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Jian Zhang

4 papers hereh-index 695 citations8 works total

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

author position
  • middle author1
  • last author3

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

fields
  • cs.CV4
same name
  • Jian Zhang — 27 papers, h 12
  • Jian Zhang — 22 papers, h 5
  • Jian Zhang — 16 papers, h 28
  • Jian Zhang — 16 papers, h 6
  • Jian Zhang — 16 papers, h 11
  • Jian Zhang — 15 papers, h 8

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
20222025
most citedD3C2-Net: Dual-Domain Deep Convolutional Coding Network for Compressive Sensing

8 citations · 8 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2025

AssetDropper: Asset Extraction via Diffusion Models with Reward-Driven Optimization

Lanjiong Li, Guanhua Zhao, Lingting Zhu +4

Recent research on generative models has primarily focused on creating product-ready visual outputs; however, designers often favor access to standardized asset libraries, a domain…

cs.CV2024

Practical Compact Deep Compressed Sensing

Bin Chen, Jian Zhang

Recent years have witnessed the success of deep networks in compressed sensing (CS), which allows for a significant reduction in sampling cost and has gained growing attention sinc…

cs.CV2024

ResVR: Joint Rescaling and Viewport Rendering of Omnidirectional Images

Weiqi Li, Shijie Zhao, Bin Chen +4

With the advent of virtual reality technology, omnidirectional image (ODI) rescaling techniques are increasingly embraced for reducing transmitted and stored file sizes while prese…

cs.CV2022★ 8 cited

D3C2-Net: Dual-Domain Deep Convolutional Coding Network for Compressive Sensing

Weiqi Li, Bin Chen, Shuai Liu +4

By mapping iterative optimization algorithms into neural networks (NNs), deep unfolding networks (DUNs) exhibit well-defined and interpretable structures and achieve remarkable suc…

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