Ying Fu

Professor

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Email: fuying@bit.edu.cn

Address: No.5, Zhongguancun South Street, Haidian District, Beijing 100081, China

I am currently a professor with the School of Computer Science and Technology, Beijing Institute of Technology. I received the B.S. degree in Electronic Engineering from Xidian University in 2009, the M.S. degree in Automation from Tsinghua University in 2012, and the Ph.D. degree in information science and technology from the University of Tokyo in 2015. My research interests include computer vision, image and video processing, and computational photography.

News

Sep, 2025 One paper is accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).
Jul, 2025 Several papers are accepted by the IEEE/CVF International Conference on Computer Vision (ICCV).
Jul, 2025 Several papers are accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) .
Feb, 2025 Several papers are accepted by IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2025.
Oct, 2024 Several papers are accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) .

Openings

I’m looking for self-motivated Ph. D./M. S. students with solid background in programming and mathematics. I’m also looking for several PostDocs with strong research background in computer vision, image processing, and deep learning, to join my group. Please send me email if you have interest.

Selected Publications

  1. MSFA Image Denoising using Physics-based Noise Model and Noise-decoupled Network
    Yuqi Jiang,  Ying Fu , Qiankun Liu, and Jun Zhang
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025
  2. RobuSTereo: Robust Zero-Shot Stereo Matching under Adverse Weather
    Yuran Wang, Yingping Liang, Yutao Hu, and  Ying Fu
    In Proceedings of the IEEE/CVF International Conference on Computer Vision, pp., 2025
  3. Physical Degradation Model-Guided Interferometric Hyperspectral Reconstruction with Unfolding Transformer
    Yuansheng Li, Yunhao Zou, Linwei Chen, and  Ying Fu
    In Proceedings of the IEEE/CVF International Conference on Computer Vision, pp., 2025
  4. Frequency-Dynamic Attention Modulation for Dense Prediction
    Linwei Chen, Lin Gu, and  Ying Fu
    In Proceedings of the IEEE/CVF International Conference on Computer Vision, pp., 2025
  5. Learning Dense Feature Matching via Lifting Single 2D Image to 3D Space
    Yingping Liang, Yutao Hu, Wenqi Shao, and  Ying Fu
    In Proceedings of the IEEE/CVF International Conference on Computer Vision, pp., 2025
  6. Spatial Frequency Modulation for Semantic Segmentation
    linwei Chen,  Ying Fu , Lin Gu, Dezhi Zhang, and Jifeng Dai
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025
  7. Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images
    yingping Liang,  Ying Fu , Yutao Hu, Weiqi Shao, Jiaming Liu, and Debing Zhang
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025
  8. Unaligned RGB Guided Hyperspectral Image Super-Resolution with Spatial-Spectral Concordance
    Yingkai Zhang, Zeqiang Lai, Tao Zhang,  Ying Fu , and Chenghu Zhou
    International Journal of Computer Vision, 2025
  9. CVMJ
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    FCDFusion: A fast, low color deviation method for fusing visible and infrared image pairs
    Hesong Li, and  Ying Fu
    Computational Visual Media, vol.11, no.1, pp.195–211, 2025
  10. Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World
    Yuran Wang, Yingping Liang, and  Ying Fu
    In International Joint Conference on Artificial Intelligence, 2025
  11. Noise Calibration and Spatial-Frequency Interactive Network for STEM Image Enhancement
    Hesong Li, Ziqi Wu, Ruiwen Shao, Tao Zhang, and  Ying Fu
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
  12. Distilling Monocular Foundation Model for Fine-grained Depth Completion
    Yingping Liang, Yutao Hu, Wenqi Shao, and  Ying Fu
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
  13. Frequency Dynamic Convolution for Dense Image Prediction
    Linwei Chen, Lin Gu, Liang Li, Chenggang Yan, and  Ying Fu
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
  14. Relation-Guided Adversarial Learning for Data-Free Knowledge Transfer
    Yingping Liang, and  Ying Fu
    International Journal of Computer Vision, vol.133, no.5, pp.2868–2885, 2025
  15. EventHDR: From Event to High-Speed HDR Videos and Beyond
    Yunhao Zou,  Ying Fu , Tsuyoshi Takatani, and Yinqiang Zheng
    IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.47, no.1, pp.32-50, 2024
  16. Frequency-aware Feature Fusion for Dense Image Prediction
    Linwei Chen,  Ying Fu , Lin Gu, Chenggang Yan, Tatsuya Harada, and Gao Huang
    IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.46, no.12, pp.10763-10780, 2024
  17. Transformer Based Pluralistic Image Completion With Reduced Information Loss
    Qiankun Liu, Yuqi Jiang, Zhentao Tan, Dongdong Chen,  Ying Fu , Qi Chu, Gang Hua, and Nenghai Yu
    IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.46, no.10, pp.6652-6668, 2024
  18. TIP
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    Siamese-DETR for Generic Multi-Object Tracking
    Qiankun Liu, Yichen Li, Yuqi Jiang, and  Ying Fu
    IEEE Transactions on Image Processing, vol.33, no., pp.3935-3949, 2024
  19. Object-Aware NIR-to-Visible Translation
    Yunyi Gao, Lin Gu, Qiankun Liu, and  Ying Fu
    In Proceedings of the European Conference on Computer Vision, pp.93–109, 2024
  20. When Semantic Segmentation Meets Frequency Aliasing
    Linwei Chen, Lin Gu, and  Ying Fu
    In The Twelfth International Conference on Learning Representations, pp., 2024
  21. Binarized Low-light Raw Video Enhancement
    Gengchen Zhang, Yulun Zhang, Xin Yuan, and  Ying Fu
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.25753-25762, 2024
  22. Atlantis: Enabling Underwater Depth Estimation with Stable Diffusion
    Fan Zhang, Shaodi You, Yu Li, and  Ying Fu
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.11852-11861, 2024
  23. Multi-Object Tracking in the Dark
    Xinzhe Wang, Kang Ma, Qiankun Liu, Yunhao Zou, and  Ying Fu
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.382-392, 2024
  24. Infrared Small Target Detection with Scale and Location Sensitivity
    Qiankun Liu, Rui Liu, Bolun Zheng, Hongkui Wang, and  Ying Fu
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.17490-17499, 2024
  25. Learning Visual Prompt for Gait Recognition
    Kang Ma,  Ying Fu , Chunshui Cao, Saihui Hou, Yongzhen Huang, and Des Zheng
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.593-603, 2024
  26. Frequency-Adaptive Dilated Convolution for Semantic Segmentation
    Linwei Chen, Lin Gu, Dezhi Zheng, and  Ying Fu
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.3414–3425, 2024
  27. CJE
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    Deep Guided Attention Network for Joint Denoising and Demosaicing in Real Image
    Tao Zhang,  Ying Fu , Jun Zhang, and Chenggang Yan
    Chinese Journal of Electronics, vol.33, no.1, pp.303-312, 2024
  28. Category-Level Band Learning Based Feature Extraction for Hyperspectral Image Classification
    Ying Fu , Hongrong Liu, Yunhao Zou, Shuai Wang, Zhongxiang Li, and Dezhi Zheng
    IEEE Transactions on Geoscience and Remote Sensing, vol.62, pp.1-16, 2023
  29. Blind Super-Resolution of Single Remotely Sensed Hyperspectral Image
    Zhiyuan Liang, Shuai Wang, Tao Zhang, and  Ying Fu
    IEEE Transactions on Geoscience and Remote Sensing, vol.61, pp.1-14, 2023
  30. Raw image based over-exposure correction using channel-guidance strategy
    Ying Fu , Yang Hong, Yunhao Zou, Qiankun Liu, Yiming Zhang, Ning Liu, and Chenggang Yan
    IEEE Transactions on Circuits and Systems for Video Technology, vol.34, pp.2749-2762, 2023
  31. TOG
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    ∇-prox: Differentiable proximal algorithm modeling for large-scale optimization
    Zeqiang Lai, Kaixuan Wei,  Ying Fu , Philipp Härtel, and Felix Heide
    ACM Transactions on Graphics (TOG), vol.42, no.4, pp.1-19, 2023
  32. Recurrent self-supervised video denoising with denser receptive field
    Zichun Wang, Yulun Zhang, Debing Zhang, and  Ying Fu
    In Proceedings of the 31st ACM International Conference on Multimedia, pp.7363-7372, 2023
  33. A large-scale climate-aware satellite image dataset for domain adaptive land-cover semantic segmentation
    Songlin Liu, Linwei Chen, Li Zhang, Jun Hu, and  Ying Fu
    ISPRS Journal of Photogrammetry and Remote Sensing, vol.205, pp.98-114, 2023
  34. Instance Segmentation in the Dark
    Linwei Chen,  Ying Fu , Kaixuan Wei, Dezhi Zheng, and Felix Heide
    International Journal of Computer Vision, vol.131, no.8, pp.2198-2218, 2023
  35. RawHDR: High Dynamic Range Image Reconstruction from a Single Raw Image
    Yunhao Zou, Chenggang Yan, and  Ying Fu
    In Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.12334-12344, 2023
  36. Tuning-free plug-and-play proximal algorithm for inverse imaging problems
    Kaixuan Wei, Angelica Aviles-Rivero, Jingwei Liang,  Ying Fu , Carola-Bibiane Schönlieb, and Hua Huang
    In International Conference on Machine Learning, pp.10158-10169, 2020
  37. A physics-based noise formation model for extreme low-light raw denoising
    Kaixuan Wei,  Ying Fu , Jiaolong Yang, and Hua Huang
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.2758-2767, 2020

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