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2020 – today
- 2024
[c32]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: 486-495- [i20]Matthieu Nastorg, Jean-Marc Gratien, Thibault Faney, Michele Alessandro Bucci, Guillaume Charpiat, Marc Schoenauer:
Multi-Level GNN Preconditioner for Solving Large Scale Problems. CoRR abs/2402.08296 (2024) - [i19]Manon Verbockhaven, Sylvain Chevallier, Guillaume Charpiat:
Growing Tiny Networks: Spotting Expressivity Bottlenecks and Fixing Them Optimally. CoRR abs/2405.19816 (2024) - 2023
- [j11]Théophile Sanchez
, Erik Madison Bray, Pierre Jobic, Jérémy Guez, Anne-Catherine Letournel, Guillaume Charpiat, Jean Cury, Flora Jay:
dnadna: a deep learning framework for population genetics inference. Bioinform. 39(1) (2023) - [j10]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) - [c31]Antoine Szatkownik, Cyril Furtlehner, Guillaume Charpiat, Burak Yelmen, Flora Jay:
Towards creating longer genetic sequences with GANs: Generation in principal component space. MLCB 2023: 110-122 - [i18]Loris Felardos, Jérôme Hénin, Guillaume Charpiat:
Designing losses for data-free training of normalizing flows on Boltzmann distributions. CoRR abs/2301.05475 (2023) - [i17]Matthieu Nastorg, Michele Alessandro Bucci, Thibault Faney, Jean-Marc Gratien, Guillaume Charpiat, Marc Schoenauer:
An Implicit GNN Solver for Poisson-like problems. CoRR abs/2302.10891 (2023) - [i16]Thibault Monsel, Onofrio Semeraro, Lionel Mathelin, Guillaume Charpiat:
Neural State-Dependent Delay Differential Equations. CoRR abs/2306.14545 (2023) - 2022
- [i15]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 abs/2207.05648 (2022) - [i14]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 abs/2207.05684 (2022) - [i13]Francesco Saverio Pezzicoli, Guillaume Charpiat, François P. Landes:
SE(3)-equivariant Graph Neural Networks for Learning Glassy Liquids Representations. CoRR abs/2211.03226 (2022) - [i12]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 abs/2211.11763 (2022) - 2021
- [i11]Guillaume Charpiat, Nicolas Girard, Loris Felardos, Yuliya Tarabalka:
Input Similarity from the Neural Network Perspective. CoRR abs/2102.05262 (2021) - [i10]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 abs/2105.07776 (2021) - 2020
- [j9]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: 1 (2020) - [c30]Julien Girard-Satabin, Guillaume Charpiat, Zakaria Chihani, Marc Schoenauer:
CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators. ECAI 2020: 2497-2504 - [i9]Pierre Wolinski, Guillaume Charpiat, Yann Ollivier:
Interpreting a Penalty as the Influence of a Bayesian Prior. CoRR abs/2002.00178 (2020)
2010 – 2019
- 2019
- [c29]Andrew Khalel, Onur Tasar, Guillaume Charpiat, Yuliya Tarabalka:
Multi-Task Deep Learning for Satellite Image Pansharpening and Segmentation. IGARSS 2019: 4869-4872 - [c28]Nicolas Girard, Guillaume Charpiat, Yuliya Tarabalka:
Noisy Supervision for Correcting Misaligned Cadaster Maps Without Perfect Ground Truth Data. IGARSS 2019: 10103-10106 - [c27]Guillaume Charpiat, Nicolas Girard, Loris Felardos, Yuliya Tarabalka:
Input Similarity from the Neural Network Perspective. NeurIPS 2019: 5343-5352 - [i8]Nicolas Girard, Guillaume Charpiat, Yuliya Tarabalka:
Noisy Supervision for Correcting Misaligned Cadaster Maps Without Perfect Ground Truth Data. CoRR abs/1903.06529 (2019) - [i7]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 abs/1910.10566 (2019) - [i6]Julien Girard-Satabin, Guillaume Charpiat, Zakaria Chihani, Marc Schoenauer:
CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators. CoRR abs/1911.10735 (2019) - 2018
- [c26]Nicolas Girard, Guillaume Charpiat, Yuliya Tarabalka:
Aligning and Updating Cadaster Maps with Aerial Images by Multi-task, Multi-resolution Deep Learning. ACCV (5) 2018: 675-690 - [c25]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: 679-696 - [i5]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 abs/1802.09816 (2018) - [i4]Hugo Richard, Ana Luísa Pinho, Bertrand Thirion, Guillaume Charpiat:
Optimizing deep video representation to match brain activity. CoRR abs/1809.02440 (2018) - 2017
- [j8]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): 1528 (2017) - [j7]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): 645-657 (2017) - [j6]Emmanuel Maggiori, Guillaume Charpiat, Yuliya Tarabalka, Pierre Alliez:
Recurrent Neural Networks to Correct Satellite Image Classification Maps. IEEE Trans. Geosci. Remote. Sens. 55(9): 4962-4971 (2017) - [j5]Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat, Pierre Alliez:
High-Resolution Aerial Image Labeling With Convolutional Neural Networks. IEEE Trans. Geosci. Remote. Sens. 55(12): 7092-7103 (2017) - [c24]Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat, Pierre Alliez:
Polygonization of remote sensing classification maps by mesh approximation. ICIP 2017: 560-564 - [c23]Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat, Pierre Alliez:
Can semantic labeling methods generalize to any city? the inria aerial image labeling benchmark. IGARSS 2017: 3226-3229 - [c22]Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat, Pierre Alliez:
High-resolution image classification with convolutional networks. IGARSS 2017: 5157-5160 - 2016
- [c21]Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat, Pierre Alliez:
Fully convolutional neural networks for remote sensing image classification. IGARSS 2016: 5071-5074 - [i3]Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat, Pierre Alliez:
Recurrent Neural Networks to Enhance Satellite Image Classification Maps. CoRR abs/1608.03440 (2016) - [i2]Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat, Pierre Alliez:
High-Resolution Semantic Labeling with Convolutional Neural Networks. CoRR abs/1611.01962 (2016) - 2015
- [c20]Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat:
Optimizing Partition Trees for Multi-Object Segmentation with Shape Prior. BMVC 2015: 64.1-64.12 - [c19]Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat:
Improved partition trees for multi-class segmentation of remote sensing images. IGARSS 2015: 1016-1019 - [c18]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: 69-79 - [i1]Yann Ollivier, Guillaume Charpiat:
Training recurrent networks online without backtracking. CoRR abs/1507.07680 (2015) - 2014
- [j4]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): 3829-3840 (2014) - [c17]Ratnesh Kumar, Guillaume Charpiat, Monique Thonnat:
Multiple Object Tracking by Efficient Graph Partitioning. ACCV (4) 2014: 445-460 - [c16]Ratnesh Kumar, Guillaume Charpiat, Monique Thonnat:
Hierarchical representation of videos with spatio-temporal fibers. WACV 2014: 469-476 - 2013
- [c15]Yuliya Tarabalka, Guillaume Charpiat, Ludovic Brucker, Bjoern H. Menze:
Enforcing Monotonous Shape Growth or Shrinkage in Video Segmentation. BMVC 2013 - [c14]Ahmed Gamal-Eldin, Guillaume Charpiat, Xavier Descombes, Josiane Zerubia:
An efficient optimizer for simple point process models. Computational Imaging 2013: 86570M - [c13]Yuliya Tarabalka, Guillaume Charpiat:
A graph-cut-based method for spatio-temporal segmentation of fire from satellite observations. IGARSS 2013: 3494-3497 - 2012
- [c12]Slawomir Bak, Guillaume Charpiat, Etienne Corvée, François Brémond, Monique Thonnat:
Learning to Match Appearances by Correlations in a Covariance Metric Space. ECCV (3) 2012: 806-820 - 2011
- [c11]Guillaume Charpiat:
Exhaustive family of energies minimizable exactly by a graph cut. CVPR 2011: 1849-1856 - [c10]Ahmed Gamal-Eldin, Xavier Descombes, Guillaume Charpiat, Josiane Zerubia:
A fast Multiple Birth and Cut algorithm using belief propagation. ICIP 2011: 2813-2816 - [c9]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: 163-172 - 2010
- [j3]Ahmed Gamal-Eldin, Xavier Descombes, Guillaume Charpiat, Josiane Zerubia:
Multiple Birth and Cut Algorithm for Multiple Object Detection. J. Multim. Process. Technol. 1(4): 260-276 (2010) - [c8]Siqi Chen, Guillaume Charpiat, Richard J. Radke:
Converting Level Set Gradients to Shape Gradients. ECCV (5) 2010: 715-728
2000 – 2009
- 2009
- [c7]Guillaume Charpiat:
Learning shape metrics based on deformations and transport. ICCV Workshops 2009: 328-335 - 2008
- [c6]Guillaume Charpiat, Matthias Hofmann, Bernhard Schölkopf:
Automatic Image Colorization Via Multimodal Predictions. ECCV (3) 2008: 126-139 - 2007
- [j2]Guillaume Charpiat, Pierre Maurel, Jean-Philippe Pons, Renaud Keriven, Olivier D. Faugeras:
Generalized Gradients: Priors on Minimization Flows. Int. J. Comput. Vis. 73(3): 325-344 (2007) - [c5]Guillaume Charpiat, Olivier D. Faugeras, Renaud Keriven:
Shape Statistics for Image Segmentation with Prior. CVPR 2007 - 2006
- [b1]Guillaume Charpiat:
Distance-based shape statistics for image segmentation with priors. (Statistiques de formes pour la segmentation d'images avec a priori). École Polytechnique, Palaiseau, France, 2006 - [c4]Guillaume Charpiat, Olivier D. Faugeras, Renaud Keriven, Pierre Maurel:
Distance-Based Shape Statistics. ICASSP (5) 2006: 925-928 - [p1]Guillaume Charpiat, Olivier D. Faugeras, Renaud Keriven, Pierre Maurel:
Approximations of Shape Metrics and Application to Shape Warping and Empirical Shape Statistics. Statistics and Analysis of Shapes 2006: 363-395 - 2005
- [j1]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): 1-58 (2005) - [c3]Guillaume Charpiat, Olivier D. Faugeras, Renaud Keriven:
Image Statistics Based on Diffeomorphic Matching. ICCV 2005: 852-857 - [c2]Guillaume Charpiat, Renaud Keriven, Jean-Philippe Pons, Olivier D. Faugeras:
Designing Spatially Coherent Minimizing Flows for Variational Problems Based on Active Contours. ICCV 2005: 1403-1408 - 2003
- [c1]Guillaume Charpiat, Olivier D. Faugeras, Renaud Keriven:
Shape metrics, warping and statistics. ICIP (2) 2003: 627-630
Coauthor Index
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