3 citations · 5 across the 8 of their papers we have counts for
8 papers
LKD-Net: Large Kernel Convolution Network for Single Image Dehazing
Pinjun Luo, Guoqiang Xiao, Xinbo Gao +1
The deep convolutional neural networks (CNNs)-based single image dehazing methods have achieved significant success. The previous methods are devoted to improving the network's per…
On the Foundation of Sparse Sensing (Part II): Diophantine Sampling and Array Configuration
Hanshen Xiao, Beining Zhou, Guoqiang Xiao
In the second part of the series papers, we set out to study the algorithmic efficiency of sparse sensing. Stemmed from co-prime sensing, we propose a generalized framework, termed…
On the Foundation of Sparse Sensing (Part I): Necessary and Sufficient Sampling Theory and Robust Remaindering Problem
Hanshen Xiao, Yaowen Zhang, Guoqiang Xiao
In the first part of the series papers, we set out to answer the following question: given specific restrictions on a set of samplers, what kind of signal can be uniquely represent…
Statistical Robust Chinese Remainder Theorem for Multiple Numbers
Hanshen Xiao, Nan Du, Zhikang T. Wang +1
Generalized Chinese Remainder Theorem (CRT) is a well-known approach to solve ambiguity resolution related problems. In this paper, we study the robust CRT reconstruction for multi…
Multiple Independent Subspace Clusterings
Xing Wang, Jun Wang, Carlotta Domeniconi +3
Multiple clustering aims at discovering diverse ways of organizing data into clusters. Despite the progress made, it's still a challenge for users to analyze and understand the dis…
From Co-prime to the Diophantine Equation Based Sparse Sensing
Hanshen Xiao, Guoqiang Xiao
With a careful design of sample spacings either in temporal and spatial domain, co-prime sensing can reconstruct the autocorrelation at a significantly denser set of points based o…
On Solving Ambiguity Resolution with Robust Chinese Remainder Theorem for Multiple Numbers
Hanshen Xiao, Guoqiang Xiao
Chinese Remainder Theorem (CRT) is a powerful approach to solve ambiguity resolution related problems such as undersampling frequency estimation and phase unwrapping which are wide…
Robustness in Chinese Remainder Theorem
Hanshen Xiao, Yufeng Huang, Yu Ye +1
Chinese Remainder Theorem (CRT) has been widely studied with its applications in frequency estimation, phase unwrapping, coding theory and distributed data storage. Since tradition…