Shanxin Yuan
Papers
2
Total Citations
529
H-Index
2
About
Shanxin Yuan is a leading researcher in computer vision, with a core focus on 3D hand pose estimation, egocentric action recognition, and human-object interaction. His most impactful contribution is the creation of a benchmark first-person hand action dataset, which combines RGB-D videos with precise 3D hand pose annotations. This work, published in 2018 and cited over 500 times, provides more than 100,000 frames spanning 45 daily action categories and 26 objects, enabling researchers to systematically study how 3D hand poses can be used to recognize dynamic interactions from a first-person perspective. By bridging the gap between hand pose estimation and action recognition, Yuan’s dataset has become a standard resource for advancing egocentric vision systems. His work is instrumental in applications ranging from augmented reality to robotic manipulation. With a citation count reflecting significant influence in the field, Yuan’s research continues to shape how machines understand and interpret human hand movements in real-world contexts.
Research Focus
Key Achievements
Top Papers
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