| 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 | 590 | 2014 |
| Uncertainty-driven 6d pose estimation of objects and scenes from a single rgb image E Brachmann, F Michel, A Krull, MY Yang, S Gumhold Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 415 | 2016 |
| Dsac-differentiable ransac for camera localization E Brachmann, A Krull, S Nowozin, J Shotton, F Michel, S Gumhold, ... Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 393 | 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 | 234 | 2018 |
| Learning analysis-by-synthesis for 6D pose estimation in RGB-D images A Krull, E Brachmann, F Michel, MY Yang, S Gumhold, C Rother Proceedings of the IEEE international conference on computer vision, 954-962, 2015 | 198 | 2015 |
| 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 | 109 | 2017 |
| BOP challenge 2020 on 6D object localization T Hodaň, M Sundermeyer, B Drost, Y Labbé, E Brachmann, F Michel, ... European Conference on Computer Vision, 577-594, 2020 | 89 | 2020 |
| 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 | 62 | 2014 |
| 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 | 43 | 2017 |
| Pose Estimation of Kinematic Chain Instances via Object Coordinate Regression F Michel, A Krull, E Brachmann, MY Yang, S Gumhold, C Rother British Machine Vision Conference, 181.1-181.11, 2015 | 36 | 2015 |
| A Summary of the 4th International Workshop on Recovering 6D Object Pose T Hodan, R Kouskouridas, TK Kim, F Tombari, K Bekris, B Drost, ... ECCV Workshop, 2018 | 9 | 2018 |
| Introducing LiDAR Point Cloud-based Object Classification for Safer Apron Operations J Mund, F Michel, F Dieke-Meier, H Fricke, L Meyer, C Rother | 6 | 2016 |
| Sixd challenge 2017 T Hodan, F Michel, C Sahin, TK Kim, J Matas, C Rother | 5 | 2017 |
| BOP challenge 2019 T Hodaň, E Brachmann, B Drost, F Michel, M Sundermeyer, J Matas, ... International Workshop on Recovering 6D Object Pose at ICCV 2019, 2019 | 1* | 2019 |
| Results of the BOP Challenge 2019 T Hodaň, E Brachmann, B Drost, F Michel, M Sundermeyer, J Matas, ... | | |
| Uncertainty-Driven 6D Pose Estimation of Objects and Scenes from a Single RGB Image-Supplementary Material E Brachmann, F Michel, A Krull, MY Yang, S Gumhold, C Rother | | |
| Learning 6D Object Pose Estimation using 3D Object Coordinates-Supplementary Material E Brachmann, A Krull, F Michel, S Gumhold, J Shotton, C Rother | | |
| 6-DOF Model Based Tracking via Object Coordinate Regression Supplemental Note A Krull, F Michel, E Brachmann, S Gumhold, S Ihrke, C Rother | | |
Eric BrachmannStaff Scientist, Niantic在 nianticlabs.com 的电子邮件经过验证
