Guillaume Charpiat

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 38

Top Venues

CoRR

IGARSS

IEEE Trans. Geosci. Remote. Sens.

Brainles@MICCAI

École Polytechnique, Palaiseau, France (PHD)

Education History

École Polytechnique, Palaiseau, France

PHD

Publications

Matthieu Nastorg, Jean-Marc Gratien, Thibault Faney, Michele Alessandro Bucci, Guillaume Charpiat, Marc Schoenauer
Multi-Level GNN Preconditioner for Solving Large Scale Problems. IPDPS (Workshops) (2024)
Matthieu Nastorg, Jean-Marc Gratien, Thibault Faney, Michele Alessandro Bucci, Guillaume Charpiat, Marc Schoenauer
Multi-Level GNN Preconditioner for Solving Large Scale Problems. CoRR (2024)
Manon Verbockhaven, Sylvain Chevallier, Guillaume Charpiat
Growing Tiny Networks: Spotting Expressivity Bottlenecks and Fixing Them Optimally. CoRR (2024)
Thibault Monsel, Onofrio Semeraro, Lionel Mathelin, Guillaume Charpiat
Neural State-Dependent Delay Differential Equations. CoRR (2023)
Loris Felardos, Jérôme Hénin, Guillaume Charpiat
Designing losses for data-free training of normalizing flows on Boltzmann distributions. CoRR (2023)
Antoine Szatkownik, Cyril Furtlehner, Guillaume Charpiat, Burak Yelmen, Flora Jay
Towards creating longer genetic sequences with GANs: Generation in principal component space. MLCB (2023)
Burak Yelmen, Aurélien Decelle, Leila Lea Boulos, Antoine Szatkownik, Cyril Furtlehner, Guillaume Charpiat, Flora Jay
Deep convolutional and conditional neural networks for large-scale genomic data generation. PLoS Comput. Biol. 19 (10) (2023)
Matthieu Nastorg, Michele Alessandro Bucci, Thibault Faney, Jean-Marc Gratien, Guillaume Charpiat, Marc Schoenauer
An Implicit GNN Solver for Poisson-like problems. CoRR (2023)
Théophile Sanchez, Erik Madison Bray, Pierre Jobic, Jérémy Guez, Anne-Catherine Letournel, Guillaume Charpiat, Jean Cury, Flora Jay
: a deep learning framework for population genetics inference. Bioinform. 39 (1) (2023)
Tamon Nakano, Alessandro Michele Bucci, Jean-Marc Gratien, Thibault Faney, Guillaume Charpiat
Machine Learning model for gas-liquid interface reconstruction in CFD numerical simulations. CoRR (2022)
Francesco Saverio Pezzicoli, Guillaume Charpiat, François P. Landes
SE(3)-equivariant Graph Neural Networks for Learning Glassy Liquids Representations. CoRR (2022)
Antoine Fosset, Mohamed El-Mennaoui, Amine Rebei, Paul Calligaro, Elise Farge Di Maria, Hélène Nguyen-Ban, Francesca Rea, Marie-Charlotte Vallade, Elisabetta Vitullo, Christophe Zhang, Guillaume Charpiat, Mathieu Rosenbaum
Docent: A content-based recommendation system to discover contemporary art. CoRR (2022)
Matthieu Nastorg, Marc Schoenauer, Guillaume Charpiat, Thibault Faney, Jean-Marc Gratien, Michele Alessandro Bucci
DS-GPS : A Deep Statistical Graph Poisson Solver (for faster CFD simulations). CoRR (2022)
Julien Girard-Satabin, Aymeric Varasse, Marc Schoenauer, Guillaume Charpiat, Zakaria Chihani
DISCO Verification: Division of Input Space into COnvex polytopes for neural network verification. CoRR (2021)
Guillaume Charpiat, Nicolas Girard, Loris Felardos, Yuliya Tarabalka
Input Similarity from the Neural Network Perspective. CoRR (2021)
Pierre Wolinski, Guillaume Charpiat, Yann Ollivier
Interpreting a Penalty as the Influence of a Bayesian Prior. CoRR (2020)
Sophie Giffard-Roisin, Mo Yang, Guillaume Charpiat, Christina Kumler-Bonfanti, Balázs Kégl, Claire Monteleoni
Tropical Cyclone Track Forecasting Using Fused Deep Learning From Aligned Reanalysis Data. Frontiers Big Data 3 (2020)
Julien Girard-Satabin, Guillaume Charpiat, Zakaria Chihani, Marc Schoenauer
CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators. ECAI (2020)
Andrew Khalel, Onur Tasar, Guillaume Charpiat, Yuliya Tarabalka
Multi-Task Deep Learning for Satellite Image Pansharpening and Segmentation. IGARSS (2019)
Guillaume Charpiat, Nicolas Girard, Loris Felardos, Yuliya Tarabalka
Input Similarity from the Neural Network Perspective. NeurIPS (2019)
Nicolas Girard, Guillaume Charpiat, Yuliya Tarabalka
Noisy Supervision for Correcting Misaligned Cadaster Maps Without Perfect Ground Truth Data. CoRR (2019)
Sophie Giffard-Roisin, Mo Yang, Guillaume Charpiat, Christina Kumler-Bonfanti, Balázs Kégl, Claire Monteleoni
Tropical Cyclone Track Forecasting using Fused Deep Learning from Aligned Reanalysis Data. CoRR (2019)
Nicolas Girard, Guillaume Charpiat, Yuliya Tarabalka
Noisy Supervision for Correcting Misaligned Cadaster Maps Without Perfect Ground Truth Data. IGARSS (2019)
Julien Girard-Satabin, Guillaume Charpiat, Zakaria Chihani, Marc Schoenauer
CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators. CoRR (2019)
Nicolas Girard, Guillaume Charpiat, Yuliya Tarabalka
Aligning and Updating Cadaster Maps with Aerial Images by Multi-task, Multi-resolution Deep Learning. ACCV (5) (2018)
Armand Zampieri, Guillaume Charpiat, Nicolas Girard, Yuliya Tarabalka
Multimodal Image Alignment Through a Multiscale Chain of Neural Networks with Application to Remote Sensing. ECCV (16) (2018)
Hugo Richard, Ana Luísa Pinho, Bertrand Thirion, Guillaume Charpiat
Optimizing deep video representation to match brain activity. CoRR (2018)
Armand Zampieri, Guillaume Charpiat, Yuliya Tarabalka
Coarse to fine non-rigid registration: a chain of scale-specific neural networks for multimodal image alignment with application to remote sensing. CoRR (2018)
Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat, Pierre Alliez
High-resolution image classification with convolutional networks. IGARSS (2017)
Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat, Pierre Alliez
Convolutional Neural Networks for Large-Scale Remote-Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 55 (2) (2017)
Carlos Fernando Crispim Junior, Alvaro Gómez Uría, Carola Strumia, Michal Koperski, Alexandra König, Farhood Negin, Serhan Cosar, Anh-Tuan Nghiem, Duc Phu Chau, Guillaume Charpiat, François Brémond
Online Recognition of Daily Activities by Color-Depth Sensing and Knowledge Models. Sensors 17 (7) (2017)
Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat, Pierre Alliez
High-Resolution Aerial Image Labeling With Convolutional Neural Networks. IEEE Trans. Geosci. Remote. Sens. 55 (12) (2017)
Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat, Pierre Alliez
Can semantic labeling methods generalize to any city? the inria aerial image labeling benchmark. IGARSS (2017)
Emmanuel Maggiori, Guillaume Charpiat, Yuliya Tarabalka, Pierre Alliez
Recurrent Neural Networks to Correct Satellite Image Classification Maps. IEEE Trans. Geosci. Remote. Sens. 55 (9) (2017)
Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat, Pierre Alliez
Polygonization of remote sensing classification maps by mesh approximation. ICIP (2017)
Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat, Pierre Alliez
Recurrent Neural Networks to Enhance Satellite Image Classification Maps. CoRR (2016)
Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat, Pierre Alliez
Fully convolutional neural networks for remote sensing image classification. IGARSS (2016)
Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat, Pierre Alliez
High-Resolution Semantic Labeling with Convolutional Neural Networks. CoRR (2016)
Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat
Improved partition trees for multi-class segmentation of remote sensing images. IGARSS (2015)
Yann Ollivier, Guillaume Charpiat
Training recurrent networks online without backtracking. CoRR (2015)
Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat
Optimizing Partition Trees for Multi-Object Segmentation with Shape Prior. BMVC (2015)
Esther Alberts, Guillaume Charpiat, Yuliya Tarabalka, Thomas Huber, Marc-André Weber, Jan S. Bauer, Claus Zimmer, Bjoern H. Menze
A Nonparametric Growth Model for Brain Tumor Segmentation in Longitudinal MR Sequences. Brainles@MICCAI (2015)
Ratnesh Kumar, Guillaume Charpiat, Monique Thonnat
Hierarchical representation of videos with spatio-temporal fibers. WACV (2014)
Ratnesh Kumar, Guillaume Charpiat, Monique Thonnat
Multiple Object Tracking by Efficient Graph Partitioning. ACCV (4) (2014)
Yuliya Tarabalka, Guillaume Charpiat, Ludovic Brucker, Bjoern H. Menze
Spatio-Temporal Video Segmentation With Shape Growth or Shrinkage Constraint. IEEE Trans. Image Process. 23 (9) (2014)
Yuliya Tarabalka, Guillaume Charpiat, Ludovic Brucker, Bjoern H. Menze
Enforcing Monotonous Shape Growth or Shrinkage in Video Segmentation. BMVC (2013)
Yuliya Tarabalka, Guillaume Charpiat
A graph-cut-based method for spatio-temporal segmentation of fire from satellite observations. IGARSS (2013)
Ahmed Gamal-Eldin, Guillaume Charpiat, Xavier Descombes, Josiane Zerubia
An efficient optimizer for simple point process models. Computational Imaging (2013)
Slawomir Bak, Guillaume Charpiat, Etienne Corvée, François Brémond, Monique Thonnat
Learning to Match Appearances by Correlations in a Covariance Metric Space. ECCV (3) (2012)
Vincent Martin, Victor Moncada, Jean-Marcel Travere, Thierry Loarer, François Brémond, Guillaume Charpiat, Monique Thonnat
A Cognitive Vision System for Nuclear Fusion Device Monitoring. ICVS (2011)
Ahmed Gamal-Eldin, Xavier Descombes, Guillaume Charpiat, Josiane Zerubia
A fast Multiple Birth and Cut algorithm using belief propagation. ICIP (2011)
Guillaume Charpiat
Exhaustive family of energies minimizable exactly by a graph cut. CVPR (2011)
Siqi Chen, Guillaume Charpiat, Richard J. Radke
Converting Level Set Gradients to Shape Gradients. ECCV (5) (2010)
Ahmed Gamal-Eldin, Xavier Descombes, Guillaume Charpiat, Josiane Zerubia
Multiple Birth and Cut Algorithm for Multiple Object Detection. J. Multim. Process. Technol. 1 (4) (2010)
Guillaume Charpiat
Learning shape metrics based on deformations and transport. ICCV Workshops (2009)
Guillaume Charpiat, Matthias Hofmann, Bernhard Schölkopf
Automatic Image Colorization Via Multimodal Predictions. ECCV (3) (2008)
Guillaume Charpiat, Olivier D. Faugeras, Renaud Keriven
Shape Statistics for Image Segmentation with Prior. CVPR (2007)
Guillaume Charpiat, Pierre Maurel, Jean-Philippe Pons, Renaud Keriven, Olivier D. Faugeras
Generalized Gradients: Priors on Minimization Flows. Int. J. Comput. Vis. 73 (3) (2007)
Guillaume Charpiat, Olivier D. Faugeras, Renaud Keriven, Pierre Maurel
Distance-Based Shape Statistics. ICASSP (5) (2006)
Guillaume Charpiat, Olivier D. Faugeras, Renaud Keriven
Image Statistics Based on Diffeomorphic Matching. ICCV (2005)
Guillaume Charpiat, Olivier D. Faugeras, Renaud Keriven
Approximations of Shape Metrics and Application to Shape Warping and Empirical Shape Statistics. Found. Comput. Math. 5 (1) (2005)
Guillaume Charpiat, Renaud Keriven, Jean-Philippe Pons, Olivier D. Faugeras
Designing Spatially Coherent Minimizing Flows for Variational Problems Based on Active Contours. ICCV (2005)
Guillaume Charpiat, Olivier D. Faugeras, Renaud Keriven
Shape metrics, warping and statistics. ICIP (2) (2003)

Guillaume Charpiat.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Guillaume Charpiat