144 citations · 490 across the 18 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.CV2019★ 61 cited
Density-Aware Convolutional Networks with Context Encoding for Airborne LiDAR Point Cloud Classification
Xiang Li, Mingyang Wang, Congcong Wen +3
To better address challenging issues of the irregularity and inhomogeneity inherently present in 3D point clouds, researchers have been shifting their focus from the design of hand…
cs.CV2019★ 130 cited
Directionally Constrained Fully Convolutional Neural Network For Airborne Lidar Point Cloud Classification
Congcong Wen, Lina Yang, Ling Peng +2
Point cloud classification plays an important role in a wide range of airborne light detection and ranging (LiDAR) applications, such as topographic mapping, forest monitoring, pow…
cs.GR2019★ 34 cited
Non-Rigid Point Set Registration Networks
Lingjing Wang, Jianchun Chen, Xiang Li +1
Point set registration is defined as a process to determine the spatial transformation from the source point set to the target one. Existing methods often iteratively search for th…