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Conference Paper: OmniBind: Large-scale Omni Multimodal Representation via Binding Spaces

TitleOmniBind: Large-scale Omni Multimodal Representation via Binding Spaces
Authors
Issue Date24-Apr-2025
Persistent Identifierhttp://hdl.handle.net/10722/362180

 

DC FieldValueLanguage
dc.contributor.authorWang, Zehan-
dc.contributor.authorZiang, Zhang-
dc.contributor.authorHong, Minjie-
dc.contributor.authorHang, Zhang-
dc.contributor.authorLiu, Luping-
dc.contributor.authorHuang, Rongjie-
dc.contributor.authorXize, Cheng-
dc.contributor.authorJi, Shengpeng-
dc.contributor.authorTao, Jin-
dc.contributor.authorZhao, Hengshuang-
dc.contributor.authorZhou, Zhao-
dc.date.accessioned2025-09-19T00:33:34Z-
dc.date.available2025-09-19T00:33:34Z-
dc.date.issued2025-04-24-
dc.identifier.urihttp://hdl.handle.net/10722/362180-
dc.languageeng-
dc.relation.ispartofThe 13th International Conference on Learning Representations (ICLR) (24/04/2025-28/04/2025, Singapore)-
dc.titleOmniBind: Large-scale Omni Multimodal Representation via Binding Spaces-
dc.typeConference_Paper-

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