Publications

2024

1. 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

   DOI Bib PDF Code

   @article{zou2024eventhdr,
     author = {Zou, Yunhao and Fu, Ying and Takatani, Tsuyoshi and Zheng, Yinqiang},
     journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
     title = {EventHDR: From Event to High-Speed HDR Videos and Beyond},
     year = {2024},
     volume = {47},
     number = {1},
     pages = {32-50},
     doi = {10.1109/TPAMI.2024.3469571},
   }

2. 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

   DOI Bib PDF Code

   @article{2024freqfusion,
     author = {Chen, Linwei and Fu, Ying and Gu, Lin and Yan, Chenggang and Harada, Tatsuya and Huang, Gao},
     journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
     title = {Frequency-aware Feature Fusion for Dense Image Prediction},
     year = {2024},
     volume = {46},
     number = {12},
     pages = {10763-10780},
     doi = {10.1109/TPAMI.2024.3449959},
   }

3. 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

   DOI Bib PDF DOWNLOAD Code

   @article{liu2024transformer,
     author = {Liu, Qiankun and Jiang, Yuqi and Tan, Zhentao and Chen, Dongdong and Fu, Ying and Chu, Qi and Hua, Gang and Yu, Nenghai},
     journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
     title = {Transformer Based Pluralistic Image Completion With Reduced Information Loss},
     year = {2024},
     volume = {46},
     number = {10},
     pages = {6652-6668},
     doi = {10.1109/TPAMI.2024.3384406},
   }

4. Siamese-DETR for Generic Multi-Object Tracking

   Qiankun Liu, Yichen Li, Yuqi Jiang, and  Ying Fu

   IEEE Transactions on Image Processing, vol.33, pp.3935-3949, 2024

   Bib PDF

   @article{liu2024siamese,
     title = {Siamese-DETR for Generic Multi-Object Tracking},
     author = {Liu, Qiankun and Li, Yichen and Jiang, Yuqi and Fu, Ying},
     journal = {IEEE Transactions on Image Processing},
     volume = {33},
     pages = {3935-3949},
     year = {2024},
     publisher = {IEEE},
   }

5. Relation-Guided Adversarial Learning for Data-Free Knowledge Transfer

   Yingping Liang, and  Ying Fu

   International Journal of Computer Vision, pp.1–18, 2024

   Bib PDF Code

   @article{2024relation,
     title = {Relation-Guided Adversarial Learning for Data-Free Knowledge Transfer},
     author = {Liang, Yingping and Fu, Ying},
     journal = {International Journal of Computer Vision},
     pages = {1--18},
     year = {2024},
     publisher = {Springer},
   }

6. 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

   Bib PDF Code

   @inproceedings{gao2024object,
     title = {Object-Aware NIR-to-Visible Translation},
     author = {Gao, Yunyi and Gu, Lin and Liu, Qiankun and Fu, Ying},
     booktitle = {Proceedings of the European Conference on Computer Vision},
     pages = {93--109},
     year = {2024},
   }

7. When Semantic Segmentation Meets Frequency Aliasing

   Linwei Chen, Lin Gu, and  Ying Fu

   In The Twelfth International Conference on Learning Representations, 2024

   Bib PDF Code

   @inproceedings{chen2024semantic,
     title = {When Semantic Segmentation Meets Frequency Aliasing},
     author = {Chen, Linwei and Gu, Lin and Fu, Ying},
     booktitle = {The Twelfth International Conference on Learning Representations},
     year = {2024},
   }

8. 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

   Bib PDF Code

   @inproceedings{Zhang2024CVPR,
     title = {Binarized Low-light Raw Video Enhancement},
     author = {Zhang, Gengchen and Zhang, Yulun and Yuan, Xin and Fu, Ying},
     booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
     pages = {25753-25762},
     year = {2024},
   }

9. 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

   Highlight Bib PDF Code

   @inproceedings{zhang2024atlantis,
     title = {Atlantis: Enabling Underwater Depth Estimation with Stable Diffusion},
     author = {Zhang, Fan and You, Shaodi and Li, Yu and Fu, Ying},
     booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
     pages = {11852-11861},
     year = {2024},
   }

10. 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

    Bib PDF Code

    @inproceedings{wang2024multi,
      title = {Multi-Object Tracking in the Dark},
      author = {Wang, Xinzhe and Ma, Kang and Liu, Qiankun and Zou, Yunhao and Fu, Ying},
      booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
      pages = {382-392},
      year = {2024},
    }

11. 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

    Bib PDF Code

    @inproceedings{liu2024infrared,
      title = {Infrared Small Target Detection with Scale and Location Sensitivity},
      author = {Liu, Qiankun and Liu, Rui and Zheng, Bolun and Wang, Hongkui and Fu, Ying},
      booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
      pages = {17490-17499},
      year = {2024},
    }

12. 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

    Bib PDF

    @inproceedings{Ma2024CVPR,
      author = {Ma, Kang and Fu, Ying and Cao, Chunshui and Hou, Saihui and Huang, Yongzhen and Zheng, Des},
      title = {Learning Visual Prompt for Gait Recognition},
      booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
      month = jun,
      year = {2024},
      pages = {593-603},
    }

13. 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

    Highlight Bib PDF Code

    @inproceedings{chen2024frequency,
      title = {Frequency-Adaptive Dilated Convolution for Semantic Segmentation},
      author = {Chen, Linwei and Gu, Lin and Zheng, Dezhi and Fu, Ying},
      booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
      pages = {3414--3425},
      year = {2024},
    }

14. 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

    Bib PDF Code

    @article{zhang2024deep,
      title = {Deep Guided Attention Network for Joint Denoising and Demosaicing in Real Image},
      author = {Zhang, Tao and Fu, Ying and Zhang, Jun and Yan, Chenggang},
      journal = {Chinese Journal of Electronics},
      volume = {33},
      number = {1},
      pages = {303-312},
      year = {2024},
      publisher = {CIE},
    }

2023

1. 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

   Bib PDF DOWNLOAD Code

   @article{fu2023category,
     title = {Category-Level Band Learning Based Feature Extraction for Hyperspectral Image Classification},
     author = {Fu, Ying and Liu, Hongrong and Zou, Yunhao and Wang, Shuai and Li, Zhongxiang and Zheng, Dezhi},
     journal = {IEEE Transactions on Geoscience and Remote Sensing},
     volume = {62},
     pages = {1-16},
     year = {2023},
     publisher = {IEEE},
   }

2. 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

   Bib PDF DOWNLOAD Code

   @article{liang2023blind,
     author = {Liang, Zhiyuan and Wang, Shuai and Zhang, Tao and Fu, Ying},
     journal = {IEEE Transactions on Geoscience and Remote Sensing},
     title = {Blind Super-Resolution of Single Remotely Sensed Hyperspectral Image},
     year = {2023},
     volume = {61},
     pages = {1-14},
   }

3. 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

   Bib PDF DOWNLOAD Code

   @article{fu2023raw,
     title = {Raw image based over-exposure correction using channel-guidance strategy},
     author = {Fu, Ying and Hong, Yang and Zou, Yunhao and Liu, Qiankun and Zhang, Yiming and Liu, Ning and Yan, Chenggang},
     journal = {IEEE Transactions on Circuits and Systems for Video Technology},
     volume = {34},
     pages = {2749-2762},
     year = {2023},
     publisher = {IEEE},
   }

4. ∇-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

   Bib PDF DOWNLOAD Code

   @article{lai2023prox,
     title = {∇-prox: Differentiable proximal algorithm modeling for large-scale optimization},
     author = {Lai, Zeqiang and Wei, Kaixuan and Fu, Ying and H{\"a}rtel, Philipp and Heide, Felix},
     journal = {ACM Transactions on Graphics (TOG)},
     volume = {42},
     number = {4},
     pages = {1-19},
     year = {2023},
     publisher = {ACM New York, NY, USA},
   }

5. Image manipulation detection by multiple tampering traces and edge artifact enhancement

   Pattern Recognition, vol.133, pp.109026-109036, 2023

   Bib PDF DOWNLOAD

   @article{lin2023image,
     title = {Image manipulation detection by multiple tampering traces and edge artifact enhancement},
     journal = {Pattern Recognition},
     volume = {133},
     pages = {109026-109036},
     year = {2023},
     author = {},
   }

6. Joint supervised and unsupervised deep learning method for single-pixel imaging

   Jun Zhang Ye Tian

   Optics & Laser Technology, vol.162, pp.109278-109287, 2023

   Bib PDF DOWNLOAD

   @article{tian2023joint,
     title = {Joint supervised and unsupervised deep learning method for single-pixel imaging},
     journal = {Optics & Laser Technology},
     volume = {162},
     pages = {109278-109287},
     year = {2023},
     author = {Ye Tian, Ying Fu, Jun Zhang},
   }

7. Deep external and internal learning for noisy compressive sensing

   Neurocomputing, vol.531, pp.61-73, 2023

   Bib PDF DOWNLOAD

   @article{zhang2023deep,
     title = {Deep external and internal learning for noisy compressive sensing},
     journal = {Neurocomputing},
     volume = {531},
     pages = {61-73},
     year = {2023},
     author = {},
   }

8. 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

   Bib PDF Code

   @inproceedings{wang2023recurrent,
     title = {Recurrent self-supervised video denoising with denser receptive field},
     author = {Wang, Zichun and Zhang, Yulun and Zhang, Debing and Fu, Ying},
     booktitle = {Proceedings of the 31st ACM International Conference on Multimedia},
     pages = {7363-7372},
     year = {2023},
   }

9. A dual of Transformer features-related map-intelligent generation method

   Zheng Fang,  Ying Fu , and Lixiong Liu

   Journal of Image and Graphics, vol.28, no.10, pp.3281-3294, 2023

   Bib PDF DOWNLOAD Code

   @article{2023transformer,
     title = {A dual of Transformer features-related map-intelligent generation method},
     author = {Fang, Zheng and Fu, Ying and Liu, Lixiong},
     journal = {Journal of Image and Graphics},
     volume = {28},
     number = {10},
     pages = {3281-3294},
     year = {2023},
   }

10. 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

    Bib PDF DOWNLOAD Code

    @article{liu2023a,
      title = {A large-scale climate-aware satellite image dataset for domain adaptive land-cover semantic segmentation},
      journal = {ISPRS Journal of Photogrammetry and Remote Sensing},
      volume = {205},
      pages = {98-114},
      year = {2023},
      author = {Liu, Songlin and Chen, Linwei and Zhang, Li and Hu, Jun and Fu, Ying},
    }

11. 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

    Bib PDF DOWNLOAD Code

    @article{chen2023instance,
      title = {Instance Segmentation in the Dark},
      author = {Chen, Linwei and Fu, Ying and Wei, Kaixuan and Zheng, Dezhi and Heide, Felix},
      journal = {International Journal of Computer Vision},
      volume = {131},
      number = {8},
      pages = {2198-2218},
      year = {2023},
      publisher = {Springer},
    }

12. 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

    Bib PDF Code

    @inproceedings{zou2023rawhdr,
      title = {RawHDR: High Dynamic Range Image Reconstruction from a Single Raw Image},
      author = {Zou, Yunhao and Yan, Chenggang and Fu, Ying},
      booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
      pages = {12334-12344},
      year = {2023},
    }

13. Learning Rain Location Prior for Nighttime Deraining

    Fan Zhang, Shaodi You, Yu Li, and  Ying Fu

    In Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.13148-13157, 2023

    Bib PDF Code

    @inproceedings{zhang2023learning,
      title = {Learning Rain Location Prior for Nighttime Deraining},
      author = {Zhang, Fan and You, Shaodi and Li, Yu and Fu, Ying},
      booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
      pages = {13148-13157},
      year = {2023},
    }

14. Pixel Adaptive Deep Unfolding Transformer for Hyperspectral Image Reconstruction

    Miaoyu Li,  Ying Fu , Ji Liu, and Yulun Zhang

    In Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.12959-12968, 2023

    Bib PDF Code

    @inproceedings{li2023pixel,
      title = {Pixel Adaptive Deep Unfolding Transformer for Hyperspectral Image Reconstruction},
      author = {Li, Miaoyu and Fu, Ying and Liu, Ji and Zhang, Yulun},
      booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
      pages = {12959-12968},
      year = {2023},
    }

15. MPI-Flow: Learning Realistic Optical Flow with Multiplane Images

    Yingping Liang, Jiaming Liu, Debing Zhang, and  Ying Fu

    In Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.13857-13868, 2023

    Bib PDF Code

    @inproceedings{liang2023mpi,
      title = {MPI-Flow: Learning Realistic Optical Flow with Multiplane Images},
      author = {Liang, Yingping and Liu, Jiaming and Zhang, Debing and Fu, Ying},
      booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
      pages = {13857-13868},
      year = {2023},
    }

16. Visible-Infrared Person Re-Identification via Semantic Alignment and Affinity Inference

    Xingye Fang, Yang Yang, and  Ying Fu

    In Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.11270-11279, 2023

    Bib PDF Code

    @inproceedings{fang2023visible,
      author = {Fang, Xingye and Yang, Yang and Fu, Ying},
      title = {Visible-Infrared Person Re-Identification via Semantic Alignment and Affinity Inference},
      booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
      year = {2023},
      pages = {11270-11279},
    }

17. Iterative Denoiser and Noise Estimator for Self-Supervised Image Denoising

    Yunhao Zou, Chenggang Yan, and  Ying Fu

    In Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.13265-13274, 2023

    Bib PDF Code

    @inproceedings{zou2023iterative,
      title = {Iterative Denoiser and Noise Estimator for Self-Supervised Image Denoising},
      author = {Zou, Yunhao and Yan, Chenggang and Fu, Ying},
      booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
      pages = {13265-13274},
      year = {2023},
    }

18. LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World Denoising

    Zichun Wang,  Ying Fu , Ji Liu, and Yulun Zhang

    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.18156-18165, 2023

    Bib PDF Code

    @inproceedings{wang2023lg,
      title = {LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World Denoising},
      author = {Wang, Zichun and Fu, Ying and Liu, Ji and Zhang, Yulun},
      booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
      pages = {18156-18165},
      year = {2023},
    }

19. Dynamic aggregated network for gait recognition

    Kang Ma,  Ying Fu , Dezhi Zheng, Chunshui Cao, Xuecai Hu, and Yongzhen Huang

    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.22076-22085, 2023

    Bib PDF Code

    @inproceedings{ma2023dynamic,
      title = {Dynamic aggregated network for gait recognition},
      author = {Ma, Kang and Fu, Ying and Zheng, Dezhi and Cao, Chunshui and Hu, Xuecai and Huang, Yongzhen},
      booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
      pages = {22076-22085},
      year = {2023},
    }

20. Transformer-Based Under-Sampled Single-Pixel Imaging

    Ye Tian,  Ying Fu , and Jun Zhang

    Chinese Journal of Electronics, vol.32, no.5, pp.1151-1159, 2023

    Bib PDF DOWNLOAD

    @article{tian2023transformer,
      author = {Tian, Ye and Fu, Ying and Zhang, Jun},
      journal = {Chinese Journal of Electronics},
      title = {Transformer-Based Under-Sampled Single-Pixel Imaging},
      year = {2023},
      volume = {32},
      number = {5},
      pages = {1151-1159},
    }

21. Spatial-spectral transformer for hyperspectral image denoising

    Miaoyu Li,  Ying Fu , and Yulun Zhang

    In Proceedings of the AAAI Conference on Artificial Intelligence, vol.37, no.1, pp.1368-1376, 2023

    Bib PDF Code

    @inproceedings{li2023spatial,
      title = {Spatial-spectral transformer for hyperspectral image denoising},
      author = {Li, Miaoyu and Fu, Ying and Zhang, Yulun},
      booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
      volume = {37},
      number = {1},
      pages = {1368-1376},
      year = {2023},
    }

2022

1. Low-light raw video denoising with a high-quality realistic motion dataset

   Ying Fu , Zichun Wang, Tao Zhang, and Jun Zhang

   IEEE Transactions on Multimedia, vol.25, pp.8119-8131, 2022

   Bib PDF DOWNLOAD Code

   @article{fu2022low,
     title = {Low-light raw video denoising with a high-quality realistic motion dataset},
     author = {Fu, Ying and Wang, Zichun and Zhang, Tao and Zhang, Jun},
     journal = {IEEE Transactions on Multimedia},
     volume = {25},
     pages = {8119-8131},
     year = {2022},
     publisher = {IEEE},
   }

2. Level-aware consistent multilevel map translation from satellite imagery

   Ying Fu , Zheng Fang, Linwei Chen, Tao Song, and Defu Lin

   IEEE Transactions on Geoscience and Remote Sensing, vol.61, pp.1-14, 2022

   Bib PDF DOWNLOAD Code

   @article{fu2022level,
     title = {Level-aware consistent multilevel map translation from satellite imagery},
     author = {Fu, Ying and Fang, Zheng and Chen, Linwei and Song, Tao and Lin, Defu},
     journal = {IEEE Transactions on Geoscience and Remote Sensing},
     volume = {61},
     pages = {1-14},
     year = {2022},
     publisher = {IEEE},
   }

3. Plug-and-Play algorithm for under-sampling Fourier single-pixel imaging

   Ying Fu Ye Tian, and Jun Zhang

   Science China Information Sciences, vol.65, pp.1-2, 2022

   Bib PDF DOWNLOAD

   @article{fuying2022scis,
     title = {Plug-and-Play algorithm for under-sampling Fourier single-pixel imaging},
     author = {Ye Tian, Ying Fu and Zhang, Jun},
     journal = {Science China Information Sciences},
     volume = {65},
     issue = {10},
     pages = {1-2},
     year = {2022},
     publisher = {Science China Press},
   }

4. Plug-and-play algorithms for single-pixel imaging

   Ye Tian,  Ying Fu , and Jun Zhang

   Optics and Lasers in Engineering, vol.154, pp.106970-106980, 2022

   Bib PDF DOWNLOAD Code

   @article{tian2022optics,
     title = {Plug-and-play algorithms for single-pixel imaging},
     journal = {Optics and Lasers in Engineering},
     volume = {154},
     pages = {106970-106980},
     year = {2022},
     author = {Tian, Ye and Fu, Ying and Zhang, Jun},
   }

5. Dynamic proximal unrolling network for compressive imaging

   Yixiao Yang, Ran Tao, Kaixuan Wei, and  Ying Fu

   Neurocomputing, vol.510, pp.203-217, 2022

   Bib PDF DOWNLOAD

   @article{yang2022dynamic,
     title = {Dynamic proximal unrolling network for compressive imaging},
     author = {Yang, Yixiao and Tao, Ran and Wei, Kaixuan and Fu, Ying},
     journal = {Neurocomputing},
     volume = {510},
     pages = {203-217},
     year = {2022},
   }

6. Hybrid supervised instance segmentation by learning label noise suppression

   Linwei Chen,  Ying Fu , Shaodi You, and Hongzhe Liu

   Neurocomputing, vol.496, pp.131-146, 2022

   Bib PDF DOWNLOAD Code

   @article{chen2022hybrid,
     title = {Hybrid supervised instance segmentation by learning label noise suppression},
     journal = {Neurocomputing},
     volume = {496},
     pages = {131-146},
     year = {2022},
     author = {Chen, Linwei and Fu, Ying and You, Shaodi and Liu, Hongzhe},
   }

7. Deep plug-and-play prior for hyperspectral image restoration

   Zeqiang Lai, Kaixuan Wei, and  Ying Fu

   Neurocomputing, vol.481, pp.281-293, 2022

   Bib PDF DOWNLOAD Code

   @article{lai2022deep,
     title = {Deep plug-and-play prior for hyperspectral image restoration},
     author = {Lai, Zeqiang and Wei, Kaixuan and Fu, Ying},
     journal = {Neurocomputing},
     volume = {481},
     pages = {281-293},
     year = {2022},
   }

8. LE-GAN: Unsupervised low-light image enhancement network using attention module and identity invariant loss

   Ying Fu , Yang Hong, Linwei Chen, and Shaodi You

   Knowledge-Based Systems, vol.240, pp.108010-108020, 2022

   Bib PDF DOWNLOAD Code

   @article{fu2022gan,
     title = {LE-GAN: Unsupervised low-light image enhancement network using attention module and identity invariant loss},
     author = {Fu, Ying and Hong, Yang and Chen, Linwei and You, Shaodi},
     journal = {Knowledge-Based Systems},
     volume = {240},
     pages = {108010-108020},
     year = {2022},
     publisher = {Elsevier},
   }

9. Joint Spatial-Spectral Pattern Optimization and Hyperspectral Image Reconstruction

   Tao Zhang, Zhiyuan Liang, and  Ying Fu

   IEEE Journal of Selected Topics in Signal Processing, vol.16, no.4, pp.636-648, 2022

   Bib PDF DOWNLOAD Code

   @article{zhang2022joint,
     author = {Zhang, Tao and Liang, Zhiyuan and Fu, Ying},
     journal = {IEEE Journal of Selected Topics in Signal Processing},
     title = {Joint Spatial-Spectral Pattern Optimization and Hyperspectral Image Reconstruction},
     year = {2022},
     volume = {16},
     number = {4},
     pages = {636-648},
   }

10. Consistency-Aware Map Generation at Multiple Zoom Levels Using Aerial Image

    Linwei Chen, Zheng Fang, and  Ying Fu

    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.15, pp.5953-5966, 2022

    Bib PDF DOWNLOAD Code

    @article{chen2022consistency,
      author = {Chen, Linwei and Fang, Zheng and Fu, Ying},
      journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
      title = {Consistency-Aware Map Generation at Multiple Zoom Levels Using Aerial Image},
      year = {2022},
      volume = {15},
      pages = {5953-5966},
    }

11. TFPnP: Tuning-free Plug-and-Play Proximal Algorithms with Applications to Inverse Imaging Problems.

    Kaixuan Wei, Angelica I Avilés-Rivero, Jingwei Liang,  Ying Fu , Hua Huang, and Carola-Bibiane Schönlieb

    Journal of Machine Learning Research, vol.23, no.16, pp.1-48, 2022

    Bib PDF DOWNLOAD Code

    @article{wei2022tfpnp,
      title = {TFPnP: Tuning-free Plug-and-Play Proximal Algorithms with Applications to Inverse Imaging Problems.},
      author = {Wei, Kaixuan and Avil{\'e}s-Rivero, Angelica I and Liang, Jingwei and Fu, Ying and Huang, Hua and Sch{\"o}nlieb, Carola-Bibiane},
      journal = {Journal of Machine Learning Research},
      volume = {23},
      number = {16},
      pages = {1-48},
      year = {2022},
    }

12. Guided hyperspectral image denoising with realistic data

    Tao Zhang,  Ying Fu , and Jun Zhang

    International Journal of Computer Vision, vol.130, no.11, pp.2885–2901, 2022

    Bib PDF DOWNLOAD

    @article{zhang2022guided,
      title = {Guided hyperspectral image denoising with realistic data},
      author = {Zhang, Tao and Fu, Ying and Zhang, Jun},
      journal = {International Journal of Computer Vision},
      volume = {130},
      number = {11},
      pages = {2885--2901},
      year = {2022},
      publisher = {Springer},
    }

13. HSI-Guided Intrinsic Image Decomposition for Outdoor Scenes

    Fan Zhang, Shaodi You, Yu Li, and  Ying Fu

    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, pp.313-322, 2022

    Bib PDF Code

    @inproceedings{zhang2022hsi,
      author = {Zhang, Fan and You, Shaodi and Li, Yu and Fu, Ying},
      title = {HSI-Guided Intrinsic Image Decomposition for Outdoor Scenes},
      booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
      year = {2022},
      pages = {313-322},
    }

14. Estimating Fine-Grained Noise Model via Contrastive Learning

    Yunhao Zou, and  Ying Fu

    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.12682-12691, 2022

    Bib PDF Code

    @inproceedings{zou2022estimating,
      author = {Zou, Yunhao and Fu, Ying},
      title = {Estimating Fine-Grained Noise Model via Contrastive Learning},
      booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
      year = {2022},
      pages = {12682-12691},
    }

15. Reinforcement Learning Based Plug-and-Play Method for Hyperspectral Image Reconstruction

    Yingkai Zhang Ying Fu

    In CAAI International Conference on Artificial Intelligence, pp.466-477, 2022

    Bib PDF

    @inproceedings{zhang2022reinforcement,
      title = {Reinforcement Learning Based Plug-and-Play Method for Hyperspectral Image Reconstruction},
      author = {Ying Fu, Yingkai Zhang},
      booktitle = {CAAI International Conference on Artificial Intelligence},
      year = {2022},
      pages = {466-477},
      organization = {Springer},
    }

16. Low Light Video Enhancement Based on Temporal-Spatial Complementary Feature

    Gengchen Zhang, Yuhang Zeng, and  Ying Fu

    In CAAI International Conference on Artificial Intelligence, pp.368–379, 2022

    Bib PDF

    @inproceedings{zhang2022low,
      title = {Low Light Video Enhancement Based on Temporal-Spatial Complementary Feature},
      author = {Zhang, Gengchen and Zeng, Yuhang and Fu, Ying},
      booktitle = {CAAI International Conference on Artificial Intelligence},
      pages = {368--379},
      year = {2022},
      organization = {Springer},
    }

17. Quantum Dots-Functionalized Encryption Camera for Text Image Security Protection

    Xue Li, Jia Peng, Tao Zhang, Mingrui Liu,  Ying Fu , Haizheng Zhong, and Jun Zhang

    Advanced Intelligent Systems, vol.4, no.12, pp.2200171-2200177, 2022

    Bib DOWNLOAD Code

    @article{li2022quantum,
      title = {Quantum Dots-Functionalized Encryption Camera for Text Image Security Protection},
      author = {Li, Xue and Peng, Jia and Zhang, Tao and Liu, Mingrui and Fu, Ying and Zhong, Haizheng and Zhang, Jun},
      journal = {Advanced Intelligent Systems},
      volume = {4},
      number = {12},
      pages = {2200171-2200177},
      year = {2022},
      publisher = {Wiley Online Library},
    }

18. Event-Guided Video Clip Generation from Blurry Images

    Xin Ding, Tsuyoshi Takatani, Zhongyuan Wang,  Ying Fu , and Yinqiang Zheng

    In Proceedings of the 30th ACM International Conference on Multimedia, pp.2672-2680, 2022

    Bib PDF

    @inproceedings{yingfu2022event,
      author = {Ding, Xin and Takatani, Tsuyoshi and Wang, Zhongyuan and Fu, Ying and Zheng, Yinqiang},
      title = {Event-Guided Video Clip Generation from Blurry Images},
      year = {2022},
      publisher = {Association for Computing Machinery},
      booktitle = {Proceedings of the 30th ACM International Conference on Multimedia},
      pages = {2672-2680},
      numpages = {9},
    }

19. Deep Spatial Adaptive Network for Real Image Demosaicing

    Tao Zhang,  Ying Fu , and Cheng Li

    In Proceedings of the AAAI Conference on Artificial Intelligence, vol.36, no.3, pp.3326-3334, 2022

    Bib PDF Code

    @inproceedings{zhang2022deep,
      title = {Deep Spatial Adaptive Network for Real Image Demosaicing},
      author = {Zhang, Tao and Fu, Ying and Li, Cheng},
      booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
      volume = {36},
      number = {3},
      pages = {3326-3334},
      year = {2022},
    }

20. Coded hyperspectral image reconstruction using deep external and internal learning

    Ying Fu , Tao Zhang, Lizhi Wang, and Hua Huang

    IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.44, no.7, pp.3404-3420, 2022

    Bib PDF DOWNLOAD Code

    @article{fu2021coded,
      title = {Coded hyperspectral image reconstruction using deep external and internal learning},
      author = {Fu, Ying and Zhang, Tao and Wang, Lizhi and Huang, Hua},
      journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
      volume = {44},
      number = {7},
      pages = {3404-3420},
      year = {2022},
      publisher = {IEEE},
    }

21. A large-scale hyperspectral dataset for flower classification

    Yongrong Zheng, Tao Zhang, and  Ying Fu

    Knowledge-Based Systems, vol.236, pp.107647-107658, 2022

    Bib PDF DOWNLOAD Code

    @article{zheng2022large,
      title = {A large-scale hyperspectral dataset for flower classification},
      author = {Zheng, Yongrong and Zhang, Tao and Fu, Ying},
      journal = {Knowledge-Based Systems},
      volume = {236},
      pages = {107647-107658},
      year = {2022},
      publisher = {Elsevier},
    }

22. Physics-based noise modeling for extreme low-light photography

    Kaixuan Wei,  Ying Fu , Yinqiang Zheng, and Jiaolong Yang

    IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.44, no.11, pp.8520-8537, 2022

    Bib PDF DOWNLOAD Code

    @article{wei2021physics,
      title = {Physics-based noise modeling for extreme low-light photography},
      author = {Wei, Kaixuan and Fu, Ying and Zheng, Yinqiang and Yang, Jiaolong},
      journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
      volume = {44},
      number = {11},
      pages = {8520-8537},
      year = {2022},
      publisher = {IEEE},
    }

23. Dynamic proximal unrolling network for compressive imaging

    Yixiao Yang, Ran Tao, Kaixuan Wei, and  Ying Fu

    Neurocomputing, vol.510, pp.203-217, 2022

    Bib PDF DOWNLOAD

    @article{yang2022dynamid,
      title = {Dynamic proximal unrolling network for compressive imaging},
      author = {Yang, Yixiao and Tao, Ran and Wei, Kaixuan and Fu, Ying},
      journal = {Neurocomputing},
      volume = {510},
      pages = {203-217},
      year = {2022},
      publisher = {Elsevier},
    }

24. Joint camera spectral response selection and hyperspectral image recovery

    Ying Fu , Tao Zhang, Yinqiang Zheng, Debing Zhang, and Hua Huang

    IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.44, no.1, pp.256-272, 2022

    Bib PDF DOWNLOAD

    @article{fu2020joint,
      title = {Joint camera spectral response selection and hyperspectral image recovery},
      author = {Fu, Ying and Zhang, Tao and Zheng, Yinqiang and Zhang, Debing and Huang, Hua},
      journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
      volume = {44},
      number = {1},
      pages = {256-272},
      year = {2022},
      publisher = {IEEE},
    }

2021

1. Efficient Hybrid Supervision for Instance Segmentation in Aerial Images

   Linwei Chen,  Ying Fu , Shaodi You, and Hongzhe Liu

   Remote Sensing, vol.13, no.2, pp.252-273, 2021

   Bib PDF DOWNLOAD Code

   @article{chen2021efficient,
     title = {Efficient Hybrid Supervision for Instance Segmentation in Aerial Images},
     author = {Chen, Linwei and Fu, Ying and You, Shaodi and Liu, Hongzhe},
     journal = {Remote Sensing},
     volume = {13},
     number = {2},
     pages = {252-273},
     year = {2021},
     publisher = {Multidisciplinary Digital Publishing Institute},
   }

2. Cross-modal context-gated convolution for multi-modal sentiment analysis

   Huanglu Wen, Shaodi You, and  Ying Fu

   Pattern Recognition Letters, vol.146, pp.252-259, 2021

   Bib PDF DOWNLOAD

   @article{wen2021cross,
     title = {Cross-modal context-gated convolution for multi-modal sentiment analysis},
     author = {Wen, Huanglu and You, Shaodi and Fu, Ying},
     journal = {Pattern Recognition Letters},
     volume = {146},
     pages = {252-259},
     year = {2021},
     publisher = {Elsevier},
   }

3. 3D^2Unet: 3D Deformable Unet for Low-Light Video Enhancement

   Yuhang Zeng, Yunhao Zou, and  Ying Fu

   In Chinese Conference on Pattern Recognition and Computer Vision (PRCV), pp.66-77, 2021

   Bib PDF Code

   @inproceedings{zeng2021mathrm,
     title = {$3D^{2}Unet$: 3D Deformable Unet for Low-Light Video Enhancement},
     author = {Zeng, Yuhang and Zou, Yunhao and Fu, Ying},
     booktitle = {Chinese Conference on Pattern Recognition and Computer Vision (PRCV)},
     pages = {66-77},
     year = {2021},
     organization = {Springer},
   }

4. Residual scale attention network for arbitrary scale image super-resolution

   Ying Fu , Jian Chen, Tao Zhang, and Yonggang Lin

   Neurocomputing, vol.427, pp.201-211, 2021

   Bib PDF DOWNLOAD Code

   @article{fu2021residual,
     title = {Residual scale attention network for arbitrary scale image super-resolution},
     author = {Fu, Ying and Chen, Jian and Zhang, Tao and Lin, Yonggang},
     journal = {Neurocomputing},
     volume = {427},
     pages = {201-211},
     year = {2021},
     publisher = {Elsevier},
   }

5. Bidirectional 3d quasi-recurrent neural network for hyperspectral image super-resolution

   Ying Fu , Zhiyuan Liang, and Shaodi You

   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.14, pp.2674-2688, 2021

   Bib PDF DOWNLOAD Code

   @article{fu2021bidirectional,
     title = {Bidirectional 3d quasi-recurrent neural network for hyperspectral image super-resolution},
     author = {Fu, Ying and Liang, Zhiyuan and You, Shaodi},
     journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
     volume = {14},
     pages = {2674-2688},
     year = {2021},
     publisher = {IEEE},
   }

6. Disentangled Face Attribute Editing via Instance-Aware Latent Space Search

   Jiaolong Yang Yuxuan Han, and  Ying Fu

   In International Joint Conference on Artificial Intelligence, pp.715-721, 2021

   Bib PDF Code

   @inproceedings{han2021IALS,
     title = {Disentangled Face Attribute Editing via Instance-Aware Latent Space Search},
     author = {Yuxuan Han, Jiaolong Yang and Fu, Ying},
     booktitle = {International Joint Conference on Artificial Intelligence},
     year = {2021},
     pages = {715-721},
   }

7. Translation of aerial image into digital map via discriminative segmentation and creative generation

   Ying Fu , Shuaizhe Liang, Dongdong Chen, and Zhanlong Chen

   IEEE Transactions on Geoscience and Remote Sensing, vol.60, pp.1-15, 2021

   Bib PDF DOWNLOAD Code

   @article{fu2021translation,
     title = {Translation of aerial image into digital map via discriminative segmentation and creative generation},
     author = {Fu, Ying and Liang, Shuaizhe and Chen, Dongdong and Chen, Zhanlong},
     journal = {IEEE Transactions on Geoscience and Remote Sensing},
     volume = {60},
     pages = {1-15},
     year = {2021},
     publisher = {IEEE},
   }

8. LocalTrans: A Multiscale Local Transformer Network for Cross-Resolution Homography Estimation

   Ruizhi Shao, Gaochang Wu, Yuemei Zhou,  Ying Fu , Lu Fang, and Yebin Liu

   In Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.14890-14899, 2021

   Bib PDF Code

   @inproceedings{shao2021localtrans,
     author = {Shao, Ruizhi and Wu, Gaochang and Zhou, Yuemei and Fu, Ying and Fang, Lu and Liu, Yebin},
     title = {LocalTrans: A Multiscale Local Transformer Network for Cross-Resolution Homography Estimation},
     booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
     year = {2021},
     pages = {14890-14899},
   }

9. Partial FC: Training 10 Million Identities on a Single Machine

   Xiang An, Xuhan Zhu, Yuan Gao, Yang Xiao, Yongle Zhao, Ziyong Feng, Lan Wu, Bin Qin, Ming Zhang, Debing Zhang, and 1 more author

   In Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.1445-1449, 2021

   Bib PDF

   @inproceedings{xiang2021partial,
     author = {An, Xiang and Zhu, Xuhan and Gao, Yuan and Xiao, Yang and Zhao, Yongle and Feng, Ziyong and Wu, Lan and Qin, Bin and Zhang, Ming and Zhang, Debing and Fu, Ying},
     title = {Partial FC: Training 10 Million Identities on a Single Machine},
     booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
     year = {2021},
     pages = {1445-1449},
   }

10. Hyperspectral image denoising with realistic data

    Tao Zhang,  Ying Fu , and Cheng Li

    In Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.2248-2257, 2021

    Bib PDF Code

    @inproceedings{zhang2021hyperspectral,
      title = {Hyperspectral image denoising with realistic data},
      author = {Zhang, Tao and Fu, Ying and Li, Cheng},
      booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
      pages = {2248-2257},
      year = {2021},
    }

11. Weakly-supervised semantic segmentation in cityscape via hyperspectral image

    Yuxing Huang, Qiu Shen,  Ying Fu , and Shaodi You

    In Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.1117-1126, 2021

    Bib PDF

    @inproceedings{huang2021weakly,
      title = {Weakly-supervised semantic segmentation in cityscape via hyperspectral image},
      author = {Huang, Yuxing and Shen, Qiu and Fu, Ying and You, Shaodi},
      booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
      pages = {1117-1126},
      year = {2021},
    }

12. Learning To Reconstruct High Speed and High Dynamic Range Videos From Events

    Yunhao Zou, Yinqiang Zheng, Tsuyoshi Takatani, and  Ying Fu

    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.2024-2033, 2021

    Bib PDF Code

    @inproceedings{zou2021learning,
      author = {Zou, Yunhao and Zheng, Yinqiang and Takatani, Tsuyoshi and Fu, Ying},
      title = {Learning To Reconstruct High Speed and High Dynamic Range Videos From Events},
      booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
      year = {2021},
      pages = {2024-2033},
    }

13. Learning Temporal Consistency for Low Light Video Enhancement From Single Images

    Fan Zhang, Yu Li, Shaodi You, and  Ying Fu

    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.4967-4976, 2021

    Bib PDF Code

    @inproceedings{zhang2021learning,
      author = {Zhang, Fan and Li, Yu and You, Shaodi and Fu, Ying},
      title = {Learning Temporal Consistency for Low Light Video Enhancement From Single Images},
      booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
      year = {2021},
      pages = {4967-4976},
    }

14. Cross-MPI: Cross-Scale Stereo for Image Super-Resolution Using Multiplane Images

    Yuemei Zhou, Gaochang Wu,  Ying Fu , Kun Li, and Yebin Liu

    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.14842-14851, 2021

    Bib PDF Code

    @inproceedings{zhou2021cross,
      author = {Zhou, Yuemei and Wu, Gaochang and Fu, Ying and Li, Kun and Liu, Yebin},
      title = {Cross-MPI: Cross-Scale Stereo for Image Super-Resolution Using Multiplane Images},
      booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
      year = {2021},
      pages = {14842-14851},
    }

15. Crafting Object Detection in Very Low Light

    Yang Hong, Kaixuan Wei, Linwei Chen, and  Ying Fu

    In BMVC, vol.1, no.2, pp.1-15, 2021

    Bib PDF Code

    @inproceedings{hong2021crafting,
      title = {Crafting Object Detection in Very Low Light},
      author = {Hong, Yang and Wei, Kaixuan and Chen, Linwei and Fu, Ying},
      booktitle = {BMVC},
      volume = {1},
      number = {2},
      pages = {1-15},
      year = {2021},
    }

2020

1. 3-D quasi-recurrent neural network for hyperspectral image denoising

   Kaixuan Wei,  Ying Fu , and Hua Huang

   IEEE transactions on neural networks and learning systems, vol.32, no.1, pp.363-375, 2020

   Bib PDF DOWNLOAD Code

   @article{fuying2020tnnls,
     title = {3-D quasi-recurrent neural network for hyperspectral image denoising},
     author = {Wei, Kaixuan and Fu, Ying and Huang, Hua},
     journal = {IEEE transactions on neural networks and learning systems},
     volume = {32},
     number = {1},
     pages = {363-375},
     year = {2020},
     publisher = {IEEE},
   }

2. CSR-Net: Camera Spectral Response Network for Dimensionality Reduction and Classification in Hyperspectral Imagery

   Yunhao Zou,  Ying Fu , Yinqiang Zheng, and Wei Li

   Remote Sensing, vol.12, no.20, pp.3294-3314, 2020

   Bib PDF DOWNLOAD Code

   @article{fu2020csr,
     title = {CSR-Net: Camera Spectral Response Network for Dimensionality Reduction and Classification in Hyperspectral Imagery},
     author = {Zou, Yunhao and Fu, Ying and Zheng, Yinqiang and Li, Wei},
     journal = {Remote Sensing},
     volume = {12},
     number = {20},
     pages = {3294-3314},
     year = {2020},
   }

3. Illumination modulation for reflective and fluorescent separation

   Ying Fu , Yunhao Zou, Liheng Bian, Yuxiang Guo, and Hua Huang

   Optics Letters, vol.45, no.5, pp.1120-1123, 2020

   Bib PDF DOWNLOAD Code

   @article{fu2020illumination,
     title = {Illumination modulation for reflective and fluorescent separation},
     author = {Fu, Ying and Zou, Yunhao and Bian, Liheng and Guo, Yuxiang and Huang, Hua},
     journal = {Optics Letters},
     volume = {45},
     number = {5},
     pages = {1120-1123},
     year = {2020},
   }

4. 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

   Oral Bib PDF Code

   Oral, Outstanding Paper Award

   @inproceedings{fuying2020icml,
     title = {Tuning-free plug-and-play proximal algorithm for inverse imaging problems},
     author = {Wei, Kaixuan and Aviles-Rivero, Angelica and Liang, Jingwei and Fu, Ying and Sch{\"o}nlieb, Carola-Bibiane and Huang, Hua},
     booktitle = {International Conference on Machine Learning},
     pages = {10158-10169},
     year = {2020},
     organization = {PMLR},
   }

5. Dnu: Deep non-local unrolling for computational spectral imaging

   Lizhi Wang, Chen Sun, Maoqing Zhang,  Ying Fu , and Hua Huang

   In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.1661-1671, 2020

   Bib PDF Code

   @inproceedings{wang2020dnu,
     title = {Dnu: Deep non-local unrolling for computational spectral imaging},
     author = {Wang, Lizhi and Sun, Chen and Zhang, Maoqing and Fu, Ying and Huang, Hua},
     booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
     pages = {1661-1671},
     year = {2020},
   }

6. 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

   Oral Bib PDF Code

   @inproceedings{wei2020physics,
     title = {A physics-based noise formation model for extreme low-light raw denoising},
     author = {Wei, Kaixuan and Fu, Ying and Yang, Jiaolong and Huang, Hua},
     booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
     pages = {2758-2767},
     year = {2020},
   }

7. Gps-net: Graph-based photometric stereo network

   Zhuokun Yao, Kun Li,  Ying Fu , Haofeng Hu, and Boxin Shi

   Advances in Neural Information Processing Systems, vol.33, pp.10306-10316, 2020

   Bib PDF

   @article{yao2020gps,
     title = {Gps-net: Graph-based photometric stereo network},
     author = {Yao, Zhuokun and Li, Kun and Fu, Ying and Hu, Haofeng and Shi, Boxin},
     journal = {Advances in Neural Information Processing Systems},
     volume = {33},
     pages = {10306-10316},
     year = {2020},
   }

8. Simultaneous hyperspectral image super-resolution and geometric alignment with a hybrid camera system

   Ying Fu , Yongrong Zheng, Lin Zhang, Yinqiang Zheng, and Hua Huang

   Neurocomputing, vol.384, pp.282-294, 2020

   Bib PDF DOWNLOAD

   @article{fuying-2019-Neurocomputing,
     title = {Simultaneous hyperspectral image super-resolution and geometric alignment with a hybrid camera system},
     author = {Fu, Ying and Zheng, Yongrong and Zhang, Lin and Zheng, Yinqiang and Huang, Hua},
     journal = {Neurocomputing},
     volume = {384},
     pages = {282-294},
     year = {2020},
   }

2019

1. Global topology constraint network for fine-grained vehicle recognition

   Ye Xiang,  Ying Fu , and Hua Huang

   IEEE Transactions on Intelligent Transportation Systems, vol.21, no.7, pp.2918-2929, 2019

   Bib PDF DOWNLOAD

   @article{xiang2019global,
     title = {Global topology constraint network for fine-grained vehicle recognition},
     author = {Xiang, Ye and Fu, Ying and Huang, Hua},
     journal = {IEEE Transactions on Intelligent Transportation Systems},
     volume = {21},
     number = {7},
     pages = {2918-2929},
     year = {2019},
     publisher = {IEEE},
   }

2. HyperReconNet: Joint Coded Aperture Optimization and Image Reconstruction for Compressive Hyperspectral Imaging

   Lizhi Wang, Tao Zhang,  Ying Fu , and Hua Huang

   IEEE Transactions on Image Processing, vol.28, no.5, pp.2257-2270, 2019

   Bib PDF DOWNLOAD Code

   @article{wang2019hyperreconnet,
     title = {HyperReconNet: Joint Coded Aperture Optimization and Image Reconstruction for Compressive Hyperspectral Imaging},
     author = {Wang, Lizhi and Zhang, Tao and Fu, Ying and Huang, Hua},
     journal = {IEEE Transactions on Image Processing},
     volume = {28},
     number = {5},
     pages = {2257-2270},
     year = {2019},
   }

3. An effective network with ConvLSTM for low-light image enhancement

   Yixi Xiang,  Ying Fu , Lei Zhang, and Hua Huang

   In Chinese Conference on Pattern Recognition and Computer Vision (PRCV), pp.221-233, 2019

   Bib PDF

   @inproceedings{xiang2019effective,
     title = {An effective network with ConvLSTM for low-light image enhancement},
     author = {Xiang, Yixi and Fu, Ying and Zhang, Lei and Huang, Hua},
     booktitle = {Chinese Conference on Pattern Recognition and Computer Vision (PRCV)},
     pages = {221-233},
     year = {2019},
     organization = {Springer},
   }

4. Spectral reflectance recovery using optimal illuminations

   Ying Fu , Yunhao Zou, Yinqiang Zheng, and Hua Huang

   Optics Express, vol.27, no.21, pp.30502-30516, 2019

   Bib PDF DOWNLOAD

   @article{fu2019spectral,
     title = {Spectral reflectance recovery using optimal illuminations},
     author = {Fu, Ying and Zou, Yunhao and Zheng, Yinqiang and Huang, Hua},
     journal = {Optics Express},
     volume = {27},
     number = {21},
     pages = {30502-30516},
     year = {2019},
     publisher = {Optical Society of America},
   }

5. Low-rank Bayesian tensor factorization for hyperspectral image denoising

   Kaixuan Wei, and  Ying Fu

   Neurocomputing, vol.331, pp.412-423, 2019

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   @article{wei2019low,
     title = {Low-rank Bayesian tensor factorization for hyperspectral image denoising},
     author = {Wei, Kaixuan and Fu, Ying},
     journal = {Neurocomputing},
     volume = {331},
     pages = {412-423},
     year = {2019},
     publisher = {Elsevier},
   }

6. Global relative position space based pooling for fine-grained vehicle recognition

   Ye Xiang,  Ying Fu , and Hua Huang

   Neurocomputing, vol.367, pp.287-298, 2019

   Bib PDF DOWNLOAD

   @article{xiang2019globam,
     title = {Global relative position space based pooling for fine-grained vehicle recognition},
     author = {Xiang, Ye and Fu, Ying and Huang, Hua},
     journal = {Neurocomputing},
     volume = {367},
     pages = {287-298},
     year = {2019},
     publisher = {Elsevier},
   }

7. Image restoration from patch-based compressed sensing measurement

   Hua Huang, Guangtao Nie, Yinqiang Zheng, and  Ying Fu

   Neurocomputing, vol.340, pp.145-157, 2019

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   @article{huang2019image,
     title = {Image restoration from patch-based compressed sensing measurement},
     author = {Huang, Hua and Nie, Guangtao and Zheng, Yinqiang and Fu, Ying},
     journal = {Neurocomputing},
     volume = {340},
     pages = {145-157},
     year = {2019},
     publisher = {Elsevier},
   }

8. Computational hyperspectral imaging based on dimension-discriminative low-rank tensor recovery

   Shipeng Zhang, Lizhi Wang,  Ying Fu , Xiaoming Zhong, and Hua Huang

   In Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.10183-10192, 2019

   Bib PDF

   @inproceedings{zhang2019computational,
     title = {Computational hyperspectral imaging based on dimension-discriminative low-rank tensor recovery},
     author = {Zhang, Shipeng and Wang, Lizhi and Fu, Ying and Zhong, Xiaoming and Huang, Hua},
     booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
     pages = {10183-10192},
     year = {2019},
   }

9. Incremental learning using conditional adversarial networks

   Ye Xiang,  Ying Fu , Pan Ji, and Hua Huang

   In Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.6619-6628, 2019

   Bib PDF

   @inproceedings{xiang2019incremental,
     title = {Incremental learning using conditional adversarial networks},
     author = {Xiang, Ye and Fu, Ying and Ji, Pan and Huang, Hua},
     booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
     pages = {6619-6628},
     year = {2019},
   }

10. Hyperspectral image reconstruction using deep external and internal learning

    Tao Zhang,  Ying Fu , Lizhi Wang, and Hua Huang

    In Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.8559-8568, 2019

    Bib PDF

    @inproceedings{zhang2019hyperspectral,
      title = {Hyperspectral image reconstruction using deep external and internal learning},
      author = {Zhang, Tao and Fu, Ying and Wang, Lizhi and Huang, Hua},
      booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
      pages = {8559-8568},
      year = {2019},
    }

11. Hyperspectral image reconstruction using a deep spatial-spectral prior

    Lizhi Wang, Chen Sun,  Ying Fu , Min H Kim, and Hua Huang

    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.8032-8041, 2019

    Bib PDF Code

    @inproceedings{wang2019hyperspectral,
      title = {Hyperspectral image reconstruction using a deep spatial-spectral prior},
      author = {Wang, Lizhi and Sun, Chen and Fu, Ying and Kim, Min H and Huang, Hua},
      booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
      pages = {8032-8041},
      year = {2019},
    }

12. Hyperspectral image super-resolution with optimized RGB guidance

    Ying Fu , Tao Zhang, Yinqiang Zheng, Debing Zhang, and Hua Huang

    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.11661-11670, 2019

    Bib PDF Code

    @inproceedings{fu2019hyperspectral,
      title = {Hyperspectral image super-resolution with optimized RGB guidance},
      author = {Fu, Ying and Zhang, Tao and Zheng, Yinqiang and Zhang, Debing and Huang, Hua},
      booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
      pages = {11661-11670},
      year = {2019},
    }

13. Single image reflection removal exploiting misaligned training data and network enhancements

    Kaixuan Wei, Jiaolong Yang,  Ying Fu , David Wipf, and Hua Huang

    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.8178-8187, 2019

    Bib PDF Code

    @inproceedings{wei2019single,
      title = {Single image reflection removal exploiting misaligned training data and network enhancements},
      author = {Wei, Kaixuan and Yang, Jiaolong and Fu, Ying and Wipf, David and Huang, Hua},
      booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
      pages = {8178-8187},
      year = {2019},
    }

2018

1. Hyperspectral image super-resolution with a mosaic RGB image

   Ying Fu , Yinqiang Zheng, Hua Huang, Imari Sato, and Yoichi Sato

   IEEE Transactions on Image Processing, vol.27, no.11, pp.5539-5552, 2018

   Bib PDF DOWNLOAD

   @article{fu2018hyperspectral,
     title = {Hyperspectral image super-resolution with a mosaic RGB image},
     author = {Fu, Ying and Zheng, Yinqiang and Huang, Hua and Sato, Imari and Sato, Yoichi},
     journal = {IEEE Transactions on Image Processing},
     volume = {27},
     number = {11},
     pages = {5539-5552},
     year = {2018},
     publisher = {IEEE},
   }

2. Fast parallel implementation of dual-camera compressive hyperspectral imaging system

   Shipeng Zhang, Hua Huang, and  Ying Fu

   IEEE Transactions on Circuits and Systems for Video Technology, vol.29, no.11, pp.3404-3414, 2018

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   @article{zhang2018fast,
     title = {Fast parallel implementation of dual-camera compressive hyperspectral imaging system},
     author = {Zhang, Shipeng and Huang, Hua and Fu, Ying},
     journal = {IEEE Transactions on Circuits and Systems for Video Technology},
     volume = {29},
     number = {11},
     pages = {3404-3414},
     year = {2018},
     publisher = {IEEE},
   }

3. Spectral reflectance recovery from a single RGB image

   Ying Fu , Yongrong Zheng, Lin Zhang, and Hua Huang

   IEEE Transactions on Computational Imaging, vol.4, no.3, pp.382-394, 2018

   Bib PDF DOWNLOAD

   @article{fu2018spectral,
     title = {Spectral reflectance recovery from a single RGB image},
     author = {Fu, Ying and Zheng, Yongrong and Zhang, Lin and Huang, Hua},
     journal = {IEEE Transactions on Computational Imaging},
     volume = {4},
     number = {3},
     pages = {382-394},
     year = {2018},
     publisher = {IEEE},
   }

4. Gpu assisted towards real-time reconstruction for dual-camera compressive hyperspectral imaging

   Shipeng Zhang, Lizhi Wang,  Ying Fu , and Hua Huang

   In Pacific Rim Conference on Multimedia, pp.711-720, 2018

   Bib PDF

   @inproceedings{zhang2018gpu,
     title = {Gpu assisted towards real-time reconstruction for dual-camera compressive hyperspectral imaging},
     author = {Zhang, Shipeng and Wang, Lizhi and Fu, Ying and Huang, Hua},
     booktitle = {Pacific Rim Conference on Multimedia},
     pages = {711-720},
     year = {2018},
     organization = {Springer},
   }

5. Snapshot Multiplexed Imaging Based on Compressive Sensing

   Ying Fu , Chen Sun, Lizhi Wang, and Hua Huang

   In Pacific Rim Conference on Multimedia, pp.465-475, 2018

   Bib PDF

   @inproceedings{fu2018snapshot,
     title = {Snapshot Multiplexed Imaging Based on Compressive Sensing},
     author = {Fu, Ying and Sun, Chen and Wang, Lizhi and Huang, Hua},
     booktitle = {Pacific Rim Conference on Multimedia},
     pages = {465-475},
     year = {2018},
     organization = {Springer},
   }

6. Hyperspectral image super-resolution under misaligned hybrid camera system

   Yonggang Lin, Yongrong Zheng,  Ying Fu , and Hua Huang

   IET Image Processing, vol.12, no.10, pp.1824-1831, 2018

   Bib PDF DOWNLOAD

   @article{lin2018hyperspectral,
     title = {Hyperspectral image super-resolution under misaligned hybrid camera system},
     author = {Lin, Yonggang and Zheng, Yongrong and Fu, Ying and Huang, Hua},
     journal = {IET Image Processing},
     volume = {12},
     number = {10},
     pages = {1824-1831},
     year = {2018},
     publisher = {IET},
   }

7. Joint camera spectral sensitivity selection and hyperspectral image recovery

   Ying Fu , Tao Zhang, Yinqiang Zheng, Debing Zhang, and Hua Huang

   In Proceedings of the European Conference on Computer Vision, pp.788-804, 2018

   Bib PDF

   @inproceedings{fu2018joint,
     title = {Joint camera spectral sensitivity selection and hyperspectral image recovery},
     author = {Fu, Ying and Zhang, Tao and Zheng, Yinqiang and Zhang, Debing and Huang, Hua},
     booktitle = {Proceedings of the European Conference on Computer Vision},
     pages = {788-804},
     year = {2018},
   }

2017

1. Camera spectral sensitivity, illumination and spectral reflectance estimation for a hybrid hyperspectral image capture system

   Lin Zhang,  Ying Fu , Yinqiang Zheng, and Hua Huang

   In 2017 IEEE International Conference on Image Processing (ICIP), pp.545-549, 2017

   Bib PDF

   @inproceedings{zhang2017camera,
     title = {Camera spectral sensitivity, illumination and spectral reflectance estimation for a hybrid hyperspectral image capture system},
     author = {Zhang, Lin and Fu, Ying and Zheng, Yinqiang and Huang, Hua},
     booktitle = {2017 IEEE International Conference on Image Processing (ICIP)},
     pages = {545-549},
     year = {2017},
     organization = {IEEE},
   }

2016

1. Separating Reflective and Fluorescent Components Using High Frequency Illumination in the Spectral Domain

   Y. Fu , A. Lam, I. Sato, T. Okabe, and Y. Sato

   IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.38, no.5, pp.965-978, 2016

   Bib PDF DOWNLOAD

   @article{fu2016separating,
     author = {{Fu}, Y. and {Lam}, A. and {Sato}, I. and {Okabe}, T. and {Sato}, Y.},
     journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
     title = {Separating Reflective and Fluorescent Components Using High Frequency Illumination in the Spectral Domain},
     year = {2016},
     volume = {38},
     number = {5},
     pages = {965-978},
   }

2. Reflectance and Fluorescence Spectral Recovery via Actively Lit RGB Images

   Y. Fu , A. Lam, I. Sato, T. Okabe, and Y. Sato

   IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.38, no.7, pp.1313-1326, 2016

   Bib PDF DOWNLOAD

   @article{fu2016reflectance,
     author = {{Fu}, Y. and {Lam}, A. and {Sato}, I. and {Okabe}, T. and {Sato}, Y.},
     journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
     title = {Reflectance and Fluorescence Spectral Recovery via Actively Lit RGB Images},
     year = {2016},
     volume = {38},
     number = {7},
     pages = {1313-1326},
   }

3. Exploiting spectral-spatial correlation for coded hyperspectral image restoration

   Ying Fu , Yinqiang Zheng, Imari Sato, and Yoichi Sato

   In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.3727-3736, 2016

   Bib PDF

   @inproceedings{fu2016expoiting,
     title = {Exploiting spectral-spatial correlation for coded hyperspectral image restoration},
     author = {Fu, Ying and Zheng, Yinqiang and Sato, Imari and Sato, Yoichi},
     booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
     pages = {3727-3736},
     year = {2016},
   }

2015

1. Adaptive spatial-spectral dictionary learning for hyperspectral image denoising

   Ying Fu , Antony Lam, Imari Sato, and Yoichi Sato

   In Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.343-351, 2015

   Bib PDF

   @inproceedings{fu2015adaptive,
     title = {Adaptive spatial-spectral dictionary learning for hyperspectral image denoising},
     author = {Fu, Ying and Lam, Antony and Sato, Imari and Sato, Yoichi},
     booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
     pages = {343-351},
     year = {2015},
   }

2. Separating fluorescent and reflective components by using a single hyperspectral image

   Yinqiang Zheng,  Ying Fu , Antony Lam, Imari Sato, and Yoichi Sato

   In Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.3523-3531, 2015

   Bib PDF

   @inproceedings{fu2015separating,
     title = {Separating fluorescent and reflective components by using a single hyperspectral image},
     author = {Zheng, Yinqiang and Fu, Ying and Lam, Antony and Sato, Imari and Sato, Yoichi},
     booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
     pages = {3523-3531},
     year = {2015},
   }

3. Adaptive spatial-spectral dictionary learning for hyperspectral image denoising

   Ying Fu , Antony Lam, Imari Sato, and Yoichi Sato

   In Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.343-351, 2015

   Bib PDF

   @inproceedings{fu2015adaptivf,
     title = {Adaptive spatial-spectral dictionary learning for hyperspectral image denoising},
     author = {Fu, Ying and Lam, Antony and Sato, Imari and Sato, Yoichi},
     booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
     pages = {343-351},
     year = {2015},
   }

2014

1. Interreflection removal using fluorescence

   Ying Fu , Antony Lam, Yasuyuki Matsushita, Imari Sato, and Yoichi Sato

   In Proceedings of the European Conference on Computer Vision, pp.203-217, 2014

   Bib PDF

   @inproceedings{fu2014interreflection,
     title = {Interreflection removal using fluorescence},
     author = {Fu, Ying and Lam, Antony and Matsushita, Yasuyuki and Sato, Imari and Sato, Yoichi},
     booktitle = {Proceedings of the European Conference on Computer Vision},
     pages = {203-217},
     year = {2014},
     organization = {Springer},
   }

2. Reflectance and fluorescent spectra recovery based on fluorescent chromaticity invariance under varying illumination

   Ying Fu , Antony Lam, Yasuyuki Kobashi, Imari Sato, Takahiro Okabe, and Yoichi Sato

   In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.2163-2170, 2014

   Oral Bib PDF

   @inproceedings{fu2014reflectance,
     title = {Reflectance and fluorescent spectra recovery based on fluorescent chromaticity invariance under varying illumination},
     author = {Fu, Ying and Lam, Antony and Kobashi, Yasuyuki and Sato, Imari and Okabe, Takahiro and Sato, Yoichi},
     booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
     pages = {2163-2170},
     year = {2014},
   }

2013

1. Separating reflective and fluorescent components using high frequency illumination in the spectral domain

   Ying Fu , Antony Lam, Imari Sato, Takahiro Okabe, and Yoichi Sato

   In Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.457-464, 2013

   Bib PDF

   @inproceedings{fu2013separating,
     title = {Separating reflective and fluorescent components using high frequency illumination in the spectral domain},
     author = {Fu, Ying and Lam, Antony and Sato, Imari and Okabe, Takahiro and Sato, Yoichi},
     booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
     pages = {457-464},
     year = {2013},
   }

2011

1. Dynamic shape capture via periodical-illumination optical flow estimation and multi-view photometric stereo

   Ying Fu , Yebin Liu, and Qionghai Dai

   In 2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission, pp.17-24, 2011

   Oral Bib PDF

   @inproceedings{fu2013dynamic,
     title = {Dynamic shape capture via periodical-illumination optical flow estimation and multi-view photometric stereo},
     author = {Fu, Ying and Liu, Yebin and Dai, Qionghai},
     booktitle = {2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission},
     pages = {17-24},
     year = {2011},
     organization = {IEEE},
   }