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Rafael E. Rivadeneira, A. D. S., Boris X. Vintimilla, Jin Kim, Dogun Kim et al. (2022). Thermal Image Super-Resolution Challenge Results- PBVS 2022. In Computer Vision and Pattern Recognition Workshops, (CVPRW 2022), junio 19-24. (Vol. 2022-June, pp. 349–357).
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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Rafael E. Rivadeneira, A. D. S., Boris X. Vintimilla, Chenyang Wang, Junjun Jiang, Xianming Liu, Zhiwei Zhong, Dai Bin, Li Ruodi, Li Shengye. (2023). Thermal Image Super-Resolution Challenge Results – PBVS 2023. In 19th IEEE Workshop on Perception Beyond the Visible Spectrum de la Conferencia Computer Vision & Pattern Recognition (CVPR 2023) Vancouver, 18-28 junio 2023 (Vol. 2023-June, pp. 470–478).
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Rafael E. Rivadeneira, A. D. S. and R. H., Jiyong Rao, Hang Zhong, Yu Wang, Shengjie Zhao & et. (2025). Thermal Image Super- Resolution Challenge Results – PBVS 2025. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops CVPRW 2025. Nashville, 11-15 junio 2025 (pp. 4621–4630).
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Rafael E. Rivadeneira, A. D. S. and B. X. V. (2022). Multi-Image Super-Resolution for Thermal Images. In Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications VISIGRAPP 2022 (Vol. 4, pp. 635–642).
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Pereira J., M. M. & W. A. (2021). Qualitative Model to Maximize Shrimp Growth at Low Cost. 5th Ecuador Technical Chapters Meeting (ETCM 2021), Octubre 12 – 15, .
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Patricia Suarez, H. V., Dario Carpio, Angel Sappa, Patricia Urdiales, Francisca Burgos. (2022). Deep Learning based Shrimp Classification. In 17th International Symposium on Visual Computing, San Diego, USA, Octubre 3-5. Lecture Notes in Computer Science (LNCS) (Vol. 13598 LNCS, pp. 36–45).
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Patricia Súarez, H. V., Dario Carpio & Angel Sappa. (2023). Corn Kernel Classification From Few Training Samples. In journal Artificial Intelligence in Agriculture, Vol. 9, pp. 89–99.
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Patricia Suarez, A. S. (2024). Depth-Conditioned Thermal-like Image Generation. In 14th International Conference on Pattern Recognition Systems (ICPRS) Londres 15 – 18 July 2024.
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Patricia Suarez, A. D. S. (2024). A Generative Model for Guided Thermal Image Super-Resolution. In 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2024 Rome 27 – 29 Febraury 2024 (Vol. Vol. 3: VISAPP, pp. 765–771).
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Patricia Suarez Riofrio & Angel D. Sappa. (2025). Thermal Image Synthesis: Bridging the Gap between Visible and Infrared Spectrum. In Lecture Notes in Computer Science. 19th International Symposium on Visual Computing ISVC 2024 Lake Tahoe 21-23 Octubre 2024 (Vol. Vol. 15046 LNCS, 384–396).
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