Abstract: Aiming at the issue of numerous redundant, noisy, and outlier points in the reconstructed point cloud of aero-engine blade surfaces, which significantly affects reconstruction accuracy and ...

Abstract: Self-supervised learning of point cloud aims to leverage unlabeled 3D data to learn meaningful representations without reliance on manual annotations. However, current approaches face ...

This repository contains sample 3D point cloud files in various "archive-friendly" formats and subversions, designed for testing with digital preservation tools developed within the NFDI4Culture ...

Matt Korda, the associate director of the Nuclear Information Project at the Federation of American Scientists, assisted USA ...

This repository contains the implementation of the experiments presented in our paper "Open-Set Gait Recognition from Sparse mmWave Radar Point Clouds". It is available in early access at this link.

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