Nesryne Mejri
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| Department | CVI2 | ||||
| Adresse postale |
Campus Kirchberg, Université du Luxembourg 6, rue Richard Coudenhove-Kalergi L-1359 Luxembourg |
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| Bureau sur le campus | E 209 | ||||
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Nesryne Mejri received her Masters degree in Information and Computer Science from the University of Luxembourg in 2021. Her research interests are in Computer Vision and Deep Learning, focusing on media forensics and the detection of forged and fake visual content. Nesryne joined the Computer Vision, Imaging & Machine Intelligence research group - CVI2 headed by Prof. Djamila Aouada and she will be advised by the latter.
Last updated on: mercredi 22 septembre 2021
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2023
UNTAG: Learning Generic Features for Unsupervised Type-Agnostic Deepfake Detection; ;
in IEEE International Conference on Acoustics, Speech and Signal Processing. Proceedings (2023)
2021
Leveraging High-Frequency Components for Deepfake Detection; ;
in IEEE Workshop on Multimedia Signal Processing (2021)
2020
Energy-aware scheduling of malleable HPC applications using a Particle Swarm optimised greedy algorithm.; ;
in Sustainable Computing: Informatics and Systems (2020)
