Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Olivier Duchenne"'
Autor:
Jihoon G Yoon, JoonNyung Heo, Minkyu Kim, Yu Jin Park, Min Hyuk Choi, Jaewoo Song, Kangsan Wyi, Hakbeen Kim, Olivier Duchenne, Soowon Eom, Yury Tsoy
Publikováno v:
PLoS ONE, Vol 13, Iss 5, p e0195861 (2018)
The major challenge in the diagnosis of disseminated intravascular coagulation (DIC) comes from the lack of specific biomarkers, leading to developing composite scoring systems. DIC scores are simple and rapidly applicable. However, optimal fibrin-re
Externí odkaz:
https://doaj.org/article/2c9fb58a46ca43a5b462ec63c30daca5
Autor:
Olivier Duchenne, Kangsan Wyi, Yury Tsoy, JoonNyung Heo, Jihoon G. Yoon, Jaewoo Song, Min Hyuk Choi, Hakbeen Kim, Min Kyu Kim, Yu Jin Park, Soowon Eom
Publikováno v:
PLoS ONE
PLoS ONE, Vol 13, Iss 5, p e0195861 (2018)
PLoS ONE, Vol 13, Iss 5, p e0195861 (2018)
The major challenge in the diagnosis of disseminated intravascular coagulation (DIC) comes from the lack of specific biomarkers, leading to developing composite scoring systems. DIC scores are simple and rapidly applicable. However, optimal fibrin-re
Finding Matches in a Haystack: A Max-Pooling Strategy for Graph Matching in the Presence of Outliers
Publikováno v:
CVPR-IEEE Conference on Computer Vision and Pattern Recognition
CVPR-IEEE Conference on Computer Vision and Pattern Recognition, Jun 2014, Columbus, Ohio, United States
CVPR
CVPR-IEEE Conference on Computer Vision and Pattern Recognition, Jun 2014, Columbus, Ohio, United States
CVPR
International audience; A major challenge in real-world feature matching problems is to tolerate the numerous outliers arising in typical visual tasks. Variations in object appearance, shape, and structure within the same object class make it harder
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57fd401076c22f5ef9c8b879bb4a9b2b
https://hal.inria.fr/hal-01053675
https://hal.inria.fr/hal-01053675
Publikováno v:
ICIP
In this paper, we propose a graph-based shape matching method for deformable objects. In our approach, a graph is generated from an over-segmented input image, and the shape matching problem is treated as finding an optimal cycle in the graph. Given
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2011, 33 (12), pp.2383-2395. ⟨10.1109/TPAMI.2011.110⟩
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 33 (12), pp.2383-2395. ⟨10.1109/TPAMI.2011.110⟩
CVPR
IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2011, 33 (12), pp.2383-2395. ⟨10.1109/TPAMI.2011.110⟩
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 33 (12), pp.2383-2395. ⟨10.1109/TPAMI.2011.110⟩
CVPR
International audience; This paper addresses the problem of establishing correspondences between two sets of visual features using higher-order constraints instead of the unary or pairwise ones used in classical methods. Concretely, the corresponding
Publikováno v:
Proceedings of the International Conference in Computer Vision (ICCV)
ICCV 2011-13th International Conference on Computer Vision
ICCV 2011-13th International Conference on Computer Vision, Nov 2011, Barcelona, Spain. pp.1056
ICCV
ICCV 2011-13th International Conference on Computer Vision
ICCV 2011-13th International Conference on Computer Vision, Nov 2011, Barcelona, Spain. pp.1056
ICCV
International audience; This paper addresses the problem of category-level image classification. The underlying image model is a graph whose nodes correspond to a dense set of regions, and edges reflect the underlying grid structure of the image and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c8dcbc19d5ab70a3ecc661837c9e667
https://hal.archives-ouvertes.fr/hal-00650345
https://hal.archives-ouvertes.fr/hal-00650345
Publikováno v:
ICCV
This paper addresses the problem of automatic temporal annotation of realistic human actions in video using minimal manual supervision. To this end we consider two associated problems: (a) weakly-supervised learning of action models from readily avai
Publikováno v:
ICRA
Shape is one of the useful information for object detection. The human visual system can often recognize objects based on the 2-D outline shape alone. In this paper, we address the challenging problem of shape matching in the presence of complex back
Publikováno v:
IEEE Conference on Computer Vision and Pattern Recognition
CVPR 2008-IEEE Conference on Computer Vision and Pattern Recognition
CVPR 2008-IEEE Conference on Computer Vision and Pattern Recognition, Jun 2008, Anchorage, United States. pp.1-8, ⟨10.1109/CVPR.2008.4587419⟩
CVPR
CVPR 2008-IEEE Conference on Computer Vision and Pattern Recognition
CVPR 2008-IEEE Conference on Computer Vision and Pattern Recognition, Jun 2008, Anchorage, United States. pp.1-8, ⟨10.1109/CVPR.2008.4587419⟩
CVPR
International audience; This paper addresses the problem of segmenting an image into regions consistent with user-supplied seeds (e.g., a sparse set of broad brush strokes). We view this task as a statistical transductive inference, in which some pix
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2700f7dde274594d68704a7796e7d773
https://hal-enpc.archives-ouvertes.fr/hal-00834989
https://hal-enpc.archives-ouvertes.fr/hal-00834989