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VEDLIoT -- Next generation accelerated AIoT systems and applications
The VEDLIoT project aims to develop energy-efficient Deep Learning methodologies for distributed Artificial Intelligence of Things (AIoT) applications.
FaceSpoof Buster: a Presentation Attack Detector Based on Intrinsic Image Properties and Deep Learning
Techniques that rely on trespassing these kind of systems by using a forged biometric sample, such as a printed paper or a recorded video of a genuine access, are known as presentation attacks, but may be also referred in the literature as face spoofing.
A Preliminary Study on Hyperparameter Configuration for Human Activity Recognition
In this paper, we present a semi-supervised classifier and a study regarding the influence of hyperparameter configuration in classification accuracy, depending on the user and the activities performed by each user.
Exposing Computer Generated Images by Using Deep Convolutional Neural Networks
The recent computer graphics developments have upraised the quality of the generated digital content, astonishing the most skeptical viewer.
