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Conference Paper: Slot-VPS: Object-centric Representation Learning for Video Panoptic Segmentation

TitleSlot-VPS: Object-centric Representation Learning for Video Panoptic Segmentation
Authors
Issue Date2022
PublisherIEEE.
Citation
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), p. 3083-3093 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/320634
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorZhou, YI-
dc.contributor.authorZhang, HUI-
dc.contributor.authorLee, HANA-
dc.contributor.authorSun, SHUYANG-
dc.contributor.authorLi, PINGJUN-
dc.contributor.authorZhu, YANGGUANG-
dc.contributor.authorYoo, BYUNGLN-
dc.contributor.authorQi, X-
dc.contributor.authorHan, JAE-JOON-
dc.date.accessioned2022-10-21T07:57:01Z-
dc.date.available2022-10-21T07:57:01Z-
dc.date.issued2022-
dc.identifier.citation2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), p. 3083-3093-
dc.identifier.urihttp://hdl.handle.net/10722/320634-
dc.languageeng-
dc.publisherIEEE. -
dc.relation.ispartof2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)-
dc.rights2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Copyright © IEEE.-
dc.rights©20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.titleSlot-VPS: Object-centric Representation Learning for Video Panoptic Segmentation-
dc.typeConference_Paper-
dc.identifier.emailQi, X: xjqi@eee.hku.hk-
dc.identifier.authorityQi, X=rp02666-
dc.identifier.doi10.1109/CVPR52688.2022.00310-
dc.identifier.hkuros340420-
dc.identifier.spage3083-
dc.identifier.epage3093-
dc.identifier.isiWOS:000867754203034-

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