Gilles Puy

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 59

Top Topics

Sparse Representation

Semantic Segmentation

Top Venues

Publications

Corentin Sautier, Gilles Puy, Alexandre Boulch, Renaud Marlet, Vincent Lepetit
BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds. 3DV (2024)
Björn Michele, Alexandre Boulch, Gilles Puy, Tuan-Hung Vu, Renaud Marlet, Nicolas Courty
SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation. 3DV (2024)
Yihong Xu, Éloi Zablocki, Alexandre Boulch, Gilles Puy, Mickaël Chen, Florent Bartoccioni, Nermin Samet, Oriane Siméoni, Spyros Gidaris, Tuan-Hung Vu, Andrei Bursuc, Eduardo Valle, Renaud Marlet, Matthieu Cord
Valeo4Cast: A Modular Approach to End-to-End Forecasting. CoRR (2024)
Nermin Samet, Gilles Puy, Oriane Siméoni, Renaud Marlet
MILAN: Milli-Annotations for Lidar Semantic Segmentation. CoRR (2024)
Léon Zheng, Gilles Puy, Elisa Riccietti, Patrick Pérez, Rémi Gribonval
Butterfly factorization by algorithmic identification of rank-one blocks. CoRR (2023)
Gilles Puy, Alexandre Boulch, Renaud Marlet
Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation. ICCV (2023)
Angelika Ando, Spyros Gidaris, Andrei Bursuc, Gilles Puy, Alexandre Boulch, Renaud Marlet
RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving. CVPR (2023)
Alexandre Boulch, Corentin Sautier, Björn Michele, Gilles Puy, Renaud Marlet
ALSO: Automotive Lidar Self-Supervision by Occupancy Estimation. CVPR (2023)
Oriane Siméoni, Chloé Sekkat, Gilles Puy, Antonín Vobecký, Éloi Zablocki, Patrick Pérez
Unsupervised Object Localization: Observing the Background to Discover Objects. CVPR (2023)
Nermin Samet, Oriane Siméoni, Gilles Puy, Georgy Ponimatkin, Renaud Marlet, Vincent Lepetit
You Never Get a Second Chance To Make a Good First Impression: Seeding Active Learning for 3D Semantic Segmentation. ICCV (2023)
Oriane Siméoni, Éloi Zablocki, Spyros Gidaris, Gilles Puy, Patrick Pérez
Unsupervised Object Localization in the Era of Self-Supervised ViTs: A Survey. CoRR (2023)
Björn Michele, Alexandre Boulch, Gilles Puy, Tuan-Hung Vu, Renaud Marlet, Nicolas Courty
SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation. CoRR (2023)
Angelika Ando, Spyros Gidaris, Andrei Bursuc, Gilles Puy, Alexandre Boulch, Renaud Marlet
RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving. CoRR (2023)
Léon Zheng, Gilles Puy, Elisa Riccietti, Patrick Pérez, Rémi Gribonval
Self-supervised learning with rotation-invariant kernels. ICLR (2023)
Gilles Puy, Spyros Gidaris, Alexandre Boulch, Oriane Siméoni, Corentin Sautier, Patrick Pérez, Andrei Bursuc, Renaud Marlet
Revisiting the Distillation of Image Representations into Point Clouds for Autonomous Driving. CoRR (2023)
Corentin Sautier, Gilles Puy, Alexandre Boulch, Renaud Marlet, Vincent Lepetit
BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds. CoRR (2023)
Gilles Puy, Alexandre Boulch, Renaud Marlet
Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation. CoRR (2023)
Nermin Samet, Oriane Siméoni, Gilles Puy, Georgy Ponimatkin, Renaud Marlet, Vincent Lepetit
You Never Get a Second Chance To Make a Good First Impression: Seeding Active Learning for 3D Semantic Segmentation. CoRR (2023)
Oriane Siméoni, Chloé Sekkat, Gilles Puy, Antonín Vobecký, Éloi Zablocki, Patrick Pérez
Unsupervised Object Localization: Observing the Background to Discover Objects. CoRR (2022)
Corentin Sautier, Gilles Puy, Spyros Gidaris, Alexandre Boulch, Andrei Bursuc, Renaud Marlet
Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data. CoRR (2022)
Alexandre Boulch, Corentin Sautier, Björn Michele, Gilles Puy, Renaud Marlet
ALSO: Automotive Lidar Self-supervision by Occupancy estimation. CoRR (2022)
Simon Roburin, Charles Corbière, Gilles Puy, Nicolas Thome, Mathieu Aubry, Renaud Marlet, Patrick Pérez
Take One Gram of Neural Features, Get Enhanced Group Robustness. CoRR (2022)
Léon Zheng, Gilles Puy, Elisa Riccietti, Patrick Pérez, Rémi Gribonval
Self-supervised learning with rotation-invariant kernels. CoRR (2022)
Corentin Sautier, Gilles Puy, Spyros Gidaris, Alexandre Boulch, Andrei Bursuc, Renaud Marlet
Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data. CVPR (2022)
Bharath Bhushan Damodaran, Emmanuel Jolly, Gilles Puy, Philippe Henri Gosselin, Cédric Thébault, Junghyun Ahn, Tim Christensen, Paul Ghezzo, Pierre Hellier
FacialFilmroll: High-resolution multi-shot video editing. CoRR (2021)
Alexandre Boulch, Pierre-Alain Langlois, Gilles Puy, Renaud Marlet
NeeDrop: Self-supervised Shape Representation from Sparse Point Clouds using Needle Dropping. CoRR (2021)
Björn Michele, Alexandre Boulch, Gilles Puy, Maxime Bucher, Renaud Marlet
Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds. 3DV (2021)
Bharath Bhushan Damodaran, Emmanuel Jolly, Gilles Puy, Philippe-Henri Gosselin, Cédric Thébault, Junghyun Ahn, Tim Christensen, Paul Ghezzo, Pierre Hellier
FacialFilmroll: High-resolution multi-shot video editing. CVMP (2021)
Anh-Quan Cao, Gilles Puy, Alexandre Boulch, Renaud Marlet
PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds. ICCV (2021)
Anh-Quan Cao, Gilles Puy, Alexandre Boulch, Renaud Marlet
PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds. CoRR (2021)
Oriane Siméoni, Gilles Puy, Huy V. Vo, Simon Roburin, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Renaud Marlet, Jean Ponce
Localizing Objects with Self-Supervised Transformers and no Labels. CoRR (2021)
Björn Michele, Alexandre Boulch, Gilles Puy, Maxime Bucher, Renaud Marlet
Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Cloud. CoRR (2021)
Alexandre Boulch, Pierre-Alain Langlois, Gilles Puy, Renaud Marlet
NeeDrop: Self-supervised Shape Representation from Sparse Point Clouds using Needle Dropping. 3DV (2021)
Oriane Siméoni, Gilles Puy, Huy V. Vo, Simon Roburin, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Renaud Marlet, Jean Ponce
Localizing Objects with Self-supervised Transformers and no Labels. BMVC (2021)
Spyros Gidaris, Andrei Bursuc, Gilles Puy, Nikos Komodakis, Matthieu Cord, Patrick Pérez
OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning. CVPR (2021)
Gilles Puy, Alexandre Boulch, Renaud Marlet
FLOT: Scene Flow on Point Clouds Guided by Optimal Transport. CoRR (2020)
Gilles Puy, Alexandre Boulch, Renaud Marlet
FLOT: Scene Flow on Point Clouds Guided by Optimal Transport. ECCV (28) (2020)
Spyros Gidaris, Andrei Bursuc, Gilles Puy, Nikos Komodakis, Matthieu Cord, Patrick Pérez
Online Bag-of-Visual-Words Generation for Unsupervised Representation Learning. CoRR (2020)
Xu Yao, Gilles Puy, Patrick Pérez
Photo style transfer with consistency losses. CoRR (2020)
Xu Yao, Gilles Puy, Alasdair Newson, Yann Gousseau, Pierre Hellier
High Resolution Face Age Editing. CoRR (2020)
Xu Yao, Gilles Puy, Alasdair Newson, Yann Gousseau, Pierre Hellier
High Resolution Face Age Editing. ICPR (2020)
Alexandre Boulch, Gilles Puy, Renaud Marlet
FKAConv: Feature-Kernel Alignment for Point Cloud Convolution. ACCV (1) (2020)
Alexandre Boulch, Gilles Puy, Renaud Marlet
LightConvPoint: convolution for points. CoRR (2020)
Srdan Kitic, Gilles Puy, Patrick Pérez, Philippe Gilberton
Scattering Features for Multimodal Gait Recognition. CoRR (2020)
Gilles Puy, Patrick Pérez
A Flexible Convolutional Solver for Fast Style Transfers. CVPR (2019)
Xu Yao, Gilles Puy, Patrick Pérez
Photo Style Transfer With Consistency Losses. ICIP (2019)
Gilles Puy, Patrick Pérez
A Flexible Convolutional Solver with Application to Photorealistic Style Transfer. CoRR (2018)
Gilles Puy, Patrick Pérez
Structured sampling and fast reconstruction of smooth graph signals. CoRR (2017)
Gilles Puy, Alexey Ozerov, Ngoc Q. K. Duong, Patrick Pérez
Informed source separation via compressive graph signal sampling. ICASSP (2017)
Gilles Puy, Mike E. Davies, Rémi Gribonval
. IEEE Trans. Inf. Theory 63 (4) (2017)
Nauman Shahid, Nathanaël Perraudin, Gilles Puy, Pierre Vandergheynst
Compressive PCA for Low-Rank Matrices on Graphs. IEEE Trans. Signal Inf. Process. over Networks 3 (4) (2017)
Srdan Kitic, Gilles Puy, Patrick Pérez, Philippe Gilberton
Scattering features for multimodal gait recognition. GlobalSIP (2017)
Yann Traonmilin, Gilles Puy, Rémi Gribonval, Mike E. Davies
Compressed sensing in Hilbert spaces. CoRR (2017)
Gilles Puy, Srdan Kitic, Patrick Pérez
Unifying local and non-local signal processing with graph CNNs. CoRR (2017)
Nicolas Tremblay, Gilles Puy, Rémi Gribonval, Pierre Vandergheynst
Compressive Spectral Clustering. CoRR (2016)
Nauman Shahid, Nathanaël Perraudin, Vassilis Kalofolias, Gilles Puy, Pierre Vandergheynst
Fast Robust PCA on Graphs. IEEE J. Sel. Top. Signal Process. 10 (4) (2016)
Nicolas Tremblay, Gilles Puy, Rémi Gribonval, Pierre Vandergheynst
Compressive Spectral Clustering. ICML (2016)
Nauman Shahid, Nathanaël Perraudin, Gilles Puy, Pierre Vandergheynst
Compressive PCA on Graphs. CoRR (2016)
Nicolas Tremblay, Gilles Puy, Pierre Borgnat, Rémi Gribonval, Pierre Vandergheynst
Accelerated spectral clustering using graph filtering of random signals. ICASSP (2016)
Gilles Puy, Nicolas Tremblay, Rémi Gribonval, Pierre Vandergheynst
Random sampling of bandlimited signals on graphs. CoRR (2015)
Gilles Puy, Mike E. Davies, Rémi Gribonval
Recipes for stable linear embeddings from Hilbert spaces to $\mathbb{R}^m$. CoRR (2015)
Nicolas Tremblay, Gilles Puy, Pierre Borgnat, Rémi Gribonval, Pierre Vandergheynst
Accelerated Spectral Clustering Using Graph Filtering Of Random Signals. CoRR (2015)
Gilles Puy, Mike E. Davies, Rémi Gribonval
. EUSIPCO (2015)
Nathanaël Perraudin, David I. Shuman, Gilles Puy, Pierre Vandergheynst
UNLocBoX A matlab convex optimization toolbox using proximal splitting methods. CoRR (2014)
Cagdas Bilen, Gilles Puy, Rémi Gribonval, Laurent Daudet
Balancing Sparsity and Rank Constraints in Quadratic Basis Pursuit. CoRR (2014)
Mike E. Davies, Gilles Puy, Pierre Vandergheynst, Yves Wiaux
A Compressed Sensing Framework for Magnetic Resonance Fingerprinting. SIAM J. Imaging Sci. 7 (4) (2014)
Cagdas Bilen, Gilles Puy, Rémi Gribonval, Laurent Daudet
Convex Optimization Approaches for Blind Sensor Calibration Using Sparsity. IEEE Trans. Signal Process. 62 (18) (2014)
Mike E. Davies, Gilles Puy, Pierre Vandergheynst, Yves Wiaux
Compressed quantitative MRI: Bloch response recovery through iterated projection. ICASSP (2014)
Gilles Puy, Pierre Vandergheynst
Robust Image Reconstruction from Multiview Measurements. SIAM J. Imaging Sci. 7 (1) (2014)
Laurent Albera, Srdan Kitic, Nancy Bertin, Gilles Puy, Rémi Gribonval
Brain source localization using a physics-driven structured cosparse representation of EEG signals. MLSP (2014)
Cagdas Bilen, Gilles Puy, Rémi Gribonval, Laurent Daudet
Blind phase calibration in sparse recovery. EUSIPCO (2013)
Mike E. Davies, Gilles Puy, Pierre Vandergheynst, Yves Wiaux
Compressed Quantitative MRI: Bloch Response Recovery through Iterated Projection. CoRR (2013)
Jason D. McEwen, Gilles Puy, Jean-Philippe Thiran, Pierre Vandergheynst, Dimitri Van De Ville, Yves Wiaux
Sparse Image Reconstruction on the Sphere: Implications of a New Sampling Theorem. IEEE Trans. Image Process. 22 (6) (2013)
Cagdas Bilen, Gilles Puy, Rémi Gribonval, Laurent Daudet
Convex Optimization Approaches for Blind Sensor Calibration using Sparsity. CoRR (2013)
Mike E. Davies, Gilles Puy, Pierre Vandergheynst, Yves Wiaux
A Compressed Sensing Framework for Magnetic Resonance Fingerprinting. CoRR (2013)
Jason D. McEwen, Gilles Puy, Jean-Philippe Thiran, Pierre Vandergheynst, Dimitri Van De Ville, Yves Wiaux
Sparse signal reconstruction on the sphere: implications of a new sampling theorem CoRR (2012)
Gilles Puy, José P. Marques, Rolf Gruetter, Jean-Philippe Thiran, Dimitri Van De Ville, Pierre Vandergheynst, Yves Wiaux
Spread spectrum magnetic resonance imaging CoRR (2012)
Gilles Puy, Pierre Vandergheynst
Robust image reconstruction from multi-view measurements CoRR (2012)
Gilles Puy, Pierre Vandergheynst, Rémi Gribonval, Yves Wiaux
Universal and efficient compressed sensing by spread spectrum and application to realistic Fourier imaging techniques. EURASIP J. Adv. Signal Process. 2012 (2012)
Anastasios Kyrillidis, Gilles Puy, Volkan Cevher
Hard thresholding with norm constraints. ICASSP (2012)
Gilles Puy, José P. Marques, Rolf Gruetter, Jean-Philippe Thiran, Dimitri Van De Ville, Pierre Vandergheynst, Yves Wiaux
Spread Spectrum Magnetic Resonance Imaging. IEEE Trans. Medical Imaging 31 (3) (2012)
Jason D. McEwen, Gilles Puy, Jean-Philippe Thiran, Pierre Vandergheynst, Dimitri Van De Ville, Yves Wiaux
Sampling theorems and compressive sensing on the sphere CoRR (2011)
Gilles Puy, Pierre Vandergheynst, Rémi Gribonval, Yves Wiaux
Universal and efficient compressed sensing by spread spectrum and application to realistic Fourier imaging techniques CoRR (2011)
Jason D. McEwen, Gilles Puy, Jean-Philippe Thiran, Pierre Vandergheynst, Dimitri Van De Ville, Yves Wiaux
Implications for compressed sensing of a new sampling theorem on the sphere CoRR (2011)
Emmanuel d'Angelo, Johan Paratte, Gilles Puy, Pierre Vandergheynst
Fast TV-L1 optical flow for interactivity. ICIP (2011)
Gilles Puy, Pierre Vandergheynst, Yves Wiaux
On Variable Density Compressive Sampling. IEEE Signal Process. Lett. 18 (10) (2011)
Gilles Puy, Pierre Vandergheynst, Yves Wiaux
On Variable Density Compressive Sampling CoRR (2011)
Gilles Puy, Yves Wiaux, Rolf Gruetter, Jean-Philippe Thiran, Dimitri Van De Ville, Pierre Vandergheynst
Spread spectrum for interferometric and magnetic resonance imaging. ICASSP (2010)
Yves Wiaux, Gilles Puy, Rolf Gruetter, Jean-Philippe Thiran, Dimitri Van De Ville, Pierre Vandergheynst
Spread spectrum for compressed sensing techniques in magnetic resonance imaging. ISBI (2010)
Yves Wiaux, Gilles Puy, Yannick Boursier, Pierre Vandergheynst
Spread spectrum for imaging techniques in radio interferometry CoRR (2009)