logo Idiap Research Institute        
Francois Fleuret
First name(s): Francois
Last name(s): Fleuret

Keywords:


Publications of Francois Fleuret sorted by title
| 1 | 2 | 3 | 4 |


F

Fast Object Detection with Entropy-Driven Evaluation, Raphael Sznitman, Carlos Becker, Francois Fleuret and Pascal Fua, in: Proceedings of the Conference on Computer Vision and Pattern Recognition, 2013
Fast Transformers with Clustered Attention, Apoorv Vyas, Angelos Katharopoulos and Francois Fleuret, in: Proceedings of the International Conference on Neural Information Processing Systems, 2020
FlowBoost - Appearance Learning from Sparsely Annotated Video, Karim Ali, David Hasler and Francois Fleuret, in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition, 2011
Full-Gradient Representation for Neural Network Visualization, Suraj Srinivas and Francois Fleuret, in: Advances in Neural Information Processing Systems, 2019
[URL]

G

Geodesic Convolutional Shape Optimization, Pierre Baqué, Edoardo Remelli, Francois Fleuret and Pascal Fua, in: Proceedings of the International Conference on Machine Learning, 2018
GeoNeRF: Generalizing NeRF with Geometry Priors, Mohammad Mahdi Johari, Yann Lepoittevin and Francois Fleuret, in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition (CVPR), 2022
attachment
[URL]

H

HEAT: Iterative Relevance Feedback with One Million Images, Nicolae Suditu and Francois Fleuret, in: Proceedings of the IEEE International Conference on Computer Vision, pages 2118-2125, 2011
HyperMixer: An MLP-based Low Cost Alternative to Transformers, Florian Mai, Arnaud Pannatier, Fabio Fehr, Haolin Chen, François Marelli, Francois Fleuret and James Henderson, in: Proc. of the 61st Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics, Toronto, Canada, pages 15632-15654, 2023
attachment
[DOI]

I

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
Inference from Real-World Sparse Measurements, Arnaud Pannatier, Kyle Matoba and Francois Fleuret, in: Transactions on Machine Learning Research, 2024
attachment
Iterative Relevance Feedback with Adaptive Exploration/Exploitation Trade-off, Nicolae Suditu and Francois Fleuret, in: Proceedings of the 21st ACM Conference on Information and Knowledge Management, pages 1323-1331, 2012
attachment

J

Joint Cascade Optimization Using a Product Of Boosted Classifiers, Leonidas Lefakis and Francois Fleuret, in: Proceedings of the Neural Information Processing Systems Conference, pages 1315–1323, 2010
Joint Pose Estimator and Feature Learning for Object Detection, Karim Ali, Francois Fleuret, David Hasler and Pascal Fua, in: Proceedings of the IEEE International Conference on Computer Vision, 2009
Jointly Informative Feature Selection, Leonidas Lefakis and Francois Fleuret, in: International Conference on Artificial Intelligence and Statistics, pages 567–575, 2014
attachment
Jointly Informative Feature Selection, Leonidas Lefakis and Francois Fleuret, in: Journal of Machine Learning Research, 2016

K

K-Medoids For K-Means Seeding, James Newling and Francois Fleuret, in: Proceedings of the international conference on Neural Information Processing Systems, 2017
Knowledge Transfer with Jacobian Matching, Suraj Srinivas and Francois Fleuret, in: Proceedings of the International Conference on Machine Learning, 2018
[URL]
Kronecker Recurrent Units, Cijo Jose, Moustapha Cisse and Francois Fleuret, in: Proceedings of the International Conference on Machine Learning, 2018
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
attachment

L

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
attachment
Learning an event sequence embedding for event-based deep stereo, Stepan Tulyakov, Francois Fleuret, Martin Kiefel, Peter Gehler and Michael Hirsch, in: Proceedings of the IEEE International Conference on Computer Vision, 2019
Learning Rotational Features for Filament Detection, German Gonzalez, Francois Fleuret and Pascal Fua, in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition, 2009
| 1 | 2 | 3 | 4 |