Jueun Ko

2 accepted papers

2025

Hybrid-TTA: Continual Test-time Adaptation via Dynamic Domain Shift Detection

Hyewon Park, Hyejin Park, Jueun Ko, Dongbo Min

ICCV 2025poster

Continual Test Time Adaptation (CTTA) has emerged as a critical approach to bridge the domain gap between controlled training environments and real-world scenarios.Since it is important to balance the trade-off between adaptation and stabilization, many studies have tried to accomplish it by either…

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2025

RobIA: Robust Instance-aware Continual Test-time Adaptation for Deep Stereo

Jueun Ko, Hyewon Park, Hyesong Choi, Dongbo Min

NeurIPS 2025poster

Stereo Depth Estimation in real-world environments poses significant challenges due to dynamic domain shifts, sparse or unreliable supervision, and the high cost of acquiring dense ground-truth labels. While recent Test-Time Adaptation (TTA) methods offer promising solutions, most rely on static tar…

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