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Nikolaus Demmel
Nikolaus Demmel
PhD Student, Computer Vision Group, TUM
Verified email at in.tum.de - Homepage
Title
Cited by
Cited by
Year
The TUM VI Benchmark for Evaluating Visual-Inertial Odometry
D Schubert, T Goll, N Demmel, V Usenko, J Stückler, D Cremers
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
4642018
LDSO: Direct sparse odometry with loop closure
X Gao, R Wang, N Demmel, D Cremers
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
3622018
Visual-inertial mapping with non-linear factor recovery
V Usenko, N Demmel, D Schubert, J Stückler, D Cremers
IEEE Robotics and Automation Letters 5 (2), 422-429, 2019
2382019
The Double Sphere Camera Model
V Usenko, N Demmel, D Cremers
2018 International Conference on 3D Vision (3DV), 552-560, 2018
962018
Efficient Derivative Computation for Cumulative B-Splines on Lie Groups
C Sommer, V Usenko, D Schubert, N Demmel, D Cremers
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
812020
TUM-VIE: The TUM Stereo Visual-Inertial Event Dataset
S Klenk, J Chui, N Demmel, D Cremers
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
612021
Direct Sparse Odometry with Rolling Shutter
D Schubert, N Demmel, V Usenko, J Stuckler, D Cremers
Proceedings of the European Conference on Computer Vision (ECCV), 682-697, 2018
502018
Rolling-shutter modelling for direct visual-inertial odometry
D Schubert, N Demmel, L von Stumberg, V Usenko, D Cremers
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
432019
Square Root Bundle Adjustment for Large-Scale Reconstruction
N Demmel, C Sommer, D Cremers, V Usenko
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
242021
Becoming action-aware through reasoning about logged plan execution traces
L Mösenlechner, N Demmel, M Beetz
2010 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2010
242010
Interactive multi-label segmentation of rgb-d images
J Diebold, N Demmel, C Hazırbaş, M Moeller, D Cremers
Scale Space and Variational Methods in Computer Vision: 5th International …, 2015
202015
Square Root Marginalization for Sliding-Window Bundle Adjustment
N Demmel, D Schubert, C Sommer, D Cremers, V Usenko
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
162021
Towards Robust Monocular Visual Odometry for Flying Robots on Planetary Missions
M Wudenka, MG Müller, N Demmel, A Wedler, R Triebel, D Cremers, ...
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
92021
Distributed Photometric Bundle Adjustment
N Demmel, M Gao, E Laude, T Wu, D Cremers
2020 International Conference on 3D Vision (3DV), 140-149, 2020
92020
The Probabilistic Normal Epipolar Constraint for Frame-To-Frame Rotation Optimization under Uncertain Feature Positions
D Muhle, L Koestler, N Demmel, F Bernard, D Cremers
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
82022
Power Bundle Adjustment for Large-Scale 3D Reconstruction
S Weber, N Demmel, TC Chan, D Cremers
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
72023
DirectTracker: 3D Multi-Object Tracking Using Direct Image Alignment and Photometric Bundle Adjustment
M Gladkova, N Korobov, N Demmel, A Ošep, L Leal-Taixé, D Cremers
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
42022
Multidirectional conjugate gradients for scalable bundle adjustment
S Weber, N Demmel, D Cremers
DAGM German Conference on Pattern Recognition, 712-724, 2021
32021
Emergency Reviewers
A Sharma, A Harley, A Tonioni, A Bourki, B Busam, B Zhuang, B Yang, ...
Basalt Performance Evaluation on 2020 FPV Drone Racing VIO Dataset
N Demmel, V Usenko, D Cremers
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