Section: Dissemination

Teaching - Supervision - Juries

Teaching

• Masters

  • Blaschko, Matthew:

    • Master: Neural Information Processing, Spring, Ecole CentraleSupelec Paris, FR

  • Kokkinos, Iasonas

    • Master: Machine Learning for Computer Vision, 24, M2, Ecole Normale Superieure-Cachan, FR

    • Master: Introduction to Deep Learning, 24, M2, CentraleSupélec , FR

    • Master: Introduction to Signal Processing, 36, M1, CentraleSupélec , FR

Supervision

• PhD in progress : Eugene Belilovsky, Structured Output Prediction on Large Scale Neuroscience Data, Universite Paris-Saclay & KU Leuven, 2014-2017, M. Blaschko

• PhD in progress : Jiaqian Yu, Structured Prediction Methods for Computer Vision and Medical Imaging, Universite Paris-Saclay, 2014-2017, M. Blaschko

• PhD in progress : Wacha Bounliphone, Statistical tools for Imaging-Genetics data integration, 2013-2016, Universite Paris-Saclay & KU Leuven, M. Blaschko & A. Tenenhaus

• PhD in progress : Amal Rannen, Deep Neural Networks for OCT image analysis, Yonsei University & KU Leuven, M. Blaschko & Y.M. Jung

• PhD in progress : Jose Ignacio Orlando, Computer assisted fundus image analysis for eye disease detection, Universidad Nacional del Centro de la Provincia de Buenos Aires, M. Blaschko & M. del Fresno

• PhD in progress : Puneet Kumar Dokania, Learning to Rank with Missing and High-Order Information, 2012-2015, M. Pawan Kumar

• PhD in progress : Diane Bouchacourt, Large Scale Diverse Learning for Structured Output Prediction, 2014-2017, M. Pawan Kumar

• PhD in progress: Haithem Boussaid, Efficient Inference and Learning in Graphical Models for Multi-organ Shape Segmentation, 2011-2015, I. Kokkinos

• PhD in progress: Stavros Tsogkas, Learning structured mid-level representations for object recognition, 2011-2015, I. Kokkinos

• PhD in progress: Siddhartha Chandra, Efficient Learning and Optimization for 3D Visual Data, 2013-2016, I. Kokkinos, Pawan Kumar

• PhD in progress: Stefan Kinauer, Surface-based representations for high-level vision tasks, 2013-2016, I. Kokkinos.

• PhD in progress: Alp Guler, Learning 3D representations for high-level vision, 2016-2018, I. Kokkinos.

• PhD in progress : Stavros Alchatzidis, Message Passing Methods, Parallel Architectures & Visual Processing, 2011-2014, Nikos Paragios

• PhD in progress : Enzo Ferrante, 2D-to-3D Multi-Modal Deformable Image Fusion, 2012-2015, N. Paragios

• PhD in progress : Vivien Fecamp, Linear-Deformable Multi-Modal Deformable Image Fusion, 2012-2015, N. Paragios

• PhD in progress : Evgenios Kornaropoulos, Diffusion Coefficient: a novel computer aided bio-marker, 2013-2016, N. Paragios

• PhD in progress : Maxim Berman, Learning Higher Order Graphical Models, 2014-2017, N. Paragios, I. Kokkinos

• PhD in progress : Hariprasad Kannan, Efficient Inference on Higher Order Graphs, 2014-2017, N. Paragios

• PhD in progress : Huu Dien Khue Le, Graph-based Visual Perception : Theories and Applications, 2014-2017, N. Paragios

Juries

• Matthew Blaschko

  • Grant Reviewing Services: European Research Council (ERC), The French National Research Agency (ANR).

• Iasonas Kokkinos

  • PhD Thesis Participation: Matteusz Kozinski, Ecole des Ponts ParisTech (PhD).

• Paragios, Nikos

  • PhD Thesis Participation

  • Grant Reviewing Services