The tasks of self-supervised and weakly-supervised point cloud completion involve reconstructing missing regions of these incomplete objects without the supervision of complete ground truth. Current ...

Point cloud videos can faithfully capture real-world spatial geometries ... performance on the MSR-Action3D action recognition (+10.4% accuracy), HOI4D action segmentation (+0.7 F1 Score), and ...

GlORIE-SLAM produces accurate dense geometry and camera tracking on large-scale indoor scenes thanks to our deformable scene representation and DSPO layer. GlORIE-SLAM uses a deformable point cloud as ...

Abstract: Three-dimensional point cloud semantic segmentation is a fundamental task in computer vision. As the fully supervised approaches suffer from the generalization issue with limited data, ...

Micro-segmentation offers a promising solution by implementing fine-grained, workload-specific network security policies to mitigate potential attacks. However, the dynamic nature and large scale of ...

It utilizes multi-spectral image data from unmanned aerial vehicles (UAVs), light detection and ranging (LiDAR) point cloud technology ... mutual information value achieved under different ...