GaussRender: Learning 3D Occupancy with Gaussian Rendering - Loïck Chambon; Eloi Zablocki; Alexandre Boulch; Mickaël Chen; Matthieu Cord (CoRR, 2025)

VaViM and VaVAM: Autonomous Driving through Video Generative Modeling - Florent Bartoccioni; Elias Ramzi; Victor Besnier; Shashanka Venkataramanan; Tuan-Hung Vu; Yihong Xu; Loïck Chambon; Spyros Gidaris; Serkan Odabas; David Hurych; Renaud Marlet; Alexandre Boulch; et al. (CoRR, 2025)

Clustering is back: Reaching state-of-the-art LiDAR instance segmentation without training - Corentin Sautier; Gilles Puy; Alexandre Boulch; Renaud Marlet; Vincent Lepetit (CoRR, 2025)

LiDPM: Rethinking Point Diffusion for Lidar Scene Completion - Tetiana Martyniuk; Gilles Puy; Alexandre Boulch; Renaud Marlet; Raoul de Charette (CoRR, 2025)

SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation - Björn Michele; Alexandre Boulch; Gilles Puy; Tuan-Hung Vu; Renaud Marlet; Nicolas Courty (International Conference on 3D Vision, 3DV 2024, Davos, Switzerland, March 18-21, 2024, 2024)

BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds - Corentin Sautier; Gilles Puy; Alexandre Boulch; Renaud Marlet; Vincent Lepetit (International Conference on 3D Vision, 3DV 2024, Davos, Switzerland, March 18-21, 2024, 2024)

OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation Networks - Sophia Sirko-Galouchenko; Alexandre Boulch; Spyros Gidaris; Andrei Bursuc; Antonín Vobecký; Patrick Pérez; Renaud Marlet (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024 - Workshops, Seattle, WA, USA, June 17-18, 2024, 2024)

Three Pillars Improving Vision Foundation Model Distillation for Lidar - Gilles Puy; Spyros Gidaris; Alexandre Boulch; Oriane Siméoni; Corentin Sautier; Patrick Pérez; Andrei Bursuc; Renaud Marlet (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, Seattle, WA, USA, June 16-22, 2024, 2024)

Train Till You Drop: Towards Stable and Robust Source-Free Unsupervised 3D Domain Adaptation - Björn Michele; Alexandre Boulch; Tuan-Hung Vu; Gilles Puy; Renaud Marlet; Nicolas Courty (Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XX, 2024)

Valeo4Cast: A Modular Approach to End-to-End Forecasting - Yihong Xu; Éloi Zablocki; Alexandre Boulch; Gilles Puy; Mickaël Chen; Florent Bartoccioni; Nermin Samet; Oriane Siméoni; Spyros Gidaris; Tuan-Hung Vu; Andrei Bursuc; Eduardo Valle; et al. (Computer Vision - ECCV 2024 Workshops - Milan, Italy, September 29-October 4, 2024, Proceedings, Part VII, 2024)

ReGentS: Real-World Safety-Critical Driving Scenario Generation Made Stable - Yuan Yin; Pegah Khayatan; Éloi Zablocki; Alexandre Boulch; Matthieu Cord (Computer Vision - ECCV 2024 Workshops - Milan, Italy, September 29-October 4, 2024, Proceedings, Part VII, 2024)

OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation Networks - Sophia Sirko-Galouchenko; Alexandre Boulch; Spyros Gidaris; Andrei Bursuc; Antonín Vobecký; Patrick Pérez; Renaud Marlet (CoRR, 2024)

Valeo4Cast: A Modular Approach to End-to-End Forecasting - Yihong Xu; Éloi Zablocki; Alexandre Boulch; Gilles Puy; Mickaël Chen; Florent Bartoccioni; Nermin Samet; Oriane Siméoni; Spyros Gidaris; Tuan-Hung Vu; Andrei Bursuc; Eduardo Valle; et al. (CoRR, 2024)

Train Till You Drop: Towards Stable and Robust Source-free Unsupervised 3D Domain Adaptation - Björn Michele; Alexandre Boulch; Tuan-Hung Vu; Gilles Puy; Renaud Marlet; Nicolas Courty (CoRR, 2024)

ReGentS: Real-World Safety-Critical Driving Scenario Generation Made Stable - Yuan Yin; Pegah Khayatan; Éloi Zablocki; Alexandre Boulch; Matthieu Cord (CoRR, 2024)

UNIT: Unsupervised Online Instance Segmentation through Time - Corentin Sautier; Gilles Puy; Alexandre Boulch; Renaud Marlet; Vincent Lepetit (CoRR, 2024)

PPT: Pre-Training with Pseudo-Labeled Trajectories for Motion Forecasting - Yihong Xu; Yuan Yin; Tuan-Hung Vu; Alexandre Boulch; Éloi Zablocki; Matthieu Cord (CoRR, 2024)

Weakly supervised change detection using guided anisotropic diffusion - Rodrigo Caye Daudt; Bertrand Le Saux; Alexandre Boulch; Yann Gousseau (Mach. Learn., 2023)

RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving - Angelika Ando; Spyros Gidaris; Andrei Bursuc; Gilles Puy; Alexandre Boulch; Renaud Marlet (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023, 2023)

ALSO: Automotive Lidar Self-Supervision by Occupancy Estimation - Alexandre Boulch; Corentin Sautier; Björn Michele; Gilles Puy; Renaud Marlet (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023, 2023)

Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation - Gilles Puy; Alexandre Boulch; Renaud Marlet (IEEE/CVF International Conference on Computer Vision, ICCV 2023, Paris, France, October 1-6, 2023, 2023)

Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation - Gilles Puy; Alexandre Boulch; Renaud Marlet (CoRR, 2023)

RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving - Angelika Ando; Spyros Gidaris; Andrei Bursuc; Gilles Puy; Alexandre Boulch; Renaud Marlet (CoRR, 2023)

SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation - Björn Michele; Alexandre Boulch; Gilles Puy; Tuan-Hung Vu; Renaud Marlet; Nicolas Courty (CoRR, 2023)

BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds - Corentin Sautier; Gilles Puy; Alexandre Boulch; Renaud Marlet; Vincent Lepetit (CoRR, 2023)

Revisiting the Distillation of Image Representations into Point Clouds for Autonomous Driving - Gilles Puy; Spyros Gidaris; Alexandre Boulch; Oriane Siméoni; Corentin Sautier; Patrick Pérez; Andrei Bursuc; Renaud Marlet (CoRR, 2023)

Semi-supervised semantic segmentation in Earth Observation: the MiniFrance suite, dataset analysis and multi-task network study - Javiera Castillo-Navarro; Bertrand Le Saux; Alexandre Boulch; Nicolas Audebert; Sébastien Lefèvre (Mach. Learn., 2022)

Energy-Based Models in Earth Observation: From Generation to Semisupervised Learning - Javiera Castillo-Navarro; Bertrand Le Saux; Alexandre Boulch; Sébastien Lefèvre (IEEE Trans. Geosci. Remote. Sens., 2022)

POCO: Point Convolution for Surface Reconstruction - Alexandre Boulch; Renaud Marlet (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022, 2022)

Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data - Corentin Sautier; Gilles Puy; Spyros Gidaris; Alexandre Boulch; Andrei Bursuc; Renaud Marlet (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022, 2022)

Deep Surface Reconstruction from Point Clouds with Visibility Information - Raphael Sulzer; Loïc Landrieu; Alexandre Boulch; Renaud Marlet; Bruno Vallet (26th International Conference on Pattern Recognition, ICPR 2022, Montreal, QC, Canada, August 21-25, 2022, 2022)

VASAD: a Volume and Semantic dataset for Building Reconstruction from Point Clouds - Pierre-Alain Langlois; Yang Xiao; Alexandre Boulch; Renaud Marlet (26th International Conference on Pattern Recognition, ICPR 2022, Montreal, QC, Canada, August 21-25, 2022, 2022)

MiniFrance - Javiera Castillo-Navarro; Bertrand Le Saux; Alexandre Boulch; Nicolas Audebert; Sébastien Lefèvre (IEEE DataPort, 2022)
Accessed on YYYY-MM-DD.

HRSCD - High Resolution Semantic Change Detection Dataset - Rodrigo Caye Daudt; Bertrand Le Saux; Alexandre Boulch; Yann Gousseau (IEEE DataPort, 2022)
Accessed on YYYY-MM-DD.

POCO: Point Convolution for Surface Reconstruction - Alexandre Boulch; Renaud Marlet (CoRR, 2022)

Deep Surface Reconstruction from Point Clouds with Visibility Information - Raphael Sulzer; Loïc Landrieu; Alexandre Boulch; Renaud Marlet; Bruno Vallet (CoRR, 2022)

Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data - Corentin Sautier; Gilles Puy; Spyros Gidaris; Alexandre Boulch; Andrei Bursuc; Renaud Marlet (CoRR, 2022)

CroCo: Cross-Modal Contrastive learning for localization of Earth Observation data - Wei-Hsin Tseng; Hoàng-Ân Lê; Alexandre Boulch; Sébastien Lefèvre; Dirk Tiede (CoRR, 2022)

ALSO: Automotive Lidar Self-supervision by Occupancy estimation - Alexandre Boulch; Corentin Sautier; Björn Michele; Gilles Puy; Renaud Marlet (CoRR, 2022)

NeeDrop: Self-supervised Shape Representation from Sparse Point Clouds using Needle Dropping - Alexandre Boulch; Pierre-Alain Langlois; Gilles Puy; Renaud Marlet (International Conference on 3D Vision, 3DV 2021, London, United Kingdom, December 1-3, 2021, 2021)

Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds - Björn Michele; Alexandre Boulch; Gilles Puy; Maxime Bucher; Renaud Marlet (International Conference on 3D Vision, 3DV 2021, London, United Kingdom, December 1-3, 2021, 2021)

PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds - Anh-Quan Cao; Gilles Puy; Alexandre Boulch; Renaud Marlet (2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021, Montreal, QC, Canada, October 10-17, 2021, 2021)

3D Reconstruction By Parameterized Surface Mapping - Pierre-Alain Langlois; Matthew Fisher; Oliver Wang; Vladimir G. Kim; Alexandre Boulch; Renaud Marlet; Bryan C. Russell (2021 IEEE International Conference on Image Processing, ICIP 2021, Anchorage, AK, USA, September 19-22, 2021, 2021)

Classification and Generation of Earth Observation Images Using a Joint Energy-Based Model - Javiera Castillo-Navarro; Bertrand Le Saux; Alexandre Boulch; Sébastien Lefèvre (IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021, Brussels, Belgium, July 11-16, 2021, 2021)

Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Cloud - Björn Michele; Alexandre Boulch; Gilles Puy; Maxime Bucher; Renaud Marlet (CoRR, 2021)

PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds - Anh-Quan Cao; Gilles Puy; Alexandre Boulch; Renaud Marlet (CoRR, 2021)

NeeDrop: Self-supervised Shape Representation from Sparse Point Clouds using Needle Dropping - Alexandre Boulch; Pierre-Alain Langlois; Gilles Puy; Renaud Marlet (CoRR, 2021)

Weakly Supervised Change Detection Using Guided Anisotropic Difusion - Rodrigo Caye Daudt; Bertrand Le Saux; Alexandre Boulch; Yann Gousseau (CoRR, 2021)

ConvPoint: Continuous convolutions for point cloud processing - Alexandre Boulch (Comput. Graph., 2020)

FKAConv: Feature-Kernel Alignment for Point Cloud Convolution - Alexandre Boulch; Gilles Puy; Renaud Marlet (Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part I, 2020)

FLOT: Scene Flow on Point Clouds Guided by Optimal Transport - Gilles Puy; Alexandre Boulch; Renaud Marlet (Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XXVIII, 2020)

STaRFlow: A SpatioTemporal Recurrent Cell for Lightweight Multi-Frame Optical Flow Estimation - Pierre Godet; Alexandre Boulch; Aurélien Plyer; Guy Le Besnerais (25th International Conference on Pattern Recognition, ICPR 2020, Virtual Event / Milan, Italy, January 10-15, 2021, 2020)

On Auxiliary Losses for Semi-Supervised Semantic Segmentation - Javiera Castillo-Navarro; Bertrand Le Saux; Alexandre Boulch; Sébastien Lefèvre (Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2020), Virtual Conference, September 14-18, 2020, 2020)

OSCD - Onera Satellite Change Detection - Rodrigo Caye Daudt; Bertrand Le Saux; Alexandre Boulch; Yann Gousseau (IEEE DataPort, 2020)
Accessed on YYYY-MM-DD.

LightConvPoint: convolution for points - Alexandre Boulch; Gilles Puy; Renaud Marlet (CoRR, 2020)

STaRFlow: A SpatioTemporal Recurrent Cell for Lightweight Multi-Frame Optical Flow Estimation - Pierre Godet; Alexandre Boulch; Aurélien Plyer; Guy Le Besnerais (CoRR, 2020)

FLOT: Scene Flow on Point Clouds Guided by Optimal Transport - Gilles Puy; Alexandre Boulch; Renaud Marlet (CoRR, 2020)

Semi-Supervised Semantic Segmentation in Earth Observation: The MiniFrance Suite, Dataset Analysis and Multi-task Network Study - Javiera Castillo-Navarro; Bertrand Le Saux; Alexandre Boulch; Nicolas Audebert; Sébastien Lefèvre (CoRR, 2020)

Multitask learning for large-scale semantic change detection - Rodrigo Caye Daudt; Bertrand Le Saux; Alexandre Boulch; Yann Gousseau (Comput. Vis. Image Underst., 2019)

Distance transform regression for spatially-aware deep semantic segmentation - Nicolas Audebert; Alexandre Boulch; Bertrand Le Saux; Sébastien Lefèvre (Comput. Vis. Image Underst., 2019)

Retrieval of Forest Vertical Structure from PolInSAR Data by Machine Learning Using LIDAR-Derived Features - Guillaume Brigot; Marc Simard; Elise Colin Koeniguer; Alexandre Boulch (Remote. Sens., 2019)

Fast Stereo Disparity Maps Refinement By Fusion of Data-Based And Model-Based Estimations - Maxime Ferrera; Alexandre Boulch; Julien Moras (2019 International Conference on 3D Vision, 3DV 2019, Québec City, QC, Canada, September 16-19, 2019, 2019)

Surface Reconstruction from 3D Line Segments - Pierre-Alain Langlois; Alexandre Boulch; Renaud Marlet (2019 International Conference on 3D Vision, 3DV 2019, Québec City, QC, Canada, September 16-19, 2019, 2019)

Generalizing Discrete Convolutions for Unstructured Point Clouds - Alexandre Boulch (12th Eurographics Workshop on 3D Object Retrieval, 3DOR@Eurographics 2019, Genoa, Italy, May 5-6, 2019, 2019)

Guided Anisotropic Diffusion and Iterative Learning for Weakly Supervised Change Detection - Rodrigo Caye Daudt; Bertrand Le Saux; Alexandre Boulch; Yann Gousseau (IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2019, Long Beach, CA, USA, June 16-20, 2019, 2019)

Learning to Understand Earth Observation Images with Weak and Unreliable Ground Truth - Rodrigo Caye Daudt; Adrien Chan-Hon-Tong; Bertrand Le Saux; Alexandre Boulch (2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019, Yokohama, Japan, July 28 - August 2, 2019, 2019)

What Data are needed for Semantic Segmentation in Earth Observation? - Javiera Castillo-Navarro; Nicolas Audebert; Alexandre Boulch; Bertrand Le Saux; Sébastien Lefèvre (Joint Urban Remote Sensing Event, JURSE 2019, Vannes, France, May 22-24, 2019, 2019)

Generalizing discrete convolutions for unstructured point clouds - Alexandre Boulch (CoRR, 2019)

Guided Anisotropic Diffusion and Iterative Learning for Weakly Supervised Change Detection - Rodrigo Caye Daudt; Bertrand Le Saux; Alexandre Boulch; Yann Gousseau (CoRR, 2019)

Distance transform regression for spatially-aware deep semantic segmentation - Nicolas Audebert; Alexandre Boulch; Bertrand Le Saux; Sébastien Lefèvre (CoRR, 2019)

Surface Reconstruction from 3D Line Segments - Pierre-Alain Langlois; Alexandre Boulch; Renaud Marlet (CoRR, 2019)

Technical Report: Co-learning of geometry and semantics for online 3D mapping - Marcela Carvalho; Maxime Ferrera; Alexandre Boulch; Julien Moras; Bertrand Le Saux; Pauline Trouvé-Peloux (CoRR, 2019)

SnapNet: 3D point cloud semantic labeling with 2D deep segmentation networks - Alexandre Boulch; Joris Guerry; Bertrand Le Saux; Nicolas Audebert (Comput. Graph., 2018)

Reducing parameter number in residual networks by sharing weights - Alexandre Boulch (Pattern Recognit. Lett., 2018)

Fully Convolutional Siamese Networks for Change Detection - Rodrigo Caye Daudt; Bertrand Le Saux; Alexandre Boulch (2018 IEEE International Conference on Image Processing, ICIP 2018, Athens, Greece, October 7-10, 2018, 2018)

Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks - Rodrigo Caye Daudt; Bertrand Le Saux; Alexandre Boulch; Yann Gousseau (2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018, Valencia, Spain, July 22-27, 2018, 2018)

Learning Speckle Suppression in Sar Images Without Ground Truth: Application to Sentinel-1 Time-Series - Alexandre Boulch; Pauline Trouvé; Elise Colin Koeniguer; Fabrice Janez; Bertrand Le Saux (2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018, Valencia, Spain, July 22-27, 2018, 2018)

Railway Detection: From Filtering to Segmentation Networks - Bertrand Le Saux; Anne Beaupère; Alexandre Boulch; Jérémie Brossard; Antoine Manier; Guilhem Villemin (2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018, Valencia, Spain, July 22-27, 2018, 2018)

Large-Scale Semantic Classification: Outcome of the First Year of Inria Aerial Image Labeling Benchmark - Bohao Huang; Kangkang Lu; Nicolas Audebert; Andrew Khalel; Yuliya Tarabalka; Jordan M. Malof; Alexandre Boulch; Bertrand Le Saux; Leslie M. Collins; Kyle Bradbury; Sébastien Lefèvre; Motaz El-Saban (2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018, Valencia, Spain, July 22-27, 2018, 2018)

High Resolution Semantic Change Detection - Rodrigo Caye Daudt; Bertrand Le Saux; Alexandre Boulch; Yann Gousseau (CoRR, 2018)

Fully Convolutional Siamese Networks for Change Detection - Rodrigo Caye Daudt; Bertrand Le Saux; Alexandre Boulch (CoRR, 2018)

Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks - Rodrigo Caye Daudt; Bertrand Le Saux; Alexandre Boulch; Yann Gousseau (CoRR, 2018)

Ionospheric activity prediction using convolutional recurrent neural networks - Alexandre Boulch; Noëlie Cherrier; Thibaut Castaings (CoRR, 2018)

Unstructured Point Cloud Semantic Labeling Using Deep Segmentation Networks - Alexandre Boulch; Bertrand Le Saux; Nicolas Audebert (10th Eurographics Workshop on 3D Object Retrieval, 3DOR@Eurographics 2017, Lyon, France, April 23-24, 2017, 2017)

SHREC'17 Track: Point-Cloud Shape Retrieval of Non-Rigid Toys - Frederico A. Limberger; Richard C. Wilson; Masaki Aono; Nicolas Audebert; Alexandre Boulch; Benjamin Bustos; Andrea Giachetti; Afzal Godil; Bertrand Le Saux; Bo Li; Yijuan Lu; Hai-Dang Nguyen; et al. (10th Eurographics Workshop on 3D Object Retrieval, 3DOR@Eurographics 2017, Lyon, France, April 23-24, 2017, 2017)

Deformable Shape Retrieval with Missing Parts - Emanuele Rodolà; Luca Cosmo; Or Litany; Michael M. Bronstein; Alexander M. Bronstein; Nicolas Audebert; A. Ben Hamza; Alexandre Boulch; Umberto Castellani; Minh N. Do; Duc Anh Duong; Takahiko Furuya; et al. (10th Eurographics Workshop on 3D Object Retrieval, 3DOR@Eurographics 2017, Lyon, France, April 23-24, 2017, 2017)

SnapNet-R: Consistent 3D Multi-view Semantic Labeling for Robotics - Joris Guerry; Alexandre Boulch; Bertrand Le Saux; Julien Moras; Aurélien Plyer; David Filliat (2017 IEEE International Conference on Computer Vision Workshops, ICCV Workshops 2017, Venice, Italy, October 22-29, 2017, 2017)

Deep Sequence-to-Sequence Neural Networks for Ionospheric Activity Map Prediction - Noëlie Cherrier; Thibaut Castaings; Alexandre Boulch (Neural Information Processing - 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part V, 2017)

Deep learning for urban remote sensing - Nicolas Audebert; Alexandre Boulch; Hicham Randrianarivo; Bertrand Le Saux; Marin Ferecatu; Sébastien Lefèvre; Renaud Marlet (Joint Urban Remote Sensing Event, JURSE 2017, Dubai, United Arab Emirates, March 6-8, 2017, 2017)

ShaResNet: reducing residual network parameter number by sharing weights - Alexandre Boulch (CoRR, 2017)

Deep Learning for Robust Normal Estimation in Unstructured Point Clouds - Alexandre Boulch; Renaud Marlet (Comput. Graph. Forum, 2016)

Processing of Extremely High-Resolution LiDAR and RGB Data: Outcome of the 2015 IEEE GRSS Data Fusion Contest-Part A: 2-D Contest - Manuel Campos-Taberner; Adriana Romero-Soriano; Carlo Gatta; Gustau Camps-Valls; Adrien Lagrange; Bertrand Le Saux; Anne Beaupère; Alexandre Boulch; Adrien Chan-Hon-Tong; Stéphane Herbin; Hicham Randrianarivo; Marin Ferecatu; et al. (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Benchmarking classification of earth-observation data: From learning explicit features to convolutional networks - Adrien Lagrange; Bertrand Le Saux; Anne Beaupère; Alexandre Boulch; Adrien Chan-Hon-Tong; Stéphane Herbin; Hicham Randrianarivo; Marin Ferecatu (2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015, Milan, Italy, July 26-31, 2015, 2015)

Piecewise-Planar 3D Reconstruction with Edge and Corner Regularization - Alexandre Boulch; Martin de La Gorce; Renaud Marlet (Comput. Graph. Forum, 2014)

Statistical Criteria for Shape Fusion and Selection - Alexandre Boulch; Renaud Marlet (22nd International Conference on Pattern Recognition, ICPR 2014, Stockholm, Sweden, August 24-28, 2014, 2014)

Semantizing Complex 3D Scenes using Constrained Attribute Grammars - Alexandre Boulch; S. Houllier; Renaud Marlet; Olivier Tournaire (Comput. Graph. Forum, 2013)

Irreducible Triangulations of Surfaces with Boundary - Alexandre Boulch; Éric Colin de Verdière; Atsuhiro Nakamoto (Graphs Comb., 2013)

Fast and Robust Normal Estimation for Point Clouds with Sharp Features - Alexandre Boulch; Renaud Marlet (Comput. Graph. Forum, 2012)

Irreducible triangulations of surfaces with boundary - Alexandre Boulch; Éric Colin de Verdière; Atsuhiro Nakamoto (CoRR, 2011)