7 citations · 8 across the 3 of their papers we have counts for
3 papers
eess.IV2020★ 7 cited
MDCN: Multi-scale Dense Cross Network for Image Super-Resolution
Juncheng Li, Faming Fang, Jiaqian Li +2
Convolutional neural networks have been proven to be of great benefit for single-image super-resolution (SISR). However, previous works do not make full use of multi-scale features…
cs.CV2020★ 1 cited
Disentangle Perceptual Learning through Online Contrastive Learning
Kangfu Mei, Yao Lu, Qiaosi Yi +3
Pursuing realistic results according to human visual perception is the central concern in the image transformation tasks. Perceptual learning approaches like perceptual loss are em…
eess.IV2019
HighEr-Resolution Network for Image Demosaicing and Enhancing
Kangfu Mei, Juncheng Li, Jiajie Zhang +3
Neural-networks based image restoration methods tend to use low-resolution image patches for training. Although higher-resolution image patches can provide more global information,…