Search Results for author: Xiangchu Feng

Found 10 papers, 0 papers with code

LST-Net: Learning a Convolutional Neural Network with a Learnable Sparse Transform

no code implementations ECCV 2020 Lida Li, Kun Wang, Shuai Li, Xiangchu Feng, Lei Zhang

The 2D convolutional (Conv2d) layer is the fundamental element to a deep convolutional neural network (CNN).

Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising

no code implementations ICCV 2017 Jun Xu, Lei Zhang, David Zhang, Xiangchu Feng

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 in R, G, B channels can be very different for real noisy images.

Color Image Denoising Image Denoising

A Probabilistic Collaborative Representation Based Approach for Pattern Classification

no code implementations CVPR 2016 Sijia Cai, Lei Zhang, WangMeng Zuo, Xiangchu Feng

Consequently, we present a probabilistic collaborative representation based classifier (ProCRC), which jointly maximizes the likelihood that a test sample belongs to each of the multiple classes.

Classification General Classification

Cross-Domain Visual Matching via Generalized Similarity Measure and Feature Learning

no code implementations13 May 2016 Liang Lin, Guangrun Wang, WangMeng Zuo, Xiangchu Feng, Lei Zhang

Cross-domain visual data matching is one of the fundamental problems in many real-world vision tasks, e. g., matching persons across ID photos and surveillance videos.

Face Verification Person Re-Identification +1

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

no code implementations ICCV 2015 Jun Xu, Lei Zhang, WangMeng Zuo, David Zhang, Xiangchu Feng

PGs are extracted from training images by putting nonlocal similar patches into groups, and a PG based Gaussian Mixture Model (PG-GMM) learning algorithm is developed to learn the NSS prior.

Image Denoising

Convolutional Sparse Coding for Image Super-Resolution

no code implementations ICCV 2015 Shuhang Gu, WangMeng Zuo, Qi Xie, Deyu Meng, Xiangchu Feng, Lei Zhang

Sparse coding (SC) plays an important role in versatile computer vision applications such as image super-resolution (SR).

Image Reconstruction Image Super-Resolution

Weighted Nuclear Norm Minimization with Application to Image Denoising

no code implementations CVPR 2014 Shuhang Gu, Lei Zhang, WangMeng Zuo, Xiangchu Feng

In this paper we study the weighted nuclear norm minimization (WNNM) problem, where the singular values are assigned different weights.

Image Denoising

On the Optimal Solution of Weighted Nuclear Norm Minimization

no code implementations23 May 2014 Qi Xie, Deyu Meng, Shuhang Gu, Lei Zhang, WangMeng Zuo, Xiangchu Feng, Zongben Xu

Nevertheless, so far the global optimal solution of WNNM problem is not completely solved yet due to its non-convexity in general cases.

Image Denoising

Collaborative Representation based Classification for Face Recognition

no code implementations11 Apr 2012 Lei Zhang, Meng Yang, Xiangchu Feng, Yi Ma, David Zhang

It is widely believed that the l1- norm sparsity constraint on coding coefficients plays a key role in the success of SRC, while its use of all training samples to collaboratively represent the query sample is rather ignored.

Classification Face Recognition +3

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