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Hu Yu

Orcid: 0000-0003-0598-8989

Affiliations:
  • Alibaba Group, DAMO Academy, China
  • University of Science and Technology of China, MoE Key Laboratory of Brain-Inspired Intelligent Perception and Cognition, Hefei, China


According to our database1, Hu Yu authored at least 15 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Lumos-1: On Autoregressive Video Generation from a Unified Model Perspective.
[BibTeX]
[DOI]
Hangjie Yuan
,
Weihua Chen
,
Jun Cen
,
Hu Yu
,
Jingyun Liang
,
Shuning Chang
,
Zhihui Lin
,
Tao Feng
,
Pengwei Liu
,
Jiazheng Xing
,
Hao Luo
,
Jiasheng Tang
,
Fan Wang
,
Yi Yang
CoRR, July, 2025

Frequency Autoregressive Image Generation with Continuous Tokens.
[BibTeX]
[DOI]
Hu Yu
,
Hao Luo
,
Hangjie Yuan
,
Yu Rong
,
Feng Zhao
CoRR, March, 2025

2024
Uncovering the Text Embedding in Text-to-Image Diffusion Models.
[BibTeX]
[DOI]
Hu Yu
,
Hao Luo
,
Fan Wang
,
Feng Zhao
CoRR, 2024

FreqMamba: Viewing Mamba from a Frequency Perspective for Image Deraining.
[BibTeX]
[DOI]
Zhen Zou
,
Hu Yu
,
Jie Huang
,
Feng Zhao
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Unleashing the Potential of the Semantic Latent Space in Diffusion Models for Image Dehazing.
[BibTeX]
[DOI]
Zizheng Yang
,
Hu Yu
,
Bing Li
,
Jinghao Zhang
,
Jie Huang
,
Feng Zhao
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
High-quality Image Dehazing with Diffusion Model.
[BibTeX]
[DOI]
Hu Yu
,
Jie Huang
,
Kaiwen Zheng
,
Man Zhou
,
Feng Zhao
CoRR, 2023

Efficient Multi-exposure Image Fusion via Filter-dominated Fusion and Gradient-driven Unsupervised Learning.
[BibTeX]
[DOI]
Kaiwen Zheng
,
Jie Huang
,
Hu Yu
,
Feng Zhao
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Ingredient-oriented Multi-Degradation Learning for Image Restoration.
[BibTeX]
[DOI]
Jinghao Zhang
,
Jie Huang
,
Mingde Yao
,
Zizheng Yang
,
Hu Yu
,
Man Zhou
,
Feng Zhao
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Visual Recognition-Driven Image Restoration for Multiple Degradation with Intrinsic Semantics Recovery.
[BibTeX]
[DOI]
Zizheng Yang
,
Jie Huang
,
Jiahao Chang
,
Man Zhou
,
Hu Yu
,
Jinghao Zhang
,
Feng Zhao
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Deep Fourier Up-Sampling.
[BibTeX]
[DOI]
Man Zhou
,
Hu Yu
,
Jie Huang
,
Feng Zhao
,
Jinwei Gu
,
Chen Change Loy
,
Deyu Meng
,
Chongyi Li
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Adaptively Learning Low-high Frequency Information Integration for Pan-sharpening.
[BibTeX]
[DOI]
Man Zhou
,
Jie Huang
,
Chongyi Li
,
Hu Yu
,
Keyu Yan
,
Naishan Zheng
,
Feng Zhao
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Source-Free Domain Adaptation for Real-World Image Dehazing.
[BibTeX]
[DOI]
Hu Yu
,
Jie Huang
,
Yajing Liu
,
Qi Zhu
,
Man Zhou
,
Feng Zhao
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Spatial-Frequency Domain Information Integration for Pan-Sharpening.
[BibTeX]
[DOI]
Man Zhou
,
Jie Huang
,
Keyu Yan
,
Hu Yu
,
Xueyang Fu
,
Aiping Liu
,
Xian Wei
,
Feng Zhao
Proceedings of the Computer Vision - ECCV 2022, 2022

Frequency and Spatial Dual Guidance for Image Dehazing.
[BibTeX]
[DOI]
Hu Yu
,
Naishan Zheng
,
Man Zhou
,
Jie Huang
,
Zeyu Xiao
,
Feng Zhao
Proceedings of the Computer Vision - ECCV 2022, 2022

DiffLoss: Unleashing Diffusion Model as Constraint for Training Image Restoration Network.
[BibTeX]
[DOI]
Jiangtong Tan
,
Hu Yu
,
Jie Huang
,
Zizheng Yang
,
Feng Zhao
Proceedings of the Computer Vision - ACCV 2024, 2022


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