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 | 860 | 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 | 641 | 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 | 565 | 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 | 439 | 2018 |
Learning less is more - 6D camera localization via 3D surface regression E Brachmann, C Rother Proc. CVPR 8, 2018 | 402 | 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 | 311 | 2019 |
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 | 248 | 2015 |
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 | 243 | 2020 |
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 | 165 | 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 | 150 | 2017 |
Expert sample consensus applied to camera re-localization E Brachmann, C Rother Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 112 | 2019 |
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 | 85 | 2017 |
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 | 83 | 2020 |
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 | 75* | 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 | 75 | 2014 |
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 | 60 | 2020 |
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 | 57 | 2017 |
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 | 56 | 2021 |
Pose Estimation of Kinematic Chain Instances via Object Coordinate Regression. F Michel, A Krull, E Brachmann, MY Yang, S Gumhold, C Rother BMVC, 181.1-181.11, 2015 | 52 | 2015 |
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 | 41 | 2023 |