Fabian Manhardt
Fabian Manhardt
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Cited by
Cited by
SSD-6D: Making RGB-based 3D detection and 6D pose estimation great again
W Kehl, F Manhardt, F Tombari, S Ilic, N Navab
IEEE International Conference on Computer Vision (ICCV), 1521-1529, 2017
BOP: Benchmark for 6D Object Pose Estimation
T Hodan, F Michel, E Brachmann, W Kehl, AG Buch, D Kraft, B Drost, ...
Proceedings of the European Conference on Computer Vision (ECCV), 19-34, 2018
Automotive big data: Applications, workloads and infrastructures
A Luckow, K Kennedy, F Manhardt, E Djerekarov, B Vorster, A Apon
2015 IEEE International Conference on Big Data (Big Data), 1201-1210, 2015
Roi-10d: Monocular lifting of 2d detection to 6d pose and metric shape
F Manhardt, W Kehl, A Gaidon
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
Deep Model-Based 6D Pose Refinement in RGB
F Manhardt, W Kehl, N Navab, F Tombari
IEEE European Conference on Computer Vision (ECCV), 2018
Explaining the ambiguity of object detection and 6d pose from visual data
F Manhardt, DM Arroyo, C Rupprecht, B Busam, T Birdal, N Navab, ...
Proceedings of the IEEE International Conference on Computer Vision, 6841-6850, 2019
System and method for lifting 3d representations from monocular images
W Kehl, F Manhardt
US Patent App. 16/269,172, 2020
Self6D: Self-Supervised Monocular 6D Object Pose Estimation
G Wang, F Manhardt, J Shao, X Ji, N Navab, F Tombari
arXiv preprint arXiv:2004.06468, 2020
CPS: Class-level 6D Pose and Shape Estimation From Monocular Images
F Manhardt, M Nickel, S Meier, L Minciullo, N Navab
arXiv preprint arXiv:2003.05848, 2020
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