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- Train Till You Drop: Towards Stable and Robust Source-free Unsupervised 3D Domain Adaptation
European Conference on Computer Vision (ECCV), 2024 - ReGentS: Real-World Safety-Critical Driving Scenario Generation Made Stable
ECCV Workshop on Multimodal Perception and Comprehension of Corner Cases in Autonomous Driving, 2024 - UNIT: Unsupervised Online Instance Segmentation through Time
Arxiv, 2024 - Three Pillars improving Vision Foundation Model Distillation for Lidar
Computer Vision and Pattern Recognition (CVPR), 2024 - Valeo4Cast: A Modular Approach to End-to-End Forecasting
CVPR Workshop on Autonomous Driving (WAD), 2024 - OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation Networks
CVPR Workshop on Autonomous Driving (WAD), 2024 - SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation
International Conference on 3D vision (3DV), 2024 - BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds
International Conference on 3D vision (3DV), 2024 - Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation
International Conference on Computer Vision (ICCV), 2023 - RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving
Computer Vision and Pattern Recognition (CVPR), 2023 - ALSO: Automotive Lidar Self-supervision by Occupancy estimation
Computer Vision and Pattern Recognition (CVPR), 2023 - Deep Surface Reconstruction from Point Clouds with Visibility Information
International Conference on Pattern Recognition (ICPR), 2022 - VASAD: a Volume and Semantic dataset for Building Reconstruction from Point Clouds
International Conference on Pattern Recognition (ICPR), 2022 - CroCo: Cross-Modal Contrastive learning for localization of Earth Observation data
International Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ISPRS Congress, 2022 - Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data
Computer Vision and Pattern Recognition (CVPR), 2022 - POCO: Point Convolution for Surface Reconstruction
Computer Vision and Pattern Recognition (CVPR), 2022 - NeeDrop: Unsupervised Shape Representation from Sparse Point Clouds using Needle Dropping
International Conference on 3D vision (3DV), 2021 - Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds
International Conference on 3D vision (3DV), 2021 - PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds
International Conference on Computer Vision (ICCV), 2021 - Weakly Supervised Change Detection Using Guided Anisotropic Diffusion
Machine Learning Journal, 2021 - 3D Reconstruction by Parameterized Surface Mapping
International Conference on Image Processing (ICIP), 2021 - Semi-Supervised Semantic Segmentation in Earth Observation: The MiniFrance Suite, Dataset Analysis and Multi-task Network Study
Machine Learning Journal, 2021 - FKAConv: Feature-Kernel Alignment for Point Cloud Convolution
15th Asian Conference on Computer Vision (ACCV 2020), 2020 - STaRFlow: A SpatioTemporal Recurrent Cell for Lightweight Multi-Frame Optical Flow Estimation
25th international conference on pattern recognition (ICPR 2020), 2020 - On Auxiliary Losses for Semi-Supervised Semantic Segmentation
ECML-PKDD Workshop – MACLEAN – Machine Learning for Earth Observation, 2020 - FLOT: Scene Flow on Point Clouds Guided by Optimal Transport
European Conference on Computer Vision (ECCV), 2020 - ConvPoint: Continuous Convolutions for Point Cloud Processing
Computers & Graphics
Eurographics Workshop 3D Object Retrieval (3DOR) 2019, 2020 - What data do we need for semantic segmentation in Earth-observation?
IEEE Joint Urban Remote Sensing Event (JURSE’2019), 2019 - Learning to Understand Earth Observation Images with Weak and Unreliable Ground Truth
International Geoscience and Remote Sensing Symposium, IGARSS, 2019 - Guided Anisotropic Diffusion and Iterative Learning for Weakly Supervised Change Detection
IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR) workshop EarthVision 19, 2019 - Distance transform regression for spatially-aware deep semantic segmentation
Computer Vision and Image Understanding (CVIU), 2019 - High Resolution Semantic Change Detection
Computer Vision and Image Understanding (CVIU), 2019 - Fast Stereo Disparity Maps Refinement By Fusion of Data-Based And Model-Based Estimations
International Conference on 3D vision (3DV 2019), 2019 - Surface Reconstruction from 3D Line Segments
International Conference on 3D vision (3DV 2019), 2019 - Segmentation semantique profonde par regression sur cartes de distances signees
Conference Reconnaissance des Formes, Images, Apprentissage et Perception, RFIAP, 2018 - Détection dense de changements par réseaux de neurones siamois
Conference Reconnaissance des Formes, Images, Apprentissage et Perception, RFIAP, 2018 - ShaResNet: reducing residual network parameter number by sharing weights
Pattern Recognition LettersP, 2018 - Learning speckle suppression in SAR images without ground truth: application to Sentinel-1 time-series
International Geoscience and Remote Sensing Symposium, IGARSS, 2018 - Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks
International Geoscience and Remote Sensing Symposium, IGARSS, 2018 - Fully Convolutional Siamese Networks for Change Detection
IEEE International Conference on Image Processing, 2018 - SnapNet: Unstructured point cloud semantic labeling using deep segmentation networks
Computer and Graphics
Eurographics Workshop 3D Object Retrieval 2017, 2018 - Ionospheric activity prediction using convolutional recurrent neural networks
Arxiv, 2018 - SHREC'17 Track: Point-Cloud Shape Retrieval of Non-Rigid Toys
10th Eurographics workshop on 3D Object retrieval, 3DOR conference, 2017 - SHREC’17: Deformable Shape Retrieval with Missing Parts
10th Eurographics workshop on 3D Object retrieval, 3DOR conference, 2017 - Deep Learning for Urban Remote Sensing
Joint Urban Remote Sensing Event, JURSE, 2017 - Deep sequence-to-sequence neural networks for ionospheric activity map prediction
ICONIP, 2017 - SnapNet-R: Consistent 3D Multi-View Semantic Labeling for Robotics
Workshop 3D Reconstruction Meets Semantics (3DRMS), ICCV, 2017 - Autoencodeurs pour la visualisation d'images hyperspectrales
XXVI colloque Gretsi, 2017 - Off the shelf deep learning pipeline for remote sensing applications
Big Data from Space (BIDS), ESA Workshop, 2017 - Forecasting ionospheric Total Electron Content maps with deep neural networks
Big Data from Space (BIDS), ESA Workshop, 2017 - Deep Learning for Remote Sensing
Onera-DLR Aerospace Symposium (ODAS), 2016 - Benchmarking classification of earth-observation data: from learning explicit features to convolutional networks
IEEE JSTARS
IGARSS 2015, 2016 - Deep Learning for Robust Normal Estimation in Unstructured Point Clouds
Computer Graphics Forum, Wiley
Symposium on Geometry Processing 201 (SGP 2016), 2016 - Un générateur de boites englobantes parcimonieux pour la détection d'objets dans des vidéos
XXV colloque Gretsi, 2015 - Statistical Criteria for Shape Fusion and Selection
International Conference on Pattern Recognition, ICPR, 2014 - Piecewise‐planar 3D reconstruction with edge and corner regularization
Computer Graphics Forum, Wiley
Symposium on Geometry Processing 2014 (SGP 2014), 2014 - Semantizing Complex 3D Scenes using Constrained Attribute Grammars
Computer Graphics Forum, Wiley
Symposium on Geometry Processing 2013 (SGP 2013), 2013 - Irreducible Triangulations of Surfaces with Boundary
Graphs and Combinatorics, Springer Verlag, 2012 - Fast Normal Estimation for Point Clouds with Sharp Features using a Robust Randomized Hough Transform
Computer Graphics Forum, Wiley
Symposium on Geometry Processing 2012 (SGP 2012) , 2012