Loïc Landrieu

79 papers A* 15A 3B 1C 3Journal 46Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adapting Vision Transformers to Ultra-High Resolution Semantic Segmentation with Relay Tokens. CoRR Yohann Perron, Vladyslav Sydorov, Christophe Pottier, Loïc Landrieu
2026	J	`jnl`	Adapting Vision Transformers to Ultra-High Resolution Semantic Segmentation with Relay Tokens. Trans. Mach. Learn. Res. Yohann Perron, Vladyslav Sydorov, Christophe Pottier, Loïc Landrieu
2025	J	`jnl`	A Survey and Benchmark of Automatic Surface Reconstruction From Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. Raphael Sulzer, Renaud Marlet, Bruno Vallet, Loïc Landrieu
2025	A*	`conf`	AnySat: One Earth Observation Model for Many Resolutions, Scales, and Modalities. CVPR Guillaume Astruc, Nicolas Gonthier, Clément Mallet, Loïc Landrieu
2025	A*	`conf`	Around the World in 80 Timesteps: A Generative Approach to Global Visual Geolocation. CVPR Nicolas Dufour, Vicky Kalogeiton, David Picard, Loïc Landrieu
2025	—	`conf`	CoDEx: Combining Domain Expertise for Spatial Generalization in Satellite Image Analysis. CVPR Workshops Abhishek Kuriyal, Elliot Vincent, Mathieu Aubry, Loïc Landrieu
2025	J	`jnl`	CoDEx: Combining Domain Expertise for Spatial Generalization in Satellite Image Analysis. CoRR Abhishek Kuriyal, Elliot Vincent, Mathieu Aubry, Loïc Landrieu
2025	J	`jnl`	EZ-SP: Fast and Lightweight Superpoint-Based 3D Segmentation. CoRR Louis Geist, Loïc Landrieu, Damien Robert
2025	J	`jnl`	FORMSpoT: A Decade of Tree-Level, Country-Scale Forest Monitoring. CoRR Martin Schwartz, Fajwel Fogel, Nikola Besic, Damien Robert, Louis Geist, Jean-Pierre Renaud, Jean-Matthieu Monnet, Clemens Mosig, Cédric Véga, Alexandre d'Aspremont, Loïc Landrieu, Philippe Ciais
2025	A*	`conf`	Open-Canopy: Towards Very High Resolution Forest Monitoring. CVPR Fajwel Fogel, Yohann Perron, Nikola Besic, Laurent Saint-André, Agnès Pellissier-Tanon, Martin Schwartz, Thomas Boudras, Ibrahim Fayad, Alexandre d'Aspremont, Loïc Landrieu, Philippe Ciais
2025	J	`jnl`	Order Matters: 3D Shape Generation from Sequential VR Sketches. CoRR Yizi Chen, Sidi Wu, Tianyi Xiao, Nina Wiedemann, Loïc Landrieu
2025	—	`conf`	Segmenting France Across Four Centuries. ICDAR (2) Marta López-Rauhut, Hongyu Zhou, Mathieu Aubry, Loïc Landrieu
2025	J	`jnl`	Segmenting France Across Four Centuries. CoRR Marta López-Rauhut, Hongyu Zhou, Mathieu Aubry, Loïc Landrieu
2024	J	`jnl`	AnySat: An Earth Observation Model for Any Resolutions, Scales, and Modalities. CoRR Guillaume Astruc, Nicolas Gonthier, Clément Mallet, Loïc Landrieu
2024	A*	`conf`	Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era. NeurIPS Yohann Perron, Vladyslav Sydorov, Adam P. Wijker, Damian Evans, Christophe Pottier, Loïc Landrieu
2024	J	`jnl`	Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era. CoRR Yohann Perron, Vladyslav Sydorov, Adam P. Wijker, Damian Evans, Christophe Pottier, Loïc Landrieu
2024	J	`jnl`	Around the World in 80 Timesteps: A Generative Approach to Global Visual Geolocation. CoRR Nicolas Dufour, David Picard, Vicky Kalogeiton, Loïc Landrieu
2024	A*	`conf`	Learnable Earth Parser: Discovering 3D Prototypes in Aerial Scans. CVPR Romain Loiseau, Elliot Vincent, Mathieu Aubry, Loïc Landrieu
2024	J	`jnl`	OmniSat: Self-Supervised Modality Fusion for Earth Observation. CoRR Guillaume Astruc, Nicolas Gonthier, Clément Mallet, Loïc Landrieu
2024	—	`conf`	OmniSat: Self-supervised Modality Fusion for Earth Observation. ECCV (28) Guillaume Astruc, Nicolas Gonthier, Clément Mallet, Loïc Landrieu
2024	J	`jnl`	Open-Canopy: A Country-Scale Benchmark for Canopy Height Estimation at Very High Resolution. CoRR Fajwel Fogel, Yohann Perron, Nikola Besic, Laurent Saint-André, Agnès Pellissier-Tanon, Martin Schwartz, Thomas Boudras, Ibrahim Fayad, Alexandre d'Aspremont, Loïc Landrieu, Philippe Ciais
2024	A*	`conf`	OpenStreetView-5M: The Many Roads to Global Visual Geolocation. CVPR Guillaume Astruc, Nicolas Dufour, Ioannis Siglidis, Constantin Aronssohn, Nacim Bouia, Stephanie Fu, Romain Loiseau, van Nguyen Nguyen, Charles Raude, Elliot Vincent, Lintao Xu, Hongyu Zhou, Loïc Landrieu
2024	J	`jnl`	OpenStreetView-5M: The Many Roads to Global Visual Geolocation. CoRR Guillaume Astruc, Nicolas Dufour, Ioannis Siglidis, Constantin Aronssohn, Nacim Bouia, Stephanie Fu, Romain Loiseau, van Nguyen Nguyen, Charles Raude, Elliot Vincent, Lintao Xu, Hongyu Zhou, Loïc Landrieu
2024	—	`conf`	Scalable 3D Panoptic Segmentation As Superpoint Graph Clustering. 3DV Damien Robert, Hugo Raguet, Loïc Landrieu
2024	J	`jnl`	Scalable 3D Panoptic Segmentation With Superpoint Graph Clustering. CoRR Damien Robert, Hugo Raguet, Loïc Landrieu
2024	A*	`conf`	StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translation. CVPR Sidi Wu, Yizi Chen, Samuel Mermet, Lorenz Hurni, Konrad Schindler, Nicolas Gonthier, Loïc Landrieu
2024	J	`jnl`	StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translation. CoRR Sidi Wu, Yizi Chen, Samuel Mermet, Lorenz Hurni, Konrad Schindler, Nicolas Gonthier, Loïc Landrieu
2023	J	`jnl`	A Survey and Benchmark of Automatic Surface Reconstruction from Point Clouds. CoRR Raphael Sulzer, Loïc Landrieu, Renaud Marlet, Bruno Vallet
2023	A*	`conf`	Efficient 3D Semantic Segmentation with Superpoint Transformer. ICCV Damien Robert, Hugo Raguet, Loïc Landrieu
2023	J	`jnl`	Efficient 3D Semantic Segmentation with Superpoint Transformer. CoRR Damien Robert, Hugo Raguet, Loïc Landrieu
2023	A*	`conf`	FLAIR : a Country-Scale Land Cover Semantic Segmentation Dataset From Multi-Source Optical Imagery. NeurIPS Anatol Garioud, Nicolas Gonthier, Loïc Landrieu, Apolline De Wit, Marion Valette, Marc Poupée, Sébastien Giordano, Boris Wattrelos
2023	J	`jnl`	FLAIR: a Country-Scale Land Cover Semantic Segmentation Dataset From Multi-Source Optical Imagery. CoRR Anatol Garioud, Nicolas Gonthier, Loïc Landrieu, Apolline De Wit, Marion Valette, Marc Poupée, Sébastien Giordano, Boris Wattrelos
2023	J	`jnl`	Learnable Earth Parser: Discovering 3D Prototypes in Aerial Scans. CoRR Romain Loiseau, Elliot Vincent, Mathieu Aubry, Loïc Landrieu
2023	—	`book`	Structured Learning of Geospatial Data. (Apprentissage Structuré de Données Géosaptiales). Loïc Landrieu
2022	—	`conf`	A Model You Can Hear: Audio Identification with Playable Prototypes. ISMIR Romain Loiseau, Baptiste Bouvier, Yann Teytaut, Elliot Vincent, Mathieu Aubry, Loïc Landrieu
2022	J	`jnl`	A Model You Can Hear: Audio Identification with Playable Prototypes. CoRR Romain Loiseau, Baptiste Bouvier, Yann Teytaut, Elliot Vincent, Mathieu Aubry, Loïc Landrieu
2022	B	`conf`	Deep Surface Reconstruction from Point Clouds with Visibility Information. ICPR Raphael Sulzer, Loïc Landrieu, Alexandre Boulch, Renaud Marlet, Bruno Vallet
2022	J	`jnl`	Deep Surface Reconstruction from Point Clouds with Visibility Information. CoRR Raphael Sulzer, Loïc Landrieu, Alexandre Boulch, Renaud Marlet, Bruno Vallet
2022	A*	`conf`	Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation. CVPR Damien Robert, Bruno Vallet, Loïc Landrieu
2022	J	`jnl`	Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation. CoRR Damien Robert, Bruno Vallet, Loïc Landrieu
2022	—	`conf`	Multi-Layer Modeling of Dense Vegetation from Aerial LiDAR Scans. CVPR Workshops Ekaterina Kalinicheva, Loïc Landrieu, Clément Mallet, Nesrine Chehata
2022	J	`jnl`	Multi-Layer Modeling of Dense Vegetation from Aerial LiDAR Scans. CoRR Ekaterina Kalinicheva, Loïc Landrieu, Clément Mallet, Nesrine Chehata
2022	—	`conf`	Online Segmentation of LiDAR Sequences: Dataset and Algorithm. ECCV (38) Romain Loiseau, Mathieu Aubry, Loïc Landrieu
2022	J	`jnl`	Online Segmentation of LiDAR Sequences: Dataset and Algorithm. CoRR Romain Loiseau, Mathieu Aubry, Loïc Landrieu
2022	J	`jnl`	Predicting Vegetation Stratum Occupancy from Airborne LiDAR Data with Deep Learning. Int. J. Appl. Earth Obs. Geoinformation Ekaterina Kalinicheva, Loïc Landrieu, Clément Mallet, Nesrine Chehata
2022	J	`jnl`	Predicting Vegetation Stratum Occupancy from Airborne LiDAR Data with Deep Learning. CoRR Ekaterina Kalinicheva, Loïc Landrieu, Clément Mallet, Nesrine Chehata
2021	J	`jnl`	Crop Rotation Modeling for Deep Learning-Based Parcel Classification from Satellite Time Series. CoRR Félix Quinton, Loïc Landrieu
2021	J	`jnl`	Crop Rotation Modeling for Deep Learning-Based Parcel Classification from Satellite Time Series. Remote. Sens. Félix Quinton, Loïc Landrieu
2021	A	`conf`	Leveraging Class Hierarchies with Metric-Guided Prototype Learning. BMVC Vivien Sainte Fare Garnot, Loïc Landrieu
2021	J	`jnl`	Multi-Modal Temporal Attention Models for Crop Mapping from Satellite Time Series. CoRR Vivien Sainte Fare Garnot, Loïc Landrieu, Nesrine Chehata
2021	A*	`conf`	Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks. ICCV Vivien Sainte Fare Garnot, Loïc Landrieu
2021	J	`jnl`	Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks. CoRR Vivien Sainte Fare Garnot, Loïc Landrieu
2021	—	`conf`	Representing Shape Collections With Alignment-Aware Linear Models. 3DV Romain Loiseau, Tom Monnier, Mathieu Aubry, Loïc Landrieu
2021	J	`jnl`	Representing Shape Collections with Alignment-Aware Linear Models. CoRR Romain Loiseau, Tom Monnier, Loïc Landrieu, Mathieu Aubry
2021	J	`jnl`	Scalable Surface Reconstruction with Delaunay-Graph Neural Networks. Comput. Graph. Forum Raphael Sulzer, Loïc Landrieu, Renaud Marlet, Bruno Vallet
2021	J	`jnl`	Scalable Surface Reconstruction with Delaunay-Graph Neural Networks. CoRR Raphael Sulzer, Loïc Landrieu, Renaud Marlet, Bruno Vallet
2021	J	`jnl`	Vegetation Stratum Occupancy Prediction from Airborne LiDAR 3D Point Clouds. CoRR Ekaterina Kalinicheva, Loïc Landrieu, Clément Mallet, Nesrine Chehata
2020	J	`jnl`	Lightweight Temporal Self-Attention for Classifying Satellite Image Time Series. CoRR Vivien Sainte Fare Garnot, Loïc Landrieu
2020	—	`conf`	Lightweight Temporal Self-attention for Classifying Satellite Images Time Series. AALTD@PKDD/ECML Vivien Sainte Fare Garnot, Loïc Landrieu
2020	J	`jnl`	Metric-Guided Prototype Learning. CoRR Vivien Sainte Fare Garnot, Loïc Landrieu
2020	A*	`conf`	Satellite Image Time Series Classification With Pixel-Set Encoders and Temporal Self-Attention. CVPR Vivien Sainte Fare Garnot, Loïc Landrieu, Sébastien Giordano, Nesrine Chehata
2020	—	`conf`	Torch-Points3D: A Modular Multi-Task Framework for Reproducible Deep Learning on 3D Point Clouds. 3DV Thomas Chaton, Nicolas Chaulet, Sofiane Horache, Loïc Landrieu
2020	J	`jnl`	Torch-Points3D: A Modular Multi-Task Frameworkfor Reproducible Deep Learning on 3D Point Clouds. CoRR Thomas Chaton, Nicolas Chaulet, Sofiane Horache, Loïc Landrieu
2019	J	`jnl`	Parallel Cut Pursuit For Minimization of the Graph Total Variation. CoRR Hugo Raguet, Loïc Landrieu
2019	A*	`conf`	Point Cloud Oversegmentation With Graph-Structured Deep Metric Learning. CVPR Loïc Landrieu, Mohamed Boussaha
2019	J	`jnl`	Point Cloud Oversegmentation with Graph-Structured Deep Metric Learning. CoRR Loïc Landrieu, Mohamed Boussaha
2019	J	`jnl`	Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention. CoRR Vivien Sainte Fare Garnot, Loïc Landrieu, Sébastien Giordano, Nesrine Chehata
2019	J	`jnl`	Supervized Segmentation with Graph-Structured Deep Metric Learning. CoRR Loïc Landrieu, Mohamed Boussaha
2019	C	`conf`	Time-Space Tradeoff in Deep Learning Models for Crop Classification on Satellite Multi-Spectral Image Time Series. IGARSS Vivien Sainte Fare Garnot, Loïc Landrieu, Sébastien Giordano, Nesrine Chehata
2019	J	`jnl`	Time-Space tradeoff in deep learning models for crop classification on satellite multi-spectral image time series. CoRR Vivien Sainte Fare Garnot, Loïc Landrieu, Sébastien Giordano, Nesrine Chehata
2018	C	`conf`	Crop-Rotation Structured Classification using Multi-Source Sentinel Images and LPIS for Crop Type Mapping. IGARSS Simon Bailly, Sébastien Giordano, Loïc Landrieu, Nesrine Chehata
2018	A*	`conf`	Cut-Pursuit Algorithm for Regularizing Nonsmooth Functionals with Graph Total Variation. ICML Hugo Raguet, Loïc Landrieu
2018	A*	`conf`	Large-Scale Point Cloud Semantic Segmentation With Superpoint Graphs. CVPR Loïc Landrieu, Martin Simonovsky
2017	C	`conf`	Comparison of belief propagation and graph-cut approaches for contextual classification of 3D lidar point cloud data. IGARSS Loïc Landrieu, Clément Mallet, Martin Weinmann
2017	J	`jnl`	Cut Pursuit: Fast Algorithms to Learn Piecewise Constant Functions on General Weighted Graphs. SIAM J. Imaging Sci. Loïc Landrieu, Guillaume Obozinski
2017	J	`jnl`	Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs. CoRR Loïc Landrieu, Martin Simonovsky
2016	A	`conf`	Cut Pursuit: Fast Algorithms to Learn Piecewise Constant Functions. AISTATS Loïc Landrieu, Guillaume Obozinski
2015	J	`jnl`	Preconditioning of a Generalized Forward-Backward Splitting and Application to Optimization on Graphs. SIAM J. Imaging Sci. Hugo Raguet, Loïc Landrieu
2014	A	`conf`	Continuously indexed Potts models on unoriented graphs. UAI Loïc Landrieu, Guillaume Obozinski