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Abstract: Learning to build 3D scene graphs is essential for real-world perception in a structured and rich fashion. However, previous 3D scene graph generation methods utilize a fully supervised ...

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 ...

New Zealand's gun regulators have destroyed several plastic, 3D-printed guns that FBI Director Kash Patel gave the country's top law enforcement officials as part of a gift in July. Patel visited ...

In this paper, we present VoxT-GNN, an innovative framework that harnesses the strengths of both Transformer and Graph Neural Network architectures for 3D object detection from LiDAR point clouds.

We introduce InterAct, a comprehensive large-scale 3D human-object interaction (HOI) dataset, originally comprising 21.81 hours of HOI data consolidated from diverse sources, the dataset is ...