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Eunho Lee

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…

2026

Informative Object-Centric Next Best View for Object-Aware 3D Gaussian Splatting in Cluttered Scenes

ICRA 2026poster

In cluttered scenes with inevitable occlusions and incomplete observations, selecting informative viewpoints is essential for building a reliable representation. In this context, 3D Gaussian Splatting (3DGS) offers a distinct advantage, as it can explicitly guide the selection of subsequent viewpoin…