essai

Permanent researchers

AMSALEG Laurent Team leader CNRS, Senior Researcher, HDR >> web page	AVRITHIS Yannis Inria, Advanced Research Position, HDR >> web page	CLAVEAU Vincent CNRS, Researcher, HDR >> web page
FURON Teddy Inria, Researcher, HDR >> web page	GRAVIER Guillaume CNRS, Senior Researcher, HDR >> web page	KIJAK Ewa Univ. Rennes 1, Associate Professor >> web page
MALINOWSKI Simon Univ. Rennes 1, Associate Professor >> web page	SEBILLOT Pascale INSA Rennes, Professor, HDR >> web page

Administrative assistant

PATIER Aurélie Team assistant Mail: aurelie.patier@inria.fr

Technical staff

 

LE NOE-BIENVENU Guillaume NLP Engineer on the READ-IT project

PhD students

BONNET Benoit In the context of the SAIDA project “…”	CHAFFIN Antoine In collaboration with Imatag “Multimodal fake news detection” >> web page	ENGIN Deniz In collaboration with Interdigital “Semantic multimodal question answering” >> web page
GHEISARI KHORASGANI Marzieh In the context of the ID_IOT project “Secure identification for the Internet of Things”	LIFCHITZ Yann In collaboration with Safran “Representation and adaptation for few-shot image classification”	MAHO Thibault In the context of the SAIDA project “Input space exploration for the security of neural-network models”
MALLART Cyrielle In collaboration with Ouest-France “Construction incrémentale dynamique de graphes de connaissance par fouille de contenus”	NGUYEN Duc Hau In the context of the ANR Archival “Espace multimodal pour la génération et la justification de liens sémantiques entre documents”	PEREIRA DE ALMEIDA Raquel In the context of the ??? “Learning hierarchies for motif discovery in multimedia data”
TAP Samuel In collaboration with Zama and in the context of the SAIDA project “Apprentissage profond et chiffrement homomorphe”	TIT Karim In collaboration with Thales and in the context of the SAIDA project “…”	TORREGROSSA François In collaboration with Solocal “Plongement de données hétérogènes pour la recherche de professionnels.”
VENKATARAMANAN Shashanka In the context of the ANR MEERQAT “Metric learning for instance- and category-level visual representation” >> web page	ZHANG Hanwei PROSFER ECNU-ENS “Deep Learning in Adversarial contexts” >> web page