Robust face super resolution via position patch neighborhood preserving

This paper presents one Convolutional Neural Network based single-frame Super-Resolution processing

In the most of super-resolution reconstruction algorithms, high-resolution (HR) and low-resolution (

We propose a resolution enhancement method for a lensless in-line holographic microscope (LIHM) by c

2016CVPRUnconstrainedFaceAlignmentviaCascadedCompositionalLearning部分翻译和个人理解，可以互相交流下，通过csdn博客分享给热爱学习，

Sparse representation-based face hallucination approachesproposed so far use fixed 1 norm penalty to

In this correspondence, we introduce a new imaging method to obtain high-resolution (HR) images. The

Photoacoustic microscopy (PAM) is recognized as a powerful tool for various microcirculation system

一篇介绍滑模算法的论文，对于学习鲁棒计算方法的人非常有用。

Efficient Spatial Variation Modeling via Robust Dictionary Learning

Robust Visual Tracking via Sparsity-Induced Subspace Learning