Yeonsoo Park
Papers
1
Total Citations
7
H-Index
1
About
Yeonsoo Park is at the forefront of 3D computer vision, specializing in neural radiance fields (NeRFs) and their application to real-time spatial intelligence. Their most-cited work, "RGB-D Mapping and Tracking in a Plenoxel Radiance Field" (2024, 7 citations), tackles a critical challenge: enabling simultaneous localization and mapping (SLAM) directly within a Plenoxel-based radiance field. By integrating RGB-D data with a differentiable volumetric representation, Park’s research bridges the gap between photorealistic scene reconstruction and robust tracking, offering a pathway toward more efficient, dense 3D mapping without the computational overhead of traditional NeRF pipelines. This contribution is particularly impactful for robotics and augmented reality, where real-time, high-fidelity environmental understanding is essential. While early in their career, Park’s work signals a shift toward practical, deployable neural rendering systems, and their citation trajectory underscores growing interest in hybrid approaches that marry classical SLAM with modern implicit representations.
Research Focus
Key Achievements
Top Papers
- 1RGB-D Mapping and Tracking in a Plenoxel Radiance Field7 citations · 2024