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Jing Qin

4 papers hereh-index 8985 citations11 works total

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
  • Jing Qin — 15 papers
  • Jing Qin — 8 papers, h 11
  • Jing Qin — 4 papers
  • Jing Qin — 3 papers, h 4
  • Jing Qin — 2 papers
  • Jing Qin — 2 papers, h 17

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 citedMBA-RainGAN: Multi-branch Attention Generative Adversarial Network for Mixture of Rain Removal from Single Images

7 citations · 16 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2021★ 5 cited

From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Data

Ye Liu, Lei Zhu, Shunda Pei +5

Single image dehazing is a challenging task, for which the domain shift between synthetic training data and real-world testing images usually leads to degradation of existing metho…

cs.CV2021★ 2 cited

Direction-aware Feature-level Frequency Decomposition for Single Image Deraining

Sen Deng, Yidan Feng, Mingqiang Wei +5

We present a novel direction-aware feature-level frequency decomposition network for single image deraining. Compared with existing solutions, the proposed network has three compel…

cs.CV2021★ 2 cited

Triple-cooperative Video Shadow Detection

Zhihao Chen, Liang Wan, Lei Zhu +4

Shadow detection in a single image has received significant research interest in recent years. However, much fewer works have been explored in shadow detection over dynamic scenes.…

cs.CV2020★ 7 cited

MBA-RainGAN: Multi-branch Attention Generative Adversarial Network for Mixture of Rain Removal from Single Images

Yiyang Shen, Yidan Feng, Sen Deng +4

Rain severely hampers the visibility of scene objects when images are captured through glass in heavily rainy days. We observe three intriguing phenomenons that, 1) rain is a mixtu…

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