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Ying Zhang

4 papers hereh-index 475 citations13 works total

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

author position
  • middle author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
same name
  • Ying Zhang — 58 papers, h 19
  • Ying Zhang — 21 papers, h 47
  • Ying Zhang — 20 papers, h 11
  • Ying Zhang — 14 papers, h 11
  • Ying Zhang — 12 papers, h 21
  • Ying Zhang — 12 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

most citedLearning Enriched Features via Selective State Spaces Model for Efficient Image Deblurring

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

collaborators

4 papers

cs.CV2025

Towards Arbitrary-Scale Spacecraft Image Super-Resolution via Salient Region-Guidance

Jingfan Yang, Hu Gao, Ying Zhang +1

Spacecraft image super-resolution seeks to enhance low-resolution spacecraft images into high-resolution ones. Although existing arbitrary-scale super-resolution methods perform we…

cs.CV2024

Structure Modeling Activation Free Fourier Network for Spacecraft Image Denoising

Jingfan Yang, Hu Gao, Ying Zhang +2

Spacecraft image denoising is a crucial fundamental technology closely related to aerospace research. However, the existing deep learning-based image denoising methods are primaril…

cs.CV2024

Emphasizing Crucial Features for Efficient Image Restoration

Hu Gao, Bowen Ma, Ying Zhang +3

Image restoration is a challenging ill-posed problem which estimates latent sharp image from its degraded counterpart. Although the existing methods have achieved promising perform…

cs.CV2024★ 1 cited

Learning Enriched Features via Selective State Spaces Model for Efficient Image Deblurring

Hu Gao, Depeng Dang

Image deblurring aims to restore a high-quality image from its corresponding blurred. The emergence of CNNs and Transformers has enabled significant progress. However, these method…

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