most citedDA-Fusion: Deformable Attention-Based RGB-D Fusion Transformer for Unseen Object Instance Segmentation

4 citations · 4 across the 3 of their papers we have counts for

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cs.CV2026

CDIS: Cross-Dimensional Class-Agnostic 3D Instance Segmentation via 2D Mask Tracking and 3D-2D Projection Merging

Juno Kim, Hye-Jung Yoon, Yesol Park +1

Class-agnostic 3D instance segmentation is critical for robotic systems operating in unknown environments, enabling perception of previously unseen objects for reliable manipulatio…

cs.CV2026★ 4 cited

DA-Fusion: Deformable Attention-Based RGB-D Fusion Transformer for Unseen Object Instance Segmentation

Yesol Park, Hye-Jung Yoon, Juno Kim +1

In logistics automation, precise segmentation of unseen objects is crucial for efficient robotic manipulation in cluttered environments. Tasks such as bin-picking and shelf-picking…

cs.CV2025

OV-MAP: Open-Vocabulary Zero-Shot 3D Instance Segmentation Map for Robots

Juno Kim, Yesol Park, Hye-Jung Yoon +1

We introduce OV-MAP, a novel approach to open-world 3D mapping for mobile robots by integrating open-features into 3D maps to enhance object recognition capabilities. A significant…