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Aidong Men

13 papers hereh-index 232k citations200 works total

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

author position
  • middle author11
  • last author2

Across the 13 of 13 papers where every author was matched, so the position is known.

fields
  • cs.CV11
  • eess.IV1
  • stat.ML1
same name
  • Aidong Men — 4 papers, h 4
  • Aidong Men — 1 paper
  • Aidong Men — 1 paper, h 4

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
20172023
most citedA Switched View of Retinex: Deep Self-Regularized Low-Light Image Enhancement

68 citations · 125 across the 13 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.CV2022★ 45 cited

Uncertainty-Induced Transferability Representation for Source-Free Unsupervised Domain Adaptation

Jiangbo Pei, Zhuqing Jiang, Aidong Men +3

Source-free unsupervised domain adaptation (SFUDA) aims to learn a target domain model using unlabeled target data and the knowledge of a well-trained source domain model. Most pre…

cs.CV2022★ 7 cited

Delving into the Continuous Domain Adaptation

Yinsong Xu, Zhuqing Jiang, Aidong Men +2

Existing domain adaptation methods assume that domain discrepancies are caused by a few discrete attributes and variations, e.g., art, real, painting, quickdraw, etc. We argue that…

cs.CV2022

Bag of Tricks for Out-of-Distribution Generalization

Zining Chen, Weiqiu Wang, Zhicheng Zhao +2

Recently, out-of-distribution (OOD) generalization has attracted attention to the robustness and generalization ability of deep learning based models, and accordingly, many strateg…

cs.CV2022★ 3 cited

Seeing your sleep stage: cross-modal distillation from EEG to infrared video

Jianan Han, Shaoxing Zhang, Aidong Men +4

It is inevitably crucial to classify sleep stage for the diagnosis of various diseases. However, existing automated diagnosis methods mostly adopt the "gold-standard" lectroencepha…

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