5 citations · 5 across the 1 of their papers we have counts for
2 papers
cs.CV2022★ 5 cited
PU-EVA: An Edge Vector based Approximation Solution for Flexible-scale Point Cloud Upsampling
Luqing Luo, Lulu Tang, Wanyi Zhou +2
High-quality point clouds have practical significance for point-based rendering, semantic understanding, and surface reconstruction. Upsampling sparse, noisy and nonuniform point c…
cs.CV2020
Improving Semantic Analysis on Point Clouds via Auxiliary Supervision of Local Geometric Priors
Lulu Tang, Ke Chen, Chaozheng Wu +3
Existing deep learning algorithms for point cloud analysis mainly concern discovering semantic patterns from global configuration of local geometries in a supervised learning manne…