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

Keywords:


Publications of Francois Fleuret sorted by recency
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Not All Samples Are Created Equal: Deep Learning with Importance Sampling, Angelos Katharopoulos and Francois Fleuret, in: Proceedings of International Conference on Machine Learning, 2018
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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]
SGAN: An Alternative Training of Generative Adversarial Networks, Tatjana Chavdarova and Francois Fleuret, in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition, Salt Lake City, UT, pages 9407-9415, IEEE, 2018
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Deep Multi-Camera People Detection, Tatjana Chavdarova and Francois Fleuret, in: Proceedings of the IEEE International Conference on Machine Learning and Applications, 2017
K-Medoids For K-Means Seeding, James Newling and Francois Fleuret, in: Proceedings of the international conference on Neural Information Processing Systems, 2017
Multi-Modal Mean-Fields via Cardinality-Based Clamping, Pierre Baqué, Francois Fleuret and Pascal Fua, in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition, 2017
Non-Markovian Globally Consistent Multi-Object Tracking, Andrii Maksai, Xinchao Wang, Francois Fleuret and Pascal Fua, in: Proceedings of the IEEE International Conference on Computer Vision, 2017
Deep Occlusion Reasoning for Multi-Camera Multi-Target Detection, Pierre Baqué, Francois Fleuret and Pascal Fua, in: Proceedings of the IEEE International Conference on Computer Vision, 2017
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
Exploratory Study on Direct Prediction of Diabetes using Deep Residual Networks, Samaneh Abbasi-Sureshjani, Behdad Dasht Bozorg, Bart ter Haar Romeny and Francois Fleuret, in: Proceedings of the thematic conference on computational vision and medical image processing, 2017
A Sub-Quadratic Exact Medoid Algorithm, James Newling and Francois Fleuret, in: Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
Nested Mini-Batch K-Means, James Newling and Francois Fleuret, in: Proceedings of NIPS, 2016
Fast K-Means with Accurate Bounds, James Newling and Francois Fleuret, in: Proceedings of the International Conference on Machine Learning (ICML), New York, 2016
Importance Sampling Tree for Large-scale Empirical Expectation, Olivier Canévet, Cijo Jose and Francois Fleuret, in: Proceedings of the International Conference on Machine Learning (ICML), New-York, 2016
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
Principled Parallel Mean-Field Inference for Discrete Random Fields, Pierre Baqué, Timur Bagautdinov, Francois Fleuret and Pascal Fua, in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition, 2016
Large Scale Hard Sample Mining with Monte Carlo Tree Search, Olivier Canévet and Francois Fleuret, in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition, 2016
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Jointly Informative Feature Selection, Leonidas Lefakis and Francois Fleuret, in: Journal of Machine Learning Research, 2016
Kullback-Leibler Proximal Variational Inference, Emtiyaz Khan, Pierre Baqué, Francois Fleuret and Pascal Fua, in: Proceedings of the international conference on Neural Information Processing Systems, pages 3402-3410, 2015
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Probability Occupancy Maps for Occluded Depth Images, Timur Bagautdinov, Francois Fleuret and Pascal Fua, in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition, pages 2829-2837, 2015
Adaptive relevance feedback for large-scale image retrieval, Nicolae Suditu and Francois Fleuret, in: Multimedia Tools and Applications, 75(12):6777-6807, 2016
[DOI]
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