87 citations · 137 across the 9 of their papers we have counts for
10 papers · 1 filter
DLA-Net: Learning Dual Local Attention Features for Semantic Segmentation of Large-Scale Building Facade Point Clouds
Yanfei Su, Weiquan Liu, Zhimin Yuan +4
Semantic segmentation of building facade is significant in various applications, such as urban building reconstruction and damage assessment. As there is a lack of 3D point clouds…
VPC-Net: Completion of 3D Vehicles from MLS Point Clouds
Yan Xia, Yusheng Xu, Cheng Wang +1
As a dynamic and essential component in the road environment of urban scenarios, vehicles are the most popular investigation targets. To monitor their behavior and extract their ge…
Review: deep learning on 3D point clouds
Saifullahi Aminu Bello, Shangshu Yu, Cheng Wang
Point cloud is point sets defined in 3D metric space. Point cloud has become one of the most significant data format for 3D representation. Its gaining increased popularity as a re…
Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling
Wenkai Han, Chenglu Wen, Cheng Wang +2
Fully exploring correlation among points in point clouds is essential for their feature modeling. This paper presents a novel end-to-end graph model, named Point2Node, to represent…
RF-Net: An End-to-End Image Matching Network based on Receptive Field
Xuelun Shen, Cheng Wang, Xin Li +5
This paper proposes a new end-to-end trainable matching network based on receptive field, RF-Net, to compute sparse correspondence between images. Building end-to-end trainable mat…
PointNLM: Point Nonlocal-Means for vegetation segmentation based on middle echo point clouds
Jonathan Li, Rongren Wu, Yiping Chen +3
Middle-echo, which covers one or a few corresponding points, is a specific type of 3D point cloud acquired by a multi-echo laser scanner. In this paper, we propose a novel approach…