17 citations · 28 across the 6 of their papers we have counts for
6 papers
Two-and-a-half Order Score-based Model for Solving 3D Ill-posed Inverse Problems
Zirong Li, Yanyang Wang, Jianjia Zhang +2
Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) are crucial technologies in the field of medical imaging. Score-based models have proven to be effective in addressing…
Instance Image Retrieval by Learning Purely From Within the Dataset
Zhongyan Zhang, Lei Wang, Yang Wang +4
Quality feature representation is key to instance image retrieval. To attain it, existing methods usually resort to a deep model pre-trained on benchmark datasets or even fine-tune…
Triple-view Convolutional Neural Networks for COVID-19 Diagnosis with Chest X-ray
Jianjia Zhang
The Coronavirus Disease 2019 (COVID-19) is affecting increasingly large number of people worldwide, posing significant stress to the health care systems. Early and accurate diagnos…
Exploiting Structure Sparsity for Covariance-based Visual Representation
Jianjia Zhang, Lei Wang, Luping Zhou +1
The past few years have witnessed increasing research interest on covariance-based feature representation. A variety of methods have been proposed to boost its efficacy, with some…
HEp-2 Cell Image Classification with Deep Convolutional Neural Networks
Zhimin Gao, Lei Wang, Luping Zhou +1
Efficient Human Epithelial-2 (HEp-2) cell image classification can facilitate the diagnosis of many autoimmune diseases. This paper presents an automatic framework for this classif…
Learning Discriminative Stein Kernel for SPD Matrices and Its Applications
Jianjia Zhang, Lei Wang, Luping Zhou +1
Stein kernel has recently shown promising performance on classifying images represented by symmetric positive definite (SPD) matrices. It evaluates the similarity between two SPD m…