Alexandre Boulch

According to our database, Alexandre Boulch authored at least 70 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

UNIT: Unsupervised Online Instance Segmentation through Time.

Corentin Sautier, Gilles Puy, Alexandre Boulch, Renaud Marlet, Vincent Lepetit

CoRR, 2024

ReGentS: Real-World Safety-Critical Driving Scenario Generation Made Stable.

Yuan Yin, Pegah Khayatan, Éloi Zablocki, Alexandre Boulch, Matthieu Cord

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, Renaud Marlet, Matthieu Cord

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

Proceedings of the Computer Vision - ECCV 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds.

Corentin Sautier, Gilles Puy, Alexandre Boulch, Renaud Marlet, Vincent Lepetit

Proceedings of the International Conference on 3D Vision, 2024

SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation.

Björn Michele, Alexandre Boulch, Gilles Puy, Tuan-Hung Vu, Renaud Marlet, Nicolas Courty

Proceedings of the International Conference on 3D Vision, 2024

2023

Weakly supervised change detection using guided anisotropic diffusion.

Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau

Mach. Learn., June, 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

Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation.

Gilles Puy, Alexandre Boulch, Renaud Marlet

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

ALSO: Automotive Lidar Self-Supervision by Occupancy Estimation.

Alexandre Boulch, Corentin Sautier, Björn Michele, Gilles Puy, Renaud Marlet

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving.

Angelika Ando, Spyros Gidaris, Andrei Bursuc, Gilles Puy, Alexandre Boulch, Renaud Marlet

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

HRSCD - High Resolution Semantic Change Detection Dataset.

Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau

Dataset, December, 2022

MiniFrance.

Javiera Castillo-Navarro, Bertrand Le Saux, Alexandre Boulch, Nicolas Audebert, Sébastien Lefèvre

Dataset, June, 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

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

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

Deep Surface Reconstruction from Point Clouds with Visibility Information.

Raphael Sulzer, Loïc Landrieu, Alexandre Boulch, Renaud Marlet, Bruno Vallet

Proceedings of the 26th International Conference on Pattern Recognition, 2022

VASAD: a Volume and Semantic dataset for Building Reconstruction from Point Clouds.

Pierre-Alain Langlois, Yang Xiao, Alexandre Boulch, Renaud Marlet

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data.

Corentin Sautier, Gilles Puy, Spyros Gidaris, Alexandre Boulch, Andrei Bursuc, Renaud Marlet

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

POCO: Point Convolution for Surface Reconstruction.

Alexandre Boulch, Renaud Marlet

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Weakly Supervised Change Detection Using Guided Anisotropic Difusion.

Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau

CoRR, 2021

Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Cloud.

Björn Michele, Alexandre Boulch, Gilles Puy, Maxime Bucher, Renaud Marlet

CoRR, 2021

Classification and Generation of Earth Observation Images Using a Joint Energy-Based Model.

Javiera Castillo-Navarro, Bertrand Le Saux, Alexandre Boulch, Sébastien Lefèvre

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

3D Reconstruction By Parameterized Surface Mapping.

Pierre-Alain Langlois, Matthew Fisher, Oliver Wang, Vladimir G. Kim, Alexandre Boulch, Renaud Marlet, Bryan C. Russell

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds.

Anh-Quan Cao, Gilles Puy, Alexandre Boulch, Renaud Marlet

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds.

Björn Michele, Alexandre Boulch, Gilles Puy, Maxime Bucher, Renaud Marlet

Proceedings of the International Conference on 3D Vision, 2021

NeeDrop: Self-supervised Shape Representation from Sparse Point Clouds using Needle Dropping.

Alexandre Boulch, Pierre-Alain Langlois, Gilles Puy, Renaud Marlet

Proceedings of the International Conference on 3D Vision, 2021

2020

OSCD - Onera Satellite Change Detection.

Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau

Dataset, June, 2020

LightConvPoint: convolution for points.

Alexandre Boulch, Gilles Puy, Renaud Marlet

CoRR, 2020

ConvPoint: Continuous convolutions for point cloud processing.

Alexandre Boulch

Comput. Graph., 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), 2020

STaRFlow: A SpatioTemporal Recurrent Cell for Lightweight Multi-Frame Optical Flow Estimation.

Pierre Godet, Alexandre Boulch, Aurélien Plyer, Guy Le Besnerais

Proceedings of the 25th International Conference on Pattern Recognition, 2020

FLOT: Scene Flow on Point Clouds Guided by Optimal Transport.

Gilles Puy, Alexandre Boulch, Renaud Marlet

Proceedings of the Computer Vision - ECCV 2020, 2020

FKAConv: Feature-Kernel Alignment for Point Cloud Convolution.

Alexandre Boulch, Gilles Puy, Renaud Marlet

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

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

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

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

What Data are needed for Semantic Segmentation in Earth Observation?

Javiera Castillo-Navarro, Nicolas Audebert, Alexandre Boulch, Bertrand Le Saux, Sébastien Lefèvre

Proceedings of the Joint Urban Remote Sensing Event, 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

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Guided Anisotropic Diffusion and Iterative Learning for Weakly Supervised Change Detection.

Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Generalizing Discrete Convolutions for Unstructured Point Clouds.

Alexandre Boulch

Proceedings of the 12th Eurographics Workshop on 3D Object Retrieval, 2019

Surface Reconstruction from 3D Line Segments.

Pierre-Alain Langlois, Alexandre Boulch, Renaud Marlet

Proceedings of the 2019 International Conference on 3D Vision, 2019

Fast Stereo Disparity Maps Refinement By Fusion of Data-Based And Model-Based Estimations.

Maxime Ferrera, Alexandre Boulch, Julien Moras

Proceedings of the 2019 International Conference on 3D Vision, 2019

2018

Reducing parameter number in residual networks by sharing weights.

Alexandre Boulch

Pattern Recognit. Lett., 2018

Ionospheric activity prediction using convolutional recurrent neural networks.

Alexandre Boulch, Noëlie Cherrier, Thibaut Castaings

CoRR, 2018

High Resolution Semantic Change Detection.

Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau

CoRR, 2018

SnapNet: 3D point cloud semantic labeling with 2D deep segmentation networks.

Alexandre Boulch, Joris Guerry, Bertrand Le Saux, Nicolas Audebert

Comput. Graph., 2018

Railway Detection: From Filtering to Segmentation Networks.

Bertrand Le Saux, Anne Beaupère, Alexandre Boulch, Jérémie Brossard, Antoine Manier, Guilhem Villemin

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 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

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks.

Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 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

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Fully Convolutional Siamese Networks for Change Detection.

Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017

ShaResNet: reducing residual network parameter number by sharing weights.

Alexandre Boulch

CoRR, 2017

Deep learning for urban remote sensing.

Nicolas Audebert, Alexandre Boulch, Hicham Randrianarivo, Bertrand Le Saux, Marin Ferecatu, Sébastien Lefèvre, Renaud Marlet

Proceedings of the Joint Urban Remote Sensing Event, 2017

Deep Sequence-to-Sequence Neural Networks for Ionospheric Activity Map Prediction.

Noëlie Cherrier, Thibaut Castaings, Alexandre Boulch

Proceedings of the Neural Information Processing - 24th International Conference, 2017

SnapNet-R: Consistent 3D Multi-view Semantic Labeling for Robotics.

Joris Guerry, Alexandre Boulch, Bertrand Le Saux, Julien Moras, Aurélien Plyer, David Filliat

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 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, Andrea Gasparetto, Y. Hong, J. Kim, Bertrand Le Saux, Roee Litman, Majid Masoumi, Giorgia Minello, Hai-Dang Nguyen, V.-T. Nguyen, Ryutarou Ohbuchi, Viet-Khoi Pham, Thuyen V. Phan, M. Rezaei, Andrea Torsello, Minh-Triet Tran, Q. T. Tran, Bao Truong, L. Wan, Changqing Zou

Proceedings of the 10th Eurographics Workshop on 3D Object Retrieval, 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, V.-T. Nguyen, Viet-Khoi Pham, Ivan Sipiran, Atsushi Tatsuma, Minh-Triet Tran, Santiago Velasco-Forero

Proceedings of the 10th Eurographics Workshop on 3D Object Retrieval, 2017

Unstructured Point Cloud Semantic Labeling Using Deep Segmentation Networks.

Alexandre Boulch, Bertrand Le Saux, Nicolas Audebert

Proceedings of the 10th Eurographics Workshop on 3D Object Retrieval, 2017

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, Michal Shimoni, Gabriele Moser, Devis Tuia

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Deep Learning for Robust Normal Estimation in Unstructured Point Clouds.

Alexandre Boulch, Renaud Marlet

Comput. Graph. Forum, 2016

2015

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

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014

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

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013

Irreducible Triangulations of Surfaces with Boundary.

Alexandre Boulch, Éric Colin de Verdière, Atsuhiro Nakamoto

Graphs Comb., 2013

Semantizing Complex 3D Scenes using Constrained Attribute Grammars.

Alexandre Boulch, S. Houllier, Renaud Marlet, Olivier Tournaire

Comput. Graph. Forum, 2013

2012

Fast and Robust Normal Estimation for Point Clouds with Sharp Features.

Alexandre Boulch, Renaud Marlet

Comput. Graph. Forum, 2012