Spread spectrum for imaging techniques in radio interferometry - Yves Wiaux; Gilles Puy; Yannick Boursier; Pierre Vandergheynst (CoRR, 2009)

Spread spectrum for interferometric and magnetic resonance imaging. - Gilles Puy; Yves Wiaux; Rolf Gruetter; Jean-Philippe Thiran; Dimitri Van De Ville; Pierre Vandergheynst (ICASSP, 2010)

Spread spectrum for compressed sensing techniques in magnetic resonance imaging. - Yves Wiaux; Gilles Puy; Rolf Gruetter; Jean-Philippe Thiran; Dimitri Van De Ville; Pierre Vandergheynst (ISBI, 2010)

Fast TV-L1 optical flow for interactivity. - Emmanuel d'Angelo; Johan Paratte; Gilles Puy; Pierre Vandergheynst (ICIP, 2011)

Implications for compressed sensing of a new sampling theorem on the sphere - Jason D. McEwen; Gilles Puy; Jean-Philippe Thiran; Pierre Vandergheynst; Dimitri Van De Ville; Yves Wiaux (CoRR, 2011)

Sampling theorems and compressive sensing on the sphere - Jason D. McEwen; Gilles Puy; Jean-Philippe Thiran; Pierre Vandergheynst; Dimitri Van De Ville; Yves Wiaux (CoRR, 2011)

On Variable Density Compressive Sampling. - Gilles Puy; Pierre Vandergheynst; Yves Wiaux (IEEE Signal Process. Lett., 2011)

Hard thresholding with norm constraints. - Anastasios Kyrillidis; Gilles Puy; Volkan Cevher (ICASSP, 2012)

Sparse signal reconstruction on the sphere: implications of a new sampling theorem - Jason D. McEwen; Gilles Puy; Jean-Philippe Thiran; Pierre Vandergheynst; Dimitri Van De Ville; Yves Wiaux (CoRR, 2012)

Robust image reconstruction from multi-view measurements - Gilles Puy; Pierre Vandergheynst (CoRR, 2012)

Universal and efficient compressed sensing by spread spectrum and application to realistic Fourier imaging techniques. - Gilles Puy; Pierre Vandergheynst; Rémi Gribonval; Yves Wiaux (EURASIP J. Adv. Signal Process., 2012)

Spread Spectrum Magnetic Resonance Imaging. - Gilles Puy; José P. Marques; Rolf Gruetter; Jean-Philippe Thiran; Dimitri Van De Ville; Pierre Vandergheynst; Yves Wiaux (IEEE Trans. Medical Imaging, 2012)

Blind phase calibration in sparse recovery. - Cagdas Bilen; Gilles Puy; Rémi Gribonval; Laurent Daudet (EUSIPCO, 2013)

Sparse Image Reconstruction on the Sphere: Implications of a New Sampling Theorem. - Jason D. McEwen; Gilles Puy; Jean-Philippe Thiran; Pierre Vandergheynst; Dimitri Van De Ville; Yves Wiaux (IEEE Trans. Image Process., 2013)

Compressed quantitative MRI: Bloch response recovery through iterated projection. - Mike E. Davies 001; Gilles Puy; Pierre Vandergheynst; Yves Wiaux (ICASSP, 2014)

Brain source localization using a physics-driven structured cosparse representation of EEG signals. - Laurent Albera; Srdan Kitic; Nancy Bertin; Gilles Puy; Rémi Gribonval (MLSP, 2014)

Balancing Sparsity and Rank Constraints in Quadratic Basis Pursuit. - Cagdas Bilen; Gilles Puy; Rémi Gribonval; Laurent Daudet (CoRR, 2014)

UNLocBoX A matlab convex optimization toolbox using proximal splitting methods. - Nathanaël Perraudin; David I. Shuman; Gilles Puy; Pierre Vandergheynst (CoRR, 2014)

A Compressed Sensing Framework for Magnetic Resonance Fingerprinting. - Mike E. Davies 001; Gilles Puy; Pierre Vandergheynst; Yves Wiaux (SIAM J. Imaging Sci., 2014)

Robust Image Reconstruction from Multiview Measurements. - Gilles Puy; Pierre Vandergheynst (SIAM J. Imaging Sci., 2014)

Convex Optimization Approaches for Blind Sensor Calibration Using Sparsity. - Cagdas Bilen; Gilles Puy; Rémi Gribonval; Laurent Daudet (IEEE Trans. Signal Process., 2014)

Linear embeddings of low-dimensional subsets of a Hilbert space to Rm. - Gilles Puy; Mike E. Davies 001; Rémi Gribonval (EUSIPCO, 2015)

Recipes for stable linear embeddings from Hilbert spaces to $ mathbb{R}^m$. - Gilles Puy; Mike E. Davies 001; Rémi Gribonval (CoRR, 2015)

Random sampling of bandlimited signals on graphs. - Gilles Puy; Nicolas Tremblay; Rémi Gribonval; Pierre Vandergheynst (CoRR, 2015)

Accelerated spectral clustering using graph filtering of random signals. - Nicolas Tremblay; Gilles Puy; Pierre Borgnat; Rémi Gribonval; Pierre Vandergheynst (ICASSP, 2016)

Compressive Spectral Clustering. - Nicolas Tremblay; Gilles Puy; Rémi Gribonval; Pierre Vandergheynst (ICML, 2016)

Compressive PCA on Graphs. - Nauman Shahid; Nathanaël Perraudin; Gilles Puy; Pierre Vandergheynst (CoRR, 2016)

Fast Robust PCA on Graphs. - Nauman Shahid; Nathanaël Perraudin; Vassilis Kalofolias; Gilles Puy; Pierre Vandergheynst (IEEE J. Sel. Top. Signal Process., 2016)

Scattering features for multimodal gait recognition. - Srdan Kitic; Gilles Puy; Patrick Pérez; Philippe Gilberton (GlobalSIP, 2017)

Informed source separation via compressive graph signal sampling. - Gilles Puy; Alexey Ozerov; Ngoc Q. K. Duong; Patrick Pérez (ICASSP, 2017)

Unifying local and non-local signal processing with graph CNNs. - Gilles Puy; Srdan Kitic; Patrick Pérez (CoRR, 2017)

Structured sampling and fast reconstruction of smooth graph signals. - Gilles Puy; Patrick Pérez (CoRR, 2017)

Compressed sensing in Hilbert spaces. - Yann Traonmilin; Gilles Puy; Rémi Gribonval; Mike E. Davies 001 (CoRR, 2017)

Recipes for Stable Linear Embeddings From Hilbert Spaces to ℝm. - Gilles Puy; Mike E. Davies 001; Rémi Gribonval (IEEE Trans. Inf. Theory, 2017)

Compressive PCA for Low-Rank Matrices on Graphs. - Nauman Shahid; Nathanaël Perraudin; Gilles Puy; Pierre Vandergheynst (IEEE Trans. Signal Inf. Process. over Networks, 2017)

A Flexible Convolutional Solver with Application to Photorealistic Style Transfer. - Gilles Puy; Patrick Pérez (CoRR, 2018)

A Flexible Convolutional Solver for Fast Style Transfers. - Gilles Puy; Patrick Pérez (CVPR, 2019)

Photo Style Transfer With Consistency Losses. - Xu Yao; Gilles Puy; Patrick Pérez (ICIP, 2019)

FKAConv: Feature-Kernel Alignment for Point Cloud Convolution. - Alexandre Boulch; Gilles Puy; Renaud Marlet (ACCV (1), 2020)

FLOT: Scene Flow on Point Clouds Guided by Optimal Transport. - Gilles Puy; Alexandre Boulch; Renaud Marlet (ECCV (28), 2020)

High Resolution Face Age Editing. - Xu Yao; Gilles Puy; Alasdair Newson; Yann Gousseau; Pierre Hellier (ICPR, 2020)

LightConvPoint: convolution for points. - Alexandre Boulch; Gilles Puy; Renaud Marlet (CoRR, 2020)

Online Bag-of-Visual-Words Generation for Unsupervised Representation Learning. - Spyros Gidaris; Andrei Bursuc; Gilles Puy; Nikos Komodakis; Matthieu Cord; Patrick Pérez (CoRR, 2020)

NeeDrop: Self-supervised Shape Representation from Sparse Point Clouds using Needle Dropping. - Alexandre Boulch; Pierre-Alain Langlois; Gilles Puy; Renaud Marlet (3DV, 2021)

Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds. - Björn Michele; Alexandre Boulch; Gilles Puy; Maxime Bucher; Renaud Marlet (3DV, 2021)

Localizing Objects with Self-supervised Transformers and no Labels. - Oriane Siméoni; Gilles Puy; Huy V. Vo; Simon Roburin; Spyros Gidaris; Andrei Bursuc; Patrick Pérez; Renaud Marlet; Jean Ponce (BMVC, 2021)

FacialFilmroll: High-resolution multi-shot video editing. - Bharath Bhushan Damodaran; Emmanuel Jolly; Gilles Puy; Philippe-Henri Gosselin; Cédric Thébault; Junghyun Ahn; Tim Christensen; Paul Ghezzo; Pierre Hellier (CVMP, 2021)

OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning. - Spyros Gidaris; Andrei Bursuc; Gilles Puy; Nikos Komodakis; Matthieu Cord; Patrick Pérez (CVPR, 2021)

PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds. - Anh-Quan Cao; Gilles Puy; Alexandre Boulch; Renaud Marlet (ICCV, 2021)

Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Cloud. - Björn Michele; Alexandre Boulch; Gilles Puy; Maxime Bucher; Renaud Marlet (CoRR, 2021)

Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data. - Corentin Sautier; Gilles Puy; Spyros Gidaris; Alexandre Boulch; Andrei Bursuc; Renaud Marlet (CVPR, 2022)

Take One Gram of Neural Features, Get Enhanced Group Robustness. - Simon Roburin; Charles Corbière; Gilles Puy; Nicolas Thome; Mathieu Aubry; Renaud Marlet; Patrick Pérez (CoRR, 2022)

RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving. - Angelika Ando; Spyros Gidaris; Andrei Bursuc; Gilles Puy; Alexandre Boulch; Renaud Marlet (CVPR, 2023)

ALSO: Automotive Lidar Self-Supervision by Occupancy Estimation. - Alexandre Boulch; Corentin Sautier; Björn Michele; Gilles Puy; Renaud Marlet (CVPR, 2023)

Unsupervised Object Localization: Observing the Background to Discover Objects. - Oriane Siméoni; Chloé Sekkat; Gilles Puy; Antonín Vobecký; Éloi Zablocki; Patrick Pérez (CVPR, 2023)

Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation. - Gilles Puy; Alexandre Boulch; Renaud Marlet (ICCV, 2023)

You Never Get a Second Chance To Make a Good First Impression: Seeding Active Learning for 3D Semantic Segmentation. - Nermin Samet; Oriane Siméoni; Gilles Puy; Georgy Ponimatkin; Renaud Marlet; Vincent Lepetit (ICCV, 2023)

Self-supervised learning with rotation-invariant kernels. - Léon Zheng; Gilles Puy; Elisa Riccietti; Patrick Pérez; Rémi Gribonval (ICLR, 2023)

Butterfly factorization by algorithmic identification of rank-one blocks. - Léon Zheng; Gilles Puy; Elisa Riccietti; Patrick Pérez; Rémi Gribonval (CoRR, 2023)

Revisiting the Distillation of Image Representations into Point Clouds for Autonomous Driving. - Gilles Puy; Spyros Gidaris; Alexandre Boulch; Oriane Siméoni; Corentin Sautier; Patrick Pérez; Andrei Bursuc; Renaud Marlet (CoRR, 2023)

SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation. - Björn Michele; Alexandre Boulch; Gilles Puy; Tuan-Hung Vu; Renaud Marlet; Nicolas Courty (3DV, 2024)

BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds. - Corentin Sautier; Gilles Puy; Alexandre Boulch; Renaud Marlet; Vincent Lepetit (3DV, 2024)

Three Pillars Improving Vision Foundation Model Distillation for Lidar. - Gilles Puy; Spyros Gidaris; Alexandre Boulch; Oriane Siméoni; Corentin Sautier; Patrick Pérez; Andrei Bursuc; Renaud Marlet (CVPR, 2024)

Train Till You Drop: Towards Stable and Robust Source-Free Unsupervised 3D Domain Adaptation. - Björn Michele; Alexandre Boulch; Tuan-Hung Vu; Gilles Puy; Renaud Marlet; Nicolas Courty (ECCV (20), 2024)

Valeo4Cast: A Modular Approach to End-to-End Forecasting. - 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; et al. (ECCV Workshops (7), 2024)

MILAN: Milli-Annotations for Lidar Semantic Segmentation. - Nermin Samet; Gilles Puy; Oriane Siméoni; Renaud Marlet (CoRR, 2024)

UNIT: Unsupervised Online Instance Segmentation Through Time. - Corentin Sautier; Gilles Puy; Alexandre Boulch; Renaud Marlet; Vincent Lepetit (3DV, 2025)

Unsupervised Object Localization in the Era of Self-Supervised ViTs: A Survey. - Oriane Siméoni; Éloi Zablocki; Spyros Gidaris; Gilles Puy; Patrick Pérez (Int. J. Comput. Vis., 2025)

Clustering is back: Reaching state-of-the-art LiDAR instance segmentation without training. - Corentin Sautier; Gilles Puy; Alexandre Boulch; Renaud Marlet; Vincent Lepetit (CoRR, 2025)

LiDPM: Rethinking Point Diffusion for Lidar Scene Completion. - Tetiana Martyniuk; Gilles Puy; Alexandre Boulch; Renaud Marlet; Raoul de Charette (CoRR, 2025)

LOSC: LiDAR Open-voc Segmentation Consolidator. - Nermin Samet; Gilles Puy; Renaud Marlet (CoRR, 2025)