Gilles Puy

103 papers A* 12A 1B 3Misc 5Journal 67Unranked 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
Driving on Registers.
CoRR
Ellington Kirby, Alexandre Boulch, Yihong Xu, Yuan Yin, Gilles Puy, Éloi Zablocki, Andrei Bursuc, Spyros Gidaris, Renaud Marlet, Florent Bartoccioni, Anh-Quan Cao, Nermin Samet, Tuan-Hung Vu, Matthieu Cord
2025 J jnl
3D sans 3D Scans: Scalable Pre-training from Video-Generated Point Clouds.
CoRR
Ryousuke Yamada, Kohsuke Ide, Yoshihiro Fukuhara, Hirokatsu Kataoka, Gilles Puy, Andrei Bursuc, Yuki M. Asano
2025 J jnl
Clustering is back: Reaching state-of-the-art LiDAR instance segmentation without training.
CoRR
Corentin Sautier, Gilles Puy, Alexandre Boulch, Renaud Marlet, Vincent Lepetit
2025 J jnl
Improving Multimodal Distillation for 3D Semantic Segmentation under Domain Shift.
CoRR
Björn Michele, Alexandre Boulch, Gilles Puy, Tuan-Hung Vu, Renaud Marlet, Nicolas Courty
2025 J jnl
LOSC: LiDAR Open-voc Segmentation Consolidator.
CoRR
Nermin Samet, Gilles Puy, Renaud Marlet
2025 J jnl
LiDPM: Rethinking Point Diffusion for Lidar Scene Completion.
CoRR
Tetiana Martyniuk, Gilles Puy, Alexandre Boulch, Renaud Marlet, Raoul de Charette
2025 — conf
UNIT: Unsupervised Online Instance Segmentation Through Time.
3DV
Corentin Sautier, Gilles Puy, Alexandre Boulch, Renaud Marlet, Vincent Lepetit
2025 J jnl
Unsupervised Object Localization in the Era of Self-Supervised ViTs: A Survey.
Int. J. Comput. Vis.
Oriane Siméoni, Éloi Zablocki, Spyros Gidaris, Gilles Puy, Patrick Pérez
2024 — conf
BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds.
3DV
Corentin Sautier, Gilles Puy, Alexandre Boulch, Renaud Marlet, Vincent Lepetit
2024 J jnl
MILAN: Milli-Annotations for Lidar Semantic Segmentation.
CoRR
Nermin Samet, Gilles Puy, Oriane Siméoni, Renaud Marlet
2024 — conf
SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation.
3DV
Björn Michele, Alexandre Boulch, Gilles Puy, Tuan-Hung Vu, Renaud Marlet, Nicolas Courty
2024 A* conf
Three Pillars Improving Vision Foundation Model Distillation for Lidar.
CVPR
Gilles Puy, Spyros Gidaris, Alexandre Boulch, Oriane Siméoni, Corentin Sautier, Patrick Pérez, Andrei Bursuc, Renaud Marlet
2024 — conf
Train Till You Drop: Towards Stable and Robust Source-Free Unsupervised 3D Domain Adaptation.
ECCV (20)
Björn Michele, Alexandre Boulch, Tuan-Hung Vu, Gilles Puy, Renaud Marlet, Nicolas Courty
2024 J jnl
Train Till You Drop: Towards Stable and Robust Source-free Unsupervised 3D Domain Adaptation.
CoRR
Björn Michele, Alexandre Boulch, Tuan-Hung Vu, Gilles Puy, Renaud Marlet, Nicolas Courty
2024 J jnl
UNIT: Unsupervised Online Instance Segmentation through Time.
CoRR
Corentin Sautier, Gilles Puy, Alexandre Boulch, Renaud Marlet, Vincent Lepetit
2024 — conf
Valeo4Cast: A Modular Approach to End-to-End Forecasting.
ECCV Workshops (7)
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
2024 J jnl
Valeo4Cast: A Modular Approach to End-to-End Forecasting.
CoRR
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
2023 A* conf
ALSO: Automotive Lidar Self-Supervision by Occupancy Estimation.
CVPR
Alexandre Boulch, Corentin Sautier, Björn Michele, Gilles Puy, Renaud Marlet
2023 J jnl
BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds.
CoRR
Corentin Sautier, Gilles Puy, Alexandre Boulch, Renaud Marlet, Vincent Lepetit
2023 J jnl
Butterfly factorization by algorithmic identification of rank-one blocks.
CoRR
Léon Zheng, Gilles Puy, Elisa Riccietti, Patrick Pérez, Rémi Gribonval
2023 A* conf
RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving.
CVPR
Angelika Ando, Spyros Gidaris, Andrei Bursuc, Gilles Puy, Alexandre Boulch, Renaud Marlet
2023 J jnl
RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving.
CoRR
Angelika Ando, Spyros Gidaris, Andrei Bursuc, Gilles Puy, Alexandre Boulch, Renaud Marlet
2023 J jnl
Revisiting the Distillation of Image Representations into Point Clouds for Autonomous Driving.
CoRR
Gilles Puy, Spyros Gidaris, Alexandre Boulch, Oriane Siméoni, Corentin Sautier, Patrick Pérez, Andrei Bursuc, Renaud Marlet
2023 J jnl
SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation.
CoRR
Björn Michele, Alexandre Boulch, Gilles Puy, Tuan-Hung Vu, Renaud Marlet, Nicolas Courty
2023 A* conf
Self-supervised learning with rotation-invariant kernels.
ICLR
Léon Zheng, Gilles Puy, Elisa Riccietti, Patrick Pérez, Rémi Gribonval
2023 J jnl
Unsupervised Object Localization in the Era of Self-Supervised ViTs: A Survey.
CoRR
Oriane Siméoni, Éloi Zablocki, Spyros Gidaris, Gilles Puy, Patrick Pérez
2023 A* conf
Unsupervised Object Localization: Observing the Background to Discover Objects.
CVPR
Oriane Siméoni, Chloé Sekkat, Gilles Puy, Antonín Vobecký, Éloi Zablocki, Patrick Pérez
2023 A* conf
Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation.
ICCV
Gilles Puy, Alexandre Boulch, Renaud Marlet
2023 J jnl
Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation.
CoRR
Gilles Puy, Alexandre Boulch, Renaud Marlet
2023 A* conf
You Never Get a Second Chance To Make a Good First Impression: Seeding Active Learning for 3D Semantic Segmentation.
ICCV
Nermin Samet, Oriane Siméoni, Gilles Puy, Georgy Ponimatkin, Renaud Marlet, Vincent Lepetit
2023 J jnl
You Never Get a Second Chance To Make a Good First Impression: Seeding Active Learning for 3D Semantic Segmentation.
CoRR
Nermin Samet, Oriane Siméoni, Gilles Puy, Georgy Ponimatkin, Renaud Marlet, Vincent Lepetit
2022 J jnl
ALSO: Automotive Lidar Self-supervision by Occupancy estimation.
CoRR
Alexandre Boulch, Corentin Sautier, Björn Michele, Gilles Puy, Renaud Marlet
2022 A* conf
Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data.
CVPR
Corentin Sautier, Gilles Puy, Spyros Gidaris, Alexandre Boulch, Andrei Bursuc, Renaud Marlet
2022 J jnl
Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data.
CoRR
Corentin Sautier, Gilles Puy, Spyros Gidaris, Alexandre Boulch, Andrei Bursuc, Renaud Marlet
2022 J jnl
Self-supervised learning with rotation-invariant kernels.
CoRR
Léon Zheng, Gilles Puy, Elisa Riccietti, Patrick Pérez, Rémi Gribonval
2022 J jnl
Take One Gram of Neural Features, Get Enhanced Group Robustness.
CoRR
Simon Roburin, Charles Corbière, Gilles Puy, Nicolas Thome, Mathieu Aubry, Renaud Marlet, Patrick Pérez
2022 J jnl
Unsupervised Object Localization: Observing the Background to Discover Objects.
CoRR
Oriane Siméoni, Chloé Sekkat, Gilles Puy, Antonín Vobecký, Éloi Zablocki, Patrick Pérez
2021 — conf
FacialFilmroll: High-resolution multi-shot video editing.
CVMP
Bharath Bhushan Damodaran, Emmanuel Jolly, Gilles Puy, Philippe-Henri Gosselin, Cédric Thébault, Junghyun Ahn, Tim Christensen, Paul Ghezzo, Pierre Hellier
2021 J jnl
FacialFilmroll: High-resolution multi-shot video editing.
CoRR
Bharath Bhushan Damodaran, Emmanuel Jolly, Gilles Puy, Philippe Henri Gosselin, Cédric Thébault, Junghyun Ahn, Tim Christensen, Paul Ghezzo, Pierre Hellier
2021 J jnl
Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Cloud.
CoRR
Björn Michele, Alexandre Boulch, Gilles Puy, Maxime Bucher, Renaud Marlet
2021 — conf
Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds.
3DV
Björn Michele, Alexandre Boulch, Gilles Puy, Maxime Bucher, Renaud Marlet
2021 J jnl
Localizing Objects with Self-Supervised Transformers and no Labels.
CoRR
Oriane Siméoni, Gilles Puy, Huy V. Vo, Simon Roburin, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Renaud Marlet, Jean Ponce
2021 A conf
Localizing Objects with Self-supervised Transformers and no Labels.
BMVC
Oriane Siméoni, Gilles Puy, Huy V. Vo, Simon Roburin, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Renaud Marlet, Jean Ponce
2021 — conf
NeeDrop: Self-supervised Shape Representation from Sparse Point Clouds using Needle Dropping.
3DV
Alexandre Boulch, Pierre-Alain Langlois, Gilles Puy, Renaud Marlet
2021 J jnl
NeeDrop: Self-supervised Shape Representation from Sparse Point Clouds using Needle Dropping.
CoRR
Alexandre Boulch, Pierre-Alain Langlois, Gilles Puy, Renaud Marlet
2021 A* conf
OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning.
CVPR
Spyros Gidaris, Andrei Bursuc, Gilles Puy, Nikos Komodakis, Matthieu Cord, Patrick Pérez
2021 A* conf
PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds.
ICCV
Anh-Quan Cao, Gilles Puy, Alexandre Boulch, Renaud Marlet
2021 J jnl
PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds.
CoRR
Anh-Quan Cao, Gilles Puy, Alexandre Boulch, Renaud Marlet
2020 — conf
FKAConv: Feature-Kernel Alignment for Point Cloud Convolution.
ACCV (1)
Alexandre Boulch, Gilles Puy, Renaud Marlet
2020 — conf
FLOT: Scene Flow on Point Clouds Guided by Optimal Transport.
ECCV (28)
Gilles Puy, Alexandre Boulch, Renaud Marlet
2020 J jnl
FLOT: Scene Flow on Point Clouds Guided by Optimal Transport.
CoRR
Gilles Puy, Alexandre Boulch, Renaud Marlet
2020 B conf
High Resolution Face Age Editing.
ICPR
Xu Yao, Gilles Puy, Alasdair Newson, Yann Gousseau, Pierre Hellier
2020 J jnl
High Resolution Face Age Editing.
CoRR
Xu Yao, Gilles Puy, Alasdair Newson, Yann Gousseau, Pierre Hellier
2020 J jnl
LightConvPoint: convolution for points.
CoRR
Alexandre Boulch, Gilles Puy, Renaud Marlet
2020 J jnl
Online Bag-of-Visual-Words Generation for Unsupervised Representation Learning.
CoRR
Spyros Gidaris, Andrei Bursuc, Gilles Puy, Nikos Komodakis, Matthieu Cord, Patrick Pérez
2020 J jnl
Photo style transfer with consistency losses.
CoRR
Xu Yao, Gilles Puy, Patrick Pérez
2020 J jnl
Scattering Features for Multimodal Gait Recognition.
CoRR
Srdan Kitic, Gilles Puy, Patrick Pérez, Philippe Gilberton
2019 A* conf
A Flexible Convolutional Solver for Fast Style Transfers.
CVPR
Gilles Puy, Patrick Pérez
2019 B conf
Photo Style Transfer With Consistency Losses.
ICIP
Xu Yao, Gilles Puy, Patrick Pérez
2018 J jnl
A Flexible Convolutional Solver with Application to Photorealistic Style Transfer.
CoRR
Gilles Puy, Patrick Pérez
2017 J jnl
Compressed sensing in Hilbert spaces.
CoRR
Yann Traonmilin, Gilles Puy, Rémi Gribonval, Mike E. Davies
2017 J jnl
Compressive PCA for Low-Rank Matrices on Graphs.
IEEE Trans. Signal Inf. Process. over Networks
Nauman Shahid, Nathanaël Perraudin, Gilles Puy, Pierre Vandergheynst
2017 Misc conf
Informed source separation via compressive graph signal sampling.
ICASSP
Gilles Puy, Alexey Ozerov, Ngoc Q. K. Duong, Patrick Pérez
2017 J jnl
Recipes for Stable Linear Embeddings From Hilbert Spaces to ℝ
IEEE Trans. Inf. Theory
Gilles Puy, Mike E. Davies, Rémi Gribonval
2017 — conf
Scattering features for multimodal gait recognition.
GlobalSIP
Srdan Kitic, Gilles Puy, Patrick Pérez, Philippe Gilberton
2017 J jnl
Structured sampling and fast reconstruction of smooth graph signals.
CoRR
Gilles Puy, Patrick Pérez
2017 J jnl
Unifying local and non-local signal processing with graph CNNs.
CoRR
Gilles Puy, Srdan Kitic, Patrick Pérez
2016 Misc conf
Accelerated spectral clustering using graph filtering of random signals.
ICASSP
Nicolas Tremblay, Gilles Puy, Pierre Borgnat, Rémi Gribonval, Pierre Vandergheynst
2016 J jnl
Compressive PCA on Graphs.
CoRR
Nauman Shahid, Nathanaël Perraudin, Gilles Puy, Pierre Vandergheynst
2016 A* conf
Compressive Spectral Clustering.
ICML
Nicolas Tremblay, Gilles Puy, Rémi Gribonval, Pierre Vandergheynst
2016 J jnl
Compressive Spectral Clustering.
CoRR
Nicolas Tremblay, Gilles Puy, Rémi Gribonval, Pierre Vandergheynst
2016 J jnl
Fast Robust PCA on Graphs.
IEEE J. Sel. Top. Signal Process.
Nauman Shahid, Nathanaël Perraudin, Vassilis Kalofolias, Gilles Puy, Pierre Vandergheynst
2015 J jnl
Accelerated Spectral Clustering Using Graph Filtering Of Random Signals.
CoRR
Nicolas Tremblay, Gilles Puy, Pierre Borgnat, Rémi Gribonval, Pierre Vandergheynst
2015 — conf
Linear embeddings of low-dimensional subsets of a Hilbert space to R
EUSIPCO
Gilles Puy, Mike E. Davies, Rémi Gribonval
2015 J jnl
Random sampling of bandlimited signals on graphs.
CoRR
Gilles Puy, Nicolas Tremblay, Rémi Gribonval, Pierre Vandergheynst
2015 J jnl
Recipes for stable linear embeddings from Hilbert spaces to $\mathbb{R}^m$.
CoRR
Gilles Puy, Mike E. Davies, Rémi Gribonval
2014 J jnl
A Compressed Sensing Framework for Magnetic Resonance Fingerprinting.
SIAM J. Imaging Sci.
Mike E. Davies, Gilles Puy, Pierre Vandergheynst, Yves Wiaux
2014 J jnl
Balancing Sparsity and Rank Constraints in Quadratic Basis Pursuit.
CoRR
Cagdas Bilen, Gilles Puy, Rémi Gribonval, Laurent Daudet
2014 — conf
Brain source localization using a physics-driven structured cosparse representation of EEG signals.
MLSP
Laurent Albera, Srdan Kitic, Nancy Bertin, Gilles Puy, Rémi Gribonval
2014 Misc conf
Compressed quantitative MRI: Bloch response recovery through iterated projection.
ICASSP
Mike E. Davies, Gilles Puy, Pierre Vandergheynst, Yves Wiaux
2014 J jnl
Convex Optimization Approaches for Blind Sensor Calibration Using Sparsity.
IEEE Trans. Signal Process.
Cagdas Bilen, Gilles Puy, Rémi Gribonval, Laurent Daudet
2014 J jnl
Robust Image Reconstruction from Multiview Measurements.
SIAM J. Imaging Sci.
Gilles Puy, Pierre Vandergheynst
2014 J jnl
UNLocBoX A matlab convex optimization toolbox using proximal splitting methods.
CoRR
Nathanaël Perraudin, David I. Shuman, Gilles Puy, Pierre Vandergheynst
2013 J jnl
A Compressed Sensing Framework for Magnetic Resonance Fingerprinting.
CoRR
Mike E. Davies, Gilles Puy, Pierre Vandergheynst, Yves Wiaux
2013 — conf
Blind phase calibration in sparse recovery.
EUSIPCO
Cagdas Bilen, Gilles Puy, Rémi Gribonval, Laurent Daudet
2013 J jnl
Compressed Quantitative MRI: Bloch Response Recovery through Iterated Projection.
CoRR
Mike E. Davies, Gilles Puy, Pierre Vandergheynst, Yves Wiaux
2013 J jnl
Convex Optimization Approaches for Blind Sensor Calibration using Sparsity.
CoRR
Cagdas Bilen, Gilles Puy, Rémi Gribonval, Laurent Daudet
2013 J jnl
Sparse Image Reconstruction on the Sphere: Implications of a New Sampling Theorem.
IEEE Trans. Image Process.
Jason D. McEwen, Gilles Puy, Jean-Philippe Thiran, Pierre Vandergheynst, Dimitri Van De Ville, Yves Wiaux
2012 Misc conf
Hard thresholding with norm constraints.
ICASSP
Anastasios Kyrillidis, Gilles Puy, Volkan Cevher
2012 J jnl
Robust image reconstruction from multi-view measurements
CoRR
Gilles Puy, Pierre Vandergheynst
2012 J jnl
Sparse signal reconstruction on the sphere: implications of a new sampling theorem
CoRR
Jason D. McEwen, Gilles Puy, Jean-Philippe Thiran, Pierre Vandergheynst, Dimitri Van De Ville, Yves Wiaux
2012 J jnl
Spread Spectrum Magnetic Resonance Imaging.
IEEE Trans. Medical Imaging
Gilles Puy, José P. Marques, Rolf Gruetter, Jean-Philippe Thiran, Dimitri Van De Ville, Pierre Vandergheynst, Yves Wiaux
2012 J jnl
Spread spectrum magnetic resonance imaging
CoRR
Gilles Puy, José P. Marques, Rolf Gruetter, Jean-Philippe Thiran, Dimitri Van De Ville, Pierre Vandergheynst, Yves Wiaux
2012 J jnl
Universal and efficient compressed sensing by spread spectrum and application to realistic Fourier imaging techniques.
EURASIP J. Adv. Signal Process.
Gilles Puy, Pierre Vandergheynst, Rémi Gribonval, Yves Wiaux
2011 B conf
Fast TV-L1 optical flow for interactivity.
ICIP
Emmanuel D'Angelo, Johan Paratte, Gilles Puy, Pierre Vandergheynst
2011 J jnl
Implications for compressed sensing of a new sampling theorem on the sphere
CoRR
Jason D. McEwen, Gilles Puy, Jean-Philippe Thiran, Pierre Vandergheynst, Dimitri Van De Ville, Yves Wiaux
2011 J jnl
On Variable Density Compressive Sampling
CoRR
Gilles Puy, Pierre Vandergheynst, Yves Wiaux
2011 J jnl
On Variable Density Compressive Sampling.
IEEE Signal Process. Lett.
Gilles Puy, Pierre Vandergheynst, Yves Wiaux
2011 J jnl
Sampling theorems and compressive sensing on the sphere
CoRR
Jason D. McEwen, Gilles Puy, Jean-Philippe Thiran, Pierre Vandergheynst, Dimitri Van De Ville, Yves Wiaux
2011 J jnl
Universal and efficient compressed sensing by spread spectrum and application to realistic Fourier imaging techniques
CoRR
Gilles Puy, Pierre Vandergheynst, Rémi Gribonval, Yves Wiaux
2010 — conf
Spread spectrum for compressed sensing techniques in magnetic resonance imaging.
ISBI
Yves Wiaux, Gilles Puy, Rolf Gruetter, Jean-Philippe Thiran, Dimitri Van De Ville, Pierre Vandergheynst
2010 Misc conf
Spread spectrum for interferometric and magnetic resonance imaging.
ICASSP
Gilles Puy, Yves Wiaux, Rolf Gruetter, Jean-Philippe Thiran, Dimitri Van De Ville, Pierre Vandergheynst
2009 J jnl
Spread spectrum for imaging techniques in radio interferometry
CoRR
Yves Wiaux, Gilles Puy, Yannick Boursier, Pierre Vandergheynst