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2020 – today
- 2024
[c39]Björn Michele
, Alexandre Boulch, Gilles Puy, Tuan-Hung Vu, Renaud Marlet, Nicolas Courty:
SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation. 3DV 2024: 421-431- [c38]Corentin Sautier, Gilles Puy, Alexandre Boulch, Renaud Marlet, Vincent Lepetit:
BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds. 3DV 2024: 559-568 - [c37]Sophia Sirko-Galouchenko, Alexandre Boulch, Spyros Gidaris, Andrei Bursuc, Antonín Vobecký, Patrick Pérez, Renaud Marlet:
OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation Networks. CVPR Workshops 2024: 4493-4503 - [c36]Gilles Puy, Spyros Gidaris, Alexandre Boulch, Oriane Siméoni, Corentin Sautier, Patrick Pérez, Andrei Bursuc, Renaud Marlet:
Three Pillars Improving Vision Foundation Model Distillation for Lidar. CVPR 2024: 21519-21529 - [i34]Sophia Sirko-Galouchenko, Alexandre Boulch, Spyros Gidaris, Andrei Bursuc, Antonín Vobecký, Patrick Pérez, Renaud Marlet:
OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation Networks. CoRR abs/2404.14027 (2024) - [i33]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:
Valeo4Cast: A Modular Approach to End-to-End Forecasting. CoRR abs/2406.08113 (2024) - [i32]Björn Michele, Alexandre Boulch, Tuan-Hung Vu, Gilles Puy, Renaud Marlet, Nicolas Courty:
Train Till You Drop: Towards Stable and Robust Source-free Unsupervised 3D Domain Adaptation. CoRR abs/2409.04409 (2024) - [i31]Yuan Yin, Pegah Khayatan, Éloi Zablocki, Alexandre Boulch, Matthieu Cord:
ReGentS: Real-World Safety-Critical Driving Scenario Generation Made Stable. CoRR abs/2409.07830 (2024) - [i30]Corentin Sautier, Gilles Puy, Alexandre Boulch, Renaud Marlet, Vincent Lepetit:
UNIT: Unsupervised Online Instance Segmentation through Time. CoRR abs/2409.07887 (2024) - 2023
- [j15]Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau:
Weakly supervised change detection using guided anisotropic diffusion. Mach. Learn. 112(6): 2211-2237 (2023) - [c35]Angelika Ando, Spyros Gidaris, Andrei Bursuc, Gilles Puy, Alexandre Boulch, Renaud Marlet:
RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving. CVPR 2023: 5240-5250 - [c34]Alexandre Boulch, Corentin Sautier, Björn Michele, Gilles Puy, Renaud Marlet:
ALSO: Automotive Lidar Self-Supervision by Occupancy Estimation. CVPR 2023: 13455-13465 - [c33]Gilles Puy, Alexandre Boulch, Renaud Marlet:
Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation. ICCV 2023: 3356-3366 - [i29]Gilles Puy, Alexandre Boulch, Renaud Marlet:
Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation. CoRR abs/2301.10100 (2023) - [i28]Angelika Ando, Spyros Gidaris, Andrei Bursuc, Gilles Puy, Alexandre Boulch, Renaud Marlet:
RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving. CoRR abs/2301.10222 (2023) - [i27]Björn Michele, Alexandre Boulch, Gilles Puy, Tuan-Hung Vu, Renaud Marlet, Nicolas Courty:
SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation. CoRR abs/2304.03251 (2023) - [i26]Corentin Sautier, Gilles Puy, Alexandre Boulch, Renaud Marlet, Vincent Lepetit:
BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds. CoRR abs/2310.17281 (2023) - [i25]Gilles Puy, Spyros Gidaris, Alexandre Boulch, Oriane Siméoni, Corentin Sautier, Patrick Pérez, Andrei Bursuc, Renaud Marlet:
Revisiting the Distillation of Image Representations into Point Clouds for Autonomous Driving. CoRR abs/2310.17504 (2023) - 2022
- [j14]Javiera Castillo-Navarro, Bertrand Le Saux, Alexandre Boulch, Nicolas Audebert, Sébastien Lefèvre:
Semi-supervised semantic segmentation in Earth Observation: the MiniFrance suite, dataset analysis and multi-task network study. Mach. Learn. 111(9): 3125-3160 (2022) - [j13]Javiera Castillo-Navarro, Bertrand Le Saux, Alexandre Boulch, Sébastien Lefèvre:
Energy-Based Models in Earth Observation: From Generation to Semisupervised Learning. IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022) - [c32]Alexandre Boulch, Renaud Marlet:
POCO: Point Convolution for Surface Reconstruction. CVPR 2022: 6292-6304 - [c31]Corentin Sautier, Gilles Puy, Spyros Gidaris, Alexandre Boulch, Andrei Bursuc, Renaud Marlet:
Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data. CVPR 2022: 9881-9891 - [c30]Raphael Sulzer, Loïc Landrieu, Alexandre Boulch, Renaud Marlet, Bruno Vallet:
Deep Surface Reconstruction from Point Clouds with Visibility Information. ICPR 2022: 2415-2422 - [c29]Pierre-Alain Langlois, Yang Xiao, Alexandre Boulch, Renaud Marlet:
VASAD: a Volume and Semantic dataset for Building Reconstruction from Point Clouds. ICPR 2022: 4008-4015 - [d3]Javiera Castillo-Navarro, Bertrand Le Saux, Alexandre Boulch, Nicolas Audebert, Sébastien Lefèvre:
MiniFrance. IEEE DataPort, 2022
- [d2]Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau:
HRSCD - High Resolution Semantic Change Detection Dataset. IEEE DataPort, 2022 - [i24]Alexandre Boulch, Renaud Marlet:
POCO: Point Convolution for Surface Reconstruction. CoRR abs/2201.01831 (2022) - [i23]Raphael Sulzer, Loïc Landrieu, Alexandre Boulch, Renaud Marlet, Bruno Vallet:
Deep Surface Reconstruction from Point Clouds with Visibility Information. CoRR abs/2202.01810 (2022) - [i22]Corentin Sautier, Gilles Puy, Spyros Gidaris, Alexandre Boulch, Andrei Bursuc, Renaud Marlet:
Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data. CoRR abs/2203.16258 (2022) - [i21]Wei-Hsin Tseng, Hoàng-Ân Lê, Alexandre Boulch, Sébastien Lefèvre, Dirk Tiede:
CroCo: Cross-Modal Contrastive learning for localization of Earth Observation data. CoRR abs/2204.07052 (2022) - [i20]Alexandre Boulch, Corentin Sautier, Björn Michele, Gilles Puy, Renaud Marlet:
ALSO: Automotive Lidar Self-supervision by Occupancy estimation. CoRR abs/2212.05867 (2022) - 2021
- [c28]Alexandre Boulch, Pierre-Alain Langlois, Gilles Puy, Renaud Marlet:
NeeDrop: Self-supervised Shape Representation from Sparse Point Clouds using Needle Dropping. 3DV 2021: 940-950 - [c27]Björn Michele, Alexandre Boulch, Gilles Puy, Maxime Bucher, Renaud Marlet:
Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds. 3DV 2021: 992-1002 - [c26]Anh-Quan Cao, Gilles Puy, Alexandre Boulch, Renaud Marlet:
PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds. ICCV 2021: 13209-13218 - [c25]Pierre-Alain Langlois, Matthew Fisher, Oliver Wang, Vladimir G. Kim, Alexandre Boulch, Renaud Marlet, Bryan C. Russell:
3D Reconstruction By Parameterized Surface Mapping. ICIP 2021: 3273-3277 - [c24]Javiera Castillo-Navarro, Bertrand Le Saux, Alexandre Boulch, Sébastien Lefèvre:
Classification and Generation of Earth Observation Images Using a Joint Energy-Based Model. IGARSS 2021: 2098-2101 - [i19]Björn Michele, Alexandre Boulch, Gilles Puy, Maxime Bucher, Renaud Marlet:
Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Cloud. CoRR abs/2108.06230 (2021) - [i18]Anh-Quan Cao, Gilles Puy, Alexandre Boulch, Renaud Marlet:
PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds. CoRR abs/2110.01269 (2021) - [i17]Alexandre Boulch, Pierre-Alain Langlois, Gilles Puy, Renaud Marlet:
NeeDrop: Self-supervised Shape Representation from Sparse Point Clouds using Needle Dropping. CoRR abs/2111.15207 (2021) - [i16]Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau:
Weakly Supervised Change Detection Using Guided Anisotropic Difusion. CoRR abs/2112.15367 (2021) - 2020
- [j12]Alexandre Boulch:
ConvPoint: Continuous convolutions for point cloud processing. Comput. Graph. 88: 24-34 (2020) - [c23]Alexandre Boulch, Gilles Puy, Renaud Marlet:
FKAConv: Feature-Kernel Alignment for Point Cloud Convolution. ACCV (1) 2020: 381-399 - [c22]Gilles Puy, Alexandre Boulch, Renaud Marlet:
FLOT: Scene Flow on Point Clouds Guided by Optimal Transport. ECCV (28) 2020: 527-544 - [c21]Pierre Godet, Alexandre Boulch, Aurélien Plyer, Guy Le Besnerais:
STaRFlow: A SpatioTemporal Recurrent Cell for Lightweight Multi-Frame Optical Flow Estimation. ICPR 2020: 2462-2469 - [c20]Javiera Castillo-Navarro, Bertrand Le Saux, Alexandre Boulch, Sébastien Lefèvre:
On Auxiliary Losses for Semi-Supervised Semantic Segmentation. MACLEAN@PKDD/ECML 2020 - [d1]Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau:
OSCD - Onera Satellite Change Detection. IEEE DataPort, 2020 - [i15]Alexandre Boulch, Gilles Puy, Renaud Marlet:
LightConvPoint: convolution for points. CoRR abs/2004.04462 (2020) - [i14]Pierre Godet, Alexandre Boulch, Aurélien Plyer, Guy Le Besnerais:
STaRFlow: A SpatioTemporal Recurrent Cell for Lightweight Multi-Frame Optical Flow Estimation. CoRR abs/2007.05481 (2020) - [i13]Gilles Puy, Alexandre Boulch, Renaud Marlet:
FLOT: Scene Flow on Point Clouds Guided by Optimal Transport. CoRR abs/2007.11142 (2020) - [i12]Javiera Castillo-Navarro, Bertrand Le Saux, Alexandre Boulch, Nicolas Audebert, Sébastien Lefèvre:
Semi-Supervised Semantic Segmentation in Earth Observation: The MiniFrance Suite, Dataset Analysis and Multi-task Network Study. CoRR abs/2010.07830 (2020)
2010 – 2019
- 2019
- [j11]Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau:
Multitask learning for large-scale semantic change detection. Comput. Vis. Image Underst. 187 (2019) - [j10]Nicolas Audebert, Alexandre Boulch, Bertrand Le Saux, Sébastien Lefèvre:
Distance transform regression for spatially-aware deep semantic segmentation. Comput. Vis. Image Underst. 189 (2019) - [j9]Guillaume Brigot, Marc Simard, Elise Colin Koeniguer, Alexandre Boulch:
Retrieval of Forest Vertical Structure from PolInSAR Data by Machine Learning Using LIDAR-Derived Features. Remote. Sens. 11(4): 381 (2019) - [c19]Maxime Ferrera, Alexandre Boulch, Julien Moras:
Fast Stereo Disparity Maps Refinement By Fusion of Data-Based And Model-Based Estimations. 3DV 2019: 9-17 - [c18]Pierre-Alain Langlois, Alexandre Boulch, Renaud Marlet:
Surface Reconstruction from 3D Line Segments. 3DV 2019: 553-563 - [c17]Alexandre Boulch:
Generalizing Discrete Convolutions for Unstructured Point Clouds. 3DOR@Eurographics 2019: 71-78 - [c16]Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau:
Guided Anisotropic Diffusion and Iterative Learning for Weakly Supervised Change Detection. CVPR Workshops 2019: 1461-1470 - [c15]Rodrigo Caye Daudt, Adrien Chan-Hon-Tong, Bertrand Le Saux, Alexandre Boulch:
Learning to Understand Earth Observation Images with Weak and Unreliable Ground Truth. IGARSS 2019: 5602-5605 - [c14]Javiera Castillo-Navarro, Nicolas Audebert, Alexandre Boulch, Bertrand Le Saux, Sébastien Lefèvre:
What Data are needed for Semantic Segmentation in Earth Observation? JURSE 2019: 1-4 - [i11]Alexandre Boulch:
Generalizing discrete convolutions for unstructured point clouds. CoRR abs/1904.02375 (2019) - [i10]Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau:
Guided Anisotropic Diffusion and Iterative Learning for Weakly Supervised Change Detection. CoRR abs/1904.08208 (2019) - [i9]Nicolas Audebert, Alexandre Boulch, Bertrand Le Saux, Sébastien Lefèvre:
Distance transform regression for spatially-aware deep semantic segmentation. CoRR abs/1909.01671 (2019) - [i8]Pierre-Alain Langlois, Alexandre Boulch, Renaud Marlet:
Surface Reconstruction from 3D Line Segments. CoRR abs/1911.00451 (2019) - [i7]Marcela Carvalho, Maxime Ferrera, Alexandre Boulch, Julien Moras, Bertrand Le Saux, Pauline Trouvé-Peloux:
Technical Report: Co-learning of geometry and semantics for online 3D mapping. CoRR abs/1911.01082 (2019) - 2018
- [j8]Alexandre Boulch, Joris Guerry, Bertrand Le Saux, Nicolas Audebert:
SnapNet: 3D point cloud semantic labeling with 2D deep segmentation networks. Comput. Graph. 71: 189-198 (2018) - [j7]Alexandre Boulch:
Reducing parameter number in residual networks by sharing weights. Pattern Recognit. Lett. 103: 53-59 (2018) - [c13]Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch:
Fully Convolutional Siamese Networks for Change Detection. ICIP 2018: 4063-4067 - [c12]Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau:
Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks. IGARSS 2018: 2115-2118 - [c11]Alexandre Boulch, Pauline Trouvé, Elise Colin Koeniguer, Fabrice Janez, Bertrand Le Saux:
Learning Speckle Suppression in Sar Images Without Ground Truth: Application to Sentinel-1 Time-Series. IGARSS 2018: 2366-2369 - [c10]Bertrand Le Saux, Anne Beaupère, Alexandre Boulch, Jérémie Brossard, Antoine Manier, Guilhem Villemin:
Railway Detection: From Filtering to Segmentation Networks. IGARSS 2018: 4819-4822 - [c9]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:
Large-Scale Semantic Classification: Outcome of the First Year of Inria Aerial Image Labeling Benchmark. IGARSS 2018: 6947-6950 - [i6]Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau:
High Resolution Semantic Change Detection. CoRR abs/1810.08452 (2018) - [i5]Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch:
Fully Convolutional Siamese Networks for Change Detection. CoRR abs/1810.08462 (2018) - [i4]Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau:
Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks. CoRR abs/1810.08468 (2018) - [i3]Alexandre Boulch, Noëlie Cherrier, Thibaut Castaings:
Ionospheric activity prediction using convolutional recurrent neural networks. CoRR abs/1810.13273 (2018) - 2017
- [c8]Alexandre Boulch, Bertrand Le Saux, Nicolas Audebert:
Unstructured Point Cloud Semantic Labeling Using Deep Segmentation Networks. 3DOR@Eurographics 2017 - [c7]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:
SHREC'17 Track: Point-Cloud Shape Retrieval of Non-Rigid Toys. 3DOR@Eurographics 2017 - [c6]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:
Deformable Shape Retrieval with Missing Parts. 3DOR@Eurographics 2017 - [c5]Joris Guerry, Alexandre Boulch, Bertrand Le Saux, Julien Moras, Aurélien Plyer, David Filliat:
SnapNet-R: Consistent 3D Multi-view Semantic Labeling for Robotics. ICCV Workshops 2017: 669-678 - [c4]Noëlie Cherrier, Thibaut Castaings, Alexandre Boulch:
Deep Sequence-to-Sequence Neural Networks for Ionospheric Activity Map Prediction. ICONIP (5) 2017: 545-555 - [c3]Nicolas Audebert, Alexandre Boulch, Hicham Randrianarivo, Bertrand Le Saux, Marin Ferecatu, Sébastien Lefèvre, Renaud Marlet:
Deep learning for urban remote sensing. JURSE 2017: 1-4 - [i2]Alexandre Boulch:
ShaResNet: reducing residual network parameter number by sharing weights. CoRR abs/1702.08782 (2017) - 2016
- [j6]Alexandre Boulch, Renaud Marlet:
Deep Learning for Robust Normal Estimation in Unstructured Point Clouds. Comput. Graph. Forum 35(5): 281-290 (2016) - [j5]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:
Processing of Extremely High-Resolution LiDAR and RGB Data: Outcome of the 2015 IEEE GRSS Data Fusion Contest-Part A: 2-D Contest. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(12): 5547-5559 (2016) - 2015
- [c2]Adrien Lagrange, Bertrand Le Saux, Anne Beaupère, Alexandre Boulch, Adrien Chan-Hon-Tong, Stéphane Herbin, Hicham Randrianarivo, Marin Ferecatu:
Benchmarking classification of earth-observation data: From learning explicit features to convolutional networks. IGARSS 2015: 4173-4176 - 2014
- [j4]Alexandre Boulch, Martin de La Gorce, Renaud Marlet:
Piecewise-Planar 3D Reconstruction with Edge and Corner Regularization. Comput. Graph. Forum 33(5): 55-64 (2014) - [c1]Alexandre Boulch, Renaud Marlet:
Statistical Criteria for Shape Fusion and Selection. ICPR 2014: 936-941 - 2013
- [j3]Alexandre Boulch, S. Houllier, Renaud Marlet, Olivier Tournaire:
Semantizing Complex 3D Scenes using Constrained Attribute Grammars. Comput. Graph. Forum 32(5): 33-42 (2013) - [j2]Alexandre Boulch, Éric Colin de Verdière, Atsuhiro Nakamoto:
Irreducible Triangulations of Surfaces with Boundary. Graphs Comb. 29(6): 1675-1688 (2013) - 2012
- [j1]Alexandre Boulch, Renaud Marlet:
Fast and Robust Normal Estimation for Point Clouds with Sharp Features. Comput. Graph. Forum 31(5): 1765-1774 (2012) - 2011
- [i1]Alexandre Boulch, Éric Colin de Verdière, Atsuhiro Nakamoto:
Irreducible triangulations of surfaces with boundary. CoRR abs/1103.5364 (2011)
Coauthor Index
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