For more details
📝 Paper: bmva-archive.org.uk/bmvc/2025/a...
💻 Code: github.com/valeoai/muddos
This is a joint work with my great co-authors @alexandreboulch.bsky.social, @gillespuy.bsky.social, @tuanhungvu.bsky.social, Renaud Marlet, @ncourty.bsky.social and myself.
Need pixel-level features from your backbone (DINOv3, CLIP, RADIO, FRANCA...)?
🚀Introducing NAF: A universal, zero-shot feature upsampler.
It turns low-res ViT features into pixel-perfect maps.
-⚡ Model-agnostic
-🥇 SoTA results
-🚀 4× faster than SoTA
-📈 Scales up to 2K res
Pour les collègues francophones, vous saviez que le FID était tout cassé ? Moi non plus. Pourtant, si on s'y prend bien, on peut calculer le FID avec moins de 1000 images.
J'en parlerai au GRETSI fin août : hal.science/hal-05142942 👀
How to make your DINOv2 excel at dense in-context scene understanding tasks.
Check out DIP an effective post-training strategy by @ssirko.bsky.social @spyrosgidaris.bsky.social
@vobeckya.bsky.social @abursuc.bsky.social and Nicolas Thome 👇
#iccv2025
We just released the code of #LiDPM, go ahead and play with it (and don't forget to star 🤭🤩)!
Training and inference code available, along with the model checkpoint.
Github repo: github.com/astra-vision...
#IV2025
Presenting our project #LiDPM in the afternoon oral session at #IV2025!
Project page: astra-vision.github.io/LiDPM/
w/ @gillespuy.bsky.social, @alexandreboulch.bsky.social, Renaud Marlet, Raoul de Charette
Also, see our poster at 3pm in the Caravaggio room and AMA 😉
Okay that was stressful 🥲
🚀Thrilled to introduce JAFAR—a lightweight, flexible, plug-and-play module that upsamples features from any Foundation Vision Encoder to any desired output resolution (1/n)
Paper : arxiv.org/abs/2506.11136
Project Page: jafar-upsampler.github.io
Github: github.com/PaulCouairon...
🚗 Ever wondered if an AI model could learn to drive just by watching YouTube? 🎥👀
We trained a 1.2B parameter model on 1,800+ hours of raw driving videos.
No labels. No maps. Just pure observation.
And it works! 🤯
🧵👇 [1/10]
This amazing team ❤️
Check out our new work with @gastruc.bsky.social and @nicaogr.bsky.social and Clément Mallet! The one-stop shop for multimodal Earth Observation 🤩
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🧵👇
I could easily spend an afternoon looking at the results of this paper: motionmodes.github.io
or this paper: rollingdepth.github.io
or this paper: romosfm.github.io
vision is cool 😎
At INRIA Paris for @anhquancao.bsky.social for his PhD defense. Subject is Learning Semantics and Geometry for Scene Understanding.
anhquancao.github.io
