Machine learning

The goal of our group is the development of new statistical learning techniques mainly for computer vision, with a particular interest in their computational properties. Our application domains include object detection and scene analysis, tracking of people and biological structures, and image recognition in general.

Video Presentation

Current Group Members

FLEURET, François
(Senior Researcher, EPFL Maître d'enseignement et de recherche)
- website


PENG, Xiaojiang
(Postdoctoral Researcher)
- website


LEPOITTEVIN, Yann
(Postdoctoral Researcher)
- website


CHAVDAROVA, Tatjana
(Research Assistant)
- website


KATHAROPOULOS, Angelos
(Research Assistant)
- website


SRINIVAS, Suraj
(Research Assistant)
- website


JOSE, Cijo
(Research Assistant)
- website


NEWLING, James
(Research Assistant)
- website


Alumni

  • CANÉVET, Olivier
  • DUBOUT, Charles
  • LEFAKIS, Leonidas
  • LEFORT, Riwal
  • PENEDONES FERNANDES, Hugo Augusto

Current Projects

Recent Projects

Group News

Idiap has a new opening for 2 PhD positions in machine learning
education — Sep 26, 2016

The Idiap Research Institute, affiliated with École Polytechnique Fédérale de Lausanne, seeks two PhD students in machine learning to develop new techniques to speed up the training of deep architectures using importance sampling, and to learn automatically network architectures from data. The starting date is early 2017.