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 Adjunct Professor)
- website


SIVAPRASAD, Prabhu (Teja)
(Research Assistant)
- website


COURDIER, Evann
(Research Assistant)
- website


KATHAROPOULOS, Angelos
(Research Assistant)
- website


CHAVDAROVA, Tatjana
(Research Assistant)
- website


SRINIVAS, Suraj
(Research Assistant)
- website


Alumni

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

Current Projects

Recent Projects

Group News

PhD in machine learning for air traffic control
research — Jul 22, 2019

The Idiap Research Institute invites applications for one PhD position in machine learning for air traffic control at the Idiap Research Institute and École Polytechnique Fédérale de Lausanne (EPFL).

Idiap has a new opening for two PhD positions in Deep Learning
education — May 17, 2018

The Machine Learning group at the Idiap Research Institute, affiliated with École Polytechnique Fédérale de Lausanne, seeks two PhD students in deep learning to work respectively on real-time inference in low-computation environment, and transfer learning for semantic segmentation, starting as early as possible.

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.