1 citations · 1 across the 2 of their papers we have counts for
6 papers
Low-dimensional Denoising Embedding Transformer for ECG Classification
Jian Guan, Wenbo Wang, Pengming Feng +2
The transformer based model (e.g., FusingTF) has been employed recently for Electrocardiogram (ECG) signal classification. However, the high-dimensional embedding obtained via 1-D…
Time-domain Speech Enhancement with Generative Adversarial Learning
Feiyang Xiao, Jian Guan, Qiuqiang Kong +1
Speech enhancement aims to obtain speech signals with high intelligibility and quality from noisy speech. Recent work has demonstrated the excellent performance of time-domain deep…
A Practical Solution for SAR Despeckling With Adversarial Learning Generated Speckled-to-Speckled Images
Ye Yuan, Jian Guan, Pengming Feng +1
In this letter, we aim to address a synthetic aperture radar (SAR) despeckling problem with the necessity of neither clean (speckle-free) SAR images nor independent speckled image…
IENet: Interacting Embranchment One Stage Anchor Free Detector for Orientation Aerial Object Detection
Youtian Lin, Pengming Feng, Jian Guan +2
Object detection in aerial images is a challenging task due to the lack of visible features and variant orientation of objects. Significant progress has been made recently for pred…
Blind SAR Image Despeckling Using Self-Supervised Dense Dilated Convolutional Neural Network
Ye Yuan, Jian Guan, Jianguo Sun
Despeckling is a key and indispensable step in SAR image preprocessing, existing deep learning-based methods achieve SAR despeckling by learning some mappings between speckled (dif…
Matrix of Polynomials Model based Polynomial Dictionary Learning Method for Acoustic Impulse Response Modeling
Jian Guan, Xuan Wang, Pengming Feng +2
We study the problem of dictionary learning for signals that can be represented as polynomials or polynomial matrices, such as convolutive signals with time delays or acoustic impu…