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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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portfolio
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publications
Self-Supervised Contrastive Learning for Volcanic Unrest Detection
Published in IEEE Geoscience and Remote Sensing Letters ( Volume: 19), 2021
Recommended citation: N. I. Bountos, I. Papoutsis, D. Michail and N. Anantrasirichai, "Self-Supervised Contrastive Learning for Volcanic Unrest Detection," in IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, 2022, Art no. 3003905, doi: 10.1109/LGRS.2021.3104506. https://arxiv.org/abs/2202.04030
Benchmarking and scaling of deep learning models for land cover image classification
Published in ISPRS Journal of Photogrammetry and Remote Sensing, 2022
Recommended citation: Ioannis Papoutsis, Nikolaos Ioannis Bountos, Angelos Zavras, Dimitrios Michail, Christos Tryfonopoulos, Benchmarking and scaling of deep learning models for land cover image classification, ISPRS Journal of Photogrammetry and Remote Sensing, Volume 195, 2023, Pages 250-268, ISSN 0924-2716, https://doi.org/10.1016/j.isprsjprs.2022.11.012. https://www.sciencedirect.com/science/article/pii/S0924271622003057
Hephaestus: A large scale multitask dataset towards InSAR understanding
Published in Computer Vision and Pattern Recognition (CVPR) 2022 Conference Workshop: EARTHVISION, 2022
Recommended citation: Nikolaos Ioannis Bountos, Ioannis Papoutsis, Dimitrios Michail, Andreas Karavias, Panagiotis Elias, Isaak Parcharidis; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2022, pp. 1453-1462 https://openaccess.thecvf.com/content/CVPR2022W/EarthVision/papers/Bountos_Hephaestus_A_Large_Scale_Multitask_Dataset_Towards_InSAR_Understanding_CVPRW_2022_paper.pdf
Learning From Synthetic InSAR With Vision Transformers: The Case of Volcanic Unrest Detection
Published in IEEE Transactions on Geoscience and Remote Sensing ( Volume: 60), 2022
Recommended citation: N. I. Bountos, D. Michail and I. Papoutsis, "Learning From Synthetic InSAR With Vision Transformers: The Case of Volcanic Unrest Detection," in IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-12, 2022, Art no. 4509712, doi: 10.1109/TGRS.2022.3180891. https://arxiv.org/pdf/2201.03016.pdf
FoMo-Bench: a multi-modal, multi-scale and multi-task Forest Monitoring Benchmark for remote sensing foundation models
Published in arXiv, 2023
Recommended citation: Bountos, Nikolaos Ioannis, Arthur Ouaknine, and David Rolnick. "FoMo-Bench: a multi-modal, multi-scale and multi-task Forest Monitoring Benchmark for remote sensing foundation models." arXiv preprint arXiv:2312.10114 (2023). https://arxiv.org/abs/2312.10114
TeleViT: Teleconnection-driven Transformers Improve Subseasonal to Seasonal Wildfire Forecasting
Published in ICCV 2023 AI + HADR workshop, 2023
Recommended citation: Ioannis Prapas, Nikolaos Ioannis Bountos, Spyros Kondylatos, Dimitrios Michail, Gustau Camps-Valls, Ioannis Papoutsis https://arxiv.org/abs/2306.10940
Kuro Siwo: 12.1 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping
Published in arXiv, 2023
Recommended citation: Bountos, Nikolaos Ioannis, et al. "Kuro Siwo: 12.1 billion $ m^ 2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping." arXiv preprint arXiv:2311.12056 (2023). https://arxiv.org/abs/2311.12056
Seasonal Fire Prediction using Spatio-Temporal Deep Neural Networks
Published in arXiv, 2024
Recommended citation: Michail, Dimitrios, et al. "Seasonal Fire Prediction using Spatio-Temporal Deep Neural Networks." arXiv preprint arXiv:2404.06437 (2024). https://arxiv.org/abs/2404.06437
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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