Yujin Sun
Papers
1
Total Citations
5
H-Index
1
About
Yujin Sun is a rising researcher in computer vision and multimodal AI, whose work focuses on bridging natural language understanding with 3D spatial reasoning in dynamic, real-world environments. Her most-cited paper, "WildRefer: 3D Object Localization in Large-Scale Dynamic Scenes with Multi-modal Visual Data and Natural Language" (2024), introduces a novel framework for grounding objects in complex, unstructured scenes using both visual and linguistic cues. This work addresses a critical challenge in autonomous systems and augmented reality—enabling machines to locate objects described in natural language within ever-changing, large-scale 3D spaces. With 5 citations already in its first year, WildRefer signals growing interest in her approach, which combines multi-modal data fusion with robust localization techniques. Sun’s contributions are particularly notable for tackling the "wild" nature of real-world scenes, moving beyond controlled lab settings to handle occlusion, scale variation, and dynamic motion. Her research holds promise for applications in robotics, autonomous driving, and human-computer interaction, where precise, language-guided spatial understanding is essential. As an early-career scholar, Yujin Sun is already shaping the future of embodied AI and multimodal perception.
Research Focus
Key Achievements
Top Papers
- 1