14 citations · 20 across the 2 of their papers we have counts for
4 papers · 1 filter
Investigate Indistinguishable Points in Semantic Segmentation of 3D Point Cloud
Mingye Xu, Zhipeng Zhou, Junhao Zhang +1
This paper investigates the indistinguishable points (difficult to predict label) in semantic segmentation for large-scale 3D point clouds. The indistinguishable points consist of…
Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud
Mutian Xu, Junhao Zhang, Zhipeng Zhou +3
In 2D image processing, some attempts decompose images into high and low frequency components for describing edge and smooth parts respectively. Similarly, the contour and flat are…
Geometry Sharing Network for 3D Point Cloud Classification and Segmentation
Mingye Xu, Zhipeng Zhou, Yu Qiao
In spite of the recent progresses on classifying 3D point cloud with deep CNNs, large geometric transformations like rotation and translation remain challenging problem and harm th…
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters
Yifan Xu, Tianqi Fan, Mingye Xu +2
Deep neural networks have enjoyed remarkable success for various vision tasks, however it remains challenging to apply CNNs to domains lacking a regular underlying structures such…