This paper proposes a novel kernel-based feature aggregation framework for 3D point cloud analysis for the first time.

To this end, this paper proposes a novel kernel-based feature aggregation framework for 3D point cloud analysis for the first time. The proposed method ...

Dec 31, 2022 · And based on our insightful analysis, a kernel-based feature aggregation framework is innovatively proposed for orderless point analysis via ...

To this end, this paper proposes a novel kernel-based feature aggregation framework for 3D point cloud analysis for the first time. The proposed method ...

Dec 22, 2020 · In this paper, we present a new local feature description method that is robust to rotation, density, and scale variations. Moreover, to improve ...

Our model performs well on several basic point clouds processing tasks such as classification, segmentation, and normal estimation, demonstrating the ...

Mar 18, 2023 · In this paper, we present a new local feature description method that is robust to rotation and scale variations. Moreover, we improve ...

This study presents a convolutional neural network (CNN)-based feature-scheduling aggregation clustering framework designed to address the limitations of ...

Apr 23, 2025 · In this paper, we propose a novel three-dimensional spatial convolution operator called frame points attention convolution (FPAC).

Nov 27, 2023 · A semantic segmentation network that uses local feature fusion and a multilayer attention mechanism is proposed to address these challenges.