Tracking 3D objects accurately and consistently is crucial for autonomous vehicles, enabling more reliable downstream tasks such as trajectory prediction and motion planning. Based on the substantial ...

First, we leverage a 3D scene graph as a compact representation of the environment and propose a relation prediction model based on graph neural networks. This model can effectively interpret the ...

DCGCN decomposes the 3D point cloud data of a molecule into three components: atomic sequence, atomic connectivity, and a distance map. From its connectivity and distance information, DCGCN captures ...