no code implementations • 23 Aug 2023 • Kshitij Nikhal, Yujunrong Ma, Shuvra S. Bhattacharyya, Benjamin S. Riggan
Using our approach, more than 70% of the samples with compact hash codes exit early on the Market1501 dataset, saving 80% of the networks computational cost and improving over other hash-based methods by 60%.
no code implementations • 22 Aug 2023 • Kshitij Nikhal, Benjamin S. Riggan
Face and person recognition have recently achieved remarkable success under challenging scenarios, such as off-pose and cross-spectrum matching.
no code implementations • 3 Nov 2021 • Jennifer Hamblin, Kshitij Nikhal, Benjamin S. Riggan
Instead, we propose a method that exploits information from infrared imagery during training to increase the discriminability of visible-based presentation attack detection systems.
1 code implementation • 3 Nov 2020 • Kshitij Nikhal, Benjamin S. Riggan
Recent advances in person re-identification have demonstrated enhanced discriminability, especially with supervised learning or transfer learning.