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.

Group News

François Fleuret appointed External Research Fellow of Idiap
institute — May 17, 2021

After spending almost 13 years with us, François Fleuret is appointed professor at UNIGE. To allow him to maintain his link with our institute and in recognition of his contributions, he is also appointed as an external member researcher of Idiap.

Four new researchers join the effort to shape the future of AI
institute — Feb 26, 2021

Idiap is developing its research capacities by hiring four new senior researchers. Two women and two men, whose goal will be to work on topics with great potential in AI and to continue to progress in areas that have already contributed to the reputation of the institute.

Group Job Openings

Several Openings for Cross-Disciplinary Senior Researcher positions by admin — last modified Mar 01, 2021
With the growth of the institute, in addition to increased Federal funding to further support its activities, Idiap is opening several additional permanent senior research scientist positions.

Current Group Members

The group is leaded by Damien Teney.

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  • CANÉVET, Olivier
  • CHAVDAROVA, Tatjana
  • DUBOUT, Charles
  • JOSE, Cijo
  • LEFAKIS, Leonidas
  • LEFORT, Riwal
  • NEWLING, James
  • PENG, Xiaojiang
  • ROSSIER, Alain (Loris)

Current Projects

Recent Projects