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Haofei Xu

@haofeixu.bsky.social
101 followers 156 following 19 posts

PhD student at ETH Zurich & University of Tübingen. Training neural networks to solve 3D and 4D. haofeixu.github.io

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Reposted by Haofei Xu
KE:SAI - Kyutai ELLIS Scalable Autonomous Intelligence @kesai.eu · 20/05/2026
Today @kyutai-labs.bsky.social and @ellisinsttue.bsky.social launch @kesai.eu! Robot learning is bottlenecked by the cost of physical interaction. Our mission is to advance the efficiency frontier of robust & safe physical AI through fully open and reproducible research. kesai.eu/blog/2026-05...
kesai.eu
Kyutai and ELLIS Tübingen launch KE:SAI: A Premier Franco-German Partnership for Open Science in Physical AI
Kyutai and ELLIS Tübingen announce the official launch of KE:SAI – Kyutai ELLIS Scalable Autonomous Intelligence, a non-profit open science lab for physical AI.
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Haofei Xu @haofeixu.bsky.social · 27/03/2026
🚀 Introducing MegaFlow: Zero-Shot Large Displacement Optical Flow! 🔥 Code, models, and demo — all available now!
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Haofei Xu @haofeixu.bsky.social · 10/10/2025
🚀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/
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Haofei Xu @haofeixu.bsky.social · 29/08/2025
Check out Frano's amazing work on multi-view 3D point tracking! 🚀 Code, models, datasets, and interactive results — all available!
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Reposted by Haofei Xu
haoyuhe.bsky.social @haoyuhe.bsky.social · 20/08/2025
🚀 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/
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Haofei Xu @haofeixu.bsky.social · 14/06/2025
Wanna scale your feed-forward Gaussian Splatting model to 4K resolution? Come check out our #CVPR2025 poster PanSplat today 10:30–12:30 (June 14) at ExHall D, Poster #74!
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Reposted by Haofei Xu
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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Haofei Xu @haofeixu.bsky.social · 05/06/2025
Excited to present our #CVPR2025 paper DepthSplat next week! DepthSplat is a feed-forward model that achieves high-quality Gaussian reconstruction and view synthesis in just 0.6 seconds. Looking forward to great conversations at the conference!
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Reposted by Haofei Xu
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 Haofei Xu
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 Haofei Xu
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 Haofei Xu
Andreas Geiger @andreasgeiger.bsky.social · 24/04/2025
🏠 Introducing DepthSplat: a framework that connects Gaussian splatting with single- and multi-view depth estimation. This enables robust depth modeling and high-quality view synthesis with state-of-the-art results on ScanNet, RealEstate10K, and DL3DV. 🔗 haofeixu.github.io/depthsplat/
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Reposted by Haofei Xu
Andreas Geiger @andreasgeiger.bsky.social · 23/04/2025
Personal programs for ICLR 25 @iclr-conf.bsky.social are now available at www.scholar-inbox.com. Enjoy!
scholar-inbox.com
Scholar Inbox
Scholar Inbox is a personal paper recommender which enables researchers to stay up-to-date with the most relevant progress in their field based on their personal research interests. Scholar Inbox is f...
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Reposted by Haofei Xu
Haiwen Huang @haiwen-huang.bsky.social · 22/04/2025
Excited to introduce LoftUp! A strong (than ever) and lightweight feature upsampler for vision encoders that can boost performance on dense prediction tasks by 20%–100%! Easy to plug into models like DINOv2, CLIP, SigLIP — simple design, big gains. Try it out! github.com/andrehuang/l...
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Reposted by Haofei Xu
Kashyap Chitta @kashyap7x.bsky.social · 17/03/2025
🐎 Centaur, our first foray into test-time training for end-to-end driving. No retraining needed, just plug-and-play at deployment given a trained model. Also, theoretically nearly no overhead in latency with some clever use of buffers. Surprising how effective this is! arxiv.org/abs/2503.11650
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Reposted by Haofei Xu
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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