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 12 papers between 2006 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
PFF-Net: Patch Feature Fitting for Point Cloud Normal Estimation.
IEEE Trans. Vis. Comput. Graph., February, 2026

2025
VA-GS: Enhancing the Geometric Representation of Gaussian Splatting via View Alignment.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Learning Normals of Noisy Points by Local Gradient-Aware Surface Filtering.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024
Learning Signed Hyper Surfaces for Oriented Point Cloud Normal Estimation.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Crack-U<sup>2</sup>Net: Multiscale Feature Learning Network for Pavement Crack Detection From Large-Scale MLS Point Clouds.
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.
Int. J. Appl. Earth Obs. Geoinformation, April, 2023

Neural Gradient Learning and Optimization for Oriented Point Normal Estimation.
Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

NeuralGF: Unsupervised Point Normal Estimation by Learning Neural Gradient Function.
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.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
GCN-Based Pavement Crack Detection Using Mobile LiDAR Point Clouds.
IEEE Trans. Intell. Transp. Syst., 2022

Automated extraction of building instances from dual-channel airborne LiDAR point clouds.
Int. J. Appl. Earth Obs. Geoinformation, 2022

2006
SVM-Based Models for Predicting WLAN Traffic.
Proceedings of IEEE International Conference on Communications, 2006


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