Direkt zum Inhalt springen
Computer Vision Group
TUM Department of Informatics
Technical University of Munich

Technical University of Munich

Menu

Links


Sequential Convex Relaxation for Mutual-Information-Based Unsupervised Figure-Ground Segmentation (bibtex)
Sequential Convex Relaxation for Mutual-Information-Based Unsupervised Figure-Ground Segmentation (bibtex)
by Y. Kee, M. Souiai, D. Cremers and J. Kim
Reference:
Sequential Convex Relaxation for Mutual-Information-Based Unsupervised Figure-Ground Segmentation (Y. Kee, M. Souiai, D. Cremers and J. Kim), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014. 
Bibtex Entry:
@string{cvpr="IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"}
@inproceedings{kee-cvpr14,
 author = {Y. Kee and M. Souiai and D. Cremers and J. Kim},
 title = {Sequential Convex Relaxation for Mutual-Information-Based Unsupervised Figure-Ground Segmentation},
 booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
 year = {2014},
 titleurl = {kee-cvpr14.pdf},
 topic = {Image Segmentation, Convex Relaxation, Information Theory},
}
Powered by bibtexbrowser
Back to Publications

Rechte Seite

Informatik IX
Chair of Computer Vision & Artificial Intelligence

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

Follow us on:
CVG Group DVL Group

News

03.04.2022

In April 2022 Jürgen Sturm and Daniel Cremers were featured among the top 6 most influential scholars in robotics of the last decade.

31.03.2022

We have open PhD and postdoc positions! To apply, please use our application form.

08.03.2022

We have six papers accepted to CVPR 2022 in New Orleans!

31.01.2022

We have two papers accepted to ICRA 2022 - congrats to Lukas von Stumberg, Qing Cheng and Niclas Zeller!

05.12.2021
More