Stefanos Zafeiriou is currently a Professor in Machine Learning and Computer Vision with the Department of Computing, Imperial College London, London, U.K, and an EPSRC Early Career Research Fellow. Between 2016-2020 he was also a Distinguishing Research Fellow with the University of Oulu under Finish Distinguishing Professor Programme. He was a recipient of the Prestigious Junior Research Fellowships from Imperial College London in 2011. He was the recipient of the President’s Medal for Excellence in Research Supervision for 2016. He served Associate Editor and Guest Editor in various journals including IEEE Trans. Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, IEEE Transactions on Affective Computing, Computer Vision and Image Understanding, IEEE Transactions on Cybernetics the Image and Vision Computing Journal. He has been a Guest Editor of 8 journal special issues and co-organised over 16 workshops/special sessions on specialised computer vision topics in top venues, such as CVPR/FG/ICCV/ECCV (including three very successfully challenges run in ICCV’13, ICCV’15 and CVPR’17 on facial landmark localisation/tracking). He has co-authored 70 journal papers mainly on novel statistical machine learning methodologies applied to computer vision problems, such as 2-D/3-D face analysis, deformable object fitting and tracking, shape from shading, and human behaviour analysis, published in the most prestigious journals in his field of research, such as the IEEE T-PAMI, the International Journal of Computer Vision, and many papers in top conferences, such as CVPR, ICCV, ECCV, ICML. His students are frequent recipients of very prestigious and highly competitive fellowships, such as the Google Fellowship x2, the Intel Fellowship, and the Qualcomm Fellowship x4. He has more than 12K citations to his work, h-index 54. He was the General Chair of BMVC 2017. He was co-founder of two startups Facesoft and Ariel AI. His work has been recently showcased in Science http://www.sciencemag.org/news/2017/05/computer-scientists-have-created-most-accurate-digital-model-human-face-here-s-what-it.
et al., 2013, Infinite Hidden Conditional Random Fields for Human Behavior Analysis, IEEE Transaction on Neural Networks and Learning Systems, Vol:24, ISSN:2162-237X, Pages:170-177
et al., 2012, Efficient Online Subspace Learning With an Indefinite Kernel for Visual Tracking and Recognition, IEEE Transaction on Neural Networks and Learning Systems, Vol:23, ISSN:2162-237X, Pages:1624-1636
Tzimiropoulos G, Zafeiriou S, Pantic M, 2012, Subspace learning from image gradient orientations, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol:34, ISSN:0162-8828, Pages:2454-2466
et al., 2012, Regularized kernel discriminant analysis with a robust kernel for face recognition and verification, IEEE Transaction on Neural Networks and Learning Systems, Vol:23, ISSN:2162-237X, Pages:526-534
et al., 2010, Robust FFT-Based Scale-Invariant Image Registration with Image Gradients, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol:32, ISSN:0162-8828, Pages:1899-1906
Tzimiropoulos G, Zafeiriou S, Pantic M, 2011, Robust and efficient parametric face alignment, ICCV 2011, IEEE, Pages:1847-1854, ISSN:1550-5499