Guillaume Charpiat

Orcid: 0009-0003-6000-9410

According to our database1, Guillaume Charpiat authored at least 58 papers between 2003 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Multi-Level GNN Preconditioner for Solving Large Scale Problems.
CoRR, 2024

2023
Deep convolutional and conditional neural networks for large-scale genomic data generation.
PLoS Comput. Biol., October, 2023

<tt>dnadna</tt>: a deep learning framework for population genetics inference.
Bioinform., January, 2023

Neural State-Dependent Delay Differential Equations.
CoRR, 2023

An Implicit GNN Solver for Poisson-like problems.
CoRR, 2023

Designing losses for data-free training of normalizing flows on Boltzmann distributions.
CoRR, 2023

2022
DS-GPS : A Deep Statistical Graph Poisson Solver (for faster CFD simulations).
CoRR, 2022

SE(3)-equivariant Graph Neural Networks for Learning Glassy Liquids Representations.
CoRR, 2022

Machine Learning model for gas-liquid interface reconstruction in CFD numerical simulations.
CoRR, 2022

Docent: A content-based recommendation system to discover contemporary art.
CoRR, 2022

2021
DISCO Verification: Division of Input Space into COnvex polytopes for neural network verification.
CoRR, 2021

2020
Tropical Cyclone Track Forecasting Using Fused Deep Learning From Aligned Reanalysis Data.
Frontiers Big Data, 2020

Interpreting a Penalty as the Influence of a Bayesian Prior.
CoRR, 2020

CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019
Input Similarity from the Neural Network Perspective.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Multi-Task Deep Learning for Satellite Image Pansharpening and Segmentation.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Noisy Supervision for Correcting Misaligned Cadaster Maps Without Perfect Ground Truth Data.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
Optimizing deep video representation to match brain activity.
CoRR, 2018

Coarse to fine non-rigid registration: a chain of scale-specific neural networks for multimodal image alignment with application to remote sensing.
CoRR, 2018

Multimodal Image Alignment Through a Multiscale Chain of Neural Networks with Application to Remote Sensing.
Proceedings of the Computer Vision - ECCV 2018, 2018

Aligning and Updating Cadaster Maps with Aerial Images by Multi-task, Multi-resolution Deep Learning.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
High-Resolution Aerial Image Labeling With Convolutional Neural Networks.
IEEE Trans. Geosci. Remote. Sens., 2017

Convolutional Neural Networks for Large-Scale Remote-Sensing Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2017

Recurrent Neural Networks to Correct Satellite Image Classification Maps.
IEEE Trans. Geosci. Remote. Sens., 2017

Online Recognition of Daily Activities by Color-Depth Sensing and Knowledge Models.
Sensors, 2017

High-resolution image classification with convolutional networks.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Can semantic labeling methods generalize to any city? the inria aerial image labeling benchmark.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Polygonization of remote sensing classification maps by mesh approximation.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016
High-Resolution Semantic Labeling with Convolutional Neural Networks.
CoRR, 2016

Recurrent Neural Networks to Enhance Satellite Image Classification Maps.
CoRR, 2016

Fully convolutional neural networks for remote sensing image classification.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015
Training recurrent networks online without backtracking.
CoRR, 2015

A Nonparametric Growth Model for Brain Tumor Segmentation in Longitudinal MR Sequences.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2015

Improved partition trees for multi-class segmentation of remote sensing images.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Optimizing Partition Trees for Multi-Object Segmentation with Shape Prior.
Proceedings of the British Machine Vision Conference 2015, 2015

2014
Spatio-Temporal Video Segmentation With Shape Growth or Shrinkage Constraint.
IEEE Trans. Image Process., 2014

Hierarchical representation of videos with spatio-temporal fibers.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

Multiple Object Tracking by Efficient Graph Partitioning.
Proceedings of the Computer Vision - ACCV 2014, 2014

2013
A graph-cut-based method for spatio-temporal segmentation of fire from satellite observations.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

An efficient optimizer for simple point process models.
Proceedings of the Computational Imaging XI, 2013

Enforcing Monotonous Shape Growth or Shrinkage in Video Segmentation.
Proceedings of the British Machine Vision Conference, 2013

2012
Learning to Match Appearances by Correlations in a Covariance Metric Space.
Proceedings of the Computer Vision - ECCV 2012, 2012

2011
A Cognitive Vision System for Nuclear Fusion Device Monitoring.
Proceedings of the Computer Vision Systems - 8th International Conference, 2011

A fast Multiple Birth and Cut algorithm using belief propagation.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Exhaustive family of energies minimizable exactly by a graph cut.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Multiple Birth and Cut Algorithm for Multiple Object Detection.
J. Multim. Process. Technol., 2010

Converting Level Set Gradients to Shape Gradients.
Proceedings of the Computer Vision - ECCV 2010, 2010

2009
Learning shape metrics based on deformations and transport.
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

2008
Automatic Image Colorization Via Multimodal Predictions.
Proceedings of the Computer Vision, 2008

2007
Generalized Gradients: Priors on Minimization Flows.
Int. J. Comput. Vis., 2007

Shape Statistics for Image Segmentation with Prior.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Distance-based shape statistics for image segmentation with priors. (Statistiques de formes pour la segmentation d'images avec a priori).
PhD thesis, 2006

Distance-Based Shape Statistics.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Approximations of Shape Metrics and Application to Shape Warping and Empirical Shape Statistics.
Proceedings of the Statistics and Analysis of Shapes, 2006

2005
Approximations of Shape Metrics and Application to Shape Warping and Empirical Shape Statistics.
Found. Comput. Math., 2005

Designing Spatially Coherent Minimizing Flows for Variational Problems Based on Active Contours.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

Image Statistics Based on Diffeomorphic Matching.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

2003
Shape metrics, warping and statistics.
Proceedings of the 2003 International Conference on Image Processing, 2003


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