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Katrin Renz

@katrinrenz.bsky.social
57 followers 50 following 12 posts

katrinrenz.de LLMs + Autonomous Driving. PhD Student at Uni Tübingen with Andreas Geiger. Previously at Wayve & Uni Oxford, VGG.

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Katrin Renz @katrinrenz.bsky.social · 20/08/2025
After finishing my papers for my PhD, I spent some time exploring new directions. I ended up working on Diffusion Language Models with @haoyuhe.bsky.social (he made it work 🚀), @yongcao.bsky.social, @andreasgeiger.bsky.social. I learned a lot of new things and I am very excited about the results. 🥳
arxiv.org
MDPO: Overcoming the Training-Inference Divide of Masked Diffusion Language Models
Diffusion language models, as a promising alternative to traditional autoregressive (AR) models, enable faster generation and richer conditioning on bidirectional context. However, they suffer from a ...
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Bernhard Jaeger @bernhard-jaeger.bsky.social · 15/07/2025
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...
github.com
GitHub - autonomousvision/CaRL: [ArXiv 2025] CaRL: Learning Scalable Planning Policies with Simple Rewards
[ArXiv 2025] CaRL: Learning Scalable Planning Policies with Simple Rewards - autonomousvision/CaRL
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Katrin Renz @katrinrenz.bsky.social · 14/06/2025
📢Excited to present our poster "SimLingo" tomorrow at #CVPR2025. Drop by to talk about vision-language-action models, language-action grounding, or anything else :) 📍Saturday, 10:30 - 12:30 Poster #130 Project page: www.katrinrenz.de/simlingo/
katrinrenz.de
SimLingo
SimLingo: Vision-Only Closed-Loop Autonomous Driving with Language-Action Alignment
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Andreas Geiger @andreasgeiger.bsky.social · 05/06/2025
Your personalized CVPR 25 @cvprconference.bsky.social conference programs are now available for you! www.scholar-inbox.com/conference/c...
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Kashyap Chitta @kashyap7x.bsky.social · 05/06/2025
🚗 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
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Andrei Bursuc @abursuc.bsky.social · 30/04/2025
📢 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
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Katrin Renz @katrinrenz.bsky.social · 09/05/2025
Hi Sebastian, could you also add me?:)
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Katrin Renz @katrinrenz.bsky.social · 08/05/2025
Thanks to my great collaborators: Long Chen, Elahe Arani and Oleg Sinavski And thanks to Wayve for the great time during my internship and all the support.
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Katrin Renz @katrinrenz.bsky.social · 08/05/2025
Check out the paper or full video for more details. Full Video: www.youtube.com/watch?v=Mpbn...
youtube.com
[CVPR25, Spotl.] SimLingo: Vision-Only Closed-Loop Autonomous Driving with Language-Action Alignment
YouTube video by Katrin Renz
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Katrin Renz @katrinrenz.bsky.social · 08/05/2025
⛳️We introduce a DREAMING flag with which the model can differentiate between driving mode, where only safe instructions are executed, and dreaming mode, where the actions for all instructions are predicted.
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Katrin Renz @katrinrenz.bsky.social · 08/05/2025
💭Action Dreaming: A safe way to test Language-Action alignment. We test not only expert behaviour but a wide variety of possible actions (e.g., speed changes, driving towards a specific object, lane change manoeuvres).
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Katrin Renz @katrinrenz.bsky.social · 08/05/2025
🫱🏻‍🫲🏽 Language-Action Alignment: On normal driving datasets, the action can often be inferred from the visual cue alone. Our new dataset includes multiple different actions for each sample, together with the language instruction. This forces the model to listen to the instruction.
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Katrin Renz @katrinrenz.bsky.social · 08/05/2025
🥇State-of-the-art: SimLingo is the first VLA model on the CARLA Leaderboard, achieving state-of-the-art driving performance on multiple benchmarks.
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Katrin Renz @katrinrenz.bsky.social · 08/05/2025
📣 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
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Stefano Esposito @s-esposito.bsky.social · 05/05/2025
📢 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
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Katrin Renz @katrinrenz.bsky.social · 25/03/2025
In my first research project I was super excited about getting any stars on GitHub. Now having a project with 1k stars feels unreal🤯 wouldn’t have been possible without the tremendous effort of @chonghaosima.bsky.social during the main project and afterwards with the challenge 🙏🏼
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Andreas Geiger @andreasgeiger.bsky.social · 20/03/2025
🆕 The CARLA Route Generator is a new Python application that provides a GUI for creating and editing routes, as well as defining scenarios within the CARLA simulator. It can also be used in conjunction with CARLA Leaderboard 2.0! github.com/autonomousvi...
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Andreas Geiger @andreasgeiger.bsky.social · 19/03/2025
Come join us!
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Katrin Renz @katrinrenz.bsky.social · 20/03/2025
We have just released a new tool to create custom routes and insert scenarios for the CARLA Leaderboard 2.0. The tool was written by our great research assistant Jens. 🥳 Github: github.com/autonomousvi... #CARLA #AutonomousDriving
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Andrei Bursuc @abursuc.bsky.social · 11/03/2025
Learning to Drive (L2D): the most exciting dataset release of the year by @hf.co & @yaak-ai.bsky.social - 5K hours of driving data from 3 cameras - lots of other synchronized data: GPU, IMU, CAN, actions, task descriptions - 90TB of data - LeRobot data formatting huggingface.co/blog/lerobot...
huggingface.co
LeRobot goes to driving school: World’s largest open-source self-driving dataset
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
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