Weiwei Jin

affiliation not provided to SSRN

SCHOLARLY PAPERS

5

DOWNLOADS

282

TOTAL CITATIONS

4

Scholarly Papers (5)

1.

Graph Transformer for 3d Point Clouds Classification and Semantic Segmentation

Number of pages: 13 Posted: 24 May 2024
Wei Zhou, Qian Wang, Weiwei Jin, Xinzhe Shi and Ying He
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 116 (525,039)
Citation 4

Abstract:

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Point Cloud, Graph Transformer, Shape Classification, Semantic Segmentation, Deep learning

2.

Advancements in Deep Learning for Point Cloud Classification and Segmentation: A Comprehensive Review

Number of pages: 29 Posted: 14 Aug 2024
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 66 (750,192)

Abstract:

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3D Point Cloud Understanding, Supervised Learning, Unsupervised Learning, Classification and Segmentation, Mamba

3.

Improving Point Clouds Classification and Segmentation by Generating Coarse-to-Fine-Grained and Cross-Modal Multi-Scale Features

Number of pages: 14 Posted: 05 Apr 2024
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 55 (824,136)

Abstract:

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Point Clouds, Coarse-to-fine-grained, Multi-scale, Cross-modal, Segmentation

4.

Exploring Multi-Scale and Cross-Type Features in 3d Point Cloud Learning with Ccmnet

Number of pages: 31 Posted: 09 Sep 2024
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 26 (1,103,418)

Abstract:

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Voxel Representation, Multi-Granularity Analysis, multi-scale features, Cross-Type Feature Integration, Spatial Information Extraction

5.

Improving Point Clouds Classification and Segmentation by Generating Coarse-to-Fine-Grained and Cross-Type Multi-Scale Features

Number of pages: 14 Posted: 27 Jun 2024
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 19 (1,188,721)

Abstract:

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Point Clouds, Coarse-to-fine-grained, Multi-scale, Cross-type, Segmentation