Duc-Long Pham
Papers
2
Total Citations
7
H-Index
1
About
Duc-Long Pham is a researcher advancing the frontiers of computer vision and robotics, with a primary focus on hand pose estimation and multimodal fusion. His work is central to enabling intuitive human-computer interaction, particularly for virtual and augmented reality applications. Pham’s major contribution lies in developing efficient architectures that integrate data from multiple sensors—such as RGB and depth cameras—to achieve robust and real-time pose estimation. His highly cited paper, "Efficient Multimodal Fusion for Hand Pose Estimation With Hourglass Network" (2024), has garnered 6 citations, showcasing its immediate impact in the field. Building on this, his recent work "Vote-based multimodal fusion for hand-held object pose estimation" (2025) addresses the even more complex challenge of estimating the pose of objects being manipulated, a critical capability for robotic manipulation and human-robot interaction. By pioneering novel fusion techniques that overcome the limitations of single-modality approaches, Pham is directly enabling more natural and reliable interactions between humans and machines, making his research essential for the next generation of intelligent systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Vote-based multimodal fusion for hand-held object pose estimation1 citations · 2025