3 citations · 15 across the 19 of their papers we have counts for
8 papers · 1 filter
End-to-end Recording Device Identification Based on Deep Representation Learning
Chunyan Zeng, Dongliang Zhu, Zhifeng Wang +3
Deep learning techniques have achieved specific results in recording device source identification. The recording device source features include spatial information and certain temp…
JSRNN: Joint Sampling and Reconstruction Neural Networks for High Quality Image Compressed Sensing
Chunyan Zeng, Jiaxiang Ye, Zhifeng Wang +2
Most Deep Learning (DL) based Compressed Sensing (DCS) algorithms adopt a single neural network for signal reconstruction, and fail to jointly consider the influences of the sampli…
Audio Tampering Detection Based on Shallow and Deep Feature Representation Learning
Zhifeng Wang, Yao Yang, Chunyan Zeng +3
Digital audio tampering detection can be used to verify the authenticity of digital audio. However, most current methods use standard electronic network frequency (ENF) databases f…
Image Compressed Sensing with Multi-scale Dilated Convolutional Neural Network
Zhifeng Wang, Zhenghui Wang, Chunyan Zeng +2
Deep Learning (DL) based Compressed Sensing (CS) has been applied for better performance of image reconstruction than traditional CS methods. However, most existing DL methods util…
Spatio-Temporal Representation Learning Enhanced Source Cell-phone Recognition from Speech Recordings
Chunyan Zeng, Shixiong Feng, Zhifeng Wang +3
The existing source cell-phone recognition method lacks the long-term feature characterization of the source device, resulting in inaccurate representation of the source cell-phone…
Digital Audio Tampering Detection Based on ENF Spatio-temporal Features Representation Learning
Chunyan Zeng, Shuai Kong, Zhifeng Wang +2
Most digital audio tampering detection methods based on electrical network frequency (ENF) only utilize the static spatial information of ENF, ignoring the variation of ENF in time…
Abs-CAM: A Gradient Optimization Interpretable Approach for Explanation of Convolutional Neural Networks
Chunyan Zeng, Kang Yan, Zhifeng Wang +3
The black-box nature of Deep Neural Networks (DNNs) severely hinders its performance improvement and application in specific scenes. In recent years, class activation mapping-based…
UIILD: A Unified Interpretable Intelligent Learning Diagnosis Framework for Intelligent Tutoring Systems
Zhifeng Wang, Wenxing Yan, Chunyan Zeng +1
Intelligent learning diagnosis is a critical engine of intelligent tutoring systems, which aims to estimate learners' current knowledge mastery status and predict their future lear…