Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Olivier Teboul"'
Autor:
Quentin Spinat, Bastien Caba, Despoina Ioannidou, Arie Gafson, Olivier Teboul, Xiaotong Jiang, Vincent Lepetit, Douglas Arnold, Refaat Gabr, Enrica Cavedo, Colm Elliott, Nikos Paragios, Shibeshih Belachew
Publikováno v:
Wednesday, April 26.
Publikováno v:
Nature methods.
Protein sequence alignment is a key component of most bioinformatics pipelines to study the structures and functions of proteins. Aligning highly divergent sequences remains, however, a difficult task that current algorithms often fail to perform acc
Self-supervised pre-training using so-called "pretext" tasks has recently shown impressive performance across a wide range of modalities. In this work, we advance self-supervised learning from permutations, by pre-training a model to reorder shuffled
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8298cbfad3acfded0c47287643ada4a8
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013, 35 (7), pp.1744-1756. ⟨10.1109/TPAMI.2012.252⟩
IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2013, 35 (7), pp.1744-1756. ⟨10.1109/TPAMI.2012.252⟩
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013, 35 (7), pp.1744-1756. ⟨10.1109/TPAMI.2012.252⟩
IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2013, 35 (7), pp.1744-1756. ⟨10.1109/TPAMI.2012.252⟩
International audience; In this paper, we use shape grammars (SGs) for facade parsing, which amounts to segmenting 2D building facades into balconies, walls, windows, and doors in an architecturally meaningful manner. The main thrust of our work is t
Publikováno v:
CVPR '12 Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
25th IEEE Conference on Computer Vision and Pattern Recognition-CVPR 2012
25th IEEE Conference on Computer Vision and Pattern Recognition-CVPR 2012, Jun 2012, Rhode Island, United States. pp.518-525, ⟨10.1109/CVPR.2012.6247716⟩
CVPR
25th IEEE Conference on Computer Vision and Pattern Recognition-CVPR 2012
25th IEEE Conference on Computer Vision and Pattern Recognition-CVPR 2012, Jun 2012, Rhode Island, United States. pp.518-525, ⟨10.1109/CVPR.2012.6247716⟩
CVPR
International audience; In this paper we address multi-view reconstruction of urban environments using 3D shape grammars. Our formulation expresses the solution to the problem as a shape grammar parse tree where both the tree and the corresponding de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::deaabaa8d90c4863ad2209200c5c0f21
https://hal.science/hal-00856289
https://hal.science/hal-00856289
Publikováno v:
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
24th IEEE Conference on Computer Vision and Pattern Recognition-CVPR 2011
24th IEEE Conference on Computer Vision and Pattern Recognition-CVPR 2011, Jun 2011, Colorado Springs, United States. pp.2273-2280, ⟨10.1109/CVPR.2011.5995319⟩
CVPR
24th IEEE Conference on Computer Vision and Pattern Recognition-CVPR 2011
24th IEEE Conference on Computer Vision and Pattern Recognition-CVPR 2011, Jun 2011, Colorado Springs, United States. pp.2273-2280, ⟨10.1109/CVPR.2011.5995319⟩
CVPR
International audience; We address shape grammar parsing for facade segmentation using Reinforcement Learning (RL). Shape parsing entails simultaneously optimizing the geometry and the topology (e.g. number of floors) of the facade, so as to optimize
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9dee4b4fb231ce3b816b765cb8406d8
https://hal.archives-ouvertes.fr/hal-00856135
https://hal.archives-ouvertes.fr/hal-00856135
Publikováno v:
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. 13(Pt 3)
Segmentation is a fundamental problem in medical image analysis. The use of prior knowledge is often considered to address the ill-posedness of the process. Such a process consists in bringing all training examples in the same reference pose, and the
Publikováno v:
CVPR
Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on
23rd IEEE Conference on Computer Vision and Pattern Recognition-CVPR 2010
23rd IEEE Conference on Computer Vision and Pattern Recognition-CVPR 2010, Jun 2010, San Francisco, United States. pp.3105-3112, ⟨10.1109/CVPR.2010.5540068⟩
Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on
23rd IEEE Conference on Computer Vision and Pattern Recognition-CVPR 2010
23rd IEEE Conference on Computer Vision and Pattern Recognition-CVPR 2010, Jun 2010, San Francisco, United States. pp.3105-3112, ⟨10.1109/CVPR.2010.5540068⟩
International audience; In this paper we propose a novel approach to the perceptual interpretation of building facades that combines shape grammars, supervised classification and random walks. Procedural modeling is used to model the geometric and th
Publikováno v:
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010 ISBN: 9783642157103
MICCAI (3)
MICCAI 2010-13th International Conference on Medical Image Computing and Computer Assisted Intervention
MICCAI 2010-13th International Conference on Medical Image Computing and Computer Assisted Intervention, Sep 2010, Beijing, China. pp.189-196, ⟨10.1007/978-3-642-15711-0_24⟩
MICCAI (3)
MICCAI 2010-13th International Conference on Medical Image Computing and Computer Assisted Intervention
MICCAI 2010-13th International Conference on Medical Image Computing and Computer Assisted Intervention, Sep 2010, Beijing, China. pp.189-196, ⟨10.1007/978-3-642-15711-0_24⟩
International audience; Segmentation is a fundamental problem in medical image analysis. The use of prior knowledge is often considered to address the ill-posedness of the process. Such a process consists in bringing all training examples in the same
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::536140aca845f11e80846d8069dc9d6e
https://doi.org/10.1007/978-3-642-15711-0_24
https://doi.org/10.1007/978-3-642-15711-0_24
Publikováno v:
ICCV
In this paper we introduce a novel approach to single view reconstruction using shape grammars. Our approach consists in modeling architectural styles using a set of basic shapes and a set of parametric rules, corresponding to increasing levels of de