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pro vyhledávání: '"Berthelier, Anthony"'
Autor:
Berthelier, Anthony, Yan, Yongzhe, Chateau, Thierry, Blanc, Christophe, Duffner, Stefan, Garcia, Christophe
While deep neural networks (DNNs) have proven to be efficient for numerous tasks, they come at a high memory and computation cost, thus making them impractical on resource-limited devices. However, these networks are known to contain a large number o
Externí odkaz:
http://arxiv.org/abs/2007.10022
Autor:
Yan, Yongzhe, Duffner, Stefan, Phutane, Priyanka, Berthelier, Anthony, Blanc, Christophe, Garcia, Christophe, Chateau, Thierry
We present a facial landmark position correlation analysis as well as its applications. Although numerous facial landmark detection methods have been presented in the literature, few of them explicitly take into account the inherent relationship amon
Externí odkaz:
http://arxiv.org/abs/1911.10576
Autor:
Yan, Yongzhe, Duffner, Stefan, Phutane, Priyanka, Berthelier, Anthony, Blanc, Christophe, Garcia, Christophe, Chateau, Thierry
The recent performance of facial landmark detection has been significantly improved by using deep Convolutional Neural Networks (CNNs), especially the Heatmap Regression Models (HRMs). Although their performance on common benchmark datasets has reach
Externí odkaz:
http://arxiv.org/abs/1911.10572
Autor:
Yan, Yongzhe, Duffner, Stefan, Phutane, Priyanka, Berthelier, Anthony, Blanc, Christophe, Garcia, Christophe, Chateau, Thierry
Publikováno v:
In Pattern Recognition August 2021 116
Autor:
Yan, Yongzhe, Duffner, Stefan, Phutane, Priyanka, Berthelier, Anthony, Naturel, Xavier, Blanc, Christophe, Garcia, Christophe, Chateau, Thierry
Publikováno v:
In Computer Vision and Image Understanding November 2020 200
Autor:
Berthelier, Anthony, Yan, Yongzhe, Chateau, Thierry, Blanc, Christophe, Duffner, Stefan, Garcia, Christophe
Publikováno v:
RFIAP
RFIAP, Jun 2020, Vannes, France
RFIAP, Jun 2020, Vannes, France
National audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::620988df869a96f8df59707c25d64ef1
https://hal.archives-ouvertes.fr/hal-02972510
https://hal.archives-ouvertes.fr/hal-02972510
Autor:
Berthelier, Anthony
Publikováno v:
Electronique. Université Clermont Auvergne, 2021. Français. ⟨NNT : 2021UCFAC086⟩
Over the past years, deep neural networks have proved to be an essential element for developing intelligent solutions. They have achieved remarkable performances at a cost of a large size with deeper layers and millions of parameters. Therefore utili
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::cfff63234ca6a984e46a002ddf9d544a
https://theses.hal.science/tel-03663958
https://theses.hal.science/tel-03663958
Autor:
Yan, Yongzhe, Duffner, Stefan, Naturel, Xavier, Berthelier, Anthony, Garcia, Christophe, Blanc, Christophe, Chateau, Thierry
Publikováno v:
In Pattern Recognition Letters August 2020 136:293-300
Akademický článek
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Autor:
Yan, Yongzhe, Berthelier, Anthony, Duffner, Stefan, Naturel, Xavier, Garcia, Christophe, Chateau, Thierry
Publikováno v:
Conference on Computer Vision and Pattern Recognition Workshop (CVPR Workshop)
Conference on Computer Vision and Pattern Recognition Workshop (CVPR Workshop), Jun 2019, Long Beach, United States
Conference on Computer Vision and Pattern Recognition Workshop (CVPR Workshop), Jun 2019, Long Beach, United States
International audience; Virtual human hair dying is becoming a popular Augmented Reality (AR) application in recent years. Human hair contains diverse color and texture information which can be significantly varied from case to case depending on diff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::475a6bd5fc4a333a38eb67b243dc0984
https://hal.archives-ouvertes.fr/hal-02891974/file/23_CVPRW_hair_segmentation.pdf
https://hal.archives-ouvertes.fr/hal-02891974/file/23_CVPRW_hair_segmentation.pdf