Anurag Das (PhD Student)

MSc Anurag Das

Address: Max-Planck-Institut für Informatik
Saarland Informatics Campus
Campus E1 4
66123 Saarbrücken
Location: E1 4 - 621
Phone: +49 681 9325 2134
Fax: +49 681 9325 2099
E-mail: Get email via email

Personal Information

Personal website : https://anurag-198.github.io/

My research interests in general lies in learning with limited labels for vision tasks. I am looking for potential hiwi/master thesis students to work on related areas such as domain adaptation, few-shot, open world setting etc for semantic segmentation task. Please reach out to me if you are interested in a collaboration.

Publications

2023

Conference paper

D2

A. Das, Y. Xian, D. Dai, and B. Schiele

“Weakly-Supervised Domain Adaptive Semantic Segmentation With Prototypical Contrastive Learning,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), Vancouver, Canada, 2023.

more

BibTeX

@inproceedings{Das_CVPR23,
TITLE = {Weakly-Supervised Domain Adaptive Semantic Segmentation With Prototypical Contrastive Learning},
AUTHOR = {Das, Anurag and Xian, Yongqin and Dai, Dengxin and Schiele, Bernt},
LANGUAGE = {eng},
ISBN = {979-8-3503-0129-8},
DOI = {10.1109/CVPR52729.2023.01481},
PUBLISHER = {IEEE},
YEAR = {2023},
MARGINALMARK = {$\bullet$},
DATE = {2023},
BOOKTITLE = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023)},
PAGES = {15434--15443},
ADDRESS = {Vancouver, Canada},
}

Endnote

%0 Conference Proceedings
%A Das, Anurag
%A Xian, Yongqin
%A Dai, Dengxin
%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
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
%T Weakly-Supervised Domain Adaptive Semantic Segmentation With Prototypical Contrastive Learning : 
%G eng
%U http://hdl.handle.net/21.11116/0000-000D-1F74-F
%R 10.1109/CVPR52729.2023.01481
%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 15434 - 15443
%I IEEE
%@ 979-8-3503-0129-8

Conference paper

D2

A. Das, Y. Xian, Y. He, Z. Akata, and B. Schiele

“Urban Scene Semantic Segmentation With Low-Cost Coarse Annotation,” in 2023 IEEE Winter Conference on Applications of Computer Vision (WACV 2023), Waikoloa Village, HI, USA, 2023.

more

BibTeX

@inproceedings{Das_WACV23,
TITLE = {Urban Scene Semantic Segmentation With Low-Cost Coarse Annotation},
AUTHOR = {Das, Anurag and Xian, Yongqin and He, Yang and Akata, Zeynep and Schiele, Bernt},
LANGUAGE = {eng},
ISBN = {978-1-6654-9346-8},
DOI = {10.1109/WACV56688.2023.00592},
PUBLISHER = {IEEE},
YEAR = {2023},
MARGINALMARK = {$\bullet$},
BOOKTITLE = {2023 IEEE Winter Conference on Applications of Computer Vision (WACV 2023)},
PAGES = {5967--5976},
ADDRESS = {Waikoloa Village, HI, USA},
}

Endnote

%0 Conference Proceedings
%A Das, Anurag
%A Xian, Yongqin
%A He, Yang
%A Akata, Zeynep
%A Schiele, Bernt
%+ Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
External Organizations
External Organizations
External Organizations
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
%T Urban Scene Semantic Segmentation With Low-Cost Coarse Annotation  : 
%G eng
%U http://hdl.handle.net/21.11116/0000-000C-6D3C-8
%R 10.1109/WACV56688.2023.00592
%D 2023
%B IEEE Winter Conference on Applications of Computer Vision
%Z date of event: 2023-01-03 - 2023-01-07
%C Waikoloa Village, HI, USA
%B 2023 IEEE Winter Conference on Applications of Computer Vision
%P 5967 - 5976
%I IEEE
%@ 978-1-6654-9346-8

2021

Conference paper

D2

A. Das, Y. Xian, Y. He, B. Schiele, and Z. Akata

“(SP)2Net for Generalized Zero-Label Semantic Segmentation,” in Pattern Recognition (GCPR 2021), Bonn, Germany, 2022.

more

BibTeX

@inproceedings{Das_GCPR2021,
TITLE = {{SP$^2$Net} for Generalized Zero-Label Semantic Segmentation},
AUTHOR = {Das, Anurag and Xian, Yongqin and He, Yang and Schiele, Bernt and Akata, Zeynep},
LANGUAGE = {eng},
ISBN = {978-3-030-92659-5; 978-3-030-92658-8},
DOI = {10.1007/978-3-030-92659-5_15},
PUBLISHER = {Springer},
YEAR = {2021},
MARGINALMARK = {$\bullet$},
BOOKTITLE = {Pattern Recognition (GCPR 2021)},
EDITOR = {Bauckhage, Christian and Gall, J{\"u}rgen and Schwing, Alexander},
PAGES = {235--249},
SERIES = {Lecture Notes in Computer Science},
VOLUME = {13024},
ADDRESS = {Bonn, Germany},
}

Endnote

%0 Conference Proceedings
%A Das, Anurag
%A Xian, Yongqin
%A He, Yang
%A Schiele, Bernt
%A Akata, Zeynep
%+ Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
External Organizations
External Organizations
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
External Organizations
%T (SP)2Net for Generalized Zero-Label Semantic Segmentation : 
%G eng
%U http://hdl.handle.net/21.11116/0000-000A-6FA0-5
%R 10.1007/978-3-030-92659-5_15
%D 2022
%B 43rd German Conference on Pattern Recognition
%Z date of event: 2021-09-28 - 2021-10-01
%C Bonn, Germany
%B Pattern Recognition
%E Bauckhage, Christian; Gall, J&#252;rgen; Schwing, Alexander
%P 235 - 249
%I Springer
%@ 978-3-030-92659-5 978-3-030-92658-8
%B Lecture Notes in Computer Science
%N 13024
%U https://rdcu.be/cNoit

Thesis

D2

A. Das

“(SP)2Net for Generalized Zero-Label Semantic Segmentation,” Universität des Saarlandes, Saarbrücken, 2021.

more

BibTeX

@mastersthesis{Das_Master21,
TITLE = {{SP$^2$Net} for Generalized Zero-Label Semantic Segmentation},
AUTHOR = {Das, Anurag},
LANGUAGE = {eng},
SCHOOL = {Universit{\"a}t des Saarlandes},
ADDRESS = {Saarbr{\"u}cken},
YEAR = {2021},
MARGINALMARK = {$\bullet$},
DATE = {2021},
}

Endnote

%0 Thesis
%A Das, Anurag
%Y Schiele, Bernt
%Y Xian, Yongqin
%Y He, Yang
%+ 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
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
%T (SP)2Net for Generalized Zero-Label Semantic Segmentation : 
%G eng
%U http://hdl.handle.net/21.11116/0000-000A-A76F-E
%I Universit&#228;t des Saarlandes
%C Saarbr&#252;cken
%D 2021
%P 63 p.
%V master
%9 master