Yong Xu

According to our database1, Yong Xu authored at least 37 papers between 2006 and 2021.

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In proceedings 
PhD thesis 


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On csauthors.net:


Structure-Texture Image Decomposition Using Discriminative Patch Recurrence.
IEEE Trans. Image Process., 2021

Image denoising using complex-valued deep CNN.
Pattern Recognit., 2021

Attentive deep network for blind motion deblurring on dynamic scenes.
Comput. Vis. Image Underst., 2021

Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study.
IEEE Trans. Image Process., 2020

Image Denoising via Sequential Ensemble Learning.
IEEE Trans. Image Process., 2020

Collaborative Deep Learning for Super-Resolving Blurry Text Images.
IEEE Trans. Computational Imaging, 2020

Removing Reflection From a Single Image With Ghosting Effect.
IEEE Trans. Computational Imaging, 2020

Cartoon-Texture Image Decomposition using Orientation Characteristics in Patch Recurrence.
SIAM J. Imaging Sci., 2020

Single-image raindrop removal using concurrent channel-spatial attention and long-short skip connections.
Pattern Recognit. Lett., 2020

Full-reference image quality metric for blurry images and compressed images using hybrid dictionary learning.
Neural Comput. Appl., 2020

Recurrent Exposure Generation for Low-Light Face Detection.
CoRR, 2020

Deep Bilateral Retinex for Low-Light Image Enhancement.
CoRR, 2020

Barzilai-Borwein-based adaptive learning rate for deep learning.
Pattern Recognit. Lett., 2019

Tourism scene classification based on multi-stage transfer learning model.
Neural Comput. Appl., 2019

Exploiting label consistency in structured sparse representation for classification.
Neural Comput. Appl., 2019

Deeply Exploiting Long-Term View Dependency for 3D Shape Recognition.
IEEE Access, 2019

Multi-view Rank Pooling for 3D Object Recognition*.
Proceedings of the 2019 IEEE Visual Communications and Image Processing, 2019

Image Cartoon-Texture Decomposition Using Isotropic Patch Recurrence.
CoRR, 2018

Image-based action recognition using hint-enhanced deep neural networks.
Neurocomputing, 2017

Spatiotemporal lacunarity spectrum for dynamic texture classification.
Comput. Vis. Image Underst., 2017

Supervised dictionary learning with multiple classifier integration.
Pattern Recognit., 2016

Sparse Coding for Classification via Discrimination Ensemble.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Directional regularity for visual quality estimation.
Signal Process., 2015

Classifying dynamic textures via spatiotemporal fractal analysis.
Pattern Recognit., 2015

Discriminative structured dictionary learning with hierarchical group sparsity.
Comput. Vis. Image Underst., 2015

Characterizing dynamic textures with space-time lacunarity analysis.
Proceedings of the 2015 IEEE International Conference on Multimedia and Expo, 2015

Structured Sparse Coding for Classification via Reweighted l 2, 1 Minimization.
Proceedings of the Computer Vision - CCF Chinese Conference, 2015

Reduced reference image quality assessment using regularity of phase congruency.
Signal Process. Image Commun., 2014

A distinct and compact texture descriptor.
Image Vis. Comput., 2014

Lacunarity Analysis on Image Patterns for Texture Classification.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

An Effective Method of 1-D Bar Code Image Identification.
Proceedings of the 16th IEEE International Conference on Computational Science and Engineering, 2013

Scale-space texture description on SIFT-like textons.
Comput. Vis. Image Underst., 2012

Contour-based recognition.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Dynamic texture classification using dynamic fractal analysis.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Viewpoint Invariant Texture Description Using Fractal Analysis.
Int. J. Comput. Vis., 2009

Combining powerful local and global statistics for texture description.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

A Projective Invariant for Textures.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006