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Haoning Wu

Shanghai Jiao Tong University

17 papers hereh-index 8323 citations19 works total

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

author position
  • first author4
  • middle author12

Across the 16 of 17 papers where every author was matched, so the position is known.

fields
  • cs.CV15
  • cs.AI1
  • cs.RO1
affiliations
  • Shanghai Jiao Tong University
Homepage
same name
  • Haoning Wu — 52 papers, h 31
  • Haoning Wu — 10 papers, h 5
  • Haoning Wu — 7 papers, h 3
  • Haoning Wu — 2 papers, h 0
  • Haoning Wu — 2 papers, h 3
  • Haoning Wu — 1 paper

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
20232026
most citedBoost Video Frame Interpolation via Motion Adaptation

4 citations · 7 across the 15 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CV2024

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities

Haoning Wu, Ziheng Zhao, Ya Zhang +2

Training medical image segmentation models for rare yet clinically important imaging modalities is challenging due to the scarcity of annotated data, and manual mask annotations ca…

cs.CV2024★ 1 cited

Towards Universal Soccer Video Understanding

Jiayuan Rao, Haoning Wu, Hao Jiang +3

As a globally celebrated sport, soccer has attracted widespread interest from fans all over the world. This paper aims to develop a comprehensive multi-modal framework for soccer v…

cs.CV2024★ 1 cited

MegaFusion: Extend Diffusion Models towards Higher-resolution Image Generation without Further Tuning

Haoning Wu, Shaocheng Shen, Qiang Hu +3

Diffusion models have emerged as frontrunners in text-to-image generation, but their fixed image resolution during training often leads to challenges in high-resolution image gener…

cs.CV2024

MatchTime: Towards Automatic Soccer Game Commentary Generation

Jiayuan Rao, Haoning Wu, Chang Liu +2

Soccer is a globally popular sport with a vast audience, in this paper, we consider constructing an automatic soccer game commentary model to improve the audiences' viewing experie…

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