1 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.CV2022★ 1 cited
Hierarchical Similarity Learning for Aliasing Suppression Image Super-Resolution
Yuqing Liu, Qi Jia, Jian Zhang +4
As a highly ill-posed issue, single image super-resolution (SISR) has been widely investigated in recent years. The main task of SISR is to recover the information loss caused by t…
cs.CV2022★ 1 cited
Learning Weighting Map for Bit-Depth Expansion within a Rational Range
Yuqing Liu, Qi Jia, Jian Zhang +4
Bit-depth expansion (BDE) is one of the emerging technologies to display high bit-depth (HBD) image from low bit-depth (LBD) source. Existing BDE methods have no unified solution f…
eess.IV2022
Cross-SRN: Structure-Preserving Super-Resolution Network with Cross Convolution
Yuqing Liu, Qi Jia, Xin Fan +3
It is challenging to restore low-resolution (LR) images to super-resolution (SR) images with correct and clear details. Existing deep learning works almost neglect the inherent str…