9.2k citations · 17.8k across the 63 of their papers we have counts for
10 papers · 1 filter
Learning a Wavelet-like Auto-Encoder to Accelerate Deep Neural Networks
Tianshui Chen, Liang Lin, Wangmeng Zuo +2
Accelerating deep neural networks (DNNs) has been attracting increasing attention as it can benefit a wide range of applications, e.g., enabling mobile systems with limited computi…
Learning a Single Convolutional Super-Resolution Network for Multiple Degradations
Kai Zhang, Wangmeng Zuo, Lei Zhang
Recent years have witnessed the unprecedented success of deep convolutional neural networks (CNNs) in single image super-resolution (SISR). However, existing CNN-based SISR methods…
Learning Aggregated Transmission Propagation Networks for Haze Removal and Beyond
Risheng Liu, Xin Fan, Minjun Hou +3
Single image dehazing is an important low-level vision task with many applications. Early researches have investigated different kinds of visual priors to address this problem. How…
FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising
Kai Zhang, Wangmeng Zuo, Lei Zhang
Due to the fast inference and good performance, discriminative learning methods have been widely studied in image denoising. However, these methods mostly learn a specific model fo…
Robust Online Matrix Factorization for Dynamic Background Subtraction
Hongwei Yong, Deyu Meng, Wangmeng Zuo +1
We propose an effective online background subtraction method, which can be robustly applied to practical videos that have variations in both foreground and background. Different fr…
Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising
Jun Xu, Lei Zhang, David Zhang +1
Most of the existing denoising algorithms are developed for grayscale images, while it is not a trivial work to extend them for color image denoising because the noise statistics i…