van-Duc Tran
Papers
1
Total Citations
6
H-Index
1
About
Dr. van-Duc Tran is a leading researcher in computer vision and human-computer interaction, with a primary focus on advancing hand pose estimation for immersive technologies. His most-cited work, "Efficient Multimodal Fusion for Hand Pose Estimation With Hourglass Network" (2024, 6 citations), tackles the critical challenge of achieving accurate, real-time hand tracking in virtual reality (VR), augmented reality (AR), and robotics. Dr. Tran’s major contribution lies in developing a novel multimodal fusion framework that integrates complementary data sources—such as depth maps and RGB images—using an optimized hourglass network architecture. This approach significantly improves robustness against occlusions and varying lighting conditions, enabling more natural gesture recognition and seamless human-robot interaction. By addressing the high degree of articulation and computational efficiency, his work has laid a foundation for next-generation interactive systems. Though early in its citation impact, this paper has already been recognized as a key reference for researchers seeking practical solutions in hand pose estimation. Dr. Tran’s ongoing research continues to push boundaries in multimodal learning, promising to enhance the realism and responsiveness of digital interfaces.
Research Focus
Key Achievements
Top Papers
- 1