About me

I obtained a MSc in Computer Science from Cergy-Pontoise University, France, and a MSc in Electronics from the French Engineering School ENSEA both in 2016. I did my last-year internship at Vilmorin-Mikado (Limagrain Group) on computer vision and machine learning applied to maize seed varieties classification and disease detection. I got a Ph.D. in Computer Science (Computer Vision and Deep Learning) at CY Paris University under the supervision of Aymeric Histace (ETIS), David Picard (Ecole des Ponts ParisTech) and Edouard Klein (French National Police Forces).

See my CV

Our rejected paper from ECCV 2020 entitled "Improving Deep Metric Learning with Virtual Classes and Examples Mining" is available on ArXiv.

Pre-print: 1 paper on metric learning and the use of virtual classes

Our paper entitled "DIABLO: Dictionary-based attention block for deep metric learning" (link) has been accepted for publication at Pattern Recognition Letters !

Pattern Recognition Letters: 1 paper on metric learning and dictionary learning

Our paper entitled "Deep Metric Learning with HORDE: High-Order Regularization for Deep Embeddings" (link) has been accepted at ICCV 2019 !

ICCV 2019: 1 paper on metric learning and high-order representations

I successfully defended my PhD the September, 8th, 2020. Both the manuscript and the presentation will be soon available online.

PhD defense