Loïc Landrieu
@loicland.bsky.social
Senior researcher at IMAGINE (ENPC, LIGM).
Machine learning & computer vision for 3D + geospatial + historical data.
loiclandrieu.com
Machine learning & computer vision for 3D + geospatial + historical data.
loiclandrieu.com
Reposted by Loïc Landrieu
📢 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
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
June 11, 2025 at 2:00 PM
📢 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
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
Reposted by Loïc Landrieu
#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
🌍 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
April 30, 2025 at 1:04 PM
#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
🌍 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
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
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
#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
🛰️ 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
April 30, 2025 at 1:49 PM
Reposted by Loïc Landrieu
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...
– 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...
April 24, 2025 at 3:02 PM
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...
– 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...
Reposted by Loïc Landrieu
🚨 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
🌍💿 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
March 27, 2025 at 1:50 PM
🚨 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
🌍💿 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
Fantastic idea from @davidpicard.bsky.social. All are welcome, even if you don't have a CVPR paper!
🔥🔥🔥 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!
Registration is open (it's free) with priority given to authors of accepted papers: cvprinparis.github.io/CVPR2025InPa...
Big 🧵👇 with details!
March 21, 2025 at 1:00 PM
Fantastic idea from @davidpicard.bsky.social. All are welcome, even if you don't have a CVPR paper!
Reposted by Loïc Landrieu
🚨 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
Feel free to contact me in DM.
*ENPC, part of Institut Polytechnique de Paris
February 12, 2025 at 8:04 AM
🚨 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
Feel free to contact me in DM.
*ENPC, part of Institut Polytechnique de Paris
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...
January 13, 2025 at 4:24 PM
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...
Check out our new work with @gastruc.bsky.social and @nicaogr.bsky.social and Clément Mallet! The one-stop shop for multimodal Earth Observation 🤩
🤔 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:
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:
December 19, 2024 at 10:52 AM
Check out our new work with @gastruc.bsky.social and @nicaogr.bsky.social and Clément Mallet! The one-stop shop for multimodal Earth Observation 🤩
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...
🔗 huggingface.co/spaces/nicol...
🌍 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
🗺️ Paper, code, and demo: nicolas-dufour.github.io/plonk
December 10, 2024 at 4:57 PM
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...
🔗 huggingface.co/spaces/nicol...
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🧵👇
December 9, 2024 at 9:55 AM
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🧵👇
Reposted by Loïc Landrieu
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
We got this idea after their cool work on improving Plug and Play with FM: arxiv.org/abs/2410.02423
November 27, 2024 at 9:00 AM
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
We got this idea after their cool work on improving Plug and Play with FM: arxiv.org/abs/2410.02423