ActAr : Actor-driven pose embeddings for video action recognition

Soufiane Lamghari, Guillaume-Alexandre Bilodeau and Nicolas Saunier

Paper (2022)

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Department:	Department of Computer Engineering and Software Engineering Department of Civil, Geological and Mining Engineering
Research Center:	LITIV - Images and video processing laboratory
ISBN:	9781665489399
PolyPublie URL:	https://publications.polymtl.ca/51258/
Conference Title:	IEEE/CVF Computer Vision and Pattern Recognition Workshops (CVPRW 2022)
Conference Location:	New Orleans, Louisiana
Conference Date(s):	2022-06-19 - 2022-06-24
Publisher:	IEEE
DOI:	10.1109/cvprw56347.2022.00055
Official URL:	https://doi.org/10.1109/cvprw56347.2022.00055
Date Deposited:	18 Apr 2023 14:58
Last Modified:	02 Oct 2024 10:45

Cite in APA 7:	Lamghari, S., Bilodeau, G.-A., & Saunier, N. (2022, June). ActAr : Actor-driven pose embeddings for video action recognition [Paper]. IEEE/CVF Computer Vision and Pattern Recognition Workshops (CVPRW 2022), New Orleans, Louisiana. https://doi.org/10.1109/cvprw56347.2022.00055
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