Loic Landrieu
19 papers · 2016–2026 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (38) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Topic Evolution
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Renaissance Researcher
(5)
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Unstoppable · Bronze
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Prolific Year · Productive
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Century Club · Bronze
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Research topics
Computer Vision
(14)
Machine Learning
(10)
Analysis
(10)
Deep Learning
(9)
Domain-Specific
(8)
Learning Types · Deep Learning
(6)
Architectures
(4)
Core Methods
(4)
Learning Types · Machine Learning
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Models
(3)
Processing
(3)
Artificial Intelligence
(2)
Mathematics & Optimization
(2)
Application Areas
(2)
Core AI
(2)
Keywords
semantic segmentation
(6)
remote sensing
(5)
satellite imagery
(4)
point cloud
(4)
multimodal learning
(2)
diffusion model
(2)
3d semantic segmentation
(2)
earth observation
(2)
visual geolocation
(2)
domain adaptation
(1)
image fusion
(1)
large-scale optimization
(1)
metric learning
(1)
depth estimation
(1)
self-supervised learning
(1)
3d shape generation
(1)
domain generalization
(1)
image-to-image translation
(1)
deep learning
(1)
flow matching
(1)
Papers
Order Matters: 3D Shape Generation from Sequential VR Sketches
CVPR 2026
AnySat: One Earth Observation Model for Many Resolutions, Scales, and Modalities
CVPR 2025
Around the World in 80 Timesteps: A Generative Approach to Global Visual Geolocation
CVPR 2025
Open-Canopy: Towards Very High Resolution Forest Monitoring
CVPR 2025
Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era
NeurIPS 2024
Learnable Earth Parser: Discovering 3D Prototypes in Aerial Scans
CVPR 2024
OmniSat: Self-Supervised Modality Fusion for Earth Observation
ECCV 2024
OpenStreetView-5M: The Many Roads to Global Visual Geolocation
CVPR 2024
StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translation
CVPR 2024
Efficient 3D Semantic Segmentation with Superpoint Transformer
ICCV 2023
FLAIR : a Country-Scale Land Cover Semantic Segmentation Dataset From Multi-Source Optical Imagery
NeurIPS 2023
Learning Multi-View Aggregation in the Wild for Large-Scale 3D Semantic Segmentation
CVPR 2022
Online Segmentation of LiDAR Sequences: Dataset and Algorithm
ECCV 2022
Panoptic Segmentation of Satellite Image Time Series With Convolutional Temporal Attention Networks
ICCV 2021
Satellite Image Time Series Classification With Pixel-Set Encoders and Temporal Self-Attention
CVPR 2020
Point Cloud Oversegmentation With Graph-Structured Deep Metric Learning
CVPR 2019
Cut-Pursuit Algorithm for Regularizing Nonsmooth Functionals with Graph Total Variation
ICML 2018
Large-Scale Point Cloud Semantic Segmentation With Superpoint Graphs
CVPR 2018
Cut Pursuit: Fast Algorithms to Learn Piecewise Constant Functions
AISTATS 2016