François Fleuret

Picture of Francois Fleuret, March 20th, 2014.

E-mail
francois.fleuret@idiap.ch (pgp key)
Offices
Idiap 309 / EPFL ELE131
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

L. Lefakis and F. Fleuret. Jointly Informative Feature Selection Made Tractable by Gaussian Modeling. Journal of Machine Learning Research (JMLR), 17(182):1–39, 2016. bib · pdf

F. Fleuret. Predicting the dynamics of 2d objects with a deep residual network. CoRR, abs/1610.04032, 2016. bib · pdf

J. Newling and F. Fleuret. Fast mini-batch k-means by nesting. In Proceedings of the international conference on Neural Information Processing Systems (NIPS), 2016. To appear. bib · pdf

C. Jose and F. Fleuret. Scalable Metric Learning via Weighted Approximate Rank Component Analysis. In Proceedings of the European Conference on Computer Vision (ECCV), 2016. To appear. bib · pdf

O. Canévet, C. Jose, and F. Fleuret. Importance Sampling Tree for Large-scale Empirical Expectation. In Proceedings of the International Conference on Machine Learning (ICML), pages 1454–1462, 2016. 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

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, 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 · 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