Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection from Point Clouds

Research output: Journal article publication › Conference article › Academic research › peer-review

Original language	English
Pages (from-to)	8417-8427
Journal	Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
DOIs	https://doi.org/10.1109/CVPR52688.2022.00823
Publication status	Accepted/In press - Jun 2022

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@article{2c0c992513ca4d2fbe87ccc0ecaca156,

title = "Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection from Point Clouds",

author = "Chenhang He and Ruihuang Li and Shuai Li and Lei Zhang",

year = "2022",

month = jun,

doi = "10.1109/CVPR52688.2022.00823",

language = "English",

pages = "8417--8427",

journal = "Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition",

issn = "1063-6919",

publisher = "IEEE Computer Society",

}

TY - JOUR

T1 - Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection from Point Clouds

AU - He, Chenhang

AU - Li, Ruihuang

AU - Li, Shuai

AU - Zhang, Lei

PY - 2022/6

Y1 - 2022/6

U2 - 10.1109/CVPR52688.2022.00823

DO - 10.1109/CVPR52688.2022.00823

M3 - Conference article

SN - 1063-6919

SP - 8417

EP - 8427

JO - Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

JF - Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

ER -