7 citations · 15 across the 4 of their papers we have counts for
4 papers
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…
Blindly Assess Quality of In-the-Wild Videos via Quality-aware Pre-training and Motion Perception
Bowen Li, Weixia Zhang, Meng Tian +2
Perceptual quality assessment of the videos acquired in the wilds is of vital importance for quality assurance of video services. The inaccessibility of reference videos with prist…
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…
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…