2 citations · 2 across the 1 of their papers we have counts for
2 papers
eess.IV2020
UMLE: Unsupervised Multi-discriminator Network for Low Light Enhancement
Yangyang Qu, Kai Chen, Chao Liu +1
Low-light image enhancement, such as recovering color and texture details from low-light images, is a complex and vital task. For automated driving, low-light scenarios will have s…
eess.IV2020★ 2 cited
LEUGAN:Low-Light Image Enhancement by Unsupervised Generative Attentional Networks
Yangyang Qu, Chao liu, Yongsheng Ou
Restoring images from low-light data is a challenging problem. Most existing deep-network based algorithms are designed to be trained with pairwise images. Due to the lack of real-…