No-Reference Stereoscopic Image Quality Assessment by Both Complex Contourlet Domain with Spatial Domain Features. - Tuxin Guan; Chaofeng Li; Jian Ma (CISP-BMEI, 2019)

No-reference stereoscopic image quality assessment using quaternion wavelet transform and heterogeneous ensemble learning. - Hui Wang; Chaofeng Li; Tuxin Guan; Shenghu Zhao (Displays, 2021)

Completely blind image quality assessment via contourlet energy statistics. - Chaofeng Li; Tuxin Guan; Yuhui Zheng; Bo Jin 001; Xiaojun Wu 001; Alan C. Bovik (IET Image Process., 2021)

Blind image quality assessment in the contourlet domain. - Chaofeng Li; Tuxin Guan; Yuhui Zheng; Xiaochun Zhong; Xiaojun Wu 001; Alan C. Bovik (Signal Process. Image Commun., 2021)

No-reference stereoscopic image quality assessment on both complex contourlet and spatial domain via Kernel ELM. - Tuxin Guan; Chaofeng Li; Yuhui Zheng; Shenghu Zhao; Xiaojun Wu 001 (Signal Process. Image Commun., 2022)

Visibility and Distortion Measurement for No-Reference Dehazed Image Quality Assessment via Complex Contourlet Transform. - Tuxin Guan; Chaofeng Li; Ke Gu 001; Hantao Liu; Yuhui Zheng; Xiaojun Wu 001 (IEEE Trans. Multim., 2023)

Underwater Object Detection Based on Improved Transformer and Attentional Supervised Fusion. - Zhi Li; Chaofeng Li; Tuxin Guan; Shaopeng Shang (Inf. Technol. Control., 2023)

A novel complex-valued convolutional network for real-world single image dehazing. - Xinxiu Xie; Chaofeng Li; Tuxin Guan; Yuhui Zheng; Xiaojun Wu 001 (J. Vis. Commun. Image Represent., 2023)

Dual-Stream Complex-Valued Convolutional Network for Authentic Dehazed Image Quality Assessment. - Tuxin Guan; Chaofeng Li; Yuhui Zheng; Xiaojun Wu 001; Alan C. Bovik (IEEE Trans. Image Process., 2024)