Xuying Huang
Papers
1
Total Citations
4
H-Index
1
About
Xuying Huang is a rising researcher at the intersection of computer vision, robotics, and 3D reconstruction. Her work focuses on enabling autonomous systems to efficiently perceive and interact with their environments, particularly through the challenging problem of view planning for object reconstruction. In her notable 2024 paper, "Exploiting Priors from 3D Diffusion Models for RGB-Based One-Shot View Planning," Huang introduces a novel approach that leverages the powerful priors learned by 3D diffusion models to solve one-shot view planning—determining the single best camera viewpoint to capture an unknown object. This work addresses a critical bottleneck in robotic manipulation and inspection, where an agent must gather informative measurements without prior exploration. While her career is early-stage, with her most-cited paper accumulating 4 citations, the conceptual impact of integrating generative priors into active perception is significant, pointing toward more sample-efficient and intelligent robotic systems. Huang’s research sits at the forefront of combining generative AI with robotics, promising to make autonomous object understanding faster and more robust.
Research Focus
Key Achievements
Top Papers
- 1