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Author |
Henry Velesaca, Boris Vintimilla, Jorge Vulgarin, Coen Antens & Alberto Rubio Pérez |
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Title |
Deep Learning-based Multimodal Sensing Framework for AntiSpoofing Systems |
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Journal Article |
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Year |
2024 |
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Lecture Notes in Networks and Systems: 4th International Conference on Innovations in Computational Intelligence and Computer Vision (ICICV 2024) |
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Vol. 1116 LNNS |
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39-54 |
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23673370 |
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978-981976994-0 |
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cidis @ cidis @ |
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238 |
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Author |
Tyrone Rodríguez, Adriana Guilindro, Paolo Piedrahita & Miguel Realpe |
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Title |
Towards Birds Conservation in Dry Forest Ecosystems through Audio Recognition via Deep Learning |
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Conference Article |
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Year |
2025 |
Publication |
Lecture Notes in Networks and Systems: 9th International Congress on Information and Communication Technology ICICT 2024 London 19 – 22 Febraury 2024 |
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Vol. 1054 LNNS |
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45 - 57 |
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cidis @ cidis @ |
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239 |
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Author |
Henry O. Velesaca, Gisel Bastidas, Mohammad Rouhani, Angel D. Sappa |
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Title |
Multimodal image registration techniques: a comprehensive survey |
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Journal Article |
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Year |
2024 |
Publication |
Multimedia Tools and Applications |
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Vol. 83 |
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63919 - 63947 |
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13807501 |
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cidis @ cidis @ |
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248 |
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Author |
Patricia L. Suarez, Dario Carpio, Angel D. Sappa |
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Title |
Enhancement of Guided Thermal Image Super-Resolution Approaches |
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2024 |
Publication |
Neurocomputing |
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573 |
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Neurocomputing |
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no |
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cidis @ cidis @ |
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247 |
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Author |
Xavier Soria, Angel Sappa, Patricio Humanante, Arash Akbarinia |
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Title |
Dense extreme inception network for edge detection. |
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Journal Article |
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Year |
2023 |
Publication |
Pattern Recognition |
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Volume |
Vol. 139 |
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00313203 |
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no |
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Call Number |
cidis @ cidis @ |
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216 |
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Author |
Xavier Soria, Yachuan Li, Mohammad Rouhani & Angel D. Sappa |
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Title |
Tiny and Efficient Model for the Edge Detection Generalization |
Type |
Conference Article |
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Year |
2023 |
Publication |
Proceedings – 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW 2023) Paris 2-6 October 2023 |
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Pages |
1356 - 1365 |
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no |
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Call Number |
cidis @ cidis @ |
Serial |
229 |
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Author |
Luis Chuquimarca, Boris Vintimilla & Sergio Velastin |
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Title |
Banana Ripeness Level Classification using a Simple CNN Model Trained with Real and Synthetic Datasets. |
Type |
Conference Article |
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Year |
2023 |
Publication |
Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) Lisbon, 19-21 Febrero 2023 |
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Vol. 5 |
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536 - 543 |
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21845921 |
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no |
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Call Number |
cidis @ cidis @ |
Serial |
202 |
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Author |
Patricia Suarez & Angel Sappa |
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Title |
Toward a thermal image-like representation |
Type |
Conference Article |
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Year |
2023 |
Publication |
Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) Lisbon, 19-21 Febrero 2023 |
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Pages |
133 - 140 |
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no |
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Call Number |
cidis @ cidis @ |
Serial |
205 |
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Author |
Rafael E. Rivadeneira, Angel D. Sappa and Boris X. Vintimilla |
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Title |
Multi-Image Super-Resolution for Thermal Images. |
Type |
Conference Article |
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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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Pages |
635 - 642 |
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no |
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Call Number |
cidis @ cidis @ |
Serial |
181 |
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Author |
Jorge L. Charco, Angel D. Sappa, Boris X. Vintimilla |
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Title |
Human Pose Estimation through A Novel Multi-View Scheme |
Type |
Conference Article |
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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 |
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Pages |
855-862 |
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Keywords |
Multi-View Scheme, Human Pose Estimation, Relative Camera Pose, Monocular Approach |
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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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Call Number |
cidis @ cidis @ |
Serial |
169 |
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