Frédéric Champagnat

Publication Activity (10 Years)

Years Active: 1993-2023
Publications (10 Years): 14

Top Topics

Morphological Filters

Top Venues

ECCV Workshops (1)

Publications

Alice Fontbonne, Pauline Trouvé-Peloux, Frédéric Champagnat, Gabriel Jobert, Guillaume Druart
Embedded Processing for Extended Depth of Field Imaging Systems: From Infinite Impulse Response Wiener Filter to Learned Deconvolution. Sensors 23 (23) (2023)
Rémy Leroy, Pauline Trouvé-Peloux, Frédéric Champagnat, Bertrand Le Saux, Marcela Carvalho
Pix2Point: Learning Outdoor 3D Using Sparse Point Clouds and Optimal Transport. CoRR (2021)
Rémy Leroy, Pauline Trouvé-Peloux, Frédéric Champagnat, Bertrand Le Saux, Marcela Carvalho
Pix2Point: Learning Outdoor 3D Using Sparse Point Clouds and Optimal Transport. MVA (2021)
Frédéric Champagnat, Cédric Herzet
Interpolating and translation-invariant approximations of parametric dictionaries. EUSIPCO (2020)
Frédéric Champagnat, Cédric Herzet
Translation-invariant interpolation of parametric dictionaries. CoRR (2020)
Marcela Carvalho, Bertrand Le Saux, Pauline Trouvé-Peloux, Frédéric Champagnat, Andrés Almansa
Multitask Learning of Height and Semantics From Aerial Images. IEEE Geosci. Remote. Sens. Lett. 17 (8) (2020)
Frédéric Champagnat, Cédric Herzet
Atom Selection in Continuous Dictionaries: Reconciling Polar and SVD Approximations. ICASSP (2019)
Marcela Carvalho, Bertrand Le Saux, Pauline Trouvé-Peloux, Frédéric Champagnat, Andrés Almansa
Multi-Task Learning of Height and Semantics from Aerial Images. CoRR (2019)
Marcela Carvalho, Bertrand Le Saux, Pauline Trouvé-Peloux, Andrés Almansa, Frédéric Champagnat
Deep Depth from Defocus: How Can Defocus Blur Improve 3D Estimation Using Dense Neural Networks? ECCV Workshops (1) (2018)
Marcela Carvalho, Bertrand Le Saux, Pauline Trouvé-Peloux, Andrés Almansa, Frédéric Champagnat
Deep Depth from Defocus: how can defocus blur improve 3D estimation using dense neural networks? CoRR (2018)
Marcela Carvalho, Bertrand Le Saux, Pauline Trouvé-Peloux, Andrés Almansa, Frédéric Champagnat
On Regression Losses for Deep Depth Estimation. ICIP (2018)
Calum Burns, Aurélien Plyer, Frédéric Champagnat
Texture super-resolution for 3D reconstruction. MVA (2017)
Christian Musso, Frédéric Champagnat, Olivier Rabaste
Improvement of the laplace-based particle filter for track-before-detect. FUSION (2016)
Aurélien Plyer, Guy Le Besnerais, Frédéric Champagnat
Massively parallel Lucas Kanade optical flow for real-time video processing applications. J. Real Time Image Process. 11 (4) (2016)
Pauline Trouvé, Frédéric Champagnat, Guy Le Besnerais, G. Druart, Jérôme Idier
Design of a Chromatic 3D Camera with an End-to-End Performance Model Approach. CVPR Workshops (2013)
Frédéric Champagnat, Yves Le Sant
Efficient Cubic B-spline Image Interpolation on a GPU. J. Graph. Tools 16 (4) (2012)
Laure Genin, Frédéric Champagnat, Guy Le Besnerais, Laurent Coret
Point object detection using a NL-means type filter. ICIP (2011)
Pauline Trouvé, Frédéric Champagnat, Guy Le Besnerais, Jérôme Idier
Single image local blur identification. ICIP (2011)
Riadh Fezzani, Frédéric Champagnat, Guy Le Besnerais
Clarifying the implementation of warping in the combined local global method for optic flow computation. EUSIPCO (2010)
Evangeline Pollard, Aurélien Plyer, Benjamin Pannetier, Frédéric Champagnat, Guy Le Besnerais
GM-PHD filters for multi-object tracking in uncalibrated aerial videos. FUSION (2009)
Antoine Letienne, Frédéric Champagnat, Caroline Kulcsar, Guy Le Besnerais, Patrick Viaris de Lesegno
Fast super-resolution on moving objects in video sequences. EUSIPCO (2008)
Guy Le Besnerais, Martial Sanfourche, Frédéric Champagnat
Dense height map estimation from oblique aerial image sequences. Comput. Vis. Image Underst. 109 (2) (2008)
Guy Le Besnerais, Frédéric Champagnat
B-Spline Image Model for Energy Minimization-Based Optical Flow Estimation. IEEE Trans. Image Process. 15 (10) (2006)
Frédéric Champagnat, Guy Le Besnerais, Caroline Kulcsar
Continuous Super-Resolution for Recovery of 1-D Image Features: Algorithm and Performance Modeling. CVPR (1) (2006)
Gilles Rochefort, Frédéric Champagnat, Guy Le Besnerais, Jean-François Giovannelli
An Improved Observation Model for Super-Resolution Under Affine Motion. IEEE Trans. Image Process. 15 (11) (2006)
Guy Le Besnerais, Frédéric Champagnat
Dense optical flow by iterative local window registration. ICIP (1) (2005)
Frédéric Champagnat, Guy Le Besnerais
A Fourier interpretation of super-resolution techniques. ICIP (1) (2005)
Martial Sanfourche, Guy Le Besnerais, Frédéric Champagnat
On the choice of the goodness-to-fit term for multibaseline stereovision. BMVC (2004)
Frédéric Champagnat, Jérôme Idier
A connection between half-quadratic criteria and EM algorithms. IEEE Signal Process. Lett. 11 (9) (2004)
Guy Le Besnerais, Frédéric Champagnat, Gilles Rochefort
Robust optical flow estimation using B-spline image models. ISSPA (1) (2003)
Frédéric Champagnat, Jérôme Idier, Yves Goussard
Stationary Markov Random Fields on a Finite Rectangular Lattice. IEEE Trans. Inf. Theory 44 (7) (1998)
Frédéric Champagnat, Yves Goussard, Jérôme Idier
Unsupervised deconvolution of sparse spike trains using stochastic approximation. IEEE Trans. Signal Process. 44 (12) (1996)
Frédéric Champagnat, Jérôme Idier
An alternative to standard maximum likelihood for Gaussian mixtures. ICASSP (1995)
Frédéric Champagnat, Jérôme Idier, Guy Demoment
Deconvolution of sparse spike trains accounting for wavelet phase shifts and colored noise. ICASSP (3) (1993)