Julien Nicolas

CNRS, INSA Lyon, McGill University

在 insa-lyon.fr 的电子邮件经过验证


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning J Nicolas, F Chiaroni, I Ziko, O Ahmad, C Desrosiers, J Dolz arXiv preprint arXiv:2307.05707, 2023	1	2023
On Domain-Incremental Learning methods and its applications to forgery detection J Nicolas École de technologie supérieure, 2023		2023
MP09-18 DEEP LEARNING ALGORITHMS FOR MULTI-REGION BLADDER CANCER SEGMENTATION J Nicolas, K Gumus, SB Jazayeri, DR Gopireddy, J Dolz, M Bandyk The Journal of Urology 209 (Supplement 4), e112, 2023		2023

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