Haowen Bai

Haowen Bai

Xi'an Jiaotong University

My name is Haowen Bai (η™½ζ΅©ι—»). I am currently a Ph.D. Candidate at the School of Mathematics and Statistics, Xi’an Jiaotong University, supervised by Prof. Jiangshe Zhang and worked closely with Dr. Zixiang Zhao and Prof. Shuang Xu.

My research focuses on low-level computer vision and multi-source information fusion, with a particular emphasis on multi-modal image fusion and restoration.

Email:
hwbaii@stu.xjtu.edu.cn
haowen.bai@hotmail.com

πŸ”₯ News

  • 2025.06: Two papers are accepted by ICCV 2025 (One on retinex-based image fusion and the other on hyper-spectral image restoration).
  • 2025.02: One paper on multi-modality image fusion is accepted by CVPR 2025 (Highlight).

πŸ“– Educations

  • 2020.09 - Present, Ph.D. in Statistics, Xi’an Jiaotong University.
  • 2016.09 - 2020.06, B.S. in Information and Computing Science, Dalian University of Technology.

πŸ“ Publications

First-Author

ICCV 2025
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Retinex-MEF: Retinex-based Glare Effects Aware Unsupervised Multi-Exposure Image Fusion

IEEE/CVF International Conference on Computer Vision (ICCV), 2025.

Haowen Bai, Jiangshe Zhang*, Zixiang Zhao*, Lilun Deng, Yukun Cui, Shuang Xu

Paper | ArXiv | Code

  • …
CVPR 2025 Highlight
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Task-driven Image Fusion with Learnable Fusion Loss

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025. (Highlight)

Haowen Bai, Jiangshe Zhang*, Zixiang Zhao*, Yichen Wu, Lilun Deng, Yukun Cui, Tao Feng, Shuang Xu

Paper | ArXiv | Code | δΈ­ζ–‡η‰ˆ

  • A task-driven image fusion framework that employs a learnable fusion loss guided by downstream task objectives through meta-learning, enabling adaptive fusion optimization for improved performance in downstream tasks.
IEEE TCSVT 2025
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Deep Unfolding Multi-modal Image Fusion Network via Attribution Analysis

IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 35(4), pp. 3498-3511, 2025.

Haowen Bai, Zixiang Zhao, Jiangshe Zhang*, Baisong Jiang, Lilun Deng, Yukun Cui, Shuang Xu, Chunxia Zhang

Paper | ArXiv | Code

  • An attribution-guided fusion framework that optimizes multi-modal image synthesis for semantic segmentation via unfolding networks and adaptive loss design, prioritizing task-critical features through attribution maps.
IJCV 2024
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ReFusion: Learning Image Fusion from Reconstruction with Learnable Loss Via Meta-Learning

International Journal of Computer Vision (IJCV), pp.1-23, 2024.

Haowen Bai, Zixiang Zhao*, Jiangshe Zhang*, Yichen Wu, Lilun Deng, Yukun Cui, Baisong Jiang, Shuang Xu

Paper | ArXiv | Code

  • Propose a meta-learning-based image fusion framework that dynamically optimizes task-specific loss functions through source image reconstruction to preserve optimal source information.
IEEE TGRS 2024
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Simultaneous Automatic Picking and Manual Picking Refinement for First-Break

IEEE Transactions on Geoscience and Remote Sensing (TGRS), 62, pp. 1-12, 2024.

Haowen Bai, Zixiang Zhao, Jiangshe Zhang*, Yukun Cui, Chunxia Zhang*, Zhenbo Guo, Yongjun Wang

Paper | ArXiv

  • Propose a novel approach that jointly optimizes label refinement and first-break picking performance in microseismic data by integrating a latent variable representation of true first-break times into a probabilistic model.

Collaborative Works

  • ICCV 2025 Hipandas: Hyperspectral Image Joint Denoising and Super-Resolution by Image Fusion with the Panchromatic Image
    IEEE/CVF International Conference on Computer Vision (ICCV), 2025.
    Shuang Xu, Zixiang Zhao, Haowen Bai, Chang Yu, Jiangjun Peng, Xiangyong Cao, Deyu Meng
    Paper | ArXiv | Code

  • ICML 2024 Image fusion via vision-language model
    Forty-first International Conference on Machine Learning (ICML), 2024.
    Zixiang Zhao, Lilun Deng, Haowen Bai, Yukun Cui, Zhipeng Zhang, Yulun Zhang, Haotong Qin, Dongdong Chen, Jiangshe Zhang, Peng Wang, Luc Van Gool
    Project Page | Paper | ArXiv | Code

  • CVPR 2024 Equivariant multi-modality image fusion
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
    Zixiang Zhao, Haowen Bai, Jiangshe Zhang, Yulun Zhang, Kai Zhang, Shuang Xu, Dongdong Chen, Radu Timofte, Luc Van Gool
    Paper | ArXiv | Code
  • ICCV 2023 (Oral) DDFM: denoising diffusion model for multi-modality image fusion
    IEEE/CVF International Conference on Computer Vision (ICCV), 2023.
    Zixiang Zhao, Haowen Bai, Yuanzhi Zhu, Jiangshe Zhang, Shuang Xu, Yulun Zhang, Kai Zhang, Deyu Meng, Radu Timofte, Luc Van Gool
    Paper | ArXiv | Code

  • CVPR 2023 CDDfuse: Correlation-Driven Dual-branch feature decomposition for multi-modality image fusion
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
    Zixiang Zhao, Haowen Bai, Jiangshe Zhang, Yulun Zhang, Shuang Xu, Zudi Lin, Radu Timofte, Luc Van Gool
    Paper | ArXiv | Code

  • CVPRW 2023 Deep convolutional sparse coding networks for interpretable image fusion
    IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023.
    Zixiang Zhao, Jiangshe Zhang, Haowen Bai, Yicheng Wang, Yukun Cui, Lilun Deng, Kai Sun, Chunxia Zhang, Junmin Liu, Shuang Xu
    Paper | Code

🌐 Services

Conference Reviewer:

  • CVPR, ICCV, AAAI, NeurIPS, WACV

Journal Reviewer:

  • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
  • Knowledge-Based Systems
  • Neurocomputing
  • Computer Methods and Programs in Biomedicine