Guofeng Zou
Orcid: 0000-0002-8023-0142
According to our database1,
Guofeng Zou
authored at least 24 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Weak Feature Defect Detection of Insulators Considering Class Boundaries and Interclass Dependencies.
IEEE Trans. Instrum. Meas., 2024
2023
Unsupervised person re-identification based on distribution regularization constrained asymmetric metric learning.
Appl. Intell., December, 2023
Multim. Syst., October, 2023
EA-EDNet: encapsulated attention encoder-decoder network for 3D reconstruction in low-light-level environment.
Multim. Syst., August, 2023
Remote. Sens., July, 2023
Clust. Comput., April, 2023
Few-shot person re-identification based on Feature Set Augmentation and Metric Fusion.
Eng. Appl. Artif. Intell., 2023
Few-Shot Person Re-identification Based on Hybrid Pooling Fusion and Gaussian Relation Metric.
Proceedings of the Biometric Recognition - 17th Chinese Conference, 2023
2022
Signal Image Video Process., 2022
Series Arc Fault Detection in a Low-Voltage Power System Based on CEEMDAN Decomposition and Sensitive IMF Selection.
J. Sensors, 2022
Visual tracking for UAV using adaptive spatio-temporal regularized correlation filters.
Appl. Intell., 2022
2021
Multim. Tools Appl., 2021
Appl. Intell., 2021
2020
A new approach for small sample face recognition with pose variation by fusing Gabor encoding features and deep features.
Multim. Tools Appl., 2020
Adv. Multim., 2020
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020
2019
Denoising Method for Passive Photon Counting Images Based on Block-Matching 3D Filter and Non-Subsampled Contourlet Transform.
Sensors, 2019
A novel construction method of convolutional neural network model based on data-driven.
Multim. Tools Appl., 2019
RGB-D-Based Object Recognition Using Multimodal Convolutional Neural Networks: A Survey.
IEEE Access, 2019
2018
2016
Neural Process. Lett., 2016
2013
A Novel Coupled Metric Learning Method and Its Application in Degraded Face Recognition.
Proceedings of the Biometric Recognition - 8th Chinese Conference, 2013