| 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 | 389 | 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 | 122 | 2018 |
| Roi-10d: Monocular lifting of 2d detection to 6d pose and metric shape F Manhardt, W Kehl, A Gaidon Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 79 | 2019 |
| 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 | 64 | 2015 |
| Deep Model-Based 6D Pose Refinement in RGB F Manhardt, W Kehl, N Navab, F Tombari IEEE European Conference on Computer Vision (ECCV), 2018 | 55 | 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/CVF International Conference on Computer Vision …, 2019 | 27 | 2019 |
| Self6D: Self-supervised Monocular 6D Object Pose Estimation G Wang, F Manhardt, J Shao, X Ji, N Navab, F Tombari European Conference on Computer Vision, 108-125, 2020 | 3 | 2020 |
| CPS++: Improving Class-level 6D Pose and Shape Estimation From Monocular Images With Self-Supervised Learning F Manhardt, G Wang, B Busam, M Nickel, S Meier, L Minciullo, X Ji, ... arXiv e-prints, arXiv: 2003.05848, 2020 | 1* | 2020 |
| DB-GAN: Boosting Object Recognition Under Strong Lighting Conditions L Minciullo, F Manhardt, K Yoshikawa, S Meier, F Tombari, N Kobori Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | | 2021 |
| System and method for lifting 3d representations from monocular images W Kehl, F Manhardt US Patent App. 16/269,172, 2020 | | 2020 |
Federico TombariGoogle, TU MunichVerified email at in.tum.de
