Jaeyoon Lee — accepted AI-conference papers

2026

Through the Water: Refractive Gaussian Splatting for Water Surface Scenes

Yeonghun Yoon, Hojoon Jung, Jaeyoon Lee, Taegwan Kim, Gyuhyun Kim, Jongwon Choi

AAAI 2026technical

Scenes with water surfaces present a significant challenge for Gaussian Splatting due to the simultaneous presence of refraction and reflection, as well as the difficulty of accurately estimating the geometry of transparent water surfaces. To address this, we propose a novel framework for reconstruc

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2025

NBA3D: Neighbor-Based Confidence Adjustment for 3D Rare Object Detection Using LiDAR

Jooyoung Lee, Jaeyoon Lee, Jongwon Choi

AAAI 2025technical

Recent research on LiDAR-based 3D object detectors has shown strong performance; however, evaluations typically focus on dominant classes, overlooking rare classes, such as strollers, which could be critical in real autonomous driving scenarios. This oversight is problematic because state-of-the-art…

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