research
∙
06/01/2022
Multi-scale frequency separation network for image deblurring
Image deblurring aims to restore the detailed texture information or str...
share
research
∙
05/30/2022
Last-iterate convergence analysis of stochastic momentum methods for neural networks
The stochastic momentum method is a commonly used acceleration technique...
research
∙
01/14/2021
Image deblurring based on lightweight multi-information fusion network
Recently, deep learning based image deblurring has been well developed. ...
research
∙
10/10/2020
HPCC-YNU at SemEval-2020 Task 9: A Bilingual Vector Gating Mechanism for Sentiment Analysis of Code-Mixed Text
It is fairly common to use code-mixing on a social media platform to exp...
research
∙
11/16/2019
Liver Steatosis Segmentation with Deep Learning Methods
Liver steatosis is known as the abnormal accumulation of lipids within c...
research
∙
10/31/2019
Run-time Parameter Sensitivity Analysis Optimizations
Efficient execution of parameter sensitivity analysis (SA) is critical t...
research
∙
10/05/2018
Tuning for Tissue Image Segmentation Workflows for Accuracy and Performance
We propose a software platform that integrates methods and tools for mul...
research
∙
08/14/2018
Clumped Nuclei Segmentation with Adjacent Point Match and Local Shape based Intensity Analysis for Overlapped Nuclei in Fluorescence In-Situ Hybridization Images
Highly clumped nuclei clusters captured in fluorescence in situ hybridiz...
research
∙
06/24/2018
Analysis of Cellular Feature Differences of Astrocytomas with Distinct Mutational Profiles Using Digitized Histopathology Images
Cellular phenotypic features derived from histopathology images are the ...
research
∙
06/24/2018
