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A Dataset-Dispersion Perspective on Reconstruction Versus Recognition in Single-View 3D Reconstruction Networks.

, , , , and . 3DV, page 1331-1340. IEEE, (2021)

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FoldingNet: Point Cloud Auto-encoder via Deep Grid Deformation, , , and . (2017)cite arxiv:1712.07262Comment: Accepted as a spotlight paper in CVPR'18.Recognizing Eating Gestures Using Context Dependent Hidden Markov Models., , and . CHASE, page 248-253. IEEE Computer Society, (2016)Assessing the Accuracy of a Wrist Motion Tracking Method for Counting Bites Across Demographic and Food Variables., , , and . IEEE J. Biomed. Health Informatics, 21 (3): 599-606 (2017)FoldingNet: Interpretable Unsupervised Learning on 3D Point Clouds., , , and . CoRR, (2017)The Impact of Quantity of Training Data on Recognition of Eating Gestures., , and . CoRR, (2018)A Dataset-Dispersion Perspective on Reconstruction Versus Recognition in Single-View 3D Reconstruction Networks., , , , and . 3DV, page 1331-1340. IEEE, (2021)OpenEDS: Open Eye Dataset., , , , , and . CoRR, (2019)Dataset for Eye Tracking on a Virtual Reality Platform., , , , , , and . ETRA, page 13:1-13:10. ACM, (2020)SecNet: Semantic Eye Completion in Implicit Field., , , , and . Gaze Meets ML, volume 210 of Proceedings of Machine Learning Research, page 241-256. PMLR, (2022)Neighbors Do Help: Deeply Exploiting Local Structures of Point Clouds., , , and . CoRR, (2017)