4 citations · 6 across the 5 of their papers we have counts for
5 papers
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…
Towards Uniform Point Distribution in Feature-preserving Point Cloud Filtering
Shuaijun Chen, Jinxi Wang, Wei Pan +3
As a popular representation of 3D data, point cloud may contain noise and need to be filtered before use. Existing point cloud filtering methods either cannot preserve sharp featur…
Rethinking Point Cloud Filtering: A Non-Local Position Based Approach
Jinxi Wang, Jincen Jiang, Xuequan Lu +1
Existing position based point cloud filtering methods can hardly preserve sharp geometric features. In this paper, we rethink point cloud filtering from a non-learning non-local no…
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…