Loïc Landrieu

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 55

Top Topics

Learning Models

Top Venues

Publications

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
OpenStreetView-5M: The Many Roads to Global Visual Geolocation. CoRR (2024)
Damien Robert, Hugo Raguet, Loïc Landrieu
Scalable 3D Panoptic Segmentation With Superpoint Graph Clustering. CoRR (2024)
Guillaume Astruc, Nicolas Gonthier, Clément Mallet, Loïc Landrieu
OmniSat: Self-Supervised Modality Fusion for Earth Observation. CoRR (2024)
Sidi Wu, Yizi Chen, Samuel Mermet, Lorenz Hurni, Konrad Schindler, Nicolas Gonthier, Loïc Landrieu
StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translation. CoRR (2024)
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
Open-Canopy: A Country-Scale Benchmark for Canopy Height Estimation at Very High Resolution. CoRR (2024)
Damien Robert, Hugo Raguet, Loïc Landrieu
Scalable 3D Panoptic Segmentation As Superpoint Graph Clustering. 3DV (2024)
Raphael Sulzer, Loïc Landrieu, Renaud Marlet, Bruno Vallet
A Survey and Benchmark of Automatic Surface Reconstruction from Point Clouds. CoRR (2023)
Anatol Garioud, Nicolas Gonthier, Loïc Landrieu, Apolline De Wit, Marion Valette, Marc Poupée, Sébastien Giordano, Boris Wattrelos
FLAIR : a Country-Scale Land Cover Semantic Segmentation Dataset From Multi-Source Optical Imagery. NeurIPS (2023)
Damien Robert, Hugo Raguet, Loïc Landrieu
Efficient 3D Semantic Segmentation with Superpoint Transformer. ICCV (2023)
Romain Loiseau, Elliot Vincent, Mathieu Aubry, Loïc Landrieu
Learnable Earth Parser: Discovering 3D Prototypes in Aerial Scans. CoRR (2023)
Damien Robert, Hugo Raguet, Loïc Landrieu
Efficient 3D Semantic Segmentation with Superpoint Transformer. CoRR (2023)
Anatol Garioud, Nicolas Gonthier, Loïc Landrieu, Apolline De Wit, Marion Valette, Marc Poupée, Sébastien Giordano, Boris Wattrelos
FLAIR: a Country-Scale Land Cover Semantic Segmentation Dataset From Multi-Source Optical Imagery. CoRR (2023)
Raphael Sulzer, Loïc Landrieu, Alexandre Boulch, Renaud Marlet, Bruno Vallet
Deep Surface Reconstruction from Point Clouds with Visibility Information. ICPR (2022)
Ekaterina Kalinicheva, Loïc Landrieu, Clément Mallet, Nesrine Chehata
Predicting Vegetation Stratum Occupancy from Airborne LiDAR Data with Deep Learning. CoRR (2022)
Ekaterina Kalinicheva, Loïc Landrieu, Clément Mallet, Nesrine Chehata
Predicting Vegetation Stratum Occupancy from Airborne LiDAR Data with Deep Learning. Int. J. Appl. Earth Obs. Geoinformation 112 (2022)
Raphael Sulzer, Loïc Landrieu, Alexandre Boulch, Renaud Marlet, Bruno Vallet
Deep Surface Reconstruction from Point Clouds with Visibility Information. CoRR (2022)
Romain Loiseau, Mathieu Aubry, Loïc Landrieu
Online Segmentation of LiDAR Sequences: Dataset and Algorithm. CoRR (2022)
Ekaterina Kalinicheva, Loïc Landrieu, Clément Mallet, Nesrine Chehata
Multi-Layer Modeling of Dense Vegetation from Aerial LiDAR Scans. CoRR (2022)
Damien Robert, Bruno Vallet, Loïc Landrieu
Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation. CVPR (2022)
Romain Loiseau, Baptiste Bouvier, Yann Teytaut, Elliot Vincent, Mathieu Aubry, Loïc Landrieu
A Model You Can Hear: Audio Identification with Playable Prototypes. CoRR (2022)
Ekaterina Kalinicheva, Loïc Landrieu, Clément Mallet, Nesrine Chehata
Multi-Layer Modeling of Dense Vegetation from Aerial LiDAR Scans. CVPR Workshops (2022)
Romain Loiseau, Baptiste Bouvier, Yann Teytaut, Elliot Vincent, Mathieu Aubry, Loïc Landrieu
A Model You Can Hear: Audio Identification with Playable Prototypes. ISMIR (2022)
Damien Robert, Bruno Vallet, Loïc Landrieu
Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation. CoRR (2022)
Romain Loiseau, Mathieu Aubry, Loïc Landrieu
Online Segmentation of LiDAR Sequences: Dataset and Algorithm. ECCV (38) (2022)
Vivien Sainte Fare Garnot, Loïc Landrieu
Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks. ICCV (2021)
Romain Loiseau, Tom Monnier, Loïc Landrieu, Mathieu Aubry
Representing Shape Collections with Alignment-Aware Linear Models. CoRR (2021)
Romain Loiseau, Tom Monnier, Mathieu Aubry, Loïc Landrieu
Representing Shape Collections With Alignment-Aware Linear Models. 3DV (2021)
Vivien Sainte Fare Garnot, Loïc Landrieu
Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks. CoRR (2021)
Félix Quinton, Loïc Landrieu
Crop Rotation Modeling for Deep Learning-Based Parcel Classification from Satellite Time Series. Remote. Sens. 13 (22) (2021)
Raphael Sulzer, Loïc Landrieu, Renaud Marlet, Bruno Vallet
Scalable Surface Reconstruction with Delaunay-Graph Neural Networks. Comput. Graph. Forum 40 (5) (2021)
Félix Quinton, Loïc Landrieu
Crop Rotation Modeling for Deep Learning-Based Parcel Classification from Satellite Time Series. CoRR (2021)
Vivien Sainte Fare Garnot, Loïc Landrieu, Nesrine Chehata
Multi-Modal Temporal Attention Models for Crop Mapping from Satellite Time Series. CoRR (2021)
Vivien Sainte Fare Garnot, Loïc Landrieu
Leveraging Class Hierarchies with Metric-Guided Prototype Learning. BMVC (2021)
Raphael Sulzer, Loïc Landrieu, Renaud Marlet, Bruno Vallet
Scalable Surface Reconstruction with Delaunay-Graph Neural Networks. CoRR (2021)
Ekaterina Kalinicheva, Loïc Landrieu, Clément Mallet, Nesrine Chehata
Vegetation Stratum Occupancy Prediction from Airborne LiDAR 3D Point Clouds. CoRR (2021)
Vivien Sainte Fare Garnot, Loïc Landrieu
Lightweight Temporal Self-attention for Classifying Satellite Images Time Series. AALTD@PKDD/ECML (2020)
Thomas Chaton, Nicolas Chaulet, Sofiane Horache, Loïc Landrieu
Torch-Points3D: A Modular Multi-Task Frameworkfor Reproducible Deep Learning on 3D Point Clouds. CoRR (2020)
Thomas Chaton, Nicolas Chaulet, Sofiane Horache, Loïc Landrieu
Torch-Points3D: A Modular Multi-Task Framework for Reproducible Deep Learning on 3D Point Clouds. 3DV (2020)
Vivien Sainte Fare Garnot, Loïc Landrieu, Sébastien Giordano, Nesrine Chehata
Satellite Image Time Series Classification With Pixel-Set Encoders and Temporal Self-Attention. CVPR (2020)
Vivien Sainte Fare Garnot, Loïc Landrieu
Metric-Guided Prototype Learning. CoRR (2020)
Vivien Sainte Fare Garnot, Loïc Landrieu
Lightweight Temporal Self-Attention for Classifying Satellite Image Time Series. CoRR (2020)
Loïc Landrieu, Mohamed Boussaha
Point Cloud Oversegmentation With Graph-Structured Deep Metric Learning. CVPR (2019)
Vivien Sainte Fare Garnot, Loïc Landrieu, Sébastien Giordano, Nesrine Chehata
Time-Space tradeoff in deep learning models for crop classification on satellite multi-spectral image time series. CoRR (2019)
Loïc Landrieu, Mohamed Boussaha
Supervized Segmentation with Graph-Structured Deep Metric Learning. CoRR (2019)
Vivien Sainte Fare Garnot, Loïc Landrieu, Sébastien Giordano, Nesrine Chehata
Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention. CoRR (2019)
Vivien Sainte Fare Garnot, Loïc Landrieu, Sébastien Giordano, Nesrine Chehata
Time-Space Tradeoff in Deep Learning Models for Crop Classification on Satellite Multi-Spectral Image Time Series. IGARSS (2019)
Loïc Landrieu, Mohamed Boussaha
Point Cloud Oversegmentation with Graph-Structured Deep Metric Learning. CoRR (2019)
Hugo Raguet, Loïc Landrieu
Parallel Cut Pursuit For Minimization of the Graph Total Variation. CoRR (2019)
Simon Bailly, Sébastien Giordano, Loïc Landrieu, Nesrine Chehata
Crop-Rotation Structured Classification using Multi-Source Sentinel Images and LPIS for Crop Type Mapping. IGARSS (2018)
Hugo Raguet, Loïc Landrieu
Cut-Pursuit Algorithm for Regularizing Nonsmooth Functionals with Graph Total Variation. ICML (2018)
Loïc Landrieu, Martin Simonovsky
Large-Scale Point Cloud Semantic Segmentation With Superpoint Graphs. CVPR (2018)
Loïc Landrieu, Guillaume Obozinski
Cut Pursuit: Fast Algorithms to Learn Piecewise Constant Functions on General Weighted Graphs. SIAM J. Imaging Sci. 10 (4) (2017)
Loïc Landrieu, Clément Mallet, Martin Weinmann
Comparison of belief propagation and graph-cut approaches for contextual classification of 3D lidar point cloud data. IGARSS (2017)
Loïc Landrieu, Martin Simonovsky
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs. CoRR (2017)
Loïc Landrieu, Guillaume Obozinski
Cut Pursuit: Fast Algorithms to Learn Piecewise Constant Functions. AISTATS (2016)
Hugo Raguet, Loïc Landrieu
Preconditioning of a Generalized Forward-Backward Splitting and Application to Optimization on Graphs. SIAM J. Imaging Sci. 8 (4) (2015)
Loïc Landrieu, Guillaume Obozinski
Continuously indexed Potts models on unoriented graphs. UAI (2014)