10 citations · 32 across the 5 of their papers we have counts for
8 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…
Improving Entity Linking by Modeling Latent Entity Type Information
Shuang Chen, Jinpeng Wang, Feng Jiang +1
Existing state of the art neural entity linking models employ attention-based bag-of-words context model and pre-trained entity embeddings bootstrapped from word embeddings to asse…
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…
An End-to-End Compression Framework Based on Convolutional Neural Networks
Feng Jiang, Wen Tao, Shaohui Liu +3
Deep learning, e.g., convolutional neural networks (CNNs), has achieved great success in image processing and computer vision especially in high level vision applications such as r…