François Fleuret

Orcid: 0000-0001-9457-7393

Affiliations:
  • EPFL, Idiap Research Institute


According to our database1, François Fleuret authored at least 144 papers between 2000 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
DenseFormer: Enhancing Information Flow in Transformers via Depth Weighted Averaging.
CoRR, 2024

Multi-Lattice Sampling of Quantum Field Theories via Neural Operator-based Flows.
CoRR, 2024

2023
DeepEMD: A Transformer-based Fast Estimation of the Earth Mover's Distance.
CoRR, 2023

Faster Causal Attention Over Large Sequences Through Sparse Flash Attention.
CoRR, 2023

SequeL: A Continual Learning Library in PyTorch and JAX.
CoRR, 2023

Graph Neural Networks Go Forward-Forward.
CoRR, 2023

Learning Deformation Trajectories of Boltzmann Densities.
CoRR, 2023

SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Fast Attention Over Long Sequences With Dynamic Sparse Flash Attention.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models.
Proceedings of the International Conference on Machine Learning, 2023

Agree to Disagree: Diversity through Disagreement for Better Transferability.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Transformers are Sample-Efficient World Models.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

ESLAM: Efficient Dense SLAM System Based on Hybrid Representation of Signed Distance Fields.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Human control redressed: Comparing AI and human predictability in a real-effort task.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

HyperMixer: An MLP-based Low Cost Alternative to Transformers.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Deformation Theory of Boltzmann Distributions.
CoRR, 2022

Accurate Extrinsic Prediction of Physical Systems Using Transformers.
CoRR, 2022

Flatten the Curve: Efficiently Training Low-Curvature Neural Networks.
CoRR, 2022

HyperMixer: An MLP-based Green AI Alternative to Transformers.
CoRR, 2022

The Theoretical Expressiveness of Maxpooling.
CoRR, 2022

SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics.
CoRR, 2022

Efficient Wind Speed Nowcasting with GPU-Accelerated Nearest Neighbors Algorithm.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Efficient Training of Low-Curvature Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Flowification: Everything is a normalizing flow.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Borrowing from yourself: Faster future video segmentation with partial channel update.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

GeoNeRF: Generalizing NeRF with Geometry Priors.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

PAUMER: Patch Pausing Transformer for Semantic Segmentation.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Test time Adaptation through Perturbation Robustness.
CoRR, 2021

Priming PCA with EigenGame.
CoRR, 2021

Structural analysis of an all-purpose question answering model.
CoRR, 2021

Unsupervised clustering of series using dynamic programming and neural processes.
CoRR, 2021

Unsupervised clustering of series using dynamic programming.
CoRR, 2021


Rethinking the Role of Gradient-based Attribution Methods for Model Interpretability.
Proceedings of the 9th International Conference on Learning Representations, 2021

Taming GANs with Lookahead-Minmax.
Proceedings of the 9th International Conference on Learning Representations, 2021

DepthInSpace: Exploitation and Fusion of Multiple Video Frames for Structured-Light Depth Estimation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Language Models are Few-Shot Butlers.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Uncertainty Reduction for Model Adaptation in Semantic Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Taming GANs with Lookahead.
CoRR, 2020

Gradient Alignment in Deep Neural Networks.
CoRR, 2020

Fair Latency-Aware Metric for real-time video segmentation networks.
CoRR, 2020

Multi-task Reinforcement Learning with a Planning Quasi-Metric.
CoRR, 2020

Fast Transformers with Clustered Attention.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Optimizer Benchmarking Needs to Account for Hyperparameter Tuning.
Proceedings of the 37th International Conference on Machine Learning, 2020

Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention.
Proceedings of the 37th International Conference on Machine Learning, 2020

On the importance of pre-training data volume for compact language models.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Real-Time Segmentation Networks Should be Latency Aware.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019
On the Tunability of Optimizers in Deep Learning.
CoRR, 2019

Full-Jacobian Representation of Neural Networks.
CoRR, 2019

Full-Gradient Representation for Neural Network Visualization.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Reducing Noise in GAN Training with Variance Reduced Extragradient.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Processing Megapixel Images with Deep Attention-Sampling Models.
Proceedings of the 36th International Conference on Machine Learning, 2019

Learning an Event Sequence Embedding for Dense Event-Based Deep Stereo.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Practical Deep Stereo (PDS): Toward applications-friendly deep stereo matching.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Knowledge Transfer with Jacobian Matching.
Proceedings of the 35th International Conference on Machine Learning, 2018

Not All Samples Are Created Equal: Deep Learning with Importance Sampling.
Proceedings of the 35th International Conference on Machine Learning, 2018

Geodesic Convolutional Shape Optimization.
Proceedings of the 35th International Conference on Machine Learning, 2018

Kronecker Recurrent Units.
Proceedings of the 6th International Conference on Learning Representations, 2018

SGAN: An Alternative Training of Generative Adversarial Networks.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

WILDTRACK: A Multi-Camera HD Dataset for Dense Unscripted Pedestrian Detection.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Machine learning-based tools to model and to remove the off-target effect.
Pattern Anal. Appl., 2017

Geometric calibration of Colour and Stereo Surface Imaging System of ESA's Trace Gas Orbiter.
CoRR, 2017

Biased Importance Sampling for Deep Neural Network Training.
CoRR, 2017

The WILDTRACK Multi-Camera Person Dataset.
CoRR, 2017

K-Medoids For K-Means Seeding.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Boosted Exudate Segmentation in Retinal Images Using Residual Nets.
Proceedings of the Fetal, Infant and Ophthalmic Medical Image Analysis, 2017

Deep Multi-camera People Detection.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

Weakly Supervised Learning of Deep Metrics for Stereo Reconstruction.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Non-Markovian Globally Consistent Multi-object Tracking.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Deep Occlusion Reasoning for Multi-camera Multi-target Detection.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Multi-modal Mean-Fields via Cardinality-Based Clamping.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Social Scene Understanding: End-to-End Multi-person Action Localization and Collective Activity Recognition.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

A Sub-Quadratic Exact Medoid Algorithm.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Tracking Interacting Objects Using Intertwined Flows.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Adaptive relevance feedback for large-scale image retrieval.
Multim. Tools Appl., 2016

Jointly Informative Feature Selection Made Tractable by Gaussian Modeling.
J. Mach. Learn. Res., 2016

Semi-supervised learning of deep metrics for stereo reconstruction.
CoRR, 2016

Turbocharging Mini-Batch K-Means.
CoRR, 2016

Globally Consistent Multi-People Tracking using Motion Patterns.
CoRR, 2016

Predicting the dynamics of 2d objects with a deep residual network.
CoRR, 2016

Nested Mini-Batch K-Means.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Fast k-means with accurate bounds.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Importance Sampling Tree for Large-scale Empirical Expectation.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Scalable Metric Learning via Weighted Approximate Rank Component Analysis.
Proceedings of the Computer Vision - ECCV 2016, 2016

Large Scale Hard Sample Mining with Monte Carlo Tree Search.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Principled Parallel Mean-Field Inference for Discrete Random Fields.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
A provably convergent alternating minimization method for mean field inference.
CoRR, 2015

Kullback-Leibler Proximal Variational Inference.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Probability occupancy maps for occluded depth images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Re-identification for Improved People Tracking.
Proceedings of the Person Re-Identification, 2014

Multi-Commodity Network Flow for Tracking Multiple People.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Adaptive sampling for large scale boosting.
J. Mach. Learn. Res., 2014

Dynamic Programming Boosting for Discriminative Macro-Action Discovery.
Proceedings of the 31th International Conference on Machine Learning, 2014

Tracking Interacting Objects Optimally Using Integer Programming.
Proceedings of the Computer Vision - ECCV 2014, 2014

Jointly Informative Feature Selection.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Sample Distillation for Object Detection and Image Classification.
Proceedings of the Sixth Asian Conference on Machine Learning, 2014

Efficient Sample Mining for Object Detection.
Proceedings of the Sixth Asian Conference on Machine Learning, 2014

LETHA: Learning from High Quality Inputs for 3D Pose Estimation in Low Quality Images.
Proceedings of the 2nd International Conference on 3D Vision, 2014

2013
treeKL: A distance between high dimension empirical distributions.
Pattern Recognit. Lett., 2013

Reservoir Boosting : Between Online and Offline Ensemble Learning.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Fast Object Detection with Entropy-Driven Evaluation.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Accelerated Training of Linear Object Detectors.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013

Deformable Part Models with Individual Part Scaling.
Proceedings of the British Machine Vision Conference, 2013

2012
A Real-Time Deformable Detector.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Macro-action Discovery Based on Change Point Detection and Boosting.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

A tree-based distance between distributions: Application to classification of neurons.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Exact Acceleration of Linear Object Detectors.
Proceedings of the Computer Vision - ECCV 2012, 2012

Iterative relevance feedback with adaptive exploration/exploitation trade-off.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Comparing machines and humans on a visual categorization test.
Proc. Natl. Acad. Sci. USA, 2011

Multiple Object Tracking Using K-Shortest Paths Optimization.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

The MASH Project.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Boosting with Maximum Adaptive Sampling.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

HEAT: Iterative relevance feedback with one million images.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Tracking multiple people under global appearance constraints.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Tasting families of features for image classification.
Proceedings of the IEEE International Conference on Computer Vision, 2011

FlowBoost - Appearance learning from sparsely annotated video.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Joint Cascade Optimization Using A Product Of Boosted Classifiers.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Delineating trees in noisy 2D images and 3D image-stacks.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Multi-layer boosting for pattern recognition.
Pattern Recognit. Lett., 2009

Classification-Based Probabilistic Modeling of Texture Transition for Fast Line Search Tracking and Delineation.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

Steerable Features for Statistical 3D Dendrite Detection.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Joint pose estimator and feature learning for object detection.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Learning rotational features for filament detection.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
Multicamera People Tracking with a Probabilistic Occupancy Map.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

Principled Detection-by-Classification From Multiple Views.
Proceedings of the VISAPP 2008: Proceedings of the Third International Conference on Computer Vision Theory and Applications, Funchal, Madeira, Portugal, January 22-25, 2008, 2008

Automated Delineation of Dendritic Networks in Noisy Image Stacks.
Proceedings of the Computer Vision, 2008

Multi-camera Tracking and Atypical Motion Detection with Behavioral Maps.
Proceedings of the Computer Vision, 2008

2007
Occam's Hammer.
Proceedings of the Learning Theory, 20th Annual Conference on Learning Theory, 2007

Robust Multi-View Change Detection.
Proceedings of the British Machine Vision Conference 2007, 2007

2006
Occam's hammer: a link between randomized learning and multiple testing FDR control
CoRR, 2006

Feature Harvesting for Tracking-by-Detection.
Proceedings of the Computer Vision, 2006

Robust People Tracking with Global Trajectory Optimization.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005
Pattern Recognition from One Example by Chopping.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

A Bayesian kernel for the prediction of neuron properties from binary gene profiles.
Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005

Fixed Point Probability Field for Complex Occlusion Handling.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

The GCS Kernel for SVM-Based Image Recognition.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

Classifier-based Contour Tracking for Rigid and Deformable Objects.
Proceedings of the British Machine Vision Conference 2005, Oxford, UK, September 2005, 2005

2004
Fast Binary Feature Selection with Conditional Mutual Information.
J. Mach. Learn. Res., 2004

Automatic textual annotation of video news based on semantic visual object extraction.
Proceedings of the Storage and Retrieval Methods and Applications for Multimedia 2004, 2004

Non-Mercer Kernels for SVM Object Recognition.
Proceedings of the British Machine Vision Conference, 2004

2002
Fast Face Detection with Precise Pose Estimation.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

Theoretical properties of functional Multi Layer Perceptrons.
Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002

2001
Coarse-to-Fine Face Detection.
Int. J. Comput. Vis., 2001

2000
DEA: An Architecture for Goal Planning and Classification.
Neural Comput., 2000


  Loading...