6D Object Pose Estimation
6D Object Pose Estimation is a machine vision task that determines the six-dimensional pose of a target object in a 3D scene, comprising its 3D location and 3D orientation, typically relative to a camera frame, to enable precise robotic manipulation and interaction.
582
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40.5K
Citations
1.5K
Authors
412
Institutions
Publications per year
2017–2026
411
Parents
582
3D Bounding Box Estimation Using Deep Learning and Geometry
Arsalan Mousavian, Dragomir Anguelov, John P. Flynn et al. · 2017 · 1.2K citations
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
Chen Wang, Danfei Xu, Yuke Zhu et al. · 2019 · 1.1K citations
PVNet: Pixel-Wise Voting Network for 6DoF Pose Estimation
Sida Peng, Yuan Liu, Qixing Huang et al. · 2019 · 1.1K citations
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412
Technical University of Munich
Munich, Germany
26 h-index
92 publications
6.7K citations
Tsinghua University
Beijing, China
19 h-index
58 publications
4.8K citations
Carnegie Mellon University
Pittsburgh, United States
17 h-index
43 publications
4.8K citations

Shanghai Jiao Tong University
Shanghai, China
16 h-index
44 publications
4.2K citations

Zhejiang University
Hangzhou, China
14 h-index
49 publications
6.5K citations

Imperial College London
London, United Kingdom
14 h-index
51 publications
4.2K citations

Chinese Academy of Sciences
Beijing, China
14 h-index
68 publications
2K citations
Google (United States)
Mountain View, United States
13 h-index
32 publications
2.8K citations
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Repository · 55 publications · 2K citations
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25 publications · 1.1K citations
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Conference · 18 publications · 1.4K citations
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10 publications · 319 citations
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12 publications · 390 citations
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