Chenxin Li

Chinese University of Hong Kong

Papers

1

Total Citations

1

H-Index

1

About

Chenxin Li is a rising researcher at the forefront of AI security and 3D/4D computer vision, with a focus on safeguarding emerging visual assets. Their most notable contribution is the pioneering work "Hide-in-Motion," which introduces a novel steganographic method for embedding copyright information directly into 4D Gaussian Splatting (4D-GS) assets. As 4D-GS becomes a transformative technique for dynamic scene reconstruction and novel view synthesis—critical for robotics and autonomous systems—Li addresses a pressing vulnerability: the lack of security and trustworthiness in these high-fidelity digital assets. By enabling hidden, motion-aware copyright protection, this work bridges the gap between cutting-edge 3D/4D representation learning and intellectual property rights, a challenge that grows as synthetic media proliferates. Though early in their career, Li’s research has already garnered attention for its timely and interdisciplinary approach, combining elements of steganography, computer graphics, and AI ethics. Their work signals a new frontier in protecting the integrity of next-generation visual data, positioning Li as a key voice in the responsible deployment of immersive technologies.

Research Focus

Key Achievements

1
H-Index
1
Papers
1
Total Citations
1
Avg Citations/Paper
🏆 Most Cited Paper
Hide-in-Motion: Embedding Steganographic Copyright Information into 4D Gaussian Splatting Assets
1 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Chinese University of Hong Kong

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago