Adrien Lagrange
Adrien Lagrange
Agenium Space, Toulouse, France
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Processing of extremely high-resolution Lidar and RGB data: outcome of the 2015 IEEE GRSS data fusion contest–part a: 2-D contest
M Campos-Taberner, A Romero-Soriano, C Gatta, G Camps-Valls, ...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016
Benchmarking classification of earth-observation data: From learning explicit features to convolutional networks
A Lagrange, B Le Saux, A Beaupere, A Boulch, A Chan-Hon-Tong, ...
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2015
Large-scale feature selection with Gaussian mixture models for the classification of high dimensional remote sensing images
A Lagrange, M Fauvel, M Grizonnet
IEEE Transactions on Computational Imaging 3 (2), 230-242, 2017
Hierarchical Bayesian image analysis: From low-level modeling to robust supervised learning
A Lagrange, M Fauvel, S May, N Dobigeon
Pattern Recognition 85, 26-36, 2019
Gaps at the interface between dentine and self‐adhesive resin cement in post‐endodontic restorations quantified in 3D by phase contrast‐enhanced micro‐CT
AP Soares, K Bitter, A Lagrange, A Rack, H Shemesh, P Zaslansky
International endodontic journal 53 (3), 392-402, 2020
Matrix cofactorization for joint spatial–spectral unmixing of hyperspectral images
A Lagrange, M Fauvel, S May, N Dobigeon
IEEE Transactions on Geoscience and Remote Sensing 58 (7), 4915-4927, 2020
Matrix cofactorization for joint representation learning and supervised classification–Application to hyperspectral image analysis
A Lagrange, M Fauvel, S May, J Bioucas-Dias, N Dobigeon
Neurocomputing 385, 132-147, 2020
Towards Distillation of Deep Neural Networks for Satellite On-Board Image Segmentation
F de Vieilleville, A Lagrange, R Ruiloba, S May
The International Archives of Photogrammetry, Remote Sensing and Spatial …, 2020
Un modèle bayésien pour le démélange, la segmentation et la classification robuste d’images hyperspectrales
A Lagrange, M Fauvel, S May, N Dobigeon
26. Colloque GRETSI 2017, 2017
A standardized and characterized clinical grade human platelet lysate for efficient expansion of human bone marrow mesenchymal stem cells
S Viau, S Eap, L Chabrand, J Lorant, P Bertholet, T Bouckenooghe, ...
Cytotherapy 19 (5), 117-117, 2017
Deep learning for remote sensing
N Audebert, A Boulch, A Lagrange, B Le Saux, S Lefevre
Technical Report, 2016
Convolutional neural networks for semantic labeling
A Lagrange, B Le Saux
Tech. Rep., 2015
Matrix cofactorization for joint unmixing and classification of hyperspectral images
A Lagrange, M Fauvel, S May, JM Bioucas-Dias, N Dobigeon
2019 27th European Signal Processing Conference (EUSIPCO), 01-05, 2019
Cofactorisation de matrices pour le démélange et la classification conjoints d'images hyperspectrales (GRETSI 2019)
A Lagrange, M Fauvel, S May, JM Bioucas-Dias, N Dobigeon
27e colloque du Groupe de Recherche et d'Etudes du Traitement du Signal et …, 2019
A Bayesian Model for Joint Unmixing and Robust Classification of Hyperspectral Images
A Lagrange, M Fauvel, S May, N Dobigeon
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
Time-lapse submicrometer particle motion reveals residual strain evolution and damaging stress relaxation in clinical resin composites sealing human root canals
K Bitter, C Fleck, A Lagrange, A Rack, P Zaslansky
Acta Biomaterialia 140, 350-363, 2022
Simplification of Deep Neural Networks for image analysis at the edge
F De Vieilleville, S May, A Lagrange, A Dupuis, R Ruiloba
Actes de la conférence CAID 2020, 4, 2020
Towards generation of synthetic hyperspectral image datasets with GAN
F De Vieilleville, A Lagrange, N Dublé, B Le Saux
EGU23, 2023
Vision Transformers for building damage assessment after natural disasters
A Lagrange, N Dublé, F De Vieilleville, A Dupuis, S May, ...
EGU23, 2023
Confidence estimation of DNN predictions for on-board applications
N Dublé, F De Vieilleville, A Lagrange, B Le Saux
EGU23, 2023
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