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ORCIDLinus Scheibenreif
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2020 – today
- 2024
[c12]Linus Scheibenreif, Michael Mommert, Damian Borth:
Parameter Efficient Self-Supervised Geospatial Domain Adaptation. CVPR 2024: 27841-27851- [c11]Damian Falk, Kaan Aydin, Linus Scheibenreif, Damian Borth:
Merging Patches and Tokens: A VQA System for Remote Sensing. IGARSS 2024: 694-698 - [c10]Xuemei Jiang, Linus Scheibenreif, Damian Borth:
Less is More: Active Self-Supervised Learning in Remote Sensing. IGARSS 2024: 7025-7030 - 2023
- [c9]Linus Scheibenreif, Michael Mommert, Damian Borth:
Masked Vision Transformers for Hyperspectral Image Classification. CVPR Workshops 2023: 2166-2176 - [c8]Marc Grau, Alexander Lontke, Xuemei Jiang, Linus Scheibenreif:
Self Supervised Learning in Remote Sensing: Quantifying Approaches Effectiveness Across Downstream Tasks. IGARSS 2023: 518-521 - [c7]Julius Lautz, Daniel Leal, Linus Scheibenreif, Damian Borth, Michael Mommert:
Dataset Distillation for Eurosat. IGARSS 2023: 530-533 - [c6]Dominik Honegger, Konstantin Schürholt, Linus Scheibenreif, Damian Borth:
Eurosat Model Zoo: A Dataset and Benchmark on Populations of Neural Networks and Its Sparsified Model Twins. IGARSS 2023: 888-891 - [c5]Michael Mommert, Nicolas Kesseli, Joëlle Hanna, Linus Scheibenreif, Damian Borth, Begüm Demir:
Ben-Ge: Extending Bigearthnet with Geographical and Environmental Data. IGARSS 2023: 1016-1019 - [i5]Michael Mommert, Nicolas Kesseli, Joëlle Hanna, Linus Scheibenreif, Damian Borth, Begüm Demir:
Ben-ge: Extending BigEarthNet with Geographical and Environmental Data. CoRR abs/2307.01741 (2023) - 2022
- [j2]Linus Scheibenreif
, Michael Mommert, Damian Borth:
Toward Global Estimation of Ground-Level NO2 Pollution With Deep Learning and Remote Sensing. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [c4]Linus Scheibenreif, Joëlle Hanna, Michael Mommert, Damian Borth:
Self-supervised Vision Transformers for Land-cover Segmentation and Classification. CVPR Workshops 2022: 1421-1430 - [c3]Joëlle Hanna, Linus Scheibenreif, Michael Mommert, Damian Borth:
A Multimodal Approach for Event Detection: Study of UK Lockdowns in the Year 2020. IGARSS 2022: 715-718 - 2021
- [c2]Michael Mommert, Linus Scheibenreif, Joëlle Hanna, Damian Borth:
Power Plant Classification from Remote Imaging with Deep Learning. IGARSS 2021: 6391-6394 - [c1]Linus Scheibenreif, Michael Mommert, Damian Borth:
A Novel Dataset and Benchmark for Surface No2 Prediction from Remote Sensing Data Including Covid Lockdown Measures. IGARSS 2021: 8364-8367 - [i4]Michael Mommert, Linus Scheibenreif, Joëlle Hanna, Damian Borth:
Power Plant Classification from Remote Imaging with Deep Learning. CoRR abs/2107.10894 (2021) - [i3]Linus Scheibenreif, Michael Mommert, Damian Borth:
Estimation of Air Pollution with Remote Sensing Data: Revealing Greenhouse Gas Emissions from Space. CoRR abs/2108.13902 (2021) - [i2]Odhran O'Donoghue, Paul Duckworth, Giuseppe Ughi, Linus Scheibenreif, Kia Khezeli, Adrienne Hoarfrost, Samuel Budd, Patrick Foley, Nicholas Chia, John Kalantari, Graham Mackintosh, Frank Soboczenski, Lauren M. Sanders:
Invariant Risk Minimisation for Cross-Organism Inference: Substituting Mouse Data for Human Data in Human Risk Factor Discovery. CoRR abs/2111.07348 (2021) - 2020
- [i1]Michael Mommert, Mario Sigel, Marcel Neuhausler, Linus Scheibenreif, Damian Borth:
Characterization of Industrial Smoke Plumes from Remote Sensing Data. CoRR abs/2011.11344 (2020)
2010 – 2019
- 2019
- [j1]Linus Scheibenreif, Maria Littmann, Christine A. Orengo, Burkhard Rost:
FunFam protein families improve residue level molecular function prediction. BMC Bioinform. 20(1): 400:1-400:9 (2019)
Coauthor Index
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