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Irene Kotsia
Researcher at Middlesex University
Publications - 61
Citations - 5327
Irene Kotsia is an academic researcher from Middlesex University. The author has contributed to research in topics: Facial expression & Facial recognition system. The author has an hindex of 24, co-authored 61 publications receiving 3405 citations. Previous affiliations of Irene Kotsia include Aristotle University of Thessaloniki & University of London.
Papers
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Proceedings ArticleDOI
RetinaFace: Single-Shot Multi-Level Face Localisation in the Wild
TL;DR: A novel single-shot, multi-level face localisation method, named RetinaFace, which unifies face box prediction, 2D facial landmark localisation and 3D vertices regression under one common target: point regression on the image plane.
Journal ArticleDOI
Facial Expression Recognition in Image Sequences Using Geometric Deformation Features and Support Vector Machines
Irene Kotsia,Ioannis Pitas +1 more
TL;DR: Two novel methods for facial expression recognition in facial image sequences are presented, one based on deformable models and the other based on grid-tracking and deformation systems.
Proceedings ArticleDOI
AgeDB: The First Manually Collected, In-the-Wild Age Database
Stylianos Moschoglou,Athanasios Papaioannou,Christos Sagonas,Jiankang Deng,Irene Kotsia,Stefanos Zafeiriou +5 more
TL;DR: This paper presents the first, to the best of knowledge, manually collected "in-the-wild" age database, dubbed AgeDB, containing images annotated with accurate to the year, noise-free labels, which renders AgeDB suitable when performing experiments on age-invariant face verification, age estimation and face age progression "in the wild".
Proceedings ArticleDOI
The eNTERFACE’05 Audio-Visual Emotion Database
TL;DR: The difficulties involved in the construction of such a multimodal emotion database are presented and the different protocols that have been used to cope with these difficulties are described.
Posted Content
RetinaFace: Single-stage Dense Face Localisation in the Wild
TL;DR: A robust single-stage face detector, named RetinaFace, which performs pixel-wise face localisation on various scales of faces by taking advantages of joint extra-supervised and self-super supervised multi-task learning.