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Yap-Peng Tan
Researcher at Nanyang Technological University
Publications - 296
Citations - 9430
Yap-Peng Tan is an academic researcher from Nanyang Technological University. The author has contributed to research in topics: Facial recognition system & Feature extraction. The author has an hindex of 47, co-authored 290 publications receiving 8521 citations. Previous affiliations of Yap-Peng Tan include Fudan University & Intel.
Papers
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Proceedings ArticleDOI
Discriminative Deep Metric Learning for Face Verification in the Wild
Junlin Hu,Jiwen Lu,Yap-Peng Tan +2 more
TL;DR: The proposed DDML trains a deep neural network which learns a set of hierarchical nonlinear transformations to project face pairs into the same feature subspace, under which the distance of each positive face pair is less than a smaller threshold and that of each negative pair is higher than a larger threshold.
Journal ArticleDOI
Neighborhood repulsed metric learning for kinship verification
TL;DR: This paper proposes a new neighborhood repulsed metric learning (NRML) method for kinship verification, and proposes a multiview NRM-L method to seek a common distance metric to make better use of multiple feature descriptors to further improve the verification performance.
Journal ArticleDOI
Color filter array demosaicking: new method and performance measures
Wenmiao Lu,Yap-Peng Tan +1 more
TL;DR: The proposed demosaicking method consists of an interpolation step that estimates missing color values by exploiting spatial and spectral correlations among neighboring pixels, and a post-processing step that suppresses noticeable demosaicks artifacts by adaptive median filtering.
Journal ArticleDOI
Discriminative Multimanifold Analysis for Face Recognition from a Single Training Sample per Person
Jiwen Lu,Yap-Peng Tan,Gang Wang +2 more
TL;DR: This paper proposes a novel discriminative multimanifold analysis (DMMA) method by learning discrim inative features from image patches by partitioning each enrolled face image into several nonoverlapping patches to form an image set for each sample per person.
Journal ArticleDOI
Discriminative Deep Metric Learning for Face and Kinship Verification
Jiwen Lu,Junlin Hu,Yap-Peng Tan +2 more
TL;DR: A discriminative deep multi-metric learning method to jointly learn multiple neural networks, under which the correlation of different features of each sample is maximized, and the distance of each positive pair is reduced and that of each negative pair is enlarged.