Among these, 3D point cloud segmentation and semantic segmentation are two key technologies. Although both fall under the category of point cloud processing, there are essential differences in target ...

Abstract: Large-scale point cloud semantic segmentation is a challenging task due to the complexity and diversity of real-world 3-D scenes. Most existing methods primarily rely on spatial coordinates ...

Given $n$ line segments on the plane. It is required to check whether at least two of them intersect with each other. If the answer is yes, then print this pair of ...

3D point cloud segmentation has received significant interest for its growing applications. However, the generalization ability of models suffers in dynamic scenarios due to the distribution shift ...

THE opening sentence of the Preface—“The author has attempted to bring together all the well-known theorems and examples connected with Harmonics, Anharmonics, Involution, Projection (including ...