Huifang Feng

Orcid: 0000-0002-6874-698X

Affiliations:

Xiamen University, Fujian Key Laboratory of Sensing and Computing for Smart Cities, Xiamen, China

According to our database¹, Huifang Feng authored at least 8 papers between 2006 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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Bibliography

2024

Crack-U<sup>2</sup>Net: Multiscale Feature Learning Network for Pavement Crack Detection From Large-Scale MLS Point Clouds.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., November, 2024

2023

SCL-GCN: Stratified Contrastive Learning Graph Convolution Network for pavement crack detection from mobile LiDAR point clouds.

[BibT_eX]

[DOI]

Int. J. Appl. Earth Obs. Geoinformation, April, 2023

Neural Gradient Learning and Optimization for Oriented Point Normal Estimation.

[BibT_eX]

[DOI]

Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

NeuralGF: Unsupervised Point Normal Estimation by Learning Neural Gradient Function.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

GCN-Based Pavement Crack Detection Using Mobile LiDAR Point Clouds.

[BibT_eX]

[DOI]

Sarah Narges Fatholahi

IEEE Trans. Intell. Transp. Syst., 2022

Automated extraction of building instances from dual-channel airborne LiDAR point clouds.

[BibT_eX]

[DOI]

Int. J. Appl. Earth Obs. Geoinformation, 2022

2006

SVM-Based Models for Predicting WLAN Traffic.

[BibT_eX]

[DOI]

Proceedings of IEEE International Conference on Communications, 2006

Huifang Feng

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