Qian Zhao

According to our database1, Qian Zhao authored at least 42 papers between 2012 and 2019.

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Bibliography

2019
Nonconvex-Sparsity and Nonlocal-Smoothness-Based Blind Hyperspectral Unmixing.
IEEE Trans. Image Processing, 2019

Push the Student to Learn Right: Progressive Gradient Correcting by Meta-learner on Corrupted Labels.
CoRR, 2019

Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net.
CoRR, 2019

2018
A Generalized Model for Robust Tensor Factorization With Noise Modeling by Mixture of Gaussians.
IEEE Trans. Neural Netw. Learning Syst., 2018

Denoising Hyperspectral Image With Non-i.i.d. Noise Structure.
IEEE Trans. Cybernetics, 2018

Hyperspectral Image Restoration Via Total Variation Regularized Low-Rank Tensor Decomposition.
IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 2018

Hyperspectral Image Restoration under Complex Multi-Band Noises.
Remote Sensing, 2018

Infrared small-dim target detection based on Markov random field guided noise modeling.
Pattern Recognition, 2018

Kronecker-Basis-Representation Based Tensor Sparsity and Its Applications to Tensor Recovery.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Robust subspace clustering via penalized mixture of Gaussians.
Neurocomputing, 2018

Enhanced 3DTV Regularization and Its Applications on Hyper-spectral Image Denoising and Compressed Sensing.
CoRR, 2018

Discovering Influential Factors in Variational Autoencoder.
CoRR, 2018

Unsupervised/Semi-supervised Deep Learning for Low-dose CT Enhancement.
CoRR, 2018

Semi-supervised CNN for Single Image Rain Removal.
CoRR, 2018

Video Rain Streak Removal by Multiscale Convolutional Sparse Coding.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Robust Low-Dose CT Sinogram Preprocessing via Exploiting Noise-Generating Mechanism.
IEEE Trans. Med. Imaging, 2017

Compressive Sensing of Hyperspectral Images via Joint Tensor Tucker Decomposition and Weighted Total Variation Regularization.
IEEE Geosci. Remote Sensing Lett., 2017

A theoretical understanding of self-paced learning.
Inf. Sci., 2017

Integration of 3-dimensional discrete wavelet transform and Markov random field for hyperspectral image classification.
Neurocomputing, 2017

SPLBoost: An Improved Robust Boosting Algorithm Based on Self-paced Learning.
CoRR, 2017

Hyperspectral Image Restoration via Total Variation Regularized Low-rank Tensor Decomposition.
CoRR, 2017

A General Model for Robust Tensor Factorization with Unknown Noise.
CoRR, 2017

Denoising Hyperspectral Image with Non-i.i.d. Noise Structure.
CoRR, 2017

Should We Encode Rain Streaks in Video as Deterministic or Stochastic?
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Robust Low-Rank Matrix Factorization Under General Mixture Noise Distributions.
IEEE Trans. Image Processing, 2016

Low-rank Matrix Factorization under General Mixture Noise Distributions.
CoRR, 2016

Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Robust Tensor Factorization with Unknown Noise.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
L1-Norm Low-Rank Matrix Factorization by Variational Bayesian Method.
IEEE Trans. Neural Netw. Learning Syst., 2015

A block coordinate descent approach for sparse principal component analysis.
Neurocomputing, 2015

What Objective Does Self-paced Learning Indeed Optimize?
CoRR, 2015

A Novel Sparsity Measure for Tensor Recovery.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

A Self-Paced Multiple-Instance Learning Framework for Co-Saliency Detection.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Low-Rank Matrix Factorization under General Mixture Noise Distributions.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Self-Paced Learning for Matrix Factorization.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Self-Paced Curriculum Learning.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Robust sparse principal component analysis.
SCIENCE CHINA Information Sciences, 2014

Robust Principal Component Analysis with Complex Noise.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Learning dictionary from signals under global sparsity constraint.
Neurocomputing, 2013

2012
Improve robustness of sparse PCA by L1-norm maximization.
Pattern Recognition, 2012

Dictionary learning under global sparsity constraint
CoRR, 2012

A recursive divide-and-conquer approach for sparse principal component analysis.
CoRR, 2012


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