77 citations · 168 across the 24 of their papers we have counts for
4 papers · 1 filter
Learning with -Graph: -Induced Sparse Subspace Clustering
Yingzhen Yang, Jiashi Feng, Jianchao Yang +1
Sparse subspace clustering methods, such as Sparse Subspace Clustering (SSC) \cite{ElhamifarV13} and -graph \cite{YanW09,ChengYYFH10}, are effective in partitioning the d…
Self-Tuned Deep Super Resolution
Zhangyang Wang, Yingzhen Yang, Zhaowen Wang +4
Deep learning has been successfully applied to image super resolution (SR). In this paper, we propose a deep joint super resolution (DJSR) model to exploit both external and self s…
Designing A Composite Dictionary Adaptively From Joint Examples
Zhangyang Wang, Yingzhen Yang, Jianchao Yang +1
We study the complementary behaviors of external and internal examples in image restoration, and are motivated to formulate a composite dictionary design framework. The composite d…
Learning Super-Resolution Jointly from External and Internal Examples
Zhangyang Wang, Yingzhen Yang, Zhaowen Wang +3
Single image super-resolution (SR) aims to estimate a high-resolution (HR) image from a lowresolution (LR) input. Image priors are commonly learned to regularize the otherwise seri…