most citedEnhancing Local Feature Learning for 3D Point Cloud Processing using Unary-Pairwise Attention

3 citations · 4 across the 3 of their papers we have counts for

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cs.CV2022

Enhancing Local Feature Learning Using Diffusion for 3D Point Cloud Understanding

Haoyi Xiu, Xin Liu, Weimin Wang +4

Learning point clouds is challenging due to the lack of connectivity information, i.e., edges. Although existing edge-aware methods can improve the performance by modeling edges, h…

cs.CV2022★ 3 cited

Enhancing Local Feature Learning for 3D Point Cloud Processing using Unary-Pairwise Attention

Haoyi Xiu, Xin Liu, Weimin Wang +4

We present a simple but effective attention named the unary-pairwise attention (UPA) for modeling the relationship between 3D point clouds. Our idea is motivated by the analysis th…