Trung-Hieu Te
Papers
1
Total Citations
3
H-Index
1
About
Trung-Hieu Te is a rising researcher in computer vision and human-computer interaction, with a focused interest in hand gesture recognition using deep learning. His most cited work introduces the TQU-HG dataset, a carefully curated collection of RGB-based hand gesture images designed to advance gesture recognition under diverse real-world conditions. By providing a comparative study of multiple deep learning architectures on this dataset, Te has offered the research community a valuable benchmark for evaluating model robustness and accuracy. This contribution addresses critical challenges in enabling intuitive human-robot interaction and assistive technologies for the deaf and mute. Although early in his career, with his flagship paper already accumulating 3 citations, Te’s work lays a strong foundation for more inclusive and responsive gesture-based interfaces. His research stands at the intersection of dataset creation, model evaluation, and practical application, promising further impact as the field of vision-based interaction continues to grow.
Research Focus
Key Achievements
Top Papers
- 1