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Compressive Sensing Reconstruction of Correlated Images Using Joint Regularization

IEEE signal processing letters, 2016-04, Vol.23 (4), p.449-453

2016

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A Two-Stage Convolutional Neural Network for Joint Demosaicking and Super-Resolution

IEEE transactions on circuits and systems for video technology, 2022-07, Vol.32 (7), p.4238-4254

2022

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Improving Batch Normalization with Skewness Reduction for Deep Neural Networks

2020 25th International Conference on Pattern Recognition (ICPR), 2021, p.7165-7172

2021

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Accurate single image super-resolution using multi-path wide-activated residual network

Signal processing, 2020-07, Vol.172, p.107567, Article 107567

2020

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Single Image Super Resolution Using Joint Regularization

IEEE signal processing letters, 2018-04, Vol.25 (4), p.596-600

2018

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Single image super-resolution using collaborative representation and non-local self-similarity

Signal processing, 2018-08, Vol.149, p.49-61

2018

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Data-adaptive low-rank modeling and external gradient prior for single image super-resolution

Signal processing, 2019-08, Vol.161, p.36-49

2019

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Color image demosaicking using inter-channel correlation and nonlocal self-similarity

Signal processing. Image communication, 2015-11, Vol.39 (Part A), p.264-279

2015

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Strategies for Re-Training a Pruned Neural Network in an Edge Computing Paradigm

2017 IEEE International Conference on Edge Computing (EDGE), 2017, p.244-247

2017

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Super-resolution for Natural Images and Magnetic Resonance Images

Ding, Pak Lun Kevin

2020

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Convex dictionary learning for single image super-resolution

2017 IEEE International Conference on Image Processing (ICIP), 2017, p.4058-4062

2017

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Transferable Variational Feedback Network for Vendor Generalization in Accelerated MRI

Artificial Intelligence in Healthcare, 2024, p.48-63

2024

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Improving Robustness of Random Forest Under Label Noise

2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 2019, p.950-958

2019

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Non-negative dictionary learning with pairwise partial similarity constraint

2017 IEEE International Conference on Multimedia and Expo (ICME), 2017, p.1410-1415

2017

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Compressive Sensing Reconstruction of Correlated Images Using Joint Regularization

A Two-Stage Convolutional Neural Network for Joint Demosaicking and Super-Resolution

Improving Batch Normalization with Skewness Reduction for Deep Neural Networks

Accurate single image super-resolution using multi-path wide-activated residual network

Single Image Super Resolution Using Joint Regularization

Single image super-resolution using collaborative representation and non-local self-similarity

Data-adaptive low-rank modeling and external gradient prior for single image super-resolution

Color image demosaicking using inter-channel correlation and nonlocal self-similarity

Strategies for Re-Training a Pruned Neural Network in an Edge Computing Paradigm

Super-resolution for Natural Images and Magnetic Resonance Images

Convex dictionary learning for single image super-resolution

Transferable Variational Feedback Network for Vendor Generalization in Accelerated MRI

Improving Robustness of Random Forest Under Label Noise

Non-negative dictionary learning with pairwise partial similarity constraint

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