Yunjin Chen

Peng Qiao

IEEE Trans. Cybern., 2018

Non-stationary speckle reduction in high resolution SAR images.

[BibT_eX]

[DOI]

Digit. Signal Process., 2018

Learning Generic Diffusion Processes for Image Restoration.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference 2018, 2018

2017

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2017

Hyperspectral Image Restoration Using Low-Rank Tensor Recovery.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

Variational single image interpolation with time-varying regularization.

[BibT_eX]

[DOI]

Peng Qiao

Yong Dou

Signal Process. Image Commun., 2017

Variational JPEG artifacts suppression based on high-order MRFs.

[BibT_eX]

[DOI]

Signal Process. Image Commun., 2017

Image Denoising via Multiscale Nonlinear Diffusion Models.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2017

Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Speckle Reduction with Trained Nonlinear Diffusion Filtering.

[BibT_eX]

[DOI]

J. Math. Imaging Vis., 2017

Learning Non-local Image Diffusion for Image Denoising.

[BibT_eX]

[DOI]

CoRR, 2017

Learning Non-local Image Diffusion for Image Denoising.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM on Multimedia Conference, 2017

NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Learning Dynamic Guidance for Depth Image Enhancement.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Correlation Filter Tracking: Beyond an Open-loop System.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference 2017, 2017

2016

A New Algorithm for Optimizing TV-Based PolSAR Despeckling Model.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2016

Poisson Noise Reduction with Higher-Order Natural Image Prior Model.

[BibT_eX]

[DOI]

Hong Qiao

SIAM J. Imaging Sci., 2016

Higher-order MRFs based image super resolution: why not MAP?

[BibT_eX]

[DOI]

IET Image Process., 2016

Image Denoising via Multi-scale Nonlinear Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2016

2015

Fast and Accurate Poisson Denoising with Optimized Nonlinear Diffusion.

[BibT_eX]

[DOI]

CoRR, 2015

On learning optimized reaction diffusion processes for effective image restoration.

[BibT_eX]

[DOI]

Wei Yu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Insights Into Analysis Operator Learning: From Patch-Based Sparse Models to Higher Order MRFs.

[BibT_eX]

[DOI]

René Ranftl

IEEE Trans. Image Process., 2014

A Higher-Order MRF Based Variational Model for Multiplicative Noise Reduction.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2014

iPiano: Inertial Proximal Algorithm for Nonconvex Optimization.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2014

iPiano: Inertial Proximal Algorithm for Non-Convex Optimization.

[BibT_eX]

[DOI]

CoRR, 2014

A bi-level view of inpainting - based image compression.

[BibT_eX]

[DOI]

René Ranftl

CoRR, 2014

Learning ℓ<sub>1</sub>-based analysis and synthesis sparsity priors using bi-level optimization.

[BibT_eX]

[DOI]

Horst Bischof

CoRR, 2014

Higher-order MRFs based image super resolution: MMSE or MAP?

[BibT_eX]

[DOI]