1.1k citations · 2.3k across the 13 of their papers we have counts for
13 papers
Remove Cosine Window from Correlation Filter-based Visual Trackers: When and How
Feng Li, Xiaohe Wu, Wangmeng Zuo +2
Correlation filters (CFs) have been continuously advancing the state-of-the-art tracking performance and have been extensively studied in the recent few years. Most of the existing…
A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising
Jun Xu, Lei Zhang, David Zhang
Most of existing image denoising methods assume the corrupted noise to be additive white Gaussian noise (AWGN). However, the realistic noise in real-world noisy images is much more…
Integrating Boundary and Center Correlation Filters for Visual Tracking with Aspect Ratio Variation
Feng Li, Yingjie Yao, Peihua Li +3
The aspect ratio variation frequently appears in visual tracking and has a severe influence on performance. Although many correlation filter (CF)-based trackers have also been sugg…
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…
External Prior Guided Internal Prior Learning for Real-World Noisy Image Denoising
Jun Xu, Lei Zhang, David Zhang
Most of existing image denoising methods learn image priors from either external data or the noisy image itself to remove noise. However, priors learned from external data may not…
Learning Convolutional Networks for Content-weighted Image Compression
Mu Li, Wangmeng Zuo, Shuhang Gu +2
Lossy image compression is generally formulated as a joint rate-distortion optimization to learn encoder, quantizer, and decoder. However, the quantizer is non-differentiable, and…