Publications

Below is a short, hand‑curated list. For a complete list, see Google Scholar.

2025

Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation
Joëlle Hanna, Damian Borth
ICCV 2025 · paper · code
BibTeX
@InProceedings{Hanna_2025_ICCV,
    author    = {Hanna, Jo\"elle and Borth, Damian},
    title     = {Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation},
    booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
    month     = {October},
    year      = {2025},
    pages     = {23763-23772}
}
SAR-to-RGB Translation with Latent Diffusion for Earth Observation
Kaan Aydin, Joëlle Hanna, Damian Borth
arxiv · paper
BibTeX
@article{Aydin2025SARtoRGBTW,
  title={SAR-to-RGB Translation with Latent Diffusion for Earth Observation},
  author={Kaan Aydin and Joelle Hanna and Damian Borth},
  journal={ArXiv},
  year={2025},
  volume={abs/2504.11154},
  url={https://api.semanticscholar.org/CorpusID:277787415}
}

2024

Neural plasticity-inspired foundation model for observing the earth crossing modalities
Zhitong Xiong, Yi Wang, Fahong Zhang, Adam J Stewart, Joëlle Hanna, Damian Borth, Ioannis Papoutsis, Bertrand Le Saux, Gustau Camps-Valls, Xiao Xiang Zhu
CoRR 2024 · paper · code
BibTeX
@article{Xiong2024NeuralPF,
  title={Neural Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities},
  author={Zhitong Xiong and Yi Wang and Fahong Zhang and Adam J. Stewart and Joelle Hanna and Damian Borth and Ioannis Papoutsis and Bertrand Le Saux and Gustau Camps-Valls and Xiao Xiang Zhu},
  journal={ArXiv},
  year={2024},
  volume={abs/2403.15356},
  url={https://api.semanticscholar.org/CorpusID:271708675}
}

2023

Ben-Ge: Extending Bigearthnet with Geographical and Environmental Data.
Michael Mommert, Nicolas Kesseli, Joëlle Hanna, Linus Scheibenreif, Damian Borth, Begüm Demir
IGARSS 2023 - IEEE International Geoscience and Remote Sensing Symposium · paper · code
BibTeX
@article{Mommert2023BenGeEB,
      title={Ben-Ge: Extending Bigearthnet with Geographical and Environmental Data},
      author={Michael Mommert and Nicolas Kesseli and Joelle Hanna and Linus Scheibenreif and Damian Borth and Beg{\"u}m Demir},
      journal={IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium},
      year={2023},
      pages={1016-1019},
      url={https://api.semanticscholar.org/CorpusID:259342658}
    }
Physics-Guided Multitask Learning for Estimating Power Generation and CO2 Emissions From Satellite Imagery
Joëlle Hanna, Michael Mommert, Damian Borth
IEEE Transactions on Geoscience and Remote Sensing · paper · code
BibTeX
@article{Hanna2023PhysicsGuidedML,
      title={Physics-Guided Multitask Learning for Estimating Power Generation and CO2 Emissions From Satellite Imagery},
      author={Joelle Hanna and Damian Borth and Michael Mommert},
      journal={IEEE Transactions on Geoscience and Remote Sensing},
      year={2023},
      volume={61},
      pages={1-12},
      url={https://api.semanticscholar.org/CorpusID:259300032}
    }
Sparse multimodal vision transformer for weakly supervised semantic segmentation
Joëlle Hanna, Michael Mommert, Damian Borth
CVPR EarthVision Workshop · paper · code
BibTeX
@article{Hanna2023SparseMV,
  title={Sparse Multimodal Vision Transformer for Weakly Supervised Semantic Segmentation},
  author={Joelle Hanna and Michael Mommert and Damian Borth},
  journal={2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
  year={2023},
  pages={2145-2154},
  url={https://api.semanticscholar.org/CorpusID:260911594}}

2022

Self-supervised vision transformers for land-cover segmentation and classification.
Joëlle Hanna, Linus Scheibenreif, Michael Mommert, Damian Borth
CVPR EarthVision Workshop · paper · code
BibTeX
@article{Scheibenreif2022SelfsupervisedVT,
  title={Self-supervised Vision Transformers for Land-cover Segmentation and Classification},
  author={Linus Scheibenreif and Joelle Hanna and Michael Mommert and Damian Borth},
  journal={2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
  year={2022},
  pages={1421-1430},
  url={https://api.semanticscholar.org/CorpusID:249916739}
}

2021

Multitask Learning for Estimating Power Plant Greenhouse Gas Emissions from Satellite Imagery
Joëlle Hanna, Michael Mommert, Linus Scheibenreif, Damian Borth
NeurIPS Workshop: Tackling climate change with machine learning · paper · code
BibTeX
@inproceedings{hanna2021multitask,
  title={Multitask learning for estimating power plant greenhouse gas emissions from satellite imagery},
  author={Hanna, Jo{\"e}lle and Mommert, Michael and Scheibenreif, Linus Mathias and Borth, Damian},
  year={2021},
  organization={Tackling Climate Change with Machine Learning workshop at NeurIPS.}
}
Power plant classification from remote imaging with deep learning
Michael Mommert, Linus Scheibenreif, Joëlle Hanna, Damian Borth
IGARSS 2021 - IEEE International Geoscience and Remote Sensing Symposium · paper
BibTeX
@article{Mommert2021PowerPC,
  title={Power Plant Classification from Remote Imaging with Deep Learning},
  author={Michael Mommert and Linus Scheibenreif and Joelle Hanna and Damian Borth},
  journal={2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS},
  year={2021},
  pages={6391-6394},
  url={https://api.semanticscholar.org/CorpusID:236318275}
}

2020

What is trending on Wikipedia? capturing trends and language biases across Wikipedia editions
Volodymyr Miz, Joëlle Hanna, Nicolas Aspert, Benjamin Ricaud, Pierre Vandergheynst
Companion proceedings of the Web conference 2020 · paper
BibTeX
@article{Miz2020WhatIT,
  title={What is Trending on Wikipedia? Capturing Trends and Language Biases Across Wikipedia Editions},
  author={Volodymyr Miz and Joelle Hanna and Nicolas Aspert and Benjamin Ricaud and Pierre Vandergheynst},
  journal={Companion Proceedings of the Web Conference 2020},
  year={2020},
  url={https://api.semanticscholar.org/CorpusID:211133022}
}