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EIDA - imagine. enpc. fr Mathieu Aubry and Syrine Kalleli were supported by ERC project DISCOVER funded by the European Union's Horizon Europe Research and Innovation program under grant agreement No 101076028
RANSAC-Flow - École des ponts ParisTech ECCV 2020 Xi Shen 1 François Darmon 1, 2 Alexei A Efros 3 Mathieu Aubry 1 1 LIGM (UMR 8049) - Ecole des Ponts, UPE 2 Thales 3 UC Berkeley Code Paper Slides
François Darmon - École des ponts ParisTech I obtained my PhD from IMAGINE - ENPC under the surpervision of Mathieu Aubry and Pascal Monasse I worked in collaboration with Thales LAS France I have received an engineering degree in Applied Mathematics from Télécom Paris and a MS degree in Mathematics, Vision and Learning from ENS Paris-Saclay
Improving neural implicit surfaces geometry with patch warping Visual results Bibtex @inproceedings{ author = {Darmon, Fran{\c{c}}ois and Bascle, B{\'{e}}n{\'{e}}dicte and Devaux, Jean{-}Cl{\'{e}}ment and Monasse, Pascal and Aubry, Mathieu}, title = {Improving neural implicit surfaces geometry with patch warping}, year = {2022}, booktitle = CVPR, }
Fast Local Laplacian Filters: Theory and Applications Fast Local Laplacian Filters: Theory and Applications Mathieu Aubry, Sylvain Paris, Samuel W Hasinoff, Jan Kautz, Frédo Durand Abstract Multi-scale manipulations are central to image editing but they are also prone to halos Achieving artifact-free results requires sophisticated edge- aware techniques and careful parameter tuning
ArtMiner - École des ponts ParisTech Discovering Visual Patterns in Art Collections with Spatially-consistent Feature Learning CVPR 2019 Xi Shen 1 Alexei A Efros 2 Mathieu Aubry 1 1 LIGM (UMR 8049) - Ecole des Ponts, UPE 2 UC Berkeley GitHub Arxiv
3D-CODED : 3D Correspondences by Deep Deformation Mathieu Aubry Given two input shapes without correspondences (left) , the goal is to establish correspondences between them To do so, we learn a smooth deformation transforming a template shape into the input shape The two reconstructions (right) are naturally in correspondences, as they span from two different deformations of the same
Wave Kernel Signature | INRIA-TUM Wave Kernel Signature Mathieu Aubry, Ulrich Schlickewei, Daniel Cremers The Wave Kernel Signature characterize each point of a 3D shape Each value of the WKS can be intepreted in the framework of quantum mechanic as the average probability to find a particle of a given energy at a given point