9 citations · 19 across the 4 of their papers we have counts for
4 papers · 1 filter
Joint Data and Feature Augmentation for Self-Supervised Representation Learning on Point Clouds
Zhuheng Lu, Yuewei Dai, Weiqing Li +1
To deal with the exhausting annotations, self-supervised representation learning from unlabeled point clouds has drawn much attention, especially centered on augmentation-based con…
Hypergraph Convolutional Network based Weakly Supervised Point Cloud Semantic Segmentation with Scene-Level Annotations
Zhuheng Lu, Peng Zhang, Yuewei Dai +2
Point cloud segmentation with scene-level annotations is a promising but challenging task. Currently, the most popular way is to employ the class activation map (CAM) to locate dis…
AS-PD: An Arbitrary-Size Downsampling Framework for Point Clouds
Peng Zhang, Ruoyin Xie, Jinsheng Sun +2
Point cloud downsampling is a crucial pre-processing operation to downsample points in order to unify data size and reduce computational cost, to name a few. Recent research on poi…
Overlooked Poses Actually Make Sense: Distilling Privileged Knowledge for Human Motion Prediction
Xiaoning Sun, Qiongjie Cui, Huaijiang Sun +3
Previous works on human motion prediction follow the pattern of building a mapping relation between the sequence observed and the one to be predicted. However, due to the inherent…