Evangelia Pantraki — accepted AI-conference papers

2024

Interpretable Face Aging: Enhancing Conditional Adversarial Autoencoders with Lime Explanations

Christos Korgialas, Evangelia Pantraki, Constantine Kotropoulos

ICASSP 2024accepted

An innovative approach is proposed that leverages a perturbation explainable system within the Conditional Adversarial Autoencoder (CAAE) framework. The incorporation of the perturbation-based explainable system in the CAAE model harnesses the explanatory power of Local Interpretable Model-Agnostic…

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2019

Leveraging Image-to-image Translation Generative Adversarial Networks for Face Aging

Evangelia Pantraki, Constantine Kotropoulos, Andreas Lanitis

ICASSP 2019accepted

Here, face images of a specific age class are translated to images of different age classes in an unsupervised manner that enables training on independent sets of images for each age class. In order to learn pairwise translations between age classes, we adopt the UNsupervised Image-to-image Translat…

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