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Andrea Macarulla Rodriguez
Zeno Geradts
Marcel Worring

Showing results (1-10 of 26) with videos related to

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Journal of Forensic Sciences|May 13, 2020
Likelihood Ratios for Deep Neural Networks in Face ComparisonAndrea Macarulla Rodriguez, Zeno Geradts, Marcel Worring
Forensic Science International|April 1, 2022
Calibration of score based likelihood ratio estimation in automated forensic facial image comparisonAndrea Macarulla Rodriguez, Zeno Geradts, Marcel Worring
Forensic Science International. Synergy|March 15, 2024
Improved likelihood ratios for face recognition in surveillance video by multimodal feature pairingAndrea Macarulla Rodriguez, Zeno Geradts, Marcel Worring, et al.
Forensic Science International. Synergy|June 22, 2026
Interpol review of detection of AI-generated image and video deepfakes, 2022-2025Stijn van Lierop, Ivona Najdenkoska, Marcel Worring, et al.
Forensic Sciences Research|November 29, 2018
Google timeline accuracy assessment and error predictionAndrea Macarulla Rodriguez, Christian Tiberius, Roel van Bree, et al.
Science & Justice : Journal of the Forensic Science Society|September 14, 2024
Fusing linguistic and acoustic information for automated forensic speaker comparisonE K Sergidou, Rolf Ypma, Johan Rohdin, et al.
Forensic Sciences Research|November 29, 2018
Evaluating OpenFace: an open-source automatic facial comparison algorithm for forensicsAngeliki Fydanaki, Zeno Geradts
Journal of Forensic Sciences|March 23, 2002
Content based information retrieval in forensic image databasesZeno Geradts, Jurrien Bijhold
Journal of Imaging|August 30, 2021
Factors that Influence PRNU-Based Camera-Identification via VideosLars de Roos, Zeno Geradts
Journal of Forensic Sciences|February 15, 2012
Using anisotropic diffusion for efficient extraction of sensor noise in camera identificationWiger van Houten, Zeno Geradts
Pageof 3

Showing results (1-10 of 26) with videos related to

Sort By:
Pageof 3
Journal of Forensic Sciences|May 13, 2020
Likelihood Ratios for Deep Neural Networks in Face ComparisonAndrea Macarulla Rodriguez, Zeno Geradts, Marcel Worring
Forensic Science International|April 1, 2022
Calibration of score based likelihood ratio estimation in automated forensic facial image comparisonAndrea Macarulla Rodriguez, Zeno Geradts, Marcel Worring
Forensic Science International. Synergy|March 15, 2024
Improved likelihood ratios for face recognition in surveillance video by multimodal feature pairingAndrea Macarulla Rodriguez, Zeno Geradts, Marcel Worring, et al.
Forensic Science International. Synergy|June 22, 2026
Interpol review of detection of AI-generated image and video deepfakes, 2022-2025Stijn van Lierop, Ivona Najdenkoska, Marcel Worring, et al.
Forensic Sciences Research|November 29, 2018
Google timeline accuracy assessment and error predictionAndrea Macarulla Rodriguez, Christian Tiberius, Roel van Bree, et al.
Science & Justice : Journal of the Forensic Science Society|September 14, 2024
Fusing linguistic and acoustic information for automated forensic speaker comparisonE K Sergidou, Rolf Ypma, Johan Rohdin, et al.
Forensic Sciences Research|November 29, 2018
Evaluating OpenFace: an open-source automatic facial comparison algorithm for forensicsAngeliki Fydanaki, Zeno Geradts
Journal of Forensic Sciences|March 23, 2002
Content based information retrieval in forensic image databasesZeno Geradts, Jurrien Bijhold
Journal of Imaging|August 30, 2021
Factors that Influence PRNU-Based Camera-Identification via VideosLars de Roos, Zeno Geradts
Journal of Forensic Sciences|February 15, 2012
Using anisotropic diffusion for efficient extraction of sensor noise in camera identificationWiger van Houten, Zeno Geradts
Pageof 3