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Guillaume Charpiat
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Convolutional Neural Networks for Large-Scale Remote Sensing Image Classification
E Maggiori, Y Tarabalka, G Charpiat, P Alliez
IEEE Transactions on Geoscience and Remote Sensing, 2016
9192016
MR-based PET attenuation correction: method and validation
M Hofmann, F Steinke, V Scheel, G Charpiat, M Brady, B Schölkopf, ...
Proceedings of the 2007 IEEE Nuclear Science Symposium and Medical Imaging …, 2007
583*2007
MRI-based attenuation correction for PET/MRI: a novel approach combining pattern recognition and atlas registration
M Hofmann, F Steinke, V Scheel, G Charpiat, J Farquhar, P Aschoff, ...
Journal of Nuclear Medicine 49 (11), 1875-1883, 2008
5822008
Can Semantic Labeling Methods Generalize to Any City? The Inria Aerial Image Labeling Benchmark
E Maggiori, Y Tarabalka, G Charpiat, P Alliez
5442017
Automatic image colorization via multimodal predictions
G Charpiat, M Hofmann, B Schölkopf
European conference on computer vision, 126-139, 2008
2602008
Approximations of shape metrics and application to shape warping and empirical shape statistics
G Charpiat, O Faugeras, R Keriven
Foundations of Computational Mathematics 5 (1), 1-58, 2005
2232005
High-Resolution Aerial Image Labeling With Convolutional Neural Networks
E Maggiori, Y Tarabalka, G Charpiat, P Alliez
IEEE Transactions on Geoscience and Remote Sensing, 2017
2082017
Fully Convolutional Neural Networks For Remote Sensing Image Classification
E Maggiori, Y Tarabalka, G Charpiat, P Alliez
IEEE International Geoscience and Remote Sensing Symposium, 2016
1652016
Generalized gradients: Priors on minimization flows
G Charpiat, P Maurel, JP Pons, R Keriven, O Faugeras
International Journal of Computer Vision 73 (3), 325-344, 2007
1232007
Learning to Match Appearances by Correlations in a Covariance Metric Space
S Bąk, G Charpiat, E Corvée, F Brémond, M Thonnat
Computer Vision–ECCV 2012, 806-820, 2012
1172012
Designing spatially coherent minimizing flows for variational problems based on active contours
G Charpiat, R Keriven, JP Pons, O Faugeras
Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 2 …, 2005
902005
Recurrent Neural Networks to Correct Satellite Image Classification Maps
E Maggiori, G Charpiat, Y Tarabalka, P Alliez
IEEE Transactions on Geoscience and Remote Sensing, 2017
822017
Shape statistics for image segmentation with prior
G Charpiat, O Faugeras, R Keriven
2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-6, 2007
462007
Variational, geometric, and statistical methods for modeling brain anatomy and function
O Faugeras, G Adde, G Charpiat, C Chefd'Hotel, M Clerc, T Deneux, ...
NeuroImage 23, S46-S55, 2004
442004
Tropical cyclone track forecasting using fused deep learning from aligned reanalysis data
S Giffard-Roisin, M Yang, G Charpiat, C Kumler Bonfanti, B Kégl, ...
Frontiers in Big Data 3, 1, 2020
432020
Training recurrent networks online without backtracking
Y Ollivier, G Charpiat
arXiv preprint arXiv:1507.07680, 2015
432015
Multimodal image alignment through a multiscale chain of neural networks with application to remote sensing
A Zampieri, G Charpiat, N Girard, Y Tarabalka
European Conference on Computer Vision (ECCV), 2018
41*2018
Deep learning for population size history inference: design, comparison and combination with approximate Bayesian computation
T Sanchez, J Cury, G Charpiat, F Jay
BioRxiv, 2020
402020
Multiple Object Tracking by Efficient Graph Partitioning
R Kumar, G Charpiat, M Thonnat
Asian Conference on Computer Vision, 445-460, 2014
382014
Distance-based shape statistics
G Charpiat, O Faugeras, R Keriven, P Maurel
2006 IEEE International Conference on Acoustics Speech and Signal Processing …, 2006
362006
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Articles 1–20