44 citations · 44 across the 4 of their papers we have counts for
8 papers
Pindrop it! Audio and Visual Deepfake Countermeasures for Robust Detection and Fine Grained-Localization
Nicholas Klein, Hemlata Tak, James Fullwood +5
The field of visual and audio generation is burgeoning with new state-of-the-art methods. This rapid proliferation of new techniques underscores the need for robust solutions for d…
Explaining Face Presentation Attack Detection Using Natural Language
Hengameh Mirzaalian, Mohamed E. Hussein, Leonidas Spinoulas +2
A large number of deep neural network based techniques have been developed to address the challenging problem of face presentation attack detection (PAD). Whereas such techniques'…
Detection and Continual Learning of Novel Face Presentation Attacks
Mohammad Rostami, Leonidas Spinoulas, Mohamed Hussein +2
Advances in deep learning, combined with availability of large datasets, have led to impressive improvements in face presentation attack detection research. However, state-of-the-a…
Multi-Modal Fingerprint Presentation Attack Detection: Evaluation On A New Dataset
Leonidas Spinoulas, Hengameh Mirzaalian, Mohamed Hussein +1
Fingerprint presentation attack detection is becoming an increasingly challenging problem due to the continuous advancement of attack preparation techniques, which generate realist…
Multispectral Biometrics System Framework: Application to Presentation Attack Detection
Leonidas Spinoulas, Mohamed Hussein, David Geissbühler +5
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…
Compressive Holographic Video
Zihao Wang, Leonidas Spinoulas, Kuan He +4
Compressed sensing has been discussed separately in spatial and temporal domains. Compressive holography has been introduced as a method that allows 3D tomographic reconstruction a…
DeepBinaryMask: Learning a Binary Mask for Video Compressive Sensing
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. In video compressive sensing one frame is acquir…
Deep Fully-Connected Networks for Video Compressive Sensing
Michael Iliadis, Leonidas Spinoulas, Aggelos K. Katsaggelos
In this work we present a deep learning framework for video compressive sensing. The proposed formulation enables recovery of video frames in a few seconds at significantly improve…