9 citations · 26 across the 13 of their papers we have counts for
4 papers · 1 filter
No-reference Point Cloud Geometry Quality Assessment Based on Pairwise Rank Learning
Zhiyong Su, Chao Chu, Long Chen +2
Objective geometry quality assessment of point clouds is essential to evaluate the performance of a wide range of point cloud-based solutions, such as denoising, simplification, re…
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…