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20232025
most citedUsing Cross-Domain Detection Loss to Infer Multi-Scale Information for Improved Tiny Head Tracking

1 citations · 1 across the 5 of their papers we have counts for

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5 papers

cs.CV20251 cited

Using Cross-Domain Detection Loss to Infer Multi-Scale Information for Improved Tiny Head Tracking

Jisu Kim, Alex Mattingly, Eung-Joo Lee +1

Head detection and tracking are essential for downstream tasks, but current methods often require large computational budgets, which increase latencies and ties up resources (e.g.,…

cs.CV2025

2D-3D Attention and Entropy for Pose Robust 2D Facial Recognition

J. Brennan Peace, Shuowen Hu, Benjamin S. Riggan

Despite recent advances in facial recognition, there remains a fundamental issue concerning degradations in performance due to substantial perspective (pose) differences between en…

cs.CV2024

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…

cs.CV2023

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,…

cs.CV2023

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…