4 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.CV2021★ 4 cited
m-RevNet: Deep Reversible Neural Networks with Momentum
Duo Li, Shang-Hua Gao
In recent years, the connections between deep residual networks and first-order Ordinary Differential Equations (ODEs) have been disclosed. In this work, we further bridge the deep…
cs.CV2021★ 3 cited
A low-rank representation for unsupervised registration of medical images
Dengqiang Jia, Shangqi Gao, Qunlong Chen +2
Registration networks have shown great application potentials in medical image analysis. However, supervised training methods have a great demand for large and high-quality labeled…
cs.CV2021★ 1 cited
VSpSR: Explorable Super-Resolution via Variational Sparse Representation
Hangqi Zhou, Chao Huang, Shangqi Gao +1
Super-resolution (SR) is an ill-posed problem, which means that infinitely many high-resolution (HR) images can be degraded to the same low-resolution (LR) image. To study the one-…