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H. Yoon

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#artificial intelligence Conference Open access Oct 2024

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

OV-MAP is introduced, a novel approach to open-world 3D mapping for mobile robots by integrating open-features into 3D maps to enhance object recognition capabilities by employing a class-agnostic segmentation model to project 2D masks into 3D space.

Juno Kim, Yesol Park, H. Yoon et al. · 4 citations
Preprint Jul 2026

Scene-Q: Confidence-Aware Coarse-to-Fine Querying of 3D Scenes with Selective VLM Reasoning

Scene-Q is presented, a confidence-aware coarse-to-fine querying framework that normalizes encoder scores with temperature scaling and selectively invokes a reasoning VLM only for low-confidence cases, and improves open-vocabulary 3D instance segmentation on ScanNet200 and natural-language 3D instance retrieval on real...

Juno Kim, Yesol Park, H. Yoon et al. · 0 citations

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