Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Catherine Soladie"'
Publikováno v:
PLoS ONE, Vol 18, Iss 8, p e0290612 (2023)
Recent deep-learning techniques have made it possible to manipulate facial expressions in digital photographs or videos, however, these techniques still lack fine and personalized ways to control their creation. Moreover, current technologies are hig
Externí odkaz:
https://doaj.org/article/c8df41786c49479fb8e521213b9803fe
Publikováno v:
Frontiers in Signal Processing, Vol 2 (2022)
Facial micro-expressions (MiEs) analysis has applications in various fields, including emotional intelligence, psychotherapy, and police investigation. However, because MiEs are fast, subtle, and local reactions, there is a challenge for humans and m
Externí odkaz:
https://doaj.org/article/e674ace0f74b437bbdb1e15f8403f249
Publikováno v:
IEEE Transactions on Affective Computing. 14:811-822
The Micro-expressions (MEs) are very important nonverbal communication clues. However, due to their local and short nature, spotting them is challenging. In this paper, we address this problem by using a dedicated local and temporal pattern (LTP) of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1554e5705cb19224742b773239c1258
https://doi.org/10.1109/taffc.2020.3023821
https://doi.org/10.1109/taffc.2020.3023821
Publikováno v:
Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7ce1c3602e11e27e9eefac4f560fccc
https://doi.org/10.5220/0010856200003124
https://doi.org/10.5220/0010856200003124
Autor:
Renaud Seguier, Catherine Soladie, Yasser Boutaleb, Nam-Duong Duong, Jérôme Royan, Amine Kacete
Publikováno v:
International Conference on Computer Vision Theory and Applications (VISAPP)
Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP)
16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP)
16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP), Feb 2021, Online, France. pp.293-302, ⟨10.5220/0010232702930302⟩
VISIGRAPP (4: VISAPP)
Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP)
16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP)
16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP), Feb 2021, Online, France. pp.293-302, ⟨10.5220/0010232702930302⟩
VISIGRAPP (4: VISAPP)
International audience; Recognizing first-person hand activity is a challenging task, especially when not enough data are available. In this paper, we tackle this challenge by proposing a new hybrid learning pipeline for skeleton-based hand activity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf3c2f67105d7f6f1c17d4271d472de7
https://hal.science/hal-03145521/document
https://hal.science/hal-03145521/document
For the last decades, the concern of producing convincing facial animation has garnered great interest, that has only been accelerating with the recent explosion of 3D content in both entertainment and professional activities. The use of motion captu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21ff7b83bcc7774e8ab038bcbea070d5
http://arxiv.org/abs/2010.05655
http://arxiv.org/abs/2010.05655
With the increasing demand for real-time animated 3D content in the entertainment industry and beyond, performance-based animation has garnered interest among both academic and industrial communities. While recent solutions for motion-capture animati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b26d6ced00e05e0ff6c22a06e07ce95
http://arxiv.org/abs/2008.01332
http://arxiv.org/abs/2008.01332
Publikováno v:
Motion, Interaction and Games
Motion, Interaction and Games, Oct 2019, Newcastle upon Tyne, France. pp.25, ⟨10.1145/3359566.3360076⟩
MIG
Motion, Interaction and Games, Oct 2019, Newcastle upon Tyne, France. pp.25, ⟨10.1145/3359566.3360076⟩
MIG
International audience; Over the past few years, the automatic generation of facial animation for virtual characters has garnered interest among the animation research and industry communities. Recent research contributions leverage machine-learning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55a42cc1e0c1237085a6a5faa280fa5f
http://arxiv.org/abs/2007.09367
http://arxiv.org/abs/2007.09367
Publikováno v:
IEEE Transactions on Affective Computing
IEEE Transactions on Affective Computing, Institute of Electrical and Electronics Engineers, 2020, 11 (3), pp.419-432. ⟨10.1109/taffc.2018.2807430⟩
IEEE Transactions on Affective Computing, 2020, 11 (3), pp.419-432. ⟨10.1109/taffc.2018.2807430⟩
IEEE Transactions on Affective Computing, Institute of Electrical and Electronics Engineers, 2020, 11 (3), pp.419-432. ⟨10.1109/taffc.2018.2807430⟩
IEEE Transactions on Affective Computing, 2020, 11 (3), pp.419-432. ⟨10.1109/taffc.2018.2807430⟩
In order to analyze expressions that are different from the prototypic expressions defined by Ekman, manifold learning has been proposed to build person-specific continuous representations of facial expressions. Yet, it is still a challenging problem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c666f66702e884cd1c9316dc82767c34
https://hal.archives-ouvertes.fr/hal-01831384
https://hal.archives-ouvertes.fr/hal-01831384