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Kun Zhou

15 papers hereh-index 111.2k citations20 works total

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

author position
  • first author9
  • middle author6

Across the 15 of 15 papers where every author was matched, so the position is known.

fields
  • cs.CV13
  • cs.CL1
  • eess.IV1
same name
  • Kun Zhou — 54 papers, h 46
  • Kun Zhou — 22 papers, h 10
  • Kun Zhou — 21 papers, h 11
  • Kun Zhou — 14 papers, h 12
  • Kun Zhou — 14 papers, h 7
  • Kun Zhou — 12 papers, h 3

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
20182025
most citedLAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-Resolution and Beyond

38 citations · 96 across the 15 of their papers we have counts for

collaborators
Showing 2021Show all

3 papers · 1 filter

cs.CL2021

NLP Research and Resources at DaSciM, Ecole Polytechnique

Hadi Abdine, Yanzhu Guo, Moussa Kamal Eddine +5

DaSciM (Data Science and Mining) part of LIX at Ecole Polytechnique, established in 2013 and since then producing research results in the area of large scale data analysis via meth…

cs.CV2021★ 38 cited

LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-Resolution and Beyond

Wenbo Li, Kun Zhou, Lu Qi +3

Single image super-resolution (SISR) deals with a fundamental problem of upsampling a low-resolution (LR) image to its high-resolution (HR) version. Last few years have witnessed i…

eess.IV2021★ 1 cited

Best-Buddy GANs for Highly Detailed Image Super-Resolution

Wenbo Li, Kun Zhou, Lu Qi +4

We consider the single image super-resolution (SISR) problem, where a high-resolution (HR) image is generated based on a low-resolution (LR) input. Recently, generative adversarial…

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