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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 2025Show all

4 papers · 1 filter

cs.CV2025

SoccerMaster: A Vision Foundation Model for Soccer Understanding

Haolin Yang, Jiayuan Rao, Haoning Wu +1

Soccer understanding has recently garnered growing research interest due to its domain-specific complexity and unique challenges. Unlike prior works that typically rely on isolated…

cs.CV2025

SceneGen: Single-Image 3D Scene Generation in One Feedforward Pass

Yanxu Meng, Haoning Wu, Ya Zhang +1

3D content generation has recently attracted significant research interest, driven by its critical applications in VR/AR and embodied AI. In this work, we tackle the challenging ta…

cs.CV2025

SpatialScore: Towards Comprehensive Evaluation for Spatial Intelligence

Haoning Wu, Xiao Huang, Yaohui Chen +3

Existing evaluations of multimodal large language models (MLLMs) on spatial intelligence are typically fragmented and limited in scope. In this work, we aim to conduct a holistic a…

cs.CV2025

Multi-Agent System for Comprehensive Soccer Understanding

Jiayuan Rao, Zifeng Li, Haoning Wu +3

Recent advances in soccer understanding have demonstrated rapid progress, yet existing research predominantly focuses on isolated or narrow tasks. To bridge this gap, we propose a…

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