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Please use this identifier to cite or link to this item: https://doi.org/10.1109/LRA.2019.2927948
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dc.titlePointAtrousNet: Point Atrous Convolution for Point Cloud Analysis
dc.contributor.authorPan, Liang
dc.contributor.authorWang, Pengfei
dc.contributor.authorChew, Chee-Meng
dc.date.accessioned2020-05-14T02:10:43Z
dc.date.available2020-05-14T02:10:43Z
dc.date.issued2019-10-01
dc.identifier.citationPan, Liang, Wang, Pengfei, Chew, Chee-Meng (2019-10-01). PointAtrousNet: Point Atrous Convolution for Point Cloud Analysis. IEEE ROBOTICS AND AUTOMATION LETTERS 4 (4) : 4035-4041. ScholarBank@NUS Repository. https://doi.org/10.1109/LRA.2019.2927948
dc.identifier.issn23773766
dc.identifier.issn23773774
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/168134
dc.language.isoen
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.sourceElements
dc.subjectScience & Technology
dc.subjectTechnology
dc.subjectRobotics
dc.subjectDeep learning in robotics and automation
dc.subjectcomputer vision for other robotic applications
dc.subjectNETWORKS
dc.typeArticle
dc.date.updated2020-05-13T08:26:30Z
dc.contributor.departmentCIVIL AND ENVIRONMENTAL ENGINEERING
dc.contributor.departmentMECHANICAL ENGINEERING
dc.contributor.departmentTEMASEK LABORATORIES
dc.description.doi10.1109/LRA.2019.2927948
dc.description.sourcetitleIEEE ROBOTICS AND AUTOMATION LETTERS
dc.description.volume4
dc.description.issue4
dc.description.page4035-4041
dc.published.statePublished
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