3 accepted papers
Point cloud completion aims to reconstruct complete 3D shapes from partial 3D point clouds. With advancements in deep learning techniques, various methods for point cloud completion have been developed. Despite achieving encouraging results, a significant issue remains: these methods often overlook…
Masked point modeling methods have recently achieved great success in self-supervised learning for point cloud data. However, these methods are sensitive to rotations and often exhibit sharp performance drops when encountering rotational variations. In this paper, we propose a novel Rotation-Invaria…
The millimeter-wave (mmWave) radar-based gait recognition technology has attracted significant attention due to its cost-effectiveness and weather resilience. The majority of existing methods are primarily designed for the recognition of gait patterns on the fixed route, and they achieve significant…