Moritz Böhle (PhD Student)
MSc Moritz Daniel Böhle
- Adresse
- Max-Planck-Institut für Informatik
Saarland Informatics Campus
Campus E1 4
66123 Saarbrücken - Standort
- E1 4 - 622
- Telefon
- +49 681 9325 2022
- Fax
- +49 681 9325 2099
- Get email via email
Personal Information
Publications
Böhle, M. D., Fritz, M., & Schiele, B. (2021). Convolutional Dynamic Alignment Networks for Interpretable Classifications. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021). Virtual Conference: IEEE.
Export
BibTeX
@inproceedings{Boehle_CVPR21,
TITLE = {Convolutional Dynamic Alignment Networks for Interpretable Classifications},
AUTHOR = {B{\"o}hle, Moritz Daniel and Fritz, Mario and Schiele, Bernt},
LANGUAGE = {eng},
PUBLISHER = {IEEE},
YEAR = {2021},
MARGINALMARK = {$\bullet$},
BOOKTITLE = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021)},
ADDRESS = {Virtual Conference},
}
Endnote
%0 Conference Proceedings
%A Böhle, Moritz Daniel
%A Fritz, Mario
%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 Convolutional Dynamic Alignment Networks for Interpretable Classifications :
%G eng
%U http://hdl.handle.net/21.11116/0000-0008-1863-E
%D 2021
%B 34th IEEE Conference on Computer Vision and Pattern Recognition
%Z date of event: 2021-06-19 - 2021-06-25
%C Virtual Conference
%B IEEE/CVF Conference on Computer Vision and Pattern Recognition
%I IEEE