Current 3D open-vocabulary scene understanding methods mostly utilize
we...
3D semantic segmentation on multi-scan large-scale point clouds plays an...
Few-shot semantic segmentation (FSS) aims to form class-agnostic models
...
In this work, we propose SAM3D, a novel framework that is able to predic...
Multi-view 3D object detection is becoming popular in autonomous driving...
Few-shot semantic segmentation (FSS) aims to form class-agnostic models
...
Current point cloud segmentation architectures suffer from limited long-...
A recent study has shown a phenomenon called neural collapse in that the...
As a pioneering work exploring transformer architecture for 3D point clo...
Loop filters are used in video coding to remove artifacts or improve
per...