Shuanlong Niu

Orcid: 0000-0002-7970-6035

Affiliations:

Huazhong University of Science and Technology, School of Mechanical Science and Engineering, Wuhan, China

According to our database¹, Shuanlong Niu authored at least 12 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

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Bibliography

2024

A novel deep learning motivated data augmentation system based on defect segmentation requirements.

[BibT_eX]

[DOI]

J. Intell. Manuf., February, 2024

A drift detection method for industrial images based on a defect segmentation model.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2024

NAS-ASDet: An adaptive design method for surface defect detection network using neural architecture search.

[BibT_eX]

[DOI]

Adv. Eng. Informatics, 2024

2023

A transformed-feature-space data augmentation method for defect segmentation.

[BibT_eX]

[DOI]

Comput. Ind., May, 2023

Selecting informative data for defect segmentation from imbalanced datasets via active learning.

[BibT_eX]

[DOI]

Adv. Eng. Informatics, April, 2023

NAS-ASDet: An Adaptive Design Method for Surface Defect Detection Network using Neural Architecture Search.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Region- and Strength-Controllable GAN for Defect Generation and Segmentation in Industrial Images.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2022

Joint-Prior-Based Uneven Illumination Image Enhancement for Surface Defect Detection.

[BibT_eX]

[DOI]

Symmetry, 2022

Defect attention template generation cycleGAN for weakly supervised surface defect segmentation.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

2020

Defect Image Sample Generation With GAN for Improving Defect Recognition.

[BibT_eX]

[DOI]

IEEE Trans Autom. Sci. Eng., 2020

Uneven Illumination Surface Defects Inspection Based on Saliency Detection and Intrinsic Image Decomposition.

[BibT_eX]

[DOI]

IEEE Access, 2020

2019

DefectGAN: Weakly-Supervised Defect Detection using Generative Adversarial Network.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

Shuanlong Niu

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