Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Riggan, Benjamin S."'
Biometric applications, such as person re-identification (ReID), are often deployed on energy constrained devices. While recent ReID methods prioritize high retrieval performance, they often come with large computational costs and high search time, r
Externí odkaz:
http://arxiv.org/abs/2308.11900
Autor:
Nikhal, Kshitij, Riggan, Benjamin S.
Face and person recognition have recently achieved remarkable success under challenging scenarios, such as off-pose and cross-spectrum matching. However, long-range recognition systems are often hindered by atmospheric turbulence, leading to spatiall
Externí odkaz:
http://arxiv.org/abs/2308.11757
Interest in thermal to visible face recognition has grown significantly over the last decade due to advancements in thermal infrared cameras and analytics beyond the visible spectrum. Despite large discrepancies between thermal and visible spectra, e
Externí odkaz:
http://arxiv.org/abs/2211.09350
Face signatures, including size, shape, texture, skin tone, eye color, appearance, and scars/marks, are widely used as discriminative, biometric information for access control. Despite recent advancements in facial recognition systems, presentation a
Externí odkaz:
http://arxiv.org/abs/2111.02548
Autor:
Poster, Domenick, Thielke, Matthew, Nguyen, Robert, Rajaraman, Srinivasan, Di, Xing, Fondje, Cedric Nimpa, Patel, Vishal M., Short, Nathaniel J., Riggan, Benjamin S., Nasrabadi, Nasser M., Hu, Shuowen
Thermal face imagery, which captures the naturally emitted heat from the face, is limited in availability compared to face imagery in the visible spectrum. To help address this scarcity of thermal face imagery for research and algorithm development,
Externí odkaz:
http://arxiv.org/abs/2101.02637
Autor:
Nikhal, Kshitij, Riggan, Benjamin S.
Recent advances in person re-identification have demonstrated enhanced discriminability, especially with supervised learning or transfer learning. However, since the data requirements---including the degree of data curations---are becoming increasing
Externí odkaz:
http://arxiv.org/abs/2011.01888
Recent advances in domain adaptation, especially those applied to heterogeneous facial recognition, typically rely upon restrictive Euclidean loss functions (e.g., $L_2$ norm) which perform best when images from two different domains (e.g., visible a
Externí odkaz:
http://arxiv.org/abs/2008.08473
In many domestic and military applications, aerial vehicle detection and super-resolutionalgorithms are frequently developed and applied independently. However, aerial vehicle detection on super-resolved images remains a challenging task due to the l
Externí odkaz:
http://arxiv.org/abs/2005.00983
Thermal-to-visible face verification is a challenging problem due to the large domain discrepancy between the modalities. Existing approaches either attempt to synthesize visible faces from thermal faces or learn domain-invariant robust features from
Externí odkaz:
http://arxiv.org/abs/2004.09502
Publikováno v:
In Machine Learning with Applications 15 December 2023 14
