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Yiwen Hu

The Chinese University of Hong Kong, Shenzhen

5 papers hereh-index 8591 citations13 works total

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

author position
  • middle author5

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.CL1
affiliations
  • The Chinese University of Hong Kong, Shenzhen
same name
  • Yiwen Hu — 7 papers, h 5
  • Yiwen Hu — 5 papers, h 9
  • Yiwen Hu — 5 papers, h 2
  • Yiwen Hu — 4 papers, h 3
  • Yiwen Hu — 3 papers, h 2
  • Yiwen Hu — 2 papers, h 2

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
20212023
most citedShallow Attention Network for Polyp Segmentation

9 citations · 10 across the 5 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2023★ 1 cited

WeakPolyp: You Only Look Bounding Box for Polyp Segmentation

Jun Wei, Yiwen Hu, Shuguang Cui +2

Limited by expensive pixel-level labels, polyp segmentation models are plagued by data shortage and suffer from impaired generalization. In contrast, polyp bounding box annotations…

cs.CV2022

BoxPolyp:Boost Generalized Polyp Segmentation Using Extra Coarse Bounding Box Annotations

Jun Wei, Yiwen Hu, Guanbin Li +3

Accurate polyp segmentation is of great importance for colorectal cancer diagnosis and treatment. However, due to the high cost of producing accurate mask annotations, existing pol…

cs.CV2022

Toward Clinically Assisted Colorectal Polyp Recognition via Structured Cross-modal Representation Consistency

Weijie Ma, Ye Zhu, Ruimao Zhang +4

The colorectal polyps classification is a critical clinical examination. To improve the classification accuracy, most computer-aided diagnosis algorithms recognize colorectal polyp…

cs.CV2021★ 9 cited

Shallow Attention Network for Polyp Segmentation

Jun Wei, Yiwen Hu, Ruimao Zhang +3

Accurate polyp segmentation is of great importance for colorectal cancer diagnosis. However, even with a powerful deep neural network, there still exists three big challenges that…

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