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Lu Xu

4 papers hereh-index 9193 citations18 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • eess.IV2
  • cs.CV1
  • cs.MM1
same name
  • Lu Xu — 12 papers, h 12
  • Lu Xu — 11 papers, h 6
  • Lu Xu — 8 papers, h 7
  • Lu Xu — 6 papers, h 1
  • Lu Xu — 5 papers, h 3
  • Lu Xu — 4 papers, h 9

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182021
most citedTransferring Rich Deep Features for Facial Beauty Prediction

25 citations · 34 across the 4 of their papers we have counts for

collaborators

4 papers

eess.IV2021

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…

eess.IV2021★ 1 cited

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…

cs.MM2020★ 8 cited

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,…

cs.CV2018★ 25 cited

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…

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