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@inproceedings{koestler2020learning,
 author = {L. Koestler and N. Yang and R. Wang and D. Cremers},
 title = {Learning Monocular 3D Vehicle Detection without 3D Bounding Box Labels},
 booktitle = {Proceedings of the German Conference on Pattern Recognition (GCPR)},
 year = {2020},
}

@inproceedings{koestler2021tandem,
 author = {L Koestler and N Yang and N Zeller and D Cremers},
 title = {TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo},
 booktitle = {Conference on Robot Learning (CoRL)},
 year = {2021},
 eprint = {2111.07418},
 eprinttype = {arXiv},
 award = {3DV'21 Best Demo Award},
 keywords = {tandem, odometry, VO, SLAM, vslam, dense reconstruction, mvs},
}

@inproceedings{muhle2022pnec,
 author = {D Muhle and L Koestler and N Demmel and F Bernard and D Cremers},
 title = {The Probabilistic Normal Epipolar Constraint for Frame-To-Frame Rotation Optimization under Uncertain Feature Positions},
 eprint = {2204.02256},
 eprinttype = {arXiv},
 eprintclass = {cs.CV},
 booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
 year = {2022},
 keywords = {pnec, vo, vslam},
}

@inproceedings{koestler2022intrinsic,
 author = {L Koestler and D Grittner and M Moeller and D Cremers and Z Lähner},
 title = {Intrinsic Neural Fields: Learning Functions on Manifolds},
 booktitle = {European Conference on Computer Vision (ECCV)},
 year = {2022},
 eprint = {2203.07967},
 eprinttype = {arXiv},
 keywords = {Neural Fields, Shape Analysis, Geometry Processing},
}

@inproceedings{hofherr2023neuralPhysParam,
 author = {F Hofherr and L Koestler and F Bernard and D Cremers},
 title = {Neural Implicit Representations for Physical Parameter Inference from a Single Video},
 booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
 year = {2023},
 eprint = {2204.14030},
 eprinttype = {arXiv},
 keywords = {Neural Fields, Physical Parameter Estimation, Geometry Processing},
}

@article{klenk2022nerf,
 title = {E-NeRF: Neural Radiance Fields from a Moving Event Camera},
 author = {S Klenk and L Koestler and D Scaramuzza and D Cremers},
 journal = {arXiv preprint arXiv:2208.11300},
 year = {2022},
 eprint = {2208.11300},
 eprinttype = {arXiv},
 eprintclass = {cs.CV},
}

@article{klenk2022masked,
 title = {Masked Event Modeling: Self-Supervised Pretraining for Event Cameras},
 author = {S Klenk and D Bonello and L Koestler and D Cremers},
 journal = {arXiv preprint arXiv:2212.10368},
 year = {2022},
 eprint = {2212.10368},
 eprinttype = {arXiv},
 eprintclass = {cs.CV},
}