Frank Michel
Frank Michel
Research Associate, TU Dresden
Bestätigte E-Mail-Adresse bei tu-dresden.de
Titel
Zitiert von
Zitiert von
Jahr
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
3412014
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
2522016
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
1922017
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
1392015
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
1032018
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
712017
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
462014
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
322017
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
222015
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
82018
Introducing LiDAR Point Cloud-based Object Classification for Safer Apron Operations
J Mund, F Michel, F Dieke-Meier, H Fricke, L Meyer, C Rother
52016
BOP Challenge 2020 on 6D Object Localization
T Hodan, M Sundermeyer, B Drost, Y Labbe, E Brachmann, F Michel, ...
arXiv preprint arXiv:2009.07378, 2020
2020
BOP Challenge 2019
T Hodaň, E Brachmann, B Drost, F Michel, M Sundermeyer, J Matas, ...
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
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