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Stefanos Zafeiriou
Researcher at Imperial College London
Publications - 406
Citations - 26443
Stefanos Zafeiriou is an academic researcher from Imperial College London. The author has contributed to research in topics: Facial recognition system & Computer science. The author has an hindex of 60, co-authored 375 publications receiving 17993 citations. Previous affiliations of Stefanos Zafeiriou include Huawei & Aristotle University of Thessaloniki.
Papers
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Proceedings Article
2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets
Xiao Wei,A. Aldo Faisal,Moritz Grosse-Wentrup,Alexandre Gramfort,Sylvain Chevallier,Vinay Jayaram,Camille Jeunet,Stylianos Bakas,Siegfried Ludwig,Konstantinos Barmpas,Mehdi Bahri,Yannis Panagakis,Nikolaos A. Laskaris,Dimitrios A. Adamos,Stefanos Zafeiriou,William Duong,Stephen V. Gordon,Vernon J. Lawhern,Maciej Sliwowski,Vincent Rouanne,Piotr Tempczyk +20 more
TL;DR: Electroencephalography (EEG) is picked as an exemplar for all the things that make biosignal data analysis a hard problem, and two transfer learning challenges are designed to probe algorithmic performance with all the challenges of biosignedal data.
Posted Content
HeadGAN: Video-and-Audio-Driven Talking Head Synthesis
TL;DR: HeadGAN is proposed, a novel reenactment approach that conditions synthesis on 3D face representations, which can be extracted from any driving video and adapted to the facial geometry of any source.
Book ChapterDOI
Robust learning from normals for 3d face recognition
TL;DR: Novel subspace-based methods for learning from the azimuth angle of surface normals for 3D face recognition using a cosine-based distance measure are introduced and can achieve good face recognition/verification performance by using raw 3D scans without any heavy preprocessing.
Proceedings ArticleDOI
Elastic graph matching versus linear subspace methods for frontal face verification
TL;DR: A comparative study between standard linear subspace techniques such as eigenfaces and fisherfaces and a novel morphological elastic graph matching for frontal face verification and the experimental results indicate the superiority of the novel Morphological elasticgraph matching against all the other presented techniques.
Proceedings ArticleDOI
Nonnegative Embeddings and Projections for Dimensionality Reduction and Information Visualization
TL;DR: Novel algorithms for low dimensionality nonnegative embedding of vectorial and/or relational data, as well as nonnegative projections for dimensionality reduction are proposed, demonstrating first preliminary results of the proposed methods in data visualization.