| 2025 | CVPR | AnySat: One Earth Observation Model for Many Resolutions, Scales, and Modalities. | Guillaume Astruc, Nicolas Gonthier, Clment Mallet, Loc Landrieu |
| 2025 | CVPR | Around the World in 80 Timesteps: A Generative Approach to Global Visual Geolocation. | Nicolas Dufour, Vicky Kalogeiton, David Picard, Loc Landrieu |
| 2025 | CVPR | Open-Canopy: Towards Very High Resolution Forest Monitoring. | Fajwel Fogel, Yohann Perron, Nikola Besic, Laurent Saint-Andr, Agns Pellissier-Tanon, Martin Schwartz, Thomas Boudras, Ibrahim Fayad, Alexandre d'Aspremont, Loc Landrieu, Philippe Ciais |
| 2025 | CVPR | CoDEx: Combining Domain Expertise for Spatial Generalization in Satellite Image Analysis. | Abhishek Kuriyal, Elliot Vincent, Mathieu Aubry, Loc Landrieu |
| 2025 | ICDAR | Segmenting France Across Four Centuries. | Marta Lpez-Rauhut, Hongyu Zhou, Mathieu Aubry, Loc Landrieu |
| 2024 | CVPR | 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, Loc Landrieu |
| 2024 | CVPR | Learnable Earth Parser: Discovering 3D Prototypes in Aerial Scans. | Romain Loiseau, Elliot Vincent, Mathieu Aubry, Loc Landrieu |
| 2024 | CVPR | StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translation. | Sidi Wu, Yizi Chen, Samuel Mermet, Lorenz Hurni, Konrad Schindler, Nicolas Gonthier, Loc Landrieu |
| 2024 | ECCV | OmniSat: Self-supervised Modality Fusion for Earth Observation. | Guillaume Astruc, Nicolas Gonthier, Clment Mallet, Loc Landrieu |
| 2023 | ICCV | Efficient 3D Semantic Segmentation with Superpoint Transformer. | Damien Robert, Hugo Raguet, Loc Landrieu |
| 2022 | CVPR | Multi-Layer Modeling of Dense Vegetation from Aerial LiDAR Scans. | Ekaterina Kalinicheva, Loc Landrieu, Clment Mallet, Nesrine Chehata |
| 2022 | CVPR | Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation. | Damien Robert, Bruno Vallet, Loc Landrieu |
| 2022 | ECCV | Online Segmentation of LiDAR Sequences: Dataset and Algorithm. | Romain Loiseau, Mathieu Aubry, Loc Landrieu |
| 2022 | ICPR | Deep Surface Reconstruction from Point Clouds with Visibility Information. | Raphael Sulzer, Loc Landrieu, Alexandre Boulch, Renaud Marlet, Bruno Vallet |
| 2021 | BMVC | Leveraging Class Hierarchies with Metric-Guided Prototype Learning. | Vivien Sainte Fare Garnot, Loc Landrieu |
| 2021 | ICCV | Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks. | Vivien Sainte Fare Garnot, Loc Landrieu |
| 2020 | CVPR | Satellite Image Time Series Classification With Pixel-Set Encoders and Temporal Self-Attention. | Vivien Sainte Fare Garnot, Loc Landrieu, Sbastien Giordano, Nesrine Chehata |
| 2019 | CVPR | Point Cloud Oversegmentation With Graph-Structured Deep Metric Learning. | Loc Landrieu, Mohamed Boussaha |
| 2019 | IGARSS | Time-Space Tradeoff in Deep Learning Models for Crop Classification on Satellite Multi-Spectral Image Time Series. | Vivien Sainte Fare Garnot, Loc Landrieu, Sbastien Giordano, Nesrine Chehata |
| 2018 | CVPR | Large-Scale Point Cloud Semantic Segmentation With Superpoint Graphs. | Loc Landrieu, Martin Simonovsky |
| 2018 | ICML | Cut-Pursuit Algorithm for Regularizing Nonsmooth Functionals with Graph Total Variation. | Hugo Raguet, Loc Landrieu |
| 2018 | IGARSS | Crop-Rotation Structured Classification using Multi-Source Sentinel Images and LPIS for Crop Type Mapping. | Simon Bailly, Sbastien Giordano, Loc Landrieu, Nesrine Chehata |
| 2017 | IGARSS | Comparison of belief propagation and graph-cut approaches for contextual classification of 3D lidar point cloud data. | Loc Landrieu, Clment Mallet, Martin Weinmann |
| 2016 | AISTATS | Cut Pursuit: Fast Algorithms to Learn Piecewise Constant Functions. | Loc Landrieu, Guillaume Obozinski |
| 2014 | UAI | Continuously indexed Potts models on unoriented graphs. | Loc Landrieu, Guillaume Obozinski |