Lighting the Darkness in the Deep Learning Era. - Chongyi Li; Chunle Guo; Linghao Han; Jun Jiang; Ming-Ming Cheng; Jinwei Gu; Chen Change Loy (CoRR, 2021)

NTIRE 2022 Challenge on Night Photography Rendering. - Egor I. Ershov; Alexey Savchik; Denis A. Shepelev; Nikola Banic; Michael S. Brown; Radu Timofte; Karlo Koscevic; Michael Freeman; Vasily Tesalin; Dmitry Bocharov; Illya Semenkov; Marko Subasic; et al. (CVPR Workshops, 2022)

Multi-Mode Interactive Image Segmentation. - Zheng Lin 005; Zhao Zhang 018; Linghao Han; Shao-Ping Lu (ACM Multimedia, 2022)

Online Attention Accumulation for Weakly Supervised Semantic Segmentation. - Peng-Tao Jiang; Linghao Han; Qibin Hou; Ming-Ming Cheng; Yunchao Wei (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Low-Light Image and Video Enhancement Using Deep Learning: A Survey. - Chongyi Li; Chunle Guo; Linghao Han; Jun Jiang; Ming-Ming Cheng; Jinwei Gu; Chen Change Loy (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Underwater Ranker: Learn Which Is Better and How to Be Better. - Chunle Guo; Ruiqi Wu; Xin Jin 005; Linghao Han; Weidong Zhang 007; Zhi Chai; Chongyi Li (AAAI, 2023)

DNF: Decouple and Feedback Network for Seeing in the Dark. - Xin Jin 005; Linghao Han; Zhen Li 031; Chun-Le Guo; Zhi Chai; Chongyi Li (CVPR, 2023)

AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation. - Zhen Li 031; Zuo-Liang Zhu; Linghao Han; Qibin Hou; Chun-Le Guo; Ming-Ming Cheng (CVPR, 2023)

Lighting Every Darkness in Two Pairs : A Calibration-Free Pipeline for RAW Denoising. - Xin Jin 005; Jia-Wen Xiao; Linghao Han; Chunle Guo; Ruixun Zhang; Xialei Liu; Chongyi Li (ICCV, 2023)

Deeply Explain CNN Via Hierarchical Decomposition. - Ming-Ming Cheng; Peng-Tao Jiang; Linghao Han; Liang Wang 001; Philip H. S. Torr (Int. J. Comput. Vis., 2023)