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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

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Mackenzie Weygandt Mathis, PhD

22,478 subscribers

67,207 Aufrufe • vor 3 Jahren •via X (Twitter)

#ComputerVision#CVPR2023
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6 Kommentare

Profilbild von Mackenzie Mathis, PhD
Mackenzie Mathis, PhDvor 3 Jahren

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!

Profilbild von Dan Biderman
Dan Bidermanvor 3 Jahren

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

Profilbild von Niamato Inc
Niamato Incvor 3 Jahren

@zhoumu53 @LStoffl Remarkable

Profilbild von Elvira De Leonibus
Elvira De Leonibusvor 3 Jahren

@zhoumu53 @LStoffl @DilettaCavezza

Profilbild von Rui-Di Wang
Rui-Di Wangvor 3 Jahren

@zhoumu53 @LStoffl So cool!

Profilbild von Felipe Arruda Moura
Felipe Arruda Mouravor 3 Jahren

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

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