Ying Fu

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

Feb, 2025	Several papers are accepted by IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2025.
Feb, 2024	Several papers are accepted by IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2024.
Feb, 2024	One paper is accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS).
Jan, 2024	One paper is accepted by International Conference on Learning Representations (ICLR) 2024.
Dec, 2023	One paper is accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS).

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

CVPR

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

Bib PDF Code

@inproceedings{Li2025CVPR,
  title = {Noise Calibration and Spatial-Frequency Interactive Network for STEM Image Enhancement},
  author = {Li, Hesong and Wu, Ziqi and Shao, Ruiwen and Zhang, Tao and Fu, Ying},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year = {2025},
}

CVPR

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

Bib PDF Code

@inproceedings{Liang2025CVPR,
  title = {Distilling Monocular Foundation Model for Fine-grained Depth Completion},
  author = {Liang, Yingping and Hu, Yutao and Shao, Wenqi and Fu, Ying},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year = {2025},
}

CVPR

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

Bib PDF Code

@inproceedings{Chen2025CVPR,
  title = {Frequency Dynamic Convolution for Dense Image Prediction},
  author = {Chen, Linwei and Gu, Lin and Li, Liang and Yan, Chenggang and Fu, Ying},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year = {2025},
}

TPAMI

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},
}

TPAMI

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},
}

TPAMI

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},
}

TIP

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},
}

IJCV

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},
}

ECCV

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},
}

ICLR

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},
}

CVPR

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},
}

CVPR

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},
}

CVPR

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},
}

CVPR

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},
}

CVPR

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},
}

CVPR

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},
}

CJE

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},
}

TGRS

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},
}

TGRS

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},
}

TCSVT

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},
}

TOG

∇-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},
}

ACM MM

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},
}

ISPRS

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},
}

IJCV

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},
}

ICCV

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},
}

ICML

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},
}

CVPR

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},
}