6 papers
Discovering EV Charging Site Archetypes Through Few Shot Forecasting: The First U.S.-Wide Study
Kshitij Nikhal, Lucas Ackerknecht, Benjamin S. Riggan +1
The decarbonization of transportation relies on the widespread adoption of electric vehicles (EVs), which requires an accurate understanding of charging behavior to ensure cost-eff…
Cross-Spectral Attention for Unsupervised RGB-IR Face Verification and Person Re-identification
Kshitij Nikhal, Cedric Nimpa Fondje, Benjamin S. Riggan
Cross-spectral biometrics, such as matching imagery of faces or persons from visible (RGB) and infrared (IR) bands, have rapidly advanced over the last decade due to increasing sen…
HashReID: Dynamic Network with Binary Codes for Efficient Person Re-identification
Kshitij Nikhal, Yujunrong Ma, Shuvra S. Bhattacharyya +1
Biometric applications, such as person re-identification (ReID), are often deployed on energy constrained devices. While recent ReID methods prioritize high retrieval performance,…
Weakly Supervised Face and Whole Body Recognition in Turbulent Environments
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. However, long-range recognition sys…
Understanding Cross Domain Presentation Attack Detection for Visible Face Recognition
Jennifer Hamblin, Kshitij Nikhal, Benjamin S. Riggan
Face signatures, including size, shape, texture, skin tone, eye color, appearance, and scars/marks, are widely used as discriminative, biometric information for access control. Des…
Unsupervised Attention Based Instance Discriminative Learning for Person Re-Identification
Kshitij Nikhal, Benjamin S. Riggan
Recent advances in person re-identification have demonstrated enhanced discriminability, especially with supervised learning or transfer learning. However, since the data requireme…