Person

Parsa Rahimi Noshanagh

This person has left EPFL

Expertise My main research interest is Synthetic Data Generation and its application in various Vision/Text tasks. Specifically my current approach is to study if it is possible to use the Generative Models like StyleGANs, Diffusion and Flows to further enhance the Discriminative models (e.g., Classifiers). Conceptually this have some common grounds with Analysis by Synthesis idea. In essence it it addressing fundamental synergy of Discriminative and Generative modeling.

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https://people.epfl.ch/parsa.rahiminoshanagh?lang=en

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Parsa Rahimi Noshanagh

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Deep Variational Privacy Funnel: General Modeling with Applications in Face Recognition

FRCSyn-onGoing: Benchmarking and comprehensive evaluation of real and synthetic data to improve face recognition systems

FRCSyn Challenge atWACV 2024: Face Recognition Challenge in the Era of Synthetic Data