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Jian Zhang

4 papers hereh-index 284.5k citations62 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
  • cs.CV4
same name
  • Jian Zhang — 36 papers
  • Jian Zhang — 13 papers
  • Jian Zhang — 11 papers, h 6
  • Jian Zhang — 11 papers
  • Jian Zhang — 9 papers, h 28
  • Jian Zhang — 8 papers, h 43

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
20122022
most citedCOLA-Net: Collaborative Attention Network for Image Restoration

95 citations · 103 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2022

Panini-Net: GAN Prior Based Degradation-Aware Feature Interpolation for Face Restoration

Yinhuai Wang, Yujie Hu, Jian Zhang

Emerging high-quality face restoration (FR) methods often utilize pre-trained GAN models (\textit{i.e.}, StyleGAN2) as GAN Prior. However, these methods usually struggle to balance…

cs.CV2021★ 2 cited

Thousand to One: Semantic Prior Modeling for Conceptual Coding

Jianhui Chang, Zhenghui Zhao, Lingbo Yang +3

Conceptual coding has been an emerging research topic recently, which encodes natural images into disentangled conceptual representations for compression. However, the compression…

cs.CV2021★ 95 cited

COLA-Net: Collaborative Attention Network for Image Restoration

Chong Mou, Jian Zhang, Xiaopeng Fan +2

Local and non-local attention-based methods have been well studied in various image restoration tasks while leading to promising performance. However, most of the existing methods…

cs.CV2012★ 6 cited

Improved Total Variation based Image Compressive Sensing Recovery by Nonlocal Regularization

Jian Zhang, Shaohui Liu, Debin Zhao +2

Recently, total variation (TV) based minimization algorithms have achieved great success in compressive sensing (CS) recovery for natural images due to its virtue of preserving edg…

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