Publications

	Weakly Supervised Change Detection Using Guided Anisotropic Diffusion R. C. Daudt, B. Le Saux, A. Boulch and Y. Gousseau Published in accepted at Machine Learning Journal, 2021

	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 accepted at Machine Learning Journal, 2021

	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

	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

	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

	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

	ConvPoint: Continuous Convolutions for Point Cloud Processing A. Boulch Published in Computers & Graphics, 2020 Also in Eurographics Workshop 3D Object Retrieval (3DOR) 2019

	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

	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

	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

	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

	High Resolution Semantic Change Detection R. C. Daudt, B. Le Saux, A. Boulch, Y. Gousseau Published in Computer Vision and Image Understanding (CVIU), 2019

	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

	Surface Reconstruction from 3D Line Segments P.-A. Langlois, A. Boulch, R. Marlet Published in International Conference on 3D vision (3DV 2019), 2019

	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

	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

	ShaResNet: reducing residual network parameter number by sharing weights A.Boulch Published in Pattern Recognition LettersP, 2018

	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

	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

	Fully Convolutional Siamese Networks for Change Detection R. Caye Daudt, B. Le Saux, A. Boulch Published in IEEE International Conference on Image Processing, 2018

	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

	Ionospheric activity prediction using convolutional recurrent neural networks A. Boulch, N. Cherrier, T. Castaings

	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

	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

	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

	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

	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

	Autoencodeurs pour la visualisation d’images hyperspectrales A. Boulch, N. Audebert and D. Dubucq Published in XXVI colloque Gretsi, 2017

	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

	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

	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

	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

	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)

	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

	Statistical Criteria for Shape Fusion and Selection A. Boulch and R. Marlet Published in International Conference on Pattern Recognition, ICPR, 2014

	Piecewise‐planar 3D reconstruction with edge and corner regularization A. Boulch, M. De La Gorce and R. Marlet Published in Computer Graphics Forum, Wiley, 2014 Also in Symposium on Geometry Processing 2014 (SGP 2014)

	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)

	Irreducible Triangulations of Surfaces with Boundary A. Boulch, É. Colin de Verdière and A. Nakamoto Published in Graphs and Combinatorics, Springer Verlag, 2012

	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)