3 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CV2020★ 3 cited
Low-Rank Matrix Recovery from Noise via an MDL Framework-based Atomic Norm
Anyong Qin, Lina Xian, Yongliang Yang +2
The recovery of the underlying low-rank structure of clean data corrupted with sparse noise/outliers is attracting increasing interest. However, in many low-level vision problems,…
cs.CV2020
Learning a Deep Part-based Representation by Preserving Data Distribution
Anyong Qin, Zhaowei Shang, Zhuolin Tan +2
Unsupervised dimensionality reduction is one of the commonly used techniques in the field of high dimensional data recognition problems. The deep autoencoder network which constrai…
cs.CV2018★ 2 cited
A Multiscale Image Denoising Algorithm Based On Dilated Residual Convolution Network
Chang Liu, Zhaowei Shang, Anyong Qin
Image denoising is a classical problem in low level computer vision. Model-based optimization methods and deep learning approaches have been the two main strategies for solving the…