| 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 | 298 | 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 | 90 | 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 | 54 | 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 | 53 | 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 | 42 | 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 | 14 | 2019 |
| System and method for lifting 3d representations from monocular images W Kehl, F Manhardt US Patent App. 16/269,172, 2020 | | 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 | | 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 | | 2020 |
Wadim KehlMachine Learning Engineer, TRI-ADVerified email at tri-ad.global
