Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/243012
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dc.titleDSFNet: Dual Space Fusion Network for Occlusion-Robust 3D Dense Face Alignment
dc.contributor.authorLi, Heyuan
dc.contributor.authorWang, Bo
dc.contributor.authorCheng, Yu
dc.contributor.authorKankanhalli, Mohan
dc.contributor.authorTan, Robby Tantowi
dc.date.accessioned2023-07-11T03:13:16Z
dc.date.available2023-07-11T03:13:16Z
dc.date.issued2023-06-18
dc.identifier.citationLi, Heyuan, Wang, Bo, Cheng, Yu, Kankanhalli, Mohan, Tan, Robby Tantowi (2023-06-18). DSFNet: Dual Space Fusion Network for Occlusion-Robust 3D Dense Face Alignment. Computer Vision and Pattern Recognition (CVPR). ScholarBank@NUS Repository.
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/243012
dc.sourceElements
dc.typeConference Paper
dc.date.updated2023-07-10T10:42:06Z
dc.contributor.departmentDEAN'S OFFICE (SCHOOL OF COMPUTING)
dc.contributor.departmentDEAN'S OFFICE (YALE-NUS COLLEGE)
dc.contributor.departmentDEPARTMENT OF COMPUTER SCIENCE
dc.description.sourcetitleComputer Vision and Pattern Recognition (CVPR)
dc.published.statePublished
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