| 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 | 544 | 2017 |
| 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 European conference on computer vision, 205-220, 2016 | 233 | 2016 |
| 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 | 178 | 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 | 137 | 2019 |
| 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 | 87 | 2018 |
| Hashmod: A Hashing Method for Scalable 3D Object Detection W Kehl, F Tombari, N Navab, S Ilic, V Lepetit British Machine Vision Conference, 2015 | 54 | 2015 |
| Deceptionnet: Network-driven domain randomization S Zakharov, W Kehl, S Ilic Proceedings of the IEEE/CVF International Conference on Computer Vision, 532-541, 2019 | 38 | 2019 |
| Sdf-2-sdf: Highly accurate 3d object reconstruction M Slavcheva, W Kehl, N Navab, S Ilic European Conference on Computer Vision, 680-696, 2016 | 32 | 2016 |
| 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 | 29 | 2017 |
| Differentiable rendering: A survey H Kato, D Beker, M Morariu, T Ando, T Matsuoka, W Kehl, A Gaidon arXiv preprint arXiv:2006.12057, 2020 | 28 | 2020 |
| 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 | 26 | 2017 |
| 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 | 25 | 2020 |
| Coloured signed distance fields for full 3D object reconstruction. W Kehl, N Navab, S Ilic British Machine Vision Conference, 2014 | 24 | 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 (6), 615-636, 2018 | 15 | 2018 |
| 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 | 9 | 2020 |
| [POSTER] Augmenting Mobile C-arm Fluoroscopes via Stereo-RGBD Sensors for Multimodal Visualization S Habert, M Meng, W Kehl, X Wang, F Tombari, P Fallavollita, N Navab 2015 IEEE International Symposium on Mixed and Augmented Reality, 72-75, 2015 | 6 | 2015 |
| An Octree-Based Approach towards Efficient Variational Range Data Fusion W Kehl, T Holl, F Tombari, S Ilic, N Navab British Machine Vision Conference (BMVC), 2016 | 5 | 2016 |
| Method and apparatus for a manifold view of space W Kehl, GROS SANCHEZ US Patent 10,679,099, 2020 | 3 | 2020 |
| Improving optical myography via convolutional neural networks C Nissler, I Badshah, C Castellini, W Kehl, N Navab | 2 | 2017 |
| System and method for generating training data from synthetic images W Kehl US Patent 10,915,787, 2021 | 1 | 2021 |
Nassir NavabProfessor of Computer Science, Technische Universität MünchenVerified email at cs.tum.edu
