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

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)

Statistical Criteria for Shape Fusion and Selection. - Alexandre Boulch; Renaud Marlet (ICPR, 2014)

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

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 (IGARSS, 2015)

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)

Unstructured Point Cloud Semantic Labeling Using Deep Segmentation Networks. - Alexandre Boulch; Bertrand Le Saux; Nicolas Audebert (3DOR@Eurographics, 2017)

SHREC'17 Track: Point-Cloud Shape Retrieval of Non-Rigid Toys. - Frederico A. Limberger; Richard C. Wilson 001; Masaki Aono; Nicolas Audebert; Alexandre Boulch; Benjamin Bustos; Andrea Giachetti 001; Afzal Godil; Bertrand Le Saux; Bo Li 013; Yijuan Lu; Hai-Dang Nguyen; et al. (3DOR@Eurographics, 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. (3DOR@Eurographics, 2017)

SnapNet-R: Consistent 3D Multi-view Semantic Labeling for Robotics. - Joris Guerry; Alexandre Boulch; Bertrand Le Saux; Julien Moras; Aurélien Plyer; David Filliat (ICCV Workshops, 2017)

Deep Sequence-to-Sequence Neural Networks for Ionospheric Activity Map Prediction. - Noëlie Cherrier; Thibaut Castaings; Alexandre Boulch (ICONIP (5), 2017)

Deep learning for urban remote sensing. - Nicolas Audebert; Alexandre Boulch; Hicham Randrianarivo; Bertrand Le Saux; Marin Ferecatu; Sébastien Lefèvre; Renaud Marlet (JURSE, 2017)

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

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

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

Large-Scale Semantic Classification: Outcome of the First Year of Inria Aerial Image Labeling Benchmark. - Bohao Huang; Kangkang Lu 001; Nicolas Audebert; Andrew Khalel; Yuliya Tarabalka; Jordan M. Malof; Alexandre Boulch; Bertrand Le Saux; Leslie M. Collins; Kyle Bradbury; Sébastien Lefèvre; Motaz El-Saban (IGARSS, 2018)

Railway Detection: From Filtering to Segmentation Networks. - Bertrand Le Saux; Anne Beaupère; Alexandre Boulch; Jérémie Brossard; Antoine Manier; Guilhem Villemin (IGARSS, 2018)

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

High Resolution Semantic Change Detection. - 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)

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

Fast Stereo Disparity Maps Refinement By Fusion of Data-Based And Model-Based Estimations. - Maxime Ferrera; Alexandre Boulch; Julien Moras (3DV, 2019)

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

Generalizing Discrete Convolutions for Unstructured Point Clouds. - Alexandre Boulch (3DOR@Eurographics, 2019)

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

What Data are needed for Semantic Segmentation in Earth Observation? - Javiera Castillo-Navarro; Nicolas Audebert; Alexandre Boulch; Bertrand Le Saux; Sébastien Lefèvre (JURSE, 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)

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

Multitask learning for large-scale semantic change detection. - Rodrigo Caye Daudt; Bertrand Le Saux; Alexandre Boulch; Yann Gousseau (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)

FKAConv: Feature-Kernel Alignment for Point Cloud Convolution. - Alexandre Boulch; Gilles Puy; Renaud Marlet (ACCV (1), 2020)

FLOT: Scene Flow on Point Clouds Guided by Optimal Transport. - Gilles Puy; Alexandre Boulch; Renaud Marlet (ECCV (28), 2020)

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

On Auxiliary Losses for Semi-Supervised Semantic Segmentation. - Javiera Castillo-Navarro; Bertrand Le Saux; Alexandre Boulch; Sébastien Lefèvre (MACLEAN@PKDD/ECML, 2020)

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

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

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

NeeDrop: Self-supervised Shape Representation from Sparse Point Clouds using Needle Dropping. - Alexandre Boulch; Pierre-Alain Langlois; Gilles Puy; Renaud Marlet (3DV, 2021)

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

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

3D Reconstruction By Parameterized Surface Mapping. - Pierre-Alain Langlois; Matthew Fisher; Oliver Wang; Vladimir G. Kim; Alexandre Boulch; Renaud Marlet; Bryan C. Russell (ICIP, 2021)

Classification and Generation of Earth Observation Images Using a Joint Energy-Based Model. - Javiera Castillo-Navarro; Bertrand Le Saux; Alexandre Boulch; Sébastien Lefèvre (IGARSS, 2021)

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

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

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

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

VASAD: a Volume and Semantic dataset for Building Reconstruction from Point Clouds. - Pierre-Alain Langlois; Yang Xiao 009; Alexandre Boulch; Renaud Marlet (ICPR, 2022)

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

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)

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

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

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

ALSO: Automotive Lidar Self-Supervision by Occupancy Estimation. - Alexandre Boulch; Corentin Sautier; Björn Michele; Gilles Puy; Renaud Marlet (CVPR, 2023)

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

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

SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation. - Björn Michele; Alexandre Boulch; Gilles Puy; Tuan-Hung Vu; Renaud Marlet; Nicolas Courty (3DV, 2024)

BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds. - Corentin Sautier; Gilles Puy; Alexandre Boulch; Renaud Marlet; Vincent Lepetit (3DV, 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 (CVPR, 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 (CVPR Workshops, 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 (ECCV (20), 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. (ECCV Workshops (7), 2024)

ReGentS: Real-World Safety-Critical Driving Scenario Generation Made Stable. - Yuan Yin; Pegah Khayatan; Éloi Zablocki; Alexandre Boulch; Matthieu Cord (ECCV Workshops (7), 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)

UNIT: Unsupervised Online Instance Segmentation Through Time. - Corentin Sautier; Gilles Puy; Alexandre Boulch; Renaud Marlet; Vincent Lepetit (3DV, 2025)

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)