Linus Scheibenreif

According to our database, Linus Scheibenreif authored at least 17 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Less is More: Active Self-Supervised Learning in Remote Sensing.

Xuemei Jiang, Linus Scheibenreif, Damian Borth

Proceedings of the IGARSS 2024, 2024

Merging Patches and Tokens: A VQA System for Remote Sensing.

Damian Falk, Kaan Aydin, Linus Scheibenreif, Damian Borth

Proceedings of the IGARSS 2024, 2024

Parameter Efficient Self-Supervised Geospatial Domain Adaptation.

Linus Scheibenreif, Michael Mommert, Damian Borth

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Ben-Ge: Extending Bigearthnet with Geographical and Environmental Data.

Michael Mommert, Nicolas Kesseli, Joëlle Hanna, Linus Scheibenreif, Damian Borth, Begüm Demir

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Dataset Distillation for Eurosat.

Julius Lautz, Daniel Leal, Linus Scheibenreif, Damian Borth, Michael Mommert

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.

Dominik Honegger, Konstantin Schürholt, Linus Scheibenreif, Damian Borth

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Self Supervised Learning in Remote Sensing: Quantifying Approaches Effectiveness Across Downstream Tasks.

Marc Grau, Alexander Lontke, Xuemei Jiang, Linus Scheibenreif

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Masked Vision Transformers for Hyperspectral Image Classification.

Linus Scheibenreif, Michael Mommert, Damian Borth

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Toward Global Estimation of Ground-Level NO₂ Pollution With Deep Learning and Remote Sensing.

Linus Scheibenreif, Michael Mommert, Damian Borth

IEEE Trans. Geosci. Remote. Sens., 2022

A Multimodal Approach for Event Detection: Study of UK Lockdowns in the Year 2020.

Joëlle Hanna, Linus Scheibenreif, Michael Mommert, Damian Borth

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Self-supervised Vision Transformers for Land-cover Segmentation and Classification.

Linus Scheibenreif, Joëlle Hanna, Michael Mommert, Damian Borth

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.

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

CoRR, 2021

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

Linus Scheibenreif, Michael Mommert, Damian Borth

CoRR, 2021

A Novel Dataset and Benchmark for Surface No2 Prediction from Remote Sensing Data Including Covid Lockdown Measures.

Linus Scheibenreif, Michael Mommert, Damian Borth

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Power Plant Classification from Remote Imaging with Deep Learning.

Michael Mommert, Linus Scheibenreif, Joëlle Hanna, Damian Borth

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020

Characterization of Industrial Smoke Plumes from Remote Sensing Data.

Michael Mommert, Mario Sigel, Marcel Neuhausler, Linus Scheibenreif, Damian Borth

CoRR, 2020

2019

FunFam protein families improve residue level molecular function prediction.

Linus Scheibenreif, Maria Littmann, Christine A. Orengo, Burkhard Rost

BMC Bioinform., 2019