Landrieu, Loic

22 publications

TMLR 2026 Adapting Vision Transformers to Ultra-High Resolution Semantic Segmentation with Relay Tokens Yohann Perron, Vladyslav Sydorov, Christophe Pottier, Loic Landrieu

CVPR 2025 AnySat: One Earth Observation Model for Many Resolutions, Scales, and Modalities Guillaume Astruc, Nicolas Gonthier, Clément Mallet, Loic Landrieu

CVPR 2025 Around the World in 80 Timesteps: A Generative Approach to Global Visual Geolocation Nicolas Dufour, Vicky Kalogeiton, David Picard, Loic Landrieu

CVPRW 2025 CoDEx: Combining Domain Expertise for Spatial Generalization in Satellite Image Analysis Abhishek Kuriyal, Elliot Vincent, Mathieu Aubry, Loïc Landrieu

CVPR 2025 Open-Canopy: Towards Very High Resolution Forest Monitoring Fajwel Fogel, Yohann Perron, Nikola Besic, Laurent Saint-André, Agnès Pellissier-Tanon, Martin Schwartz, Thomas Boudras, Ibrahim Fayad, Alexandre d'Aspremont, Loic Landrieu, Philippe Ciais

NeurIPS 2024 Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era Yohann Perron, Vladyslav Sydorov, Adam P. Wijker, Damian Evans, Christophe Pottier, Loic Landrieu

CVPR 2024 Learnable Earth Parser: Discovering 3D Prototypes in Aerial Scans Romain Loiseau, Elliot Vincent, Mathieu Aubry, Loic Landrieu

ECCV 2024 OmniSat: Self-Supervised Modality Fusion for Earth Observation Guillaume Astruc, Nicolas Gonthier, Clement Mallet, Loic Landrieu

CVPR 2024 OpenStreetView-5m: The Many Roads to Global Visual Geolocation 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, Loic Landrieu

CVPR 2024 StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translation Sidi Wu, Yizi Chen, Samuel Mermet, Lorenz Hurni, Konrad Schindler, Nicolas Gonthier, Loic Landrieu

ICCV 2023 Efficient 3D Semantic Segmentation with Superpoint Transformer Damien Robert, Hugo Raguet, Loic Landrieu

NeurIPS 2023 FLAIR : A Country-Scale Land Cover Semantic Segmentation Dataset from Multi-Source Optical Imagery Anatol Garioud, Nicolas Gonthier, Loic Landrieu, Apolline De Wit, Marion Valette, Marc Poupée, Sebastien Giordano, Boris Wattrelos

CVPR 2022 Learning Multi-View Aggregation in the Wild for Large-Scale 3D Semantic Segmentation Damien Robert, Bruno Vallet, Loic Landrieu

CVPRW 2022 Multi-Layer Modeling of Dense Vegetation from Aerial LiDAR Scans Ekaterina Kalinicheva, Loïc Landrieu, Clément Mallet, Nesrine Chehata

ECCV 2022 Online Segmentation of LiDAR Sequences: Dataset and Algorithm Romain Loiseau, Mathieu Aubry, Loïc Landrieu

ICCV 2021 Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks Vivien Sainte Fare Garnot, Loic Landrieu

CVPR 2020 Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention Vivien Sainte Fare Garnot, Loic Landrieu, Sebastien Giordano, Nesrine Chehata

CVPR 2019 Point Cloud Oversegmentation with Graph-Structured Deep Metric Learning Loic Landrieu, Mohamed Boussaha

ICML 2018 Cut-Pursuit Algorithm for Regularizing Nonsmooth Functionals with Graph Total Variation Hugo Raguet, Loic Landrieu

CVPR 2018 Large-Scale Point Cloud Semantic Segmentation with Superpoint Graphs Loic Landrieu, Martin Simonovsky

AISTATS 2016 Cut Pursuit: Fast Algorithms to Learn Piecewise Constant Functions Loïc Landrieu, Guillaume Obozinski

UAI 2014 Continuously Indexed Potts Models on Unoriented Graphs Loïc Landrieu, Guillaume Obozinski