iiinova — where your digital self keeps evolving

Reposted by Raphael Baena

Sonat Baltacı @sonatbaltaci.bsky.social · 24/06/2026

Happy to share that our work “Text Region Detection in Historical Astronomical Diagrams” is accepted to #ICDAR2026! 🎉 An open-access dataset of 948 historical astronomical diagrams spanning 10 centuries and 7 linguistic traditions to tackle text detection in complex and diverse settings. 🌌 1/4

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Raphael Baena @raphaelbaena.bsky.social · 10/06/2026

By unifying detection and reconstruction, our approach predicts accurate bounding boxes to deforms these learned prototypes. This unlocks objective metrics (like aspect ratios, bi-gram distances) without any manual segmentation! 📐 w/ M. Vlachou , /D. Stuzmann /M. Aubry

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Raphael Baena @raphaelbaena.bsky.social · 10/06/2026

Very excited to share our new paper, accepted at ICDAR 2026: "Leveraging Morphology for Historical Script Metrological Analysis"! 📜We present a method to automatically extract high-quality character prototypes and compute stable paleographic measurements: malamatenia.github.io/morphology4m...

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Reposted by Raphael Baena

Antoine Guédon @antoine-guedon.bsky.social · 08/09/2025

1/n🚀Gaussians > Differentiable function > Mesh? Check out our new work: MILo: Mesh-In-the-Loop Gaussian Splatting! 🎉Accepted to SIGGRAPH Asia 2025 (TOG) MILo is a novel differentiable framework that extracts meshes directly from Gaussian parameters during training. 🧵👇

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Reposted by Raphael Baena

David Picard @davidpicard.eurosky.social · 27/06/2025

I wrote a notebook for a lecture/exercice on image generation with flow matching. The idea is to use FM to render images composed of simple shapes using their attributes (type, size, color, etc). Not super useful but fun and easy to train! colab.research.google.com/drive/16GJyb... Comments welcome!

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Reposted by Raphael Baena

David Picard @davidpicard.eurosky.social · 21/03/2025

🔥🔥🔥 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!

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Reposted by Raphael Baena

Imagine-ENPC @imagineenpc.bsky.social · 14/03/2025

Starter pack including some of the lab members: go.bsky.app/QK8j87w

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Reposted by Raphael Baena

arxiv cs.CV @arxiv-cs-cv.bsky.social · 19/12/2024

Guillaume Astruc, Nicolas Gonthier, Clement Mallet, Loic Landrieu AnySat: An Earth Observation Model for Any Resolutions, Scales, and Modalities arxiv.org/abs/2412.14123

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Reposted by Raphael Baena

David Picard @davidpicard.eurosky.social · 20/11/2024

🍏 New preprint alert! 🍏 PoM: Efficient Image and Video Generation with the Polynomial Mixer arxiv.org/abs/2411.12663 This is my latest "summer project" and it was so big I had to call in reinforcements (Thanks @nicolasdufour.bsky.social) TL;DR Transformers are for boomers, welcome to the future 🧵👇

arxiv.org

PoM: Efficient Image and Video Generation with the Polynomial Mixer

Diffusion models based on Multi-Head Attention (MHA) have become ubiquitous to generate high quality images and videos. However, encoding an image or a video as a sequence of patches results in costly...

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Reposted by Raphael Baena

David Picard @davidpicard.eurosky.social · 19/11/2024

I'm slowly putting my intro to ML course material on github, starting with the lab sessions: github.com/davidpicard/... These are self-contained notebooks in which you have to implement famous algorithms from the literature (k-NN, SVM, DT, etc), with a custom dataset that I (painstakingly) made!

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