Huge congrats @vickykalogeiton.bsky.social for being awarded the médaille de bronze in Computer Science!👏🥳🎉🍾 Very well deserved for all the hard work and fantastic ideas! www.ins2i.cnrs.fr/fr/talents/c... @cnrsinformatics.bsky.social @ipparis.bsky.social @ecolepolytechnique.bsky.social

This very nice paper provides some useful pushback against PRH. To me science is like a damped pendulum, where we need to swing back and forth a few times before converging on truth. So don't worry PRH fans, I'll be trying to swing us back out of the cave again soon!

Excited to share my work as a Student Researcher at Google Zurich: UniGeoCLIP! 🌍🚀 W/ Eduard Trulls, Jan Hosang, @loicland.bsky.social & @pesarlin.bsky.social , we built a framework aligning 5 geospatial modalities in one space. Presented at EarthVision @ #CVPR2026. 🧵👇

I thought I would do a thread, but honestly the post is so good: kyutai.org/blog/2026-04... It explains "One View Is Enough! Monocular Training for In-the-Wild Novel View Generation" arxiv.org/abs/2603.23488 done in colab with the smart people at kyutai

You don't imagine the future by mentally rendering a movie. You trace how things move -- abstractly, sparsely, step by step. We built a model that does exactly this. It predicts motion, not pixels -- and it's 3,000× faster than video world models. Myriad, accepted at @cvprconference.bsky.social

🚨 arxiv.org/abs/2604.06129 PoM: A Linear-Time Replacement for Attention with the Polynomial Mixer This paper is the result of doing a lab-wide hackathon on an idea I've had for some time. Probably the paper with the highest number of authors I've ever done. It's a CVPR Findings 26. Thread 🧵👇

👀 arxiv.org/abs/2604.06129 Will do a thread later today

Related read: ergosphere.blog/posts/the-ma...

🚨 Happy to announce CVPR@Paris'26 which will take place on June 1st in Paris. The goal of the event is to share a little bit of the conference before it happens. We will have poster sessions as well as several plenary talks by world-class speakers. info: cvprinparis.github.io/CVPR2026InPa...

Excited to announce our latest (submitted to) SIGBOVIK 2026 @harryqbovik.bsky.social paper: "SchmidhubAI: Accurate Historical Paper Attribution". We built an AI system that, given any modern AI paper, automatically determines which of its ideas were already published by Jürgen Schmidhuber.

arxiv.org/abs/2603.23488 👀 I'll make a detailed thread later

Today NeurIPS is announcing our official satellite event in Paris. After responding to the call from Ellis following the success of EurIPS in December, we are pleased to reach a new milestone by joining forces with the NeurIPS organizing committee for the 2026 edition.

You will find all official information on the NeurIPS website and on our social networks. NeurIPS Europe is already supported by SSFAM, Hi! Paris, and PRAIRIE-PSL. Satellite General Chairs: Linus Bleistein, Olivier Cappé, Laetitia Chapel, Edwige Cyffers, Rémi Flamary, Pierre Marion

Quick pitstop in Erlangen. Plan to come back later this coming week for a proper visit at FAU hosted, hosted by @visionbernie.bsky.social

I hate the ECCV template so much. Why can't it just die? Nobody prints proceedings into LNCS volumes anymore. My favorite templates: 1. IEEE/CVPR 2. NeurIPS ... ... 39,2312,321. Edging tikz commands in morse code onto the skin of a dead walrus ... ... Springer/ECCV

This year I'm teaching a new course on generative models for visual content (images, video, 3D, etc). It's mostly me rambling about recent papers, design choices I like/hate. The slides of the first lectures are here: davidpicard.github.io/teaching/ Use right arrow to navigate past the blank page.

We have to move all major conferences out of the USA. Nobody wants to get murdered by a militia, ergo no one will attend these conferences. I'm looking at you, CVF...

Get feedback on your #ICML2026 submission from Google's Gemini-based paper assistant tool, an advanced LLM tool specialized to assist with ICML submissions. Live now! More details in the following blog post: blog.icml.cc/2026/01/14/i...

Super accessible write up on what we and others have been up to on representational convergence in AI models, and the platonic representation hypothesis, along with contrary views. I'm a big fan of Quanta Magazine, so it was very cool to see them cover this!

Yesterday, @nicolasdufour.bsky.social defended is PhD. I really enjoyed the years of collaboration w/ @vickykalogeiton.bsky.social (& @loicland.bsky.social) Video: youtube.com/live/DXQ7FZA... Big thanks to the jury @dlarlus.bsky.social @ptrkprz.bsky.social @gtolias.bsky.social A. Efros & T. Karras

Nicolas ( @nicolasdufour.bsky.social ) is defending his PhD right now. I was so in awe of the presentation that I even forgot to take pictures 😅

#KostasThoughts: Please stop using AI tools to write reviews. I want your authentic thoughts, even if they contain spelling, grammar, & factual mistakes. An LLM should not influence your judgment. The purpose of multiple reviewers is to provide diverse views and error checking.

There has to be a decoupling from research for the sake of increasing knowledge, and research for the sake of pleasing VCs. As long as these conference are the key to a career making millions, they will be overflown by people just taking the gamble and thus not taking the reviewing part seriously.

All the slop review drama unfolding at ICLR is painful to watch. But having so many eyes on it puts us in a better point to find solutions. This would have taken longer to be exposed on a closed platform where we may have had a few screenshots and a few author stories at best.

Update on #CVPR2026 full paper & compute form submission issue: We would like to inform authors that the OR submission system requires the submission of a compute reporting form along with any updates to the full paper. We have identified this as a system-related issue. 1/2

This Nature retrospective is quite interesting. To me, the only solution to the credit assignment problem is obvious: stop believing a single person is responsible for every big discovery. It's an artifact of our monkey brain requiring a face for storage, not the reality of how knowledge progresses.

Image generation becomes much more energy efficient. 👍

Check out our new work: MIRO No more post-training alignment! We integrate human alignment right from the start, during pretraining! Results: ✨ 19x faster convergence ⚡ ✨ 370x less compute 💻 🔗 Explore the project: nicolas-dufour.github.io/miro/

Privileged to the diffusion master @nicolasdufour.bsky.social give to our team (full house) a tour of his excellent works in data and compute efficient diffusion models and a sneak preview of his latest MIRO work. Check it out 👌

I'm super happy about Nicolas' latest work, probably the magnum opus of his PhD. Read the thread for all the great details. The main conclusion I draw from this work is that better pretraining, in particular by conditioning on better data, allows us to train SOTA models at a fraction of the cost.

We introduce MIRO: a new paradigm for T2I model alignment integrating reward conditioning into pretraining, eliminating the need for separate fine-tuning/RL stages. This single-stage approach offers unprecedented efficiency and control. - 19x faster convergence ⚡ - 370x less FLOPS than FLUX-dev 📉

👀 arxiv.org/abs/2510.25897 Thread with all details coming soon!

"The Principles of Diffusion Models" by Chieh-Hsin Lai, Yang Song, Dongjun Kim, Yuki Mitsufuji, Stefano Ermon. arxiv.org/abs/2510.21890 It might not be the easiest intro to diffusion models, but this monograph is an amazing deep dive into the math behind them and all the nuances

"familiar to most members of society"? Hell, if I know 20% of the things in that table, that's a maximum. Who are those guys and in what society do they live? This is exactly why I think the concept of AGI is meaningless.

Probably the best paper title of my career. To read with the Indiana jones soundtrack. And yes we solved and differentiated quite well 80 millions (small) Fused Gromov Wasserstein problems per epoch using a neural network on GPU.

Did you open-source your #ICCV2025 works? As a PyTorch Ambassador, I would like to write an article to introduce open-sourced ICCV 2025 works (including workshops and demos) for promoting open-source/science + PyTorch If interested, share your work via the form in my reply 👇

Over the past year, my lab has been working on fleshing out theory + applications of the Platonic Representation Hypothesis. Today I want to share two new works on this topic: Eliciting higher alignment: arxiv.org/abs/2510.02425 Unpaired learning of unified reps: arxiv.org/abs/2510.08492 1/9

Happening now at VRG Colloquium by @vickykalogeiton.bsky.social

Very proud of our recent work, kudos to the team! Read @davidpicard.bsky.social’s excellent post for more details or the paper arxiv.org/pdf/2502.21318

Final note: I'm (we're) tempted to organize a challenge on that topic as a workshop at a CV conf. ImageNet is the only source of images allowed and then you compete to get the bold numbers. Do you think there would be people in for that? Do you think it would make for a nice competition?

🚨Updated: "How far can we go with ImageNet for Text-to-Image generation?" TL;DR: train a text2image model from scratch on ImageNet only and beat SDXL. Paper, code, data available! Reproducible science FTW! 🧵👇 📜 arxiv.org/abs/2502.21318 💻 github.com/lucasdegeorg... 💽 huggingface.co/arijitghosh/...

Some conclusions and food for thought for the future research.

Another great event for @valeoai.bsky.social team: a PhD defense of Corentin Sautier. His thesis «Learning Actionable LiDAR Representations w/o Annotations» covers the papers BEVContrast (learning self-sup LiDAR features), SLidR, ScaLR (distillation), UNIT and Alpine (solving tasks w/o labels).

Familiar names among #ICCV2025 Outstanding Reviewers from our team 😇 Antoine Guédon @antoine-guedon.bsky.social Sinisa Stekovic Renaud Marlet 👏 @iccv.bsky.social iccv.thecvf.com/Conferences/...

Getting close to the beautiful fall colors right outside the lab 🍁🍂

I coined a new verb on my slack channel. Suttonize: verb. Removing dedicated processing that require careful tuning and replacing it with simpler but more intensive computation. Ex: "We should suttonize this: just remove the encoder and concat the sources together with a few self-attention layers".