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 ...

Built and analyzed a social network graph using Python and NetworkX. Explored key metrics like centrality, density, and community structure to uncover hidden patterns in connections.

Revealed on Friday, the alleged plot was uncovered in the city of Novorossiysk, home to a large Russian Navy base. The suspect, a Belarusian in his mid-20s, admitted to investigators that he intended ...

According to mathematical legend, Peter Sarnak and Noga Alon made a bet about optimal graphs in the late 1980s ... they’re still resistant to potential network failures. This tension, Sarnak said, ...

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However, the problem of monocular 3D whole-body pose estimation remains inadequately addressed, with significant shortcomings in accuracy. This paper introduces a High-Resolution Graph Convolutional ...