Pak Lun Kevin Ding

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 17

Top Topics

Dictionary Learning

Single Image Super Resolution

Top Venues

Signal Process.

IEEE Signal Process. Lett.

Publications

Riti Paul, Sahil Vora, Pak Lun Kevin Ding, Ameet Patel, Leland Hu, Baoxin Li, Yuxiang Zhou
Transferable Variational Feedback Network for Vendor Generalization in Accelerated MRI. AIiH (2) (2024)
Kan Chang, Hengxin Li, Yufei Tan, Pak Lun Kevin Ding, Baoxin Li
A Two-Stage Convolutional Neural Network for Joint Demosaicking and Super-Resolution. IEEE Trans. Circuits Syst. Video Technol. 32 (7) (2022)
Pak Lun Kevin Ding, Sarah Martin, Baoxin Li
Improving Batch Normalization with Skewness Reduction for Deep Neural Networks. ICPR (2020)
Kan Chang, Minghong Li, Pak Lun Kevin Ding, Baoxin Li
Accurate single image super-resolution using multi-path wide-activated residual network. Signal Process. 172 (2020)
Pak Lun Kevin Ding, Zhiqiang Li, Yuxiang Zhou, Baoxin Li
Deep Residual Dense U-Net for Resolution Enhancement in Accelerated MRI Acquisition. CoRR (2020)
Xu Zhou, Pak Lun Kevin Ding, Baoxin Li
Improving Robustness of Random Forest Under Label Noise. WACV (2019)
Pak Lun Kevin Ding, Zhiqiang Li, Yuxiang Zhou, Baoxin Li
Deep residual dense U-Net for resolution enhancement in accelerated MRI acquisition. Medical Imaging: Image Processing (2019)
Kan Chang, Xueyu Zhang, Pak Lun Kevin Ding, Baoxin Li
Data-adaptive low-rank modeling and external gradient prior for single image super-resolution. Signal Process. 161 (2019)
Kan Chang, Pak Lun Kevin Ding, Baoxin Li
Single Image Super Resolution Using Joint Regularization. IEEE Signal Process. Lett. 25 (4) (2018)
Kan Chang, Pak Lun Kevin Ding, Baoxin Li
Single image super-resolution using collaborative representation and non-local self-similarity. Signal Process. 149 (2018)
Yikang Li, Pak Lun Kevin Ding, Baoxin Li
Training Neural Networks by Using Power Linear Units (PoLUs). CoRR (2018)
Pak Lun Kevin Ding, Yikang Li, Baoxin Li
Mean Local Group Average Precision (mLGAP): A New Performance Metric for Hashing-based Retrieval. CoRR (2018)
Parag S. Chandakkar, Yikang Li, Pak Lun Kevin Ding, Baoxin Li
Strategies for Re-Training a Pruned Neural Network in an Edge Computing Paradigm. EDGE (2017)
Pak Lun Kevin Ding, Baoxin Li, Kan Chang
Convex dictionary learning for single image super-resolution. ICIP (2017)
Xu Zhou, Pak Lun Kevin Ding, Baoxin Li
Non-negative dictionary learning with pairwise partial similarity constraint. ICME (2017)
Kan Chang, Pak Lun Kevin Ding, Baoxin Li
Compressive Sensing Reconstruction of Correlated Images Using Joint Regularization. IEEE Signal Process. Lett. 23 (4) (2016)
Kan Chang, Pak Lun Kevin Ding, Baoxin Li
Color image demosaicking using inter-channel correlation and nonlocal self-similarity. Signal Process. Image Commun. 39 (2015)