| 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 | 1180 | 2017 |
| Bop: Benchmark for 6d object pose estimation T Hodan, F Michel, E Brachmann, W Kehl, A GlentBuch, D Kraft, B Drost, ... Proceedings of the European conference on computer vision (ECCV), 19-34, 2018 | 466 | 2018 |
| Deep learning of local rgb-d patches for 3d object detection and 6d pose estimation W Kehl, F Milletari, F Tombari, S Ilic, N Navab Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 340 | 2016 |
| 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 | 309 | 2019 |
| Differentiable rendering: A survey H Kato, D Beker, M Morariu, T Ando, T Matsuoka, W Kehl, A Gaidon arXiv preprint arXiv:2006.12057, 2020 | 201 | 2020 |
| Deep model-based 6d pose refinement in rgb F Manhardt, W Kehl, N Navab, F Tombari Proceedings of the European Conference on Computer Vision (ECCV), 800-815, 2018 | 196 | 2018 |
| Autolabeling 3d objects with differentiable rendering of sdf shape priors S Zakharov, W Kehl, A Bhargava, A Gaidon Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 110 | 2020 |
| Deceptionnet: Network-driven domain randomization S Zakharov, W Kehl, S Ilic Proceedings of the IEEE/CVF International Conference on Computer Vision, 532-541, 2019 | 104 | 2019 |
| Hashmod: A Hashing Method for Scalable 3D Object Detection W Kehl, F Tombari, N Navab, S Ilic, V Lepetit British Machine Vision Conference, 2015 | 63 | 2015 |
| Sdf-2-sdf: Highly accurate 3d object reconstruction M Slavcheva, W Kehl, N Navab, S Ilic Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 51 | 2016 |
| Real-time 3D model tracking in color and depth on a single CPU core W Kehl, F Tombari, S Ilic, N Navab Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 48 | 2017 |
| Monocular differentiable rendering for self-supervised 3d object detection D Beker, H Kato, MA Morariu, T Ando, T Matsuoka, W Kehl, A Gaidon Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 47 | 2020 |
| 3d object instance recognition and pose estimation using triplet loss with dynamic margin S Zakharov, W Kehl, B Planche, A Hutter, S Ilic 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 47 | 2017 |
| Coloured signed distance fields for full 3D object reconstruction. W Kehl, N Navab, S Ilic British Machine Vision Conference, 2014 | 30 | 2014 |
| SDF-2-SDF registration for real-time 3D reconstruction from RGB-D data M Slavcheva, W Kehl, N Navab, S Ilic International Journal of Computer Vision 126, 615-636, 2018 | 25 | 2018 |
| Virtually boosted training W Kehl, GROS SANCHEZ US Patent 10,817,752, 2020 | 19 | 2020 |
| Inferring locations of 3D objects in a spatial environment W Kehl, GROS SANCHEZ US Patent 10,810,792, 2020 | 18 | 2020 |
| Single-shot scene reconstruction S Zakharov, RA Ambrus, VC Guizilini, D Park, W Kehl, F Durand, ... 5th Annual Conference on Robot Learning, 2021 | 16 | 2021 |
| System and method for 3D scene reconstruction of agent operation sequences using low-level/high-level reasoning and parametric models W Kehl US Patent 10,845,818, 2020 | 13 | 2020 |
| Photo-realistic neural domain randomization S Zakharov, R Ambruș, V Guizilini, W Kehl, A Gaidon European Conference on Computer Vision, 310-327, 2022 | 10 | 2022 |
Nassir NavabProfessor of Computer Science, Technische Universität MünchenVahvistettu sähköpostiosoite verkkotunnuksessa cs.tum.edu
