5 papers
Semi-Supervised Self-Growing Generative Adversarial Networks for Image Recognition
Haoqian Wang, Zhiwei Xu, Jun Xu +3
Image recognition is an important topic in computer vision and image processing, and has been mainly addressed by supervised deep learning methods, which need a large set of labele…
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…
Scaled Simplex Representation for Subspace Clustering
Jun Xu, Mengyang Yu, Ling Shao +4
The self-expressive property of data points, i.e., each data point can be linearly represented by the other data points in the same subspace, has proven effective in leading subspa…
Sparse, Collaborative, or Nonnegative Representation: Which Helps Pattern Classification?
Jun Xu, Wangpeng An, Lei Zhang +1
The use of sparse representation (SR) and collaborative representation (CR) for pattern classification has been widely studied in tasks such as face recognition and object categori…
Real-world Noisy Image Denoising: A New Benchmark
Jun Xu, Hui Li, Zhetong Liang +2
Most of previous image denoising methods focus on additive white Gaussian noise (AWGN). However,the real-world noisy image denoising problem with the advancing of the computer visi…