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Akademický článek

Self-navigation with compressed sensing for 2D translational motion correction in free-breathing coronary MRI: a feasibility study.

Autor: Gabriele Bonanno, Gilles Puy, Yves Wiaux, Ruud B van Heeswijk, Davide Piccini, Matthias Stuber

Publikováno v: PLoS ONE, Vol 9, Iss 8, p e105523 (2014)

PURPOSE: Respiratory motion correction remains a challenge in coronary magnetic resonance imaging (MRI) and current techniques, such as navigator gating, suffer from sub-optimal scan efficiency and ease-of-use. To overcome these limitations, an image

Externí odkaz: https://doaj.org/article/60f5162199904e8f95e9c8e1159acfa7

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PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds

Autor: Anh-Quan Cao, Gilles Puy, Alexandre Boulch, Renaud Marlet

Publikováno v: ICCV 2021-International Conference on Computer Vision
ICCV 2021-International Conference on Computer Vision, Oct 2021, Montreal / Virtual, Canada
HAL

Rigid registration of point clouds with partial overlaps is a longstanding problem usually solved in two steps: (a) finding correspondences between the point clouds; (b) filtering these correspondences to keep only the most reliable ones to estimate

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73aeed25579eab0886711a1db0bd02a2
https://hal.archives-ouvertes.fr/hal-03364975

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FKAConv: Feature-Kernel Alignment for Point Cloud Convolution

Autor: Alexandre Boulch, Gilles Puy, Renaud Marlet

Publikováno v: Computer Vision – ACCV 2020 ISBN: 9783030695248
ACCV (1)

Recent state-of-the-art methods for point cloud processing are based on the notion of point convolution, for which several approaches have been proposed. In this paper, inspired by discrete convolution in image processing, we provide a formulation to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::504d3aa8f802f55ed8ded3f5996eef80
https://doi.org/10.1007/978-3-030-69525-5_23

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FacialFilmroll: High-resolution multi-shot video editing

Autor: Cedric Thebault, Bharath Bhushan Damodaran, Gilles Puy, Emmanuel Jolly, Paul Ghezzo, Tim Christensen, Philippe-Henri Gosselin, Pierre Hellier, Junghyun Ahn

Publikováno v: CVMP

We present FacialFilmroll, a solution for spatially and temporally consistent editing of faces in one or multiple shots. We build upon unwrap mosaic [Rav-Acha et al. 2008] by specializing it to faces. We leverage recent techniques to fit a 3D face mo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a8e9b8a20243b80269e02dd27b8eb91

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OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning

Autor: Andrei Bursuc, Nikos Komodakis, Gilles Puy, Patrick Pérez, Spyros Gidaris, Matthieu Cord

Publikováno v: CVPR

Learning image representations without human supervision is an important and active research field. Several recent approaches have successfully leveraged the idea of making such a representation invariant under different types of perturbations, espec

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ddd1c91ea77091ebb40a80f3fac57a5
http://arxiv.org/abs/2012.11552

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High Resolution Face Age Editing

Autor: Alasdair Newson, Yann Gousseau, Xu Yao, Gilles Puy, Pierre Hellier

Publikováno v: ICPR

Face age editing has become a crucial task in film post-production, and is also becoming popular for general purpose photography. Recently, adversarial training has produced some of the most visually impressive results for image manipulation, includi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c86356caa6020edf4803de97ad742da8
http://arxiv.org/abs/2005.04410

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Photo style transfer with consistency losses

Autor: Patrick Pérez, Gilles Puy, Xu Yao

Publikováno v: ICIP

We address the problem of style transfer between two photos and propose a new way to preserve photorealism. Using the single pair of photos available as input, we train a pair of deep convolution networks (convnets), each of which transfers the style

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c33446a31c15a9310768b16fc1feec3b

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FLOT: Scene Flow on Point Clouds Guided by Optimal Transport

Autor: Renaud Marlet, Alexandre Boulch, Gilles Puy

Publikováno v: Computer Vision – ECCV 2020 ISBN: 9783030586034
ECCV (28)

We propose and study a method called FLOT that estimates scene flow on point clouds. We start the design of FLOT by noticing that scene flow estimation on point clouds reduces to estimating a permutation matrix in a perfect world. Inspired by recent

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a294b43dbc8c08ea05b9690cbe4c35d6
https://doi.org/10.1007/978-3-030-58604-1_32

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A Flexible Convolutional Solver for Fast Style Transfers

Autor: Gilles Puy, Patrick Pérez

Publikováno v: CVPR

We propose a new flexible deep convolutional neural network (convnet) to perform fast neural style transfers. Our network is trained to solve approximately, but rapidly, the artistic style transfer problem of [Gatys et al.] for arbritary styles. Whil

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6ea7a862b575b42ac45ba90dc3d113e2
https://doi.org/10.1109/cvpr.2019.00917

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Compressed sensing in Hilbert spaces

Autor: Gilles Puy, Rémi Gribonval, Michael Davies, Yann Traonmilin

Publikováno v: Compressed Sensing and its Applications--Second International MATHEON Conference 2015
Holger Boche; Giuseppe Caire; Robert Calderbank; Maximilian März; Gitta Kutyniok; Rudolf Mathar. Compressed Sensing and its Applications--Second International MATHEON Conference 2015, Birkhaüser Basel, pp.359--384, 2018, Series: Applied and Numerical Harmonic Analysis, 978-3-319-69801-4. ⟨10.1007/978-3-319-69802-1_12⟩
Compressed Sensing and its Applications
Applied and Numerical Harmonic Analysis
Applied and Numerical Harmonic Analysis-Compressed Sensing and its Applications
Compressed Sensing and its Applications ISBN: 9783319698014

International audience; In many linear inverse problems, we want to estimate an unknown vector belonging to a high-dimensional (or infinite-dimensional) space from few linear measurements. To overcome the ill-posed nature of such problems, we use a l

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b301405613ff0e3cf7947a03cb7caa50
https://hal.science/hal-01469134

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