Blar i NTNU Open på forfatter "Grimmer, Marcel"

Viser treff 1-4 av 4

    • Bias Mitigation in Face Recognition Systems using Synthetic Data 

      Kopperud, Pernille (Master thesis, 2023)
      De fleste moderne ansiktsgjenkjenningssystemer i dag er basert på dype læringsteknikker som krever en stor mengde merket treningsdata for å fungere tilfredsstillende. Med innføringen av personvernlover og forskrifter som ...

    • Deep Face Age Progression: A Survey 

      Grimmer, Marcel; Ramachandra, Raghavendra; Busch, Christoph (Peer reviewed; Journal article, 2021)

    • HEBI: Homomorphically Encrypted Biometric Indexing 

      Bauspieß, Pia; Grimmer, Marcel; Fougner, Cecilie; Le Vasseur, Damien; Stöcklin, Thomas Thaulow; Rathgeb, Christian; Kolberg, Jascha; Costache, Anamaria; Busch, Christoph (Chapter, 2023)
      Biometric data stored in automated recognition systems are at risk of attacks. This is particularly true for large-scale biometric identification systems, where the reference database is often accessed remotely. A popular ...

    • On the Applicability of Synthetic Data for Face Recognition 

      Zhang, Haoyu; Grimmer, Marcel; Ramachandra, Raghavendra; Bylappa Raja, Kiran; Busch, Christoph (Chapter, 2021)
      Face verification has come into increasing focus in various applications including the European Entry/Exit System, which integrates face recognition mechanisms. At the same time, the rapid advancement of biometric ...