Papers by Ji Hoon Joung
GuideDog: A Real-World Egocentric Multimodal Dataset for Blind and Low-Vision Accessibility-Aware Guidance (2026.acl-long)
Copied to clipboard
Junhyeok Kim, Jaewoo Park, Junhee Park, Sangeyl Lee, Jiwan Chung, Jisung Kim, Ji Hoon Joung, Youngjae Yu
| Challenge: | Recent advances in multimodal large language models (MLLMs) offer new opportunities for higher-level scene understanding, but they require labor-intensive, expert annotation. |
| Approach: | They propose a dataset that combines 2K human-verified images with 22K image-description pairs to provide a more accurate representation of pedestrian scenes. |
| Outcome: | The proposed dataset improves scalability while maintaining quality. |