most citedFull Point Encoding for Local Feature Aggregation in 3D Point Clouds

2 citations · 3 across the 5 of their papers we have counts for

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cs.CV2023★ 1 cited

DANet: Density Adaptive Convolutional Network with Interactive Attention for 3D Point Clouds

Yong He, Hongshan Yu, Zhengeng Yang +3

Local features and contextual dependencies are crucial for 3D point cloud analysis. Many works have been devoted to designing better local convolutional kernels that exploit the co…

cs.CV2023★ 2 cited

Full Point Encoding for Local Feature Aggregation in 3D Point Clouds

Yong He, Hongshan Yu, Zhengeng Yang +3

Point cloud processing methods exploit local point features and global context through aggregation which does not explicity model the internal correlations between local and global…