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researcher

Yu Li

5 papers here

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

author position
  • first author1
  • middle author3
  • last author1

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • eess.IV1
ORCID 0000-0003-1865-8276
same name
  • Yu Li — 18 papers, h 10
  • Yu Li — 8 papers
  • Yu Li — 8 papers
  • Yu Li — 7 papers, h 14
  • Yu Li — 6 papers, h 9
  • Yu Li — 6 papers, h 6

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
20162023
most citedHaze Visibility Enhancement: A Survey and Quantitative Benchmarking

17 citations · 30 across the 5 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2023

FishDreamer: Towards Fisheye Semantic Completion via Unified Image Outpainting and Segmentation

Hao Shi, Yu Li, Kailun Yang +7

This paper raises the new task of Fisheye Semantic Completion (FSC), where dense texture, structure, and semantics of a fisheye image are inferred even beyond the sensor field-of-v…

cs.CV2023

On Function-Coupled Watermarks for Deep Neural Networks

Xiangyu Wen, Yu Li, Wei Jiang +1

Well-performed deep neural networks (DNNs) generally require massive labelled data and computational resources for training. Various watermarking techniques are proposed to protect…

cs.CV2022★ 13 cited

Rethinking Knowledge Distillation via Cross-Entropy

Zhendong Yang, Zhe Li, Yuan Gong +4

Knowledge Distillation (KD) has developed extensively and boosted various tasks. The classical KD method adds the KD loss to the original cross-entropy (CE) loss. We try to decompo…

cs.CV2016★ 17 cited

Haze Visibility Enhancement: A Survey and Quantitative Benchmarking

Yu Li, Shaodi You, Michael S. Brown +1

This paper provides a comprehensive survey of methods dealing with visibility enhancement of images taken in hazy or foggy scenes. The survey begins with discussing the optical mod…

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