RGL-NET: a Recurrent Graph Learning framework for progressive part assembly

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dc.contributor.author Harish, Abhinav Narayan
dc.contributor.author Nagar, Rajendra
dc.contributor.author Raman, Shanmuganathan
dc.contributor.other IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2022)
dc.coverage.spatial Waikoloa, US
dc.date.accessioned 2021-10-08T05:30:47Z
dc.date.available 2021-10-08T05:30:47Z
dc.date.issued 04-01-22
dc.identifier.citation Harish, Abhinav Narayan; Nagar, Rajendra and Raman, Shanmuganathan, “RGL-NET: a Recurrent Graph Learning framework for progressive part assembly”, in the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2022), Waikoloa, US, Jan. 4-8, 2022. en_US
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/6961
dc.description.statementofresponsibility by Abhinav Narayan Harish, Rajendra Nagar, Shanmuganathan Raman
dc.language.iso en_US en_US
dc.title RGL-NET: a Recurrent Graph Learning framework for progressive part assembly en_US
dc.type Conference Paper en_US


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