ResearchTrend.AI
DeepHMap++: Combined Projection Grouping and Correspondence Learning for Full DoF Pose Estimation

DeepHMap++: Combined Projection Grouping and Correspondence Learning for Full DoF Pose Estimation

Mingliang Fu
Weijia Zhou
ArXivPDFHTML

Papers citing "DeepHMap++: Combined Projection Grouping and Correspondence Learning for Full DoF Pose Estimation"

3 / 3 papers shown
Title
EPOS: Estimating 6D Pose of Objects with Symmetries
EPOS: Estimating 6D Pose of Objects with Symmetries
Tomás Hodan
Dániel Baráth
Jirí Matas
25
230
0
01 Apr 2020
6-DoF Object Pose from Semantic Keypoints
6-DoF Object Pose from Semantic Keypoints
Georgios Pavlakos
Xiaowei Zhou
Aaron Chan
Konstantinos G. Derpanis
Kostas Daniilidis
105
392
0
14 Mar 2017
Recovering 6D Object Pose and Predicting Next-Best-View in the Crowd
Recovering 6D Object Pose and Predicting Next-Best-View in the Crowd
Andreas Doumanoglou
R. Kouskouridas
S. Malassiotis
Tae-Kyun Kim
3DPC
127
227
0
23 Dec 2015