3 citations · 4 across the 3 of their papers we have counts for
3 papers
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…
cs.DB2020★ 1 cited
GeoFlink: A Distributed and Scalable Framework for the Real-time Processing of Spatial Streams
Salman Ahmed Shaikh, Komal Mariam, Hiroyuki Kitagawa +1
Apache Flink is an open-source system for scalable processing of batch and streaming data. Flink does not natively support efficient processing of spatial data streams, which is a…