Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Wuyue Lu"'
Publikováno v:
The ACM SIGGRAPH / Eurographics Symposium on Computer Animation.
The transfer of facial expressions from people to 3D face models is a classic computer graphics problem. In this paper, we present a novel, learning-based approach to transferring facial expressions and head movements from images and videos to a biom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3536fe34d556de99fcdd8f97d9f0fc8
https://doi.org/10.1145/3475946.3480959
https://doi.org/10.1145/3475946.3480959
Publikováno v:
Advances in Visual Computing ISBN: 9783030904388
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08f923a63ca79e15dab3d928e6a030bc
https://doi.org/10.1007/978-3-030-90439-5_10
https://doi.org/10.1007/978-3-030-90439-5_10
Autor:
Daniel L. Rubin, Assaf Hoogi, Debleena Sengupta, Brian Wilcox, Ali Hatamizadeh, Wuyue Lu, Demetri Terzopoulos
Publikováno v:
Machine Learning in Medical Imaging ISBN: 9783030326913
MLMI@MICCAI
MLMI@MICCAI
Lesion segmentation is an important problem in computer-assisted diagnosis that remains challenging due to the prevalence of low contrast, irregular boundaries that are unamenable to shape priors. We introduce Deep Active Lesion Segmentation (DALS),
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dbebb83018330ba29f65bb5029225147
https://doi.org/10.1007/978-3-030-32692-0_12
https://doi.org/10.1007/978-3-030-32692-0_12
Autor:
Demetri Terzopoulos, Daniel L. Rubin, Ali Hatamizadeh, Assaf Hoogi, Wuyue Lu, Brian Wilcox, Debleena Sengupta
Lesion segmentation is an important problem in computer-assisted diagnosis that remains challenging due to the prevalence of low contrast, irregular boundaries that are unamenable to shape priors. We introduce Deep Active Lesion Segmentation (DALS),
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5ed40c17e34c633f886140345a98164
Autor:
Wuyue Lu, Ligang Liu
Publikováno v:
Computer Aided Geometric Design. 77:101831
Real-world point clouds data acquired by depth cameras or laser range scanners are usually imperfect and contain noises, outliers, and missing regions, which makes the reconstruction remain challenging. In this paper, we present a novel evolution-bas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8622c7a55c2db430c75700291cc5c24
https://doi.org/10.1016/j.cagd.2020.101831
https://doi.org/10.1016/j.cagd.2020.101831