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Author Henry Velesaca, Boris Vintimilla, Jorge Vulgarin, Coen Antens & Alberto Rubio Pérez
Title Deep Learning-based Multimodal Sensing Framework for AntiSpoofing Systems Type Journal Article
Year 2024 Publication (down) In Fourth International Conference on Innovations in Computational Intelligence and Computer Vision (ICICV 2024) Abbreviated Journal
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Call Number cidis @ cidis @ Serial 238
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Author Patricia Suarez & Angel D. Sappa
Title Haze-Free Imaging through Haze-Aware Transformer Adaptations Type Conference Article
Year 2024 Publication (down) In Fourth International Conference on Innovations in Computational Intelligence and Computer Vision (ICICV 2024) Abbreviated Journal
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Call Number cidis @ cidis @ Serial 236
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Author Suárez P.
Title Processing and Representation of Multispectral Images Using Deep Learning Techniques Type Magazine Article
Year 2021 Publication (down) In Electronic Letters on Computer Vision and Image Analysis Abbreviated Journal
Volume Vol. 19 Issue Issue 2 Pages pp. 5-8
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Corporate Author Ph.D. Angel Sappa, Director & Ph.D. Boris Vintimilla, Codirector Thesis Master's thesis
Publisher Place of Publication Editor
Language Español Summary Language Original Title
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Notes Approved yes
Call Number cidis @ cidis @ Serial 122
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Author Velesaca, H.O., Suárez, P. L., Mira, R., & Sappa, A.D.
Title Computer Vision based Food Grain Classification: a Comprehensive Survey Type Journal Article
Year 2021 Publication (down) In Computers and Electronics in Agriculture Journal. (Article number 106287) Abbreviated Journal
Volume Vol. 187 Issue Pages
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Call Number cidis @ cidis @ Serial 159
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Author Tyrone Rodríguez, Adriana Guilindro, Paolo Piedrahita & Miguel Realpe
Title Towards Birds Conservation in Dry Forest Ecosystems through Audio Recognition via Deep Learning Type Conference Article
Year 2024 Publication (down) In 9th International Congress on Information and Communication Technology ICICT 2024 Abbreviated Journal
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Call Number cidis @ cidis @ Serial 239
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Author Patricia Suarez, Angel D. Sappa
Title A Generative Model for Guided Thermal Image Super-Resolution Type Conference Article
Year 2024 Publication (down) In 19th International Conference on Computer Vision Theory and Applications VISAPP 2024 Abbreviated Journal
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Call Number cidis @ cidis @ Serial 240
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Author Dennys Paillacho; Cecilio Angulo; Marta Díaz.
Title An Exploratory Study of Group-Robot Social Interactions in a Cultural Center Type Conference Article
Year 2015 Publication (down) IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2015, International Conference on, Hamburg, Germany, 2015 Abbreviated Journal
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Abstract This article describes an exploratory study of social human-robot interaction with the experimental robotic platform MASHI. The experiences were carried out in La B`obila Cultural Center in Barcelona, Spain to study the visitor preferences, characterize the groups and their spatial relationships in this open and unstructured environment. Results showed that visitors prefers to play and dialogue with the robot. Children have the highest interest in interacting with the robot, more than young and adult visitors. Most of the groups consisted of more than 3 visitors, however the size of the groups during interactions was continuously changed. In static situations, the observed spatial relationships denotes a social cohesion in the human-robot interactions.
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Language English Summary Language Original Title
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Call Number gtsi @ user @ Serial 67
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Author Cristhian A. Aguilera; Angel D. Sappa; R. Toledo
Title LGHD: A feature descriptor for matching across non-linear intensity variations Type Conference Article
Year 2015 Publication (down) IEEE International Conference on, Quebec City, QC, 2015 Abbreviated Journal
Volume Issue Pages 178 - 181
Keywords Feature descriptor, multi-modal, multispectral, NIR, LWIR
Abstract This paper presents a new feature descriptor suitable to the task of matching features points between images with nonlinear intensity variations. This includes image pairs with significant illuminations changes, multi-modal image pairs and multi-spectral image pairs. The proposed method describes the neighbourhood of feature points combining frequency and spatial information using multi-scale and multi-oriented Log- Gabor filters. Experimental results show the validity of the proposed approach and also the improvements with respect to the state of the art.
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Publisher IEEE Place of Publication Quebec City, QC, Canada Editor
Language English Summary Language English Original Title
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Area Expedition Conference 2015 IEEE International Conference on Image Processing (ICIP)
Notes Approved no
Call Number cidis @ cidis @ Serial 40
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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 (down) IEEE International Conference on Robotics and Automation (ICRA 2023) Abbreviated Journal
Volume 2023-May Issue Pages 9749 - 9756
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ISSN 10504729 ISBN 979-835032365-8 Medium
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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 (down) IEEE International Conference on Image Processing (ICIP 2021) Abbreviated Journal
Volume 2021-September Issue 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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Call Number cidis @ cidis @ Serial 164
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