4 papers
Low-Dose CT Denoising Using a Structure-Preserving Kernel Prediction Network
Lu Xu, Yuwei Zhang, Ying Liu +5
Low-dose CT has been a key diagnostic imaging modality to reduce the potential risk of radiation overdose to patient health. Despite recent advances, CNN-based approaches typically…
Efficient Deep Image Denoising via Class Specific Convolution
Lu Xu, Jiawei Zhang, Xuanye Cheng +3
Deep neural networks have been widely used in image denoising during the past few years. Even though they achieve great success on this problem, they are computationally inefficien…
ComboLoss for Facial Attractiveness Analysis with Squeeze-and-Excitation Networks
Lu Xu, Jinhai Xiang
Loss function is crucial for model training and feature representation learning, conventional models usually regard facial attractiveness recognition task as a regression problem,…
Transferring Rich Deep Features for Facial Beauty Prediction
Lu Xu, Jinhai Xiang, Xiaohui Yuan
Feature extraction plays a significant part in computer vision tasks. In this paper, we propose a method which transfers rich deep features from a pretrained model on face verifica…