The video game has been part of tech culture since it launched in 1993, with its signature view of a gun centered of the ...

Abstract: A dynamic multi-scale spatiotemporal graph recurrent neural network (DMST-GRNN) model has been introduced, which is leveraged to use human motion prediction on a 3D skeleton-based human ...

Node-based tools are the most capable way to build repeatable 3D pipelines, but they have historically required local ...

Abstract: Cross-modal 3D shape retrieval is a crucial and widely applied task in the field of 3D vision. Its goal is to construct retrieval representations capable of measuring the similarity between ...

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 ...