Pak Lun Kevin Ding

PhD thesis, 2020

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

[BibT_eX]

[DOI]

Signal Process., 2020

Improving Batch Normalization with Skewness Reduction for Deep Neural Networks.

[BibT_eX]

[DOI]

Sarah Martin

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

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

[BibT_eX]

[DOI]

Signal Process., 2019

Improving Robustness of Random Forest Under Label Noise.

[BibT_eX]

[DOI]

Xu Zhou

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Deep residual dense U-Net for resolution enhancement in accelerated MRI acquisition.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2019: Image Processing, 2019

2018

Single Image Super Resolution Using Joint Regularization.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2018

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

[BibT_eX]

[DOI]

Signal Process., 2018

Mean Local Group Average Precision (mLGAP): A New Performance Metric for Hashing-based Retrieval.

[BibT_eX]

[DOI]

Yikang Li

CoRR, 2018

Training Neural Networks by Using Power Linear Units (PoLUs).

[BibT_eX]

[DOI]

Yikang Li

CoRR, 2018

2017

Non-negative dictionary learning with pairwise partial similarity constraint.

[BibT_eX]

[DOI]

Xu Zhou

Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Convex dictionary learning for single image super-resolution.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Edge Computing, 2017

2016

Compressive Sensing Reconstruction of Correlated Images Using Joint Regularization.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2016

2015

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

[BibT_eX]

[DOI]