Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Evgeny Levinkov"'
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence
Minimum cost lifted multicut problem is a generalization of the multicut problem and is a means to optimizing a decomposition of a graph w.r.t. both positive and negative edge costs. Its main advantage is that multicut-based formulations do not requi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb07c5ac03c4c1d389f4b765a1649a66
https://hdl.handle.net/21.11116/0000-0009-F784-B21.11116/0000-0009-FD72-A
https://hdl.handle.net/21.11116/0000-0009-F784-B21.11116/0000-0009-FD72-A
Autor:
Evgeny Levinkov, Bernt Schiele, Leonid Pishchulin, Mykhaylo Andriluka, Bjoern Andres, Siyu Tang, Eldar Insafutdinov
Publikováno v:
CVPR
In this paper we propose an approach for articulated tracking of multiple people in unconstrained videos. Our starting point is a model that resembles existing architectures for single-frame pose estimation but is substantially faster. We achieve thi
Autor:
Jonas Uhrig, Carsten Rother, Thomas Brox, Alexander Kirillov, Siyu Tang, Eldar Insafutdinov, Mohamed Omran, Bjoern Andres, Evgeny Levinkov, Bernt Schiele
Publikováno v:
CVPR
We state a combinatorial optimization problem whose feasible solutions define both a decomposition and a node labeling of a given graph. This problem offers a common mathematical abstraction of seemingly unrelated computer vision tasks, including ins
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319667089
GCPR
GCPR
This paper empirically compares four local search algorithms for correlation clustering by applying these to a variety of instances of the correlation clustering problem for the tasks of image segmentation, hand-written digit classification and socia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a623498e5b9e8157396b160e1d11eda4
https://doi.org/10.1007/978-3-319-66709-6_9
https://doi.org/10.1007/978-3-319-66709-6_9
Autor:
Guillaume Lavoué, Margret Keuper, Bjoern Andres, Nicolas Bonneel, Evgeny Levinkov, Thomas Brox
Publikováno v:
The IEEE International Conference on Computer Vision (ICCV)
The IEEE International Conference on Computer Vision (ICCV), Dec 2015, Santiago, Chile. 9 p
ICCV
The IEEE International Conference on Computer Vision (ICCV), Dec 2015, Santiago, Chile. 9 p
ICCV
International audience; Formulations of the Image Decomposition Problem as a Multicut Problem (MP) w.r.t. a superpixel graph have received considerable attention. In contrast, instances of the MP w.r.t. a pixel grid graph have received little attenti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b61d17802d17e9f3c2167172c0e9c943
https://hal.archives-ouvertes.fr/hal-01264120/document
https://hal.archives-ouvertes.fr/hal-01264120/document
Publikováno v:
CVPR
Lineage tracing, the tracking of living cells as they move and divide, is a central problem in biological image analysis. Solutions, called lineage forests, are key to understanding how the structure of multicellular organisms emerges. We propose an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92a01adfdac79d0539c33440717b1a0e
http://arxiv.org/abs/1511.05512
http://arxiv.org/abs/1511.05512
Autor:
Evgeny Levinkov
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319117515
GCPR
GCPR
Semantic road labeling is a key component of systems that aim at assisted or even autonomous driving. Considering that such systems continuously operate in the real-world, unforeseen conditions not represented in any conceivable training procedure ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d6f0af47d8ec478fe77a24465eb3ffa
https://doi.org/10.1007/978-3-319-11752-2_64
https://doi.org/10.1007/978-3-319-11752-2_64
Autor:
Evgeny Levinkov, Mario Fritz
Publikováno v:
ICCV
Semantic road labeling is a key component of systems that aim at assisted or even autonomous driving. Considering that such systems continuously operate in the real-world, unforeseen conditions not represented in any conceivable training procedure ar