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Yuping Duan

5 papers hereh-index 13 citations9 works total

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

author position
  • middle author3
  • last author2

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

fields
  • cs.CV4
  • cs.LG1
same name
  • Yuping Duan — 6 papers, h 17
  • Yuping Duan — 6 papers, h 5
  • Yuping Duan — 2 papers, h 1
  • Yuping Duan — 1 paper, h 0
  • Yuping Duan — 1 paper, h 1

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 citedNoise-adapted Neural Operator for Robust Non-Line-of-Sight Imaging

1 citations · 1 across the 4 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

Continuous-tone Simple Points: An ℓ0​-Norm of Cyclic Gradient for Topology-Preserving Data-Driven Image Segmentation

Wenxiao Li, Faqiang Wang, Yuping Duan +3

Topological features play an essential role in ensuring geometric plausibility and structural consistency in image analysis tasks such as segmentation and skeletonization. However,…

cs.CV2025★ 1 cited

Noise-adapted Neural Operator for Robust Non-Line-of-Sight Imaging

Lianfang Wang, Kuilin Qin, Xueying Liu +3

This work has been submitted for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible. Computational imaging, esp…

cs.CV2025

Contour Field based Elliptical Shape Prior for the Segment Anything Model

Xinyu Zhao, Faqiang Wang, Li Cui +2

The elliptical shape prior information plays a vital role in improving the accuracy of image segmentation for specific tasks in medical and natural images. Existing deep learning-b…

cs.CV2025

Geometric Constrained Non-Line-of-Sight Imaging

Xueying Liu, Lianfang Wang, Jun Liu +2

Normal reconstruction is crucial in non-line-of-sight (NLOS) imaging, as it provides key geometric and lighting information about hidden objects, which significantly improves recon…

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