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Jin Cao

4 papers hereh-index 369 citations5 works total

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

author position
  • first author2
  • last author2

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

fields
  • cs.CV3
  • eess.IV1
same name
  • Jin Cao — 18 papers, h 3
  • Jin Cao — 9 papers, h 8
  • Jin Cao — 9 papers, h 2
  • Jin Cao — 7 papers, h 7
  • Jin Cao — 6 papers, h 3
  • Jin Cao — 6 papers, h 7

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 citedSTCNet: Spatio-Temporal Cross Network for Industrial Smoke Detection

2 citations · 5 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2024★ 1 cited

Chain-of-Restoration: Multi-Task Image Restoration Models are Zero-Shot Step-by-Step Universal Image Restorers

Jin Cao, Deyu Meng, Xiangyong Cao

Despite previous image restoration (IR) methods have often concentrated on isolated degradations, recent research has increasingly focused on addressing composite degradations invo…

cs.CV2024

HAIR: Hypernetworks-based All-in-One Image Restoration

Jin Cao, Yi Cao, Li Pang +2

Image restoration aims to recover a high-quality clean image from its degraded version. Recent progress in image restoration has demonstrated the effectiveness of All-in-One image…

eess.IV2024★ 2 cited

Infrared Image Super-Resolution via Lightweight Information Split Network

Shijie Liu, Kang Yan, Feiwei Qin +6

Single image super-resolution (SR) is an established pixel-level vision task aimed at reconstructing a high-resolution image from its degraded low-resolution counterpart. Despite t…

cs.CV2020★ 2 cited

STCNet: Spatio-Temporal Cross Network for Industrial Smoke Detection

Yichao Cao, Qingfei Tang, Xiaobo Lu +2

Industrial smoke emissions present a serious threat to natural ecosystems and human health. Prior works have shown that using computer vision techniques to identify smoke is a low…

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