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Shutao Li

4 papers hereh-index 462 citations8 works total

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

author position
  • middle author2
  • last author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • eess.IV1
same name
  • Shutao Li — 14 papers, h 12
  • Shutao Li — 11 papers, h 84
  • Shutao Li — 5 papers, h 2
  • Shutao Li — 2 papers, h 15
  • Shutao Li — 1 paper, h 3

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 citedDREB-Net: Dual-stream Restoration Embedding Blur-feature Fusion Network for High-mobility UAV Object Detection

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

collaborators

4 papers

cs.CV2025

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection

Shuhai Zhang, ZiHao Lian, Jiahao Yang +6

AI-generated videos have achieved near-perfect visual realism (e.g., Sora), urgently necessitating reliable detection mechanisms. However, detecting such videos faces significant c…

cs.CV2025

Panoramic Out-of-Distribution Segmentation

Mengfei Duan, Yuheng Zhang, Yihong Cao +5

Panoramic imaging enables capturing 360° images with an ultra-wide Field-of-View (FoV) for dense omnidirectional perception, which is critical to applications such as autonomous dr…

cs.CV2024★ 1 cited

DREB-Net: Dual-stream Restoration Embedding Blur-feature Fusion Network for High-mobility UAV Object Detection

Qingpeng Li, Yuxin Zhang, Leyuan Fang +3

Object detection algorithms are pivotal components of unmanned aerial vehicle (UAV) imaging systems, extensively employed in complex fields. However, images captured by high-mobili…

eess.IV2024★ 1 cited

Modeling the Label Distributions for Weakly-Supervised Semantic Segmentation

Linshan Wu, Zhun Zhong, Jiayi Ma +4

Weakly-Supervised Semantic Segmentation (WSSS) aims to train segmentation models by weak labels, which is receiving significant attention due to its low annotation cost. Existing a…

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