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@inproceedings{diebold-et-al-ssvm15,
 author = {J. Diebold and N. Demmel and C. Hazirbas and M. Möller and D. Cremers},
 title = {Interactive Multi-label Segmentation of RGB-D Images},
 booktitle = {Scale Space and Variational Methods in Computer Vision (SSVM)},
 year = {2015},
 month = {june},
 keywords = {diebold, segmentation},
 doi = {10.1007/978-3-319-18461-6_24},
}

@inproceedings{schubert2018vidataset,
 author = {D. Schubert and T. Goll and N. Demmel and V. Usenko and J. Stueckler and D. Cremers},
 title = {The TUM VI Benchmark for Evaluating Visual-Inertial Odometry},
 booktitle = {International Conference on Intelligent Robots and Systems (IROS)},
 arxiv = {arXiv:1804.06120},
 year = {2018},
 month = {October},
 keywords = {tumvi, vo, vio ,vslam, dataset},
}

@inproceedings{schubert2019vidsors,
 author = {D. Schubert and N. Demmel and L. von Stumberg and V. Usenko and D. Cremers},
 title = {Rolling-Shutter Modelling for Visual-Inertial Odometry},
 booktitle = {International Conference on Intelligent Robots and Systems (IROS)},
 year = {2019},
 month = {November},
 arxiv = {arXiv: 1911.01015},
 keywords = {vidsors, vo, vio ,vslam},
}

@inproceedings{gao2018ldso,
 author = {X. Gao and R. Wang and N. Demmel and D. Cremers},
 title = {LDSO: Direct Sparse Odometry with Loop Closure},
 booktitle = {International Conference on Intelligent Robots and Systems (IROS)},
 arxiv = {arXiv:1808.01111},
 year = {2018},
 month = {October},
 keywords = {dso, ldso, vslam},
}

@inproceedings{mosenlechner2010becoming,
 title = {Becoming action-aware through reasoning about logged plan execution traces},
 author = {L Mösenlechner and N Demmel and M Beetz},
 booktitle = {International Conference on Intelligent Robots and Systems (IROS)},
 pages = {2231--2236},
 year = {2010},
 organization = {IEEE},
}

@inproceedings{schubert2018drso,
 author = {D. Schubert and N. Demmel and V. Usenko and J. Stueckler and D. Cremers},
 title = {Direct Sparse Odometry With Rolling Shutter},
 booktitle = {European Conference on Computer Vision (ECCV)},
 year = {2018},
 month = {September},
 award = {Oral Presentation},
 keywords = {dso, vslam},
}

@inproceedings{usenko18double-sphere,
 author = {V. Usenko and N. Demmel and D. Cremers},
 title = {The Double Sphere Camera Model},
 booktitle = {Proc. of the Int. Conference on 3D Vision (3DV)},
 year = {2018},
 month = {September},
 eprint = {1807.08957},
 eprinttype = {arXiv},
 eprintclass = {cs.CV},
 keywords = {double-sphere, vslam},
}

@article{usenko19nfr,
 author = {V. Usenko and N. Demmel and D. Schubert and J. Stueckler and D. Cremers},
 title = {Visual-Inertial Mapping with Non-Linear Factor Recovery},
 journal = {IEEE Robotics and Automation Letters (RA-L) & Int. Conference on Intelligent Robotics and Automation (ICRA)},
 publisher = {IEEE},
 year = {2020},
 volume = {5},
 number = {2},
 pages = {422-429},
 keywords = {nfr, vo, vio, vslam},
 doi = {10.1109/LRA.2019.2961227},
}

@inproceedings{sommer19spline,
 author = {C. Sommer and V. Usenko and D. Schubert and N. Demmel and D. Cremers},
 title = {Efficient Derivative Computation for Cumulative B-Splines on Lie Groups},
 eprint = {1911.08860},
 eprinttype = {arXiv},
 eprintclass = {cs.CV},
 doi = {10.1109/CVPR42600.2020.01116},
 booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
 year = {2020},
 award = {Oral Presentation},
 keywords = {lie-spline, vslam, SLAM},
}

@inproceedings{demmel2020distributed,
 author = {N Demmel and M Gao and E Laude and T Wu and D Cremers},
 title = {Distributed Photometric Bundle Adjustment},
 booktitle = {International Conference on 3D Vision (3DV)},
 year = {2020},
 award = {Oral Presentation},
 keywords = {photometric-bundle-adjustment, slam, structure-from-motion, direct-method, distributed-optimization, mapping, splitting-method, penalty-method, loop-closure, odometry, consensus-optimization, dpba, vslam},
}

@inproceedings{demmel2021rootba,
 author = {N Demmel and C Sommer and D Cremers and V Usenko},
 title = {Square Root Bundle Adjustment for Large-Scale Reconstruction},
 eprint = {2103.01843},
 eprinttype = {arXiv},
 eprintclass = {cs.CV},
 booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
 year = {2021},
 keywords = {bundle adjustment, structure from motion, optimization, square root estimation, rootba, SLAM, vslam},
}

@inproceedings{demmel2021rootvo,
 author = {N Demmel and D Schubert and C Sommer and D Cremers and V Usenko},
 title = {Square Root Marginalization for Sliding-Window Bundle Adjustment},
 eprint = {2109.02182},
 eprinttype = {arXiv},
 eprintclass = {cs.CV},
 booktitle = {IEEE International Conference on Computer Vision (ICCV)},
 year = {2021},
 keywords = {odometry, VO, VIO, visual-inertial, bundle adjustment, optimization, square root estimation, rootba, rootvo, SLAM, vslam},
}

@inproceedings{wudenka2021monocular,
 author = {MW Wudenka and MG Müller and N Demmel and A Wedler and R Triebel and D Cremers and W Stuerzl},
 title = {Towards Robust Monocular Visual Odometry for Flying Robots on Planetary Missions},
 eprint = {2109.05509},
 eprinttype = {arXiv},
 eprintclass = {cs.RO},
 booktitle = {International Conference on Intelligent Robots and Systems (IROS)},
 keywords = {odometry, VO, SLAM, vslam},
 year = {2021},
}

@inproceedings{klenk2021tumvie,
 author = {S Klenk and J Chui and N Demmel and D Cremers},
 title = {TUM-VIE: The TUM Stereo Visual-Inertial Event Dataset},
 eprint = {2108.07329},
 eprinttype = {arXiv},
 eprintclass = {cs.CV},
 booktitle = {International Conference on Intelligent Robots and Systems (IROS)},
 year = {2021},
 keywords = {tumvie, event camera, dynamic vision sensor, SLAM, vslam},
}

@inproceedings{weber2021mcg,
 author = {S Weber and N Demmel and D Cremers},
 title = {Multidirectional Conjugate Gradients for Scalable Bundle Adjustment},
 booktitle = {German Conference on Pattern Recognition (GCPR)},
 year = {2021},
 keywords = {large-scale reconstruction, bundle adjustment, preconditioned conjugate gradients, SLAM, vslam},
 award = {Oral Presentation},
}

@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{gladkova2022directtracker,
 author = {M Gladkova and N Korobov and N Demmel and A Ošep and L Leal-Taixé and D Cremers},
 title = {DirectTracker: 3D Multi-Object Tracking Using Direct Image Alignment and Photometric Bundle Adjustment},
 booktitle = {International Conference on Intelligent Robots and Systems (IROS)},
 year = {2022},
 eprint = {2209.14965},
 eprinttype = {arXiv},
 eprintclass = {cs.CV},
 keywords = {multi-object tracking, 3D object detection, slam, scene understanding},
}

@inproceedings{weber2023power,
 title = {Power Bundle Adjustment for Large-Scale 3D Reconstruction},
 author = {S Weber and N Demmel and T Chon Chan and D Cremers},
 eprint = {2204.12834},
 eprinttype = {arXiv},
 eprintclass = {cs.CV},
 booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
 keywords = {bundle adjustment, optimization, SLAM, vslam},
 titleurl = {weber2022psc.pdf},
 year = {2023},
}