Disentangled variational representation for heterogeneous face recognition

X Wu, H Huang, VM Patel, R He, Z Sun - … of the AAAI conference on artificial …, 2019 - aaai.org
Visible (VIS) to near infrared (NIR) face matching is a challenging problem due to the
significant domain discrepancy between the domains and a lack of sufficient data for training …

[PDF][PDF] Disentangled Variational Representation for Heterogeneous Face Recognition

X Wu, H Huang, VM Patel, R He, Z Sun - 2019 - cdn.aaai.org
Visible (VIS) to near infrared (NIR) face matching is a challenging problem due to the
significant domain discrepancy between the domains and a lack of sufficient data for training …

Disentangled Variational Representation for Heterogeneous Face Recognition

X Wu, H Huang, VM Patel, R He, Z Sun - arXiv e-prints, 2018 - ui.adsabs.harvard.edu
Visible (VIS) to near infrared (NIR) face matching is a challenging problem due to the
significant domain discrepancy between the domains and a lack of sufficient data for training …

Disentangled Variational Representation for Heterogeneous Face Recognition

X Wu, H Huang, VM Patel, R He, Z Sun - Proceedings of the AAAI …, 2019 - cir.nii.ac.jp
抄録< jats: p> Visible (VIS) to near infrared (NIR) face matching is a challenging problem
due to the significant domain discrepancy between the domains and a lack of sufficient data …

Disentangled variational representation for heterogeneous face recognition

X Wu, H Huang, VM Patel, R He, Z Sun - Proceedings of the Thirty-Third …, 2019 - dl.acm.org
Visible (VIS) to near infrared (NIR) face matching is a challenging problem due to the
significant domain discrepancy between the domains and a lack of sufficient data for training …

[PDF][PDF] Disentangled Variational Representation for Heterogeneous Face Recognition

X Wu, H Huang, VM Patel, R He, Z Sun - 2019 - scholar.archive.org
Visible (VIS) to near infrared (NIR) face matching is a challenging problem due to the
significant domain discrepancy between the domains and a lack of sufficient data for training …

[PDF][PDF] Disentangled Variational Representation for Heterogeneous Face Recognition

X Wu, H Huang, VM Patel, R He, Z Sun - 2019 - alfredxiangwu.github.io
Visible (VIS) to near infrared (NIR) face matching is a challenging problem due to the
significant domain discrepancy between the domains and a lack of sufficient data for training …

Disentangled Variational Representation for Heterogeneous Face Recognition

X Wu, H Huang, VM Patel, R He, Z Sun - Proceedings of the AAAI …, 2019 - ojs.aaai.org
Visible (VIS) to near infrared (NIR) face matching is a challenging problem due to the
significant domain discrepancy between the domains and a lack of sufficient data for training …

[PDF][PDF] Disentangled Variational Representation for Heterogeneous Face Recognition

X Wu, H Huang, VM Patel, R He, Z Sun - 2019 - academia.edu
Visible (VIS) to near infrared (NIR) face matching is a challenging problem due to the
significant domain discrepancy between the domains and a lack of sufficient data for training …

Disentangled Variational Representation for Heterogeneous Face Recognition

X Wu, H Huang, VM Patel, R He, Z Sun - arXiv preprint arXiv:1809.01936, 2018 - arxiv.org
Visible (VIS) to near infrared (NIR) face matching is a challenging problem due to the
significant domain discrepancy between the domains and a lack of sufficient data for training …