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Jeongho Noh

2 accepted papers

2026

Clutt3R-Seg: Sparse-View 3D Instance Segmentation for Language-Grounded Grasping in Cluttered Scenes

ICRA 2026poster

Reliable 3D instance segmentation is fundamental to language-grounded robotic manipulation. Its critical application lies in cluttered environments, where occlusions, limited viewpoints, and noisy masks degrade perception. To address these challenges, we present Clutt3R-Seg, a zero-shot pipeline for…

2025

TranSplat: Surface Embedding-Guided 3D Gaussian Splatting for Transparent Object Manipulation

ICRA 2025

Transparent object manipulation remains a significant challenge in robotics due to the difficulty of acquiring accurate and dense depth measurements. Conventional depth sensors often fail with transparent objects, resulting in incomplete or erroneous depth data. Existing depth completion methods str

Cited by 9SourcecodeScholar