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, Probability and statistics, 16h, L3, INSA Rennes, France

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

• Engineering school: Vincent Claveau, Machine Learning, 16h, 3rd year, INSA Rennes, France

• Engineering school: Vincent Claveau, Information Retrieval, 10h, 3rd year, ENSSAT Lannion, France

• Master: Vincent Claveau, Information Retrieval, 10h, M2 MIAGE, Univ. 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: Simon Malinowski, Méthodes de prédiction, 32h, M2 Miage, Univ. Rennes

• Master: Simon Malinowski, Apprentissage automatique, 24h, M2 Miage, Univ. Rennes

• Master: Simon Malinowski, Fouille de données symboliques, 12h, M2 Miage, Univ. Rennes

• Master: Christian Raymond, Dialogue, 4H, M2 SIF, Univ. Rennes

• Master: Ewa Kijak, Image processing, 67h, M1, ESIR, France

• Master: Ewa Kijak, Supervised machine learning, 15h, 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, Indexing and multimedia databases, 15h, M2, ENSSAT, France

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

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

• Master: Teddy Furon, Rare event simulations, 20h, M2 option génie mathématique, INSA, France

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

Supervision

• 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: Cédric Maigrot, Détection de fausses informations dans les réseaux sociaux, October 2015, Laurent Amsaleg, Vincent Claveau & Ewa Kijak

• PhD in progress: Ricardo Carlini-Sperandio, Unsupervised motif mining in multimedia time series, August 2015, Laurent Amsaleg & Guillaume Gravier

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

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

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

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

• PhD in progress: Cyrielle Mallart, Incremental dynamic construction of knowledge bases from text mining, started Dec. 2018, Guillaume Gravier & Pascale Sébillot (with Ouest-France)

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

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

• PhD in progress: Feng Xiong, Perception and self-learning of service robot in dynamic scenarios. Nov. 2019, Miaojing Shi & Qijun Chen (Tongji University, Shanghai)

• PhD in progress: Yann Lifchitz, Few shot learning for object recognition in aerial images. Started Mar. 2018, Yannis Avrithis, Sylvaine Picard (Safran) and Andrei Bursuc (Valeo).

Juries

• Laurent Amsaleg

  • PhD, reviewer, André Belchior Mourão, Towards an Architecture for Efficient Distributed Search of Multimodal Information, Universidade Nova de Lisboa, April 2018.

• Ewa Kijak

  • PhD, member, Himalaya Jain, Learning compact representations for large scale image search, University Rennes 1, June 2018.

• Guillaume Gravier

  • HDR, reviewer, Anthony Larcher, Le Mans Université, Déc. 2018.

  • PhD, reviewer, Sébastien Delecraz, Aix-Marseille Université, Dec. 2018.

• Teddy Furon

  • PhD, member, Dimche Kostadinov, Nonlinear Transform Learning: Model, Applications, and Algorithms

• Pascale Sébillot

  • PhD, member, Alexandre Bérard, Université Grenoble Alpes, June 2018.

  • PhD, president, Caroline Langlet, Télécom ParisTech, Sept. 2018.

• Vincent Claveau was reviewer for the mid-term PhD auditions of Anna Koroleva, LIMSI, Christopher Norman, LIMSI, Zheng Zhang, LIMSI.