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Jie Liu

4 papers hereh-index 151.6k citations26 works total

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

author position
  • first author1
  • middle author2
  • last author1

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

fields
  • eess.IV3
  • cs.CV1
same name
  • Jie Liu — 51 papers, h 33
  • Jie Liu — 22 papers
  • Jie Liu — 10 papers
  • Jie Liu — 7 papers, h 43
  • Jie Liu — 7 papers
  • Jie Liu — 6 papers

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 citedResidual Feature Distillation Network for Lightweight Image Super-Resolution

32 citations · 36 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CV2021★ 3 cited

Edge-Cloud Collaborated Object Detection via Difficult-Case Discriminator

Zhiqiang Cao, Zhijun Li, Pan Heng +3

As one of the basic tasks of computer vision, object detection has been widely used in many intelligent applications. However, object detection algorithms are usually heavyweight i…

eess.IV2021★ 1 cited

Real-Time Quantized Image Super-Resolution on Mobile NPUs, Mobile AI 2021 Challenge: Report

Andrey Ignatov, Radu Timofte, Maurizio Denna +20

Image super-resolution is one of the most popular computer vision problems with many important applications to mobile devices. While many solutions have been proposed for this task…

eess.IV2021

Anchor-based Plain Net for Mobile Image Super-Resolution

Zongcai Du, Jie Liu, Jie Tang +1

Along with the rapid development of real-world applications, higher requirements on the accuracy and efficiency of image super-resolution (SR) are brought forward. Though existing…

eess.IV2020★ 32 cited

Residual Feature Distillation Network for Lightweight Image Super-Resolution

Jie Liu, Jie Tang, Gangshan Wu

Recent advances in single image super-resolution (SISR) explored the power of convolutional neural network (CNN) to achieve a better performance. Despite the great success of CNN-b…

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