1 citations · 1 across the 5 of their papers we have counts for
5 papers
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…
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…
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…
Toward Robust LiDAR based 3D Object Detection via Density-Aware Adaptive Thresholding
Eunho Lee, Minwoo Jung, Ayoung Kim
Robust 3D object detection is a core challenge for autonomous mobile systems in field robotics. To tackle this issue, many researchers have demonstrated improvements in 3D object d…
NeuroFlow: Development of lightweight and efficient model integration scheduling strategy for autonomous driving system
Eunbin Seo, Gwanjun Shin, Eunho Lee
This paper proposes a specialized autonomous driving system that takes into account the unique constraints and characteristics of automotive systems, aiming for innovative advancem…