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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121457 - 121469 |
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21693536 |
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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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Vol. 10 |
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pp. 68281-68290 |
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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 |
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Volume |
Vol. 11 |
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pp. 11529-11540 |
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21693536 |
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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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2023-May |
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Pages |
9749 - 9756 |
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10504729 |
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979-835032365-8 |
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no |
Call Number |
cidis @ cidis @ |
Serial |
206 |
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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) |
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2021-September |
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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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no |
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cidis @ cidis @ |
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164 |
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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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Pages |
1356 - 1365 |
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no |
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cidis @ cidis @ |
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229 |
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Author |
Emmanuel Moran, Boris Vintimilla & Miguel Realpe |
Title |
Towards a Robust Solution for the Supermarket Shelf Audit Problem. |
Type |
Conference Article |
Year |
2023 |
Publication |
Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications VISIGRAPP 2023 |
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912 - 919 |
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no |
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cidis @ cidis @ |
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204 |
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Author |
Jorge L. Charco, Angel D. Sappa, Boris X. Vintimilla |
Title |
Human Pose Estimation through A Novel Multi-View Scheme |
Type |
Conference Article |
Year |
2022 |
Publication |
Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications VISIGRAPP 2022 |
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Volume |
5 |
Issue |
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Pages |
855-862 |
Keywords |
Multi-View Scheme, Human Pose Estimation, Relative Camera Pose, Monocular Approach |
Abstract |
This paper presents a multi-view scheme to tackle the challenging problem of the self-occlusion in human
pose estimation problem. The proposed approach first obtains the human body joints of a set of images,
which are captured from different views at the same time. Then, it enhances the obtained joints by using a
multi-view scheme. Basically, the joints from a given view are used to enhance poorly estimated joints from
another view, especially intended to tackle the self occlusions cases. A network architecture initially proposed
for the monocular case is adapted to be used in the proposed multi-view scheme. Experimental results and
comparisons with the state-of-the-art approaches on Human3.6m dataset are presented showing improvements
in the accuracy of body joints estimations. |
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yes |
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cidis @ cidis @ |
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169 |
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Author |
Silva Steven, Paillacho Dennys, Verdezoto Nervo, Hernandez Juan David |
Title |
TOWARDS ONLINE SOCIALLY ACCEPTABLE ROBOT NAVIGATION |
Type |
Conference Article |
Year |
2022 |
Publication |
IEEE INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING, |
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2022-August |
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707-714 |
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no |
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cidis @ cidis @ |
Serial |
199 |
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Author |
Rafael E. Rivadeneira, Angel D. Sappa and Boris X. Vintimilla |
Title |
Multi-Image Super-Resolution for Thermal Images. |
Type |
Conference Article |
Year |
2022 |
Publication |
Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications VISIGRAPP 2022 |
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4 |
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635 - 642 |
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no |
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cidis @ cidis @ |
Serial |
181 |
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