
Guofeng(Ryan) Mei
@CvGfmei
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Researcher@FBK|Ph.D@University of Technology Sydney | Visiting Ph.D student@University of Trento | Master@Wuhan University
Via Sommarive 18, 38123 Trento
Joined January 2020
RT @TeV_FBK: 💡The result? Generalized & transferable 3D representations with strong performance on downstream tasks. Paper: .
github.com
PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling - LAB123-tech/PointGAC
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RT @chaosflutt28952: 台大李宏毅老师的这个 100 分钟的 AI Agent 教学视频非常值得一看。我看完后,之前一些了解但似懂非懂的概念变得更清晰了。如果你对 AI Agent 究竟是什么,学术界大概在关心什么不清楚但想了解,非常推荐一看。. 李老师讲解清….
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RT @TeV_FBK: 📄 Join us at 3DV in Singapore next week!.🔗 Paper: 👥 Authors: Weijie Wang, @CvGfmei, Jian Zhang, Sebe,….
arxiv.org
Point cloud registration approaches often fail when the overlap between point clouds is low due to noisy point correspondences. This work introduces a novel cross-attention mechanism tailored for...
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Call for paper: Recent Advancements in 3D Imaging #mdpijimaging via @J_Imaging_MDPI.
mdpi.com
Special Issue in journal Journal of Imaging: Recent Advancements in 3D Imaging
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RT @YimingWang107: Final day of @CVPR but the show is not finished yet!. 🌟 @guofeng me, and @Poiex from @FBK_research are presenting GeoZe….
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RT @YimingWang107: One way to reduce training effort is via integrating prior knowledge📚. Our @CVPR Highlight GeoZe🥟shows how geometrical….
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Excited to announce that our paper, "Unsupervised Point Cloud Representation Learning by Clustering and Neural Rendering," has been accepted for publication in IJCV(. The code will be released soon. Thanks to all co-authors for their contributions.
link.springer.com
International Journal of Computer Vision - Data augmentation has contributed to the rapid advancement of unsupervised learning on 3D point clouds. However, we argue that data augmentation is not...
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RT @maximelabonne: 🧑🔬👷 The LLM Course is now complete!. I added the LLM Engineer Roadmap, a list of high-quality resources to build LLM-po….
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