13 citations · 15 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 2 cited
Multi-scale frequency separation network for image deblurring
Yanni Zhang, Qiang Li, Miao Qi +3
Image deblurring aims to restore the detailed texture information or structures from blurry images, which has become an indispensable step in many computer vision tasks. Although v…
math.OC2022★ 13 cited
Last-iterate convergence analysis of stochastic momentum methods for neural networks
Dongpo Xu, Jinlan Liu, Yinghua Lu +2
The stochastic momentum method is a commonly used acceleration technique for solving large-scale stochastic optimization problems in artificial neural networks. Current convergence…
cs.CV2021
Image deblurring based on lightweight multi-information fusion network
Yanni Zhang, Yiming Liu, Qiang Li +4
Recently, deep learning based image deblurring has been well developed. However, exploiting the detailed image features in a deep learning framework always requires a mass of param…