| Records |
| 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 |
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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 |
Xavier Soria , Gonzalo Pomboza-Junez & Angel Sappa. |
| Title |
LDC: Lightweight Dense CNN for Edge Detection. |
Type |
Journal Article |
| Year |
2022 |
Publication |
IEEE Access journal |
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| Volume |
Vol. 10 |
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Pages |
pp. 68281-68290 |
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Approved |
yes |
| Call Number |
cidis @ cidis @ |
Serial |
183 |
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| Author |
Armin Mehri; Parichehr Behjati; Angel Domingo Sappa |
| Title |
TnTViT-G: Transformer in Transformer Network for Guidance Super Resolution. |
Type |
Journal Article |
| Year |
2023 |
Publication |
IEEE Access |
Abbreviated Journal |
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| Volume |
Vol. 11 |
Issue |
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Pages |
pp. 11529-11540 |
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21693536 |
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Approved |
no |
| Call Number |
cidis @ cidis @ |
Serial |
207 |
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| Author |
Steven Silva, Nervo Verdezoto, Dennys Paillacho, Samuel Millan-Norman & Juan David Hernandez |
| Title |
Online Social Robot Navigation in Indoor, Large and Crowded Environments. |
Type |
Conference Article |
| Year |
2023 |
Publication |
IEEE International Conference on Robotics and Automation (ICRA 2023) |
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| Volume |
2023-May |
Issue |
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Pages |
9749 - 9756 |
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10504729 |
ISBN |
979-835032365-8 |
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Approved |
no |
| Call Number |
cidis @ cidis @ |
Serial |
206 |
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| Author |
Mehri, A, Ardakani, P.B., Sappa, A.D. |
| Title |
LiNet: A Lightweight Network for Image Super Resolution |
Type |
Conference Article |
| Year |
2021 |
Publication |
25th International Conference on Pattern Recognition (ICPR), enero 10-15, 2021 |
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Pages |
7196-7202 |
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Approved |
no |
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cidis @ cidis @ |
Serial |
149 |
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| Author |
Rivadeneira R.E., Sappa A.D., Vintimilla B.X., Nathan S., Kansal P., Mehri A et al. |
| Title |
Thermal Image Super-Resolution Challenge – PBVS 2021. |
Type |
Conference Article |
| Year |
2021 |
Publication |
In IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2021., junio 19 – 25, 2021 |
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Issue |
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Pages |
4354-4362 |
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no |
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cidis @ cidis @ |
Serial |
151 |
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| Author |
Ricaurte P; Chilán C; Cristhian A. Aguilera; Boris X. Vintimilla; Angel D. Sappa |
| Title |
Feature Point Descriptors: Infrared and Visible Spectra |
Type |
Journal Article |
| Year |
2014 |
Publication |
Sensors Journal |
Abbreviated Journal |
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| Volume |
Vol. 14 |
Issue |
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Pages |
pp. 3690-3701 |
| Keywords |
cross-spectral imaging; feature point descriptors |
| Abstract |
This manuscript evaluates the behavior of classical feature point descriptors when they are used in images from long-wave infrared spectral band and compare them with the results obtained in the visible spectrum. Robustness to changes in rotation, scaling, blur, and additive noise are analyzed using a state of the art framework. Experimental results using a cross-spectral outdoor image data set are presented and conclusions from these experiments are given. |
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English |
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English |
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Approved |
no |
| Call Number |
cidis @ cidis @ |
Serial |
28 |
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| Author |
Patricia L. Suárez, Angel D. Sappa, Boris X. Vintimilla |
| Title |
Cycle generative adversarial network: towards a low-cost vegetation index estimation |
Type |
Conference Article |
| Year |
2021 |
Publication |
IEEE International Conference on Image Processing (ICIP 2021) |
Abbreviated Journal |
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| Volume |
2021-September |
Issue |
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Pages |
2783-2787 |
| Keywords |
CyclicGAN, NDVI, near infrared spectra, instance normalization. |
| Abstract |
This paper presents a novel unsupervised approach to estimate the Normalized Difference Vegetation Index (NDVI).The NDVI is obtained as the ratio between information from the visible and near infrared spectral bands; in the current work, the NDVI is estimated just from an image of the visible spectrum through a Cyclic Generative Adversarial Network (CyclicGAN). This unsupervised architecture learns to estimate the NDVI index by means of an image translation between the red channel of a given RGB image and the NDVI unpaired index’s image. The translation is obtained by means of a ResNET architecture and a multiple loss function. Experimental results obtained with this unsupervised scheme show the validity of the implemented model. Additionally, comparisons with the state of the art approaches are provided showing improvements with the proposed approach. |
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Approved |
no |
| Call Number |
cidis @ cidis @ |
Serial |
164 |
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| Author |
Mehri, A, Ardakani, P.B., Sappa, A.D. |
| Title |
MPRNet: Multi-Path Residual Network for Lightweight Image Super Resolution. |
Type |
Conference Article |
| Year |
2021 |
Publication |
In IEEE Winter Conference on Applications of Computer Vision WACV 2021, enero 5-9, 2021 |
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Issue |
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Pages |
2703-2712 |
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Approved |
no |
| Call Number |
cidis @ cidis @ |
Serial |
148 |
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| Author |
Patricia L. Suarez; Angel D. Sappa; Boris X. Vintimilla; Riad I. Hammoud |
| Title |
Near InfraRed Imagery Colorization |
Type |
Conference Article |
| Year |
2018 |
Publication |
25 th IEEE International Conference on Image Processing, ICIP 2018 |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
2237-2241 |
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| Abstract |
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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no |
| Call Number |
gtsi @ user @ |
Serial |
81 |
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