Son-Anh Bui
Papers
2
Total Citations
7
H-Index
1
About
Son-Anh Bui is a rising researcher in computer vision and robotics, whose work is shaping the future of human-machine interaction. His primary research areas include hand pose estimation, multimodal sensor fusion, and object pose estimation—critical technologies for virtual reality (VR), augmented reality (AR), and robotic manipulation. Bui’s most impactful contribution is his work on efficient multimodal fusion, notably integrating RGB and depth data to dramatically improve the accuracy and real-time performance of hand pose estimation. His 2024 paper on the Hourglass Network, which has already garnered 6 citations, introduces a novel architecture that fuses visual modalities to overcome challenges like high hand articulation and occlusion. More recently, his 2025 paper on vote-based multimodal fusion for hand-held object pose estimation tackles the complex task of estimating an object’s pose while it is being manipulated, a key challenge for human-robot interaction. By advancing how machines perceive and interpret human hand movements and interactions with objects, Bui’s research is paving the way for more intuitive and responsive AR/VR systems and dexterous robotic assistants. His work stands at the exciting intersection of computer vision and practical, real-world applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2Vote-based multimodal fusion for hand-held object pose estimation1 citations · 2025