Model Focus Improves Performance of Deep Learning-Based Synthetic Face Detectors

Autor: Jacob C. Piland, Adam Czajka, Christopher Sweet

Publikováno v: IEEE Access, Vol 11, Pp 63430-63441 (2023)

Deep learning-based models generalize better to unknown data samples after being guided “where to look” by incorporating human perception into training strategies. We made an observation that the entropy of the model’s salience trained in that

Externí odkaz: https://doaj.org/article/a1db8ceddc534529a4871f478e5f5dbb

Learning 3D Head Pose From Synthetic Data: A Semi-Supervised Approach

Autor: Shubhajit Basak, Peter Corcoran, Faisal Khan, Rachel Mcdonnell, Michael Schukat

Publikováno v: IEEE Access, Vol 9, Pp 37557-37573 (2021)

Accurate head pose estimation from 2D image data is an essential component of applications such as driver monitoring systems, virtual reality technology, and human-computer interaction. It enables a better determination of user engagement and attenti

Externí odkaz: https://doaj.org/article/7ec87378b996431fa709ed6d55b93951

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Construction of Facial Composites from Eyewitness Memory

Autor: Tredoux, Colin Getty, Frowd, Charlie, Vredeveldt, Annelies, Scott, Kyra, Shapiro, Leonard, Rea, Paul M.

Publikováno v: Advances in Experimental Medicine and Biology ISBN: 9783031130205
Tredoux, C G, Frowd, C, Vredeveldt, A & Scott, K 2023, Construction of Facial Composites from Eyewitness Memory . in L Shapiro & P M Rea (eds), Biomedical Visualisation : Volume 13 – The Art, Philosophy and Science of Observation and Imaging . vol. 13, Advances in Experimental Medicine and Biology, vol. 1392, Springer, pp. 149-190 . https://doi.org/10.1007/978-3-031-13021-2_8
Biomedical Visualisation: Volume 13 – The Art, Philosophy and Science of Observation and Imaging, 13, 149-190

Law enforcement agencies often rely on practical technologies to help witnesses and victims of crimes construct likenesses of faces from memory. These ‘face composites’ are typically circulated to law enforcement officers and made accessible to t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5216f62845012cee1971c3187b86afb8
https://research.vu.nl/en/publications/0149cd12-cfd3-4803-a4b3-ce29b33a9643

Learning 3D Head Pose From Synthetic Data: A Semi-Supervised Approach

Autor: Peter Corcoran, Michael Schukat, Rachel McDonnell, Shubhajit Basak, Faisal Shah Khan

Publikováno v: IEEE Access, Vol 9, Pp 37557-37573 (2021)

Accurate head pose estimation from 2D image data is an essential component of applications such as driver monitoring systems, virtual reality technology, and human-computer interaction. It enables a better determination of user engagement and attenti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::123132eb0969bef2538337f46a0f8822
https://ieeexplore.ieee.org/document/9369299/