49 citations · 64 across the 3 of their papers we have counts for
3 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.CV2021★ 49 cited
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling
Xumin Yu, Lulu Tang, Yongming Rao +3
We present Point-BERT, a new paradigm for learning Transformers to generalize the concept of BERT to 3D point cloud. Inspired by BERT, we devise a Masked Point Modeling (MPM) task…
cs.CV2020★ 10 cited
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…