PointGADM: geometry acquainted deep model for 3D point cloud analysis

Show simple item record

dc.contributor.author Kumari, Seema
dc.contributor.author Patel, Samay
dc.contributor.author Muthalagu, Raja
dc.contributor.author Raman, Shanmuganathan
dc.contributor.other 27th International Conference on Pattern Recognition (ICPR 2024)
dc.coverage.spatial India
dc.date.accessioned 2024-10-30T10:20:32Z
dc.date.available 2024-10-30T10:20:32Z
dc.date.issued 2024-12-01
dc.identifier.citation Kumari, seema; Patel, Samay; Muthalagu, Raja and Raman, Shanmuganathan, "PointGADM: geometry acquainted deep model for 3D point cloud analysis", in the the 27th International Conference on Pattern Recognition (ICPR 2024), Kolkata, IN, Dec. 1-5, 2024.
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/10682
dc.description.statementofresponsibility by Seema Kumari, Samay Patel, Raja Muthalagu and Shanmuganathan Raman
dc.language.iso en_US
dc.title PointGADM: geometry acquainted deep model for 3D point cloud analysis
dc.type Conference Paper


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

Search Digital Repository


Browse

My Account