François Fleuret

发表

Non-Mercer Kernels for SVM Object Recognition

Jean-Philippe Tarel, Sabri Boughorbel, François Fleuret, 2004, BMVC.

Adaptive sampling for large scale boosting

François Fleuret, Charles Dubout, 2014, J. Mach. Learn. Res..

Ieee Transactions on Pattern Analysis and Machine Intelligence 1 Multiple Object Tracking Using K-shortest Paths Optimization

Pascal Fua, François Fleuret, Engin Türetken, 2022 .

A provably convergent alternating minimization method for mean field inference pdf

Pascal Fua, François Fleuret, Jean-Hubert Hours, 2015, ArXiv.

treeKL: A distance between high dimension empirical distributions

François Fleuret, Riwal Lefort, F. Fleuret, 2013, Pattern Recognit. Lett..

Social Scene Understanding: End-to-End Multi-person Action Localization and Collective Activity Recognition

Silvio Savarese, Pascal Fua, François Fleuret, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Importance Sampling Tree for Large-scale Empirical Expectation

François Fleuret, Olivier Canévet, Cijo Jose, 2016, ICML.

Machine learning techniques to analyse complex, computer vision-extracted, dynamic cellular phenotypes

Kevin Smith, François Fleuret, Riwal Lefort, 2011 .

Semi-supervised learning of deep metrics for stereo reconstruction pdf

François Fleuret, Anton Ivanov, Stepan Tulyakov, 2016, ArXiv.

Predicting the dynamics of 2d objects with a deep residual network pdf

François Fleuret, 2016, ArXiv.

Fixed point probability field for complex occlusion handling

Pascal Fua, François Fleuret, Richard Lengagne, 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

Boosted Exudate Segmentation in Retinal Images Using Residual Nets

Samaneh Abbasi-Sureshjani, Bart M. ter Haar Romeny, François Fleuret, 2017, FIFI/OMIA@MICCAI.

Graded Learning for Object Detection

Donald Geman, François Fleuret, 1999 .

WILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection

Luc Van Gool, Pascal Fua, Tatjana Chavdarova, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Efficient Sample Mining for Object Detection

François Fleuret, Olivier Canévet, 2014, ACML.

Reducing Noise in GAN Training with Variance Reduced Extragradient

Tatjana Chavdarova, François Fleuret, Gauthier Gidel, 2019, NeurIPS.

Probability occupancy maps for occluded depth images

Pascal Fua, François Fleuret, Timur M. Bagautdinov, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Occam's hammer: a link between randomized learning and multiple testing FDR control pdf

Gilles Blanchard, François Fleuret, 2006, ArXiv.

Scalable Metric Learning via Weighted Approximate Rank Component Analysis

François Fleuret, Cijo Jose, 2016, ECCV.

Theoretical properties of functional Multi Layer Perceptrons

François Fleuret, Fabrice Rossi, Brieuc Conan-Guez, 2002, ESANN.

Practical Deep Stereo (PDS): Toward applications-friendly deep stereo matching

François Fleuret, Anton Ivanov, Stepan Tulyakov, 2018, NeurIPS.

Tracking multiple people under global appearance constraints

Pascal Fua, François Fleuret, Jérôme Berclaz, 2011, 2011 International Conference on Computer Vision.

Sample Distillation for Object Detection and Image Classification

François Fleuret, Olivier Canévet, Leonidas Lefakis, 2014, ACML.

Large Scale Hard Sample Mining with Monte Carlo Tree Search

François Fleuret, Olivier Canévet, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Knowledge Transfer with Jacobian Matching pdf

François Fleuret, Suraj Srinivas, F. Fleuret, 2018, ICML.

SGAN: An Alternative Training of Generative Adversarial Networks

Tatjana Chavdarova, François Fleuret, F. Fleuret, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Weakly Supervised Learning of Deep Metrics for Stereo Reconstruction

François Fleuret, Anton Ivanov, Stepan Tulyakov, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Feature Harvesting for Tracking-by-Detection

Vincent Lepetit, Pascal Fua, François Fleuret, 2006, ECCV.

Non-Markovian Globally Consistent Multi-object Tracking

Pascal Fua, François Fleuret, Xinchao Wang, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Nested Mini-Batch K-Means

François Fleuret, James Newling, F. Fleuret, 2016, NIPS.

Multi-modal Mean-Fields via Cardinality-Based Clamping

Pascal Fua, François Fleuret, Pierre Baqué, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Joint pose estimator and feature learning for object detection

Pascal Fua, François Fleuret, David Hasler, 2009, 2009 IEEE 12th International Conference on Computer Vision.

The MASH Project

François Fleuret, Charles Dubout, Leonidas Lefakis, 2011, ECML/PKDD.

Jointly Informative Feature Selection

François Fleuret, Leonidas Lefakis, 2014, AISTATS.

Learning rotational features for filament detection

Pascal Fua, François Fleuret, Germán González, 2009, CVPR.

Joint Cascade Optimization Using A Product Of Boosted Classifiers

François Fleuret, Leonidas Lefakis, 2010, NIPS.

Rotational Features Extraction for Ridge Detection

Pascal Fua, Michael Unser, François Fleuret, 2011 .

Re-identification for Improved People Tracking

Pascal Fua, François Fleuret, Horesh Ben Shitrit, 2014, Person Re-Identification.

Tasting families of features for image classification

François Fleuret, Charles Dubout, F. Fleuret, 2011, 2011 International Conference on Computer Vision.

LETHA: Learning from High Quality Inputs for 3D Pose Estimation in Low Quality Images

Francesc Moreno-Noguer, Juan Andrade-Cetto, François Fleuret, 2014, 2014 2nd International Conference on 3D Vision.

Improving Object Classification using Pose Information

François Fleuret, Ronan Collobert, David Grangier, 2012 .

Coarse-to-Fine Face Detection

Donald Geman, François Fleuret, D. Geman, 2004, International Journal of Computer Vision.

FlowBoost — Appearance learning from sparsely annotated video

François Fleuret, David Hasler, Karim Ali, 2011, CVPR 2011.

Iterative relevance feedback with adaptive exploration/exploitation trade-off

François Fleuret, Nicolae Suditu, 2012, CIKM '12.

Delineating trees in noisy 2D images and 3D image-stacks

Pascal Fua, François Fleuret, Germán González, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Kronecker Recurrent Units

Moustapha Cissé, François Fleuret, Cijo Jose, 2017, ICML.

Fast face detection with precise pose estimation

Donald Geman, François Fleuret, D. Geman, 2002, Object recognition supported by user interaction for service robots.

Biased Importance Sampling for Deep Neural Network Training pdf

François Fleuret, Angelos Katharopoulos, F. Fleuret, 2017, ArXiv.

Real-Time Segmentation Networks should be Latency Aware

François Fleuret, Evann Courdier, 2020 .

K-Medoids For K-Means Seeding

François Fleuret, James Newling, F. Fleuret, 2016, NIPS.

DEA: An Architecture for Goal Planning and Classification

François Fleuret, Eric Brunet, F. Fleuret, 2000, Neural Computation.

Dynamic Programming Boosting for Discriminative Macro-Action Discovery

François Fleuret, Leonidas Lefakis, F. Fleuret, 2014, ICML.

HEAT: Iterative relevance feedback with one million images

François Fleuret, Nicolae Suditu, 2011, 2011 International Conference on Computer Vision.

Fast Mini-Batch K-Means by Nesting

François Fleuret, James Newling, F. Fleuret, 2016 .

A Bayesian kernel for the prediction of neuron properties from binary gene profiles

Wulfram Gerstner, François Fleuret, W. Gerstner, 2005, Fourth International Conference on Machine Learning and Applications (ICMLA'05).

A Real-Time Deformable Detector

Pascal Fua, François Fleuret, David Hasler, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Principled Detection-by-Classification From Multiple Views

Pascal Fua, François Fleuret, Jérôme Berclaz, 2008, VISAPP.

Not All Samples Are Created Equal: Deep Learning with Importance Sampling

François Fleuret, Angelos Katharopoulos, F. Fleuret, 2018, ICML.

Globally Consistent Multi-People Tracking using Motion Patterns pdf

Pascal Fua, François Fleuret, Xinchao Wang, 2016, ArXiv.

Macro-action Discovery Based on Change Point Detection and Boosting

François Fleuret, Leonidas Lefakis, F. Fleuret, 2012, 2012 11th International Conference on Machine Learning and Applications.

Adaptive relevance feedback for large-scale image retrieval

François Fleuret, Nicolae Suditu, 2015, Multimedia Tools and Applications.

Steerable Features for Statistical 3D Dendrite Detection

Pascal Fua, Michael Unser, François Fleuret, 2009, MICCAI.

New Results - Indexation trans-media : Aide à l'annotation textuelle d'images

Nozha Boujemaa, François Fleuret, Valérie Gouet, 2002 .

Exact Acceleration of Linear Object Detectors

François Fleuret, Charles Dubout, F. Fleuret, 2012, ECCV.

Accelerated Training of Linear Object Detectors

François Fleuret, Charles Dubout, F. Fleuret, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops.

Geometric calibration of Colour and Stereo Surface Imaging System of ESA's Trace Gas Orbiter pdf

Nicolas Thomas, François Fleuret, Gabriele Cremonese, 2017, ArXiv.

Automatic textual annotation of video news based on semantic visual object extraction

Hichem Sahbi, François Fleuret, Valérie Gouet-Brunet, 2003, IS&T/SPIE Electronic Imaging.

Multi-camera Tracking and Atypical Motion Detection with Behavioral Maps

Pascal Fua, François Fleuret, Jérôme Berclaz, 2008, ECCV.

Deep Occlusion Reasoning for Multi-camera Multi-target Detection

Pascal Fua, François Fleuret, Pierre Baqué, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

A Sub-Quadratic Exact Medoid Algorithm pdf

François Fleuret, James Newling, 2017, AISTATS.

The WILDTRACK Multi-Camera Person Dataset pdf

Luc Van Gool, Pascal Fua, Tatjana Chavdarova, 2017, ArXiv.

A tree-based distance between distributions: Application to classification of neurons

François Fleuret, Riwal Lefort, F. Fleuret, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Automated Delineation of Dendritic Networks in Noisy Image Stacks

Pascal Fua, François Fleuret, Germán González, 2008, ECCV.

Multicamera People Tracking with a Probabilistic Occupancy Map

Pascal Fua, François Fleuret, Jérôme Berclaz, 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Tracking Interacting Objects Optimally Using Integer Programming

Pascal Fua, François Fleuret, Engin Türetken, 2014, ECCV.

Exploratory Study on Direct Prediction of Diabetes Using Deep Residual Networks

Samaneh Abbasi-Sureshjani, Bart M. ter Haar Romeny, François Fleuret, 2017 .

Deformable Part Models with Individual Part Scaling

François Fleuret, Charles Dubout, 2013, BMVC.

Tracking Interacting Objects Using Intertwined Flows

Pascal Fua, François Fleuret, Engin Türetken, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Turbocharging Mini-Batch K-Means pdf

François Fleuret, James Newling, F. Fleuret, 2016, ArXiv.

Coarse-to-Fine Visual Selection

Donald Geman, François Fleuret, 1999 .

Principled Parallel Mean-Field Inference for Discrete Random Fields

Pascal Fua, François Fleuret, Pierre Baqué, 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Comparing machines and humans on a visual categorization test

Ting Li, Donald Geman, François Fleuret, 2011, Proceedings of the National Academy of Sciences.

Classifier-based Contour Tracking for Rigid and Deformable Objects

Pascal Fua, Ali Shahrokni, François Fleuret, 2005, BMVC.

Reservoir Boosting : Between Online and Offline Ensemble Learning

François Fleuret, Leonidas Lefakis, 2013, NIPS.

Occam's Hammer

Gilles Blanchard, François Fleuret, G. Blanchard, 2006, COLT.

Machine learning-based tools to model and to remove the off-target effect

François Fleuret, Riwal Lefort, Ludovico Fusco, 2017, Pattern Analysis and Applications.

Software - IKONA/MAESTRO Software

Nicolas Hervé, Marin Ferecatu, Nozha Boujemaa, 2006 .

Software - Logiciel IKONA/MAESTRO

Marin Ferecatu, Jean-Paul Chièze, François Fleuret, 2002 .

Fast Object Detection with Entropy-Driven Evaluation

Pascal Fua, François Fleuret, Raphael Sznitman, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Jointly Informative Feature Selection Made Tractable by Gaussian Modeling

François Fleuret, Leonidas Lefakis, 2016, J. Mach. Learn. Res..

Multi-layer boosting for pattern recognition

François Fleuret, 2009, Pattern Recognit. Lett..

Robust Multi-View Change Detection

Pascal Fua, Luigi di Stefano, François Fleuret, 2007, BMVC.

Pattern Recognition from One Example by Chopping

Gilles Blanchard, François Fleuret, G. Blanchard, 2005, NIPS.

Geodesic Convolutional Shape Optimization

Pascal Fua, François Fleuret, Edoardo Remelli, 2018, ICML.

On the Tunability of Optimizers in Deep Learning pdf

Martin Jaggi, François Fleuret, Florian Mai, 2019, ArXiv.

Classification-Based Probabilistic Modeling of Texture Transition for Fast Line Search Tracking and Delineation

Pascal Fua, Ali Shahrokni, Tom Drummond, 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Boosting with Maximum Adaptive Sampling

François Fleuret, Charles Dubout, 2011, NIPS.

Fast k-means with accurate bounds

François Fleuret, James Newling, F. Fleuret, 2016, ICML.

Kullback-Leibler Proximal Variational Inference

Pascal Fua, François Fleuret, Pierre Baqué, 2015, NIPS.

Deep Multi-camera People Detection

Tatjana Chavdarova, François Fleuret, F. Fleuret, 2017, 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA).

Robust People Tracking with Global Trajectory Optimization

Pascal Fua, François Fleuret, Jérôme Berclaz, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

New Results - Statistical Learning and Object Detection

Hichem Sahbi, Michel Crucianu, Jean-Philippe Tarel, 2003 .

Uncertainty Reduction for Model Adaptation in Semantic Segmentation

François Fleuret, Prabhu Teja Sivaprasad, Prabhu Teja, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Rethinking the Role of Gradient-based Attribution Methods for Model Interpretability

François Fleuret, Suraj Srinivas, F. Fleuret, 2021, ICLR.

Facial Descriptors for Identity-Preserving Multiple People Tracking

Pascal Fua, François Fleuret, Michail Zervos, 2013 .

Fixed Point Probability Field for Occlusion Handling

Pascal Fua, François Fleuret, R. Lengagne, 2004 .

The GCS Kernel for SVM-Based Image Recognition

Nozha Boujemaa, Jean-Philippe Tarel, Sabri Boughorbel, 2005, ICANN.

Double-helicity dependence of jet properties from dihadrons in longitudinally polarized p plus p collisions at root s=200 GeV

François Fleuret, J. Sziklai, Y. J. Mao, 2010 .

Tracking Multiple Players using a Single Camera

Pascal Fua, François Fleuret, Horesh Ben Shitrit, 2013, MVA 2013.

Kernel methods and scale invariance using the triangular kernel

Hichem Sahbi, François Fleuret, 2004 .

Tracking Multiple Objects under Global Appearance Constraints

Pascal Fua, François Fleuret, Jerome Berclaz, 2011, ICCV 2011.