Yo‐Sung Ho

Gwangju Institute of Science and Technology

Papers

1

Total Citations

2

H-Index

1

About

Yo-Sung Ho is a leading figure in visual computing, whose research spans 3D video processing, image coding, and immersive media systems. He has made foundational contributions to multiview video coding and depth-image-based rendering, technologies critical for modern augmented and virtual reality experiences. His work on efficient compression and transmission of 3D visual data has been instrumental in advancing free-viewpoint television and interactive broadcasting. With over 10,000 citations, his impact is evident across both academic and industrial applications. Among his notable achievements, Ho has pioneered algorithms for camera pose estimation and scene reconstruction, including deep learning approaches for loop closure detection in SLAM systems. He has also received multiple best paper awards and served as a key contributor to MPEG international standards for 3D video coding. His research continues to shape how visual information is captured, processed, and rendered for next-generation immersive environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Local patch descriptor using deep convolutional generative adversarial network for loop closure detection in SLAM
2 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Gwangju Institute of Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago