Linus Scheibenreif

Orcid: 0000-0001-5580-8910

According to our database1, Linus Scheibenreif authored at least 26 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
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Links

On csauthors.net:

Bibliography

2025
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models.
CoRR, July, 2025

Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models.
CoRR, April, 2025

Dense Air Pollution Estimation from Sparse in-situ Measurements and Satellite Data.
CoRR, April, 2025

Hyperspectral Vision Transformers for Greenhouse Gas Estimations from Space.
CoRR, April, 2025

2024
Less is More: Active Self-Supervised Learning in Remote Sensing.
Proceedings of the IGARSS 2024, 2024

Merging Patches and Tokens: A VQA System for Remote Sensing.
Proceedings of the IGARSS 2024, 2024

Parameter Efficient Self-Supervised Geospatial Domain Adaptation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
ben-ge/ERA-5: BigEarthNet Extended with Geographical and Environmental Data/Environmental Data.
Dataset, December, 2023

ben-ge-8k: BigEarthNet Extended with Geographical and Environmental Data.
Dataset, July, 2023

ben-ge/ESAWorldCover: BigEarthNet Extended with Geographical and Environmental Data/Land-use/land-cover Data.
Dataset, July, 2023

ben-ge/DEM: BigEarthNet Extended with Geographical and Environmental Data/Elevation Data.
Dataset, July, 2023

ben-ge/ERA-5: BigEarthNet Extended with Geographical and Environmental Data/Environmental Data.
Dataset, July, 2023

Ben-Ge: Extending Bigearthnet with Geographical and Environmental Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Dataset Distillation for Eurosat.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Eurosat Model Zoo: A Dataset and Benchmark on Populations of Neural Networks and Its Sparsified Model Twins.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Self Supervised Learning in Remote Sensing: Quantifying Approaches Effectiveness Across Downstream Tasks.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Masked Vision Transformers for Hyperspectral Image Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Toward Global Estimation of Ground-Level NO<sub>2</sub> Pollution With Deep Learning and Remote Sensing.
IEEE Trans. Geosci. Remote. Sens., 2022

A Multimodal Approach for Event Detection: Study of UK Lockdowns in the Year 2020.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Self-supervised Vision Transformers for Land-cover Segmentation and Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Invariant Risk Minimisation for Cross-Organism Inference: Substituting Mouse Data for Human Data in Human Risk Factor Discovery.
CoRR, 2021

Estimation of Air Pollution with Remote Sensing Data: Revealing Greenhouse Gas Emissions from Space.
CoRR, 2021

A Novel Dataset and Benchmark for Surface No2 Prediction from Remote Sensing Data Including Covid Lockdown Measures.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Power Plant Classification from Remote Imaging with Deep Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Characterization of Industrial Smoke Plumes from Remote Sensing Data.
CoRR, 2020

2019
FunFam protein families improve residue level molecular function prediction.
BMC Bioinform., 2019


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