Yong Guo (Postdoc)

“Boosting Segment Anything Model to Generalize,” IEEE Transactions on Image Processing, vol. 35, 2026.

@article{Guo26,
TITLE = {Boosting Segment Anything Model to Generalize},
AUTHOR = {Guo, Guangqian and Chen, Pengfei and Guo, Yong and Chen, Huafeng and Zhang, Boqiang and Gao, Shan},
LANGUAGE = {eng},
ISSN = {1057-7149},
DOI = {10.1109/TIP.2026.3651951},
PUBLISHER = {IEEE},
ADDRESS = {Piscataway, NJ},
YEAR = {2026},
DATE = {2026},
JOURNAL = {IEEE Transactions on Image Processing},
VOLUME = {35},
PAGES = {1143--1157},
}

%0 Journal Article
%A Guo, Guangqian
%A Chen, Pengfei
%A Guo, Yong 
%A Chen, Huafeng
%A Zhang, Boqiang
%A Gao, Shan
%+ External Organizations
External Organizations
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
External Organizations
External Organizations
External Organizations
%T Boosting Segment Anything Model to Generalize : 
%G eng
%U http://hdl.handle.net/21.11116/0000-0012-B8B0-5
%R 10.1109/TIP.2026.3651951
%7 2026-01-15
%D 2026
%J IEEE Transactions on Image Processing
%V 35
%& 1143
%P 1143 - 1157
%I IEEE
%C Piscataway, NJ
%@ false

“Amplitude Exchanging Network for Unsupervised Underwater Image Enhancement,” Pattern Recognition, vol. 175, 2026.

@article{Zeng26,
TITLE = {Amplitude Exchanging Network for Unsupervised Underwater Image Enhancement},
AUTHOR = {Zeng, Runhao and Zhu, Xionglin and Peng, Wenfu and Cao, Jiezhang and Guo, Yong and Wang, Zhihua and Jiang, Qiuping},
LANGUAGE = {eng},
ISSN = {0031-3203},
DOI = {10.1016/j.patcog.2026.113119},
PUBLISHER = {Elsevier},
ADDRESS = {Amsterdam},
YEAR = {2026},
DATE = {2026},
JOURNAL = {Pattern Recognition},
VOLUME = {175},
EID = {113119},
}

%0 Journal Article
%A Zeng, Runhao
%A Zhu, Xionglin
%A Peng, Wenfu
%A Cao, Jiezhang
%A Guo, Yong
%A Wang, Zhihua
%A Jiang, Qiuping
%+ External Organizations
External Organizations
External Organizations
External Organizations
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
External Organizations
External Organizations
%T Amplitude Exchanging Network for Unsupervised Underwater Image Enhancement : 
%G eng
%U http://hdl.handle.net/21.11116/0000-0012-97D6-0
%R 10.1016/j.patcog.2026.113119
%7 2026-01-20
%D 2026
%J Pattern Recognition
%O Pattern Recognit.
%V 175
%Z sequence number: 113119
%I Elsevier
%C Amsterdam
%@ false

“MambaIRv2: Attentive State Space Restoration,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025), Nashville, TN, USA, 2025.

@inproceedings{GuoCVPR25,
TITLE = {{MambaIRv2}: {A}ttentive State Space Restoration},
AUTHOR = {Guo, Hang and Guo, Yong and Zha, Yaohua and Zhang, Yulun and Li, Wenbo and Dai, Tao},
LANGUAGE = {eng},
ISBN = {979-8-3315-4364-8},
DOI = {10.1109/CVPR52734.2025.02619},
PUBLISHER = {IEEE},
YEAR = {2025},
MARGINALMARK = {$\bullet$},
DATE = {2025},
BOOKTITLE = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025)},
PAGES = {28124--28133},
ADDRESS = {Nashville, TN, USA},
}

%0 Conference Proceedings
%A Guo, Hang
%A Guo, Yong
%A Zha, Yaohua
%A Zhang, Yulun
%A Li, Wenbo
%A Dai, Tao
%+ External Organizations
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
External Organizations
External Organizations
External Organizations
External Organizations
%T MambaIRv2: Attentive State Space Restoration : 
%G eng
%U http://hdl.handle.net/21.11116/0000-0012-97EF-5
%R 10.1109/CVPR52734.2025.02619
%D 2025
%B IEEE/CVF Conference on Computer Vision and Pattern Recognition
%Z date of event: 2025-06-11 - 2025-06-15
%C Nashville, TN, USA
%B IEEE/CVF Conference on Computer Vision and Pattern Recognition
%P 28124 - 28133
%I IEEE
%@ 979-8-3315-4364-8

“PassionSR: Post-Training Quantization with Adaptive Scale in One-Step Diffusion based Image Super-Resolution,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025), Nashville, TN, USA, 2025.

@inproceedings{ZhuCVPR25,
TITLE = {{PassionSR}: {P}ost-Training Quantization with Adaptive Scale in One-Step Diffusion based Image Super-Resolution},
AUTHOR = {Zhu, Libo and Li, Jianze and Qin, Haotong and Li, Wenbo and Zhang, Yulun and Guo, Yong},
LANGUAGE = {eng},
ISBN = {979-8-3315-4364-8},
DOI = {10.1109/CVPR52734.2025.01192},
PUBLISHER = {IEEE},
YEAR = {2025},
MARGINALMARK = {$\bullet$},
DATE = {2025},
BOOKTITLE = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025)},
PAGES = {12778--12788},
ADDRESS = {Nashville, TN, USA},
}

%0 Conference Proceedings
%A Zhu, Libo
%A Li, Jianze
%A Qin, Haotong
%A Li, Wenbo
%A Zhang, Yulun
%A Guo, Yong
%+ External Organizations
External Organizations
External Organizations
External Organizations
External Organizations
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
%T PassionSR: Post-Training Quantization with Adaptive Scale in One-Step Diffusion based Image Super-Resolution : 
%G eng
%U http://hdl.handle.net/21.11116/0000-0012-8E7E-0
%R 10.1109/CVPR52734.2025.01192
%D 2025
%B IEEE/CVF Conference on Computer Vision and Pattern Recognition
%Z date of event: 2025-06-11 - 2025-06-15
%C Nashville, TN, USA
%B IEEE/CVF Conference on Computer Vision and Pattern Recognition
%P 12778 - 12788
%I IEEE
%@ 979-8-3315-4364-8

“Automated Dominative Subspace Mining for Efficient Neural Architecture Search,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 34, no. 10, 2024.

@article{Chen2024c,
TITLE = {Automated Dominative Subspace Mining for Efficient Neural Architecture Search},
AUTHOR = {Chen, Yaofo and Guo, Yong and Liao, Daihai and Lv, Fanbing and Song, Hengjie and Kwok, James Tin-Yau},
LANGUAGE = {eng},
ISSN = {1051-8215},
DOI = {10.1109/TCSVT.2024.3395463},
PUBLISHER = {IEEE},
ADDRESS = {Piscataway, NJ},
YEAR = {2024},
MARGINALMARK = {$\bullet$},
DATE = {2024},
JOURNAL = {IEEE Transactions on Circuits and Systems for Video Technology},
VOLUME = {34},
NUMBER = {10},
PAGES = {9281--9297},
}

%0 Journal Article
%A Chen, Yaofo
%A Guo, Yong
%A Liao, Daihai
%A Lv, Fanbing
%A Song, Hengjie
%A Kwok, James Tin-Yau
%+ External Organizations
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
External Organizations
External Organizations
External Organizations
External Organizations
%T Automated Dominative Subspace Mining for Efficient Neural Architecture Search : 
%G eng
%U http://hdl.handle.net/21.11116/0000-0010-38C6-0
%R 10.1109/TCSVT.2024.3395463
%7 2024-04-30
%D 2024
%J IEEE Transactions on Circuits and Systems for Video Technology
%V 34
%N 10
%& 9281
%P 9281 - 9297
%I IEEE
%C Piscataway, NJ
%@ false

“Enhanced Long-Tailed Recognition With Contrastive CutMix Augmentation,” IEEE Transactions on Image Processing, vol. 33, 2024.

@article{Pan24,
TITLE = {Enhanced Long-Tailed Recognition With Contrastive {CutMix} Augmentation},
AUTHOR = {Pan, Haolin and Guo, Yong and Yu, Mianjie and Chen, Jian},
LANGUAGE = {eng},
ISSN = {1057-7149},
DOI = {10.1109/TIP.2024.3425148},
PUBLISHER = {IEEE},
ADDRESS = {Piscataway, NJ},
YEAR = {2024},
MARGINALMARK = {$\bullet$},
DATE = {2024},
JOURNAL = {IEEE Transactions on Image Processing},
VOLUME = {33},
PAGES = {4215--4230},
}

%0 Journal Article
%A Pan, Haolin
%A Guo, Yong
%A Yu, Mianjie
%A Chen, Jian
%+ External Organizations
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
External Organizations
External Organizations
%T Enhanced Long-Tailed Recognition With Contrastive CutMix Augmentation : 
%G eng
%U http://hdl.handle.net/21.11116/0000-000F-B367-3
%R 10.1109/TIP.2024.3425148
%7 2024
%D 2024
%J IEEE Transactions on Image Processing
%V 33
%& 4215
%P 4215 - 4230
%I IEEE
%C Piscataway, NJ
%@ false

“Improving Robustness of Vision Transformers by Reducing Sensitivity To Patch Corruptions,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), Vancouver, Canada, 2023.

@inproceedings{Guo_CVPR23,
TITLE = {Improving Robustness of Vision Transformers by Reducing Sensitivity To Patch Corruptions},
AUTHOR = {Guo, Yong and Stutz, David and Schiele, Bernt},
LANGUAGE = {eng},
ISBN = {979-8-3503-0129-8},
DOI = {10.1109/CVPR52729.2023.00400},
PUBLISHER = {IEEE},
YEAR = {2023},
MARGINALMARK = {$\bullet$},
BOOKTITLE = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023)},
PAGES = {4108--4118},
ADDRESS = {Vancouver, Canada},
}

%0 Conference Proceedings
%A Guo, Yong
%A Stutz, David
%A Schiele, Bernt
%+ Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
%T Improving Robustness of Vision Transformers by Reducing Sensitivity To Patch Corruptions : 
%G eng
%U http://hdl.handle.net/21.11116/0000-000D-1F5D-A
%R 10.1109/CVPR52729.2023.00400
%D 2023
%B 36th IEEE/CVF Conference on Computer Vision and Pattern Recognition
%Z date of event: 2023-06-18 - 2023-06-23
%C Vancouver, Canada
%B IEEE/CVF Conference on Computer Vision and Pattern Recognition
%P 4108 - 4118
%I IEEE
%@ 979-8-3503-0129-8

“Robustifying Token Attention for Vision Transformers,” in IEEE/CVF International Conference on Computer Vision (ICCV 2023), Paris, France, 2023.

@inproceedings{Guo_ICCV23,
TITLE = {Robustifying Token Attention for Vision Transformers},
AUTHOR = {Guo, Yong and Stutz, David and Schiele, Bernt},
LANGUAGE = {eng},
ISBN = {979-8-3503-0718-4},
DOI = {10.1109/ICCV51070.2023.01610},
PUBLISHER = {IEEE},
YEAR = {2023},
MARGINALMARK = {$\bullet$},
DATE = {2023},
BOOKTITLE = {IEEE/CVF International Conference on Computer Vision (ICCV 2023)},
PAGES = {17511--17522},
ADDRESS = {Paris, France},
}

%0 Conference Proceedings
%A Guo, Yong
%A Stutz, David
%A Schiele, Bernt
%+ Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
%T Robustifying Token Attention for Vision Transformers  : 
%G eng
%U http://hdl.handle.net/21.11116/0000-000D-F981-8
%R 10.1109/ICCV51070.2023.01610
%D 2023
%B IEEE/CVF International Conference on Computer Vision
%Z date of event: 2023-10-02 - 2023-10-06
%C Paris, France
%B IEEE/CVF International Conference on Computer Vision
%P 17511 - 17522
%I IEEE
%@ 979-8-3503-0718-4

“Improving Robustness by Enhancing Weak Subnets,” in Computer Vision -- ECCV 2022, Tel Aviv, Israel, 2022.

@inproceedings{Guo_ECCV2022,
TITLE = {Improving Robustness by Enhancing Weak Subnets},
AUTHOR = {Guo, Yong and Stutz, David and Schiele, Bernt},
LANGUAGE = {eng},
ISBN = {978-3-031-20052-6},
DOI = {10.1007/978-3-031-20053-3_19},
PUBLISHER = {Springer},
YEAR = {2022},
DATE = {2022},
BOOKTITLE = {Computer Vision -- ECCV 2022},
EDITOR = {Avidan, Shai and Brostow, Gabriel and Ciss{\'e}, Moustapha and Farinella, Giovanni and Hassner, Tal},
PAGES = {320--338},
SERIES = {Lecture Notes in Computer Science},
VOLUME = {13684},
ADDRESS = {Tel Aviv, Israel},
}

%0 Conference Proceedings
%A Guo, Yong
%A Stutz, David
%A Schiele, Bernt
%+ Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
%T Improving Robustness by Enhancing Weak Subnets : 
%G eng
%U http://hdl.handle.net/21.11116/0000-000B-01E4-2
%R 10.1007/978-3-031-20053-3_19
%D 2022
%B 17th European Conference on Computer Vision
%Z date of event: 2022-10-23 - 2022-10-27
%C Tel Aviv, Israel
%B Computer Vision -- ECCV 2022
%E Avidan, Shai; Brostow, Gabriel; Cissé, Moustapha; Farinella, Giovanni; Hassner, Tal
%P 320 - 338
%I Springer
%@ 978-3-031-20052-6
%B Lecture Notes in Computer Science
%N 13684
%U https://rdcu.be/c269w