Synthesis of high-quality visible faces from polarimetric thermal faces using generative adversarial networks

H Zhang, BS Riggan, S Hu, NJ Short… - International Journal of …, 2019 - Springer
The large domain discrepancy between faces captured in polarimetric (or conventional)
thermal and visible domains makes cross-domain face verification a highly challenging …
被引用次数：102 相关文章

Synthesis of High-Quality Visible Faces from Polarimetric Thermal Faces using Generative Adversarial Networks

H Zhang, BS Riggan, S Hu, NJ Short… - International Journal of …, 2019 - dl.acm.org
The large domain discrepancy between faces captured in polarimetric (or conventional)
thermal and visible domains makes cross-domain face verification a highly challenging …

Synthesis of High-Quality Visible Faces from Polarimetric Thermal Faces using Generative Adversarial Networks.

H Zhang, BS Riggan, S Hu, NJ Short… - … Journal of Computer …, 2019 - search.ebscohost.com
The large domain discrepancy between faces captured in polarimetric (or conventional)
thermal and visible domains makes cross-domain face verification a highly challenging …

Synthesis of High-Quality Visible Faces from Polarimetric Thermal Faces using Generative Adversarial Networks

H Zhang, BS Riggan, S Hu, NJ Short… - International Journal of …, 2019 - go.gale.com
The large domain discrepancy between faces captured in polarimetric (or conventional)
thermal and visible domains makes cross-domain face verification a highly challenging …

Synthesis of High-Quality Visible Faces from Polarimetric Thermal Faces using Generative Adversarial Networks

H Zhang, BS Riggan, S Hu, NJ Short… - arXiv e-prints, 2018 - ui.adsabs.harvard.edu
The large domain discrepancy between faces captured in polarimetric (or conventional)
thermal and visible domain makes cross-domain face verification a highly challenging …

Synthesis of High-Quality Visible Faces from Polarimetric Thermal Faces using Generative Adversarial Networks

H Zhang, BS Riggan, S Hu, NJ Short… - arXiv preprint arXiv …, 2018 - arxiv.org
The large domain discrepancy between faces captured in polarimetric (or conventional)
thermal and visible domain makes cross-domain face verification a highly challenging …
[PDF] researchgate.net

[PDF][PDF] Synthesis of High-Quality Visible Faces from Polarimetric Thermal Faces using Generative Adversarial Networks

H Zhang, BS Riggan, S Hu, NJ Short, VM Patel - researchgate.net
The large domain discrepancy between faces captured in polarimetric (or conventional)
thermal and visible domain makes cross-domain face verification a highly challenging …
[PDF] jhu.edu

[PDF][PDF] Synthesis of High-Quality Visible Faces from Polarimetric Thermal Faces using Generative Adversarial Networks

H Zhang, BS Riggan, S Hu, NJ Short, VM Patel - engineering.jhu.edu
The large domain discrepancy between faces captured in polarimetric (or conventional)
thermal and visible domain makes cross-domain face verification a highly challenging …

Synthesis of High-Quality Visible Faces from Polarimetric Thermal Faces using Generative Adversarial Networks

H Zhang, BS Riggan, S Hu, NJ Short… - International Journal of …, 2019 - search.proquest.com
The large domain discrepancy between faces captured in polarimetric (or conventional)
thermal and visible domains makes cross-domain face verification a highly challenging …