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Jian Zhang

4 papers here

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

author position
  • middle author2
  • last author2

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

fields
  • cs.CV4
same name
  • Jian Zhang — 39 papers
  • Jian Zhang — 16 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

most citedCOAST: COntrollable Arbitrary-Sampling NeTwork for Compressive Sensing

167 citations · 290 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CV2021★ 115 cited

Memory-Augmented Deep Unfolding Network for Compressive Sensing

Jiechong Song, Bin Chen, Jian Zhang

Mapping a truncated optimization method into a deep neural network, deep unfolding network (DUN) has attracted growing attention in compressive sensing (CS) due to its good interpr…

cs.CV2021

Dynamic Attentive Graph Learning for Image Restoration

Chong Mou, Jian Zhang, Zhuoyuan Wu

Non-local self-similarity in natural images has been verified to be an effective prior for image restoration. However, most existing deep non-local methods assign a fixed number of…

cs.CV2021★ 167 cited

COAST: COntrollable Arbitrary-Sampling NeTwork for Compressive Sensing

Di You, Jian Zhang, Jingfen Xie +2

Recent deep network-based compressive sensing (CS) methods have achieved great success. However, most of them regard different sampling matrices as different independent tasks and…

cs.CV2021★ 8 cited

ISTA-Net++: Flexible Deep Unfolding Network for Compressive Sensing

Di You, Jingfen Xie, Jian Zhang

While deep neural networks have achieved impressive success in image compressive sensing (CS), most of them lack flexibility when dealing with multi-ratio tasks and multi-scene ima…

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