Jiangxin Dong (Post-Doc)

“DWDN: Deep Wiener Deconvolution Network for Non-Blind Image Deblurring,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, no. 12, 2022.

@article{Dong22,
TITLE = {{DWDN}: {Deep Wiener Deconvolution Network} for Non-Blind Image Deblurring},
AUTHOR = {Dong, Jiangxin and Roth, Stefan and Schiele, Bernt},
LANGUAGE = {eng},
ISSN = {0162-8828},
DOI = {10.1109/TPAMI.2021.3138787},
PUBLISHER = {IEEE},
ADDRESS = {Piscataway, NJ},
YEAR = {2022},
MARGINALMARK = {$\bullet$},
JOURNAL = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
VOLUME = {44},
NUMBER = {12},
PAGES = {9960--9976},
}

%0 Journal Article
%A Dong, Jiangxin
%A Roth, Stefan
%A Schiele, Bernt
%+ Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
External Organizations
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
%T DWDN: Deep Wiener Deconvolution Network for Non-Blind Image Deblurring : 
%G eng
%U http://hdl.handle.net/21.11116/0000-000B-B5A7-C
%R 10.1109/TPAMI.2021.3138787
%7 2022
%D 2022
%J IEEE Transactions on Pattern Analysis and Machine Intelligence
%O IEEE Trans. Pattern Anal. Mach. Intell.
%V 44
%N 12
%& 9960
%P 9960 - 9976
%I IEEE
%C Piscataway, NJ
%@ false

“Learning Spatially-Variant MAP Models for Non-blind Image Deblurring,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Nashville, TN, USA (Virtual), 2021.

@inproceedings{Dong_CVPR21,
TITLE = {Learning Spatially-Variant {MAP} Models for Non-blind Image Deblurring},
AUTHOR = {Dong, Jiangxin and Roth, Stefan and Schiele, Bernt},
LANGUAGE = {eng},
ISBN = {978-1-6654-4509-2},
DOI = {10.1109/CVPR46437.2021.00485},
PUBLISHER = {IEEE},
YEAR = {2021},
MARGINALMARK = {$\bullet$},
BOOKTITLE = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021)},
PAGES = {4886--4895},
ADDRESS = {Nashville, TN, USA (Virtual)},
}

%0 Conference Proceedings
%A Dong, Jiangxin
%A Roth, Stefan
%A Schiele, Bernt
%+ Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
External Organizations
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
%T Learning Spatially-Variant MAP Models for Non-blind Image Deblurring : 
%G eng
%U http://hdl.handle.net/21.11116/0000-0008-157A-8
%R 10.1109/CVPR46437.2021.00485
%D 2021
%B 34th IEEE Conference on Computer Vision and Pattern Recognition
%Z date of event: 2021-06-19 - 2021-06-25
%C Nashville, TN, USA (Virtual)
%B IEEE/CVF Conference on Computer Vision and Pattern Recognition
%P 4886 - 4895
%I IEEE
%@ 978-1-6654-4509-2

“Deep Outlier Handling for Image Deblurring,” IEEE Transactions on Image Processing, vol. 30, 2021.

@article{Dong2021,
TITLE = {Deep Outlier Handling for Image Deblurring},
AUTHOR = {Dong, Jiangxin and Pan, Jinshan},
LANGUAGE = {eng},
ISSN = {1057-7149},
DOI = {10.1109/TIP.2020.3048679},
PUBLISHER = {IEEE},
ADDRESS = {Piscataway, NJ},
YEAR = {2021},
MARGINALMARK = {$\bullet$},
DATE = {2021},
JOURNAL = {IEEE Transactions on Image Processing},
VOLUME = {30},
PAGES = {1799--1811},
}

%0 Journal Article
%A Dong, Jiangxin
%A Pan, Jinshan
%+ Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
External Organizations
%T Deep Outlier Handling for Image Deblurring : 
%G eng
%U http://hdl.handle.net/21.11116/0000-0007-F078-3
%R 10.1109/TIP.2020.3048679
%7 2021
%D 2021
%J IEEE Transactions on Image Processing
%V 30
%& 1799
%P 1799 - 1811
%I IEEE
%C Piscataway, NJ
%@ false

“Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring,” in Advances in Neural Information Processing Systems 33 (NeurIPS 2020), Virtual Event, 2020.

@inproceedings{Dong_NeurIPS20,
TITLE = {Deep {Wiener} Deconvolution: {Wiener} Meets Deep Learning for Image Deblurring},
AUTHOR = {Dong, Jiangxin and Roth, Stefan and Schiele, Bernt},
LANGUAGE = {eng},
ISBN = {9781713829546},
PUBLISHER = {Curran Associates, Inc.},
YEAR = {2020},
BOOKTITLE = {Advances in Neural Information Processing Systems 33 (NeurIPS 2020)},
EDITOR = {Larochelle, H. and Ranzato, M. and Hadsell, R. and Balcan, M. F. and Lin, H.},
PAGES = {1048--1059},
ADDRESS = {Virtual Event},
}

%0 Conference Proceedings
%A Dong, Jiangxin
%A Roth, Stefan
%A Schiele, Bernt
%+ Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
External Organizations
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
%T Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring : 
%G eng
%U http://hdl.handle.net/21.11116/0000-0007-A813-6
%D 2020
%B 34th Conference on Neural Information Processing Systems
%Z date of event: 2020-12-06 - 2020-12-12
%C Virtual Event
%B Advances in Neural Information Processing Systems 33
%E Larochelle, H.; Ranzato, M.; Hadsell, R.; Balcan, M. F.; Lin, H.
%P 1048 - 1059
%I Curran Associates, Inc.
%@ 9781713829546
%U https://papers.nips.cc/paper/2020/file/0b8aff0438617c055eb55f0ba5d226fa-Paper.pdf