173 citations · 392 across the 9 of their papers we have counts for
9 papers
Lightweight Improved Residual Network for Efficient Inverse Tone Mapping
Liqi Xue, Tianyi Xu, Yongbao Song +4
The display devices like HDR10 televisions are increasingly prevalent in our daily life for visualizing high dynamic range (HDR) images. But the majority of media images on the int…
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…
Non-negative Sparse and Collaborative Representation for Pattern Classification
Jun Xu, Zhou Xu, Wangpeng An +2
Sparse representation (SR) and collaborative representation (CR) have been successfully applied in many pattern classification tasks such as face recognition. In this paper, we pro…
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…