Andreas Geiger
@andreasgeiger.bsky.social
Professor, University of Tübingen @unituebingen.bsky.social.
Head of Department of Computer Science 🎓.
Faculty, Tübingen AI Center 🇩🇪 @tuebingen-ai.bsky.social.
ELLIS Fellow, Founding Board Member 🇪🇺 @ellis.eu.
CV 📷, ML 🧠, Self-Driving 🚗, NLP 🖺
Head of Department of Computer Science 🎓.
Faculty, Tübingen AI Center 🇩🇪 @tuebingen-ai.bsky.social.
ELLIS Fellow, Founding Board Member 🇪🇺 @ellis.eu.
CV 📷, ML 🧠, Self-Driving 🚗, NLP 🖺
Congratulations to our PhD student @takerumiyato.bsky.social for winning the Google PhD Fellowship in the category "Machine Learning and ML Foundations". Takeru is pioneering new neural architectures that improve generalization and efficiency. Check out his research: takerum.github.io
Takeru Miyato - AI Research Scientist
PhD student at University of Tübingen working on artificial intelligence, machine learning, and deep learning research.
takerum.github.io
October 24, 2025 at 7:37 AM
Congratulations to our PhD student @takerumiyato.bsky.social for winning the Google PhD Fellowship in the category "Machine Learning and ML Foundations". Takeru is pioneering new neural architectures that improve generalization and efficiency. Check out his research: takerum.github.io
Reposted by Andreas Geiger
🚀Excited to share our recent work on test-time scaling for feed-forward Gaussian splatting:
we learn a recurrent model ReSplat that is able to iteratively improve the reconstruction quality in a feed-forward manner!
haofeixu.github.io/resplat/
we learn a recurrent model ReSplat that is able to iteratively improve the reconstruction quality in a feed-forward manner!
haofeixu.github.io/resplat/
October 10, 2025 at 8:12 PM
🚀Excited to share our recent work on test-time scaling for feed-forward Gaussian splatting:
we learn a recurrent model ReSplat that is able to iteratively improve the reconstruction quality in a feed-forward manner!
haofeixu.github.io/resplat/
we learn a recurrent model ReSplat that is able to iteratively improve the reconstruction quality in a feed-forward manner!
haofeixu.github.io/resplat/
Personal programs for ICCV 2025 are now available at:
www.scholar-inbox.com/conference/i...
www.scholar-inbox.com/conference/i...
October 10, 2025 at 6:19 AM
Personal programs for ICCV 2025 are now available at:
www.scholar-inbox.com/conference/i...
www.scholar-inbox.com/conference/i...
#TTT3R: 3D Reconstruction as Test-Time Training
TTT3R offers a simple state update rule to enhance length generalization for #CUT3R — No fine-tuning required!
🔗Page: rover-xingyu.github.io/TTT3R
We rebuilt @taylorswift13’s "22" live at the 2013 Billboard Music Awards - in 3D!
TTT3R offers a simple state update rule to enhance length generalization for #CUT3R — No fine-tuning required!
🔗Page: rover-xingyu.github.io/TTT3R
We rebuilt @taylorswift13’s "22" live at the 2013 Billboard Music Awards - in 3D!
October 1, 2025 at 6:35 AM
#TTT3R: 3D Reconstruction as Test-Time Training
TTT3R offers a simple state update rule to enhance length generalization for #CUT3R — No fine-tuning required!
🔗Page: rover-xingyu.github.io/TTT3R
We rebuilt @taylorswift13’s "22" live at the 2013 Billboard Music Awards - in 3D!
TTT3R offers a simple state update rule to enhance length generalization for #CUT3R — No fine-tuning required!
🔗Page: rover-xingyu.github.io/TTT3R
We rebuilt @taylorswift13’s "22" live at the 2013 Billboard Music Awards - in 3D!
Excited about this new work from @haoyuhe.bsky.social. TLDR: Diffusion language models treat learning and inference differently which lowers performance. RL can be used to overcome this issue for certain problems.
🚀 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/
📄 Paper: www.scholar-inbox.com/papers/He202...
arxiv.org/pdf/2508.13148
💻 Code: github.com/autonomousvi...
🌐 Project Page: cli212.github.io/MDPO/
August 20, 2025 at 8:25 PM
Excited about this new work from @haoyuhe.bsky.social. TLDR: Diffusion language models treat learning and inference differently which lowers performance. RL can be used to overcome this issue for certain problems.
Reposted by Andreas Geiger
One concern that I have as an AI researcher when publishing code is that it can potentially be used in dual-use applications.
To solve this, we propose Civil Software Licenses. They prevent dual-use while being minimal in the restrictions they impose:
civil-software-licenses.github.io
To solve this, we propose Civil Software Licenses. They prevent dual-use while being minimal in the restrictions they impose:
civil-software-licenses.github.io
Civil Software Licenses
civil-software-licenses.github.io
July 31, 2025 at 5:36 PM
One concern that I have as an AI researcher when publishing code is that it can potentially be used in dual-use applications.
To solve this, we propose Civil Software Licenses. They prevent dual-use while being minimal in the restrictions they impose:
civil-software-licenses.github.io
To solve this, we propose Civil Software Licenses. They prevent dual-use while being minimal in the restrictions they impose:
civil-software-licenses.github.io
Scholar Inbox @ ACL 25! @aclmeeting.bsky.social
July 28, 2025 at 8:19 AM
Scholar Inbox @ ACL 25! @aclmeeting.bsky.social
Meme credit: @markusflicke.bsky.social
July 27, 2025 at 6:01 AM
Meme credit: @markusflicke.bsky.social
We are excited that Scholar Inbox is supporting ACL 2025
@aclmeeting.bsky.social with personalized conference programs this year for the first time!
www.scholar-inbox.com/conference/a...
It would be great if you could widely share this news within the NLP community. See you next week in Vienna!
@aclmeeting.bsky.social with personalized conference programs this year for the first time!
www.scholar-inbox.com/conference/a...
It would be great if you could widely share this news within the NLP community. See you next week in Vienna!
July 24, 2025 at 9:06 AM
We are excited that Scholar Inbox is supporting ACL 2025
@aclmeeting.bsky.social with personalized conference programs this year for the first time!
www.scholar-inbox.com/conference/a...
It would be great if you could widely share this news within the NLP community. See you next week in Vienna!
@aclmeeting.bsky.social with personalized conference programs this year for the first time!
www.scholar-inbox.com/conference/a...
It would be great if you could widely share this news within the NLP community. See you next week in Vienna!
Last team member moving to the new office!
July 22, 2025 at 5:40 PM
Last team member moving to the new office!
Today, we moved into our new building on the CyberValley campus. Everyone is super excited. PhD students went right back to work. But wait, is there something missing? ;)
July 21, 2025 at 7:07 PM
Today, we moved into our new building on the CyberValley campus. Everyone is super excited. PhD students went right back to work. But wait, is there something missing? ;)
Today we had our AVG Deep Cave Expedition Day! Exploring the challenges of the (unlit, narrow, crawling-only) Hofener Höhle near Grabenstetten ..
July 18, 2025 at 3:48 PM
Today we had our AVG Deep Cave Expedition Day! Exploring the challenges of the (unlit, narrow, crawling-only) Hofener Höhle near Grabenstetten ..
A big milestone for us. Huge congrats to Bernhard, Daniel and team! The first comprehensive codebase for training RL self-driving agents with state-of-the-art performance on both CARLA 2.0 and nuPlan.
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...
The repository contains the first public code base for training RL agents with the CARLA leaderboard 2.0 and nuPlan.
github.com/autonomousvi...
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
github.com
July 15, 2025 at 7:07 PM
A big milestone for us. Huge congrats to Bernhard, Daniel and team! The first comprehensive codebase for training RL self-driving agents with state-of-the-art performance on both CARLA 2.0 and nuPlan.
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...
youtube.com/watch?v=_god...
CaRL: Learning Scalable Planning Policies with Simple Rewards
YouTube video by Daniel Dauner
youtube.com
July 15, 2025 at 6:17 AM
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...
youtube.com/watch?v=_god...
Thanks for being our #1 ambassador, Claire! Enjoy ICML!
At #ICML, you can just use scholar inbox to help you find your way through the poster sessions. It just sorts the papers according to your preferences and it really works.
www.scholar-inbox.com/conference/i... ICML 2025 Planner
www.scholar-inbox.com/conference/i... ICML 2025 Planner
July 15, 2025 at 6:12 AM
Thanks for being our #1 ambassador, Claire! Enjoy ICML!
Reposted by Andreas Geiger
Yesterday, the founding team behind scholar-inbox.com took home the Audience Award 🏆 and the Best Business Model Award 🏆!
Philipp Hühn and @markusflicke.bsky.social impressed everyone with a clear and engaging pitch of their smart recommender tool for academic papers.
Philipp Hühn and @markusflicke.bsky.social impressed everyone with a clear and engaging pitch of their smart recommender tool for academic papers.
July 11, 2025 at 2:48 PM
Yesterday, the founding team behind scholar-inbox.com took home the Audience Award 🏆 and the Best Business Model Award 🏆!
Philipp Hühn and @markusflicke.bsky.social impressed everyone with a clear and engaging pitch of their smart recommender tool for academic papers.
Philipp Hühn and @markusflicke.bsky.social impressed everyone with a clear and engaging pitch of their smart recommender tool for academic papers.
Attending ICML 25 @icmlconf.bsky.social next week? Check out your personalized conference program at to know where to stop: www.scholar-inbox.com/conference/i...
July 11, 2025 at 8:13 AM
Attending ICML 25 @icmlconf.bsky.social next week? Check out your personalized conference program at to know where to stop: www.scholar-inbox.com/conference/i...
I am very proud of my group! These are the nationalities of my current and past team members. Diversity is key.
🇩🇪 🇬🇷 🇮🇹 🇮🇳 🇷🇺 🇺🇦 🇨🇳 🇷🇸 🇯🇵 🇧🇪 🇺🇸 🇰🇷 🇹🇷
🇩🇪 🇬🇷 🇮🇹 🇮🇳 🇷🇺 🇺🇦 🇨🇳 🇷🇸 🇯🇵 🇧🇪 🇺🇸 🇰🇷 🇹🇷
July 3, 2025 at 10:30 AM
I am very proud of my group! These are the nationalities of my current and past team members. Diversity is key.
🇩🇪 🇬🇷 🇮🇹 🇮🇳 🇷🇺 🇺🇦 🇨🇳 🇷🇸 🇯🇵 🇧🇪 🇺🇸 🇰🇷 🇹🇷
🇩🇪 🇬🇷 🇮🇹 🇮🇳 🇷🇺 🇺🇦 🇨🇳 🇷🇸 🇯🇵 🇧🇪 🇺🇸 🇰🇷 🇹🇷
Last day of our AVG Summer retreat 2025 in Balderschwang! Many talks and for the first time 2 panel discussions and a PhD life hack session. And of course some sports,games,swimming and lots of fun..
July 2, 2025 at 9:20 AM
Last day of our AVG Summer retreat 2025 in Balderschwang! Many talks and for the first time 2 panel discussions and a PhD life hack session. And of course some sports,games,swimming and lots of fun..
Join us for our RealADSim Challenge! Closed-loop Driving in a 3DGS-based Simulator .. how cool is that? ;)
🚗 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/
🏆 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/
July 1, 2025 at 4:31 AM
Join us for our RealADSim Challenge! Closed-loop Driving in a 3DGS-based Simulator .. how cool is that? ;)
Scholar Inbox is featured on the ML for Science blog!
On our blog: Science is moving fast. How do we keep up? #ScholarInbox, developed by the Autonomous Vision Group led by @andreasgeiger.bsky.social, helps researchers stay ahead - by making the discovery of #openaccess papers smarter and more personal: www.machinelearningforscience.de/en/scholar-i...
Scholar Inbox: Daily Research Recommendations just for You
Science is moving fast. How can we keep up? Scholar Inbox helps researchers stay ahead by making the discovery of open access papers more personal.
www.machinelearningforscience.de
June 30, 2025 at 2:40 PM
Scholar Inbox is featured on the ML for Science blog!
Christina's new work PrITTI generates high-quality, controllable 3D semantic urban scenes in a compact primitive-based representation using a latent diffusion model. This enables applications like scene editing, inpainting, and photo-realistic street view synthesis!
raniatze.github.io/pritti/
raniatze.github.io/pritti/
June 25, 2025 at 11:23 AM
Christina's new work PrITTI generates high-quality, controllable 3D semantic urban scenes in a compact primitive-based representation using a latent diffusion model. This enables applications like scene editing, inpainting, and photo-realistic street view synthesis!
raniatze.github.io/pritti/
raniatze.github.io/pritti/
Very happy that finally - after ~2 years of review - PanopticNERF-360 has been accepted to TPAMI :)
Panoramic 3D-to-2D Label Transfer in Urban Scenes. Kudos to the team and Yiyi Liao for leading the effort. Here is the project page: fuxiao0719.github.io/projects/pan...
Panoramic 3D-to-2D Label Transfer in Urban Scenes. Kudos to the team and Yiyi Liao for leading the effort. Here is the project page: fuxiao0719.github.io/projects/pan...
June 24, 2025 at 2:39 PM
Very happy that finally - after ~2 years of review - PanopticNERF-360 has been accepted to TPAMI :)
Panoramic 3D-to-2D Label Transfer in Urban Scenes. Kudos to the team and Yiyi Liao for leading the effort. Here is the project page: fuxiao0719.github.io/projects/pan...
Panoramic 3D-to-2D Label Transfer in Urban Scenes. Kudos to the team and Yiyi Liao for leading the effort. Here is the project page: fuxiao0719.github.io/projects/pan...
Reposted by Andreas Geiger
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.
June 17, 2025 at 9:36 PM
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.