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Author

Linus Scheibenreif

Observed names: L. Scheibenreif, Linus Mathias Scheibenreif, Scheibenreif, Linus, Scheibenreif, Linus Mathias
ORCID: 0000-0001-5580-8910
Observed ORCID: 0000-0001-5580-8910
OpenAlex ID: A5006658500
Self-supervised Vision Transformers for Land-cover Segmentation and Classification
2022 · Linus Scheibenreif, Joelle Hanna, et al. · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 132
Masked Vision Transformers for Hyperspectral Image Classification
2023 · Linus Scheibenreif, Michael Mommert, et al. · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 121
FunFam protein families improve residue level molecular function prediction
2019 · Linus Scheibenreif, Maria Littmann, et al. · BMC Bioinformatics · 41
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Toward Global Estimation of Ground-Level NO2 Pollution With Deep Learning and Remote Sensing
2022 · Linus Scheibenreif, Michael Mommert, et al. · IEEE Transactions on Geoscience and Remote Sensing · 36
Contrastive Self-supervised Data Fusion for Satellite Imagery
2022 · L. Scheibenreif, M. Mommert, et al. · ISPRS annals of the photogrammetry, remote sensing and spatial information sciences · 30
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Parameter Efficient Self-Supervised Geospatial Domain Adaptation
2024 · Linus Scheibenreif, Michael Mommert, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 27
Estimation of Air Pollution with Remote Sensing Data: Revealing Greenhouse Gas Emissions from Space
2021 · Scheibenreif, Linus, Mommert, Michael, et al. · arXiv (Cornell University) · 17
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Ben-Ge: Extending Bigearthnet with Geographical and Environmental Data
2023 · Michael Mommert, Nicolas Kesseli, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 15
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Characterization of Industrial Smoke Plumes from Remote Sensing Data
2020 · Mommert, Michael, Sigel, Mario, et al. · Alexandria (UniSG) (University of St.Gallen) · 13
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Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models
2025 · Marti-Escofet, Francesc, Blumenstiel, Benedikt, et al. · arXiv (Cornell University) · 7
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Power Plant Classification from Remote Imaging with Deep Learning
2021 · Michael Mommert, Linus Scheibenreif, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 6
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Eurosat Model Zoo: A Dataset and Benchmark on Populations of Neural Networks and Its Sparsified Model Twins
2023 · Dominik Honegger, Konstantin Schürholt, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 5
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models
2026 · Joelle Hanna, Linus Scheibenreif, et al. · IEEE Transactions on Geoscience and Remote Sensing · 4
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A Novel Dataset and Benchmark for Surface No2 Prediction from Remote Sensing Data Including Covid Lockdown Measures
2021 · Linus Scheibenreif, Michael Mommert, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 4
Hyperspectral Vision Transformers for Greenhouse Gas Estimations from Space
2025 · Avilés, Ruben Gonzalez, Scheibenreif, Linus, et al. · arXiv (Cornell University) · 3
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Multitask Learning for Estimating Power Plant Greenhouse Gas Emissions from Satellite Imagery
2021 · Hanna, Joëlle, Mommert, Michael, et al. · Alexandria (UniSG) (University of St.Gallen) · 3
The Potential of Copernicus Satellites for Disaster Response: Retrieving Building Damage from Sentinel-1 and Sentinel-2
2026 · Olivier Dietrich, Merlin Alfredsson, et al. · ISPRS annals of the photogrammetry, remote sensing and spatial information sciences · 2
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Self Supervised Learning in Remote Sensing: Quantifying Approaches Effectiveness Across Downstream Tasks
2023 · Marc Grau, Alexander Lontke, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 2
Estimation of Air Pollution with Remote Sensing Data: Revealing Greenhouse Gas Emissions from Space
2021 · Scheibenreif, Linus, Mommert, Michael, et al. · Alexandria (UniSG) (University of St.Gallen) · 2
Global forest typology at 10-meter resolution for forest and land-use monitoring
2026 · Maxim Neumann, Anton Raichuk, et al. · Scientific Data · 1
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From Machine Learning to Large-Scale EO Products: Good Practices and Guidelines for Making Maps
2026 · Sialelli, Ghjulia, Young, Robin, et al. · arXiv (Cornell University) · 1
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Forest Typology 2020 (v1)
2026 · Neumann, Maxim, Raichuk, Anton, et al. · Figshare · 1
Forest Typology 2020 (v1) Classification Layer
2026 · Neumann, Maxim, Raichuk, Anton, et al. · Figshare · 1
Less is More: Active Self-Supervised Learning in Remote Sensing
2024 · Xuemei Jiang, Linus Scheibenreif, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 1
Merging Patches and Tokens: A VQA System for Remote Sensing
2024 · Damian Falk, Kaan Aydin, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 1
Works count: 45
Citation count: 485
H-index: 9
I10-index: 9
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