Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Mohammad Rami Koujan"'
Publikováno v:
Pattern Analysis and Applications. 25:521-535
Stress conditions are manifested in different human body’s physiological processes and the human face. Facial expressions are modelled consistently through the Facial Action Coding System (FACS) using the facial Action Units (AU) parameters. This p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ba2991fdc04d82bee5daf1e7355ee4b
https://doi.org/10.1007/s10044-021-01012-9
https://doi.org/10.1007/s10044-021-01012-9
Publikováno v:
Pattern Analysis and Applications. 25:487-488
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2eec3780a137ac52772a33fe3ef93ecf
https://doi.org/10.1007/s10044-022-01060-9
https://doi.org/10.1007/s10044-022-01060-9
Publikováno v:
FG
In this paper, we propose a novel machine learning architecture for facial reenactment. In particular, contrary to the model-based approaches or recent frame-based methods that use Deep Convolutional Neural Networks (DCNNs) to generate individual fra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dcba5e4147627126a1fbd209fed4e194
https://doi.org/10.1109/fg47880.2020.00048
https://doi.org/10.1109/fg47880.2020.00048
Publikováno v:
FG
Emotional stress detection can be performed analyzing different facial parameters. This paper focuses on the automated identification of facial Action Units (AU) as quantitative indices in order to discriminate between neutral and stress/anxiety stat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b8709957f55e91755d1750e77294375
https://doi.org/10.1109/fg47880.2020.00129
https://doi.org/10.1109/fg47880.2020.00129
Publikováno v:
FG
Video-to-video synthesis is a challenging problem aiming at learning a translation function between a sequence of semantic maps and a photo-realistic video depicting the characteristics of a driving video. We propose a head-to-head system of our own
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5c65c040915b54443aa429c1c7758b4
https://doi.org/10.1109/fg47880.2020.00049
https://doi.org/10.1109/fg47880.2020.00049
Publikováno v:
CVPR
Dense 3D facial motion capture from only monocular in-the-wild pairs of RGB images is a highly challenging problem with numerous applications, ranging from facial expression recognition to facial reenactment. In this work, we propose DeepFaceFlow, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbdea06d3764269d2b2012f52fe486fb
https://doi.org/10.1109/cvpr42600.2020.00665
https://doi.org/10.1109/cvpr42600.2020.00665
Autor:
Giorgos Giannakakis, Mohammad Rami Koujan, Nicolas Pugeault, Anastasios Roussos, Luma Alharbawee
Publikováno v:
FG
Human emotions analysis has been the focus of many studies, especially in the field of Affective Computing, and is important for many applications, e.g. human-computer intelligent interaction, stress analysis, interactive games, animations, etc. Solu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4d6e4cd789e6464f1fbace848fdbf7d
Autor:
Stefanos Zafeiriou, Mohammad Rami Koujan, Michail Christos Doukas, Anastasios Roussos, Viktoriia Sharmanska
Facial video re-targeting is a challenging problem aiming to modify the facial attributes of a target subject in a seamless manner by a driving monocular sequence. We leverage the 3D geometry of faces and Generative Adversarial Networks (GANs) to des
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf0b39ae2566dcb82a56fa9073b70f63
Publikováno v:
CVMP
Monocular 4D face reconstruction is a challenging problem, especially in the case that the input video is captured under unconstrained conditions, i.e. "in the wild". The majority of the state-of-the-art approaches build upon 3D Morphable Modelling (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f860499979ca0e7914f036a20a40ec0
https://doi.org/10.1145/3278471.3278476
https://doi.org/10.1145/3278471.3278476
Autor:
David R. Wilson, Jody Westerfeld, Ahsan R. Akram, Antonios Perperidis, Kevin Dhaliwal, Mohammad Rami Koujan, Paul McCool, Stephen McLaughlin
Publikováno v:
ISBI
Optical endomicroscopy (OEM) is an emerging medical imaging tool capable of providing in-vivo, in-situ optical biopsies. Clinical pulmonary OEM procedures generate data containing a multitude of frames, making their manual analysis a highly subjectiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78f3e99a607c25c7e8a2ba06b58a09ef
https://doi.org/10.1109/isbi.2018.8363874
https://doi.org/10.1109/isbi.2018.8363874