News Feed

• September 26, 2024, Our paper Kuro Siwo: 33 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping has been accepted to NeurIPS 2024, Datasets and Benchmarks Track.
• March 27, 2024, Our paper FoMo-Bench: a multi-modal, multi-scale and multi-task Forest Monitoring Benchmark for remote sensing foundation models has been made available on arXiv.
• March 16, 2024 We have been selected as one of the Idea Track winners in EUSPA - EU Agency for the Space Programme Cassini Challenges with our idea manteo.
• November 18, 2023 Our paper Kuro Siwo: A global multi-temporal SAR dataset for rapid flood mapping has been made available on arXiV.
• October 3, 2023 We have received the “Best paper award” at the ICCV 2023 AI + HADR workshop for our work TeleViT: Teleconnection-driven Transformers Improve Subseasonal to Seasonal Wildfire Forecasting.
• August 21, 2023 Our work TeleViT: Teleconnection-driven Transformers Improve Subseasonal to Seasonal Wildfire Forecasting will be presented at the ICCV 2023 AI + HADR workshop.
• July 16, 2023: Orion Lab is holding a tutorial in IGARSS 2023 focusing on Deep Learning for monitoring and forecasting natural hazards with earth observation data.
• July 1, 2023: I’ll be acting as a Programme Committee for the 32nd International Conference on Artificial Neural Networks (ICANN).
• May 4, 2023: Our project Pluto has been selected for the International Research Center on Artificial Intelligence under the auspices of UNESCO Global Top 100 list 2022-23.
• April 1, 2023: I’ll be joining Mila - Quebec AI Institute as a research intern for the next 8 months.
• November 18, 2022: Our work Benchmarking and scaling of deep learning models for land cover image classification has been accepted for publication in ISPRS Journal of Photogrammetry and Remote Sensing.
• September 1, 2022: I join the AI4EO Future Lab of the Technical University of Munich as a Beyond Fellow.
• June 19, 2022: Our work Hephaestus: A large scale multitask dataset towards InSAR understanding has been published at the Computer Vision and Pattern Recognition (CVPR) workshop EarthVision.
• June 8, 2022: Our paper Learning From Synthetic InSAR With Vision Transformers: The Case of Volcanic Unrest Detection has been published in IEEE journal Transactions on Geoscience and Remote Sensing.
• August 19, 2021: Our paper Self-Supervised Contrastive Learning for Volcanic Unrest Detection has been published in IEEE journal Geoscience and Remote Sensing Letters.
• January 1, 2021: I join the Orion Lab of the National Observatory of Athens as a PhD candidate.