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Chen Wu

25 papers hereh-index 293.4k citations67 works total

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

author position
  • first author5
  • middle author19
  • last author1

Across the 25 of 25 papers where every author was matched, so the position is known.

fields
  • cs.CV20
  • eess.IV3
  • astro-ph.HE1
  • cs.CY1
same name
  • Chen Wu — 39 papers, h 12
  • Chen Wu — 24 papers, h 17
  • Chen Wu — 21 papers, h 9
  • Chen Wu — 16 papers, h 15
  • Chen Wu — 13 papers, h 15
  • Chen Wu — 8 papers, h 8

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
20182026
most citedUnsupervised Multimodal Change Detection Based on Structural Relationship Graph Representation Learning

103 citations · 298 across the 20 of their papers we have counts for

collaborators
Showing 2022 · cs.CVShow all

3 papers · 2 filters

cs.CV2022★ 103 cited

Unsupervised Multimodal Change Detection Based on Structural Relationship Graph Representation Learning

Hongruixuan Chen, Naoto Yokoya, Chen Wu +1

Unsupervised multimodal change detection is a practical and challenging topic that can play an important role in time-sensitive emergency applications. To address the challenge tha…

cs.CV2022★ 86 cited

HyperNet: Self-Supervised Hyperspectral Spatial-Spectral Feature Understanding Network for Hyperspectral Change Detection

Meiqi Hu, Chen Wu, Liangpei Zhang

The fast development of self-supervised learning lowers the bar learning feature representation from massive unlabeled data and has triggered a series of research on change detecti…

cs.CV2022★ 1 cited

Fully Convolutional Change Detection Framework with Generative Adversarial Network for Unsupervised, Weakly Supervised and Regional Supervised Change Detection

Chen Wu, Bo Du, Liangpei Zhang

Deep learning for change detection is one of the current hot topics in the field of remote sensing. However, most end-to-end networks are proposed for supervised change detection,…

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