76 citations · 161 across the 12 of their papers we have counts for
12 papers
Time-weighted Frequency Domain Audio Representation with GMM Estimator for Anomalous Sound Detection
Jian Guan, Youde Liu, Qiaoxi Zhu +3
Although deep learning is the mainstream method in unsupervised anomalous sound detection, Gaussian Mixture Model (GMM) with statistical audio frequency representation as input can…
Anomalous Sound Detection using Audio Representation with Machine ID based Contrastive Learning Pretraining
Jian Guan, Feiyang Xiao, Youde Liu +2
Existing contrastive learning methods for anomalous sound detection refine the audio representation of each audio sample by using the contrast between the samples' augmentations (e…
Graph Attention for Automated Audio Captioning
Feiyang Xiao, Jian Guan, Qiaoxi Zhu +1
State-of-the-art audio captioning methods typically use the encoder-decoder structure with pretrained audio neural networks (PANNs) as encoders for feature extraction. However, the…
EARL: An Elliptical Distribution aided Adaptive Rotation Label Assignment for Oriented Object Detection in Remote Sensing Images
Jian Guan, Mingjie Xie, Youtian Lin +2
Label assignment is a crucial process in object detection, which significantly influences the detection performance by determining positive or negative samples during training proc…
Anomalous Sound Detection using Spectral-Temporal Information Fusion
Youde Liu, Jian Guan, Qiaoxi Zhu +1
Unsupervised anomalous sound detection aims to detect unknown abnormal sounds of machines from normal sounds. However, the state-of-the-art approaches are not always stable and per…
Local Information Assisted Attention-free Decoder for Audio Captioning
Feiyang Xiao, Jian Guan, Haiyan Lan +2
Automated audio captioning aims to describe audio data with captions using natural language. Existing methods often employ an encoder-decoder structure, where the attention-based d…
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…