AIM 2019 Challenge on RAW to RGB Mapping: Methods and Results. - Andrey Ignatov; Juncheng Li 003; Jiajie Zhang; Haoyu Wu; Jie Li 098; Rui Huang 001; Muhammad Haris 002; Greg Shakhnarovich; Norimichi Ukita; Yuzhi Zhao; Lai-Man Po; Radu Timofte; et al. (ICCV Workshops, 2019)

AIM 2020 Challenge on Learned Image Signal Processing Pipeline. - Andrey Ignatov; Radu Timofte; Zhilu Zhang 001; Ming Liu 018; Haolin Wang; Wangmeng Zuo; Jiawei Zhang 002; Ruimao Zhang; Zhanglin Peng; Sijie Ren; Linhui Dai; Xiaohong Liu 001; et al. (ECCV Workshops (3), 2020)

A Super-Fast Deep Network for Moving Object Detection. - Bingxin Hou; Ying Liu 026; Nam Ling (ISCAS, 2020)

Potentialities of multi-b-values diffusion-weighted imaging for predicting efficacy of concurrent chemoradiotherapy in cervical cancer patients. - Bing Liu; Wan-Ling Ma; Guang-Wen Zhang; Zhen Sun; Meng-Qi Wei; Wei-Huan Hou; Bingxin Hou; Li-Chun Wei; Yi Huan (BMC Medical Imaging, 2020)

AIM 2020 Challenge on Learned Image Signal Processing Pipeline. - Andrey Ignatov; Radu Timofte; Zhilu Zhang 001; Ming Liu 018; Haolin Wang; Wangmeng Zuo; Jiawei Zhang 002; Ruimao Zhang; Zhanglin Peng; Sijie Ren; Linhui Dai; Xiaohong Liu 001; et al. (CoRR, 2020)

F3DsCNN: A Fast Two-Branch 3D Separable CNN for Moving Object Detection. - Bingxin Hou; Ying Liu 022; Nam Ling; Lingzhi Liu; Yongxiong Ren; Ming Kai Hsu (VCIP, 2021)

A Fast Lightweight 3D Separable Convolutional Neural Network With Multi-Input Multi-Output for Moving Object Detection. - Bingxin Hou; Ying Liu 022; Nam Ling; Lingzhi Liu; Yongxiong Ren (IEEE Access, 2021)