Machine Learning for Computer Vision Faculty of Computer Science TU Dresden
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Publications

Peer-Reviewed Journal Articles

Irmai J., Zhao S., Schöne M., Presberger J. and Andres B. A Graph Multi-separator Problem for Image Segmentation. Journal of Mathematical Imaging and Vision 66(5):839-872, 2024 
@misc{irmai-2023-separator,
    author = {Jannik Irmai 
        and Shengxian Zhao 
        ans Mark Sch\"one
        and Jannik Presberger 
        and Bjoern Andres},
    title = {A Graph Multi-separator Problem for Image Segmentation},
    journal = {Journal of Mathematical Imaging and Vision},
    volume = {66},
    number = {5},
    pages = {839--872},
    year = {2024},
    doi = {10.1007/s10851-024-01201-1},
}
🗎 01
Andres B., Di Gregorio S., Irmai J. and Lange J.-H. A Polyhedral Study of Lifted Multicuts. Discrete Optimization 47:100757, 2023 
@article{andres-2023-a-polyhedral,
    author = {Bjoern Andres and Silvia {Di Gregorio} and Jannik Irmai and Jan-Hendrik Lange},
    title = {A polyhedral study of lifted multicuts},
    journal = {Discrete Optimization},
    volume = {47},
    pages = {100757},
    year = {2023},
    doi = {10.1016/j.disopt.2022.100757},
}
Levinkov E., Kardoost A., Andres B. and Keuper M. Higher-Order Multicuts for Geometric Model Fitting and Motion Segmentation. Transactions on Pattern Analysis and Machine Intelligence 45(1):608-622, 2023 
@article{levinkov-2022,
    author = {Levinkov, Evgeny and Kardoost, Amirhossein and Andres, Bjoern and Keuper, Margret},
    journal = {Transactions on Pattern Analysis and Machine Intelligence}, 
    title = {Higher-Order Multicuts for Geometric Model Fitting and Motion Segmentation}, 
    year = {2023},
    volume = {45},
    number = {1},
    pages = {608--622},
    doi = {10.1109/TPAMI.2022.3148795},
}
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Del Pia A. and Di Gregorio S. On the complexity of binary polynomial optimization over acyclic hypergraphs. Algorithmica 85(8):2189-2213, 2023
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Buchheim C., Henke D. and Irmai J. The Stochastic Bilevel Continuous Knapsack Problem with Uncertain Follower's Objective. Journal of Optimization Theory and Applications 194(2):521-542, 2022
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Peer-Reviewed Conference Articles

Presberger J., Keshara R., Stein D., Kim Y. H., Grapin-Botton A. and Andres B. Correlation Clustering of Organoid Images. German Conference on Pattern Recognition (GCPR) 2024 (accepted) 
@misc{presberger-2024-organoids,
    author = {Jannik Presberger
        and Rashmiparvathi Keshara
        and David Stein
        and Yung Hae Kim
        and Anne Grapin-Botton
        and Bjoern Andres},
    title = {Correlation Clustering of Organoid Images},
    year = {2024},
    eprint = {2403.13376},
    archivePrefix = {arXiv},
    url = {https://arxiv.org/abs/2403.13376},
}
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Irmai J. and Andres B. A State-of-the-Art Cutting Plane Algorithm for Clique Partitioning. German Conference on Pattern Recognition (GCPR) 2024 (accepted)
Naumann L. F., Irmai J., Zhao S. and Andres B. Box Facets and Cut Facets of Lifted Multicut Polytopes. International Conference on Machine Learning (ICML) 2024 
@inproceedings{naumann-2024-cut,
    author = {Lucas Fabian Naumann 
        and Jannik Irmai 
        and Shengxian Zhao 
        and Bjoern Andres},
    title = {Box Facets and Cut Facets of Lifted Multicut Polytopes},
    booktitle = {ICML},
    year = {2024},
    url = {https://proceedings.mlr.press/v235/naumann24a.html},
}
🗎
Stein D. and Andres B. Partial Optimality in the Linear Ordering Problem. International Conference on Machine Learning (ICML) 2024 
@Inproceedings{stein-2024-partial,
    author = {David Stein and Bjoern Andres},
    title = {Partial Optimality in the Linear Ordering Problem},
    booktitle = {ICML},
    year = {2024},
    url = {https://proceedings.mlr.press/v235/stein24a.html},
}
🗎 01
Heidrich H., Irmai J. and Andres B. A 4-Approximation Algorithm for Min Max Correlation Clustering. International Conference on Artificial Intelligence and Statistics (AISTATS) 2024
@inproceedings{heidrich-2024,
    author = {Heidrich, Holger and Irmai, Jannik and Andres, Bjoern},
    title = {A 4-Approximation Algorithm for Min Max Correlation Clustering},
    booktitle = {AISTATS},
    year = {2024},
    url = {https://proceedings.mlr.press/v238/heidrich24a.html},
}
🗎 01
Stein D., Di Gregorio S. and Andres B. Partial Optimality in Cubic Correlation Clustering. International Conference on Machine Learning (ICML) 2023
@inproceedings{stein-2023-partial,
    author = {David Stein and Silvia Di Gregorio and Bjoern Andres},
    title = {Partial Optimality in Cubic Correlation Clustering},
    booktitle = {ICML},
    year = {2023},
    url = {https://proceedings.mlr.press/v202/stein23a.html},
}
🗎 01
Stein D. and Andres B. Correlation Clustering of Bird Sounds. German Conference on Pattern Recognition (GCPR) 2023
@inproceedings{stein-2023-correlation,
    author = {David Stein and Bjoern Andres},
    title = {Correlation Clustering of Bird Sounds},
    year = {2023},
    booktitle = {German Conference on Pattern Recognition (GCPR)},
    doi = {10.1007/978-3-031-54605-1_33},
}
🗎 01
Del Pia A. and Di Gregorio S. On the complexity of binary polynomial optimization over acyclic hypergraphs. Symposium on Discrete Algorithms (SODA) 2022
🗎

Peer-Reviewed Workshop Articles

Stein D. and Andres B. Fine-tuning for Bird Sound Classification: An Empirical Study. Computer Vision For Ecology Workshop at ECCV 2024 (accepted)
Sekuboyina A., Irmai J., Shit S., Kirschke J., Andres B. and Menze B. H. Pushing the limits of an FCN and a CRF towards near-ideal vertebrae labelling. International Symposium on Biomedical Imaging (ISBI) 2023

Conference Proceedings as Editor

Andres B., Bernard F., Cremers D., Frintrop S., Goldlücke B., and Ihrke I., Eds. Pattern Recognition, Proceedings of the 44th German Conference, vol. 13485, LNCS, Berlin, Germany: Springer, 2022. 
@proceedings{andres-2022-gcpr-proceedings,
    editor = {Bjoern Andres and Florian Bernard and Daniel Cremers and Simone Frintrop and Bastian Goldl\"ucke and Ivo Ihrke},
    title = {Pattern Recognition, Proceedings of the 44th German Conference},
    year = {2022},
    volume = {13485},
    series = {Lecture Notes in Computer Science},
    publisher = {Springer},
    address = {Berlin, Germany},
}
Andres B., Campen M. and Sedlmair M., Eds. 26th International Symposium on Vision, Modeling, and Visualization (VMV). Eurographics Association 2021
@proceedings{andres-2021-vmv,
  editor    = {Bjoern Andres and Marcel Campen and Michael Sedlmair},
  title     = {26th International Symposium on Vision, Modeling, and Visualization,
               {VMV} 2021, Virtual Event / Technische Universit{\"{a}}t Dresden,
               Germany, September 27-28, 2021},
  publisher = {Eurographics Association},
  year      = {2021},
  url       = {https://diglib.eg.org/handle/10.2312/2633087},
}

Technical Reports

Irmai J., Naumann L. F. and Andres B. Chorded Cycle Facets of Clique Partitioning Polytopes. arXiv 2024 
@misc{swoboda-2024-structured,
    author = {Jannik Irmai and Lucas Fabian Naumann and Bjoern Andres},
    title = {Chorded Cycle Facets of Clique Partitioning Polytopes},
    year = {2024},
    eprint = {2411.03407},
    archivePrefix = {arXiv},
    url = {https://www.arxiv.org/abs/2411.03407},
}
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Swoboda P., Andres B., Hornakova A., Bernard F., Irmai J., Roetzer P., Savchynskyy B., Stein D., Abbas A. Structured Prediction Problem Archive. arXiv 2024 
@misc{swoboda-2024-structured,
    author = {Paul Swoboda 
        and Bjoern Andres 
        and Andrea Hornakova 
        and Florian Bernard 
        and Jannik Irmai 
        and Paul Roetzer 
        and Bogdan Savchynskyy 
        and David Stein 
        and Ahmed Abbas},
    title = {Structured Prediction Problem Archive},
    year = {2024},
    eprint = {2202.03574},
    archivePrefix = {arXiv},
    url = {https://arxiv.org/abs/2202.03574},
}
🗎
Stein D. and Andres B. Inapproximability of a Pair of Forms Defining a Partial Boolean Function. arXiv 2022
@article{lange-2017-trees,
  author = {David Stein and Bjoern Andres},
  title = {Inapproximability of Minimizing a Pair of DNFs or Binary Decision Trees Defining a Partial Boolean Function},
  journal = {CoRR},
  volume = {abs/2102.04703},
  year = {2021},
  url = {http://arxiv.org/abs/2102.04703},
}
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