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A Novel Framework for Nonlocal Vectorial Total Variation Based on $\ell^{p,q,r}$−norms (bibtex)
A Novel Framework for Nonlocal Vectorial Total Variation Based on $\ell^{p,q,r}$−norms (bibtex)
by J. Duran, M. Moeller, C. Sbert and D. Cremers
Reference:
A Novel Framework for Nonlocal Vectorial Total Variation Based on $\ell^{p,q,r}$−norms (J. Duran, M. Moeller, C. Sbert and D. Cremers), In Proceedings of the 10th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, Springer International Publishing, 2015. 
Bibtex Entry:
@inproceedings{Publ2015-866,
 author = {J. Duran and M. Moeller and C. Sbert and D. Cremers},
 title = {A Novel Framework for Nonlocal Vectorial Total Variation Based on $\ell^{p,q,r}${\^a}ˆ’norms},
 booktitle = {Proceedings of the 10th International Conference on  Energy Minimization Methods in Computer Vision and Pattern Recognition},
 year = {2015},
 pages = {141-154},
 publisher = {Springer International Publishing},
}
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Informatik IX
Chair of Computer Vision & Artificial Intelligence

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

Follow us on:
CVG Group DVL Group SRL Group