conference Article |
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2019 |
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2nd International Conference on Human Systems Engineering and Design: Future Trends and Applications (IHSED 2019); Munich, Alemania |
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1026 |
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160-165 |
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no |
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gtsi @ user @ |
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104 |
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Author |
Mildred Cruz; Cristhian A. Aguilera; Boris X. Vintimilla; Ricardo Toledo; Ángel D. Sappa |
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Title |
Cross-spectral image registration and fusion: an evaluation study |
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Conference Article |
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Year |
2015 |
Publication |
2nd International Conference on Machine Vision and Machine Learning |
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331 |
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Keywords |
multispectral imaging; image registration; data fusion; infrared and visible spectra |
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This paper presents a preliminary study on the registration and fusion of cross-spectral imaging. The objective is to evaluate the validity of widely used computer vision approaches when they are applied at different spectral bands. In particular, we are interested in merging images from the infrared (both long wave infrared: LWIR and near infrared: NIR) and visible spectrum (VS). Experimental results with different data sets are presented. |
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Computer Vision Center |
Place of Publication |
Barcelona, Spain |
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English |
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English |
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cidis @ cidis @ |
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35 |
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Author |
Miguel Realpe; Boris X. Vintimilla; Ljubo Vlacic |
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Title |
Sensor Fault Detection and Diagnosis for autonomous vehicles |
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Conference Article |
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Year |
2015 |
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2nd International Conference on Mechatronics, Automation and Manufacturing (ICMAM 2015), International Conference on, Singapur, 2015 |
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30 |
Issue |
MATEC Web of Conferences |
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1-6 |
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In recent years testing autonomous vehicles on public roads has become a reality. However, before having autonomous vehicles completely accepted on the roads, they have to demonstrate safe operation and reliable interaction with other traffic participants. Furthermore, in real situations and long term operation, there is always the possibility that diverse components may fail. This paper deals with possible sensor faults by defining a federated sensor data fusion architecture. The proposed architecture is designed to detect obstacles in an autonomous vehicle’s environment while detecting a faulty sensor using SVM models for fault detection and diagnosis. Experimental results using sensor information from the KITTI dataset confirm the feasibility of the proposed architecture to detect soft and hard faults from a particular sensor. |
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EDP Sciences |
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English |
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English |
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Call Number |
cidis @ cidis @ |
Serial |
42 |
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