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20172023
most citedSingle Image Super-Resolution with Dilated Convolution based Multi-Scale Information Learning Inception Module

10 citations · 40 across the 6 of their papers we have counts for

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Showing cs.CVShow all

8 papers · 1 filter

cs.CV2023★ 8 cited

Read Pointer Meters in complex environments based on a Human-like Alignment and Recognition Algorithm

Yan Shu, Shaohui Liu, Honglei Xu +1

Recently, developing an automatic reading system for analog measuring instruments has gained increased attention, as it enables the collection of numerous state of equipment. Nonet…

cs.CV2021★ 1 cited

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…

cs.CV2018

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…

cs.CV2018

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…

cs.CV2018

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…

cs.CV2017★ 9 cited

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…