50 citations · 57 across the 4 of their papers we have counts for
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cs.CV2022
4DAC: Learning Attribute Compression for Dynamic Point Clouds
Guangchi Fang, Qingyong Hu, Yiling Xu +1
With the development of the 3D data acquisition facilities, the increasing scale of acquired 3D point clouds poses a challenge to the existing data compression techniques. Although…
cs.CV2022
3DAC: Learning Attribute Compression for Point Clouds
Guangchi Fang, Qingyong Hu, Hanyun Wang +2
We study the problem of attribute compression for large-scale unstructured 3D point clouds. Through an in-depth exploration of the relationships between different encoding steps an…
cs.CV2021★ 7 cited
SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds
Qingyong Hu, Bo Yang, Guangchi Fang +4
Labelling point clouds fully is highly time-consuming and costly. As larger point cloud datasets with billions of points become more common, we ask whether the full annotation is e…