Search Results for author:
Found 3 papers, 1 papers with code
Synthesis-Guided Feature Learning for Cross-Spectral Periocular Recognition
We propose a novel approach to cross-spectral periocular verification that primarily focuses on learning a mapping from visible and NIR periocular images to a shared latent representational subspace, and supports this effort by simultaneously learning intra-spectral image reconstruction.
Meta-UDA: Unsupervised Domain Adaptive Thermal Object Detection using Meta-Learning
Though thermal cameras are widely used for military applications and increasingly for commercial applications, there is a lack of robust algorithms to robustly exploit the thermal imagery due to the limited availability of labeled thermal data.
A Large-Scale, Time-Synchronized Visible and Thermal Face Dataset
Thermal face imagery, which captures the naturally emitted heat from the face, is limited in availability compared to face imagery in the visible spectrum.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
