I am PhD student at Le Cnam (in Paris) in deep learning supervised by Nicolas Thome (Sorbonne Université), Nicolas Audebert (Le Cnam) and Clément Rambour (Le Cnam). My thesis is co-financed by Coexya and my industrial supervisor is Xavier Bitot. I use deep learning for Context Based Image Retrieval. I have started my PhD in January 2021 and it will end in January 2024. I have published two projects, ROADMAP at NeurIPS 2021 and HAPPIER at ECCV 2022.
- I am going to present our ECCV 2022 paper HAPPIER the 25th of October in Tel Aviv.
Ramzi, E., Thome, N., Rambour, C., Audebert, N., Bitot, X.: Robust and decomposable average precision for image retrieval. Advances in Neural Information Processing Systems 35 (2021).
Ramzi, E., Audebert, N., Thome, N., Rambour, C., Bitot, X.: RHierarchical Average Precision Training for Pertinent Image Retrieval. In: European Conference on Computer Vision. Springer (2022).