Wangmeng Zuo

ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

Recently, channel attention mechanism has demonstrated to offer great potential in improving the performance of deep convolutional neural networks (CNNs). However, most existing...

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

© 2016 IEEE. The discriminative model learning for image denoising has been recently attracting considerable attentions due to its favorable denoising performance. In this paper...

Weighted Nuclear Norm Minimization with Application to Image Denoising

As a convex relaxation of the low rank matrix factorization problem, the nuclear norm minimization has been attracting significant research interest in recent years. The standar...

Weighted Nuclear Norm Minimization and Its Applications to Low Level Vision

Patch Group Based Nonlocal Self-Similarity Prior Learning for Image Denoising

Patch based image modeling has achieved a great success in low level vision such as image denoising. In particular, the use of image nonlocal self-similarity (NSS) prior, which ...