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@inproceedings{Toker_2022_CVPR,
author = {A Toker and L Kondmann and M Weber and M Eisenberger and C Andres and J Hu and A Hoderlein and C Senaras and T Davis and D Cremers and G Marchisio and X Zhu and L Leal-Taixe},
title = {DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
titleurl = {toker-et-al-cvpr22.pdf},
year = {2022},
}
@inproceedings{eisenberger2019divfree,
author = {M. Eisenberger and Z. Lähner and D. Cremers},
title = {Divergence-Free Shape Correspondence by Deformation},
booktitle = {Computer Graphics Forum},
year = {2019},
volume = {38},
number = {5},
pages = {1-12},
month = {July},
keywords = { Geometry Processing },
}
@inproceedings{eisenberger2019smoothshells,
author = {M. Eisenberger and Z. Lähner and D. Cremers},
title = {Smooth Shells: Multi-Scale Shape Registration with Functional Maps},
booktitle = {IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2020},
award = {Oral Presentation},
keywords = { Geometry Processing },
}
@inproceedings{eisenberger2020hamiltonian,
author = {M. Eisenberger and D. Cremers},
title = {Hamiltonian Dynamics for Real-World Shape Interpolation},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2020},
award = {Spotlight Presentation},
keywords = {Shape Analysis, Geometry Processing},
}
@inproceedings{eisenberger2020deepshells,
author = {M. Eisenberger and A. Toker and L. Leal-Taixé and D. Cremers},
title = {Deep Shells: Unsupervised Shape Correspondence with Optimal Transport},
booktitle = {34th Conference on Neural Information Processing Systems (NeurIPS)},
year = {2020},
}
@inproceedings{eisenberger2021neuromorph,
author = {M. Eisenberger and D. Novotny and G. Kerchenbaum and P. Labatut and N. Neverova and D. Cremers and A. Vedaldi},
title = {NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go},
booktitle = {IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2021},
}
@inproceedings{eisenberger2022unified,
author = {M. Eisenberger and A. Toker and L. Leal-Taixé and F. Bernard and D. Cremers},
title = {A Unified Framework for Implicit Sinkhorn Differentiation},
booktitle = {IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2022},
}
@inproceedings{eisenberger2023gmsm,
author = {M. Eisenberger and A. Toker and L. Leal-Taixé and D. Cremers},
title = {G-MSM: Unsupervised Multi-Shape Matching with Graph-based Affinity Priors},
booktitle = {IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2023},
}
@article{saroha2022implicit,
title = {Implicit Shape Completion via Adversarial Shape Priors},
author = {A Saroha and M Eisenberger and T Yenamandra and D Cremers},
journal = {arXiv preprint arXiv:2204.10060},
year = {2022},
titleurl = {saroha2022implicit.png},
}
@inproceedings{koke2023resolvnet,
title = {ResolvNet: A Graph Convolutional Network with multi-scale Consistency},
author = {C Koke and A Saroha and Y Shen and M Eisenberger and D Cremers},
booktitle = {NeurIPS 2023 Workshop: New Frontiers in Graph Learning},
award = {Oral Presentation},
year = {2023},
eprint = {2310.00431},
eprinttype = {arXiv},
journal = {arXiv preprint arXiv:2306.02099primaryClass=cs.LG},
}
@inproceedings{gao2023sigma,
author = {M Gao and P Roetzer and M Eisenberger and Z Lähner and M Moeller and D Cremers and F Bernard},
title = { {SIGMA}: Quantum Scale-Invariant Global Sparse Shape Matching},
booktitle = {International Conference on Computer Vision (ICCV)},
year = {2023},
keywords = {Shape Analysis, Geometry Processing, Global Optimisation, Mixed-Integer Programming, Laplace-Betrami},
}
@article{ehm2023geometrically,
title = {Geometrically Consistent Partial Shape Matching},
author = {V Ehm and P Roetzer and M Eisenberger and M Gao and F Bernard and D Cremers},
journal = {arXiv preprint arXiv:2309.05013},
titleurl = {2023_ehm_geo_cons.png},
year = {2023},
}