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Yachun Li

3 papers hereh-index 6173 citations9 works total

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

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV3
same name
  • Yachun Li — 20 papers, h 19
  • Yachun Li — 2 papers
  • Yachun li — 1 paper
  • Yachun Li — 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 citedRe-Identification Supervised Texture Generation

3 citations · 4 across the 3 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2023★ 4 cited

Single Domain Dynamic Generalization for Iris Presentation Attack Detection

Yachun Li, Jingjing Wang, Yuhui Chen +2

Iris presentation attack detection (PAD) has achieved great success under intra-domain settings but easily degrades on unseen domains. Conventional domain generalization methods mi…

cs.CV2022

Few-shot One-class Domain Adaptation Based on Frequency for Iris Presentation Attack Detection

Yachun Li, Ying Lian, Jingjing Wang +3

Iris presentation attack detection (PAD) has achieved remarkable success to ensure the reliability and security of iris recognition systems. Most existing methods exploit discrimin…

cs.CV2022★ 1 cited

Unimodal-Concentrated Loss: Fully Adaptive Label Distribution Learning for Ordinal Regression

Qiang Li, Jingjing Wang, Zhaoliang Yao +5

Learning from a label distribution has achieved promising results on ordinal regression tasks such as facial age and head pose estimation wherein, the concept of adaptive label dis…

cs.CV2019★ 3 cited

Re-Identification Supervised Texture Generation

Jian Wang, Yunshan Zhong, Yachun Li +2

The estimation of 3D human body pose and shape from a single image has been extensively studied in recent years. However, the texture generation problem has not been fully discusse…

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