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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About
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Posts
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publications
Fast Normal Estimation for Point Clouds with Sharp Features using a Robust Randomized Hough Transform
Published in Computer Graphics Forum, Wiley, 2012
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Irreducible Triangulations of Surfaces with Boundary
Published in Graphs and Combinatorics, Springer Verlag, 2012
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Semantizing Complex 3D Scenes using Constrained Attribute Grammars
Published in Computer Graphics Forum, Wiley, 2013
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Piecewise‐planar 3D reconstruction with edge and corner regularization
Published in Computer Graphics Forum, Wiley, 2014
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Statistical Criteria for Shape Fusion and Selection
Published in International Conference on Pattern Recognition, ICPR, 2014
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Un générateur de boites englobantes parcimonieux pour la détection d’objets dans des vidéos
Published in XXV colloque Gretsi, 2015
Deep Learning for Robust Normal Estimation in Unstructured Point Clouds
Published in Computer Graphics Forum, Wiley, 2016
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Benchmarking classification of earth-observation data: from learning explicit features to convolutional networks
Published in IEEE JSTARS, 2016
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Deep Learning for Remote Sensing
Published in Onera-DLR Aerospace Symposium (ODAS), 2016
Forecasting ionospheric Total Electron Content maps with deep neural networks
Published in Big Data from Space (BIDS), ESA Workshop, 2017
Off the shelf deep learning pipeline for remote sensing applications
Published in Big Data from Space (BIDS), ESA Workshop, 2017
Autoencodeurs pour la visualisation d’images hyperspectrales
Published in XXVI colloque Gretsi, 2017
SnapNet-R: Consistent 3D Multi-View Semantic Labeling for Robotics
Published in Workshop 3D Reconstruction Meets Semantics (3DRMS), ICCV, 2017
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Deep sequence-to-sequence neural networks for ionospheric activity map prediction
Published in ICONIP, 2017
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Deep Learning for Urban Remote Sensing
Published in Joint Urban Remote Sensing Event, JURSE, 2017
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SHREC’17: Deformable Shape Retrieval with Missing Parts
Published in 10th Eurographics workshop on 3D Object retrieval, 3DOR conference, 2017
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SHREC’17 Track: Point-Cloud Shape Retrieval of Non-Rigid Toys
Published in 10th Eurographics workshop on 3D Object retrieval, 3DOR conference, 2017
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Ionospheric activity prediction using convolutional recurrent neural networks
Published in , 2018
SnapNet: Unstructured point cloud semantic labeling using deep segmentation networks
Published in Computer and Graphics, 2018
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Fully Convolutional Siamese Networks for Change Detection
Published in IEEE International Conference on Image Processing, 2018
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Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks
Published in International Geoscience and Remote Sensing Symposium, IGARSS, 2018
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Learning speckle suppression in SAR images without ground truth: application to Sentinel-1 time-series
Published in International Geoscience and Remote Sensing Symposium, IGARSS, 2018
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ShaResNet: reducing residual network parameter number by sharing weights
Published in Pattern Recognition LettersP, 2018
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Détection dense de changements par réseaux de neurones siamois
Published in Conference Reconnaissance des Formes, Images, Apprentissage et Perception, RFIAP, 2018
Segmentation semantique profonde par regression sur cartes de distances signees
Published in Conference Reconnaissance des Formes, Images, Apprentissage et Perception, RFIAP, 2018
Surface Reconstruction from 3D Line Segments
Published in International Conference on 3D vision (3DV 2019), 2019
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Fast Stereo Disparity Maps Refinement By Fusion of Data-Based And Model-Based Estimations
Published in International Conference on 3D vision (3DV 2019), 2019
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High Resolution Semantic Change Detection
Published in Computer Vision and Image Understanding (CVIU), 2019
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Distance transform regression for spatially-aware deep semantic segmentation
Published in Computer Vision and Image Understanding (CVIU), 2019
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Guided Anisotropic Diffusion and Iterative Learning for Weakly Supervised Change Detection
Published in IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR) workshop EarthVision 19, 2019
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Learning to Understand Earth Observation Images with Weak and Unreliable Ground Truth
Published in International Geoscience and Remote Sensing Symposium, IGARSS, 2019
Abstract
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What data do we need for semantic segmentation in Earth-observation?
Published in IEEE Joint Urban Remote Sensing Event (JURSE’2019), 2019
Abstract
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ConvPoint: Continuous Convolutions for Point Cloud Processing
Published in Computers & Graphics, 2020
Abstract
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FLOT: Scene Flow on Point Clouds Guided by Optimal Transport
Published in European Conference on Computer Vision (ECCV), 2020
Abstract
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On Auxiliary Losses for Semi-Supervised Semantic Segmentation
Published in ECML-PKDD Workshop – MACLEAN – Machine Learning for Earth Observation, 2020
Abstract
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STaRFlow: A SpatioTemporal Recurrent Cell for Lightweight Multi-Frame Optical Flow Estimation
Published in 25th international conference on pattern recognition (ICPR 2020), 2020
Abstract
FKAConv: Feature-Kernel Alignment for Point Cloud Convolution
Published in 15th Asian Conference on Computer Vision (ACCV 2020), 2020
Abstract
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Semi-Supervised Semantic Segmentation in Earth Observation: The MiniFrance Suite, Dataset Analysis and Multi-task Network Study
Published in Machine Learning Journal, 2021
Abstract
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3D Reconstruction by Parameterized Surface Mapping
Published in International Conference on Image Processing (ICIP), 2021
Abstract
Weakly Supervised Change Detection Using Guided Anisotropic Diffusion
Published in Machine Learning Journal, 2021
Abstract
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PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds
Published in International Conference on Computer Vision (ICCV), 2021
Abstract
Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds
Published in International Conference on 3D vision (3DV), 2021
Abstract
NeeDrop: Unsupervised Shape Representation from Sparse Point Clouds using Needle Dropping
Published in International Conference on 3D vision (3DV), 2021
Abstract
teaching
ENPC Algorithmics
Undergraduate course, Ecole des Ponts ParisTech, 1A, 2017
First year algorithmics in C++ (data stuctures, sorting, FTT, Fast Marching…)
ENPC C++ Programming
Undergraduate course, Ecole des Ponts ParisTech, 1A, 2017
First year main course of C++ programming
IOGS: Shape recognition
Graduate course, Institut d'Optique Graduate School, 3A, 2017
3rd year machine learning course.