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Nathan Inkawhich, Claire Thorp, Justice Wheelwright, Oliver Nina, Dylan Bowald, Angel Sappa, Erik Blasch |
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Title |
4th Multi-modal Aerial View Image Challenge: SAR CLASSIFICATION – PBVS 2025 |
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2025 |
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IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops CVPRW 2025. Nashville, 11-12 junio 2025 |
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4631 - 4639 |
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no |
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cidis @ cidis @ |
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276 |
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Rafael E. Rivadeneira, Angel D. Sappa and Riad Hammoud, Jiyong Rao, Hang Zhong, Yu Wang, Shengjie Zhao & et. |
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Title |
Thermal Image Super- Resolution Challenge Results – PBVS 2025 |
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Conference Article |
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2025 |
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IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops CVPRW 2025. Nashville, 11-15 junio 2025 |
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4621 - 4630 |
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cidis @ cidis @ |
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274 |
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Wassim El Ahmar, Angel D. Sappa and Riad Hammoud |
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Title |
Thermal Pedestrian Multiple Object Tracking Challenge (TP-MOT) |
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Conference Article |
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2025 |
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IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops CVPRW 2025. Nashville, 11-15 junio 2025 |
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4602 - 4609 |
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21607508 |
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979-833159994-2 |
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no |
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cidis @ cidis @ |
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275 |
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Rivadeneira R.E., Sappa A.D., Vintimilla B.X., Nathan S., Kansal P., Mehri A et al. |
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Title |
Thermal Image Super-Resolution Challenge – PBVS 2021. |
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Conference Article |
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Year |
2021 |
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In IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2021., junio 19 – 25, 2021 |
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4354-4362 |
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no |
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cidis @ cidis @ |
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151 |
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Author |
Ricaurte P; Chilán C; Cristhian A. Aguilera; Boris X. Vintimilla; Angel D. Sappa |
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Title |
Feature Point Descriptors: Infrared and Visible Spectra |
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Year |
2014 |
Publication |
Sensors Journal |
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Vol. 14 |
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pp. 3690-3701 |
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cross-spectral imaging; feature point descriptors |
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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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no |
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cidis @ cidis @ |
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28 |
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Author |
Rafael E. Rivadeneira, Angel D. Sappa, Chenyang Wang, Junjun Jiang, Zhiwei Zhong, Peilin Chen & Shiqi Wang |
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Title |
Thermal Image Super Resolution Challenge Results – PBVS 2024 |
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Conference Article |
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2024 |
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IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops CVPRW 2024 Seattle 16 – 22 June 2024 |
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3113 – 3122 |
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979-835036547-4 |
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no |
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cidis @ cidis @ |
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233 |
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Angel D. Sappa, Spencer Low, Oliver Nina, Erik Blasch, Dylan Bowald & Nathan Inkawhich |
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Title |
Multi-modal Aerial View Image Challenge: SAR Classification |
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Conference Article |
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Year |
2024 |
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IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops CVPRW 2024 Seattle 16 – 22 June 2024 |
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3105 - 3112 |
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979-835036547-4 |
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no |
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Call Number |
cidis @ cidis @ |
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234 |
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Author |
Angel D. Sappa, Spencer Low, Oliver Nina, Erik Blasch, Dylan Bowald & Nathan Inkawhich |
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Title |
Multi-modal Aerial View Image Challenge: Sensor Domain Translation |
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Conference Article |
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Year |
2024 |
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IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops CVPRW 2024 Seattle 16 – 22 June 2024 |
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3096 - 3104 |
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979-835036547-4 |
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cidis @ cidis @ |
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235 |
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Author |
Patricia L. Suárez, Angel D. Sappa, Boris X. Vintimilla |
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Title |
Cycle generative adversarial network: towards a low-cost vegetation index estimation |
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Conference Article |
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Year |
2021 |
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IEEE International Conference on Image Processing (ICIP 2021) |
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2021-September |
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2783-2787 |
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Keywords |
CyclicGAN, NDVI, near infrared spectra, instance normalization. |
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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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cidis @ cidis @ |
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164 |
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Mehri, A, Ardakani, P.B., Sappa, A.D. |
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Title |
MPRNet: Multi-Path Residual Network for Lightweight Image Super Resolution. |
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2021 |
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In IEEE Winter Conference on Applications of Computer Vision WACV 2021, enero 5-9, 2021 |
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2703-2712 |
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cidis @ cidis @ |
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148 |
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