Chu Zhou（周矗，シュウ チク）

Assistant Professor by Special Appointment (特任助教) | National Institute of Informatics (国立情報学研究所)

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about me

  • I am currently an assistant professor by special appointment (特任助教) working with Prof. Imari Sato at National Institute of Informatics (NII), Tokyo, Japan. Prior to this, I was a researcher by special appointment (特任研究員) at NII (Aug. 2024 - Feb. 2025).
  • I received my Ph.D. (Sept. 2019 - Jul. 2024) from Peking University (PKU) under the supervision of Prof. Chao Xu and Prof. Boxin Shi. Previously, I obtained my Bachelor degree in 2019 from Huazhong University of Science and Technology (HUST).
  • My research bridges physics-aware perception and robust intelligence. By decoding physical priors from unconventional modalities (e.g., polarimetric and neuromorphic sensing), I aim to build reliable visual foundations for spatial computing, embodied AI, and scientific discovery.

news

Feb 09, 2026 One first-authored paper is accepted by TPAMI! :tada:
Feb 04, 2026 Our 3DV 2026 paper has been selected as an award candidate! :medal_sports:
Nov 28, 2025 Serve as an Area Chair of ICME 2026.
Oct 15, 2025 Receive an ICCV 2025 Outstanding Reviewer Award! :medal_sports:
Jun 26, 2025 One first-authored paper is accepted by ICCV 2025! :tada:
Apr 23, 2025 One first-authored paper is accepted by IJCV! :tada:
Feb 27, 2025 One co-first-authored paper is accepted by CVPR 2025! :tada:
Dec 10, 2024 One first-authored paper and one co-first-authored paper are accepted by AAAI 2025! :tada:
Nov 22, 2024 Receive an ECCV 2024 Outstanding Reviewer Award! :medal_sports:
Oct 12, 2024 Receive a NeurIPS 2024 Scholar Award! :medal_sports:

selected publications

  1. TPAMI
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    Towards a Unified Complementary Fusion Framework for Robust Polarimetric Imaging
    Chu Zhou, Yixing Liu, Minggui Teng, Chao Xu, Boxin Shi, and Imari Sato
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2026
    PDF Supp
  2. ICCV
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    Polarimetric Neural Field via Unified Complex-Valued Wave Representation
    Chu Zhou, Yixin Yang, Junda Liao, Heng Guo, Boxin Shi, and Imari Sato
    Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025
    PDF Supp
  3. IJCV
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    Learning to Deblur Polarized Images
    Chu Zhou, Minggui Teng, Xinyu Zhou, Chao Xu, Imari Sato, and Boxin Shi
    International Journal of Computer Vision, 2025
    PDF Supp
  4. CVPR
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    PIDSR: Complementary Polarized Image Demosaicing and Super-Resolution
    Shuangfan Zhou*, Chu Zhou*, Youwei Lyu, Heng Guo, Zhanyu Ma, Boxin Shi, and Imari Sato
    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
    PDF Supp
  5. AAAI
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    Polarization Guided Mask-Free Shadow Removal
    Chu Zhou, Chao Xu, and Boxin Shi
    Proceedings of the AAAI Conference on Artificial Intelligence, 2025
    PDF Supp
  6. AAAI
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    PlaNet: Learning to Mitigate Atmospheric Turbulence in Planetary Images
    Yifei Xia*, Chu Zhou*, Chengxuan Zhu, Chao Xu, and Boxin Shi
    Proceedings of the AAAI Conference on Artificial Intelligence, 2025
    PDF Supp
  7. NeurIPS
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    Quality-Improved and Property-Preserved Polarimetric Imaging via Complementarily Fusing
    Chu Zhou, Yixing Liu, Chao Xu, and Boxin Shi
    Advances in Neural Information Processing Systems, 2024
    PDF Supp
  8. IJCV
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    Deblurring Low-Light Images with Events
    Chu Zhou, Minggui Teng, Jin Han, Jinxiu Liang, Chao Xu, Gang Cao, and Boxin Shi
    International Journal of Computer Vision, 2023
    PDF Supp
  9. TIP
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    Polarization Guided HDR Reconstruction via Pixel-Wise Depolarization
    Chu Zhou, Yufei Han, Minggui Teng, Jin Han, Si Li, Chao Xu, and Boxin Shi
    IEEE Transactions on Image Processing, 2023
    PDF Supp
  10. AAAI
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    Polarization-Aware Low-Light Image Enhancement
    Chu Zhou, Minggui Teng, Youwei Lyu, Si Li, Chao Xu, and Boxin Shi
    Proceedings of the AAAI Conference on Artificial Intelligence (Oral), 2023
    PDF Supp
  11. NeurIPS
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    Learning to Dehaze with Polarization
    Chu Zhou, Minggui Teng, Yufei Han, Chao Xu, and Boxin Shi
    Advances in Neural Information Processing Systems, 2021
    PDF Supp
  12. NeurIPS
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    UnModNet: Learning to Unwrap a Modulo Image for High Dynamic Range Imaging
    Chu Zhou, Hang Zhao, Jin Han , Chang Xu, Chao Xu, Tiejun Huang, and Boxin Shi
    Advances in Neural Information Processing Systems, 2020
    PDF Supp