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The CV community over there is really taking shape. Very exciting! 🥳

So what is the nettiquette with cross-posting? Can I take a screen shot of a conversation with contacts on one platform and post it on the other one, or would that be a breach of trust? Assuming no malicious intent or sarcasm or something of that sort, of course.

BlueSky just passed 20 million users. 🦋

This account was the most important one, now the other site is truly complete.

Editing a video with iMovie is like riding a tricycle: do it at the first try, no need for explanations. Switching to Final Cut Pro is like landing an F-14 on an aircraft carrier, at night, without a pilot's license. With the ILS broken and the afterburner stuck on "On".

Twitter web (Top), vs. Twitter Android (bottom).

The ICCV 2025 deadline has been added. Information taken from the openreview account, might not be final. Thanks to Weinzaepfel Philippe for having stumbled on it.

There are 20 more characters per .... tweet ... on the other side 😃

There are now several benchmarks testing spatial reasoning and agent capabilities of LLMs and VLMs: - arxiv.org/abs/2410.06468 (does spatial cognition ...) - arxiv.org/abs/2307.06281 (MMBench) - arxiv.org/abs/2411.13543 (BALROG) - additional points for the LOTR ref.

I didn't post on Twitter for 2 months, but I will make an exception for this.

Our e2d trained navigation agent has been accepted to #CVPR2025: fast-moving, efficient: correct modelling of motion during training in simulation. arxiv.org/abs/2503.08306 By S Janny, H Poirier, L Antsfeld, G Bono, G Monaci, B Chidlovskii, F Giuliari, A Del Bue and myself.

Interactive website: europe.naverlabs.com/research/publi… Large-scale study w 262 real episodes finds evidence for presence of realistic dynamics used for open-loop forecasting, interplay with sensing; usage of latent memory (emerging maps); value relates to long-term plans. #CVPR2025

We find evidence for a plan structured on the level of paths; that its estimate of success goes beyond the effect of the next action. Abandoning a navigation option for a more promising one increases the value estimate, as the agent now expects a higher future return. #CVPR2025

A big thanks to the NAVER LABS Europe Spatial AI team for this, but in particular to Steeven Janny, not only for the great work linking e2e training to a Kalman filter but also the D3.js magic making the real-time analytics work, and the interactive website!

We have written a blog post on our research in end-to-end trained models for navigation: - Fast and precise motion by training w realistic motion models - Geometric foundation models - Efficient training losses. europe.naverlabs.com/research/found… (The NAVER LABS Europe Spatial AI team)

We have made some post-conference improvements of our CVPR'25 paper on end-to-end trained navigation. The agent has similar success rate but is more efficient, faster, less hesitant. Will be presented at CVPR in June. arxiv.org/abs/2503.08306 Work by Steeven Janny et al.

You can find me over there. Posting real science instead of things like these 😁 timeshighereducation.com/news/xs-domina…