News

Efficient Anomaly Detection Using Self-Supervised Multi-Cue Tasks

Very happy to announce that our last effort for developing Deep-Based Efficient Anomaly Detection Methods in the context of Loïc Jezequel’s PhD and IDEMIA collaboration has been accepted for publication in IEEE Transactions on Image Processing!

L. Jézéquel, N. -S. Vu, J. Beaudet and A. Histace, “Efficient Anomaly Detection Using Self-Supervised Multi-Cue Tasks,” in IEEE Transactions on Image Processing, vol. 32, pp. 807-821, 2023, doi: 10.1109/TIP.2022.3231532.

All details here https://ieeexplore.ieee.org/document/10012327 and here https://arxiv.org/abs/2111.12379

Other news

Congratulations to Kawthar Berjawi, Abdelhamid Ladaycia and Inbar Fijalkow for their Best Paper Award in the 2026 edition …

Lors de la conférence 2026 IEEE International Conference on Development and Learning (ICDL) à Kyoto, au Japon (15-18/09/26), …

Congratulations to Mai K. Nguyen for her Best Paper Award in the “Continual Learning in Medical Multimodal-Vision” category …

Félicitations à Raphaël D’Urso, doctorant en intelligence artificielle et robotique au sein de l’équipe Neurocybernetics du laboratoire ETIS, …