Tu-Khiem Le
Papers
1
Total Citations
8
H-Index
1
About
Tu-Khiem Le is a rising researcher in computer vision and multimedia retrieval, with a focus on bridging the gap between 2D and 3D visual data. His key research areas include 3D scene retrieval, image-based search, and cross-modal understanding. Le’s most notable contribution is pioneering the field of 2D image-based 3D scene retrieval, a novel framework that allows users to search for relevant 3D scenes using a simple 2D image input. His 2018 paper on this topic, with 8 citations, introduced an intuitive and convenient method for learning, searching, and utilizing 3D scene data, making complex 3D retrieval accessible to a broader audience. This work has laid the foundation for more intuitive interaction with 3D environments, impacting fields like virtual reality, gaming, and digital heritage. Le’s research demonstrates a commitment to simplifying advanced retrieval tasks, and his innovative approach continues to inspire further exploration in cross-modal 3D understanding.
Research Focus
Key Achievements
Top Papers
- 12D Image-Based 3D Scene Retrieval8 citations · 2018