Hyungchan Cho — accepted AI-conference papers

2026

Mining Instance-Centric Vision-Language Contexts for Human-Object Interaction Detection

Soo Won Seo, KyungChae Lee, Hyungchan Cho, Taein Son, Nam Ik Cho, Jun Won Choi

CVPR 2026

Human-Object Interaction (HOI) detection aims to localize human-object pairs and classify their interactions from a single image, a task that demands strong visual understanding and nuanced contextual reasoning. Recent approaches have leveraged Vision-Language Models (VLMs) to introduce semantic pri

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2026

STONE Dataset: A Scalable Multi-Modal Surround-View 3D Traversability Dataset for Off-Road Robot Navigation

Konyul Park, Daehun Kim, Jiyong Oh, Seunghoon Yu, Junseo Park, Jaehyun Park +4

ICRA 2026poster

Reliable off-road navigation requires accurate estimation of traversable regions and robust perception under diverse terrain and sensing conditions. However, existing datasets lack both scalability and multi-modality, which limits progress in 3D traversability prediction. In this work, we introduce …

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