Loic Landrieu
18 papers · 2016–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (9) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (6) π Cross-Pollinator (5)
π
Academic Marathon
(9)
π§
Keyword Pioneer
π
Cross-Pollinator
(5)
π§¬
Topic Evolution
π₯
Unstoppable
(8)
π
Century Club
(18)
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(86)
Conferences
CVPR (10)
ECCV (2)
ICCV (2)
NIPS (2)
AISTATS (1)
ICML (1)
Top co-authors
Keywords
semantic segmentation
(6)
remote sensing
(5)
point cloud
(4)
satellite imagery
(4)
visual geolocation
(2)
earth observation
(2)
3d semantic segmentation
(2)
change detection
(1)
domain adaptation
(1)
metric learning
(1)
multimodal learning
(1)
depth estimation
(1)
multi-modal learning
(1)
instance segmentation
(1)
image fusion
(1)
large-scale optimization
(1)
deep learning
(1)
image-to-image translation
(1)
efficient computing
(1)
self-supervised learning
(1)
Papers
Open-Canopy: Towards Very High Resolution Forest Monitoring
CVPR 2025
Around the World in 80 Timesteps: A Generative Approach to Global Visual Geolocation
CVPR 2025
AnySat: One Earth Observation Model for Many Resolutions, Scales, and Modalities
CVPR 2025
Learnable Earth Parser: Discovering 3D Prototypes in Aerial Scans
CVPR 2024
StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translation
CVPR 2024
OpenStreetView-5M: The Many Roads to Global Visual Geolocation
CVPR 2024
Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era
NIPS 2024
OmniSat: Self-Supervised Modality Fusion for Earth Observation
ECCV 2024
FLAIR : a Country-Scale Land Cover Semantic Segmentation Dataset From Multi-Source Optical Imagery
NIPS 2023
Efficient 3D Semantic Segmentation with Superpoint Transformer
ICCV 2023
Online Segmentation of LiDAR Sequences: Dataset and Algorithm
ECCV 2022
Learning Multi-View Aggregation in the Wild for Large-Scale 3D Semantic Segmentation
CVPR 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
Large-Scale Point Cloud Semantic Segmentation With Superpoint Graphs
CVPR 2018
Cut-Pursuit Algorithm for Regularizing Nonsmooth Functionals with Graph Total Variation
ICML 2018
Cut Pursuit: Fast Algorithms to Learn Piecewise Constant Functions
AISTATS 2016