I think kids at school should have a class on writing tests.

And the answer is 0.9999 for the win.
Lower confidence value always gives you worse results for more or less same runtime.

More in our RANSAC Tutorial at #ICCV2025

Would it be available online?

what is the scale?

Introducing DINOv3 🦕🦕🦕

A SotA-enabling vision foundation model, trained with pure self-supervised learning (SSL) at scale.
High quality dense features, combining unprecedented semantic and geometric scene understanding.

Three reasons why this matters👇

The French often mention the roundabout at Arc de Triomphe as one of the ultimate tests for a self-driving vehicle.

I would say that the equivalent for humanoid robots would be to unwrap Chupa Chups Lollipop.

Take that Embodied AI!

How to name your method: a comprehensive flow chart

I see, it is crazy that it is possible to be so consistent with such a type of memory!

I wonder if I would be walking for a "minute" (e.g. context size window) in the Genie 3, too far away from the main scene, would it start hallucinating much more than this?

I'm still puzzed by what type of memory would allow for such behavior:

The girl disappeared for several seconds after full occlusion (sec. 13-14), however appeared once more at the end of the video. So it is clearly not LSTM style memory.

Any ideas?

SCMs often assume overly-dense causal graphs in dynamic settings 👉⚽🥎, since any object interaction is a potential causal edge, making them hard to scale. In joint work with @turanorujlu.bsky.social @cgumbsch.bsky.social & Martin Butz we propose a new Causal Process Model to tackle this.
Thread👇

Happy to organize #CoRL2025 Workshop! If you are interested in world models or learning simulators for robotics, consider joining!

simulatingrobotworlds.github.io

More info 👇

Learning to Simulate Robot Worlds Join the Learning to Simulate Robot Worlds workshop.

🚀 We’re pleased to announce our workshop at CoRL 2025: Learning to Simulate Robot Worlds! Workshop website: simulatingrobotworlds.github.io
The workshop aims to cover topics like physics-grounded simulation, photorealistic digital twins, AI-controlled simulators, to learned neural world models.

🌍🤖 What is the best way to explore the world to learn a robust world model from high dimensional data? 🤖🌍

SENSEI learns to explore from humans by reusing semantics structure discovered by VLMs and exploring around most interesting for VLM states.
#ICML2025

this post: ysymyth.github.io/The-Second-H...

🚀 Never miss a beat in science again!

📬 Scholar Inbox is your personal assistant for staying up to date with your literature. It includes: visual summaries, collections, search and a conference planner.

Check out our white paper: arxiv.org/abs/2504.08385
#OpenScience #AI #RecommenderSystems

Interesting idea: RL with memory traces = exponential moving averages of latent encodings.

arxiv.org/abs/2503.15200

O. Eberhard, M. Muehlebach, @claireve.bsky.social

Some hard evals.
1) IMC24 train -- Lizard. Reconstruction is good, but summer and winter are two separate nearby
2) IMC 24 train -- pond. Results are hard to tell.
3) Room with mirror - almost ideal
Overall the results are very impressive, but SfM is not solved yet.
1/

No, just to visualize proportions: e.g. %of public and % of private.

Do you have a map? This would be useful

It is pointless, but.
My US friends - it will not stop after 4 years with next elections.
Either you stop it yourself in some way, or there will be no fair elections next time. Democracy is fragile.
P.S. If you like what is going on - enjoy.

u24.gov.ua

Best what one can do as individual is it set a monthly target and donate it until the victory automatically. For example as standing order from your bank using SEPA:

koloua.com/en/donate#sepa

By popular demand, we are extending #ICCV2025 coverage to Bluesky. Stay tuned!

Re-posting is appreciated: We have a fully funded PhD position in CMC lab @cmc-lab.bsky.social (at @tudresden_de). You can use forms.gle/qiAv5NZ871kv... to send your application and find more information. Deadline is April 30. Find more about CMC lab: cmclab.org and email me if you have questions.

Our team @GoogleAI is hiring an intern. We are interested in having LMs understand and respond to users better. Topics include: teaching LMs to build “mental models” of users; improving LM's reasoning capability over long contexts.

@GoogleAI internship deadline is Feb 28.

💯%

computer vision researchers’ conversations with friends be like

I guess this is good enough proxy, but lets see :)

OpenReview

openreview.net/group/info?i...