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V. Despiegel

2 papers hereh-index 5164 citations19 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV2

identity via Semantic Scholar / OpenAlex

most citedMitigating Gender Bias in Face Recognition Using the von Mises-Fisher Mixture Model

4 citations · 4 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2022★ 4 cited

Mitigating Gender Bias in Face Recognition Using the von Mises-Fisher Mixture Model

Jean-Rémy Conti, Nathan Noiry, Vincent Despiegel +2

In spite of the high performance and reliability of deep learning algorithms in a wide range of everyday applications, many investigations tend to show that a lot of models exhibit…

cs.CV2022

One Picture is Worth a Thousand Words: A New Wallet Recovery Process

Hervé Chabannne, Vincent Despiegel, Linda Guiga

We introduce a new wallet recovery process. Our solution associates 1) visual passwords: a photograph of a secretly picked object (Chabanne et al., 2013) with 2) ImageNet classifie…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.