3 papers
cs.CV2026
Clutt3R-Seg: Sparse-view 3D Instance Segmentation for Language-grounded Grasping in Cluttered Scenes
Jeongho Noh, Tai Hyoung Rhee, Eunho Lee +3
Reliable 3D instance segmentation is fundamental to language-grounded robotic manipulation. Its critical application lies in cluttered environments, where occlusions, limited viewp…
cs.RO2026
Informative Object-centric Next Best View for Object-aware 3D Gaussian Splatting in Cluttered Scenes
Seunghoon Jeong, Eunho Lee, Jeongyun Kim +1
In cluttered scenes with inevitable occlusions and incomplete observations, selecting informative viewpoints is essential for building a reliable representation. In this context, 3…
cs.CV2025
THE-Pose: Topological Prior with Hybrid Graph Fusion for Estimating Category-Level 6D Object Pose
Eunho Lee, Chaehyeon Song, Seunghoon Jeong +1
Category-level object pose estimation requires both global context and local structure to ensure robustness against intra-class variations. However, 3D graph convolution (3D-GC) me…