7 citations · 7 across the 2 of their papers we have counts for
3 papers
cs.CV2022
Weakly Supervised Learning of Keypoints for 6D Object Pose Estimation
Meng Tian, Gim Hee Lee
State-of-the-art approaches for 6D object pose estimation require large amounts of labeled data to train the deep networks. However, the acquisition of 6D object pose annotations i…
cs.CV2020★ 7 cited
Shape Prior Deformation for Categorical 6D Object Pose and Size Estimation
Meng Tian, Marcelo H Ang, Gim Hee Lee
We present a novel learning approach to recover the 6D poses and sizes of unseen object instances from an RGB-D image. To handle the intra-class shape variation, we propose a deep…
cs.CV2020
Robust 6D Object Pose Estimation by Learning RGB-D Features
Meng Tian, Liang Pan, Marcelo H Ang +1
Accurate 6D object pose estimation is fundamental to robotic manipulation and grasping. Previous methods follow a local optimization approach which minimizes the distance between c…