Joohyung Kim
Papers
2
Total Citations
33
H-Index
2
About
Joohyung Kim is a computer vision researcher whose work centers on visual localization and 3D scene understanding, with a particular focus on enabling precise positioning in large-scale indoor environments. His research addresses a fundamental challenge in modern computing: accurately determining where a device or agent is located within complex indoor spaces — a problem with far-reaching implications for autonomous robotics, augmented reality, and mixed reality applications. Kim's most notable contribution, "Pose Correction for Highly Accurate Visual Localization in Large-scale Indoor Spaces" (2021), has garnered 25 citations and advances the state of the art in coarse-to-fine localization pipelines, refining pose estimation to achieve high accuracy across challenging environments where GPS signals are unavailable. Building on this foundation, his 2023 work on photo-realistic 3D model-based positioning systems further demonstrates his commitment to bridging photorealistic scene representation with practical, deployable localization solutions. Through his research, Kim contributes to making intelligent spatial awareness more robust and scalable — work that is increasingly critical as autonomous systems and immersive technologies become embedded in everyday indoor environments. His growing citation record reflects a meaningful presence in a rapidly evolving field.
Research Focus
Key Achievements
Top Papers
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- 2