Chunghwan Lee — accepted AI-conference papers

2024

Efficient Privacy-Preserving Visual Localization Using 3D Ray Clouds

Heejoon Moon, Chunghwan Lee, Je Hyeong Hong

CVPR 2024poster

The recent success in revealing scene details from sparse 3D point clouds obtained via structure-from-motion has raised significant privacy concerns in visual localization. One prominent approach for mitigating this issue is to lift 3D points to 3D lines thereby reducing the effectiveness of the sce…

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2023

Paired-Point Lifting for Enhanced Privacy-Preserving Visual Localization

Chunghwan Lee, Jaihoon Kim, Chanhyuk Yun, Je Hyeong Hong

CVPR 2023poster

Visual localization refers to the process of recovering camera pose from input image relative to a known scene, forming a cornerstone of numerous vision and robotics systems. While many algorithms utilize sparse 3D point cloud of the scene obtained via structure-from-motion (SfM) for localization, r…

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