I am a PhD Student at CEDRIC (CNAM) and valeo.ai, under the supervision of Nicolas Thome and Patrick Pérez. My research interests include uncertainty estimation, robustness, heterogeneous and multimodal data analysis in computer vision and autonomous driving applications. Previously, I worked as a Computer Vision Engineer at Earthcube and beforehand as a Research Intern at Heuritech. I graduated from Master 2 Data Sciences at Université Paris-Scalay in 2017 and I obtained a Master’s degree in Computer Science from Ecole Centrale de Lille in 2016.
Code for ConfidNet is now available at https://github.com/valeoai/ConfidNet .
Our paper Addressing Failure Prediction by Learning Model Confidence has been accepted at NeurIPS 2019;
I presented our paper Leveraging Weakly Annotated Data for Fashion Image Retrieval and LabelPrediction written during my research internship at Heuritech at Computer Vision for Fashion Worskhop at ICCV 2017.