Section: Dissemination

Teaching - Supervision - Juries

Teaching

• Licence: Laurent Amsaleg & Teddy Furon, Indexation multimédia, 10h, L3-cours invité, ENS Rennes, France

• Licence: Laurent Amsaleg, Bases de données avancées, 2h, L3-option génie mathématique, INSA Rennes, France

• Licence: Guillaume Gravier, Databases, 30h, L2, INSA Rennes, France

• Licence: Guillaume Gravier, Probability and statistics, 16h, L3, INSA Rennes, France

• Licence: Guillaume Gravier, Natural Language Processing, 12h, L3 & M1, INSA Rennes, France

• Licence: Pascale Sébillot, Natural Language Processing, 10h, L3, INSA Rennes, France

• Master: Laurent Amsaleg, Bases de données avancées, 25h, M2, INSA Rennes, France

• Master: Guillaume Gravier, Data analysis and probabilistic modeling, 30h, M2, University Rennes 1, France

• Master: Pascale Sébillot, Natural Language Processing, 6h, M1, INSA Rennes, France

• Master: Yannis Avrithis, Deep learning for vision, 20h, M2 SIF, France

• Master: Yannis Avrithis, Computer vision, 30h, National and Kapodistrian University of Athens, Greece

• Master : Simon Malinowski, Predictive analytics, 48h, M1 MIAGE, Univ. Rennes 1

• Master : Simon Malinowski, Machine Learning, 32h, M2 MIAGE, Univ. Rennes 1

• Master : Simon Malinowski, Symbolic data mining, 12h, M2 MIAGE, Univ. Rennes 1

• Engineering school: Vincent Claveau, Machine Learning, 18h, 3rd year, INSA Rennes, France

• Master: Vincent Claveau, Information Retrieval, 10h, M2 MIAGE, Univ. Rennes, France

• Master: Ewa Kijak, Image processing, 55h, M1, ESIR, France

• Master: Ewa Kijak, Supervised machine learning, 21h, M2R, University Rennes 1, France

• Master: Ewa Kijak, Supervised machine learning, 15h, M2, University Rennes 1, France

• Master: Ewa Kijak, Image classification, 45h, M1, ESIR, France

• Master: Ewa Kijak, Image indexing, 17h, M2, University Rennes 1, France

• Master: Ewa Kijak, Computer vision, 22h, M2, ESIR, France

• Master: Teddy Furon, Rare Events, 20h, M2, Insa Rennes, France

Supervision

• PhD in progress: Mathieu Laroze, Active learning on adaptive representations for object detection in high-resolution imaging, June 2016, Romain Dambreville, Chloe Friguet, Ewa Kijak & Sébastien Lefevre (with OBELIX, IRISA team)

• PhD in progress: Hanwei Zhang, Deep Learning in Adversarial Contexts, October 2017, Laurent Amsaleg, Yannis Avrithis, Teddy Furon & Ewa Kijak

• PhD in progress: Marzieh Gheisari Khorasgani, Secure identification in the Internet of Things, January 2018, Laurent Amsaleg & Teddy Furon

• PhD in progress: Antoine Perquin, Universal speech synthesis through embeddings of massive heterogeneous data, October 2017, Laurent Amsaleg, Gwénolé Lecorvé & Damien Lolive (with Expression, IRISA team)

• PhD in progress: Benoit Bonnet, Adversarial images, November 2019, Teddy Furon & Patrick Bas

• PhD in progress: Tong Xue, Visualization and collaborative analysis of document collections and extracted knowledge for data journalism, October 2018, Laurent Amsaleg & Anastasia Bezerianos

• PhD in progress: Mikail Demirdelen, User-adapted multi-document multimedia synthesis, started October 2016, Guillaume Gravier and Pascale Sébillot

• PhD in progress: Cheikh Brahim El Vaigh, Incremental content to data linking leveraging ontological knowledge in data journalism, started October 2017, Guillaume Gravier, Pascale Sébillot and François Goasdoué (with CEDAR, Inria team)

• PhD in progress: Cyrielle Mallart, Incremental dynamic construction of knowledge graphs from text mining, started December 2018, Guillaume Gravier, Michel Le Nouy (Ouest-France), Pascale Sébillot

• PhD in progress: François Torregrossa, Heterogeneous data embedding for professional search, started November 2018, Robin Allessiardo (So Local), Vincent Claveau, Guillaume Gravier

• PhD in progress: Oriane Siméoni, Invariance and supervision in visual learning, started October 2016, Yannis Avrithis & Guillaume Gravier

• PhD in progress: Yann Lifchitz, Few shot learning for object recognition in aerial images. Started March 2018, Yannis Avrithis & Sylvaine Picard (Safran Tech).

• PhD in progress: Zhaohui Yang, learning visual models with minimal human supervision, started January 2018, Miaojing Shi & Yannis Avrithis & Chao Xu (Peking University, Beijing)

• PhD in progress: Raquel Almeida, Learning hierarchichal models for multimedia data, started January 2019, Ewa Kijak & Simon Malinowski & Laurent Amsaleg

• PhD defended: Cédric Maigrot, Détection de fausses informations dans les réseaux sociaux, defended April 2019, Laurent Amsaleg, Vincent Claveau & Ewa Kijak. See [1].

• PhD defended: Ricardo Carlini-Sperandio, Unsupervised motif mining in multimedia time series, defended December 2019, Laurent Amsaleg.

Juries

• Guillaume Gravier was involved in the following juries:

  • PhD Eloi Zabrocki, Paris-Sorbonne Université, Nov. 2019, reviewer

  • HDR Benoît Favre, Aix-Marseille Université, Nov. 2019, reviewer

• Pascale Sébillot was involved in the following juries:

  • HDR Natalia Grabar, Université Paris-Saclay, May 2019, member

• Vincent Claveau was reviewer for the mid-term PhD auditions of: Ygor Gallina (LS2N), Tsanta Randriatsitohaina (LIMSI), Oussama Ahmia (IRISA), Hyun Jung Kang (MoDyCo)

• Vincent Claveau was a member of the PhD jury of C. Artaud (Univ. La Rochelle)

• Teddy Furon was reviewer for the mid-term PhD auditions of: Alexandre Sablayrolles (Inria Grenoble - Facebook FAIR), Solène Bernard (CRIStAL Lille)

• Teddy Furon was a member of the PhD jury of Clément Feutry (CentraleSupelec Paris).