Fast-Settling Feedforward Automatic Gain Control Based on a New Gain Control Approach. - Xin Cheng 001; Guangjun Xie; Zhang Zhang 004; Yizhong Yang (IEEE Trans. Circuits Syst. II Express Briefs, 2014)

Moving Object Detection for Dynamic Background Scenes Based on Spatiotemporal Model. - Yizhong Yang; Qiang Zhang 006; Pengfei Wang 003; Xionglou Hu; Nengju Wu (Adv. Multim., 2017)

End-to-End Background Subtraction via a Multi-Scale Spatio-Temporal Model. - Yizhong Yang; Tao Zhang; Jinzhao Hu; Dong Xu; Guangjun Xie (IEEE Access, 2019)

Using correction parameters to improve real-time video interpolation in low-cost VLSI implementation. - Haowei Guan; Zhang Zhang 004; Xin Cheng 001; Yizhong Yang; Guangjun Xie (Microelectron. J., 2021)

STPNet: A Spatial-Temporal Propagation Network for Background Subtraction. - Yizhong Yang; Jiahao Ruan; Yongqiang Zhang 006; Xin Cheng 001; Zhang Zhang 004; Guangjun Xie (IEEE Trans. Circuits Syst. Video Technol., 2022)

MSE-Net: generative image inpainting with multi-scale encoder. - Yizhong Yang; Zhihang Cheng; Haotian Yu; Yongqiang Zhang 006; Xin Cheng 001; Zhang Zhang 004; Guangjun Xie (Vis. Comput., 2022)

Cascaded deep residual learning network for single image dehazing. - Yizhong Yang; Ce Hou; Haixia Huang; Zhang Zhang 004; Guangjun Xie (Multim. Syst., 2023)

A multi-scale inputs and labels model for background subtraction. - Yizhong Yang; Dajin Li; Xiang Li; Zhang Zhang 004; Guangjun Xie (Signal Image Video Process., 2023)

A multi-scale feature fusion spatial-channel attention model for background subtraction. - Yizhong Yang; Tingting Xia; Dajin Li; Zhang Zhang 004; Guangjun Xie (Multim. Syst., 2023)

Cascaded refinement residual attention network for image outpainting. - Yizhong Yang; Shanshan Yao; Changjiang Liu; Zhang Zhang 004; Guangjun Xie (Multim. Syst., 2024)