Papers

1

Total Citations

5

H-Index

1

About

Fuan Wen is a rising researcher in computer vision and graphics, specializing in 3D hand-object interaction and motion synthesis. His work addresses the critical challenge of generating realistic, fine-grained hand motion for applications in virtual reality and robotics. Wen’s key contribution is the development of hierarchical spatial-temporal modeling techniques that refine coarse hand motion into natural, physically plausible interactions with objects. His most-cited paper, "Hand-Centric Motion Refinement for 3D Hand-Object Interaction via Hierarchical Spatial-Temporal Modeling" (2024, 5 citations), introduces a novel framework that bridges the gap between tracking data and high-fidelity animation. This work has quickly gained attention for its potential to enhance immersive experiences and robotic manipulation. Wen’s research is particularly notable for its focus on the subtle nuances of hand articulation and contact dynamics, areas often overlooked in prior work. As an emerging scholar, his early citation impact signals growing recognition, and his contributions are paving the way for more intuitive human-computer interaction systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Hand-Centric Motion Refinement for 3D Hand-Object Interaction via Hierarchical Spatial-Temporal Modeling
5 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Beijing University of Posts and Telecommunications

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago