publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2027

  1. WACV
    2026_VaViT.png
    Vanilla ViT for Automotive Point Cloud Semantic Segmentation
    Gilles Puy, Nermin Samet, Alexandre Boulch, Spyros Gidaris, Tuan-Hung VU, and Renaud Marlet
    In Winter Conference on Applications of Computer Vision (WACV), 2027
  2. WACV
    2025_SuperQuadricOcc.png
    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

2026

  1. arXiv
    2026_pictura.png
    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
    arXiv preprint, 2026
  2. arXiv
    2026_TOAD.png
    TOAD: Test-Time Trajectory Optimization for Autonomous Driving
    Yihong Xu, Eloi Zablocki, Yuan Yin, Elias Ramzi, Ellington Kirby, Alexandre Boulch, and Matthieu Cord
    arXiv preprint, 2026
  3. ICIP
    2026_SSC-Priors.png
    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
  4. CVPR-W
    2026_EditSSC.png
    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
  5. CVPR
    2026_DrivoR.png
    Driving on Registers
    Ellington Kirby, Alexandre Boulch, Yihong Xu, Yuan Yin, Gilles Puy, Éloi Zablocki, Andrei Bursuc, Spyros Gidaris, Renaud Marlet, and Florent Bartoccioni
    In Computer Vision and Pattern Recognition, 2026
  6. CVPR
    2026_NAF.png
    NAF: Zero-Shot Feature Upsampling via Neighborhood Attention Filtering
    Loick Chambon, Paul Couairon, Eloi Zablocki, Alexandre Boulch, Nicolas Thome, and Matthieu Cord
    In Computer Vision and Pattern Recognition, 2026
  7. ICRA
    2026_PPT.png
    PPT: Pretraining with Pseudo-Labeled Trajectories for Motion Forecasting
    Yihong Xu, Yuan Yin, Éloi Zablocki, Tuan-Hung Vu, Alexandre Boulch, and Matthieu Cord
    In International Conference on Robotics & Automation, 2026
  8. 3DV
    2026_ALPINE.png
    Clustering is back: Reaching state-of-the-art LiDAR instance segmentation without training
    Corentin Sautier, Gilles Puy, Alexandre Boulch, Renaud Marlet, and Vincent Lepetit
    In International Conference on 3D Vision, 2026

2025

  1. BMVC
    2025_multimodal.png
    Improving Multimodal Distillation for 3D Semantic Segmentation under Domain Shift
    Björn Michele, Alexandre Boulch, Gilles Puy, Tuan-Hung Vu, Renaud Marlet, and Nicolas Courty
    In British Machine Vision Conference, 2025
  2. ICCV
    2025_GaussRender.png
    Gaussrender: Learning 3d occupancy with gaussian rendering
    Loick Chambon, Eloi Zablocki, Alexandre Boulch, Mickael Chen, and Matthieu Cord
    In International Conference on Computer Vision, 2025
  3. IV
    2025_LiDPM.png
    Lidpm: Rethinking point diffusion for lidar scene completion
    Tetiana Martyniuk, Gilles Puy, Alexandre Boulch, Renaud Marlet, and Raoul Charette
    In Intelligent Vehicles Symposium, 2025
  4. 3DV
    2025_UNIT.png
    UNIT: Unsupervised online instance segmentation through time
    Corentin Sautier, Gilles Puy, Alexandre Boulch, Renaud Marlet, and Vincent Lepetit
    In International Conference on 3D Vision, 2025
  5. arXiv
    2025_vavim.png
    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
    arXiv preprint, 2025

2024

  1. ECCV
    2024_TTYD.png
    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
    In European Conference on Computer Vision, 2024
  2. ECCV-W
    2024_ECCVW_Regents.png
    Regents: Real-world safety-critical driving scenario generation made stable
    Yuan Yin, Pegah Khayatan, Éloi Zablocki, Alexandre Boulch, and Matthieu Cord
    In European Conference on Computer Vision, Workshop on Multimodal Perception and Comprehension of Corner Cases in Autonomous Driving, 2024
  3. CVPR
    2024_pillars.png
    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
  4. ECCV-W
    2024_WAD_valeo4cast.png
    Valeo4cast: A modular approach to end-to-end forecasting
    Yihong Xu, Éloi Zablocki, Alexandre Boulch, Gilles Puy, Mickael Chen, Florent Bartoccioni, Nermin Samet, Oriane Siméoni, Spyros Gidaris, and Tuan-Hung Vu
    In European Conference on Computer Vision, Workshop, 2024
  5. CVPR-WAD
    2024_OccFeat.png
    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
  6. 3DV
    2024_3DV_saluda.png
    Saluda: Surface-based automotive lidar unsupervised domain adaptation
    Björn Michele, Alexandre Boulch, Gilles Puy, Tuan-Hung Vu, Renaud Marlet, and Nicolas Courty
    In International Conference on 3D Vision, 2024
  7. 3DV
    2024_3DV_bevcontrast.png
    Bevcontrast: Self-supervision in bev space for automotive lidar point clouds
    Corentin Sautier, Gilles Puy, Alexandre Boulch, Renaud Marlet, and Vincent Lepetit
    In International Conference on 3D Vision, 2024

2023

  1. ICCV
    2023_iccv_waffleiron.png
    Using a waffle iron for automotive point cloud semantic segmentation
    Gilles Puy, Alexandre Boulch, and Renaud Marlet
    In International Conference on Computer Vision, 2023
  2. CVPR
    2023_cvpr_rangevit.png
    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
  3. CVPR
    2023_cvpr_also.png
    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
  4. MLJ
    2023_weakly.png
    Weakly supervised change detection using guided anisotropic diffusion
    Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, and Yann Gousseau
    Machine Learning, 2023

2022

  1. ICPR
    2022_deep_surface.png
    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
  2. ICPR
    2022_vasad.png
    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
  3. arXiv
    2022_croco.png
    Croco: Cross-modal contrastive learning for localization of earth observation data
    Wei-Hsin Tseng, Hoàng-Ân Lê, Alexandre Boulch, Sébastien Lefèvre, and Dirk Tiede
    arXiv preprint, 2022
  4. CVPR
    2022_cvpr_slidr.png
    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
  5. CVPR
    2022_cvpr_poco.png
    Poco: Point convolution for surface reconstruction
    Alexandre Boulch and Renaud Marlet
    In Conference on computer vision and pattern recognition, 2022
  6. NeurIPS-W
    multi_modal.png
    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
  7. MLJ
    2019_jurse_semseg_thumbnail.png
    "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
    Machine Learning. Dataset , 2022
  8. GRSM
    2022_dfc.png
    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
    IEEE geoscience and remote sensing magazine, 2022

2021

  1. 3DV
    2021_3dv_needrop_thumbnail.png
    Needrop: Self-supervised shape representation from sparse point clouds using needle dropping
    Alexandre Boulch, Pierre-Alain Langlois, Gilles Puy, and Renaud Marlet
    In International Conference on 3D Vision, 2021
  2. 3DV
    2021_3dv_3dzsl_thumbnail.png
    Generative zero-shot learning for semantic segmentation of 3d point clouds
    Björn Michele, Alexandre Boulch, Gilles Puy, Maxime Bucher, and Renaud Marlet
    In International Conference on 3D Vision, 2021
  3. ICCV
    2021_iccv_pcam_thumbnail.png
    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
  4. ICIP
    2021_icip_multiview.png
    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
  5. ICPR
    2020_icpr_starflow_thumbnail.png
    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
  6. ICLR-W
    2021_energy.png
    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
  7. TGRS
    2021_energy_tgrs.png
    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
  8. IGARSS
    2021_classification.png
    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

2020

  1. ACCV
    2020_accv_fkaconv.png
    FKAConv: Feature-Kernel Alignment for Point Cloud Convolution
    Alexandre Boulch, Gilles Puy, and Renaud Marlet
    In Asian Conference on Computer Vision, 2020
  2. ECML PKDD
    2020_ecmlw_maclean_semisup_thumbnail.png
    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
  3. ECCV
    2020_eccv_flot_thumbnail.png
    Flot: Scene flow on point clouds guided by optimal transport
    Gilles Puy, Alexandre Boulch, and Renaud Marlet
    In European conference on computer vision, 2020
  4. C&G
    2020_cag_convpoint_thumbnail.png
    ConvPoint: Continuous convolutions for point cloud processing
    Alexandre Boulch
    Computers & Graphics, 2020
  5. AL
    2020_ai_decision.png
    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
    AerospaceLab journal, 2020

2019

  1. JURSE
    2019_jurse_semseg_thumbnail.png
    What data are needed for semantic segmentation in earth observation?
    Javiera Castillo-Navarro, Nicolas Audebert, Alexandre Boulch, Bertrand Le Saux, and Sébastien Lefèvre
    In Joint urban remote sensing event, 2019
  2. IGARSS
    2019_igarss_weak_thumbnail.png
    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
  3. CVPR-W
    2019_cvprw_change_detection_thumbnail.png
    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
  4. CVIU
    2019_cviu_semseg_thumbnail.png
    Distance transform regression for spatially-aware deep semantic segmentation
    Nicolas Audebert, Alexandre Boulch, Bertrand Le Saux, and Sébastien Lefèvre
    In Computer Vision and Image Understanding, 2019
  5. CVIU
    2019_cviu_change_detection_thumbnail.png
    Multitask learning for large-scale semantic change detection
    Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, and Yann Gousseau
    In Computer Vision and Image Understanding, 2019
  6. 3DV
    2019_3dv_disparity_thumbnail.png
    Fast stereo disparity maps refinement by fusion of data-based and model-based estimations
    Maxime Ferrera, Alexandre Boulch, and Julien Moras
    In International Conference on 3D Vision, 2019
  7. 3DV
    2019_3dv_surface_recons_thumbnail.png
    Surface reconstruction from 3d line segments
    Pierre-Alain Langlois, Alexandre Boulch, and Renaud Marlet
    In International Conference on 3D Vision, 2019
  8. RS
    2019_retrieval.png
    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
    Remote Sensing, 2019
  9. arXiv
    2019_colearning.png
    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
    arXiv preprint, 2019
  10. 2019_materiaux.png
    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
  11. GRETSI
    2019_gretsi_opticalflow.png
    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
  12. GRETSI
    2019_gretsi_semisup.png
    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

2018

  1. RFIAP
    2019_cviu_semseg_thumbnail.png
    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
  2. RFIAP
    2018-IGARSS-change.png
    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
  3. PRL
    2018-PRL-sharesnet.png
    Reducing parameter number in residual networks by sharing weights
    Alexandre Boulch
    Pattern Recognition Letters, 2018
  4. IGARSS
    2018-IGARSS-denoising.png
    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
  5. IGARSS
    2018-IGARSS-change.png
    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
  6. IGARSS
    2018-IGARSS-railway.png
    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
  7. IGARSS
    2018-IGARSS-LargeScale.png
    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
  8. EUSAR
    template.png
    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
  9. ICIP
    2018-ICIP-change.png
    Fully convolutional siamese networks for change detection
    Rodrigo Caye Daudt, Bertr Le Saux, and Alexandre Boulch
    In International conference on image processing, 2018
  10. C&G
    2017-CAG-snapnet.png
    SnapNet: 3D point cloud semantic labeling with 2D deep segmentation networks
    Alexandre Boulch, Joris Guerry, Bertrand Le Saux, and Nicolas Audebert
    Computers & Graphics, 2018
  11. arXiv
    2017-ICONIP-space.png
    Ionospheric activity prediction using convolutional recurrent neural networks
    Alexandre Boulch, Noëlie Cherrier, and Thibaut Castaings
    arXiv preprint, 2018

2017

  1. 3DOR
    2017-3DOR-SHREC-toys.png
    Point-cloud shape retrieval of non-rigid toys
    F Limberger, RC Wilson, M Aono, N Audebert, A Boulch, B Bustos, Andrea Giachetti, A Godil, B Le Saux, and B Li
    In Eurographics Workshop on 3D Object Retrieval. The Eurographics Association, 2017
  2. 3DOR
    2017-3DOR-SHREC-shapes.png
    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
  3. JURSE
    2017-JURSE-deep.png
    Deep learning for urban remote sensing
    Nicolas Audebert, Alexandre Boulch, Hicham Randrianarivo, Bertrand Le Saux, Marin Ferecatu, Sébastien Lefevre, and Renaud Marlet
    In Joint Urban Remote Sensing Event, 2017
  4. ICONIP
    2017-ICONIP-space.png
    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
  5. ICCV-W
    2017-ICCV-3DRMS-snapnetR.png
    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
  6. 2017_oil_slicks.jpg
    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

2016

  1. 2017-BIDS-shelf.png
    Off-the-shelf deep learning pipeline for remote sensing applications
    Rachit Tripathi, Adrien Chan-Hon-Tong, and Alexandre Boulch
    In Big Data from Space (BIDS), ESA Workshop, 2016
  2. 2016-ODAS-DL4RS.png
    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
  3. CGF
    2016-CGF-normals.png
    Deep learning for robust normal estimation in unstructured point clouds
    Alexandre Boulch and Renaud Marlet
    Computer graphics forum, 2016

2015

  1. IGARSS
    2016-JSTARS-eo.png
    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
  2. GRETSI
    2015-GRETSI-boxes.png
    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
  3. 2015_DAG.png
    DAG of convolutional networks for semantic labeling
    Alexandre Boulch
    2015

2014

  1. ICPR
    2014-ICPR-primitives.png
    Statistical criteria for shape fusion and selection
    Alexandre Boulch and Renaud Marlet
    In International Conference on Pattern Recognition, 2014
  2. CGF
    2014-CGF-recons.png
    Piecewise‐planar 3D reconstruction with edge and corner regularization
    Alexandre Boulch, Martin La Gorce, and Renaud Marlet
    Computer Graphics Forum, 2014

2013

  1. CGF
    2013-CGF-grammars.png
    Semantizing complex 3D scenes using constrained attribute grammars
    Alexandre Boulch, Simon Houllier, Renaud Marlet, and Olivier Tournaire
    Computer Graphics Forum, 2013
  2. GC
    2012-GaC-triangulation.png
    Irreducible triangulations of surfaces with boundary
    Alexandre Boulch, Éric Colin Verdière, and Atsuhiro Nakamoto
    Graphs and Combinatorics, 2013

2012

  1. CGF
    2012-CGF-normals.png
    Fast and robust normal estimation for point clouds with sharp features
    Alexandre Boulch and Renaud Marlet
    Computer graphics forum, 2012