| Records |
Author  |
Xavier Soria, Angel Sappa, Patricio Humanante, Arash Akbarinia |
| Title |
Dense extreme inception network for edge detection. |
Type |
Journal Article |
| Year |
2023 |
Publication |
Pattern Recognition |
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| Volume |
Vol. 139 |
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| ISSN |
00313203 |
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Approved |
no |
| Call Number |
cidis @ cidis @ |
Serial |
216 |
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| Author |
Spencer Low, Oliver Nina, Angel D. Sappa, Erik Blasch, Nathan Inkawhich |
| Title |
Multi-modal Aerial View Image Challenge: Translation from Synthetic Aperture Radar to Electro-Optical Domain Results – PBVS 2023 |
Type |
Conference Article |
| Year |
2023 |
Publication |
19th IEEE Workshop on Perception Beyond the Visible Spectrum de la Conferencia Computer Vision & Pattern Recognition CVPR 2023, junio 18-28 |
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| Volume |
2023-June |
Issue |
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Pages |
515 - 523 |
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| ISSN |
21607508 |
ISBN |
979-835030249-3 |
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Approved |
no |
| Call Number |
cidis @ cidis @ |
Serial |
211 |
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| Author |
Spencer Low, Oliver Nina, Angel D. Sappa, Erik Blasch, Nathan Inkawhich |
| Title |
Multi-modal Aerial View Object Classification Challenge Results – PBVS 2023 |
Type |
Conference Article |
| Year |
2023 |
Publication |
19th IEEE Workshop on Perception Beyond the Visible Spectrum de la Conferencia Computer Vision & Pattern Recognition CVPR 2023, junio 18-28 |
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| Volume |
2023-June |
Issue |
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Pages |
412 - 421 |
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21607508 |
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979-835030249-3 |
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Approved |
no |
| Call Number |
cidis @ cidis @ |
Serial |
212 |
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| Author |
Rivadeneira R.E., Sappa A.D., Vintimilla B.X., Nathan S., Kansal P., Mehri A et al. |
| Title |
Thermal Image Super-Resolution Challenge – PBVS 2021. |
Type |
Conference Article |
| Year |
2021 |
Publication |
In IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2021., junio 19 – 25, 2021 |
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Pages |
4354-4362 |
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no |
| Call Number |
cidis @ cidis @ |
Serial |
151 |
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| Author |
Rangnekar,Aneesha; Mulhollan,Zachary; Vodacek,Anthony; Hoffman,Matthew; Sappa,Angel D.; Yu,Jun et al. |
| Title |
Semi-Supervised Hyperspectral Object Detection Challenge Results-PBVS 2022. |
Type |
Conference Article |
| Year |
2022 |
Publication |
Conference on Computer Vision and Pattern Recognition Workshops, (CVPRW 2022), junio 19-24. |
Abbreviated Journal |
CONFERENCE |
| Volume |
2022-June |
Issue |
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Pages |
389-397 |
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Approved |
no |
| Call Number |
cidis @ cidis @ |
Serial |
176 |
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| Author |
Rafael E. Rivadeneira, Angel D. Sappa, Chenyang Wang, Junjun Jiang, Zhiwei Zhong, Peilin Chen & Shiqi Wang |
| Title |
Thermal Image Super Resolution Challenge Results – PBVS 2024 |
Type |
Conference Article |
| Year |
2024 |
Publication |
Accepted in 20th IEEE Workshop on Perception Beyond the Visible Spectrum of the 2024 Conference on Computer Vision and Pattern Recognition |
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Approved |
no |
| Call Number |
cidis @ cidis @ |
Serial |
233 |
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| Author |
Rafael E. Rivadeneira, Angel D. Sappa, Boris X. Vintimilla, Jin Kim, Dogun Kim et al. |
| Title |
Thermal Image Super-Resolution Challenge Results- PBVS 2022. |
Type |
Conference Article |
| Year |
2022 |
Publication |
Computer Vision and Pattern Recognition Workshops, (CVPRW 2022), junio 19-24. |
Abbreviated Journal |
CONFERENCE |
| Volume |
2022-June |
Issue |
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Pages |
349-357 |
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| Abstract |
This paper presents results from the third Thermal Image
Super-Resolution (TISR) challenge organized in the Perception Beyond the Visible Spectrum (PBVS) 2022 workshop.
The challenge uses the same thermal image dataset as the
first two challenges, with 951 training images and 50 validation images at each resolution. A set of 20 images was
kept aside for testing. The evaluation tasks were to measure
the PSNR and SSIM between the SR image and the ground
truth (HR thermal noisy image downsampled by four), and
also to measure the PSNR and SSIM between the SR image
and the semi-registered HR image (acquired with another
camera). The results outperformed those from last year’s
challenge, improving both evaluation metrics. This year,
almost 100 teams participants registered for the challenge,
showing the community’s interest in this hot topic. |
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Approved |
no |
| Call Number |
cidis @ cidis @ |
Serial |
175 |
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| Author |
Rafael E. Rivadeneira, Angel D. Sappa, Boris X. Vintimilla, Chenyang Wang, Junjun Jiang, Xianming Liu, Zhiwei Zhong, Dai Bin, Li Ruodi, Li Shengye |
| Title |
Thermal Image Super-Resolution Challenge Results – PBVS 2023 |
Type |
Conference Article |
| Year |
2023 |
Publication |
19th IEEE Workshop on Perception Beyond the Visible Spectrum de la Conferencia Computer Vision & Pattern Recognition CVPR 2023, junio 18-28 |
Abbreviated Journal |
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| Volume |
2023-June |
Issue |
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Pages |
470 - 478 |
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| ISSN |
21607508 |
ISBN |
979-835030249-3 |
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Approved |
no |
| Call Number |
cidis @ cidis @ |
Serial |
210 |
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| Author |
Patricia Suarez, Angel Sappa |
| Title |
Depth-Conditioned Thermal-like Image Generation |
Type |
Conference Article |
| Year |
2024 |
Publication |
Accepted in 14th International Conference on Pattern Recognition Systems (ICPRS) |
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Approved |
no |
| Call Number |
cidis @ cidis @ |
Serial |
243 |
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| Author |
Patricia L. Suarez; Angel D. Sappa; Boris X. Vintimilla; Riad I. Hammoud |
| Title |
Image Vegetation Index through a Cycle Generative Adversarial Network |
Type |
Conference Article |
| Year |
2019 |
Publication |
Conference on Computer Vision and Pattern Recognition Workshops (CVPR 2019); Long Beach, California, United States |
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Pages |
1014-1021 |
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| Abstract |
This paper proposes a novel approach to estimate the
Normalized Difference Vegetation Index (NDVI) just from
an RGB image. The NDVI values are obtained by using
images from the visible spectral band together with a synthetic near infrared image obtained by a cycled GAN. The
cycled GAN network is able to obtain a NIR image from
a given gray scale image. It is trained by using unpaired
set of gray scale and NIR images by using a U-net architecture and a multiple loss function (gray scale images are
obtained from the provided RGB images). Then, the NIR
image estimated with the proposed cycle generative adversarial network is used to compute the NDVI index. Experimental results are provided showing the validity of the proposed approach. Additionally, comparisons with previous
approaches are also provided. |
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no |
| Call Number |
gtsi @ user @ |
Serial |
106 |
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