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Benjamin S. Riggan
Researcher at University of Nebraska–Lincoln
Publications - 54
Citations - 788
Benjamin S. Riggan is an academic researcher from University of Nebraska–Lincoln. The author has contributed to research in topics: Facial recognition system & Feature extraction. The author has an hindex of 13, co-authored 47 publications receiving 522 citations. Previous affiliations of Benjamin S. Riggan include North Carolina State University & United States Army Research Laboratory.
Papers
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Journal ArticleDOI
Synthesis of High-Quality Visible Faces from Polarimetric Thermal Faces using Generative Adversarial Networks
TL;DR: Zhang et al. as discussed by the authors proposed a generative adversarial networks based multi-stream feature-level fusion technique to synthesize high-quality visible images from polarimetric thermal images.
Proceedings ArticleDOI
A Polarimetric Thermal Database for Face Recognition Research
Shuowen Hu,Nathaniel J. Short,Benjamin S. Riggan,Christopher Gordon,Kristan P. Gurton,Matthew Thielke,Prudhvi Gurram,Alex Chan +7 more
TL;DR: A polarimetric thermal face database, the first of its kind, for face recognition research is presented, and crossspectrum face recognition performance on the database is benchmarked using three techniques: partial least squares, deep perceptual mapping, and coupled neural networks.
Proceedings ArticleDOI
Generative adversarial network-based synthesis of visible faces from polarimetrie thermal faces
TL;DR: This paper proposes a Generative Adversarial Network-based Visible Face Synthesis (GAN-VFS) method to synthesize more photo-realistic visible face images from their corresponding polarimetric images and demonstrates that the proposed method achieves state-of-the-art performance.
Proceedings ArticleDOI
Polarimetric Thermal to Visible Face Verification via Self-Attention Guided Synthesis
TL;DR: The proposed synthesis network is based on the self-attention generative adversarial network (SAGAN) which essentially allows efficient attention-guided image synthesis and achieves state-of-the-art performance.
Proceedings ArticleDOI
Estimation of visible spectrum faces from polarimetric thermal faces
TL;DR: This work effectively demonstrate the ability to produce a visible image from a probe polarimetric-thermal image, and is able to demonstrate the same capability with conventional thermal imagery, but reports a significant improvement by incorporating polarization-state information.