Publications

Deblur or denoise: the role of an aperture in lens and neural network co-design

Published in Optics Letters, 2023

Recommended citation: M. Dufraisse, P. Trouvé-Peloux, J.-B. Volatier,F. Champagnat, Deblur or denoise: the role of an aperture in lens and neural network co-design, Optics Letters, vol. 48, 2, 2023

Learning local depth regression from defocus blur by soft-assignment encoding

Published in Applied Optics, 2022

Recommended citation: R. Leroy, P. Trouvé-Peloux, B. Le Saux, B. Buat, F. Champagnat, Learning local depth regression from defocus blur by soft-assignment encoding, Applied Optics, 61 (29),2022

Benefit of neural network for the optimization of defect - Detection on composite material using ultrasonic non destructive testing

Published in QNDE, 2021

Recommended citation: P. Trouvé-Peloux, B. Abeloos, A. Ben Fekih, C. Trottier, J.-M. Roche, Benefit of neural network for the optimization of defect - Detection on composite material using ultrasonic non destructive testing, QNDE 2021

Pauline Trouvé-Peloux

Publications

Deblur or denoise: the role of an aperture in lens and neural network co-design

Learning local depth regression from defocus blur by soft-assignment encoding

Benefit of neural network for the optimization of defect - Detection on composite material using ultrasonic non destructive testing

End-to-end sensor and neural network design using differential ray tracing

Pix2Point: learning outdoor 3D using sparse point clouds and optimal transport

Performance model of depth from defocus with an unconventional camera

Learning scene and blur model for active chromatic

Turning a conventional camera into a 3D camera with an add-on

Theoretical performance model for single image depth from defocus

Depth estimation using chromatic aberration and a depth from defocus approach