Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Sezer Karaoglu"'
Autor:
Agnes van Minnen, F. Jackie June ter Heide, Tilly Koolstra, Ad de Jongh, Sezer Karaoglu, Theo Gevers
Publikováno v:
Frontiers in Psychiatry, Vol 14 (2023)
Externí odkaz:
https://doaj.org/article/a14d78d2c2d94c559457fb788d8916cd
Autor:
Agnes van Minnen, F. Jackie June ter Heide, Tilly Koolstra, Ad de Jongh, Sezer Karaoglu, Theo Gevers
Publikováno v:
Frontiers in Psychiatry, Vol 13 (2022)
BackgroundInterventions aimed at easing negative moral (social) emotions and restoring social bonds – such as amend-making and forgiving—have a prominent role in the treatment of moral injury. As real-life contact between persons involved in prio
Externí odkaz:
https://doaj.org/article/5372438cb5034597930be03e7988c469
Publikováno v:
Sensors, Vol 19, Iss 5, p 1103 (2019)
Latest advances of deep learning paradigm and 3D imaging systems have raised the necessity for more complete datasets that allow exploitation of facial features such as pose, gender or age. In our work, we propose a new facial dataset collected with
Externí odkaz:
https://doaj.org/article/5965036dd89449dfa756326b36fe0c18
Publikováno v:
IEEE Transactions on Multimedia, 24, 377-385. Institute of Electrical and Electronics Engineers Inc.
We present a novel architecture for manipulating facial expressions, head poses, and lighting conditions from a single monocular image. Recent methods based on Generative Adversarial Networks show promising results in expression manipulation. However
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::feebc74c86c2c4f7acfac595be12c894
https://doi.org/10.1109/tmm.2021.3050672
https://doi.org/10.1109/tmm.2021.3050672
Publikováno v:
2022 International Conference on 3D Vision (3DV).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42dbe0210abb1298c7da10fb99840036
https://doi.org/10.1109/3dv57658.2022.00069
https://doi.org/10.1109/3dv57658.2022.00069
Publikováno v:
2022 International Conference on 3D Vision (3DV).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40919bced3b3a4ac028e953786500535
https://doi.org/10.1109/3dv57658.2022.00026
https://doi.org/10.1109/3dv57658.2022.00026
Intrinsic image decomposition is the process of recovering the image formation components (reflectance and shading) from an image. Previous methods employ either explicit priors to constrain the problem or implicit constraints as formulated by their
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9afd8bb22a3f79e48ad5a021f6b31982
http://arxiv.org/abs/2203.16670
http://arxiv.org/abs/2203.16670
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::849deb322ff38f67c45e3f95bf157ca6
https://doi.org/10.2139/ssrn.4078804
https://doi.org/10.2139/ssrn.4078804
Publikováno v:
International Journal of Computer Vision, 129(8). Springer Netherlands
In general, intrinsic image decomposition algorithms interpret shading as one unified component including all photometric effects. As shading transitions are generally smoother than reflectance (albedo) changes, these methods may fail in distinguishi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ebc899bd978615275f505c8873ec168e
https://dare.uva.nl/personal/pure/en/publications/shadingnet-image-intrinsics-by-finegrained-shading-decomposition(f0087de2-31de-48d7-ae20-9c26c16d1b1c).html
https://dare.uva.nl/personal/pure/en/publications/shadingnet-image-intrinsics-by-finegrained-shading-decomposition(f0087de2-31de-48d7-ae20-9c26c16d1b1c).html
Publikováno v:
Computer Vision and Image Understanding. 223:103538
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6d85c3e7f461531853672f1f6cf65f7
https://doi.org/10.1016/j.cviu.2022.103538
https://doi.org/10.1016/j.cviu.2022.103538