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ORCIDGuillaume Charpiat
- > Home > Persons > Guillaume Charpiat
Publications
- 2023
[i18]Loris Felardos, Jérôme Hénin, Guillaume Charpiat:
Designing losses for data-free training of normalizing flows on Boltzmann distributions. CoRR abs/2301.05475 (2023)- 2021
- [i11]Guillaume Charpiat, Nicolas Girard, Loris Felardos, Yuliya Tarabalka:
Input Similarity from the Neural Network Perspective. CoRR abs/2102.05262 (2021) - 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) - 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) - 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 - 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) - 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 - 2011
- [c10]Ahmed Gamal-Eldin, Xavier Descombes, Guillaume Charpiat, Josiane Zerubia:
A fast Multiple Birth and Cut algorithm using belief propagation. ICIP 2011: 2813-2816 - 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)
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