Huiqian Du

According to our database, Huiqian Du authored at least 33 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Correction: Material-aware Cross-channel Interaction Attention (MCIA) for occluded prohibited item detection.

Man Wang, Huiqian Du, Wenbo Mei, Shuai Wang, Dasen Yuan

Vis. Comput., July, 2023

Material-aware Cross-channel Interaction Attention (MCIA) for occluded prohibited item detection.

Man Wang, Huiqian Du, Wenbo Mei, Shaui Wang, Dasen Yuan

Vis. Comput., July, 2023

W-shaped network: a lightweight network for real-time infrared and visible image fusion.

Tingting Zhang, Huiqian Du, Min Xie

J. Electronic Imaging, 2023

2022

Electromagnetic data completion and prediction method based on tensor train.

Shuli Ma, Liting Sun, Yufei Niu, Han Liu, Huiqian Du, Feihuang Chu, Shengliang Fang

Proceedings of the 4th International Conference on Advanced Information Science and System, 2022

2021

(SARN)spatial-wise attention residual network for image super-resolution.

Wenling Shi, Huiqian Du, Wenbo Mei, Zhifeng Ma

Vis. Comput., 2021

Efficient structurally-strengthened generative adversarial network for MRI reconstruction.

Wenzhong Zhou, Huiqian Du, Wenbo Mei, Liping Fang

Neurocomputing, 2021

Recovering low-rank tensor from limited coefficients in any ortho-normal basis using tensor-singular value decomposition.

Shuli Ma, Jianhang Ai, Huiqian Du, Liping Fang, Wenbo Mei

IET Signal Process., 2021

Adaptive Enhanced Generative Adversarial Network for MRI Reconstruction.

Wenzhong Zhou, Huiqian Du, Wenbo Mei, Liping Fang

Proceedings of the ICDSP 2021: 5th International Conference on Digital Signal Processing, 2021

MRI Reconstruction Using Graph Reasoning Generative Adversarial Network.

Wenzhong Zhou, Huiqian Du, Wenbo Mei, Liping Fang

Proceedings of the 6th IEEE International Conference on Computer and Communication Systems, 2021

2020

Dynamic MR Image Reconstruction From Highly Undersampled (k, t)-Space Data Exploiting Low Tensor Train Rank and Sparse Prior.

Shuli Ma, Huiqian Du, Wenbo Mei

IEEE Access, 2020

2019

Infrared and Visible Image Fusion Using Detail Enhanced Channel Attention Network.

Yinghan Cui, Huiqian Du, Wenbo Mei

IEEE Access, 2019

Image Inpainting Exploiting Tensor Train and Total Variation.

Shuli Ma, Huiqian Du, Jiayun Hu, Xinyi Wen, Wenbo Mei

Proceedings of the 12th International Congress on Image and Signal Processing, 2019

2018

Minmax-concave total variation denoising.

Huiqian Du, Yilin Liu

Signal Image Video Process., 2018

Detail-enhanced multimodality medical image fusion based on gradient minimization smoothing filter and shearing filter.

Xingbin Liu, Wenbo Mei, Huiqian Du

Medical Biol. Eng. Comput., 2018

Convex MR brain image reconstruction via non-convex total variation minimization.

Yilin Liu, Huiqian Du, Zexian Wang, Wenbo Mei

Int. J. Imaging Syst. Technol., 2018

Multi-modality medical image fusion based on image decomposition framework and nonsubsampled shearlet transform.

Xingbin Liu, Wenbo Mei, Huiqian Du

Biomed. Signal Process. Control., 2018

2017

Structure tensor and nonsubsampled shearlet transform based algorithm for CT and MRI image fusion.

Xingbin Liu, Wenbo Mei, Huiqian Du

Neurocomputing, 2017

MR image reconstruction using cosupport constraints and group sparsity regularisation.

Yu Han, Huiqian Du, Xiangzhen Gao, Wenbo Mei

IET Image Process., 2017

MR image reconstruction from undersampled measurements using union-of-subspaces.

Yuan Wang, Di Zhao, Shuli Ma, Huiqian Du

Proceedings of the 10th International Congress on Image and Signal Processing, 2017

Image reconstruction via L0 gradient and L1 wavelet coefficients minimization.

Zexian Wang, Huiqian Du, Yilin Liu, Wenbo Mei

Proceedings of the 10th International Congress on Image and Signal Processing, 2017

2016

A novel image fusion algorithm based on nonsubsampled shearlet transform and morphological component analysis.

Xingbin Liu, Wenbo Mei, Huiqian Du, Jiadi Bei

Signal Image Video Process., 2016

Filter-based compressed sensing MRI reconstruction.

Ye-Cun Wu, Huiqian Du, Wenbo Mei

Int. J. Imaging Syst. Technol., 2016

Image Reconstruction Using Analysis Model Prior.

Yu Han, Huiqian Du, Fan Lam, Wenbo Mei, Liping Fang

Comput. Math. Methods Medicine, 2016

Multimodality medical image fusion algorithm based on gradient minimization smoothing filter and pulse coupled neural network.

Xingbin Liu, Wenbo Mei, Huiqian Du

Biomed. Signal Process. Control., 2016

2015

Group-Sparse Channel Estimation using Bayesian Matching Pursuit for OFDM Systems.

Yi Liu, Wenbo Mei, Huiqian Du

KSII Trans. Internet Inf. Syst., 2015

A magnetic resonance image reconstruction method using support of first-second order variation.

Xiangzhen Gao, Huiqian Du, Ru Jia, Wenbo Mei

Int. J. Imaging Syst. Technol., 2015

Compressive Channel Estimation Using Distribution Agnostic Bayesian Method.

Yi Liu, Wenbo Mei, Huiqian Du

IEICE Trans. Commun., 2015

Compressed sensing based multi-modal medical image fusion using a combined fusion strategy.

Xingbin Liu, Huiqian Du, Jiadi Bei, Wenbo Mei

Proceedings of the 8th International Conference on Biomedical Engineering and Informatics, 2015

2014

Two compressive sensing-based estimation schemes designed for rapidly time-varying channels in orthogonal frequency division multiplexing systems.

Yi Liu, Wenbo Mei, Huiqian Du

IET Signal Process., 2014

Model-Based Compressive Channel Estimation over Rapidly Time-Varying Channels in OFDM Systems.

Yi Liu, Wenbo Mei, Huiqian Du

IEICE Trans. Commun., 2014

Compressed Sensing MR Image Reconstruction Exploiting TGV and Wavelet Sparsity.

Di Zhao, Huiqian Du, Yu Han, Wenbo Mei

Comput. Math. Methods Medicine, 2014

2011

Reference-driven MR image reconstruction with sparsity and support constraints.

Xi Peng, Huiqian Du, Fan Lam, S. Derin Babacan, Zhi-Pei Liang

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010

Compressive Sampling Recovery for Natural Images.

Fei Shang, Huiqian Du, Yunde Jia

Proceedings of the 20th International Conference on Pattern Recognition, 2010