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Zhenzhen Weng
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Zhenzhen Weng

@JenWeng4
Perception@Waymo. PhD @Stanford.BSCS@CMU🚀. 💻 Ex-intern @Waymo @Adobe.
Palo Alto, CA
zzweng.github.io
Joined June 2021
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  • user avatar
    Zhenzhen Weng
    @JenWeng4
    Jun 18, 2024
    🌟Just completed my PhD at @Stanford! 🌟 A huge thanks to my advisor @yeung_levy, my family and friends, committee and collaborators, and everyone who supported me along the way. Excited to start my next chapter at @Waymo, working on foundation models for self-driving cars!
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    Zhenzhen Weng
    @JenWeng4
    Jan 23, 2024
    Check out our recent work on generalizable human NeRF prediction! Arxiv: arxiv.org/abs/2401.12175 Project page: zzweng.github.io/humanlrm/
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    AK
    @_akhaliq
    Jan 23, 2024
    Single-View 3D Human Digitalization with Large Reconstruction Models paper page: huggingface.co/papers/2401.12… introduce Human-LRM, a single-stage feed-forward Large Reconstruction Model designed to predict human Neural Radiance Fields (NeRF) from a single image. Our approach
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    Zhenzhen Weng
    @JenWeng4
    Jun 16, 2023
    Pls stop at #CVPR2023 poster *Tue AM 110* to learn about GC-KPL: a novel method for learning 3D human keypoints from point clouds w/o human labels. Project: cvpr2023.thecvf.com/virtual/2023/p… Joint work w/ awesome folks @gorban Jingwei Ji, @MahyarNajibi, Yin Zhou, Dragomir Anguelov, @Waymo
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    Alexander Gorban
    @gorban
    Jun 2, 2023
    Check out our #CVPR2023 paper on 3D Human Keypoints Estimation From Point Clouds in the Wild Without Human Labels youtu.be/vXGPW2nDHZ4 Huge shout out to @JenWeng4 who interned in our team last summer and did all the work!
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    Zhenzhen Weng
    @JenWeng4
    Jun 24, 2021
    Excited to present our work at #CVPR21. Holistic 3D Human and Scene Mesh Estimation from Single View Images. @syeung10 Paper: [arxiv.org/pdf/2012.01591…](arxiv.org/pdf/2012.01591…) Project: [zzweng.github.io/holistic_mesh/](zzweng.github.io/holistic_mesh/)
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    Zhenzhen Weng
    @JenWeng4
    Jun 24, 2021
    Excited to present our work at #CVPR2021. Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervision. @syeung10 Paper: [arxiv.org/abs/2104.01257](arxiv.org/abs/2104.01257) Project: [zzweng.github.io/longtail_segme…](zzweng.github.io/longtail_segme…)
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    arxiv.org
    Unsupervised Discovery of the Long-Tail in Instance Segmentation...
    Instance segmentation is an active topic in computer vision that is usually solved by using supervised learning approaches over very large datasets composed of object level masks. Obtaining such a...

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