Donghyun Shin — accepted AI-conference papers

2026

BINDER: Instantly Adaptive Mobile Manipulation with Open-Vocabulary Commands

Seongwon Cho, Daechul Ahn, Donghyun Shin, Hyeonbeom Choi, San Kim, Jonghyun Choi

ICRA 2026poster

Open-vocabulary mobile manipulation (OVMM) requires robots to follow language instructions, navigate, and manipulate while updating their world representation as the environment changes dynamically. However, most prior works update their world representation only at discrete milestones, such as wayp…

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2026

uCLIP: Parameter-Efficient Multilingual Extension of Vision-Language Models with Unpaired Data

Dahyun Chung, Donghyun Shin, Yujin Sung, Seunggi Moon, Jinwoo Jeon, Byung-Jun Lee

AAAI 2026technical

Contrastive Language–Image Pre-training (CLIP) has demonstrated strong generalization across a wide range of visual tasks by leveraging large-scale English–image pairs. However, its extension to low-resource languages remains limited due to the scarcity of high-quality multilingual image–text data.

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