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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.
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About
About me
ENPC C++ Virtual Machine
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Posts
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, 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
SHREC’17: Deformable Shape Retrieval with Missing Parts
Published in 10th Eurographics workshop on 3D Object retrieval, 3DOR, 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, 2017
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Autoencodeurs pour la visualisation d’images hyperspectrales
Published in XXV colloque Gretsi, 2017
Datascience week at ENPC
Published in Datascience Week, 2017
You can watch the slides here.
SnapNet: Unstructured point cloud semantic labeling using deep segmentation networks
Published in Eurographics Workshop 3D Object Retrieval, 2017
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Deep Learning for Urban Remote Sensing
Published in Joint Urban Remote Sensing Event, JURSE, 2017
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SnapNet-R: Consistent 3D Multi-View Semantic Labeling for Robotics
Published in Workshop 3D Reconstruction Meets Semantics (3DRMS), ICCV, 2017
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Off the shelf deep learning pipeline for remote sensing applications
Published in Big Data from Space (BIDS), ESA Workshop, 2017
Forecasting ionospheric Total Electron Content maps with deep neural networks
Published in Big Data from Space (BIDS), ESA Workshop, 2017
Deep sequence-to-sequence neural networks for ionospheric activity map prediction
Published in ICONIP, 2017
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ShaResNet: reducing residual network parameter number by sharing weights
Published in Pattern Recognition Letters, 2018
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SnapNet: Unstructured point cloud semantic labeling using deep segmentation networks
Published in Computer and Graphics, 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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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
Fully Convolutional Siamese Networks for Change Detection
Published in IEEE International Conference on Image Processing, 2018
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Ionospheric activity prediction using convolutional recurrent neural networks
Published in Arxiv, 2018
Learning to Understand Earth Observation Images with Weak and Unreliable Ground Truth
Published in International Geoscience and Remote Sensing Symposium, IGARSS, 2019
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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
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Generalizing discrete convolutions for unstructured point clouds
Published in Eurographics Workshop 3D Object Retrieval, 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/EarthVision 19), 2019
High Resolution Semantic Change Detection
Published in Computer Vision and Image Understanding, 2019
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Distance transform regression for spatially-aware deep semantic segmentation
Published in Computer Vision and Image Understanding, 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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Surface Reconstruction from 3D Line Segments
Published in International Conference on 3D vision (3DV 2019), 2019
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ConvPoint: Continuous Convolutions for Point Cloud Processing
Published in Computers & Graphics, 2020
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LightConvPoint: convolution for points
Published in Arxiv, 2020
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.