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Gilles Puy
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2020 – today
- 2024
- [c34]Björn Michele, Alexandre Boulch, Gilles Puy, Tuan-Hung Vu, Renaud Marlet, Nicolas Courty:
SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation. 3DV 2024: 421-431 - [c33]Corentin Sautier, Gilles Puy, Alexandre Boulch, Renaud Marlet, Vincent Lepetit:
BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds. 3DV 2024: 559-568 - [c32]Gilles Puy, Spyros Gidaris, Alexandre Boulch, Oriane Siméoni, Corentin Sautier, Patrick Pérez, Andrei Bursuc, Renaud Marlet:
Three Pillars Improving Vision Foundation Model Distillation for Lidar. CVPR 2024: 21519-21529 - [c31]Björn Michele, Alexandre Boulch, Tuan-Hung Vu, Gilles Puy, Renaud Marlet, Nicolas Courty:
Train Till You Drop: Towards Stable and Robust Source-Free Unsupervised 3D Domain Adaptation. ECCV (20) 2024: 1-19 - [i50]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 abs/2406.08113 (2024) - [i49]Nermin Samet, Gilles Puy, Oriane Siméoni, Renaud Marlet:
MILAN: Milli-Annotations for Lidar Semantic Segmentation. CoRR abs/2407.15797 (2024) - [i48]Björn Michele, Alexandre Boulch, Tuan-Hung Vu, Gilles Puy, Renaud Marlet, Nicolas Courty:
Train Till You Drop: Towards Stable and Robust Source-free Unsupervised 3D Domain Adaptation. CoRR abs/2409.04409 (2024) - [i47]Corentin Sautier, Gilles Puy, Alexandre Boulch, Renaud Marlet, Vincent Lepetit:
UNIT: Unsupervised Online Instance Segmentation through Time. CoRR abs/2409.07887 (2024) - 2023
- [c30]Oriane Siméoni, Chloé Sekkat, Gilles Puy, Antonín Vobecký, Éloi Zablocki, Patrick Pérez:
Unsupervised Object Localization: Observing the Background to Discover Objects. CVPR 2023: 3176-3186 - [c29]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: 5240-5250 - [c28]Alexandre Boulch, Corentin Sautier, Björn Michele, Gilles Puy, Renaud Marlet:
ALSO: Automotive Lidar Self-Supervision by Occupancy Estimation. CVPR 2023: 13455-13465 - [c27]Gilles Puy, Alexandre Boulch, Renaud Marlet:
Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation. ICCV 2023: 3356-3366 - [c26]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: 18399-18411 - [c25]Léon Zheng, Gilles Puy, Elisa Riccietti, Patrick Pérez, Rémi Gribonval:
Self-supervised learning with rotation-invariant kernels. ICLR 2023 - [i46]Gilles Puy, Alexandre Boulch, Renaud Marlet:
Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation. CoRR abs/2301.10100 (2023) - [i45]Angelika Ando, Spyros Gidaris, Andrei Bursuc, Gilles Puy, Alexandre Boulch, Renaud Marlet:
RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving. CoRR abs/2301.10222 (2023) - [i44]Björn Michele, Alexandre Boulch, Gilles Puy, Tuan-Hung Vu, Renaud Marlet, Nicolas Courty:
SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation. CoRR abs/2304.03251 (2023) - [i43]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 abs/2304.11762 (2023) - [i42]Léon Zheng, Gilles Puy, Elisa Riccietti, Patrick Pérez, Rémi Gribonval:
Butterfly factorization by algorithmic identification of rank-one blocks. CoRR abs/2307.00820 (2023) - [i41]Oriane Siméoni, Éloi Zablocki, Spyros Gidaris, Gilles Puy, Patrick Pérez:
Unsupervised Object Localization in the Era of Self-Supervised ViTs: A Survey. CoRR abs/2310.12904 (2023) - [i40]Corentin Sautier, Gilles Puy, Alexandre Boulch, Renaud Marlet, Vincent Lepetit:
BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds. CoRR abs/2310.17281 (2023) - [i39]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 abs/2310.17504 (2023) - 2022
- [c24]Corentin Sautier, Gilles Puy, Spyros Gidaris, Alexandre Boulch, Andrei Bursuc, Renaud Marlet:
Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data. CVPR 2022: 9881-9891 - [i38]Corentin Sautier, Gilles Puy, Spyros Gidaris, Alexandre Boulch, Andrei Bursuc, Renaud Marlet:
Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data. CoRR abs/2203.16258 (2022) - [i37]Léon Zheng, Gilles Puy, Elisa Riccietti, Patrick Pérez, Rémi Gribonval:
Self-supervised learning with rotation-invariant kernels. CoRR abs/2208.00789 (2022) - [i36]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 abs/2208.12625 (2022) - [i35]Alexandre Boulch, Corentin Sautier, Björn Michele, Gilles Puy, Renaud Marlet:
ALSO: Automotive Lidar Self-supervision by Occupancy estimation. CoRR abs/2212.05867 (2022) - [i34]Oriane Siméoni, Chloé Sekkat, Gilles Puy, Antonín Vobecký, Éloi Zablocki, Patrick Pérez:
Unsupervised Object Localization: Observing the Background to Discover Objects. CoRR abs/2212.07834 (2022) - 2021
- [c23]Alexandre Boulch, Pierre-Alain Langlois, Gilles Puy, Renaud Marlet:
NeeDrop: Self-supervised Shape Representation from Sparse Point Clouds using Needle Dropping. 3DV 2021: 940-950 - [c22]Björn Michele, Alexandre Boulch, Gilles Puy, Maxime Bucher, Renaud Marlet:
Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds. 3DV 2021: 992-1002 - [c21]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: 310 - [c20]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: 5:1-5:10 - [c19]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: 6830-6840 - [c18]Anh-Quan Cao, Gilles Puy, Alexandre Boulch, Renaud Marlet:
PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds. ICCV 2021: 13209-13218 - [i33]Björn Michele, Alexandre Boulch, Gilles Puy, Maxime Bucher, Renaud Marlet:
Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Cloud. CoRR abs/2108.06230 (2021) - [i32]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 abs/2109.14279 (2021) - [i31]Anh-Quan Cao, Gilles Puy, Alexandre Boulch, Renaud Marlet:
PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds. CoRR abs/2110.01269 (2021) - [i30]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 abs/2110.02124 (2021) - [i29]Alexandre Boulch, Pierre-Alain Langlois, Gilles Puy, Renaud Marlet:
NeeDrop: Self-supervised Shape Representation from Sparse Point Clouds using Needle Dropping. CoRR abs/2111.15207 (2021) - 2020
- [c17]Alexandre Boulch, Gilles Puy, Renaud Marlet:
FKAConv: Feature-Kernel Alignment for Point Cloud Convolution. ACCV (1) 2020: 381-399 - [c16]Gilles Puy, Alexandre Boulch, Renaud Marlet:
FLOT: Scene Flow on Point Clouds Guided by Optimal Transport. ECCV (28) 2020: 527-544 - [c15]Xu Yao, Gilles Puy, Alasdair Newson, Yann Gousseau, Pierre Hellier:
High Resolution Face Age Editing. ICPR 2020: 8624-8631 - [i28]Srdan Kitic, Gilles Puy, Patrick Pérez, Philippe Gilberton:
Scattering Features for Multimodal Gait Recognition. CoRR abs/2001.08830 (2020) - [i27]Alexandre Boulch, Gilles Puy, Renaud Marlet:
LightConvPoint: convolution for points. CoRR abs/2004.04462 (2020) - [i26]Xu Yao, Gilles Puy, Patrick Pérez:
Photo style transfer with consistency losses. CoRR abs/2005.04408 (2020) - [i25]Xu Yao, Gilles Puy, Alasdair Newson, Yann Gousseau, Pierre Hellier:
High Resolution Face Age Editing. CoRR abs/2005.04410 (2020) - [i24]Gilles Puy, Alexandre Boulch, Renaud Marlet:
FLOT: Scene Flow on Point Clouds Guided by Optimal Transport. CoRR abs/2007.11142 (2020) - [i23]Spyros Gidaris, Andrei Bursuc, Gilles Puy, Nikos Komodakis, Matthieu Cord, Patrick Pérez:
Online Bag-of-Visual-Words Generation for Unsupervised Representation Learning. CoRR abs/2012.11552 (2020)
2010 – 2019
- 2019
- [c14]Gilles Puy, Patrick Pérez:
A Flexible Convolutional Solver for Fast Style Transfers. CVPR 2019: 8963-8972 - [c13]Xu Yao, Gilles Puy, Patrick Pérez:
Photo Style Transfer With Consistency Losses. ICIP 2019: 2314-2318 - 2018
- [i22]Gilles Puy, Patrick Pérez:
A Flexible Convolutional Solver with Application to Photorealistic Style Transfer. CoRR abs/1806.05285 (2018) - 2017
- [j10]Gilles Puy, Mike E. Davies, Rémi Gribonval:
Recipes for Stable Linear Embeddings From Hilbert Spaces to ℝm. IEEE Trans. Inf. Theory 63(4): 2171-2187 (2017) - [j9]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): 695-710 (2017) - [c12]Srdan Kitic, Gilles Puy, Patrick Pérez, Philippe Gilberton:
Scattering features for multimodal gait recognition. GlobalSIP 2017: 843-847 - [c11]Gilles Puy, Alexey Ozerov, Ngoc Q. K. Duong, Patrick Pérez:
Informed source separation via compressive graph signal sampling. ICASSP 2017: 1-5 - [i21]Yann Traonmilin, Gilles Puy, Rémi Gribonval, Mike E. Davies:
Compressed sensing in Hilbert spaces. CoRR abs/1702.04917 (2017) - [i20]Gilles Puy, Srdan Kitic, Patrick Pérez:
Unifying local and non-local signal processing with graph CNNs. CoRR abs/1702.07759 (2017) - [i19]Gilles Puy, Patrick Pérez:
Structured sampling and fast reconstruction of smooth graph signals. CoRR abs/1705.02202 (2017) - 2016
- [j8]Nauman Shahid, Nathanaël Perraudin, Vassilis Kalofolias, Gilles Puy, Pierre Vandergheynst:
Fast Robust PCA on Graphs. IEEE J. Sel. Top. Signal Process. 10(4): 740-756 (2016) - [c10]Nicolas Tremblay, Gilles Puy, Pierre Borgnat, Rémi Gribonval, Pierre Vandergheynst:
Accelerated spectral clustering using graph filtering of random signals. ICASSP 2016: 4094-4098 - [c9]Nicolas Tremblay, Gilles Puy, Rémi Gribonval, Pierre Vandergheynst:
Compressive Spectral Clustering. ICML 2016: 1002-1011 - [i18]Nicolas Tremblay, Gilles Puy, Rémi Gribonval, Pierre Vandergheynst:
Compressive Spectral Clustering. CoRR abs/1602.02018 (2016) - [i17]Nauman Shahid, Nathanaël Perraudin, Gilles Puy, Pierre Vandergheynst:
Compressive PCA on Graphs. CoRR abs/1602.02070 (2016) - 2015
- [c8]Gilles Puy, Mike E. Davies, Rémi Gribonval:
Linear embeddings of low-dimensional subsets of a Hilbert space to Rm. EUSIPCO 2015: 469-473 - [i16]Gilles Puy, Mike E. Davies, Rémi Gribonval:
Recipes for stable linear embeddings from Hilbert spaces to $\mathbb{R}^m$. CoRR abs/1509.06947 (2015) - [i15]Nicolas Tremblay, Gilles Puy, Pierre Borgnat, Rémi Gribonval, Pierre Vandergheynst:
Accelerated Spectral Clustering Using Graph Filtering Of Random Signals. CoRR abs/1509.08863 (2015) - [i14]Gilles Puy, Nicolas Tremblay, Rémi Gribonval, Pierre Vandergheynst:
Random sampling of bandlimited signals on graphs. CoRR abs/1511.05118 (2015) - 2014
- [j7]Gilles Puy, Pierre Vandergheynst:
Robust Image Reconstruction from Multiview Measurements. SIAM J. Imaging Sci. 7(1): 128-156 (2014) - [j6]Mike E. Davies, Gilles Puy, Pierre Vandergheynst, Yves Wiaux:
A Compressed Sensing Framework for Magnetic Resonance Fingerprinting. SIAM J. Imaging Sci. 7(4): 2623-2656 (2014) - [j5]Cagdas Bilen, Gilles Puy, Rémi Gribonval, Laurent Daudet:
Convex Optimization Approaches for Blind Sensor Calibration Using Sparsity. IEEE Trans. Signal Process. 62(18): 4847-4856 (2014) - [c7]Mike E. Davies, Gilles Puy, Pierre Vandergheynst, Yves Wiaux:
Compressed quantitative MRI: Bloch response recovery through iterated projection. ICASSP 2014: 6899-6903 - [c6]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: 1-6 - [i13]Nathanaël Perraudin, David I. Shuman, Gilles Puy, Pierre Vandergheynst:
UNLocBoX A matlab convex optimization toolbox using proximal splitting methods. CoRR abs/1402.0779 (2014) - [i12]Cagdas Bilen, Gilles Puy, Rémi Gribonval, Laurent Daudet:
Balancing Sparsity and Rank Constraints in Quadratic Basis Pursuit. CoRR abs/1403.4267 (2014) - 2013
- [j4]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): 2275-2285 (2013) - [c5]Cagdas Bilen, Gilles Puy, Rémi Gribonval, Laurent Daudet:
Blind phase calibration in sparse recovery. EUSIPCO 2013: 1-5 - [i11]Cagdas Bilen, Gilles Puy, Rémi Gribonval, Laurent Daudet:
Convex Optimization Approaches for Blind Sensor Calibration using Sparsity. CoRR abs/1308.5354 (2013) - [i10]Mike E. Davies, Gilles Puy, Pierre Vandergheynst, Yves Wiaux:
Compressed Quantitative MRI: Bloch Response Recovery through Iterated Projection. CoRR abs/1312.2457 (2013) - [i9]Mike E. Davies, Gilles Puy, Pierre Vandergheynst, Yves Wiaux:
A Compressed Sensing Framework for Magnetic Resonance Fingerprinting. CoRR abs/1312.2465 (2013) - 2012
- [j3]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: 6 (2012) - [j2]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): 586-598 (2012) - [c4]Anastasios Kyrillidis, Gilles Puy, Volkan Cevher:
Hard thresholding with norm constraints. ICASSP 2012: 3645-3648 - [i8]Gilles Puy, José P. Marques, Rolf Gruetter, Jean-Philippe Thiran, Dimitri Van De Ville, Pierre Vandergheynst, Yves Wiaux:
Spread spectrum magnetic resonance imaging. CoRR abs/1203.2205 (2012) - [i7]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 abs/1205.1013 (2012) - [i6]Gilles Puy, Pierre Vandergheynst:
Robust image reconstruction from multi-view measurements. CoRR abs/1212.3268 (2012) - 2011
- [j1]Gilles Puy, Pierre Vandergheynst, Yves Wiaux:
On Variable Density Compressive Sampling. IEEE Signal Process. Lett. 18(10): 595-598 (2011) - [c3]Emmanuel d'Angelo, Johan Paratte, Gilles Puy, Pierre Vandergheynst:
Fast TV-L1 optical flow for interactivity. ICIP 2011: 1885-1888 - [i5]Gilles Puy, Pierre Vandergheynst, Yves Wiaux:
On Variable Density Compressive Sampling. CoRR abs/1109.6202 (2011) - [i4]Gilles Puy, Pierre Vandergheynst, Rémi Gribonval, Yves Wiaux:
Universal and efficient compressed sensing by spread spectrum and application to realistic Fourier imaging techniques. CoRR abs/1110.5870 (2011) - [i3]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 abs/1110.6296 (2011) - [i2]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 abs/1110.6297 (2011) - 2010
- [c2]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: 2802-2805 - [c1]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: 756-759
2000 – 2009
- 2009
- [i1]Yves Wiaux, Gilles Puy, Yannick Boursier, Pierre Vandergheynst:
Spread spectrum for imaging techniques in radio interferometry. CoRR abs/0907.0944 (2009)
Coauthor Index
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