Wentao Bao
Papers
1
Total Citations
6
H-Index
1
About
Wentao Bao is a rising researcher at the forefront of embodied artificial intelligence and egocentric vision, with a particular focus on understanding human motion and intention from first-person video. His most-cited work, "MADiff: Motion-Aware Mamba Diffusion Models for Hand Trajectory Prediction on Egocentric Videos" (2025, 6 citations), introduces a novel framework that leverages motion-aware Mamba and diffusion models to predict hand trajectories—a critical capability for advancing extended reality (XR) and human-robot interaction. By tackling the challenge of anticipating human actions directly from egocentric perspectives, Bao’s research bridges computer vision and embodied AI, enabling more intuitive and responsive systems. His contributions are particularly impactful for downstream tasks such as gesture recognition, activity forecasting, and assistive robotics. With a growing citation footprint and a focus on real-world applications, Bao is establishing himself as a key voice in the next generation of vision-based human behavior analysis.
Research Focus
Key Achievements
Top Papers
- 1