Publications

FKAConv: Feature-Kernel Alignment for Point Cloud Convolution
A. Boulch, G. Puy and R. Marlet
Published in 15th Asian Conference on Computer Vision (ACCV 2020), 2020
Arxiv    Code   
Semi-Supervised Semantic Segmentation in Earth Observation: The MiniFrance Suite, Dataset Analysis and Multi-task Network Study
J. Castillo-Navarro, B. Le Saux, A. Boulch, N. Audebert, and S. Lefèvre
Published in Arxiv, 2020
Arxiv   
STaRFlow: A SpatioTemporal Recurrent Cell for Lightweight Multi-Frame Optical Flow Estimation
P.Godet, A. Boulch, A. Plyer and G. Le Besnerais
Published in 25th international conference on pattern recognition (ICPR 2020), 2020
Arxiv    Code   
On Auxiliary Losses for Semi-Supervised Semantic Segmentation
J. Castillo-Navarro, B. Le Saux, A. Boulch, and S. Lefèvre
Published in ECML-PKDD Workshop – MACLEAN – Machine Learning for Earth Observation, 2020
Video   
FLOT: Scene Flow on Point Clouds Guided by Optimal Transport
G. Puy, A. Boulch and R. Marlet
Published in European Conference on Computer Vision (ECCV), 2020
Arxiv   
ConvPoint: Continuous Convolutions for Point Cloud Processing
A. Boulch
Published in Computers & Graphics, 2020
Paper    Arxiv    Code   
What data do we need for semantic segmentation in Earth-observation?
J. Castillo-Navarro, N. Audebert, A. Boulch, B. Le Saux, S. Lefèvre
Published in IEEE Joint Urban Remote Sensing Event (JURSE’2019), 2019
Paper    PDF   
Learning to Understand Earth Observation Images with Weak and Unreliable Ground Truth
R. C. Daudt, A. Chan-Hon-Tong, B. Le Saux, A. Boulch
Published in International Geoscience and Remote Sensing Symposium, IGARSS, 2019
Paper   
Guided Anisotropic Diffusion and Iterative Learning for Weakly Supervised Change Detection
R. C. Daudt, B. Le Saux, A. Boulch, Y. Gousseau
Published in IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR) workshop EarthVision 19, 2019
Best Student Paper Award: 1st place
Paper    Arxiv   
Distance transform regression for spatially-aware deep semantic segmentation
N. Audebert, A. Boulch, B. Le Saux and S. Lefèvre
Published in Computer Vision and Image Understanding (CVIU), 2019
Paper    Arxiv   
High Resolution Semantic Change Detection
R. C. Daudt, B. Le Saux, A. Boulch, Y. Gousseau
Published in Computer Vision and Image Understanding (CVIU), 2019
Paper    Arxiv   
Fast Stereo Disparity Maps Refinement By Fusion of Data-Based And Model-Based Estimations
M. Ferrera, A. Boulch, J. Moras
Published in International Conference on 3D vision (3DV 2019), 2019
Paper    HAL   
Surface Reconstruction from 3D Line Segments
P.-A. Langlois, A. Boulch, R. Marlet
Published in International Conference on 3D vision (3DV 2019), 2019
Paper    Arxiv    HAL   
Generalizing discrete convolutions for unstructured point clouds
A. Boulch
Published in Eurographics Workshop 3D Object Retrieval (3DOR), 2019
Paper    Arxiv    Code    Slides   
Segmentation semantique profonde par regression sur cartes de distances signees
N. Audebert, A. Boulch, B. Le Saux, S. Lefevre
Published in Conference Reconnaissance des Formes, Images, Apprentissage et Perception, RFIAP, 2018
HAL   
Détection dense de changements par réseaux de neurones siamois
R. Caye Daudt, B. Le Saux, A. Boulch, Y. Gousseau
Published in Conference Reconnaissance des Formes, Images, Apprentissage et Perception, RFIAP, 2018
HAL   
ShaResNet: reducing residual network parameter number by sharing weights
A.Boulch
Published in Pattern Recognition LettersP, 2018
Paper    Arxiv   
Learning speckle suppression in SAR images without ground truth: application to Sentinel-1 time-series
A. Boulch, P. Trouve, E. Koeniguer, F. Janez, B. Le Saux
Published in International Geoscience and Remote Sensing Symposium, IGARSS, 2018
Paper    PDF   
Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks
R. C. Daudt, B. Le Saux, A. Boulch, Y. Gousseau
Published in International Geoscience and Remote Sensing Symposium, IGARSS, 2018
Paper    Arxiv   
Fully Convolutional Siamese Networks for Change Detection
R. Caye Daudt, B. Le Saux, A. Boulch
Published in IEEE International Conference on Image Processing, 2018
Paper    Arxiv    HAL   
SnapNet: Unstructured point cloud semantic labeling using deep segmentation networks
A. Boulch, J. Guerry, B. Le Saux and N. Audebert
Published in Computer and Graphics, 2018
Also in Eurographics Workshop 3D Object Retrieval 2017
Paper    Code    PDF   
Ionospheric activity prediction using convolutional recurrent neural networks
A. Boulch, N. Cherrier, T. Castaings
Arxiv    Code   
SHREC’17 Track: Point-Cloud Shape Retrieval of Non-Rigid Toys
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
Published in 10th Eurographics workshop on 3D Object retrieval, 3DOR conference, 2017
Paper    PDF   
SHREC’17: Deformable Shape Retrieval with Missing Parts
E. Rodola, L. Cosmo, O. Litany, MM. Bronstein, AM. Bronstein, N. Audebert, A. Ben Hamza, A. Boulch, U. Castellani, MN. Do and others
Published in 10th Eurographics workshop on 3D Object retrieval, 3DOR conference, 2017
Paper    PDF   
Deep Learning for Urban Remote Sensing
N. Audebert, A. Boulch, H. Randrianarivo, B. Le Saux, M. Ferecatu, S. Lefèvre and R. Marlet
Published in Joint Urban Remote Sensing Event, JURSE, 2017
Paper    HAL    PDF   
Deep sequence-to-sequence neural networks for ionospheric activity map prediction
N. Cherrier, T. Castaings and A. Boulch
Published in ICONIP, 2017
Best paper award finalist at ICONIP 2017
Paper    PDF   
SnapNet-R: Consistent 3D Multi-View Semantic Labeling for Robotics
J. Guerry, A. Boulch, B. Le Saux, J. Moras, A. Plyer and D. Filliat
Published in Workshop 3D Reconstruction Meets Semantics (3DRMS), ICCV, 2017
Paper    PDF   
Autoencodeurs pour la visualisation d’images hyperspectrales
A. Boulch, N. Audebert and D. Dubucq
Published in XXVI colloque Gretsi, 2017
PDF   
Off the shelf deep learning pipeline for remote sensing applications
R. Tripathi, A. Chan-Hon-Tong and A. Boulch
Published in Big Data from Space (BIDS), ESA Workshop, 2017
PDF   
Forecasting ionospheric Total Electron Content maps with deep neural networks
N. Cherrier, T. Castaings and A. Boulch
Published in Big Data from Space (BIDS), ESA Workshop, 2017
Slides    PDF   
Deep Learning for Remote Sensing
N. Audebert, A. Boulch, A. Lagrange, B. Le Saux and S. Lefèvre
Published in Onera-DLR Aerospace Symposium (ODAS), 2016
PDF   
Benchmarking classification of earth-observation data: from learning explicit features to convolutional networks
A. Lagrange, B. Le Saux, A. Beaupere, A. Boulch, A. Chan-Hon-Tong, S. Herbin, H. Randrianarivo and M. Ferecatu
Published in IEEE JSTARS, 2016
Also in IGARSS 2015
Awarded paper of the 2015 IEEE GRSS Data Fusion Contest
Paper    PDF   
Deep Learning for Robust Normal Estimation in Unstructured Point Clouds
A. Boulch and R. Marlet
Published in Computer Graphics Forum, Wiley, 2016
Also in Symposium on Geometry Processing 201 (SGP 2016)
Paper    Code    Slides    PDF   
Un générateur de boites englobantes parcimonieux pour la détection d’objets dans des vidéos
A. Chan-Hon-Tong, S. Herbin and A. Boulch
Published in XXV colloque Gretsi, 2015
HAL   
Statistical Criteria for Shape Fusion and Selection
A. Boulch and R. Marlet
Published in International Conference on Pattern Recognition, ICPR, 2014
Paper    Code    PDF   
Semantizing Complex 3D Scenes using Constrained Attribute Grammars
A. Boulch, S. Houllier, R. Marlet and O. Tournaire
Published in Computer Graphics Forum, Wiley, 2013
Also in Symposium on Geometry Processing 2013 (SGP 2013)
Paper    PDF   
Irreducible Triangulations of Surfaces with Boundary
A. Boulch, É. Colin de Verdière and A. Nakamoto
Published in Graphs and Combinatorics, Springer Verlag, 2012
Paper    HAL   
Fast Normal Estimation for Point Clouds with Sharp Features using a Robust Randomized Hough Transform
A. Boulch and R. Marlet
Published in Computer Graphics Forum, Wiley, 2012
Also in Symposium on Geometry Processing 2012 (SGP 2012)
Paper    Code    Slides    PDF