1 code implementation • 16 Aug 2023 • Zirong Li, Yanyang Wang, Jianjia Zhang, Weiwen Wu, Hengyong Yu
Score-based models have proven to be effective in addressing different inverse problems encountered in CT and MRI, such as sparse-view CT and fast MRI reconstruction.
no code implementations • 12 Aug 2022 • Zhongyan Zhang, Lei Wang, Yang Wang, Luping Zhou, Jianjia Zhang, Peng Wang, Fang Chen
Although achieving promising results, this approach is restricted by two issues: 1) the domain gap between benchmark datasets and the dataset of a given retrieval task; 2) the required auxiliary dataset cannot be readily obtained.
no code implementations • 27 Oct 2020 • Jianjia Zhang
To address these issues, unlike traditional methods processing each CXR image from a single view, this paper proposes triple-view convolutional neural networks for COVID-19 diagnosis with CXR images.
no code implementations • CVPR 2017 • Luping Zhou, Lei Wang, Jianjia Zhang, Yinghuan Shi, Yang Gao
The proposed method has been tested on multiple SPD-based visual representation data sets used in the literature, and the results demonstrate its interesting properties and attractive performance.
no code implementations • 27 Oct 2016 • Jianjia Zhang, Lei Wang, Luping Zhou, Wanqing Li
A variety of methods have been proposed to boost its efficacy, with some recent ones resorting to nonlinear kernel technique.
no code implementations • ICCV 2015 • Lei Wang, Jianjia Zhang, Luping Zhou, Chang Tang, Wanqing Li
It proposes an open framework to use the kernel matrix over feature dimensions as a generic representation and discusses its properties and advantages.
no code implementations • 10 Apr 2015 • Zhimin Gao, Lei Wang, Luping Zhou, Jianjia Zhang
Efficient Human Epithelial-2 (HEp-2) cell image classification can facilitate the diagnosis of many autoimmune diseases.
1 code implementation • 8 Jul 2014 • Jianjia Zhang, Lei Wang, Luping Zhou, Wanqing Li
A comprehensive experimental study is conducted on a variety of image classification tasks to compare our proposed discriminative Stein kernel with the original Stein kernel and other commonly used methods for evaluating the similarity between SPD matrices.
no code implementations • CVPR 2013 • Lei Wang, Jianjia Zhang, Luping Zhou, Wanqing Li
Distributional word clustering merges the words having similar probability distributions to attain reliable parameter estimation, compact classification models and even better classification performance.