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[NeurIPS 2022] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

Home Page: https://arxiv.org/abs/2203.12602

License: Other

Shell 7.51% Python 92.49%

videomae's Introduction

๐Ÿ‘‹ Hey there, I'm MaYue(้ฉฌ่ทƒ)!

Welcome to my GitHub. Currently, I am a incoming Phd student at HKUST. My research lies at the intersection of computer vision and machine learning โ€“ with a special focus on "video generation", "video editing". If you have any questions on my projects, please feel free to send me an email. Check my homepage to learn more about me.

๐Ÿ‘ช Follow Family:

Follow-Your-Pose ๐Ÿ’ƒ๐Ÿป๐Ÿ’ƒ๐Ÿป: Pose-Guided video generation

Follow-Your-Handle โœ๐Ÿปโœ๐Ÿป: Controllable video editing

Follow-Your-Click ๐Ÿ’ป๐Ÿ’ป: Regional image animation

Follow-Your-Emoji ๐Ÿคช๐Ÿคช: Freestyle portrait animation

๐Ÿš€ Total Visitors:

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