Junha Roh

Papers

1

Total Citations

22

H-Index

1

About

Junha Roh is a researcher advancing the frontier of embodied AI and human-robot interaction, with a primary focus on 3D visual grounding and spatial-language understanding. His most notable contribution, the "LanguageRefer" model (2021, 22 citations), addresses a critical challenge in robotics: enabling machines to interpret human referential language to identify objects within complex, real-world 3D scenes. By developing a spatial-language model that bridges linguistic descriptions and 3D spatial reasoning, Roh’s work lays essential groundwork for robots to follow natural language instructions in dynamic environments. This research is pivotal for applications ranging from domestic assistance to industrial automation, where precise object localization from verbal cues is required. Beyond LanguageRefer, Roh’s broader portfolio explores how vision, language, and spatial cognition can be integrated to create more intuitive and capable autonomous systems. His contributions have been recognized for their practical relevance, helping to shape the next generation of interactive robots that can understand and act upon human commands in the physical world.

Research Focus

Key Achievements

1
H-Index
1
Papers
22
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
LanguageRefer: Spatial-Language Model for 3D Visual Grounding
22 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 3

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago