24 citations · 66 across the 17 of their papers we have counts for
4 papers · 1 filter
Enhancing and Learning Denoiser without Clean Reference
Rui Zhao, Daniel P. K. Lun, Kin-Man Lam
Recent studies on learning-based image denoising have achieved promising performance on various noise reduction tasks. Most of these deep denoisers are trained either under the sup…
Blur-Attention: A boosting mechanism for non-uniform blurred image restoration
Xiaoguang Li, Feifan Yang, Kin Man Lam +2
Dynamic scene deblurring is a challenging problem in computer vision. It is difficult to accurately estimate the spatially varying blur kernel by traditional methods. Data-driven-b…
Deep Multi-task Learning for Facial Expression Recognition and Synthesis Based on Selective Feature Sharing
Rui Zhao, Tianshan Liu, Jun Xiao +2
Multi-task learning is an effective learning strategy for deep-learning-based facial expression recognition tasks. However, most existing methods take into limited consideration th…
Enhancement of a CNN-Based Denoiser Based on Spatial and Spectral Analysis
Rui Zhao, Kin-Man Lam, Daniel P. K. Lun
Convolutional neural network (CNN)-based image denoising methods have been widely studied recently, because of their high-speed processing capability and good visual quality. Howev…