Abstract: The field of human motion prediction has gained prominence, finding applications in various domains such as intelligent surveillance and human–robot interaction. However, predicting ...

Computer simulations carried out by astronomers from the University of Groningen in collaboration with researchers from ...

Amerman Racing's Test Score outran stablemate One Stripe to give trainer Graham Motion a 1-2 finish in the $937,800 Pegasus ...

Abstract: To achieve robot motion imitating, it is important to ensure morphological similarity, physical feasibility, and generalization of actions between robots and motion capture datasets.

Unreal Engine motion design for free: 17 videos, 10 scenes, GPU fans, and all. Jesse Pitela’s course covers UE5.7’s new motion toolset. Jesse Pitela, Unreal Engine-authorised instructor and founder of ...

The Drude-Lorentz model examined in the previous issue lends to the simulation of electron motion in the Mathematica computing environment. The title of this article refers to graphene because of its ...

Strong regenerative braking can cause passengers to feel queasy. An oft-touted advantage of owning an electric vehicle is one-pedal driving, when drivers can slow down a vehicle simply by lifting off ...

This is the implementation of the Graph Attention Structure-from-Motion (GASFM) architecture, presented in our CVPR 2024 paper Learning Structure-from-Motion with Graph Attention Networks. The ...

We propose hierarchical semantic graphs for fine-grained control over motion generation. Specifically, we disentangle motion descriptions into hierarchical semantic graphs including three levels of ...