Self-supervised 3D Behavior Representation Learning Based on Homotopic Hyperbolic Embedding

Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/27535

Title:	Self-supervised 3D Behavior Representation Learning Based on Homotopic Hyperbolic Embedding
Authors:	Chen, J Jin, Z Wang, Q Meng, H
Keywords:	spatio-temporal interaction;contrastive learning;Poincaré model;hyperbolic space;homotopic mapping
Issue Date:	2-Nov-2023
Publisher:	Institute of Electrical and Electronics Engineers (IEEE)
Citation:	Chen, J. et al. (2023) 'Self-supervised 3D Behavior Representation Learning Based on Homotopic Hyperbolic Embedding', IEEE Transactions on Image Processing, 0 (early access), pp. 1 - 15. doi: 10.1109/tip.2023.3328230.
URI:	https://bura.brunel.ac.uk/handle/2438/27535
DOI:	https://doi.org/10.1109/tip.2023.3328230
ISSN:	1057-7149
Other Identifiers:	ORCID iD: Jinghong Chen https://orcid.org/0000-0001-8650-790X ORCID iD: Qicong Wang https://orcid.org/0000-0001-7324-0433 ORCID iD: Hongying Meng https://orcid.org/0000-0002-8836-1382
Appears in Collections:	Dept of Electronic and Electrical Engineering Research Papers

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