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🚨Crowded scenes are notoriously difficult for #ComputerVision models. In our new work lead by Zhou Mu & Lucas Stoffl we developed a novel approach called BUCTD that is state-of-the-art on crowded 🐒🐠&🕺human pose estimation benchmarks!🔥 #CVPR2023 workshop

67,217 views • 3 years ago •via X (Twitter)

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Mackenzie Mathis, PhD's profile picture
Mackenzie Mathis, PhD3 years ago

If you’re at #CVPR2023 go check out @LStoffl presenting our accepted short form paper version of this TODAY! And sadly co-first author @zhoumu53 couldn’t get a CAN visa 🤬, so go support her work even if she can’t be there too!

Dan Biderman's profile picture
Dan Biderman3 years ago

@zhoumu53 @LStoffl Very cool model idea, and results! congrats.

Niamato Inc's profile picture
Niamato Inc3 years ago

@zhoumu53 @LStoffl Remarkable

Elvira De Leonibus's profile picture
Elvira De Leonibus3 years ago

@zhoumu53 @LStoffl @DilettaCavezza

Rui-Di Wang's profile picture
Rui-Di Wang3 years ago

@zhoumu53 @LStoffl So cool!

Felipe Arruda Moura's profile picture
Felipe Arruda Moura3 years ago

@zhoumu53 @LStoffl Fantastic! Have you already shared the github of that? Thanks!!

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