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Pauline Trouvé-Peloux
Pauline Trouvé-Peloux
Verified email at onera.fr - Homepage
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Year
AQUALOC: An underwater dataset for visual–inertial–pressure localization
M Ferrera, V Creuze, J Moras, P Trouvé-Peloux
The International Journal of Robotics Research 38 (14), 1549-1559, 2019
1022019
On regression losses for deep depth estimation
M Carvalho, B Le Saux, P Trouvé-Peloux, A Almansa, F Champagnat
2018 25th IEEE International Conference on Image Processing (ICIP), 2915-2919, 2018
732018
Real-time monocular visual odometry for turbid and dynamic underwater environments
M Ferrera, J Moras, P Trouvé-Peloux, V Creuze
Sensors 19 (3), 687, 2019
712019
Deep depth from defocus: how can defocus blur improve 3d estimation using dense neural networks?
M Carvalho, B Le Saux, P Trouvé-Peloux, A Almansa, F Champagnat
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018
712018
Passive depth estimation using chromatic aberration and a depth from defocus approach
P Trouvé, F Champagnat, G Le Besnerais, J Sabater, T Avignon, J Idier
Applied optics 52 (29), 7152-7164, 2013
552013
Multitask learning of height and semantics from aerial images
M Carvalho, B Le Saux, P Trouvé-Peloux, F Champagnat, A Almansa
IEEE Geoscience and Remote Sensing Letters 17 (8), 1391-1395, 2019
462019
Single image local blur identification
P Trouvé, F Champagnat, G Le Besnerais, J Idier
2011 18th IEEE International Conference on Image Processing, 613-616, 2011
392011
End-to-end sensor and neural network design using differential ray tracing
A Halé, P Trouvé-Peloux, JB Volatier
Optics express 29 (21), 34748-34761, 2021
272021
The aqualoc dataset: Towards real-time underwater localization from a visual-inertial-pressure acquisition system
M Ferrera, J Moras, P Trouvé-Peloux, V Creuze, D Dégez
arXiv preprint arXiv:1809.07076, 2018
212018
Design of a chromatic 3D camera with an end-to-end performance model approach
P Trouve, F Champagnat, G Besnerais, G Druart, J Idier
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
192013
Theoretical performance model for single image depth from defocus
P Trouvé-Peloux, F Champagnat, G Le Besnerais, J Idier
JOSA A 31 (12), 2650-2662, 2014
172014
Colored visualization of multitemporal SAR data for change detection: issues and methods
E Colin-Koeniguer, A Boulch, P Trouve-Peloux, F Janez
EUSAR 2018; 12th European Conference on Synthetic Aperture Radar, 1-4, 2018
122018
Turning a conventional camera into a 3D camera with an add-on
P Trouvé-Peloux, J Sabater, A Bernard-Brunel, F Champagnat, ...
Applied optics 57 (10), 2553-2563, 2018
102018
Conception conjointe optique/traitement pour un imageur compact à capacité 3D
P Trouvé
Ecole Centrale de Nantes (ECN), 2012
82012
Deblur or denoise: the role of an aperture in lens and neural network co-design
M Dufraisse, P Trouvé-Peloux, JB Volatier, F Champagnat
Optics Letters 48 (2), 231-234, 2023
62023
Learning scene and blur model for active chromatic depth from defocus
B Buat, P Trouvé-Peloux, F Champagnat, G Le Besnerais
Applied optics 60 (31), 9966-9974, 2021
62021
Pix2point: Learning outdoor 3d using sparse point clouds and optimal transport
R Leroy, P Trouvé-Peloux, F Champagnat, B Le Saux, M Carvalho
2021 17th International Conference on Machine Vision and Applications (MVA), 1-5, 2021
52021
Technical Report: Co-learning of geometry and semantics for online 3D mapping
M Carvalho, M Ferrera, A Boulch, J Moras, BL Saux, P Trouvé-Peloux
arXiv preprint arXiv:1911.01082, 2019
52019
Towards deep learning fusion of flying spot thermography and visible inspection for surface cracks detection on metallic materials
K Helvig, L Gaverina, P Trouvé-Peloux, JM Roche, B Abeloos, C Pradere, ...
The biannual Quantitative InfraRed Thermography (QIRT) 2022, 2022
42022
On the use of differentiable optical models for lens and neural network co-design
M Dufraisse, P Trouvé-Peloux, JB Volatier, F Champagnat
Unconventional Optical Imaging III 12136, 176-185, 2022
42022
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