Michael Mommert

22 papers A* 1C 8Journal 9Unranked 4
YearRankTypeTitle / Venue / Authors
2025 — conf
FineAir: Finest-grained Airplanes in High-resolution Satellite Images.
WACV (Workshops)
Murat Osswald, Louis Niederlohner, Sascha Köjer, Tobias Ziedorn, Valerio Gulli, Michael Mommert, Helmut Mayer
2024 C conf
Advanced Prediction of Soil Organic Carbon: A Hybrid Transformer Network with Cost-Sensitive Learning Using Remote Sensing and Climate Data.
IGARSS
Nafiseh Kakhani, Michael Mommert, Thomas Scholten
2024 C conf
Multi-Modal Diffusion for Self-Supervised Pretraining.
IGARSS
Alexander Lontke, Michael Mommert, Damian Borth
2024 A* conf
Parameter Efficient Self-Supervised Geospatial Domain Adaptation.
CVPR
Linus Scheibenreif, Michael Mommert, Damian Borth
2024 J jnl
SSL-SoilNet: A Hybrid Transformer-Based Framework With Self-Supervised Learning for Large-Scale Soil Organic Carbon Prediction.
IEEE Trans. Geosci. Remote. Sens.
Nafiseh Kakhani, Moien Rangzan, Ali Jamali, Sara Attarchi, Seyed Kazem Alavipanah, Michael Mommert, Nikolaos Tziolas, Thomas Scholten
2023 C conf
Ben-Ge: Extending Bigearthnet with Geographical and Environmental Data.
IGARSS
Michael Mommert, Nicolas Kesseli, Joëlle Hanna, Linus Scheibenreif, Damian Borth, Begüm Demir
2023 J jnl
Ben-ge: Extending BigEarthNet with Geographical and Environmental Data.
CoRR
Michael Mommert, Nicolas Kesseli, Joëlle Hanna, Linus Scheibenreif, Damian Borth, Begüm Demir
2023 C conf
Dataset Distillation for Eurosat.
IGARSS
Julius Lautz, Daniel Leal, Linus Scheibenreif, Damian Borth, Michael Mommert
2023 — conf
Masked Vision Transformers for Hyperspectral Image Classification.
CVPR Workshops
Linus Scheibenreif, Michael Mommert, Damian Borth
2023 J jnl
Physics-Guided Multitask Learning for Estimating Power Generation and CO
IEEE Trans. Geosci. Remote. Sens.
Joëlle Hanna, Damian Borth, Michael Mommert
2023 — conf
Sparse Multimodal Vision Transformer for Weakly Supervised Semantic Segmentation.
CVPR Workshops
Joëlle Hanna, Michael Mommert, Damian Borth
2022 C conf
A Multimodal Approach for Event Detection: Study of UK Lockdowns in the Year 2020.
IGARSS
Joëlle Hanna, Linus Scheibenreif, Michael Mommert, Damian Borth
2022 — conf
Self-supervised Vision Transformers for Land-cover Segmentation and Classification.
CVPR Workshops
Linus Scheibenreif, Joëlle Hanna, Michael Mommert, Damian Borth
2022 J jnl
Toward Global Estimation of Ground-Level NO
IEEE Trans. Geosci. Remote. Sens.
Linus Scheibenreif, Michael Mommert, Damian Borth
2022 C conf
Traffic Noise Estimation from Satellite Imagery with Deep Learning.
IGARSS
Leonardo Eicher, Michael Mommert, Damian Borth
2021 C conf
A Novel Dataset and Benchmark for Surface No2 Prediction from Remote Sensing Data Including Covid Lockdown Measures.
IGARSS
Linus Scheibenreif, Michael Mommert, Damian Borth
2021 J jnl
Estimation of Air Pollution with Remote Sensing Data: Revealing Greenhouse Gas Emissions from Space.
CoRR
Linus Scheibenreif, Michael Mommert, Damian Borth
2021 C conf
Power Plant Classification from Remote Imaging with Deep Learning.
IGARSS
Michael Mommert, Linus Scheibenreif, Joëlle Hanna, Damian Borth
2021 J jnl
Power Plant Classification from Remote Imaging with Deep Learning.
CoRR
Michael Mommert, Linus Scheibenreif, Joëlle Hanna, Damian Borth
2020 J jnl
Characterization of Industrial Smoke Plumes from Remote Sensing Data.
CoRR
Michael Mommert, Mario Sigel, Marcel Neuhausler, Linus Scheibenreif, Damian Borth
2019 J jnl
sbpy: A Python module for small-body planetary astronomy.
J. Open Source Softw.
Michael Mommert, Michael S. P. Kelley, Miguel de Val-Borro, Jian-Yang Li, Giannina Guzman, Brigitta M. Sipocz, Josef Durech, Mikael Granvik, William S. Noble, Nick Moskovitz, Antti Penttilä, Nalin Samarasinha
2017 J jnl
PHOTOMETRYPIPELINE: An automated pipeline for calibrated photometry.
Astron. Comput.
Michael Mommert