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researcher

Ling Zheng

4 papers hereh-index 13579 citations33 works total

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

author position
  • first author1
  • middle author3

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

fields
  • cs.CV3
  • eess.IV1
same name
  • Ling Zheng — 4 papers, h 4
  • Ling Zheng — 3 papers, h 2
  • Ling Zheng — 2 papers, h 2
  • Ling Zheng — 2 papers, h 0
  • Ling Zheng — 1 paper, h 1
  • Ling Zheng — 1 paper, h 4

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
20232025
most citedImage Super-Resolution using Efficient Striped Window Transformer

11 citations · 15 across the 4 of their papers we have counts for

collaborators

4 papers

eess.IV2025

Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution

Xufei Wang, Mingjian Zhang, Fei Ge +7

Even without auxiliary images, single hyperspectral image super-resolution (SHSR) methods can be designed to improve the spatial resolution of hyperspectral images. However, failin…

cs.CV2024

Multi-Scale Implicit Transformer with Re-parameterize for Arbitrary-Scale Super-Resolution

Jinchen Zhu, Mingjian Zhang, Ling Zheng +1

Recently, the methods based on implicit neural representations have shown excellent capabilities for arbitrary-scale super-resolution (ASSR). Although these methods represent the f…

cs.CV2023★ 4 cited

Efficient Mixed Transformer for Single Image Super-Resolution

Ling Zheng, Jinchen Zhu, Jinpeng Shi +1

Recently, Transformer-based methods have achieved impressive results in single image super-resolution (SISR). However, the lack of locality mechanism and high complexity limit thei…

cs.CV2023★ 11 cited

Image Super-Resolution using Efficient Striped Window Transformer

Jinpeng Shi, Hui Li, Tianle Liu +5

Transformers have achieved remarkable results in single-image super-resolution (SR). However, the challenge of balancing model performance and complexity has hindered their applica…

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