Yong Guo (Postdoc)

“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},
MARGINALMARK = {$\bullet$},
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