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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 Type Journal Article
Year 2023 Publication IEEE access Abbreviated Journal
Volume Vol. 11 Issue Pages (down) 121457 - 121469
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ISSN 21693536 ISBN Medium
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Notes 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 Abbreviated Journal
Volume Vol. 10 Issue Pages (down) pp. 68281-68290
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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
Volume Vol. 11 Issue Pages (down) pp. 11529-11540
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Notes 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) Abbreviated Journal
Volume 2023-May Issue Pages (down) 9749 - 9756
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ISSN 10504729 ISBN 979-835032365-8 Medium
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Notes Approved 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) Abbreviated Journal
Volume 2021-September Issue Pages (down) 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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Call Number cidis @ cidis @ Serial 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 Abbreviated Journal
Volume Issue Pages (down) 1356 - 1365
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Notes Approved no
Call Number cidis @ cidis @ Serial 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 Abbreviated Journal
Volume Issue Pages (down) 912 - 919
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Notes Approved no
Call Number cidis @ cidis @ Serial 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 Abbreviated Journal
Volume 5 Issue Pages (down) 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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Notes Approved yes
Call Number cidis @ cidis @ Serial 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, Abbreviated Journal
Volume 2022-August Issue Pages (down) 707-714
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Notes Approved no
Call Number 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 Abbreviated Journal
Volume 4 Issue Pages (down) 635 - 642
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Notes Approved no
Call Number cidis @ cidis @ Serial 181
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