| Records |
| Author |
Michael Teutsch, Angel Sappa & Riad Hammoud |
| Title |
Computer Vision in the Infrared Spectrum: Challenges and ApproachesComputer Vision in the Infrared Spectrum: Challenges and Approaches |
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Journal Article |
| Year |
2021 |
Publication |
Synthesis Lectures on Computer Vision |
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| Volume |
Vol. 10 No. 2 |
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pp. 138 |
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cidis @ cidis @ |
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166 |
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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 |
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4 |
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635 - 642 |
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cidis @ cidis @ |
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181 |
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| Author |
Angel D. Sappa, Patricia L. Suárez, Henry O. Velesaca, Darío Carpio |
| Title |
Domain adaptation in image dehazing: exploring the usage of images from virtual scenarios. |
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Conference Article |
| Year |
2022 |
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16th International Conference on Computer Graphics, Visualization, Computer Vision and Image Processing (CGVCVIP 2022), julio 20-22 |
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85-92 |
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cidis @ cidis @ |
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182 |
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| Author |
Santos, V., Sappa, A.D., Oliveira, M. & de la Escalera, A. |
| Title |
Editorial: Special Issue on Autonomous Driving and Driver Assistance Systems – Some Main Trends |
Type |
Journal Article |
| Year |
2021 |
Publication |
In Journal: Robotics and Autonomous Systems. (Article number 103832) |
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Vol. 144 |
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cidis @ cidis @ |
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158 |
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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 |
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Journal Article |
| Year |
2021 |
Publication |
In Computers and Electronics in Agriculture Journal. (Article number 106287) |
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Vol. 187 |
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no |
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cidis @ cidis @ |
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159 |
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| Author |
Henry O. Velesaca, Patricia L. Suarez, Dario Carpio, and Angel D. Sappa |
| Title |
Synthesized Image Datasets: Towards an Annotation-Free Instance Segmentation Strategy |
Type |
Conference Article |
| Year |
2021 |
Publication |
16 International Symposium on Visual Computing. Octubre 4-6, 2021. Lecture Notes in Computer Science |
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| Volume |
13017 |
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131-143 |
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no |
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cidis @ cidis @ |
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163 |
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| Author |
Patricia L. Suárez, Dario Carpio, and Angel Sappa |
| Title |
Non-Homogeneous Haze Removal through a Multiple Attention Module Architecture. |
Type |
Conference Article |
| Year |
2021 |
Publication |
16 International Symposium on Visual Computing. Octubre 4-6, 2021. Lecture Notes in Computer Science |
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| Volume |
13018 |
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178-190 |
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no |
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cidis @ cidis @ |
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162 |
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| Author |
Pereira J., Mora M. & W. Agila |
| Title |
Qualitative Model to Maximize Shrimp Growth at Low Cost |
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Journal Article |
| Year |
2021 |
Publication |
5th Ecuador Technical Chapters Meeting (ETCM 2021), Octubre 12 – 15 |
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no |
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cidis @ cidis @ |
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167 |
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| Author |
Rivadeneira, Rafael E.; Sappa, Angel D. and Vintimilla Boris X. |
| Title |
Thermal Image Super-Resolution: A Novel Unsupervised Approach. |
Type |
Book Chapter |
| Year |
2022 |
Publication |
Communications in Computer and Information Science, 15th International Communications in Computer and Information Science Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications |
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BOOK |
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1474 |
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495-506 |
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no |
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cidis @ cidis @ |
Serial |
179 |
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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. |
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CONFERENCE |
| Volume |
2022-June |
Issue |
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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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no |
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cidis @ cidis @ |
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175 |
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