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Daniel Cremers

@dcremers.bsky.social
907 followers 819 following 7 posts

Professor of Computer Vision and AI at TU Munich, Director of the Munich Center for Machine Learning mcml.ai and of ELLIS Munich ellismunich.ai cvg.cit.tum.de

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Daniel Cremers @dcremers.bsky.social · 20/05/2026
Was war der wahre Durchbruch der KI? Und hat Deutschland den Zug bereits verpasst? Diese und andere Fragen diskutiere ich mit Leonard Schmedding: youtu.be/FvSRHiwQN0w
youtu.be
KI-Forscher: Vergiss ChatGPT, DAS ist der nächste Durchbruch! Weltmodelle erklärt (Daniel Cremers)
YouTube video by Everlast AI
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Lu Sang @lu-sang.bsky.social · 23/04/2025
🤗 I’m excited to share our recent work: TwoSquared: 4D Reconstruction from 2D Image Pairs. 🔥 Our method produces geometry, texture-consistent, and physically plausible 4D reconstructions 📰 Check our project page sangluisme.github.io/TwoSquared/ ❤️ @ricmarin.bsky.social @dcremers.bsky.social
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Multiscale AI @ ICLR 2025 @multiscaleai.bsky.social · 05/05/2025
The ICLR 2025 MLMP Best Paper Award, along with 2k GPU-hours from Nebius, goes to "On Incorporating Scale into Graph Networks"! Congratulations, Christian Koke, Yuesong Shen, @abhi-rf.bsky.social, Marvin Eisenberger, @pseudomanifold.topology.rocks, Michael M. Bronstein, @dcremers.bsky.social!
Standard graph neural networks assign vastly different latent embeddings to graphs describing the same physical system at different resolution scales. This precludes consistency in applications and prevents generalization between scales as would fundamentally be needed in many scientific applications. We uncover the underlying obstruction, investigate its origin and show how to overcome it.
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Dominik Schnaus @schnaus.bsky.social · 03/06/2025
Can we match vision and language representations without any supervision or paired data? Surprisingly, yes!  Our #CVPR2025 paper with @neekans.bsky.social and @dcremers.bsky.social shows that the pairwise distances in both modalities are often enough to find correspondences. ⬇️ 1/4
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ELLIS @ellis.eu · 02/05/2025
💡Explore the insights from the ELLIS ML & Computer Vision Workshop (Apr 1-4, 2025) in Bad Teinach 🌲 Leading researchers of the field gathered to explore Vision-Language Models, 3D reconstruction, and links to neuroscience - advancing the future of vision & ML. 👉 Read more: ellis.eu/news/insight...
ellis.eu
Insights on the ELLIS Program Workshop on Machine Learning and Computer Vision
The ELLIS mission is to create a diverse European network that promotes research excellence and advances breakthroughs in AI, as well as a pan-European PhD program to educate the next generation of AI...
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Simon Weber @simwebertum.bsky.social · 24/03/2025
Very glad to announce that our "Finsler Multi-Dimensional Scaling" paper, accepted at #CVPR2025, is now on Arxiv! arxiv.org/abs/2503.18010
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Felix Wimbauer @fwimbauer.bsky.social · 23/04/2025
Check out our latest recent #CVPR2025 paper AnyCam, a fast method for pose estimation in casual videos! 1️⃣ Can be directly trained on casual videos without the need for 3D annotation. 2️⃣ Based around a feed-forward transformer and light-weight refinement. Code and more info: ⏩ fwmb.github.io/anycam/
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Zhenjun Zhao @ericzzj.bsky.social · 02/04/2025
AnyCam: Learning to Recover Camera Poses and Intrinsics from Casual Videos @fwimbauer.bsky.social, Weirong Chen, Dominik Muhle, Christian Rupprecht, @dcremers.bsky.social tl;dr: uncertaintybased loss+pre-trained depth and flow networks+test-time trajectory refinement arxiv.org/abs/2503.23282
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Visual Inference Lab @visinf.bsky.social · 04/04/2025
Work by: @olvrhhn.bsky.social *, @christophreich.bsky.social *, @neekans.bsky.social, @dcremers.bsky.social, Christian Rupprecht, and @stefanroth.bsky.social Paper: arxiv.org/abs/2504.01955 Project Page: visinf.github.io/cups Code: github.com/visinf/cups MCML Blogpost: mcml.ai/news/2025-04...
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Zhenjun Zhao @ericzzj.bsky.social · 23/04/2025
Back on Track: Bundle Adjustment for Dynamic Scene Reconstruction Weirong Chen, @ganlinzhang.xyz, @fwimbauer.bsky.social, Rui Wang, @neekans.bsky.social, Andrea Vedaldi, @dcremers.bsky.social tl;dr: learning-based 3D point tracker decouples camera and object-based motion arxiv.org/abs/2504.14516
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Zhenjun Zhao @ericzzj.bsky.social · 24/04/2025
PRaDA: Projective Radial Distortion Averaging Daniil Sinitsyn, @linushn.bsky.social, @dcremers.bsky.social tl;dr: operate in Projective space->geometry is unique up to a homography arxiv.org/abs/2504.16499
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Daniel Cremers @dcremers.bsky.social · 13/03/2025
We are thrilled to have 12 papers accepted to #CVPR2025. Thanks to all our students and collaborators for this great achievement! For more details check out cvg.cit.tum.de
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Multiscale AI @ ICLR 2025 @multiscaleai.bsky.social · 08/03/2025
🚀 Excited to kick off our @iclr-conf.bsky.social 2025 Machine Learning Multiscale Processes Workshop contributed paper series! 🥳 📝 On the Successful Incorporation of Scale into Graph Neural Networks 📅 Join us on April 27 at #ICLR2025! ⏳ Early reg. deadline: March 15 #AI #ML #ICLR
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Lu Sang @lu-sang.bsky.social · 03/03/2025
🥳 Thrilled to announce that our work, "4Deform: Neural Surface Deformation for Robust Shape Interpolation," has been accepted to #CVPR2025 🙌 💻 Check our project page: 4deform.github.io 👏 Great thanks to my amazing co-authors. @ricmarin.bsky.social @dongliangcao.bsky.social @dcremers.bsky.social
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Daniel Cremers @dcremers.bsky.social · 07/02/2025
Exciting discussions on the future of AI at the Paris AI Action Summit with French Minister of Science Philippe Baptiste and many leading AI researchers
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Serge Belongie @serge.belongie.com · 27/01/2025
Including commentary from @claireve.bsky.social, @dcremers.bsky.social, Yair Weiss, @gulvarol.bsky.social, Bernhard Schölkopf, and @lawrennd.bsky.social
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Lu Sang @lu-sang.bsky.social · 23/01/2025
🥳Thrilled to share our work, "Implicit Neural Surface Deformation with Explicit Velocity Fields", accepted at #ICLR2025 👏 code is available at: github.com/Sangluisme/I... 😊Huge thanks to my amazing co-authors. @dongliangcao.bsky.social @dcremers.bsky.social 👏Special thanks to @ricmarin.bsky.social
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Daniel Cremers @dcremers.bsky.social · 16/01/2025
Indeed - everyone had a blast - thank you all for the great talks, discussions and Ski/snowboarding!
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