98 citations · 178 across the 16 of their papers we have counts for
4 papers · 1 filter
3D Siamese Voxel-to-BEV Tracker for Sparse Point Clouds
Le Hui, Lingpeng Wang, Mingmei Cheng +2
3D object tracking in point clouds is still a challenging problem due to the sparsity of LiDAR points in dynamic environments. In this work, we propose a Siamese voxel-to-BEV track…
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…
Efficient 3D Point Cloud Feature Learning for Large-Scale Place Recognition
Le Hui, Mingmei Cheng, Jin Xie +1
Point cloud based retrieval for place recognition is still a challenging problem due to drastic appearance and illumination changes of scenes in changing environments. Existing dee…