Publications

Journals - Conferences - Misc - Communications

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Journals (top)

SnapNet: Unstructured point cloud semantic labeling using deep segmentation networks

in Computer and Graphics, 2018
A. Boulch, J. Guerry, B. Le Saux and N. Audebert
Presented at Eurographics 3DOR 2017

[PDF] [Code] [Bibtex]

ShaResNet: reducing residual network parameter number by sharing weights

in Pattern Recognition Letters, 2018
A.Boulch

[PDF] [Arxiv] [Code] [Bibtex]

Benchmarking classification of earth-observation data: from learning explicit features to convolutional networks

in IEEE JSTARS, 2016
A. Lagrange, B. Le Saux, A. Beaupere, A. Boulch, A. Chan-Hon-Tong, S. Herbin, H. Randrianarivo and M. Ferecatu
presented at IGARSS 2015 and in awarded paper of the 2015 IEEE GRSS Data Fusion Contest

[PDF] [Bibtex]

Deep Learning for Robust Normal Estimation in Unstructured Point Clouds

in Computer Graphics Forum, Wiley, 2016
A. Boulch and R. Marlet
presented at Symposium on Geometry Processing (SGP) 2016

[PDF] [Slides] [Code] [Bibtex]

Piecewise-Planar 3D Reconstruction with Edge and Corner Regularization

in Computer Graphics Forum, 2014
A. Boulch, M. De La Gorce and R. Marlet
presented at Symposium on Geometry Processing (SGP) 2014

[PDF] [Bibtex]

Semantizing Complex 3D Scenes using Constrained Attribute Grammars

in Computer Graphics Forum, Wiley, 2013
A. Boulch, S. Houllier, R. Marlet and O. Tournaire
presented at Symposium on Geometry processing (SGP) 2013

[PDF] [Bibtex]

Irreducible Triangulations of Surfaces with Boundary

in Graphs and Combinatorics, Springer Verlag, 2012
A. Boulch, É. Colin de Verdière and A. Nakamoto

[PDF] [Bibtex]

Fast Normal Estimation for Point Clouds with Sharp Features using a Robust Randomized Hough Transform

in Computer Graphics Forum, Wiley, 2012
A. Boulch and R. Marlet
Presented at Symposium on Geometry processing (SGP) 2012

[PDF] [Slides] [Code] [Bibtex]

Conferences (top)

Guided Anisotropic Diffusion and Iterative Learning for Weakly Supervised Change Detection

in IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR/EarthVision 19), 2019
R. D. Daudt, B. Le Saux, A. Boulch, Y. Gousseau
Best Student Paper Award: 1st place

[PDF] [Arxiv] [Bibtex]

Generalizing discrete convolutions for unstructured point clouds

in Eurographics Workshop 3D Object Retrieval, 2019
A. Boulch

[Slides] [Arxiv] [Code] [Bibtex]

What data do we need for semantic segmentation in Earth-observation?

in IEEE Joint Urban Remote Sensing Event (JURSE’2019), 2019
J. Castillo Navarro, N. Audebert, A. Boulch, B. Le Saux, S. Lefèvre

Learning to Understand Earth Observation Images with Weak and Unreliable Ground Truth

in International Geoscience and Remote Sensing Symposium, IGARSS, 2019
R. C. Daudt, A. Chan-Hon-Tong, B. Le Saux, A. Boulch

[Bibtex]

Fully Convolutional Siamese Networks for Change Detection

in IEEE International Conference on Image Processing, 2018
R. Caye Daudt, B. Le Saux, A. Boulch

[HAL] [Bibtex]

Segmentation semantique profonde par regression sur cartes de distances signees

in Conference Reconnaissance des Formes, Images, Apprentissage et Perception, RFIAP, 2018
N. Audebert, A. Boulch, B. Le Saux, S. Lefevre

[HAL] [Bibtex]

Détection dense de changements par réseaux de neurones siamois

in Conference Reconnaissance des Formes, Images, Apprentissage et Perception, RFIAP, 2018
R. Caye Daudt, B. Le Saux, A. Boulch, Y. Gousseau

[HAL] [Bibtex]

Learning speckle suppression in SAR images without ground truth: application to Sentinel-1 time-series

in International Geoscience and Remote Sensing Symposium, IGARSS, 2018
A. Boulch, P. Trouve, E. Koeniguer, F. Janez, B. Le Saux

[PDF] [Arxiv]

Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks

in International Geoscience and Remote Sensing Symposium, IGARSS, 2018
R. C. Daudt, B. Le Saux, A. Boulch, Y. Gousseau

[PDF] [Bibtex]

Deep sequence-to-sequence neural networks for ionospheric activity map prediction

in ICONIP, 2017
N. Cherrier, T. Castaings and A. Boulch

[PDF] [Bibtex]

Forecasting ionospheric Total Electron Content maps with deep neural networks

in Big Data from Space (BIDS), ESA Workshop, 2017
N. Cherrier, T. Castaings and A. Boulch

[PDF] [Slides]

Off the shelf deep learning pipeline for remote sensing applications

in Big Data from Space (BIDS), ESA Workshop, 2017
R. Tripathi, A. Chan-Hon-Tong and A. Boulch

[PDF]

SnapNet-R: Consistent 3D Multi-View Semantic Labeling for Robotics

in Workshop 3D Reconstruction Meets Semantics (3DRMS), ICCV, 2017
J. Guerry, A. Boulch, B. Le Saux, J. Moras, A. Plyer and D. Filliat

[PDF] [Bibtex]

Deep Learning for Urban Remote Sensing

in Joint Urban Remote Sensing Event, JURSE, 2017
N. Audebert, A. Boulch, H. Randrianarivo, B. Le Saux, M. Ferecatu, S. Lefèvre and R. Marlet

[PDF] [Bibtex]

SnapNet: Unstructured point cloud semantic labeling using deep segmentation networks

in Eurographics Workshop 3D Object Retrieval, 2017
A. Boulch, B. Le Saux and N. Audebert

[PDF] [Code] [Bibtex]

Autoencodeurs pour la visualisation d’images hyperspectrales

in XXV colloque Gretsi, 2017
A. Boulch, N. Audebert and D. Dubucq

[PDF] [Poster] [Bibtex]

SHREC’17 Track: Point-Cloud Shape Retrieval of Non-Rigid Toys

in 10th Eurographics workshop on 3D Object retrieval, 3DOR, 2017
F. A. Limberger, W. C. Richard, M. Aono, N. Audebert, A. Boulch, B. Bustos, A. Giachetti, A. Godil, B. Le Saux and B. Li and others.

[PDF] [Bibtex]

SHREC’17: Deformable Shape Retrieval with Missing Parts

in 10th Eurographics workshop on 3D Object retrieval, 3DOR, 2017
E. Rodola, L. Cosmo, O. Litany, MM. Bronstein, AM. Bronstein, N. Audebert, A. Ben Hamza, A. Boulch, U. Castellani, MN. Do and others

[PDF] [Bibtex]

Un générateur de boites englobantes parcimonieux pour la détection d’objets dans des vidéos

in XXV colloque Gretsi, 2015
A. Chan-Hon-Tong, S. Herbin and A. Boulch

[PDF] [Bibtex]

Statistical Criteria for Shape Fusion and Selection

in International Conference on Pattern Recognition, ICPR, 2014
A. Boulch, R. Marlet

[PDF] [Code] [Bibtex]

Misc (top)

High Resolution Semantic Change Detection

in Arxiv, 2019
R. D. Daudt, B. Le Saux, A. Boulch, Y. Gousseau
under review at CVIU

[Arxiv] [Bibtex]

Ionospheric activity prediction using convolutional recurrent neural networks

in Arxiv, 2018
A. Boulch, N. Cherrier, T. Castaings

[Arxiv] [Code] [Bibtex]

Communications (top)

Datascience week at ENPC

in Datascience Week, 2017

Deep Learning for Remote Sensing

in Onera-DLR Aerospace Symposium (ODAS), 2016
N. Audebert, A. Boulch, A. Lagrange, B. Le Saux and S. Lefèvre

[PDF] [Bibtex]