5 papers
LQ-rPPG: A Label-Quantized Coarse-to-Fine Learning Framework for Remote Physiological Measurement
Jun Seong Lee, Samyeul Noh, Changki Sung +1
Remote photoplethysmography (rPPG) enables non-contact measurement of physiological signals from facial videos, offering strong potential for remote healthcare and daily health mon…
VIRD: View-Invariant Representation through Dual-Axis Transformation for Cross-View Pose Estimation
Juhye Park, Wooju Lee, Dasol Hong +4
Accurate global localization is critical for autonomous driving and robotics, but GNSS-based approaches often degrade due to occlusion and multipath effects. As an emerging alterna…
E2EGS: Event-to-Edge Gaussian Splatting for Pose-Free 3D Reconstruction
Yunsoo Kim, Changki Sung, Dasol Hong +1
The emergence of neural radiance fields (NeRF) and 3D Gaussian splatting (3DGS) has advanced novel view synthesis (NVS). These methods, however, require high-quality RGB inputs and…
CoCoA-Mix: Confusion-and-Confidence-Aware Mixture Model for Context Optimization
Dasol Hong, Wooju Lee, Hyun Myung
Prompt tuning, which adapts vision-language models by freezing model parameters and optimizing only the prompt, has proven effective for task-specific adaptations. The core challen…
PIDLoc: Cross-View Pose Optimization Network Inspired by PID Controllers
Wooju Lee, Juhye Park, Dasol Hong +4
Accurate localization is essential for autonomous driving, but GNSS-based methods struggle in challenging environments such as urban canyons. Cross-view pose optimization offers an…