177 citations · 232 across the 6 of their papers we have counts for
4 papers · 1 filter
CloudAAE: Learning 6D Object Pose Regression with On-line Data Synthesis on Point Clouds
Ge Gao, Mikko Lauri, Xiaolin Hu +2
It is often desired to train 6D pose estimation systems on synthetic data because manual annotation is expensive. However, due to the large domain gap between the synthetic and rea…
6D Object Pose Regression via Supervised Learning on Point Clouds
Ge Gao, Mikko Lauri, Yulong Wang +3
This paper addresses the task of estimating the 6 degrees of freedom pose of a known 3D object from depth information represented by a point cloud. Deep features learned by convolu…
Multi-label Object Attribute Classification using a Convolutional Neural Network
Soubarna Banik, Mikko Lauri, Simone Frintrop
Objects of different classes can be described using a limited number of attributes such as color, shape, pattern, and texture. Learning to detect object attributes instead of only…
Occlusion Resistant Object Rotation Regression from Point Cloud Segments
Ge Gao, Mikko Lauri, Jianwei Zhang +1
Rotation estimation of known rigid objects is important for robotic applications such as dexterous manipulation. Most existing methods for rotation estimation use intermediate repr…