iiinova — where your digital self keeps evolving

Reposted by Gilles Puy

Björn Michele @bjoernmichele.bsky.social · 24/11/2025

🚗🌐 Working on domain adaptation for 3D point clouds / LiDAR? We'll present MuDDoS at BMVC: a method that boosts multimodal distillation for 3D semantic segmentation under domain shift. 📍 BMVC 🕚 Monday, Poster Session 1: Multimodal Learning (11:00–12:30) 📌 Hadfield Hall #859

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Reposted by Gilles Puy

valeo.ai @valeoai.bsky.social · 07/10/2025

The PhD graduation season in the team goes on! Today, Corentin Sautier is defending his PhD on "Learning Actionable LiDAR Representations without Annotations". Good luck! 🚀

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Reposted by Gilles Puy

valeo.ai @valeoai.bsky.social · 06/10/2025

It’s PhD graduation season in the team! Today, @bjoernmichele.bsky.social is defending his PhD on "Domain Adaptation for 3D Data" Best of luck! 🚀

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Gilles Puy @gillespuy.bsky.social · 24/09/2025

Update: ResearchGate has investigated the case, and, as far as I can see, all the suspicious papers (~200) have now been removed. Many thanks to the @researchgate.bsky.social team!

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Reposted by Gilles Puy

David Picard @davidpicard.eurosky.social · 16/09/2025

If you're interested in human pose estimation and mesh recovery from LiDAR data, we have this massive survey: arxiv.org/abs/2509.12197 Salma and Nermin put a tremendous amount of work in it, there's everything: the tasks, all the methods organized, datasets, numbers, challenges and opportunities.

arxiv.org

3D Human Pose and Shape Estimation from LiDAR Point Clouds: A Review

In this paper, we present a comprehensive review of 3D human pose estimation and human mesh recovery from in-the-wild LiDAR point clouds. We compare existing approaches across several key dimensions, ...

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Gilles Puy @gillespuy.bsky.social · 16/09/2025

Discovered that our RangeViT paper keeps being cited in what might be LLM-generated papers. Number of citations increased rapidly in the last weeks. Too good to be true. Papers popped up on different platforms, but mainly on ResearchGate with ~80 papers in just 3 weeks. [1/]

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Andrei Bursuc @abursuc.bsky.social · 21/07/2025

1/ Can open-data models beat DINOv2? Today we release Franca, a fully open-sourced vision foundation model. Franca with ViT-G backbone matches (and often beats) proprietary models like SigLIPv2, CLIP, DINOv2 on various benchmarks setting a new standard for open-source research.

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Reposted by Gilles Puy

Sophia Sirko-Galouchenko 🇺🇦 @ssirko.bsky.social · 25/06/2025

1/n 🚀New paper out - accepted at #ICCV2025! Introducing DIP: unsupervised post-training that enhances dense features in pretrained ViTs for dense in-context scene understanding Below: Low-shot in-context semantic segmentation examples. DIP features outperform DINOv2!

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Reposted by Gilles Puy

Tetiana Martyniuk🇺🇦@ ICIP’26🇫🇮 @t-martyniuk.bsky.social · 23/06/2025

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 😉

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

🚨 New preprint! How far can we go with ImageNet for Text-to-Image generation? w. @arrijitghosh.bsky.social @lucasdegeorge.bsky.social @nicolasdufour.bsky.social @vickykalogeiton.bsky.social TL;DR: Train a text-to-image model using 1000 less data in 200 GPU hrs! 📜https://arxiv.org/abs/2502.21318 🧵👇

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Reposted by Gilles Puy

David Picard @davidpicard.eurosky.social · 12/12/2024

We @imagineenpc.bsky.social are slowly but surely entering our proposals for master's degree internships here: docs.google.com/document/d/1... These are 6 months projects that typically correspond to the end-of-study project in the French curriculum. Probably more offers to come, check it regularly.

docs.google.com

2025 IMAGINE Internships

2025 Internship proposals at IMAGINE IMAGINE is a top research group on computer vision and machine learning. It is part of the LIGM lab and hosted at École des Ponts ParisTech (ENPC), about 25 min f...

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