Khac-Tuan Nguyen

Vietnam National University Ho Chi Minh City

Papers

1

Total Citations

8

H-Index

1

About

Khac-Tuan Nguyen is a researcher advancing the field of 3D object and scene retrieval, with a particular focus on bridging the gap between 2D imagery and 3D data. His key research areas include 3D scene retrieval, 2D image-based 3D object recognition, and multimedia information retrieval. Nguyen's major contribution lies in pioneering the novel concept of 2D image-based 3D scene retrieval, a framework that allows users to search for relevant 3D scenes using a simple 2D scene image as a query. This intuitive approach enables researchers and students to learn from, search through, and utilize complex 3D datasets more efficiently. His foundational work in this emerging topic has garnered attention, with his most cited paper accumulating 8 citations and establishing a new direction in the field. By making 3D scene retrieval more accessible and practical, Nguyen's research holds promise for applications in virtual reality, computer-aided design, and autonomous navigation, positioning him as an innovator at the intersection of 2D and 3D data analysis.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
2D Image-Based 3D Scene Retrieval
8 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 25
🏛 Institutions: Vietnam National University Ho Chi Minh City

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago