Self-calibrated Attention Neural Network for Real-World Super Resolution. - Kaihua Cheng; Chenhuan Wu (ECCV Workshops (3), 2020)

AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results. - Pengxu Wei; Hannan Lu; Radu Timofte; Liang Lin; Wangmeng Zuo; Zhihong Pan 001; Baopu Li; Teng Xi; Yanwen Fan; Gang Zhang; Jingtuo Liu; Junyu Han; et al. (ECCV Workshops (3), 2020)

Fast Image Super-Resolution Based on Limit Gradient Embedding Cascaded Forest. - Xin Yang 002; Chenhuan Wu; Dake Zhou; Tao Li 011 (Circuits Syst. Signal Process., 2022)

NasmamSR: a fast image super-resolution network based on neural architecture search and multiple attention mechanism. - Xin Yang 002; Jiangfeng Fan; Chenhuan Wu; Dake Zhou; Tao Li 011 (Multim. Syst., 2022)

SCCADC-SR: a real image super-resolution based on self-calibration convolution and adaptive dense connection. - Xin Yang 002; Hengrui Li; Chenhuan Wu; Tao Li 011 (Multim. Tools Appl., 2023)