François Fleuret

Picture of Francois Fleuret, March 20th, 2014.

E-mail
francois.fleuret@idiap.ch
Phone
+41 27 721 7739
Address
Idiap Research Institute
Centre du Parc
Rue Marconi, 19
1920 Martigny
Switzerland

I have an open Phd position in multi-camera tracking. Applicants must be self-sufficient programmers, have a strong background in mathematics, and be familiar with applied probabilities, signal processing, algorithmic, and C++ programming. Starting date is immediately.

Please use the on-line application form to upload your CV and additional information.

I am the head of the Computer Vision and Learning group at the Idiap research institute, and faculty at the École Polytechnique Fédérale de Lausanne. My research is supported by the Swiss National Science Foundation, the Hasler Foundation, and the European Commission.

News

Selected papers

X. Wang, E. Turetken, F. Fleuret, and P. Fua. Tracking Interacting Objects Optimally Using Integer Programming. In Proceedings of the European Conference on Computer Vision (ECCV), 2014. To appear. bib · pdf

L. Lefakis and F. Fleuret. Dynamic Programming Boosting for Discriminative Macro-Action Discovery. In Proceedings of the International Conference on Machine Learning (ICML), 2014. To appear. bib · pdf

C. Dubout and F. Fleuret. Adaptive Sampling for Large Scale Boosting. Journal of Machine Learning Research (JMLR), 15:1431-1453, 2014. bib · pdf

F. Fleuret, H. Ben Shitrit, and P. Fua. Re-Identification for Improved People Tracking. In S. Gong, M. Cristani, Y. Shuicheng, and C. C. Loy, editors, Person Re-Identification, pages 311-336. Springer, 2014. bib · pdf

L. Lefakis and F. Fleuret. Jointly Informative Feature Selection. In Proceedings of the international conference on Artificial Intelligence and Statistics (AISTATS), pages 567-575, 2014. bib · pdf

L. Lefakis and F. Fleuret. Reservoir Boosting : Between Online and Offline Ensemble Learning. In Proceedings of the international conference on Neural Information Processing Systems (NIPS), pages 1412-1420, 2013. bib · pdf

C. Dubout and F. Fleuret. Exact Acceleration of Linear Object Detectors. In Proceedings of the European Conference on Computer Vision (ECCV), pages 301-311, 2012. bib · pdf

F. Fleuret, T. Li, C. Dubout, E. K. Wampler, S. Yantis, and D. Geman. Comparing machines and humans on a visual categorization test. Proceedings of the National Academy of Sciences (PNAS), 108(43):17621-17625, 2011. bib · pdf

F. Fleuret and D. Geman. Stationary Features and Cat Detection. Journal of Machine Learning Research (JMLR), 9:2549-2578, 2008. bib · pdf