| Prithvi-eo-2.0: A versatile multi-temporal foundation model for earth observation applications D Szwarcman, S Roy, P Fraccaro, OE Gíslason, B Blumenstiel, R Ghosal, ... IEEE Transactions on Geoscience and Remote Sensing, 2025 | 89 | 2025 |
| Terramind: Large-scale generative multimodality for earth observation J Jakubik, F Yang, B Blumenstiel, E Scheurer, R Sedona, ... arXiv preprint arXiv:2504.11171, 2025 | 34 | 2025 |
| What a mess: Multi-domain evaluation of zero-shot semantic segmentation B Blumenstiel, J Jakubik, H Kühne, M Vössing Advances in Neural Information Processing Systems 36, 73299-73311, 2023 | 32 | 2023 |
| Multi-spectral remote sensing image retrieval using geospatial foundation models B Blumenstiel, V Moor, R Kienzler, T Brunschwiler IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium …, 2024 | 10 | 2024 |
| Designing a human-in-the-loop system for object detection in floor plans J Jakubik, P Hemmer, M Vössing, B Blumenstiel, A Bartos, K Mohr Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12524 …, 2022 | 9 | 2022 |
| Terramesh: A planetary mosaic of multimodal earth observation data B Blumenstiel, P Fraccaro, V Marsocci, J Jakubik, S Maurogiovanni, ... Proceedings of the Computer Vision and Pattern Recognition Conference, 2394-2402, 2025 | 8 | 2025 |
| Ssl4eo-s12 v1. 1: A multimodal, multiseasonal dataset for pretraining, updated B Blumenstiel, NAA Braham, CM Albrecht, S Maurogiovanni, P Fraccaro arXiv preprint arXiv:2503.00168, 2025 | 7 | 2025 |
| Instance selection mechanisms for human-in-the-loop systems in few-shot learning J Jakubik, B Blumenstiel, M Vössing, P Hemmer arXiv preprint arXiv:2207.06835, 2022 | 7 | 2022 |
| Beyond the visible: Multispectral vision-language learning for earth observation CT Marimo, B Blumenstiel, M Nitsche, J Jakubik, T Brunschwiler Joint European Conference on Machine Learning and Knowledge Discovery in …, 2025 | 6 | 2025 |
| Fine-tune smarter, not harder: parameter-efficient fine-tuning for geospatial foundation models F Marti Escofet, B Blumenstiel, L Scheibenreif, P Fraccaro, K Schindler Joint European Conference on Machine Learning and Knowledge Discovery in …, 2025 | 5 | 2025 |
| TerraTorch: The Geospatial Foundation Models Toolkit C Gomes, B Blumenstiel, JLS Almeida, PH de Oliveira, P Fraccaro, ... arXiv preprint arXiv:2503.20563, 2025 | 5 | 2025 |
| Hyperspectral vision transformers for greenhouse gas estimations from space RG Avilés, L Scheibenreif, NAA Braham, B Blumenstiel, T Brunschwiler, ... arXiv preprint arXiv:2504.16851, 2025 | 2 | 2025 |
| 4 Akzeptanz und Marktdurchdringung von KI in der Bauwirtschaft....... 63 D Cisterna, S Haghsheno, Y Zhong, S Hempel, A Geiger, C Emunds, ... | 2 | 2024 |
| Tensorbank: Tensor lakehouse for foundation model training R Kienzler, J Schmude, N Simumba, B Blumenstiel, M Freitag, D Kimura, ... 2023 IEEE International Conference on Big Data (BigData), 3350-3354, 2023 | 2 | 2023 |
| Object Detection in Floor Plans: Lessons From Designing a Human-in-the-Loop System P Hemmer, M Vössing, B Blumenstiel Artificial Intelligence in Architecture, Engineering and Construction (2021 …, 2021 | 2 | 2021 |
| FAST-EO: Multi-Modal Foundation Models for Scalable Earth Observation and Earth Sciences RS Kuzu, T Brunschwiler, G Cavallaro, J Nalepa, CO Dumitru, ... | 1 | 2025 |
| Ms-clip: Multi-spectral vision language learning for earth observation J Jakubik, B Blumenstiel, CT Marimo American Geophysical Union Fall Meeting, 2024 | 1 | 2024 |
| 4M4EO–Massively Multi-Modal Masked Autoencoders for Earth Observation J Jakubik, B Blumenstiel, S Maurogiovanni, P Fraccaro, R Sedona, ... American Geophysical Union Fall Meeting, 2024 | 1 | 2024 |
| Hyperspectral foundation model trained by spectral reconstruction for greenhouse gas emission estimation R Bangalore, R Gonzalez, T Brunschwiler, P Fraccaro, B Blumenstiel, ... | 1 | 2024 |
| Fine-Tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models B Blumenstiel, L Scheibenreif, P Fraccaro, K Schindler | | 2026 |