Juhye Park — accepted AI-conference papers

2026

VIRD: View-Invariant Representation through Dual-Axis Transformation for Cross-View Pose Estimation

Juhye Park, Wooju Lee, Dasol Hong, Changki Sung, Youngwoo Seo, Dongwan Kang +1

CVPR 2026

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 alternative, cross-view pose estimation predicts the 3-DoF camera pose corresponding to a ground-view image with respect to a g

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2025

PIDLoc: Cross-View Pose Optimization Network Inspired by PID Controllers

Wooju Lee, Juhye Park, Dasol Hong, Changki Sung, Youngwoo Seo, DongWan Kang +1

CVPR 2025poster

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 effective solution for localization by directly estimating vehicle pose using satellite-view images. However, existing…

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