Gilles Puy

Orcid: 0000-0003-3502-980X

According to our database1, Gilles Puy authored at least 63 papers between 2009 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2023
Revisiting the Distillation of Image Representations into Point Clouds for Autonomous Driving.
CoRR, 2023

BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds.
CoRR, 2023

Unsupervised Object Localization in the Era of Self-Supervised ViTs: A Survey.
CoRR, 2023

Butterfly factorization by algorithmic identification of rank-one blocks.
CoRR, 2023

SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation.
CoRR, 2023

Self-supervised learning with rotation-invariant kernels.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

You Never Get a Second Chance To Make a Good First Impression: Seeding Active Learning for 3D Semantic Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Unsupervised Object Localization: Observing the Background to Discover Objects.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

ALSO: Automotive Lidar Self-Supervision by Occupancy Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Take One Gram of Neural Features, Get Enhanced Group Robustness.
CoRR, 2022

Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Cloud.
CoRR, 2021

PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

FacialFilmroll: High-resolution multi-shot video editing.
Proceedings of the CVMP '21: European Conference on Visual Media Production, London, United Kingdom, December 6, 2021

Localizing Objects with Self-supervised Transformers and no Labels.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds.
Proceedings of the International Conference on 3D Vision, 2021

NeeDrop: Self-supervised Shape Representation from Sparse Point Clouds using Needle Dropping.
Proceedings of the International Conference on 3D Vision, 2021

2020
Online Bag-of-Visual-Words Generation for Unsupervised Representation Learning.
CoRR, 2020

LightConvPoint: convolution for points.
CoRR, 2020

High Resolution Face Age Editing.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

FLOT: Scene Flow on Point Clouds Guided by Optimal Transport.
Proceedings of the Computer Vision - ECCV 2020, 2020

FKAConv: Feature-Kernel Alignment for Point Cloud Convolution.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019
Photo Style Transfer With Consistency Losses.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

A Flexible Convolutional Solver for Fast Style Transfers.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
A Flexible Convolutional Solver with Application to Photorealistic Style Transfer.
CoRR, 2018

2017
Compressive PCA for Low-Rank Matrices on Graphs.
IEEE Trans. Signal Inf. Process. over Networks, 2017

Recipes for Stable Linear Embeddings From Hilbert Spaces to ℝ<sup>m</sup>.
IEEE Trans. Inf. Theory, 2017

Compressed sensing in Hilbert spaces.
CoRR, 2017

Structured sampling and fast reconstruction of smooth graph signals.
CoRR, 2017

Unifying local and non-local signal processing with graph CNNs.
CoRR, 2017

Informed source separation via compressive graph signal sampling.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Scattering features for multimodal gait recognition.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

2016
Fast Robust PCA on Graphs.
IEEE J. Sel. Top. Signal Process., 2016

Compressive PCA on Graphs.
CoRR, 2016

Compressive Spectral Clustering.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Accelerated spectral clustering using graph filtering of random signals.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Random sampling of bandlimited signals on graphs.
CoRR, 2015

Recipes for stable linear embeddings from Hilbert spaces to $\mathbb{R}^m$.
CoRR, 2015

Linear embeddings of low-dimensional subsets of a Hilbert space to R<sup>m</sup>.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
Convex Optimization Approaches for Blind Sensor Calibration Using Sparsity.
IEEE Trans. Signal Process., 2014

Robust Image Reconstruction from Multiview Measurements.
SIAM J. Imaging Sci., 2014

A Compressed Sensing Framework for Magnetic Resonance Fingerprinting.
SIAM J. Imaging Sci., 2014

UNLocBoX A matlab convex optimization toolbox using proximal splitting methods.
CoRR, 2014

Balancing Sparsity and Rank Constraints in Quadratic Basis Pursuit.
CoRR, 2014

Brain source localization using a physics-driven structured cosparse representation of EEG signals.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Compressed quantitative MRI: Bloch response recovery through iterated projection.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Sparse Image Reconstruction on the Sphere: Implications of a New Sampling Theorem.
IEEE Trans. Image Process., 2013

Blind phase calibration in sparse recovery.
Proceedings of the 21st European Signal Processing Conference, 2013

2012
Spread Spectrum Magnetic Resonance Imaging.
IEEE Trans. Medical Imaging, 2012

Universal and efficient compressed sensing by spread spectrum and application to realistic Fourier imaging techniques.
EURASIP J. Adv. Signal Process., 2012

Robust image reconstruction from multi-view measurements
CoRR, 2012

Sparse signal reconstruction on the sphere: implications of a new sampling theorem
CoRR, 2012

Hard thresholding with norm constraints.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
On Variable Density Compressive Sampling.
IEEE Signal Process. Lett., 2011

Sampling theorems and compressive sensing on the sphere
CoRR, 2011

Implications for compressed sensing of a new sampling theorem on the sphere
CoRR, 2011

Fast TV-L1 optical flow for interactivity.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

2010
Spread spectrum for compressed sensing techniques in magnetic resonance imaging.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Spread spectrum for interferometric and magnetic resonance imaging.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
Spread spectrum for imaging techniques in radio interferometry
CoRR, 2009


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