Direkt zum Inhalt springen
Computer Vision Group
TUM School of Computation, Information and Technology
Technical University of Munich

Technical University of Munich

Menu

Links


Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems (bibtex)
Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems (bibtex)
by T. Meinhardt, M. Moeller, C. Hazirbas and D. Cremers
Reference:
Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems (T. Meinhardt, M. Moeller, C. Hazirbas and D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2017. ([arxiv], [code])
Bibtex Entry:
@string{iccv="IEEE International Conference on Computer Vision (ICCV)"}
@inproceedings{meinhardt17learning,
 author = {T. Meinhardt and M. Moeller and C. Hazirbas and D. Cremers},
 title = {Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems},
 month = {October},
 year = {2017},
 booktitle = {IEEE International Conference on Computer Vision (ICCV)},
 keywords = {deep learning},
}
Powered by bibtexbrowser
Back to

Rechte Seite

Informatik IX
Computer Vision Group

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:

News

02.03.2023

CVPR 2023

We have six papers accepted to CVPR 2023.

15.10.2022

NeurIPS 2022

We have two papers accepted to NeurIPS 2022.

15.10.2022

WACV 2023

We have two papers accepted at WACV 2023.

31.08.2022

Fulbright PULSE podcast on Prof. Cremers went online on Apple Podcasts and Spotify.

17.07.2022

MCML Kick-Off

On July 27th, we are organizing the Kick-Off of the Munich Center for Machine Learning in the Bavarian Academy of Sciences.

More