Sukrut Rao (PhD Student)

Sukrut Sridhar Rao

Address: Max-Planck-Institut für Informatik
Saarland Informatics Campus
Campus E1 4
66123 Saarbrücken
Standort: E1 4 - 616
Telefon: +49 681 9325 2146
Fax: +49 681 9325 2099
E-mail: Get email via email

Personal Information

Web Pages: Personal, MPI
Publication Profiles: Google Scholar, DBLP, ORCiD
Social: LinkedIn, Twitter
Code: GitHub

Publications

2024

Conference paper

D2

A. Parchami-Araghi, M. Böhle, S. S. Rao, and B. Schiele

“Good Teachers Explain: Explanation-Enhanced Knowledge Distillation,” in Computer Vision -- ECCV 2024, Milano, Italy, 2024.

mehr

BibTeX

@inproceedings{ParchamiAraghiECCV24,
TITLE = {Good Teachers Explain: Explanation-Enhanced Knowledge Distillation},
AUTHOR = {Parchami-Araghi, Amin and B{\"o}hle, Moritz and Rao, Sukrut Sridhar and Schiele, Bernt},
LANGUAGE = {eng},
ISBN = {978-3-031-73464-9},
DOI = {10.1007/978-3-031-73464-9_18},
PUBLISHER = {Springer},
YEAR = {2024},
MARGINALMARK = {$\bullet$},
DATE = {2024},
BOOKTITLE = {Computer Vision -- ECCV 2024},
EDITOR = {Leonardis, Ale{\v s} and Ricci, Elisa and Roth, Stefan and Russakovsky, Olga and Sattler, Torsten and Varol, G{\"u}l},
PAGES = {293--310},
SERIES = {Lecture Notes in Computer Science},
VOLUME = {15131},
ADDRESS = {Milano, Italy},
}

Endnote

%0 Conference Proceedings
%A Parchami-Araghi, Amin
%A B&#246;hle, Moritz
%A Rao, Sukrut Sridhar
%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
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
%T Good Teachers Explain: Explanation-Enhanced Knowledge Distillation : 
%G eng
%U http://hdl.handle.net/21.11116/0000-000F-5534-7
%R 10.1007/978-3-031-73464-9_18
%D 2024
%B 18th European Conference on Computer Vision 
%Z date of event: 2024-09-29 - 2024-10-04
%C Milano, Italy
%B Computer Vision -- ECCV 2024 
%E Leonardis, Ale&#353;; Ricci, Elisa; Roth, Stefan; Russakovsky, Olga; Sattler, Torsten; Varol, G&#252;l
%P 293 - 310
%I Springer
%@ 978-3-031-73464-9
%B Lecture Notes in Computer Science
%N 15131

Article

D2

S. Rao, M. Boehle, and B. Schiele

“Better Understanding Differences in Attribution Methods via Systematic Evaluations,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 46, no. 6, 2024.

mehr

BibTeX

@article{RaoTPAMI24,
TITLE = {Better Understanding Differences in Attribution Methods via Systematic Evaluations},
AUTHOR = {Rao, Sukrut and Boehle, Moritz and Schiele, Bernt},
LANGUAGE = {eng},
DOI = {10.1109/TPAMI.2024.3353528},
PUBLISHER = {IEEE},
ADDRESS = {Piscataway, NJ},
YEAR = {2024},
MARGINALMARK = {$\bullet$},
DATE = {2024},
JOURNAL = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
VOLUME = {46},
NUMBER = {6},
PAGES = {4090--4101},
}

Endnote

%0 Journal Article
%A Rao, Sukrut
%A Boehle, Moritz
%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 Better Understanding Differences in Attribution Methods via Systematic Evaluations : 
%G eng
%U http://hdl.handle.net/21.11116/0000-000F-5532-9
%R 10.1109/TPAMI.2024.3353528
%7 2024
%D 2024
%J IEEE Transactions on Pattern Analysis and Machine Intelligence
%V 46
%N 6
%& 4090
%P 4090 - 4101
%I IEEE
%C Piscataway, NJ

2022

Conference paper

D4D2

S. Rao, M. Böhle, and B. Schiele

“Towards Better Understanding Attribution Methods,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, LA, USA, 2022.

mehr

BibTeX

@inproceedings{Rao_CVPR2022,
TITLE = {Towards Better Understanding Attribution Methods},
AUTHOR = {Rao, Sukrut and B{\"o}hle, Moritz and Schiele, Bernt},
LANGUAGE = {eng},
ISBN = {978-1-6654-6946-3},
DOI = {10.1109/CVPR52688.2022.00998},
PUBLISHER = {IEEE},
YEAR = {2022},
BOOKTITLE = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022)},
PAGES = {10213--10222},
ADDRESS = {New Orleans, LA, USA},
}

Endnote

%0 Conference Proceedings
%A Rao, Sukrut
%A B&#246;hle, Moritz
%A Schiele, Bernt
%+ Computer Graphics, 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 Towards Better Understanding Attribution Methods : 
%G eng
%U http://hdl.handle.net/21.11116/0000-000A-6F91-6
%R 10.1109/CVPR52688.2022.00998
%D 2022
%B 35th IEEE/CVF Conference on Computer Vision and Pattern Recognition
%Z date of event: 2022-06-19 - 2022-06-24
%C New Orleans, LA, USA
%B IEEE/CVF Conference on Computer Vision and Pattern Recognition
%P 10213 - 10222
%I IEEE
%@ 978-1-6654-6946-3

2020

Conference paper

D4D2

S. Rao, D. Stutz, and B. Schiele

“Adversarial Training Against Location-Optimized Adversarial Patches,” in Computer Vision -- ECCV Workshops 2020, Glasgow, UK, 2021.

mehr

BibTeX

@inproceedings{DBLP:conf/eccv/RaoSS20,
TITLE = {Adversarial Training Against Location-Optimized Adversarial Patches},
AUTHOR = {Rao, Sukrut and Stutz, David and Schiele, Bernt},
LANGUAGE = {eng},
ISBN = {978-3-030-68237-8},
DOI = {10.1007/978-3-030-68238-5_32},
PUBLISHER = {Springer},
YEAR = {2020},
DATE = {2021},
BOOKTITLE = {Computer Vision -- ECCV Workshops 2020},
EDITOR = {Bartoli, Adrian and Fusiello, Andrea},
PAGES = {429--448},
SERIES = {Lecture Notes in Computer Science},
VOLUME = {12539},
ADDRESS = {Glasgow, UK},
}

Endnote

%0 Conference Proceedings
%A Rao, Sukrut
%A Stutz, David
%A Schiele, Bernt
%+ Computer Graphics, 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 Adversarial Training Against Location-Optimized Adversarial Patches : 
%G eng
%U http://hdl.handle.net/21.11116/0000-0008-1662-1
%R 10.1007/978-3-030-68238-5_32
%D 2021
%B 16th European Conference on Computer Vision
%Z date of event: 2020-08-23 - 2020-08-28
%C Glasgow, UK
%B Computer Vision -- ECCV Workshops 2020 
%E Bartoli, Adrian; Fusiello, Andrea
%P 429 - 448
%I Springer
%@ 978-3-030-68237-8
%B Lecture Notes in Computer Science
%N 12539