Amin Parchami Araghi (PhD student)

MSc Amin Parchami Araghi

Address: Max-Planck-Institut für Informatik
Saarland Informatics Campus
Campus E1 4
66123 Saarbrücken
Standort: E1 4 - 629
Telefon: +49 681 9325 2152
Fax: +49 681 9325 2099
E-mail: Get email via email

Personal Information

I have recently started working as a PhD student at D2. My current research revolves around finding ways to explain how deep networks function, while also looking for explicit design choices that can make them more interpretable.

Previously, I studied my Master's in Visual Computing at Saarland University, while working here at D2 as a Research Assistant (Hiwi) under supervision of Dr. Moritz Böhle and Sukrut Rao. Together we looked into how explanation methods (both post-hoc and model-inherent ones) can be leveraged to steer models' training. Over the span of two projects, we explored guiding models via explanations with human annotations or with explanations of a teacher model.

For further info, kindly refer to my Personal Webpage , Google Scholar, and Linkedin.

Publications

2024

Conference paper

D2

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

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

mehr

BibTeX

@inproceedings{ParchamiAraghiECCV24,
TITLE = {Good Teachers Explain: Explanation-Enhanced Knowledge Distillation},
AUTHOR = {Parchami-Araghi, Amin and Boehle, Moritz Daniel and Rao, Sukrut Sridhar and Schiele, Bernt},
LANGUAGE = {eng},
PUBLISHER = {Springer},
YEAR = {2024},
PUBLREMARK = {Accepted},
BOOKTITLE = {Computer Vision -- ECCV 2024},
SERIES = {Lecture Notes in Computer Science},
ADDRESS = {Milano, Italy},
}

Endnote

%0 Conference Proceedings
%A Parchami-Araghi, Amin
%A Boehle, Moritz Daniel
%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
%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 
%I Springer
%B Lecture Notes in Computer Science

Thesis

D2

M. A. Parchami Araghi

“A Good Teacher Explains: Explanation-enhanced Knowledge Distillation,” Universität des Saarlandes, Saarbrücken, 2024.

mehr

BibTeX

@mastersthesis{ParchamiAraghiMSc24,
TITLE = {A Good Teacher Explains: Explanation-enhanced Knowledge Distillation},
AUTHOR = {Parchami Araghi, Mohammad Amin},
LANGUAGE = {eng},
SCHOOL = {Universit{\"a}t des Saarlandes},
ADDRESS = {Saarbr{\"u}cken},
YEAR = {2024},
DATE = {2024},
}

Endnote

%0 Thesis
%A Parchami Araghi, Mohammad Amin
%Y Schiele, Bernt
%Y B&#246;hle, Moritz Daniel
%Y Rao, Sukrut Sridhar
%A referee: Lenssen, Jan Eric
%+ 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
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
%T A Good Teacher Explains: Explanation-enhanced Knowledge Distillation : 
%G eng
%U http://hdl.handle.net/21.11116/0000-000F-D70C-2
%I Universit&#228;t des Saarlandes
%C Saarbr&#252;cken
%D 2024
%P 69 p.
%V master
%9 master

2023

Conference paper

D2

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

“Studying How to Efficiently and Effectively Guide Models with Explanations,” in IEEE/CVF International Conference on Computer Vision (ICCV 2023), Paris, France, 2023.

mehr

BibTeX

@inproceedings{Rao_ICCV23,
TITLE = {Studying How to Efficiently and Effectively Guide Models with Explanations},
AUTHOR = {Rao, Sukrut and B{\"o}hle, Moritz and Parchami-Araghi, Amin and Schiele, Bernt},
LANGUAGE = {eng},
ISBN = {979-8-3503-0718-4},
DOI = {10.1109/ICCV51070.2023.00184},
PUBLISHER = {IEEE},
YEAR = {2023},
MARGINALMARK = {$\bullet$},
DATE = {2023},
BOOKTITLE = {IEEE/CVF International Conference on Computer Vision (ICCV 2023)},
PAGES = {1922--1933},
ADDRESS = {Paris, France},
}

Endnote

%0 Conference Proceedings
%A Rao, Sukrut
%A B&#246;hle, Moritz
%A Parchami-Araghi, Amin
%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 Studying How to Efficiently and Effectively Guide Models with Explanations : 
%G eng
%U http://hdl.handle.net/21.11116/0000-000D-CA7B-6
%R 10.1109/ICCV51070.2023.00184
%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 1922 - 1933
%I IEEE
%@ 979-8-3503-0718-4