Haoning Wu 「吴浩宁」

I am currently a 3rd-year PhD candidate of MediaBrain at Shanghai Jiao Tong University (SJTU), advised by Prof. Weidi Xie and Prof. Ya Zhang. Previously, I received my B.S. degree in EE (IEEE Pilot Class) also from SJTU in June 2022.

I'm generally interested in multi-modal learning, especially generative models, spatial intelligence, AI4Sports, and AI4Science. My ultimate goal is to build AGI that aggregates multiple modalities including vision, language, and audio.

I'm always eager to communicate and cooperate, so feel free to contact me!!!

Email: haoningwu3639 at gmail.com           WeChat: haoningwu_

Email  /  CV  /  Google Scholar  /  Github  /  Zhihu  /  LinkedIn

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News
Preprints

* denotes equal contribution, and † denotes corresponding author.

SpatialScore SpatialScore: Towards Unified Evaluation for Multimodal Spatial Understanding
Haoning Wu*, Xiao Huang*, Yaohui Chen, Ya Zhang, Yanfeng Wang†, Weidi Xie†
arXiv, 2025.   (NEW)
project page / arXiv / code

In this work, we investigate a critical question: do existing MLLMs possess 3D spatial perception and understanding abilities?

SoccerAgent Multi-Agent System for Comprehensive Soccer Understanding
Jiayuan Rao*, Zifeng Li*, Haoning Wu, Ya Zhang, Yanfeng Wang†, Weidi Xie†
arXiv, 2025.   (NEW)
project page / arXiv / code

In this work, we present SoccerBench, the largest and most comprehensive soccer-specific benchmark, along with a multi-agent system, SoccerAgent, for soccer understanding.

MRGen MRGen: Segmentation Data Engine for Underrepresented MRI Modalities
Haoning Wu*, Ziheng Zhao*, Ya Zhang, Yanfeng Wang†, Weidi Xie†
arXiv, 2024.   (NEW)
project page / arXiv / code

In this work, we establish a novel paradigm for generative models in medical applications: controllably synthesizing data for underrepresented modalities.

Publications

* denotes equal contribution, and † denotes corresponding author.

UniSoccer Towards Universal Soccer Video Understanding
Jiayuan Rao*, Haoning Wu*, Hao Jiang, Ya Zhang, Yanfeng Wang†, Weidi Xie†
CVPR, 2025.   (NEW)
project page / arXiv / code

In this work, we present the first visual-language foundation model tailored for soccer video understanding, which can be applied various downstream tasks.

MegaFusion MegaFusion: Extend Diffusion Models towards Higher-resolution Image Generation without Further Tuning
Haoning Wu*, Shaocheng Shen*, Qiang Hu, Xiaoyun Zhang†, Ya Zhang, Yanfeng Wang
WACV, 2025.   (NEW)
project page / arXiv / code

In this work, we propose a tuning-free strategy to extend the higher-resolution image generation capabilities of existing diffusion models.

MatchTime MatchTime: Towards Automatic Soccer Game Commentary Generation
Jiayuan Rao*, Haoning Wu*, Chang Liu, Yanfeng Wang†, Weidi Xie†
EMNLP, 2024.   (Oral Presentation)
project page / arXiv / code

In this work, we focus on building an visual-language model for automatic soccer game commentary generation.

StoryGen Intelligent Grimm - Open-ended Visual Storytelling via Latent Diffusion Models
Chang Liu*, Haoning Wu*, Yujie Zhong, Xiaoyun Zhang, Yanfeng Wang†, Weidi Xie†
CVPR, 2024.
project page / arXiv / code

In this work, we focus on the task of generating a series of coherent image sequence based on a given storyline, denoted as open-ended visual storytelling.

nerf_sdp NeRF-SDP: Efficient Generalizable Neural Radiance Field with Scene Depth Perception
Qiuwen Wang, Shuai Guo, Haoning Wu, Rong Xie, Li Song†, Wenjun Zhang
ACM Multimedia Asia, 2023.   (Oral Presentation)
paper / code

In this work, we propose a novel framework, termed as NeRF-SDP, to address the challenge of balancing rendering speed and quality in generalizable NeRF.
vfi_adapter Boost Video Frame Interpolation via Simple Motion Adaptation
Haoning Wu, Xiaoyun Zhang†, Weidi Xie, Ya Zhang, Yanfeng Wang†
BMVC, 2023.   (Oral Presentation)
project page / arXiv / code

In this work, we propose a novel optimization-based VFI method that can adapt to unseen motions at test time and boost existing pre-trained models.
lar_sr LAR-SR: A Local Autoregressive Model for Image Super-Resolution
Baisong Guo*, Xiaoyun Zhang*†, Haoning Wu, Yu Wang, Ya Zhang, Yanfeng Wang†
CVPR, 2022.
paper / code

In this work, we propose LAR-SR for super-resolution based on a Local AutoRegessive module, achieving superior performance among generative models for SR.
Reviewer Service
  • Computer Vision and Pattern Recognition (CVPR 2023, 2024, 2025)
  • International Conference on Computer Vision (ICCV 2023, 2025)
  • European Conference on Computer Vision (ECCV 2024)
  • ACM Multimedia (ACM MM 2024, 2025)
  • British Machine Vision Conference (BMVC 2024, 2025) (Outstanding Reviewer in 2024)
  • AAAI Conference on Artificial Intelligence (AAAI 2025)
  • Conference on Neural Information Processing Systems (NeurIPS 2025)
  • Association for Computational Linguistics - Student Research Workshop (ACL-SRW 2025)
Awards
  • [2024] BMVC 2024 Outstanding Reviewer
  • [2021] China National Scholarship (for Undergraduates)
  • [2021] School Scholarship B Prize
  • [2020] School Scholarship C Prize

Updated in May. 2025

Thanks Jon Barron for this amazing website template.