As a core task of computer vision perception, 3D scene understanding has received
widespread attention. However, the current research mainly focuses on the semantic …

Abstract 3D scene graph generation (SGG) aims to predict the class of objects and
predicates simultaneously in one 3D point cloud scene with instance segmentation. Since …

With the advancement of intelligent agents, 3D scene understanding has become one of key
tasks of computer vision. 3D scene understanding is challenging to represent effectively …

Scene recognition is a fundamental task in 3-D scene understanding. It answers the
question,“What is this place?” In an indoor environment, the answer can be an office …

This work introduces a new task of instance-incremental scene graph generation: Given a
scene of the point cloud, representing it as a graph and automatically increasing novel …

Point cloud analysis, arising from computer graphics, remains a fundamental but
challenging problem, mainly due to the non-Euclidean property of point cloud data modality …

Fairness is a critical aspect of Artificial Intelligence (AI) techniques. The ability of multimodal
AI systems for scene understanding and visual reasoning to make unbiased decisions is …

The surge in 3D modelling has led to a pronounced research emphasis on the field of 3D
shape retrieval. Numerous contemporary approaches have been put forth to tackle this …

Understanding a visual scene requires not only identifying single objects in isolation but
also inferring the relationships and interactions between object pairs. In this study, we …

Scene graph generation (SGG) aims to detect objects and their relationships in an image,
thereby enabling a detailed understanding of a complex scene for various real-world …