4 citations · 4 across the 4 of their papers we have counts for
4 papers
DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning
Jincen Jiang, Lizhi Zhao, Xuequan Lu +3
Recent works attempt to extend Graph Convolution Networks (GCNs) to point clouds for classification and segmentation tasks. These works tend to sample and group points to create sm…
In-Place Gestures Classification via Long-term Memory Augmented Network
Lizhi Zhao, Xuequan Lu, Qianyue Bao +1
In-place gesture-based virtual locomotion techniques enable users to control their viewpoint and intuitively move in the 3D virtual environment. A key research problem is to accura…
Masked Autoencoders in 3D Point Cloud Representation Learning
Jincen Jiang, Xuequan Lu, Lizhi Zhao +2
Transformer-based Self-supervised Representation Learning methods learn generic features from unlabeled datasets for providing useful network initialization parameters for downstre…
Classifying In-Place Gestures with End-to-End Point Cloud Learning
Lizhi Zhao, Xuequan Lu, Min Zhao +1
Walking in place for moving through virtual environments has attracted noticeable attention recently. Recent attempts focused on training a classifier to recognize certain patterns…