10 citations · 19 across the 5 of their papers we have counts for
5 papers
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…
Continuous Learning and Inference of Individual Probability of SARS-CoV-2 Infection Based on Interaction Data
Shangching Liu, Koyun Liu, Hwaihai Chiang +2
This study presents a new approach to determine the likelihood of asymptomatic carriers of the SARS-CoV-2 virus by using interaction-based continuous learning and inference of indi…
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…
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…
Saliency-guided Adaptive Seeding for Supervoxel Segmentation
Ge Gao, Mikko Lauri, Jianwei Zhang +1
We propose a new saliency-guided method for generating supervoxels in 3D space. Rather than using an evenly distributed spatial seeding procedure, our method uses visual saliency t…