| Learning 6D object pose estimation using 3D object coordinates E Brachmann, A Krull, F Michel, S Gumhold, J Shotton, C Rother European conference on computer vision, 536-551, 2014 | 946 | 2014 |
| DSAC - Differentiable RANSAC for camera localization E Brachmann, A Krull, S Nowozin, J Shotton, F Michel, S Gumhold, ... IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 3, 2017 | 711 | 2017 |
| Uncertainty-driven 6D pose estimation of objects and scenes from a single RGB image E Brachmann, F Michel, A Krull, M Ying Yang, S Gumhold Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 615 | 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 | 510 | 2018 |
| Learning less is more - 6D camera localization via 3D surface regression E Brachmann, C Rother Proc. CVPR 8, 2018 | 440 | 2018 |
| Neural-guided RANSAC: Learning where to sample model hypotheses E Brachmann, C Rother Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 342 | 2019 |
| BOP challenge 2020 on 6D object localization T Hodaň, M Sundermeyer, B Drost, Y Labbé, E Brachmann, F Michel, ... Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 292 | 2020 |
| Learning analysis-by-synthesis for 6D pose estimation in RGB-D images A Krull, E Brachmann, F Michel, M Ying Yang, S Gumhold, C Rother Proceedings of the IEEE International Conference on Computer Vision, 954-962, 2015 | 258 | 2015 |
| Visual camera re-localization from RGB and RGB-D images using DSAC E Brachmann, C Rother IEEE transactions on pattern analysis and machine intelligence 44 (9), 5847-5865, 2021 | 230 | 2021 |
| Global hypothesis generation for 6D object pose estimation F Michel, A Kirillov, E Brachmann, A Krull, S Gumhold, B Savchynskyy, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 152 | 2017 |
| Expert sample consensus applied to camera re-localization E Brachmann, C Rother Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 131 | 2019 |
| Reinforced feature points: Optimizing feature detection and description for a high-level task A Bhowmik, S Gumhold, C Rother, E Brachmann Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 93 | 2020 |
| Random forests versus neural networks—what's best for camera localization? D Massiceti, A Krull, E Brachmann, C Rother, PHS Torr 2017 IEEE international conference on robotics and automation (ICRA), 5118-5125, 2017 | 88 | 2017 |
| Bop challenge 2022 on detection, segmentation and pose estimation of specific rigid objects M Sundermeyer, T Hodaň, Y Labbe, G Wang, E Brachmann, B Drost, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 79 | 2023 |
| ipose: instance-aware 6d pose estimation of partly occluded objects O Hosseini Jafari, SK Mustikovela, K Pertsch, E Brachmann, C Rother Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019 | 77* | 2019 |
| 6-DOF model based tracking via object coordinate regression A Krull, F Michel, E Brachmann, S Gumhold, S Ihrke, C Rother Asian Conference on Computer Vision, 384-399, 2014 | 76 | 2014 |
| On the limits of pseudo ground truth in visual camera re-localisation E Brachmann, M Humenberger, C Rother, T Sattler Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 72 | 2021 |
| Consac: Robust multi-model fitting by conditional sample consensus F Kluger, E Brachmann, H Ackermann, C Rother, MY Yang, B Rosenhahn Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 69 | 2020 |
| Accelerated coordinate encoding: Learning to relocalize in minutes using rgb and poses E Brachmann, T Cavallari, VA Prisacariu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 59 | 2023 |
| Poseagent: Budget-constrained 6D object pose estimation via reinforcement learning A Krull, E Brachmann, S Nowozin, F Michel, J Shotton, C Rother Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 59 | 2017 |
Carsten RotherProfessor Uni Heidelberg / GermanyZweryfikowany adres z iwr.uni-heidelberg.de
