Loïc Landrieu | Lightnews

Nicolas Gonthier @nicaogr.bsky.social · Jun 11

📢 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

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...

arxiv.org

Loïc Landrieu @loicland.bsky.social · Apr 30

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

Imagine-ENPC @imagineenpc.bsky.social · Apr 30

#CVPR2025 Sat June 14 (PM) ✨ Highlight
🛰️ AnySat: One Earth Observation Model for Many Resolutions, Scales, and Modalities
@gastruc.bsky.social @nicaogr.bsky.social @loicland.bsky.social
📄 pdf: arxiv.org/abs/2412.14123
🌐 webpage: gastruc.github.io/anysat

Imagine-ENPC @imagineenpc.bsky.social · Apr 30

#CVPR2025 Sat June 14 (PM) ✨ Highlight
🛰️ AnySat: One Earth Observation Model for Many Resolutions, Scales, and Modalities
@gastruc.bsky.social @nicaogr.bsky.social @loicland.bsky.social
📄 pdf: arxiv.org/abs/2412.14123
🌐 webpage: gastruc.github.io/anysat

Imagine-ENPC @imagineenpc.bsky.social · Apr 30

#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

Imagine-ENPC @imagineenpc.bsky.social · Apr 24

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...

Nicolas Audebert @nshaud.bsky.social · Mar 27

🚨 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

Loïc Landrieu @loicland.bsky.social · Mar 21

Fantastic idea from @davidpicard.bsky.social. All are welcome, even if you don't have a CVPR paper!

David Picard @davidpicard.bsky.social · Mar 21

🔥🔥🔥 CV Folks, I have some news! We're organizing a 1-day meeting in center Paris on June 6th before CVPR called CVPR@Paris (similar as NeurIPS@Paris) 🥐🍾🥖🍷

Registration is open (it's free) with priority given to authors of accepted papers: cvprinparis.github.io/CVPR2025InPa...

Big 🧵👇 with details!

David Picard @davidpicard.bsky.social · Mar 21

🔥🔥🔥 CV Folks, I have some news! We're organizing a 1-day meeting in center Paris on June 6th before CVPR called CVPR@Paris (similar as NeurIPS@Paris) 🥐🍾🥖🍷

Registration is open (it's free) with priority given to authors of accepted papers: cvprinparis.github.io/CVPR2025InPa...

Big 🧵👇 with details!

David Picard @davidpicard.bsky.social · Feb 12

🚨 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

Loïc Landrieu @loicland.bsky.social · Jan 13

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...

Loïc Landrieu @loicland.bsky.social · Dec 19

Check out our new work with @gastruc.bsky.social and @nicaogr.bsky.social and Clément Mallet! The one-stop shop for multimodal Earth Observation 🤩

Guillaume Astruc @gastruc.bsky.social · Dec 19

🤔 What if embedding multimodal EO data was as easy as using a ResNet on images?
Introducing AnySat: one model for any resolution (0.2m–250m), scale (0.3–2600 hectares), and modalities (choose from 11 sensors & time series)!
Try it with just a few lines of code:

Guillaume Astruc @gastruc.bsky.social · Dec 19

🤔 What if embedding multimodal EO data was as easy as using a ResNet on images?
Introducing AnySat: one model for any resolution (0.2m–250m), scale (0.3–2600 hectares), and modalities (choose from 11 sensors & time series)!
Try it with just a few lines of code:

Loïc Landrieu @loicland.bsky.social · Dec 12

Very fine-grained geolocation may be better viewed a retrieval problem. We want to learn generalizable geographic features from images. In osv5m.github.io we added a 1km buffer between train and test to penalize overfitting. The train and test cars are also different to discourage "meta" learning.

OSV-5M

osv5m.github.io

Loïc Landrieu @loicland.bsky.social · Dec 10

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...

Nicolas Dufour @nicolasdufour.bsky.social · Dec 10

🌍 Guessing where an image was taken is a hard, and often ambiguous problem. Introducing diffusion-based geolocation—we predict global locations by refining random guesses into trajectories across the Earth's surface!

🗺️ Paper, code, and demo: nicolas-dufour.github.io/plonk

Nicolas Dufour @nicolasdufour.bsky.social · Dec 10

🌍 Guessing where an image was taken is a hard, and often ambiguous problem. Introducing diffusion-based geolocation—we predict global locations by refining random guesses into trajectories across the Earth's surface!

🗺️ Paper, code, and demo: nicolas-dufour.github.io/plonk

Loïc Landrieu @loicland.bsky.social · Dec 9

Catch us at #NeurIPS2024 Dataset and Benchmarks! 🎉
🖼️ Poster: 5302 | 12/12 | 11 AM
📜 Paper: openreview.net/pdf?id=QpF3D...
🌐 Web & Data: archaeoscape.ai/data/2024
🤝 Joint Work: ENPC + French School of Asian Studies (#EFEO)

Loïc Landrieu @loicland.bsky.social · Dec 9

Archaeoscape has 2× the area and 3× the labels of comparable archaeological datasets, and is fully open-access! We performed an extensive benchmark of modern CV models and showed that segmenting archaeological traces is a surprisingly tough challenge—even for foundation models.

Loïc Landrieu @loicland.bsky.social · Dec 9

Khmer vestiges go far beyond monumental stone temples. Wooden and earthen structures faded centuries ago but left subtle geometric elevation patterns in the landscape. Can you spot these hidden structures on the LiDAR elevation maps? 🔍

Loïc Landrieu @loicland.bsky.social · Dec 9

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🧵👇

Mathurin Massias @mathurinmassias.bsky.social · Nov 27

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

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