Advising

Nicolas Michel (PhD)

• Subject: Classification active multimodale - Application à l’analyse de vidéos YouTube pour les sciences sociales computationnelles

• Period: Jan. 2021 - Dec. 2023

• Project: ANR APY

• Co-advisors: Jean-François Bercher (LIGM/ESIEE) et Giovanni Chierchia (LIGM/ESIEE)

Yacine Ben-Atia (PhD)

• Subject: Coopération, optimisation et IA pour les communications du futur

• Period: Oct. 2020 - Sep. 2023

• Co-advisors: E. Veronica Belmega (LIGM/ESIEE) et Anne Savard (IMT Nord Europe)

Thomas Luka (PhD) 

• Subject: Apprentissage non-supervisé de représentations cross-modales

• Period: 2019 - 2023

• Co-advisor: David Picard (IMAGINE/LIGM, École des Ponts ParisTech)

Gabriel Fonseca (PhD)

• Subject: Learning on seed location for improving supervised hierarchical graph-based video segmentation

• Period: 2018 - 2023

• Co-advisors: Silvio Jamil F. Guimarães (VIPLAB/PUC Minas), Jean Cousty (LIGM/ESIEE) et Benjamin Perret (LIGM/ESIEE)

Stephen Somsack (M. Sc. internship)

• Period: Jun. 2020 - Aug. 2020

• Subject: Machine learning for future communications

• Formation: IMT Lille Douai

• Co-advisor: Anne Savard (IMT Lille Douai)

Alexis Perrier (Research Engineers)

• Period: Jun. 2020 - Jul.. 2020

• Subject: Indexation automatique de vidéo pour l’étude sociologie de Youtube

• Project: I-SITE FUTURE - AAP "exploratoire" 2019

• Co-advisor: Bilel Benbouzid (LISIS)

Austin Wang (undergrad summer internship)

• Subject: May. 2017 - Aug. 2017

• Sujet: A Comparative Study of Local Visual Descriptors

• Formation: Massachusetts Institute of Technology (MIT) - Computer Science and Engineering