36 citations · 64 across the 8 of their papers we have counts for
8 papers · 1 filter
Learning Inter-Superpoint Affinity for Weakly Supervised 3D Instance Segmentation
Linghua Tang, Le Hui, Jin Xie
Due to the few annotated labels of 3D point clouds, how to learn discriminative features of point clouds to segment object instances is a challenging problem. In this paper, we pro…
Reliable Inlier Evaluation for Unsupervised Point Cloud Registration
Yaqi Shen, Le Hui, Haobo Jiang +2
Unsupervised point cloud registration algorithm usually suffers from the unsatisfied registration precision in the partially overlapping problem due to the lack of effective inlier…
SSPU-Net: Self-Supervised Point Cloud Upsampling via Differentiable Rendering
Yifan Zhao, Le Hui, Jin Xie
Point clouds obtained from 3D sensors are usually sparse. Existing methods mainly focus on upsampling sparse point clouds in a supervised manner by using dense ground truth point c…
SSPC-Net: Semi-supervised Semantic 3D Point Cloud Segmentation Network
Mingmei Cheng, Le Hui, Jin Xie +1
Point cloud semantic segmentation is a crucial task in 3D scene understanding. Existing methods mainly focus on employing a large number of annotated labels for supervised semantic…
Cascaded Non-local Neural Network for Point Cloud Semantic Segmentation
Mingmei Cheng, Le Hui, Jin Xie +2
In this paper, we propose a cascaded non-local neural network for point cloud segmentation. The proposed network aims to build the long-range dependencies of point clouds for the a…
Progressive Point Cloud Deconvolution Generation Network
Le Hui, Rui Xu, Jin Xie +2
In this paper, we propose an effective point cloud generation method, which can generate multi-resolution point clouds of the same shape from a latent vector. Specifically, we deve…