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Cong Wang

4 papers hereh-index 11520 citations24 works total

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

author position
  • first author3
  • middle author1

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

fields
  • cs.CV3
  • eess.IV1
same name
  • Cong Wang — 12 papers
  • Cong Wang — 5 papers, h 11
  • Cong Wang — 5 papers, h 10
  • Cong Wang — 4 papers
  • Cong Wang — 4 papers, h 9
  • Cong Wang — 4 papers, h 11

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 citedJoint Self-Attention and Scale-Aggregation for Self-Calibrated Deraining Network

7 citations · 7 across the 2 of their papers we have counts for

collaborators

4 papers

cs.CV2022

Online-updated High-order Collaborative Networks for Single Image Deraining

Cong Wang, Jinshan Pan, Xiao-Ming Wu

Single image deraining is an important and challenging task for some downstream artificial intelligence applications such as video surveillance and self-driving systems. Most of th…

cs.CV2020★ 7 cited

Joint Self-Attention and Scale-Aggregation for Self-Calibrated Deraining Network

Cong Wang, Yutong Wu, Zhixun Su +1

In the field of multimedia, single image deraining is a basic pre-processing work, which can greatly improve the visual effect of subsequent high-level tasks in rainy conditions. I…

cs.CV2020

DCSFN: Deep Cross-scale Fusion Network for Single Image Rain Removal

Cong Wang, Xiaoying Xing, Zhixun Su +1

Rain removal is an important but challenging computer vision task as rain streaks can severely degrade the visibility of images that may make other visions or multimedia tasks fail…

eess.IV2020

Physical Model Guided Deep Image Deraining

Honghe Zhu, Cong Wang, Yajie Zhang +2

Single image deraining is an urgent task because the degraded rainy image makes many computer vision systems fail to work, such as video surveillance and autonomous driving. So, de…

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