Information about the internship
- Laurence Likforman-Sulem, Attilio Fiandrotti, Département IDS, IP de Paris/Telecom Paris
- Victoria Eyharabide, STIH Laboratory, Sorbonne Université
- Location: Maison de la recherche, Sorbonne Université - 28 rue Serpente, 75006 Paris.
- Duration: 12 months (starting preferably on April 2022)
Byzantine seals are small circular objects (10-50 mm) used to identify the sender of letters. They carry a large part of the knowledge on the administration and the Byzantine aristocracy, but also on the cult of the saints. The seals are made of lead and have undergone alterations over time. As a result, characters may be damaged or even erased. The objective of this internship is to develop deep learning type approaches for the recognition and localization of objects and characters on seals.
We can consider deep learning architectures (FCOS, U-Nets) to propose regions of interest corresponding to the characters in the images, as well as their label (iconic object, or character). This corresponds to jointly trained end-to-end regression and classification tasks. We will use a transfer learning approach, using pre-trained networks. Then, we will develop an approach based on transformers to label a sequence of characters, from character regions.
This research will be developed within the framework of the ANR BHAI project, grant number ANR-21-CE38-0001 https://anr.fr/Project-ANR-21-CE38-0001. The candidate will work in Paris, at Sorbonne University (V. Eyharabide), in close collaboration with Telecom Paris (L. Likforman and A. Fiandrotti).
Applicants should send an email to Victoria Eyharabide (email@example.com) and Laurence Likforman-Sulem (Laurence.firstname.lastname@example.org) with:
- A full curriculum vitae including a complete list of publications
- A transcript of higher education records
- A one-page research statement discussing how the candidate's background fits the proposed topic
- Two support letters of persons that have worked with them.