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Patricia Gschoßmann

@pgschossmann.bsky.social
79 followers 81 following 0 posts

PhD student @ Uni Tübingen and IMPRS-IS, working on 3D vision patriciagschossmann.github.io

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Reposted by Patricia Gschoßmann
Yong Cao @yongcao.bsky.social · 25/07/2025
So excited that our Scholar Inbox is serving ACL 2025. Looking forward to meeting all of you in Vienna, along with my great team @andreasgeiger.bsky.social @haoyuhe.bsky.social @markusflicke.bsky.social! We also present our ACL Demo paper poster at (Hall X4 X5) 28th 11:00-12:30. Welcome for chat!
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Reposted by Patricia Gschoßmann
Andreas Geiger @andreasgeiger.bsky.social · 15/07/2025
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
CaRL: Learning Scalable Planning Policies with Simple Rewards
YouTube video by Daniel Dauner
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Reposted by Patricia Gschoßmann
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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Reposted by Patricia Gschoßmann
Tübingen AI Center @tuebingen-ai.bsky.social · 11/07/2025
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 Markus Flicke at the Award Ceremony of the AI Incubator Demo Day (photo: Tübingen AI Center)
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Reposted by Patricia Gschoßmann
Andreas Geiger @andreasgeiger.bsky.social · 02/07/2025
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..
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Reposted by Patricia Gschoßmann
Andreas Geiger @andreasgeiger.bsky.social · 25/06/2025
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/
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Reposted by Patricia Gschoßmann
Andreas Geiger @andreasgeiger.bsky.social · 13/06/2025
Hooray! Shaofei's "Relightable Full-body Gaussian Codec Avatars" work neuralbodies.github.io/RFGCA/ is featured in this years SIGGRAPH 2025 Technical Papers Trailer! @acmsiggraph.bsky.social: www.youtube.com/watch?v=HfHC...
youtube.com
SIGGRAPH 2025 Technical Papers Trailer
YouTube video by ACMSIGGRAPH
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Reposted by Patricia Gschoßmann
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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Reposted by Patricia Gschoßmann
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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Reposted by Patricia Gschoßmann
Bernhard Jaeger @bernhard-jaeger.bsky.social · 28/04/2025
Introducing CaRL: Learning Scalable Planning Policies with Simple Rewards We show how simple rewards enable scaling up PPO for planning. CaRL outperforms all prior learning-based approaches on nuPlan Val14 and CARLA longest6 v2, using less inference compute. arxiv.org/abs/2504.17838
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Reposted by Patricia Gschoßmann
Andreas Geiger @andreasgeiger.bsky.social · 28/02/2025
💃Excited to announce our new #3DV25 paper Unimotion, a multi-task human motion model which is able to (1) generate motion from sequence- and frame-level text, (2) generate detailed per-frame motion descriptions, and (3) generate motion from random noise. coral79.github.io/uni-motion/
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Reposted by Patricia Gschoßmann
Andreas Geiger @andreasgeiger.bsky.social · 26/02/2025
🚀 Names matter! We show that better class names in open-vocabulary segmentation benchmarks greatly improve dataset quality and boost model performance. RENOVATE your dataset labels with our automatic framework! #AI #ComputerVision #NeurIPS24 andrehuang.github.io/renovate/
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Reposted by Patricia Gschoßmann
Andreas Geiger @andreasgeiger.bsky.social · 22/02/2025
Our beginner's oriented accessible introduction to modern deep RL is now published in Foundations and Trends in Optimization. It is a great entry to the field if you want to jumpstart into RL! @bernhard-jaeger.bsky.social www.nowpublishers.com/article/Deta... arxiv.org/abs/2312.08365
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Reposted by Patricia Gschoßmann
Andreas Geiger @andreasgeiger.bsky.social · 12/02/2025
Synchronization is ubiquitous in nature and a key mechanism for information processing in the brain. We introduce AKOrN as a dynamical alternative to threshold units, which can be combined with MLPs, CNNs or Transformers. ICLR'25 Oral. Project page: takerum.github.io/akorn_projec...
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Reposted by Patricia Gschoßmann
Andreas Geiger @andreasgeiger.bsky.social · 16/01/2025
This week we had our winter retreat jointly with Daniel Cremer's group in Montafon, Austria. 46 talks, 100 Km of slopes and night sledding with some occasionally lost and found. It has been fun!
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