Frédéric Champagnat
Frédéric Champagnat
Senior Researcher, ONERA, The French Aerospace Lab
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Fast and accurate PIV computation using highly parallel iterative correlation maximization
F Champagnat, A Plyer, G Le Besnerais, B Leclaire, S Davoust, Y Le Sant
Experiments in fluids 50 (4), 1169-1182, 2011
Massively parallel Lucas Kanade optical flow for real-time video processing applications
A Plyer, G Le Besnerais, F Champagnat
Journal of Real-Time Image Processing 11, 713-730, 2016
Dense optical flow by iterative local window registration
G Le Besnerais, F Champagnat
IEEE International Conference on Image Processing 2005 1, I-137, 2005
A direct approach for instantaneous 3D density field reconstruction from background-oriented schlieren (BOS) measurements
F Nicolas, V Todoroff, A Plyer, G Le Besnerais, D Donjat, F Micheli, ...
Experiments in fluids 57, 1-21, 2016
Unsupervised deconvolution of sparse spike trains using stochastic approximation
F Champagnat, Y Goussard, J Idier
IEEE Transactions on Signal Processing 44 (12), 2988-2998, 1996
Principles and applications of particle image velocimetry
C Brossard, JC Monnier, P Barricau, FX Vandernoot, Y Le Sant, ...
Aerospace Lab, p. 1-11, 2009
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
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
3D reconstruction of a compressible flow by synchronized multi-camera BOS
F Nicolas, D Donjat, O Léon, G Le Besnerais, F Champagnat, F Micheli
Experiments in fluids 58, 1-15, 2017
An improved observation model for super-resolution under affine motion
G Rochefort, F Champagnat, G Le Besnerais, JF Giovannelli
IEEE Transactions on Image Processing 15 (11), 3325-3337, 2006
A connection between half-quadratic criteria and EM algorithms
F Champagnat, J Idier
IEEE Signal Processing Letters 11 (9), 709-712, 2004
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
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
Point target detection and subpixel position estimation in optical imagery
V Samson, F Champagnat, JF Giovannelli
Applied Optics 43 (2), 257-263, 2004
GM-PHD filters for multi-object tracking in uncalibrated aerial videos
E Pollard, A Plyer, B Pannetier, F Champagnat, G Le Besnerais
2009 12th International Conference on Information Fusion, 1171-1178, 2009
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
Time-space regularization of the inverse problem of electrocardiography
J El-Jakl, F Champagnat, Y Goussard
Proceedings of 17th International Conference of the Engineering in Medicine …, 1995
Another look at volume self-calibration: calibration and self-calibration within a pinhole model of Scheimpflug cameras
P Cornic, C Illoul, A Cheminet, G Le Besnerais, F Champagnat, Y Le Sant, ...
Measurement Science and Technology 27 (9), 094004, 2016
Tomographic PIV: particles versus blobs
F Champagnat, P Cornic, A Cheminet, B Leclaire, G Le Besnerais, A Plyer
Measurement Science and Technology 25 (8), 084002, 2014
Dense height map estimation from oblique aerial image sequences
G Le Besnerais, M Sanfourche, F Champagnat
Computer vision and image understanding 109 (2), 204-225, 2008
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