To this end, we propose a novel self-supervised early 3D behavior prediction frame-work that learns graph structures on hyperbolic manifold. Firstly, we employ the sequence construction of ...

To address this challenge, we develop a method to construct a graph-structured 3D representation called COGraph, where nodes represent objects with semantic features and edges capture their spatial ...

Reimer and collaborators explain the different ways that someone can use the annotated 3D graphs produced by NEURD. For example, to categorize different classes of neurons and then calculate the ...