Asynchronous events-based panoptic segmentation using graph mixer neural network

Sanket Kachole; Yusra Alkendi; Fariborz Baghaei Naeini; Dimitrios Makris; Yahya Zweiri

doi:10.1109/CVPRW59228.2023.00429

Asynchronous events-based panoptic segmentation using graph mixer neural network

Sanket Kachole
, Yusra Alkendi
, Fariborz Baghaei Naeini
, Dimitrios Makris
, Yahya Zweiri

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Downloads (Pure)

Original language	English
Title of host publication	This work was supported by Kingston University. Published in: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). Piscataway, US: Institute of Electrical and Electronics Engineers, Inc. ISSN 2160-7508 ISBN 9798350302509. Organising Body: Institute of Electrical and Electronics Engineers, Inc. Organising Body: Institute of Electrical and Electronics Engineers, Inc.
DOIs	https://doi.org/10.1109/CVPRW59228.2023.00429
Publication status	Published - Jun 2023

Bibliographical note

Note: This work was supported by Kingston University. Published in: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). Piscataway, US: Institute of Electrical and Electronics Engineers, Inc. ISSN 2160-7508 ISBN 9798350302509.

Organising Body: Institute of Electrical and Electronics Engineers, Inc.

Organising Body: Institute of Electrical and Electronics Engineers, Inc.

Keywords

Computer science and informatics

Access to Document

10.1109/CVPRW59228.2023.00429

Kachole-S-53736-AAMAccepted author manuscript, 4.9 MBLicence: Unspecified

https://doi.org/10.1109/CVPRW59228.2023.00429

Asynchronous events-based panoptic segmentation using graph mixer neural network
Kachole, S., Alkendi, Y., Baghaei Naeini, F., Makris, D. & Zweiri, Y., Jun 2023.
Research output: Contribution to conference › Paper › peer-review

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Cite this

Kachole, S., Alkendi, Y., Baghaei Naeini, F., Makris, D., & Zweiri, Y. (2023). Asynchronous events-based panoptic segmentation using graph mixer neural network. In This work was supported by Kingston University. Published in: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). Piscataway, US: Institute of Electrical and Electronics Engineers, Inc. ISSN 2160-7508 ISBN 9798350302509. Organising Body: Institute of Electrical and Electronics Engineers, Inc. Organising Body: Institute of Electrical and Electronics Engineers, Inc. https://doi.org/10.1109/CVPRW59228.2023.00429

Kachole, Sanket ; Alkendi, Yusra ; Baghaei Naeini, Fariborz et al. / Asynchronous events-based panoptic segmentation using graph mixer neural network. This work was supported by Kingston University. Published in: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). Piscataway, US: Institute of Electrical and Electronics Engineers, Inc. ISSN 2160-7508 ISBN 9798350302509. Organising Body: Institute of Electrical and Electronics Engineers, Inc. Organising Body: Institute of Electrical and Electronics Engineers, Inc.. 2023.

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title = "Asynchronous events-based panoptic segmentation using graph mixer neural network",

keywords = "Computer science and informatics",

author = "Sanket Kachole and Yusra Alkendi and \{Baghaei Naeini\}, Fariborz and Dimitrios Makris and Yahya Zweiri",

note = "Note: This work was supported by Kingston University. Published in: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). Piscataway, US: Institute of Electrical and Electronics Engineers, Inc. ISSN 2160-7508 ISBN 9798350302509. Organising Body: Institute of Electrical and Electronics Engineers, Inc. Organising Body: Institute of Electrical and Electronics Engineers, Inc.",

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language = "English",

booktitle = "This work was supported by Kingston University. Published in: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). Piscataway, US: Institute of Electrical and Electronics Engineers, Inc. ISSN 2160-7508 ISBN 9798350302509. Organising Body: Institute of Electrical and Electronics Engineers, Inc. Organising Body: Institute of Electrical and Electronics Engineers, Inc.",

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Kachole, S, Alkendi, Y, Baghaei Naeini, F, Makris, D & Zweiri, Y 2023, Asynchronous events-based panoptic segmentation using graph mixer neural network. in This work was supported by Kingston University. Published in: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). Piscataway, US: Institute of Electrical and Electronics Engineers, Inc. ISSN 2160-7508 ISBN 9798350302509. Organising Body: Institute of Electrical and Electronics Engineers, Inc. Organising Body: Institute of Electrical and Electronics Engineers, Inc.. https://doi.org/10.1109/CVPRW59228.2023.00429

Asynchronous events-based panoptic segmentation using graph mixer neural network. / Kachole, Sanket; Alkendi, Yusra; Baghaei Naeini, Fariborz et al.
This work was supported by Kingston University. Published in: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). Piscataway, US: Institute of Electrical and Electronics Engineers, Inc. ISSN 2160-7508 ISBN 9798350302509. Organising Body: Institute of Electrical and Electronics Engineers, Inc. Organising Body: Institute of Electrical and Electronics Engineers, Inc.. 2023.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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BT - This work was supported by Kingston University. Published in: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). Piscataway, US: Institute of Electrical and Electronics Engineers, Inc. ISSN 2160-7508 ISBN 9798350302509. Organising Body: Institute of Electrical and Electronics Engineers, Inc. Organising Body: Institute of Electrical and Electronics Engineers, Inc.

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Kachole S, Alkendi Y, Baghaei Naeini F, Makris D, Zweiri Y. Asynchronous events-based panoptic segmentation using graph mixer neural network. In This work was supported by Kingston University. Published in: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). Piscataway, US: Institute of Electrical and Electronics Engineers, Inc. ISSN 2160-7508 ISBN 9798350302509. Organising Body: Institute of Electrical and Electronics Engineers, Inc. Organising Body: Institute of Electrical and Electronics Engineers, Inc.. 2023 doi: 10.1109/CVPRW59228.2023.00429