Peixin Qu

According to our database, Peixin Qu authored at least 8 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A Survey of Deep Learning-Based Low-Light Image Enhancement.

Zhen Tian, Peixin Qu, Jielin Li, Yukun Sun, Guohou Li, Zheng Liang, Weidong Zhang

Sensors, September, 2023

Feature selection and cascade dimensionality reduction for self-supervised visual representation learning.

Peixin Qu, Songlin Jin, Yongqin Tian, Ling Zhou, Ying Zheng, Weidong Zhang, Yibo Xu, Xipeng Pan, Wenyi Zhao

Comput. Electr. Eng., March, 2023

DAMNet: Dual Attention Mechanism Deep Neural Network for Underwater Biological Image Classification.

Peixin Qu, Tengfei Li, Ling Zhou, Songlin Jin, Zheng Liang, Wenyi Zhao, Weidong Zhang

IEEE Access, 2023

2022

Multi-feature embedded learning SVM for cloud detection in remote sensing images.

Weidong Zhang, Songlin Jin, Ling Zhou, Xiwang Xie, Fangyuan Wang, Lili Jiang, Ying Zheng, Peixin Qu, Guohou Li, Xipeng Pan

Comput. Electr. Eng., 2022

Spatial-spectral feature extraction of hyperspectral images for wheat seed identification.

Songlin Jin, Weidong Zhang, Pengfei Yang, Ying Zheng, Jinliang An, Ziyang Zhang, Peixin Qu, Xipeng Pan

Comput. Electr. Eng., 2022

Color Correction and Local Contrast Enhancement for Underwater Image Enhancement.

Songlin Jin, Peixin Qu, Ying Zheng, Wenyi Zhao, Weidong Zhang

IEEE Access, 2022

2020

SM-UAN: A Software-Defined Underwater Acoustic Network of Multi-Controllers for Inland Waterway Systems.

Jianping Wang, Lv Yingying, Wei Chen, Guohong Gao, Peixin Qu, Zhou Yu

IEEE Access, 2020

2019

A Software-Defined Clustering Mechanism for Underwater Acoustic Sensor Networks.

Jianping Wang, Guohong Gao, Peixin Qu, Wei Chen, Shujing Zhang, Xiangang Zuo, Zhou Yu

IEEE Access, 2019