We're recruiting our next batch of interns. Come join the team! nvidia.wd5.myworkdayjobs.com/en-US/NVIDIA...

How AI Taught Itself to See Self-supervised learning is fascinating! How can AI learn from images only without labels? In this video, we’ll build the method from first principles and uncover the key ideas behind CLIP, MAE, SimCLR, and DINO (v1–v3). Video link: youtu.be/oGTasd3cliM

Putting the final touches on your submission? Just a few days left to enter the @iccv.bsky.social NAVSIM Challenge! Deadline: September 20. $8K in prizes and several travel grants are on the line!

Found this marvelous little course full of readings to trace the evolution of computer science and its canonical ideas graphics.stanford.edu/courses/cs20...

Our Principal Investigators Antonio Orvieto, Celestine Mendler-Dünner, Maximilian Dax, Rediet Abebe, @shiweiliu.bsky.social, T. Konstantin Rusch, and @wielandbrendel.bsky.social are looking for motivated students interested in internships. Apply here: docs.google.com/forms/d/e/1F...

Announcing the @iccv.bsky.social NAVSIM Challenge! What's new? We're testing not only on real recordings, but also perturbed futures generated from the real ones via pseudo-simulation! $8K in prizes + several $1.5k travel grants. Submit by September 20! opendrivelab.com/challenge2025/ 🧵👇

Announcing the @iccv.bsky.social NAVSIM Challenge! What's new? We're testing not only on real recordings, but also perturbed futures generated from the real ones via pseudo-simulation! $8K in prizes + several $1.5k travel grants. Submit by September 20! opendrivelab.com/challenge2025/ 🧵👇

🎓 Interested in a #PhD in machine learning or #AI? The ELLIS PhD Program connects top students with leading researchers across Europe. The application portal opens on Oct 1st. Curious? Join our info session on the same day. Get all the info 👉

Let's push for the obvious solution: Dear @neuripsconf.bsky.social ! Allow authors to present accepted papers at EurIPS instead of NeurIPS rather than just additionally. Likely, at least 500 papers would move to Copenhagen, problem solved.

🚀 Introducing our new paper, MDPO: Overcoming the Training-Inference Divide of Masked Diffusion Language Models. 📄 Paper: www.scholar-inbox.com/papers/He202... arxiv.org/pdf/2508.13148 💻 Code: github.com/autonomousvi... 🌐 Project Page: cli212.github.io/MDPO/

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👇

Our paper "CaRL: Learning Scalable Planning Policies with Simple Rewards" has been accepted to the Conference on Robot Learning (CoRL 2025). See you in Seoul at the end of September. Code & Paper: github.com/autonomousvi...

At TRI’s newest division: Automated Driving Advanced Development, we’re building a clean-slate, end-to-end autonomy stack. We're hiring, with open roles in learning, infra, and validation: www.tri.global/careers#open...

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.

Adding a nice way to visualize the PPO objective to the rlhf book. Core for policy-gradient is L is proportional to R*A (R=policy ratio, A = advantage). PPO makes good actions more likely, up to a point. PPO makes bad actions less likely, up to a point.

🚨Job Alert W2 (TT W3) Professorship in Computer Science "AI for People & Society" @saarland-informatics-campus.de/@uni-saarland.de is looking to appoint an outstanding individual in the field of AI for people and society who has made significant contributions in one or more of the following areas:

EurIPS is coming! 📣 Mark your calendar for Dec. 2-7, 2025 in Copenhagen 📅 EurIPS is a community-organized conference where you can present accepted NeurIPS 2025 papers, endorsed by @neuripsconf.bsky.social and @nordicair.bsky.social and is co-developed by @ellis.eu eurips.cc

In an era of billion-parameter models everywhere, it's incredibly refreshing to see how a fundamental question can be formulated and solved with simple, beautiful math. - How should we orient a solar panel ☀️🔋? - Zero AI! If you enjoy math, you'll love this! Video: www.youtube.com/watch?v=ZKzL...

📢 Present your NeurIPS paper in Europe! Join EurIPS 2025 + ELLIS UnConference in Copenhagen for in-person talks, posters, workshops and more. Registration opens soon; save the date: 📅 Dec 2–7, 2025 📍 Copenhagen 🇩🇰 🔗eurips.cc #EurIPS @euripsconf.bsky.social‬

I really like this paper on relative positional encodings using projective geometry for multi-view transformers, by Li et al. (Berkeley/Nvidia/HKU). It is elegant: in special situations, it defaults to known baselines like GTA (if identity intrinsics) and RoPE (same cam). arxiv.org/abs/2507.10496

We have released the code for our work, CaRL: Learning Scalable Planning Policies with Simple Rewards. The repository contains the first public code base for training RL agents with the CARLA leaderboard 2.0 and nuPlan. github.com/autonomousvi...

In case you find it as relaxing as we do: Here is a 2h+ video of our autonomous RL driving agent CaRL in action! @danieldauner.bsky.social @bernhard-jaeger.bsky.social @kashyap7x.bsky.social youtube.com/watch?v=_god...

🏟️But we’re not done yet - our workshop continues at #ICCV2025! And the challenge moves forward too, with more prizes and exciting updates. opendrivelab.com/challenge2025/

Our @matthieucord.bsky.social talked on Driving through Generative video Pretraining: VaVIM-VaVAM. He talked on how we boosted speed & perf. by reducing number of tokens and switching from discrete to continuous tokens

🚗 Excited to announce our RealADSim Workshop & Challenges @ ICCV 2025 — join us! 🏆 Over $40,000 in prizes 🌆 Competition 1: Extrapolated Novel View Synthesis 🚘 Competition 2: Closed-loop Driving in a 3DGS-based Simulator 🎤 Featuring great speakers 🔗 realadsim.github.io/2025/

Consider trying this feed of "Other people also liked" bsky.app/profile/spac... If you like ML related posts then you will find what people who liked the same posts also liked in the last 24 hours. That way you kind of automatically follow people who share your interests.

Hiring a postdoc to scale up and deploy RL-based planning onto some self-driving cars! We'll be building on arxiv.org/abs/2502.03349 and learn what the limits and challenges of RL planning are. Shoot me a message if interested and help spread the word please! Full posting to come in a bit.

Check out the video to learn this new, elegant formulation of generative models! youtu.be/swKdn-qT47Q

The 2025 Waymo Challenge results are out! We achieved second place in the End-to-End Driving Challenge with DiffusionLTF and third place in the Scenario Generation Challenge with SHRED. Our approaches prioritized simplicity, and we're preparing to make them publicly available soon.

The 2025 Waymo Challenge results are out! We achieved second place in the End-to-End Driving Challenge with DiffusionLTF and third place in the Scenario Generation Challenge with SHRED. Our approaches prioritized simplicity, and we're preparing to make them publicly available soon.

Our computer vision textbook is now available for free online here: visionbook.mit.edu We are working on adding some interactive components like search and (beta) integration with LLMs. Hope this is useful and feel free to submit Github issues to help us improve the text!

Driving world models become much easier to control and more effective for practical applications when their training data combines human driving demonstrations with synthetic 'non-expert' data from a simulator. Introducing ReSim: resim-world-model.github.io

🤔 How to reliably simulate future driving scenarios under a wide range of ego behaviors? 😎 Key ingredient: Co-training the world model on heterogeneous data, including real-world data with expert actions and simulated data with non-expert behaviors. See ReSim: arxiv.org/abs/2506.09981

How can we reliably simulate future driving scenarios under a wide range of ego driving behaviors? Check out: ReSim: Reliable World Simulation for Autonomous Driving resim-world-model.github.io

Pseudo-Simulation for Autonomous Driving Pseudo-simulation is a new evaluation paradigm for autonomous vehicles that blends the realism of real-world data with the generalization power of simulation, enabling robust, scalable testing without the need for interactive environments.

🚗 Pseudo-simulation combines the efficiency of open-loop and robustness of closed-loop evaluation. It uses real data + 3D Gaussian Splatting synthetic views to assess error recovery, achieving strong correlation with closed-loop simulations while requiring 6x less compute. arxiv.org/abs/2506.04218

🚨Master students: Submit your thesis to the DAGM Young Researchers Forum at #GCPR! Showcase your work, connect with future PhD advisors/employers, and compete for the Best Master’s Thesis Award!🏆 🗓Deadline: End of June 11 CEST 🔗 Details: www.dagm-gcpr.de/year/2025/su...

When at @cvprconference.bsky.social a major challenge is how to split yourself for super amazing workshops. I'm afraid to announce that w/ our workshop on "Embodied Intelligence for Autonomous Systems on the Horizon" we will make this choice even harder: opendrivelab.com/cvpr2025/wor... #cvpr2025

Enter NAVSIM v2: making strides towards realistic almost closed-loop evaluation

Your personalized CVPR 25 @cvprconference.bsky.social conference programs are now available for you! www.scholar-inbox.com/conference/c...

🚗 Pseudo-simulation combines the efficiency of open-loop and robustness of closed-loop evaluation. It uses real data + 3D Gaussian Splatting synthetic views to assess error recovery, achieving strong correlation with closed-loop simulations while requiring 6x less compute. arxiv.org/abs/2506.04218

(2) We have launched a new tool: Paper Skygest Bookmarks! This is a list of posts about papers that you have liked. You need to like the post *containing the url*; it doesn’t matter whether you like the post while using Skygest.

EMPERROR is a new generative perception error model for probing self-driving planners. It imitates modern 3D detectors, maintains temporal consistency, and reveals brittleness in IL-based planning - raising collision rates by up to 85%! #RA_L #robotics #AI - lasnik.github.io/emperror/

📣 Excited to share our #CVPR2025 Spotlight paper and my internship project @wayve: SimLingo. A Vision-Language-Action (VLA) model that achieves state-of-the-art driving performance with language capabilities. Code: github.com/RenzKa/simli... Paper: arxiv.org/abs/2503.09594

📢 New paper CVPR 25! Can meshes capture fuzzy geometry? Volumetric Surfaces uses adaptive textured shells to model hair, fur without the splatting / volume overhead. It’s fast, looks great, and runs in real time even on budget phones. 🔗 autonomousvision.github.io/volsurfs/ 📄 arxiv.org/pdf/2409.02482

🤖 Spoiler alert! 👀 At IROS 2025 in Hangzhou, robots will compete, live on stage. 🔗 Details will be released soon (very soon) on opendrivelab.com/challenge202...

CORL'25 (paper): DL today, good luck (23h)! NeurIPS'25 (abs): 11 days. NeurIPS'25 (paper): 15 days.

📣 New #CVPR25 Paper: UrbanCAD builds photorealistic and highly controllable hybrid digital twins from a single urban image and a large collection of 3D CAD models, supporting various editing operations. xdimlab.github.io/UrbanCAD/

📢 We have a PR[AI]RIE PhD position opening at Inria Paris co-advised with R. de Charette & @tuanhungvu.bsky.social [please distribute] 💡Topic: Physics-Grounded Vision Foundation Models ⏳Application deadline: 20 May 2025 🗓️ Start date: Fall 2025 📝Detailed description: linked below