371 citations · 593 across the 19 of their papers we have counts for
8 papers · 1 filter
Reinforcement Learning for Adaptive Video Compressive Sensing
Sidi Lu, Xin Yuan, Aggelos K Katsaggelos +1
We apply reinforcement learning to video compressive sensing to adapt the compression ratio. Specifically, video snapshot compressive imaging (SCI), which captures high-speed video…
Rank Minimization for Snapshot Compressive Imaging
Yang Liu, Xin Yuan, Jinli Suo +2
Snapshot compressive imaging (SCI) refers to compressive imaging systems where multiple frames are mapped into a single measurement, with video compressive imaging and hyperspectra…
From Rank Estimation to Rank Approximation: Rank Residual Constraint for Image Restoration
Zhiyuan Zha, Xin Yuan, Bihan Wen +3
In this paper, we propose a novel approach to the rank minimization problem, termed rank residual constraint (RRC) model. Different from existing low-rank based approaches, such as…
Group Sparsity Residual with Non-Local Samples for Image Denoising
Zhiyuan Zha, Xinggan Zhang, Qiong Wang +3
Inspired by group-based sparse coding, recently proposed group sparsity residual (GSR) scheme has demonstrated superior performance in image processing. However, one challenge in G…
Nonlocal Low-Rank Tensor Factor Analysis for Image Restoration
Xinyuan Zhang, Xin Yuan, Lawrence Carin
Low-rank signal modeling has been widely leveraged to capture non-local correlation in image processing applications. We propose a new method that employs low-rank tensor factor an…
A Benchmark for Sparse Coding: When Group Sparsity Meets Rank Minimization
Zhiyuan Zha, Xin Yuan, Bihan Wen +3
Sparse coding has achieved a great success in various image processing tasks. However, a benchmark to measure the sparsity of image patch/group is missing since sparse coding is es…