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Frank Michel
Frank Michel
Senior Research Scientist, Toyota Research Institute
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Learning 6d object pose estimation using 3d object coordinates
E Brachmann, A Krull, F Michel, S Gumhold, J Shotton, C Rother
Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014
7962014
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
5772017
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
5342016
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
3922018
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
2352015
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
2112020
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
1432017
6-dof model based tracking via object coordinate regression
A Krull, F Michel, E Brachmann, S Gumhold, S Ihrke, C Rother
Computer Vision--ACCV 2014: 12th Asian Conference on Computer Vision …, 2015
702015
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
552017
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
502015
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
132018
Sixd challenge 2017
T Hodan, F Michel, C Sahin, TK Kim, J Matas, C Rother
URL http://cmp. felk. cvut. cz/sixd/challenge, 2017
72017
Introducing LiDAR Point Cloud-based Object Classification for Safer Apron Operations
J Mund, F Michel, F Dieke-Meier, H Fricke, L Meyer, C Rother
62016
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
Demonstrating Mobile Manipulation in the Wild: A Metrics-Driven Approach
M Bajracharya, J Borders, R Cheng, DM Helmick, L Kaul, D Kruse, ...
Robotics: Science and Systems (RSS), 2023
2023
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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학술자료 1–19