@inproceedings{boulch2027vavit,title={Vanilla ViT for Automotive Point Cloud Semantic Segmentation},author={Puy, Gilles and Samet, Nermin and Boulch, Alexandre and Gidaris, Spyros and VU, Tuan-Hung and Marlet, Renaud},booktitle={Winter Conference on Applications of Computer Vision (WACV)},year={2027},}
WACV
SuperQuadricOcc: Multi-Layer Gaussian Approximation of Superquadrics for Real-Time Self-Supervised Occupancy Estimation
Seamie Hayes, Reenu Mohandas, Tim Brophy, Alexandre Boulch, Ganesh Sistu, and Ciaran Eising
In Winter Conference on Applications of Computer Vision (WACV), 2027
@inproceedings{boulch2025superquadricocc,title={SuperQuadricOcc: Multi-Layer Gaussian Approximation of Superquadrics for Real-Time Self-Supervised Occupancy Estimation},author={Hayes, Seamie and Mohandas, Reenu and Brophy, Tim and Boulch, Alexandre and Sistu, Ganesh and Eising, Ciaran},booktitle={Winter Conference on Applications of Computer Vision (WACV)},year={2027},}
2026
arXiv
Pictura: Perspective-View Self-Play at Scale for Driving
Yuan Yin, Elias Ramzi, Marc Lafon, Valentin Charraut, Victor Bares, Yihong Xu, Éloi Zablocki, Alexandre Boulch, Thibault Buhet, Andrei Bursuc, and Matthieu Cord
@article{boulch2026pictura,title={Pictura: Perspective-View Self-Play at Scale for Driving},author={Yin, Yuan and Ramzi, Elias and Lafon, Marc and Charraut, Valentin and Bares, Victor and Xu, Yihong and Zablocki, Éloi and Boulch, Alexandre and Buhet, Thibault and Bursuc, Andrei and Cord, Matthieu},journal={arXiv preprint},year={2026},}
arXiv
TOAD: Test-Time Trajectory Optimization for Autonomous Driving
Yihong Xu, Eloi Zablocki, Yuan Yin, Elias Ramzi, Ellington Kirby, Alexandre Boulch, and Matthieu Cord
@article{boulch2026toad,title={TOAD: Test-Time Trajectory Optimization for Autonomous Driving},author={Xu, Yihong and Zablocki, Eloi and Yin, Yuan and Ramzi, Elias and Kirby, Ellington and Boulch, Alexandre and Cord, Matthieu},journal={arXiv preprint},year={2026},}
ICIP
SSC-Priors: Exploring Easy Boosts For Lidar Semantic Scene Completion
Tetiana Martyniuk, Jonathan Seele, Alexandre Boulch, Gilles Puy, Renaud Marlet, and Raoul Charette
In IEEE International Conference on Image Processing, 2026
@inproceedings{boulch2026sscpriors,title={SSC-Priors: Exploring Easy Boosts For Lidar Semantic Scene Completion},author={Martyniuk, Tetiana and Seele, Jonathan and Boulch, Alexandre and Puy, Gilles and Marlet, Renaud and de Charette, Raoul},booktitle={IEEE International Conference on Image Processing},year={2026},}
CVPR-W
EditSSC: Toward Editable Semantic Occupancy Scenes with Unconditional Diffusion Models
Fatima Balde, Raoul Charette, and Alexandre Boulch
In Computer Vision and Pattern Recognition Workshops, 2026
@inproceedings{boulch2026editssc,title={EditSSC: Toward Editable Semantic Occupancy Scenes with Unconditional Diffusion Models},author={Balde, Fatima and de Charette, Raoul and Boulch, Alexandre},booktitle={Computer Vision and Pattern Recognition Workshops},year={2026},}
@inproceedings{boulch2026drivor,title={Driving on Registers},author={Kirby, Ellington and Boulch, Alexandre and Xu, Yihong and Yin, Yuan and Puy, Gilles and Zablocki, Éloi and Bursuc, Andrei and Gidaris, Spyros and Marlet, Renaud and Bartoccioni, Florent},booktitle={Computer Vision and Pattern Recognition},year={2026},}
CVPR
NAF: Zero-Shot Feature Upsampling via Neighborhood Attention Filtering
Loick Chambon, Paul Couairon, Eloi Zablocki, Alexandre Boulch, Nicolas Thome, and Matthieu Cord
@inproceedings{boulch2026naf,title={NAF: Zero-Shot Feature Upsampling via Neighborhood Attention Filtering},author={Chambon, Loick and Couairon, Paul and Zablocki, Eloi and Boulch, Alexandre and Thome, Nicolas and Cord, Matthieu},booktitle={Computer Vision and Pattern Recognition},year={2026},}
ICRA
PPT: Pretraining with Pseudo-Labeled Trajectories for Motion Forecasting
@inproceedings{boulch2026ppt,title={PPT: Pretraining with Pseudo-Labeled Trajectories for Motion Forecasting},author={Xu, Yihong and Yin, Yuan and Zablocki, Éloi and Vu, Tuan-Hung and Boulch, Alexandre and Cord, Matthieu},booktitle={International Conference on Robotics \& Automation},year={2026},}
3DV
Clustering is back: Reaching state-of-the-art LiDAR instance segmentation without training
Corentin Sautier, Gilles Puy, Alexandre Boulch, Renaud Marlet, and Vincent Lepetit
@inproceedings{boulch2026alpine,title={Clustering is back: Reaching state-of-the-art LiDAR instance segmentation without training},author={Sautier, Corentin and Puy, Gilles and Boulch, Alexandre and Marlet, Renaud and Lepetit, Vincent},booktitle={International Conference on 3D Vision},year={2026},}
2025
BMVC
Improving Multimodal Distillation for 3D Semantic Segmentation under Domain Shift
Björn Michele, Alexandre Boulch, Gilles Puy, Tuan-Hung Vu, Renaud Marlet, and Nicolas Courty
@inproceedings{boulch2025multimodal,title={Improving Multimodal Distillation for 3D Semantic Segmentation under Domain Shift},author={Michele, Björn and Boulch, Alexandre and Puy, Gilles and Vu, Tuan-Hung and Marlet, Renaud and Courty, Nicolas},booktitle={British Machine Vision Conference},year={2025},}
ICCV
Gaussrender: Learning 3d occupancy with gaussian rendering
@inproceedings{boulch2025gaussrender,title={Gaussrender: Learning 3d occupancy with gaussian rendering},author={Chambon, Loick and Zablocki, Eloi and Boulch, Alexandre and Chen, Mickael and Cord, Matthieu},booktitle={International Conference on Computer Vision},year={2025},}
IV
Lidpm: Rethinking point diffusion for lidar scene completion
@inproceedings{boulch2025lidpm,title={Lidpm: Rethinking point diffusion for lidar scene completion},author={Martyniuk, Tetiana and Puy, Gilles and Boulch, Alexandre and Marlet, Renaud and de Charette, Raoul},booktitle={Intelligent Vehicles Symposium},year={2025},}
3DV
UNIT: Unsupervised online instance segmentation through time
Corentin Sautier, Gilles Puy, Alexandre Boulch, Renaud Marlet, and Vincent Lepetit
@inproceedings{boulch2025unit,title={UNIT: Unsupervised online instance segmentation through time},author={Sautier, Corentin and Puy, Gilles and Boulch, Alexandre and Marlet, Renaud and Lepetit, Vincent},booktitle={International Conference on 3D Vision},year={2025},}
arXiv
Vavim and vavam: Autonomous driving through video generative modeling
Florent Bartoccioni, Elias Ramzi, Victor Besnier, Shashanka Venkataramanan, Tuan-Hung Vu, Yihong Xu, Loick Chambon, Spyros Gidaris, Serkan Odabas, and David Hurych
@article{boulch2025vavim,title={Vavim and vavam: Autonomous driving through video generative modeling},author={Bartoccioni, Florent and Ramzi, Elias and Besnier, Victor and Venkataramanan, Shashanka and Vu, Tuan-Hung and Xu, Yihong and Chambon, Loick and Gidaris, Spyros and Odabas, Serkan and Hurych, David},journal={arXiv preprint},year={2025},}
2024
ECCV
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, and Nicolas Courty
@inproceedings{boulch2024ttyd,title={Train till you drop: Towards stable and robust source-free unsupervised 3d domain adaptation},author={Michele, Björn and Boulch, Alexandre and Vu, Tuan-Hung and Puy, Gilles and Marlet, Renaud and Courty, Nicolas},booktitle={European Conference on Computer Vision},year={2024},}
ECCV-W
Regents: Real-world safety-critical driving scenario generation made stable
@inproceedings{boulch2024eccvwregents,title={Regents: Real-world safety-critical driving scenario generation made stable},author={Yin, Yuan and Khayatan, Pegah and Zablocki, Éloi and Boulch, Alexandre and Cord, Matthieu},booktitle={European Conference on Computer Vision, Workshop on Multimodal Perception and Comprehension of Corner Cases in Autonomous Driving},year={2024},}
CVPR
Three pillars improving vision foundation model distillation for lidar
Gilles Puy, Spyros Gidaris, Alexandre Boulch, Oriane Siméoni, Corentin Sautier, Patrick Pérez, Andrei Bursuc, and Renaud Marlet
In Conference on Computer Vision and Pattern Recognition, 2024
@inproceedings{boulch2024pillars,title={Three pillars improving vision foundation model distillation for lidar},author={Puy, Gilles and Gidaris, Spyros and Boulch, Alexandre and Siméoni, Oriane and Sautier, Corentin and Pérez, Patrick and Bursuc, Andrei and Marlet, Renaud},booktitle={Conference on Computer Vision and Pattern Recognition},year={2024},}
ECCV-W
Valeo4cast: A modular approach to end-to-end forecasting
@inproceedings{boulch2024wadvaleo4cast,title={Valeo4cast: A modular approach to end-to-end forecasting},author={Xu, Yihong and Zablocki, Éloi and Boulch, Alexandre and Puy, Gilles and Chen, Mickael and Bartoccioni, Florent and Samet, Nermin and Siméoni, Oriane and Gidaris, Spyros and Vu, Tuan-Hung},booktitle={European Conference on Computer Vision, Workshop},year={2024},}
CVPR-WAD
Occfeat: Self-supervised occupancy feature prediction for pretraining bev segmentation networks
Sophia Sirko-Galouchenko, Alexandre Boulch, Spyros Gidaris, Andrei Bursuc, Antonin Vobecky, Patrick Pérez, and Renaud Marlet
In Conference on Computer Vision and Pattern Recognition, Workshop on Autonomous Driving, 2024
@inproceedings{boulch2024occfeat,title={Occfeat: Self-supervised occupancy feature prediction for pretraining bev segmentation networks},author={Sirko-Galouchenko, Sophia and Boulch, Alexandre and Gidaris, Spyros and Bursuc, Andrei and Vobecky, Antonin and Pérez, Patrick and Marlet, Renaud},booktitle={Conference on Computer Vision and Pattern Recognition, Workshop on Autonomous Driving},year={2024},}
@inproceedings{boulch20243dvsaluda,title={Saluda: Surface-based automotive lidar unsupervised domain adaptation},author={Michele, Björn and Boulch, Alexandre and Puy, Gilles and Vu, Tuan-Hung and Marlet, Renaud and Courty, Nicolas},booktitle={International Conference on 3D Vision},year={2024},}
3DV
Bevcontrast: Self-supervision in bev space for automotive lidar point clouds
Corentin Sautier, Gilles Puy, Alexandre Boulch, Renaud Marlet, and Vincent Lepetit
@inproceedings{boulch20243dvbevcontrast,title={Bevcontrast: Self-supervision in bev space for automotive lidar point clouds},author={Sautier, Corentin and Puy, Gilles and Boulch, Alexandre and Marlet, Renaud and Lepetit, Vincent},booktitle={International Conference on 3D Vision},year={2024},}
2023
ICCV
Using a waffle iron for automotive point cloud semantic segmentation
Gilles Puy, Alexandre Boulch, and Renaud Marlet
In International Conference on Computer Vision, 2023
@inproceedings{boulch2023iccvwaffleiron,title={Using a waffle iron for automotive point cloud semantic segmentation},author={Puy, Gilles and Boulch, Alexandre and Marlet, Renaud},booktitle={International Conference on Computer Vision},year={2023},}
CVPR
Rangevit: Towards vision transformers for 3d semantic segmentation in autonomous driving
Angelika Ando, Spyros Gidaris, Andrei Bursuc, Gilles Puy, Alexandre Boulch, and Renaud Marlet
In Conference on computer vision and pattern recognition, 2023
@inproceedings{boulch2023cvprrangevit,title={Rangevit: Towards vision transformers for 3d semantic segmentation in autonomous driving},author={Ando, Angelika and Gidaris, Spyros and Bursuc, Andrei and Puy, Gilles and Boulch, Alexandre and Marlet, Renaud},booktitle={Conference on computer vision and pattern recognition},year={2023},}
CVPR
ALSO: Automotive lidar self-supervision by occupancy estimation
Alexandre Boulch, Corentin Sautier, Björn Michele, Gilles Puy, and Renaud Marlet
In Conference on Computer Vision and Pattern Recognition, 2023
@inproceedings{boulch2023cvpralso,title={ALSO: Automotive lidar self-supervision by occupancy estimation},author={Boulch, Alexandre and Sautier, Corentin and Michele, Björn and Puy, Gilles and Marlet, Renaud},booktitle={Conference on Computer Vision and Pattern Recognition},year={2023},}
MLJ
Weakly supervised change detection using guided anisotropic diffusion
Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, and Yann Gousseau
@article{boulch2023weakly,title={Weakly supervised change detection using guided anisotropic diffusion},author={Daudt, Rodrigo Caye and Saux, Bertrand Le and Boulch, Alexandre and Gousseau, Yann},journal={Machine Learning},year={2023},}
2022
ICPR
Deep surface reconstruction from point clouds with visibility information
Raphael Sulzer, Loic Landrieu, Alexandre Boulch, Renaud Marlet, and Bruno Vallet
In International Conference on Pattern Recognition, 2022
@inproceedings{boulch2022deepsurface,title={Deep surface reconstruction from point clouds with visibility information},author={Sulzer, Raphael and Landrieu, Loic and Boulch, Alexandre and Marlet, Renaud and Vallet, Bruno},booktitle={International Conference on Pattern Recognition},year={2022},}
ICPR
VASAD: a volume and semantic dataset for building reconstruction from point clouds
Pierre-Alain Langlois, Yang Xiao, Alexandre Boulch, and Renaud Marlet
In International Conference on Pattern Recognition, 2022
@inproceedings{boulch2022vasad,title={VASAD: a volume and semantic dataset for building reconstruction from point clouds},author={Langlois, Pierre-Alain and Xiao, Yang and Boulch, Alexandre and Marlet, Renaud},booktitle={International Conference on Pattern Recognition},year={2022},}
arXiv
Croco: Cross-modal contrastive learning for localization of earth observation data
@article{boulch2022croco,title={Croco: Cross-modal contrastive learning for localization of earth observation data},author={Tseng, Wei-Hsin and Lê, Hoàng-Ân and Boulch, Alexandre and Lefèvre, Sébastien and Tiede, Dirk},journal={arXiv preprint},year={2022},}
CVPR
Image-to-lidar self-supervised distillation for autonomous driving data
Corentin Sautier, Gilles Puy, Spyros Gidaris, Alexandre Boulch, Andrei Bursuc, and Renaud Marlet
In Conference on Computer Vision and Pattern Recognition, 2022
@inproceedings{boulch2022cvprslidr,title={Image-to-lidar self-supervised distillation for autonomous driving data},author={Sautier, Corentin and Puy, Gilles and Gidaris, Spyros and Boulch, Alexandre and Bursuc, Andrei and Marlet, Renaud},booktitle={Conference on Computer Vision and Pattern Recognition},year={2022},}
CVPR
Poco: Point convolution for surface reconstruction
Alexandre Boulch and Renaud Marlet
In Conference on computer vision and pattern recognition, 2022
@inproceedings{boulch2022cvprpoco,title={Poco: Point convolution for surface reconstruction},author={Boulch, Alexandre and Marlet, Renaud},booktitle={Conference on computer vision and pattern recognition},year={2022},}
NeurIPS-W
Multi-Modal 3D GAN for Urban Scenes
Loïck Chambon, Mickael Chen, Tuan-Hung Vu, Alexandre Boulch, Andrei Bursuc, Matthieu Cord, and Patrick Pérez
In Conference on Neural Information Processing Systems Workshop, 2022
@inproceedings{boulch2022modal,title={Multi-Modal 3D GAN for Urban Scenes},author={Chambon, Loïck and Chen, Mickael and Vu, Tuan-Hung and Boulch, Alexandre and Bursuc, Andrei and Cord, Matthieu and Pérez, Patrick},booktitle={Conference on Neural Information Processing Systems Workshop},year={2022},}
MLJ
"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, and Sébastien Lefèvre
@article{boulch2022jursesemseg,title={"Semi-supervised semantic segmentation in earth observation: The minifrance suite, dataset analysis and multi-task network study"},author={Castillo-Navarro, Javiera and Saux, Bertrand Le and Boulch, Alexandre and Audebert, Nicolas and Lefèvre, Sébastien},journal={Machine Learning},year={2022},}
GRSM
Report on the 2022 IEEE Geoscience and Remote Sensing Society Data Fusion Contest: Semisupervised learning
Ronny Hansch, Claudio Persello, Gemine Vivone, Javiera Castillo Navarro, Alexandre Boulch, Sebastien Lefevre, and Bertrand Le Saux
@article{boulch2022dfc,title={Report on the 2022 IEEE Geoscience and Remote Sensing Society Data Fusion Contest: Semisupervised learning},author={Hansch, Ronny and Persello, Claudio and Vivone, Gemine and Navarro, Javiera Castillo and Boulch, Alexandre and Lefevre, Sebastien and Saux, Bertrand Le},journal={IEEE geoscience and remote sensing magazine},year={2022},}
2021
3DV
Needrop: Self-supervised shape representation from sparse point clouds using needle dropping
Alexandre Boulch, Pierre-Alain Langlois, Gilles Puy, and Renaud Marlet
@inproceedings{boulch20213dvneedrop,title={Needrop: Self-supervised shape representation from sparse point clouds using needle dropping},author={Boulch, Alexandre and Langlois, Pierre-Alain and Puy, Gilles and Marlet, Renaud},booktitle={International Conference on 3D Vision},year={2021},}
3DV
Generative zero-shot learning for semantic segmentation of 3d point clouds
Björn Michele, Alexandre Boulch, Gilles Puy, Maxime Bucher, and Renaud Marlet
@inproceedings{boulch20213dv3dzsl,title={Generative zero-shot learning for semantic segmentation of 3d point clouds},author={Michele, Björn and Boulch, Alexandre and Puy, Gilles and Bucher, Maxime and Marlet, Renaud},booktitle={International Conference on 3D Vision},year={2021},}
ICCV
PCAM: Product of cross-attention matrices for rigid registration of point clouds
Anh-Quan Cao, Gilles Puy, Alexandre Boulch, and Renaud Marlet
In International conference on computer vision, 2021
@inproceedings{boulch2021iccvpcam,title={PCAM: Product of cross-attention matrices for rigid registration of point clouds},author={Cao, Anh-Quan and Puy, Gilles and Boulch, Alexandre and Marlet, Renaud},booktitle={International conference on computer vision},year={2021},}
ICIP
3D Reconstruction By Parameterized Surface Mapping
Pierre-Alain Langlois, Matthew Fisher, Oliver Wang, Vladimir Kim, Alexandre Boulch, Renaud Marlet, and Bryan Russell
In International Conference on Image Processing, 2021
@inproceedings{boulch2021icipmultiview,title={3D Reconstruction By Parameterized Surface Mapping},author={Langlois, Pierre-Alain and Fisher, Matthew and Wang, Oliver and Kim, Vladimir and Boulch, Alexandre and Marlet, Renaud and Russell, Bryan},booktitle={International Conference on Image Processing},year={2021},}
ICPR
Starflow: A spatiotemporal recurrent cell for lightweight multi-frame optical flow estimation
Pierre Godet, Alexandre Boulch, Aurélien Plyer, and Guy Le Besnerais
In International conference on pattern recognition, 2021
@inproceedings{boulch2021icprstarflow,title={Starflow: A spatiotemporal recurrent cell for lightweight multi-frame optical flow estimation},author={Godet, Pierre and Boulch, Alexandre and Plyer, Aurélien and Besnerais, Guy Le},booktitle={International conference on pattern recognition},year={2021},}
ICLR-W
Energy-based models for earth observation applications
Javiera Castillo Navarro, Bertrand Le Saux, Alexandre Boulch, and Sébastien Lefevre
In International Conference on Learning representation, Energy Based Models Workshop. Paper@HAL , 2021
@inproceedings{boulch2021energy,title={Energy-based models for earth observation applications},author={Navarro, Javiera Castillo and Saux, Bertrand Le and Boulch, Alexandre and Lefevre, Sébastien},booktitle={International Conference on Learning representation, Energy Based Models Workshop},year={2021},}
TGRS
Energy-based models in Earth observation: From generation to semisupervised learning
Javiera Castillo-Navarro, Bertrand Le Saux, Alexandre Boulch, and Sebastien Lefevre
IEEE Transactions on Geoscience and Remote Sensing. Paper@HAL , 2021
@article{boulch2021energytgrs,title={Energy-based models in Earth observation: From generation to semisupervised learning},author={Castillo-Navarro, Javiera and Saux, Bertrand Le and Boulch, Alexandre and Lefevre, Sebastien},journal={IEEE Transactions on Geoscience and Remote Sensing},year={2021},}
IGARSS
Classification and generation of Earth observation images using a joint energy-based model
Javiera Castillo-Navarro, Bertrand Le Saux, Alexandre Boulch, and Sébastien Lefèvre
In International Geoscience and Remote Sensing Symposium. Paper@HAL , 2021
@inproceedings{boulch2021classification,title={Classification and generation of Earth observation images using a joint energy-based model},author={Castillo-Navarro, Javiera and Saux, Bertrand Le and Boulch, Alexandre and Lefèvre, Sébastien},booktitle={International Geoscience and Remote Sensing Symposium},year={2021},}
2020
ACCV
FKAConv: Feature-Kernel Alignment for Point Cloud Convolution
@inproceedings{boulch2020accvfkaconv,title={FKAConv: Feature-Kernel Alignment for Point Cloud Convolution},author={Boulch, Alexandre and Puy, Gilles and Marlet, Renaud},booktitle={Asian Conference on Computer Vision},year={2020},}
ECML PKDD
On auxiliary losses for semi-supervised semantic segmentation
Javiera Castillo-Navarro, Bertrand Le Saux, Alexandre Boulch, and Sébastien Lefevre
In European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2020
@inproceedings{boulch2020ecmlwmacleansemisupthumb,title={On auxiliary losses for semi-supervised semantic segmentation},author={Castillo-Navarro, Javiera and Saux, Bertrand Le and Boulch, Alexandre and Lefevre, Sébastien},booktitle={European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},year={2020},}
ECCV
Flot: Scene flow on point clouds guided by optimal transport
@inproceedings{boulch2020eccvflot,title={Flot: Scene flow on point clouds guided by optimal transport},author={Puy, Gilles and Boulch, Alexandre and Marlet, Renaud},booktitle={European conference on computer vision},year={2020},}
C&G
ConvPoint: Continuous convolutions for point cloud processing
@article{boulch2020cagconvpoint,title={ConvPoint: Continuous convolutions for point cloud processing},author={Boulch, Alexandre},journal={Computers \& Graphics},year={2020},}
AL
Artificial Intelligence and Decision Making - Recent Examples of Deep Learning Contributions for Earth Observation Issues
E. Colin Koeniguer, G. Le Besnerais, A. Chan Hon Tong, B. Le Saux, A. Boulch, P. Trouvé, R. Caye Daudt, N. Audebert, G. Brigot, P. Godet, B. Le Teurnier, M. Carvalho, and J. Castillo-Navarro
@article{boulch2020aidecision,title={Artificial Intelligence and Decision Making - Recent Examples of Deep Learning Contributions for Earth Observation Issues},author={Koeniguer, E. Colin and Besnerais, G. Le and Tong, A. Chan Hon and Saux, B. Le and Boulch, A. and Trouvé, P. and Daudt, R. Caye and Audebert, N. and Brigot, G. and Godet, P. and Teurnier, B. Le and Carvalho, M. and Castillo-Navarro, J.},journal={AerospaceLab journal},year={2020},}
2019
JURSE
What data are needed for semantic segmentation in earth observation?
Javiera Castillo-Navarro, Nicolas Audebert, Alexandre Boulch, Bertrand Le Saux, and Sébastien Lefèvre
@inproceedings{boulch2019jursesemseg,title={What data are needed for semantic segmentation in earth observation?},author={Castillo-Navarro, Javiera and Audebert, Nicolas and Boulch, Alexandre and Saux, Bertrand Le and Lefèvre, Sébastien},booktitle={Joint urban remote sensing event},year={2019},}
IGARSS
Learning to understand earth observation images with weak and unreliable ground truth
Rodrigo Caye Daudt, Adrien Chan-Hon-Tong, Bertrand Le Saux, and Alexandre Boulch
In International Geoscience and Remote Sensing Symposium, 2019
@inproceedings{boulch2019igarssweak,title={Learning to understand earth observation images with weak and unreliable ground truth},author={Daudt, Rodrigo Caye and Chan-Hon-Tong, Adrien and Saux, Bertrand Le and Boulch, Alexandre},booktitle={International Geoscience and Remote Sensing Symposium},year={2019},}
CVPR-W
Guided anisotropic diffusion and iterative learning for weakly supervised change detection
Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, and Yann Gousseau
In Conference on Computer Vision and Pattern Recognition, Workshop, 2019
@inproceedings{boulch2019cvprwchangedetectionthum,title={Guided anisotropic diffusion and iterative learning for weakly supervised change detection},author={Daudt, Rodrigo Caye and Saux, Bertrand Le and Boulch, Alexandre and Gousseau, Yann},booktitle={Conference on Computer Vision and Pattern Recognition, Workshop},year={2019},}
CVIU
Distance transform regression for spatially-aware deep semantic segmentation
Nicolas Audebert, Alexandre Boulch, Bertrand Le Saux, and Sébastien Lefèvre
@inproceedings{boulch2019cviusemseg,title={Distance transform regression for spatially-aware deep semantic segmentation},author={Audebert, Nicolas and Boulch, Alexandre and Saux, Bertrand Le and Lefèvre, Sébastien},booktitle={Computer Vision and Image Understanding},year={2019},}
CVIU
Multitask learning for large-scale semantic change detection
Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, and Yann Gousseau
@inproceedings{boulch2019cviuchangedetectionthumb,title={Multitask learning for large-scale semantic change detection},author={Daudt, Rodrigo Caye and Saux, Bertrand Le and Boulch, Alexandre and Gousseau, Yann},booktitle={Computer Vision and Image Understanding},year={2019},}
3DV
Fast stereo disparity maps refinement by fusion of data-based and model-based estimations
Maxime Ferrera, Alexandre Boulch, and Julien Moras
@inproceedings{boulch20193dvdisparity,title={Fast stereo disparity maps refinement by fusion of data-based and model-based estimations},author={Ferrera, Maxime and Boulch, Alexandre and Moras, Julien},booktitle={International Conference on 3D Vision},year={2019},}
3DV
Surface reconstruction from 3d line segments
Pierre-Alain Langlois, Alexandre Boulch, and Renaud Marlet
@inproceedings{boulch20193dvsurfacereconsthumbnai,title={Surface reconstruction from 3d line segments},author={Langlois, Pierre-Alain and Boulch, Alexandre and Marlet, Renaud},booktitle={International Conference on 3D Vision},year={2019},}
RS
Retrieval of forest vertical structure from PolInSAR data by machine learning using LIDAR-derived features
Guillaume Brigot, Marc Simard, Elise Colin-Koeniguer, and Alexandre Boulch
@article{boulch2019retrieval,title={Retrieval of forest vertical structure from PolInSAR data by machine learning using LIDAR-derived features},author={Brigot, Guillaume and Simard, Marc and Colin-Koeniguer, Elise and Boulch, Alexandre},journal={Remote Sensing},year={2019},}
arXiv
Technical Report: Co-learning of geometry and semantics for online 3D mapping
Marcela Carvalho, Maxime Ferrera, Alexandre Boulch, Julien Moras, Bertrand Le Saux, and Pauline Trouvé-Peloux
@article{boulch2019colearning,title={Technical Report: Co-learning of geometry and semantics for online 3D mapping},author={Carvalho, Marcela and Ferrera, Maxime and Boulch, Alexandre and Moras, Julien and Saux, Bertrand Le and Trouvé-Peloux, Pauline},journal={arXiv preprint},year={2019},}
Détection et reconnaissance d’endommagements dans les matériaux composites par Deep Learning
Antoine Hurmane, Jean-Michel Roche, Francois-Henri Leroy, Alexandre Boulch, and Guy Le Besneray
In 21ème Journées Nationales sur les Composites, 2019
@inproceedings{boulch2019materiaux,title={Détection et reconnaissance d’endommagements dans les matériaux composites par Deep Learning},author={Hurmane, Antoine and Roche, Jean-Michel and Leroy, Francois-Henri and Boulch, Alexandre and Besneray, Guy Le},booktitle={21ème Journées Nationales sur les Composites},year={2019},}
GRETSI
Estimation de flot optique multiframe par apprentissage profond
Pierre Godet, Aurélien Plyer, Alexandre Boulch, and Guy Le Besnerais
In Colloque GRETSI sur le Traitement du Signal et des Images, 2019
@inproceedings{boulch2019gretsiopticalflow,title={Estimation de flot optique multiframe par apprentissage profond},author={Godet, Pierre and Plyer, Aurélien and Boulch, Alexandre and Besnerais, Guy Le},booktitle={Colloque GRETSI sur le Traitement du Signal et des Images},year={2019},}
GRETSI
Réseaux de neurones semi-supervisés pour la segmentation sémantique en télédétection
Javiera Castillo-Navarro, Bertrand Le Saux, Alexandre Boulch, and Sébastien Lefèvre
In Colloque GRETSI sur le Traitement du Signal et des Images, 2019
@inproceedings{boulch2019gretsisemisup,title={Réseaux de neurones semi-supervisés pour la segmentation sémantique en télédétection},author={Castillo-Navarro, Javiera and Saux, Bertrand Le and Boulch, Alexandre and Lefèvre, Sébastien},booktitle={Colloque GRETSI sur le Traitement du Signal et des Images},year={2019},}
2018
RFIAP
Segmentation sémantique profonde par régression sur cartes de distances signées
Nicolas Audebert, Alexandre Boulch, Bertrand Le Saux, and Sébastien Lefèvre
In Reconnaissance des Formes, Image, Apprentissage et Perception, 2018
@inproceedings{boulch2018cviusemseg,title={Segmentation sémantique profonde par régression sur cartes de distances signées},author={Audebert, Nicolas and Boulch, Alexandre and Saux, Bertrand Le and Lefèvre, Sébastien},booktitle={Reconnaissance des Formes, Image, Apprentissage et Perception},year={2018},}
RFIAP
Détection dense de changements par réseaux de neurones siamois
Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, and Yann Gousseau
In Reconnaissance des Formes, Image, Apprentissage et Perception, 2018
@inproceedings{boulch20182018igarsschange,title={Détection dense de changements par réseaux de neurones siamois},author={Daudt, Rodrigo Caye and Saux, Bertrand Le and Boulch, Alexandre and Gousseau, Yann},booktitle={Reconnaissance des Formes, Image, Apprentissage et Perception},year={2018},}
PRL
Reducing parameter number in residual networks by sharing weights
@article{boulch20182018prlsharesnet,title={Reducing parameter number in residual networks by sharing weights},author={Boulch, Alexandre},journal={Pattern Recognition Letters},year={2018},}
IGARSS
Learning speckle suppression in SAR images without ground truth: application to sentinel-1 time-series
Alexandre Boulch, Pauline Trouvé, Elise Koeniguer, Fabrice Janez, and Bertr Le Saux
In International Geoscience and Remote Sensing Symposium, 2018
@inproceedings{boulch20182018igarssdenoising,title={Learning speckle suppression in SAR images without ground truth: application to sentinel-1 time-series},author={Boulch, Alexandre and Trouvé, Pauline and Koeniguer, Elise and Janez, Fabrice and Saux, Bertr Le},booktitle={International Geoscience and Remote Sensing Symposium},year={2018},}
IGARSS
Urban change detection for multispectral earth observation using convolutional neural networks
Rodrigo Caye Daudt, Bertr Le Saux, Alexandre Boulch, and Yann Gousseau
In International Geoscience and Remote Sensing Symposium, 2018
@inproceedings{boulch20182018igarsschangeb,title={Urban change detection for multispectral earth observation using convolutional neural networks},author={Daudt, Rodrigo Caye and Saux, Bertr Le and Boulch, Alexandre and Gousseau, Yann},booktitle={International Geoscience and Remote Sensing Symposium},year={2018},}
IGARSS
Railway detection: From filtering to segmentation networks
Bertrand Le Saux, Anne Beaupère, Alexandre Boulch, Jérémie Brossard, Antoine Manier, and Guilhem Villemin
In International Geoscience and Remote Sensing Symposium. PDF @ HAL , 2018
@inproceedings{boulch20182018igarssrailway,title={Railway detection: From filtering to segmentation networks},author={Saux, Bertrand Le and Beaupère, Anne and Boulch, Alexandre and Brossard, Jérémie and Manier, Antoine and Villemin, Guilhem},booktitle={International Geoscience and Remote Sensing Symposium},year={2018},}
IGARSS
Large-scale semantic classification: outcome of the first year of inria aerial image labeling benchmark
Bohao Huang, Kangkang Lu, Nicolas Audeberr, Andrew Khalel, Yuliya Tarabalka, Jordan Malof, Alexandre Boulch, Bertr Le Saux, Leslie Collins, and Kyle Bradbury
In International Geoscience and Remote Sensing Symposium. PDF @ HAL , 2018
@inproceedings{boulch20182018igarsslargescale,title={Large-scale semantic classification: outcome of the first year of inria aerial image labeling benchmark},author={Huang, Bohao and Lu, Kangkang and Audeberr, Nicolas and Khalel, Andrew and Tarabalka, Yuliya and Malof, Jordan and Boulch, Alexandre and Saux, Bertr Le and Collins, Leslie and Bradbury, Kyle},booktitle={International Geoscience and Remote Sensing Symposium},year={2018},}
EUSAR
Colored visualization of multitemporal SAR data for change detection: issues and methods
Elise Colin-Koeniguer, Alexandre Boulch, Pauline Trouve-Peloux, and Fabrice Janez
In European Conference on Synthetic Aperture Radar, 2018
@inproceedings{boulch2018template,title={Colored visualization of multitemporal SAR data for change detection: issues and methods},author={Colin-Koeniguer, Elise and Boulch, Alexandre and Trouve-Peloux, Pauline and Janez, Fabrice},booktitle={European Conference on Synthetic Aperture Radar},year={2018},}
ICIP
Fully convolutional siamese networks for change detection
Rodrigo Caye Daudt, Bertr Le Saux, and Alexandre Boulch
In International conference on image processing, 2018
@inproceedings{boulch20182018icipchange,title={Fully convolutional siamese networks for change detection},author={Daudt, Rodrigo Caye and Saux, Bertr Le and Boulch, Alexandre},booktitle={International conference on image processing},year={2018},}
C&G
SnapNet: 3D point cloud semantic labeling with 2D deep segmentation networks
Alexandre Boulch, Joris Guerry, Bertrand Le Saux, and Nicolas Audebert
@article{boulch20182017cagsnapnet,title={SnapNet: 3D point cloud semantic labeling with 2D deep segmentation networks},author={Boulch, Alexandre and Guerry, Joris and Saux, Bertrand Le and Audebert, Nicolas},journal={Computers \& Graphics},year={2018},}
arXiv
Ionospheric activity prediction using convolutional recurrent neural networks
Alexandre Boulch, Noëlie Cherrier, and Thibaut Castaings
@inproceedings{boulch201720173dorshrectoys,title={Point-cloud shape retrieval of non-rigid toys},author={Limberger, F and Wilson, RC and Aono, M and Audebert, N and Boulch, A and Bustos, B and Giachetti, Andrea and Godil, A and Saux, B Le and Li, B},booktitle={Eurographics Workshop on 3D Object Retrieval. The Eurographics Association},year={2017},}
3DOR
SHREC’17: 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, and Do MN
In Eurographics Workshop on 3D Object Retrieval, 2017
@inproceedings{boulch201720173dorshrecshapes,title={SHREC'17: deformable shape retrieval with missing parts},author={Rodolà, Emanuele and Cosmo, Luca and Litany, Or and Bronstein, Michael M and Bronstein, Alexander M and Audebert, Nicolas and Hamza, A Ben and Boulch, Alexandre and Castellani, Umberto and MN, Do},booktitle={Eurographics Workshop on 3D Object Retrieval},year={2017},}
JURSE
Deep learning for urban remote sensing
Nicolas Audebert, Alexandre Boulch, Hicham Randrianarivo, Bertrand Le Saux, Marin Ferecatu, Sébastien Lefevre, and Renaud Marlet
@inproceedings{boulch20172017jursedeep,title={Deep learning for urban remote sensing},author={Audebert, Nicolas and Boulch, Alexandre and Randrianarivo, Hicham and Saux, Bertrand Le and Ferecatu, Marin and Lefevre, Sébastien and Marlet, Renaud},booktitle={Joint Urban Remote Sensing Event},year={2017},}
ICONIP
Deep sequence-to-sequence neural networks for ionospheric activity map prediction
Noëlie Cherrier, Thibaut Castaings, and Alexandre Boulch
In International Conference on Neural Information Processing, 2017
@inproceedings{boulch20172017iconipspace,title={Deep sequence-to-sequence neural networks for ionospheric activity map prediction},author={Cherrier, Noëlie and Castaings, Thibaut and Boulch, Alexandre},booktitle={International Conference on Neural Information Processing},year={2017},}
ICCV-W
Snapnet-r: Consistent 3d multi-view semantic labeling for robotics
Joris Guerry, Alexandre Boulch, Bertrand Le Saux, Julien Moras, Aurélien Plyer, and David Filliat
In International conference on computer vision workshops, 2017
@inproceedings{boulch20172017iccv3drmssnapnetr,title={Snapnet-r: Consistent 3d multi-view semantic labeling for robotics},author={Guerry, Joris and Boulch, Alexandre and Saux, Bertrand Le and Moras, Julien and Plyer, Aurélien and Filliat, David},booktitle={International conference on computer vision workshops},year={2017},}
Radar and optical remote sensing in offshore domain to detect, characterize, and quantify ocean surface oil slicks
S Angelliaume, X Ceamanos, F Viallefont-Robinet, R Baqué, Ph Déliot, and V Miegebielle
In Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions, 2017
@inproceedings{boulch2017oilslicks,title={Radar and optical remote sensing in offshore domain to detect, characterize, and quantify ocean surface oil slicks},author={Angelliaume, S and Ceamanos, X and Viallefont-Robinet, F and Baqué, R and Déliot, Ph and Miegebielle, V},booktitle={Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions},year={2017},}
2016
Off-the-shelf deep learning pipeline for remote sensing applications
Rachit Tripathi, Adrien Chan-Hon-Tong, and Alexandre Boulch
@inproceedings{boulch20162017bidsshelf,title={Off-the-shelf deep learning pipeline for remote sensing applications},author={Tripathi, Rachit and Chan-Hon-Tong, Adrien and Boulch, Alexandre},booktitle={Big Data from Space (BIDS), ESA Workshop},year={2016},}
Deep learning for remote sensing
Nicolas Audebert, Alexandre Boulch, Adrien Lagrange, Bertrand Le Saux, and Sébastien Lefevre
In Communications of the 16th ONERA-DLR Aerospace Symposium, 2016
@inproceedings{boulch20162016odasdl4rs,title={Deep learning for remote sensing},author={Audebert, Nicolas and Boulch, Alexandre and Lagrange, Adrien and Saux, Bertrand Le and Lefevre, Sébastien},booktitle={Communications of the 16th ONERA-DLR Aerospace Symposium},year={2016},}
CGF
Deep learning for robust normal estimation in unstructured point clouds
@article{boulch20162016cgfnormals,title={Deep learning for robust normal estimation in unstructured point clouds},author={Boulch, Alexandre and Marlet, Renaud},journal={Computer graphics forum},year={2016},}
2015
IGARSS
Benchmarking classification of earth-observation data: From learning explicit features to convolutional networks
Adrien Lagrange, Bertrand Le Saux, Anne Beaupere, Alexandre Boulch, Adrien Chan-Hon-Tong, Stéphane Herbin, Hicham Randrianarivo, and Marin Ferecatu
In International Geoscience and Remote Sensing Symposium, 2015
@inproceedings{boulch20152016jstarseo,title={Benchmarking classification of earth-observation data: From learning explicit features to convolutional networks},author={Lagrange, Adrien and Saux, Bertrand Le and Beaupere, Anne and Boulch, Alexandre and Chan-Hon-Tong, Adrien and Herbin, Stéphane and Randrianarivo, Hicham and Ferecatu, Marin},booktitle={International Geoscience and Remote Sensing Symposium},year={2015},}
GRETSI
Un générateur de boites englobantes parcimonieux pour la détection d’objets dans des vidéos
Adrien Chan-Hon-Tong, Stephane Herbin, and Alexandre Boulch
In Colloque GRETSI sur le Traitement du Signal et des Images, 2015
@inproceedings{boulch20152015gretsiboxes,title={Un générateur de boites englobantes parcimonieux pour la détection d'objets dans des vidéos},author={Chan-Hon-Tong, Adrien and Herbin, Stephane and Boulch, Alexandre},booktitle={Colloque GRETSI sur le Traitement du Signal et des Images},year={2015},}
DAG of convolutional networks for semantic labeling
@misc{boulch2015dag,title={DAG of convolutional networks for semantic labeling},author={Boulch, Alexandre},howpublished={Technical report, Office national d’études et de recherches aérospatiales},year={2015},}
2014
ICPR
Statistical criteria for shape fusion and selection
Alexandre Boulch and Renaud Marlet
In International Conference on Pattern Recognition, 2014
@inproceedings{boulch20142014icprprimitives,title={Statistical criteria for shape fusion and selection},author={Boulch, Alexandre and Marlet, Renaud},booktitle={International Conference on Pattern Recognition},year={2014},}
CGF
Piecewise‐planar 3D reconstruction with edge and corner regularization
Alexandre Boulch, Martin La Gorce, and Renaud Marlet
@article{boulch20142014cgfrecons,title={Piecewise‐planar 3D reconstruction with edge and corner regularization},author={Boulch, Alexandre and de La Gorce, Martin and Marlet, Renaud},journal={Computer Graphics Forum},year={2014},}
2013
CGF
Semantizing complex 3D scenes using constrained attribute grammars
Alexandre Boulch, Simon Houllier, Renaud Marlet, and Olivier Tournaire
@article{boulch20132013cgfgrammars,title={Semantizing complex 3D scenes using constrained attribute grammars},author={Boulch, Alexandre and Houllier, Simon and Marlet, Renaud and Tournaire, Olivier},journal={Computer Graphics Forum},year={2013},}
GC
Irreducible triangulations of surfaces with boundary
Alexandre Boulch, Éric Colin Verdière, and Atsuhiro Nakamoto
@article{boulch20132012gactriangulation,title={Irreducible triangulations of surfaces with boundary},author={Boulch, Alexandre and de Verdière, Éric Colin and Nakamoto, Atsuhiro},journal={Graphs and Combinatorics},year={2013},}
2012
CGF
Fast and robust normal estimation for point clouds with sharp features
@article{boulch20122012cgfnormals,title={Fast and robust normal estimation for point clouds with sharp features},author={Boulch, Alexandre and Marlet, Renaud},journal={Computer graphics forum},year={2012},}