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Learning Semantic Segmentation of Large-Scale Point Clouds With Random Sampling
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Hu, QingyongYang, BoXie, LinhaiRosa, StefanoGuo, YulanWang, ZhihuaTrigoni, NikiMarkham, Andrew

We study the problem of efficient semantic segmentation of large-scale 3D point clouds. By relying on expensive sampling techniques or computationally heavy pre/post-processing steps, most existing…

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Deep Learning for 3D Point Clouds: A Survey
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Guo, YulanBennamoun, MohammedLiu, HaoLiu, LiWang, HanyunHu, Qingyong

Point cloud learning has lately attracted increasing attention due to its wide applications in many areas, such as computer vision, autonomous driving, and robotics. As a dominating technique in AI…


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