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Francois Fleuret
First name(s): Francois
Last name(s): Fleuret

Keywords:


Publications of Francois Fleuret sorted by title
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Steerable Features for Statistical 3D Dendrite Detection, German Gonzalez, Francois Aguet, Francois Fleuret, Michael Unser and Pascal Fua, in: Proceedings of the International Conference on Medical Image Computing and Computer Assisted Intervention, 2009
Stochastic Variance Reduced Gradient Optimization of Generative Adversarial Networks, Tatjana Chavdarova, Sebastian Stich, Martin Jaggi and Francois Fleuret, in: International Conference on Machine Learning (ICML) workshop on Theoretical Foundations and Applications of Deep Generative Models, 2018

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Tasting Families of Features for Image Classification, Charles Dubout and Francois Fleuret, in: International Conference on Computer Vision, 2011
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Test time Adaptation through Perturbation Robustness, Prabhu Teja Sivaprasad and Francois Fleuret, in: Workshop on Distribution Shifts, 35th Conference on Neural Information Processing Systems (NeurIPS 2021), 2021
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The MASH Project, Francois Fleuret, Philip Abbet, Charles Dubout and Leonidas Lefakis, in: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2011
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Tracking Interacting Objects Optimally Using Integer Programming, Xinchao Wang, Engin Turetken, Francois Fleuret and Pascal Fua, in: Proceedings of the European Conference on Computer Vision, pages 17-32, 2014
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Tracking Interacting Objects Using Intertwined Flows, Xinchao Wang, Engin Turetken, Francois Fleuret and Pascal Fua, in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016
Tracking Multiple Objects under Global Appearance Constraints, Horesh Ben Shitrit, Jerome Berclaz, Francois Fleuret and Pascal Fua, in: Proceedings of the IEEE International Conference on Computer Vision, 2011

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treeKL: A distance between high dimension empirical distributions, Riwal Lefort and Francois Fleuret, in: Pattern Recognition Letters, 34(2):140-145, 2013
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Uncertainty Reduction for Model Adaptation in Semantic Segmentation, Prabhu Teja Sivaprasad and Francois Fleuret, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
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Weakly Supervised Learning of Deep Metrics for Stereo Reconstruction, Stepan Tulyakov, Anton Ivanov and Francois Fleuret, in: Proceedings of the IEEE International Conference on Computer Vision, 2017
WILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection, Tatjana Chavdarova, Pierre Baqué, Andrii Maksai, Stéphane Bouquet, Cijo Jose, Louis Lettry, Francois Fleuret, Pascal Fua and Luc Van Gool, in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition, Salt Lake City, UT, pages 5030-5039, 2018
[DOI]
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