Learnable PINs: Cross-modal embeddings for person identity

We propose and investigate an identity sensitive joint embedding of face and voice. Such an embedding enables cross-modal retrieval from voice to face and from face to voice. We make the following four contributions: first, we show that the embedding can be learnt from videos of talking faces, witho...

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Détails bibliographiques
Auteurs principaux: Nagrani, A, Albanie, S, Zisserman, A
Format: Conference item
Publié: Springer 2018