Xuejiao Hu

Papers

Total Citations

H-Index

About

Xuejiao Hu is a researcher whose work focuses on the intersection of computer vision and human behavior analysis, with a particular emphasis on video understanding. Her most-cited paper, "Online human action detection and anticipation in videos: A survey" (2022), has garnered 34 citations, establishing her as a key voice in this rapidly evolving field. This survey provides a comprehensive taxonomy of methods for detecting and predicting human actions in real-time video streams, a critical capability for applications ranging from autonomous driving to surveillance and human-robot interaction. Hu's contributions are especially notable for synthesizing complex, often fragmented research into a coherent framework, making it an essential resource for both newcomers and seasoned researchers. Her work highlights the challenges of temporal modeling and online inference, paving the way for more robust and responsive AI systems. By bridging the gap between detection and anticipation, Hu is helping to shape the next generation of intelligent systems that can understand and react to human behavior as it unfolds.