Gilles Puy | DeepAI

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∙ 07/03/2023

Butterfly factorization by algorithmic identification of rank-one blocks

Many matrices associated with fast transforms posess a certain low-rank ...

0 Léon Zheng, et al. ∙

∙ 04/23/2023

You Never Get a Second Chance To Make a Good First Impression: Seeding Active Learning for 3D Semantic Segmentation

We propose SeedAL, a method to seed active learning for efficient annota...

0 Nermin Samet, et al. ∙

∙ 04/06/2023

SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation

Learning models on one labeled dataset that generalize well on another d...

0 Bjoern Michele, et al. ∙

∙ 01/24/2023

RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving

Casting semantic segmentation of outdoor LiDAR point clouds as a 2D prob...

0 Angelika Ando, et al. ∙

∙ 01/24/2023

Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation

Semantic segmentation of point clouds in autonomous driving datasets req...

0 Gilles Puy, et al. ∙

∙ 12/15/2022

Unsupervised Object Localization: Observing the Background to Discover Objects

Recent advances in self-supervised visual representation learning have p...

0 Oriane Siméoni, et al. ∙

∙ 12/12/2022

ALSO: Automotive Lidar Self-supervision by Occupancy estimation

We propose a new self-supervised method for pre-training the backbone of...

0 Alexandre Boulch, et al. ∙

∙ 08/26/2022

Take One Gram of Neural Features, Get Enhanced Group Robustness

Predictive performance of machine learning models trained with empirical...

3 Simon Roburin, et al. ∙

∙ 07/28/2022

Self-supervised learning with rotation-invariant kernels

A major paradigm for learning image representations in a self-supervised...

6 Léon Zheng, et al. ∙

∙ 03/30/2022

Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data

Segmenting or detecting objects in sparse Lidar point clouds are two imp...

2 Corentin Sautier, et al. ∙

∙ 11/30/2021

NeeDrop: Self-supervised Shape Representation from Sparse Point Clouds using Needle Dropping

There has been recently a growing interest for implicit shape representa...

7 Alexandre Boulch, et al. ∙

∙ 10/05/2021

FacialFilmroll: High-resolution multi-shot video editing

We present FacialFilmroll, a solution for spatially and temporally consi...

1 Bharath Bhushan Damodaran, et al. ∙

∙ 10/04/2021

PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds

Rigid registration of point clouds with partial overlaps is a longstandi...

3 Anh-Quan Cao, et al. ∙

∙ 09/29/2021

Localizing Objects with Self-Supervised Transformers and no Labels

Localizing objects in image collections without supervision can help to ...

5 Oriane Siméoni, et al. ∙

∙ 08/13/2021

Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Cloud

While there has been a number of studies on Zero-Shot Learning (ZSL) for...

4 Björn Michele, et al. ∙

∙ 12/21/2020

Online Bag-of-Visual-Words Generation for Unsupervised Representation Learning

Learning image representations without human supervision is an important...

3 Spyros Gidaris, et al. ∙

∙ 07/22/2020

FLOT: Scene Flow on Point Clouds Guided by Optimal Transport

We propose and study a method called FLOT that estimates scene flow on p...

0 Gilles Puy, et al. ∙

∙ 05/09/2020

High Resolution Face Age Editing

Face age editing has become a crucial task in film post-production, and ...

0 Xu Yao, et al. ∙

∙ 05/09/2020

Photo style transfer with consistency losses

We address the problem of style transfer between two photos and propose ...

0 Xu Yao, et al. ∙

∙ 04/09/2020

LightConvPoint: convolution for points

Recent state-of-the-art methods for point cloud semantic segmentation ar...

8 Alexandre Boulch, et al. ∙

∙ 01/23/2020

Scattering Features for Multimodal Gait Recognition

We consider the problem of identifying people on the basis of their walk...

0 Srdan Kitic, et al. ∙

∙ 06/13/2018

A Flexible Convolutional Solver with Application to Photorealistic Style Transfer

We propose a new flexible deep convolutional neural network (convnet) to...

2 Gilles Puy, et al. ∙

∙ 02/24/2017

Unifying local and non-local signal processing with graph CNNs

This paper deals with the unification of local and non-local signal proc...

0 Gilles Puy, et al. ∙

∙ 02/05/2016

Compressive Spectral Clustering

Spectral clustering has become a popular technique due to its high perfo...

0 Nicolas Tremblay, et al. ∙

∙ 11/16/2015

Random sampling of bandlimited signals on graphs

We study the problem of sampling k-bandlimited signals on graphs. We pro...

0 Gilles Puy, et al. ∙

∙ 07/29/2015

Fast Robust PCA on Graphs

Mining useful clusters from high dimensional data has received significa...

0 Nauman Shahid, et al. ∙

∙ 12/13/2012

Robust image reconstruction from multi-view measurements

We propose a novel method to accurately reconstruct a set of images repr...

0 Gilles Puy, et al. ∙

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