Sign in

Loïc Landrieu

@loicland.bsky.social
238 followers 164 following 10 posts

Senior researcher at IMAGINE (ENPC, LIGM). Machine learning & computer vision for 3D + geospatial + historical data. loiclandrieu.com

PostsRepliesMedia
Reposted by Loïc Landrieu
Nicolas Gonthier @nicaogr.bsky.social · 11/06/2025
📢 FLAIR-HUB dataset A new large-scale, multimodal dataset for land cover and crop type mapping 🤗 Dataset: huggingface.co/datasets/IGN... 📄 Preprint: arxiv.org/abs/2506.07080 🤗 Pretrained models: huggingface.co/collections/... 💻 Code: github.com/IGNF/FLAIR-HUB 🌐 Project : arxiv.org/abs/2506.07080
arxiv.org
FLAIR-HUB: Large-scale Multimodal Dataset for Land Cover and Crop Mapping
The growing availability of high-quality Earth Observation (EO) data enables accurate global land cover and crop type monitoring. However, the volume and heterogeneity of these datasets pose major pro...
1179
Reposted by Loïc Landrieu
Imagine-ENPC @imagineenpc.bsky.social · 30/04/2025
#CVPR2025 Sat June 14 (PM) 🌍 Around the World in 80 Timesteps: A Generative Approach to Global Visual Geolocation @nicolasdufour.bsky.social @vickykalogeiton.bsky.social @davidpicard.bsky.social @loicland.bsky.social 📄 pdf: arxiv.org/abs/2412.06781 🌐 webpage: nicolas-dufour.github.io/plonk.html
1175
Loïc Landrieu @loicland.bsky.social · 30/04/2025
AnySat has been accepted as a ✨ highlight at #CVPR2025! See you in Nashville 🎉 We’ll also be presenting this work at: 📍 @egu.eu on 02/04 in Vienna 📍 @esa.int / NASA Workshop on Foundation Models on 05/04 in Rome
0132
Reposted by Loïc Landrieu
Imagine-ENPC @imagineenpc.bsky.social · 24/04/2025
We're hiring! IMAGINE @ École des Ponts (Paris area) is opening a 4-year "CV for X" researcher position: – competitive salary – no teaching load – starting pkg ≈ 2 PhDs – goal: impactful core AI + X (climate, biodiversity, robotics...) Apply by May 31: imagine-lab.enpc.fr/wp-content/u...
14518
Reposted by Loïc Landrieu
Nicolas Audebert @nshaud.bsky.social · 27/03/2025
🚨 Workshop alert! 🌍💿 TerraBytes: Towards global datasets and models for Earth Observation Co-located with ICML 2025 (Vancouver, Canada) 🔗 terrabytes-workshop.github.io 📝 We accept short 4-pages and full 8-pages paper on remote sensing, Earth Observation and machine learning. 📆 Deadline: May 16th
0229
Loïc Landrieu @loicland.bsky.social · 21/03/2025
Fantastic idea from @davidpicard.bsky.social. All are welcome, even if you don't have a CVPR paper!
0203
Reposted by Loïc Landrieu
David Picard @davidpicard.eurosky.social · 12/02/2025
🚨 Future open positions in AI at my home institution* targeted towards young researchers. These are tenure track positions with a good starting package, aimed at guiding you towards an ERC StG within 4 years. Feel free to contact me in DM. *ENPC, part of Institut Polytechnique de Paris
02410
Loïc Landrieu @loicland.bsky.social · 13/01/2025
Our CVPR Workshop EarthVision, bridging computer vision and Earth observation, was accepted at #CVPR2025 for its 8th edition! Submit your papers by March 3 and stay tuned for more info : grss-ieee.org/events/earth...
0288
Loïc Landrieu @loicland.bsky.social · 19/12/2024
Check out our new work with @gastruc.bsky.social and @nicaogr.bsky.social and Clément Mallet! The one-stop shop for multimodal Earth Observation 🤩
0123
Loïc Landrieu @loicland.bsky.social · 10/12/2024
Amazing work again by @nicolasdufour.bsky.social, check out the demo with any picture and see if our model can guess its location! 🔗 huggingface.co/spaces/nicol...
051
Loïc Landrieu @loicland.bsky.social · 09/12/2024
Airborne #LiDAR has revolutionized the study of ancient rainforest civilizations by seeing through dense canopies. Yet archaeologists still annotate their data manually. Introducing Archaeoscape at #NeurIPS2024 —the first deep learning-scale, open-access archaeological dataset🧵👇
1278
Reposted by Loïc Landrieu
Mathurin Massias @mathurinmassias.bsky.social · 27/11/2024
Anne Gagneux, Ségolène Martin, @quentinbertrand.bsky.social Remi Emonet and I wrote a tutorial blog post on flow matching: dl.heeere.com/conditional-... with lots of illustrations and intuition! We got this idea after their cool work on improving Plug and Play with FM: arxiv.org/abs/2410.02423
1235299