François Fleuret

Picture of Francois Fleuret, March 20th, 2014.

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

I am the head of the Computer Vision and Learning group at the Idiap research institute, and adjunct faculty at the École Polytechnique Fédérale de Lausanne.

My research is supported by the Swiss National Science Foundation, the Hasler Foundation, the Swiss Commission for Technology and Innovation, the Ark foundation, the European Commission, and through direct industrial collaborations.

News

Selected papers

J. Newling and F. Fleuret. Fast k-means with accurate bounds. In Proceedings of the International Conference on Machine Learning (ICML), 2016. To appear. bib · pdf

P. Baqué, T. Bagautdinov, F. Fleuret, and P. Fua. Principled Parallel Mean-Field Inference for Discrete Random Fields. In Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition (CVPR), 2016. To appear. bib · pdf

O. Canévet and F. Fleuret. Large Scale Hard Sample Mining with Monte Carlo Tree Search. In Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition (CVPR), 2016. To appear. bib · pdf

L. Lefakis and F. Fleuret. Jointly Informative Feature Selection. Journal of Machine Learning Research (JMLR), 2016. 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), pages 1548–1556, 2014. bib · pdf

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), pages 17–32, 2014. 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

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

F. Fleuret. Fast Binary Feature Selection with Conditional Mutual Information. Journal of Machine Learning Research (JMLR), 5:1531–1555, 2004. bib · err · pdf

F. Fleuret and D. Geman. Coarse-to-fine Face Detection. International Journal of Computer Vision (IJCV), 41(1/2):85–107, 2001. bib · ps · pdf