no code implementations • 8 Nov 2021 • Hengameh Mirzaalian, Mohamed E. Hussein, Leonidas Spinoulas, Jonathan May, Wael Abd-Almageed
Due to the limited amount of annotated data in our study, we apply a light-weight LSTM network as our natural language generation model.
no code implementations • ICCV 2021 • Mohammad Rostami, Leonidas Spinoulas, Mohamed Hussein, Joe Mathai, Wael Abd-Almageed
Advances in deep learning, combined with availability of large datasets, have led to impressive improvements in face presentation attack detection research.
1 code implementation • 12 Jun 2020 • Leonidas Spinoulas, Hengameh Mirzaalian, Mohamed Hussein, Wael Abd-Almageed
Our evaluation compares different combination of the new sensing modalities to legacy data from one of our collections as well as the public LivDet2015 dataset, showing the superiority of the new sensing modalities in most cases.
no code implementations • 12 Jun 2020 • Leonidas Spinoulas, Mohamed Hussein, David Geissbühler, Joe Mathai, Oswin G. Almeida, Guillaume Clivaz, Sébastien Marcel, Wael Abd-Almageed
In this work, we present a general framework for building a biometrics system capable of capturing multispectral data from a series of sensors synchronized with active illumination sources.
no code implementations • 27 Oct 2016 • Zihao Wang, Leonidas Spinoulas, Kuan He, Huaijin Chen, Lei Tian, Aggelos K. Katsaggelos, Oliver Cossairt
Compressive holography has been introduced as a method that allows 3D tomographic reconstruction at different depths from a single 2D image.
1 code implementation • 12 Jul 2016 • Michael Iliadis, Leonidas Spinoulas, Aggelos K. Katsaggelos
In this paper, we propose a novel encoder-decoder neural network model referred to as DeepBinaryMask for video compressive sensing.
1 code implementation • 16 Mar 2016 • Michael Iliadis, Leonidas Spinoulas, Aggelos K. Katsaggelos
In this work we present a deep learning framework for video compressive sensing.