10 citations · 33 across the 5 of their papers we have counts for
10 papers
Multi-Stage Residual Hiding for Image-into-Audio Steganography
Wenxue Cui, Shaohui Liu, Feng Jiang +2
The widespread application of audio communication technologies has speeded up audio data flowing across the Internet, which made it a popular carrier for covert communication. In t…
NormalNet: Learning-based Normal Filtering for Mesh Denoising
Wenbo Zhao, Xianming Liu, Yongsen Zhao +2
Mesh denoising is a critical technology in geometry processing that aims to recover high-fidelity 3D mesh models of objects from their noise-corrupted versions. In this work, we pr…
Convolutional Neural Networks based Intra Prediction for HEVC
Wenxue Cui, Tao Zhang, Shengping Zhang +3
Traditional intra prediction methods for HEVC rely on using the nearest reference lines for predicting a block, which ignore much richer context between the current block and its n…
Deep neural network based sparse measurement matrix for image compressed sensing
Wenxue Cui, Feng Jiang, Xinwei Gao +2
Gaussian random matrix (GRM) has been widely used to generate linear measurements in compressed sensing (CS) of natural images. However, there actually exist two disadvantages with…
An efficient deep convolutional laplacian pyramid architecture for CS reconstruction at low sampling ratios
Wenxue Cui, Heyao Xu, Xinwei Gao +3
The compressed sensing (CS) has been successfully applied to image compression in the past few years as most image signals are sparse in a certain domain. Several CS reconstruction…
A nonlinear transform based analog video transmission framework
Yongtao Liu, Xiaopeng Fan, Yang Wang +2
Soft-cast, a cross-layer design for wireless video transmission, is proposed to solve the drawbacks of digital video transmission: threshold transmission framework achieving the sa…