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Xiang Yan

4 papers here

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

author position
  • middle author2

Across the 2 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • eess.IV1
same name
  • Xiang Yan — 7 papers, h 4
  • Xiang Yan — 6 papers, h 14
  • Xiang Yan — 4 papers, h 3
  • Xiang Yan — 3 papers, h 2
  • Xiang Yan — 2 papers, h 0
  • Xiang Yan — 1 paper

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

most citedSCTransNet: Spatial-channel Cross Transformer Network for Infrared Small Target Detection

209 citations · 209 across the 2 of their papers we have counts for

collaborators

4 papers

cs.CV2024

Beyond Full Labels: Energy-Double-Guided Single-Point Prompt for Infrared Small Target Label Generation

Shuai Yuan, Hanlin Qin, Renke Kou +4

We pioneer a learning-based single-point prompt paradigm for infrared small target label generation (IRSTLG) to lobber annotation burdens. Unlike previous clustering-based methods,…

eess.IV2024

DestripeCycleGAN: Stripe Simulation CycleGAN for Unsupervised Infrared Image Destriping

Shiqi Yang, Hanlin Qin, Shuai Yuan +2

CycleGAN has been proven to be an advanced approach for unsupervised image restoration. This framework consists of two generators: a denoising one for inference and an auxiliary on…

cs.CV2024★ 209 cited

SCTransNet: Spatial-channel Cross Transformer Network for Infrared Small Target Detection

Shuai Yuan, Hanlin Qin, Xiang Yan +2

Infrared small target detection (IRSTD) has recently benefitted greatly from U-shaped neural models. However, largely overlooking effective global information modeling, existing te…

cs.CV2024

ASCNet: Asymmetric Sampling Correction Network for Infrared Image Destriping

Shuai Yuan, Hanlin Qin, Xiang Yan +4

In a real-world infrared imaging system, effectively learning a consistent stripe noise removal model is essential. Most existing destriping methods cannot precisely reconstruct im…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.