KNN-based color line model for image matting. - Meiguang Jin; Byoung-Kwang Kim; Woo-Jin Song (ICIP, 2013)

A random-forest random field approach for cellular image segmentation. - Meiguang Jin; Lakshmi Narasimhan Govindarajan; Li Cheng 001 (ISBI, 2014)

Local and Nonlocal Color Line Models for Image Matting. - Byoung-Kwang Kim; Meiguang Jin; Woo-Jin Song (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2014)

Adaptive Propagation-Based Color-Sampling for Alpha Matting. - Meiguang Jin; Byoung-Kwang Kim; Woo-Jin Song (IEEE Trans. Circuits Syst. Video Technol., 2014)

Bilayer Blind Deconvolution with the Light Field Camera. - Meiguang Jin; Paramanand Chandramouli; Paolo Favaro (ICCV Workshops, 2015)

Noise-Blind Image Deblurring. - Meiguang Jin; Stefan Roth 001; Paolo Favaro (CVPR, 2017)

Deep Mean-Shift Priors for Image Restoration. - Siavash Arjomand Bigdeli; Matthias Zwicker; Paolo Favaro; Meiguang Jin (NIPS, 2017)

Learning Face Deblurring Fast and Wide. - Meiguang Jin; Michael Hirsch; Paolo Favaro (CVPR Workshops, 2018)

Learning to Extract a Video Sequence From a Single Motion-Blurred Image. - Meiguang Jin; Givi Meishvili; Paolo Favaro (CVPR, 2018)

Normalized Blind Deconvolution. - Meiguang Jin; Stefan Roth 001; Paolo Favaro (ECCV (7), 2018)

Learning to see through reflections. - Meiguang Jin; Sabine Süsstrunk; Paolo Favaro (ICCP, 2018)

Plenoptic Image Motion Deblurring. - Paramanand Chandramouli; Meiguang Jin; Daniele Perrone; Paolo Favaro (IEEE Trans. Image Process., 2018)

Motion Deblurring from a Single Image. - Meiguang Jin (2018)

Learning to Extract Flawless Slow Motion From Blurry Videos. - Meiguang Jin; Zhe Hu; Paolo Favaro (CVPR, 2019)

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. - Yawei Li 001; Kai Zhang 008; Radu Timofte; Luc Van Gool; Fangyuan Kong; Mingxi Li; Songwei Liu; Zongcai Du; Ding Liu 001; Chenhui Zhou; Jingyi Chen; Qingrui Han; et al. (CVPR Workshops, 2022)

AdaInt: Learning Adaptive Intervals for 3D Lookup Tables on Real-time Image Enhancement. - Canqian Yang; Meiguang Jin; Xu Jia 012; Yi Xu 001; Ying Chen (CVPR, 2022)

SepLUT: Separable Image-Adaptive Lookup Tables for Real-Time Image Enhancement. - Canqian Yang; Meiguang Jin; Yi Xu 001; Rui Zhang 052; Ying Chen; Huaida Liu (ECCV (18), 2022)

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. - Yawei Li 001; Kai Zhang 008; Radu Timofte; Luc Van Gool; Fangyuan Kong; Mingxi Li; Songwei Liu; Zongcai Du; Ding Liu 001; Chenhui Zhou; Jingyi Chen; Qingrui Han; et al. (CoRR, 2022)

MFDNet: Towards Real-time Image Denoising On Mobile Devices. - Zhuoqun Liu; Meiguang Jin; Ying Chen; Huaida Liu; Canqian Yang; Hongkai Xiong (CoRR, 2022)

Lightweight Network Towards Real-Time Image Denoising On Mobile Devices. - Zhuoqun Liu; Meiguang Jin; Ying Chen; Huaida Liu; Canqian Yang; Hongkai Xiong (ICIP, 2023)

Toward Tiny and High-Quality Facial Makeup with Data Amplify Learning. - Qiaoqiao Jin; Xuanhong Chen; Meiguang Jin; Ying Chen; Rui Shi; Yucheng Zheng; Yupeng Zhu; Bingbing Ni (ECCV (27), 2024)

Toward Tiny and High-quality Facial Makeup with Data Amplify Learning. - Qiaoqiao Jin; Xuanhong Chen; Meiguang Jin; Ying Cheng; Rui Shi; Yucheng Zheng; Yupeng Zhu; Bingbing Ni (CoRR, 2024)