Publications

	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 Arxiv

	ConvPoint: Continuous Convolutions for Point Cloud Processing A. Boulch Published in Computers & Graphics, 2020 Paper Arxiv Code

	STaRFlow: A SpatioTemporal Recurrent Cell for Lightweight Multi-Frame Optical Flow Estimation P.Godet, A. Boulch, A. Plyer and G. Le Besnerais Arxiv

	FKAConv: Feature-Kernel Alignment for Point Cloud Convolution A. Boulch, G. Puy and R. Marlet 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 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