Yeho Gwon

2 accepted papers

2026

Robust Promptable Video Object Segmentation

Sohyun Lee, Yeho Gwon, Lukas Hoyer, Konrad Schindler, Christos Sakaridis, Suha Kwak

CVPR 2026

The performance of promptable video object segmentation (PVOS) models substantially degrades under input corruptions, which prevents PVOS deployment in safety-critical domains. This paper offers the first comprehensive study on robust PVOS (RobustPVOS). We first construct a new, comprehensive benchm

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2025

GaRA-SAM: Robustifying Segment Anything Model with Gated-Rank Adaptation

Sohyun Lee, Yeho Gwon, Lukas Hoyer, Suha Kwak

NeurIPS 2025poster

Improving robustness of the Segment Anything Model (SAM) to input degradations is critical for its deployment in high-stakes applications such as autonomous driving and robotics. Our approach to this challenge prioritizes three key aspects: first, parameter efficiency to maintain the inherent genera…

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