4 papers
Combined CNN and ViT features off-the-shelf: Another astounding baseline for recognition
Fernando Alonso-Fernandez, Kevin Hernandez-Diaz, Prayag Tiwari +1
We apply pre-trained architectures, originally developed for the ImageNet Large Scale Visual Recognition Challenge, for periocular recognition. These architectures have demonstrate…
Understanding and Improving CNNs with Complex Structure Tensor: A Biometrics Study
Kevin Hernandez-Diaz, Josef Bigun, Fernando Alonso-Fernandez
Our study provides evidence that CNNs struggle to effectively extract orientation features. We show that the use of Complex Structure Tensor, which contains compact orientation fea…
An Explainable Model-Agnostic Algorithm for CNN-based Biometrics Verification
Fernando Alonso-Fernandez, Kevin Hernandez-Diaz, Jose M. Buades +2
This paper describes an adaptation of the Local Interpretable Model-Agnostic Explanations (LIME) AI method to operate under a biometric verification setting. LIME was initially pro…
SqueezerFaceNet: Reducing a Small Face Recognition CNN Even More Via Filter Pruning
Fernando Alonso-Fernandez, Kevin Hernandez-Diaz, Jose Maria Buades Rubio +1
The widespread use of mobile devices for various digital services has created a need for reliable and real-time person authentication. In this context, facial recognition technolog…