Abstract: Traffic flow prediction is essential for intelligent transportation systems, yet privacy concerns and limited cross-regional data sharing hinder accurate modeling of global traffic patterns.
Abstract: Real-world point clouds exhibit non-uniform density distributions, varying across distance and scale. Conventional upsampling methods typically treat points homogeneously, which over-smooths ...
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