Zhendong Xue

Papers

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About

Zhendong Xue is a researcher whose work lies at the intersection of computer vision, robotics, and cognitive science, with a particular focus on understanding and modeling human-human interaction. His key contributions center on the visual analysis of collaborative behaviors, most notably through his work on object handover—a fundamental yet complex act of human cooperation. In his highly cited paper, "H2O: A Benchmark for Visual Human-human Object Handover Analysis" (2021, 23 citations), Xue introduced a dedicated benchmark to systematically study the entire handover process, addressing a critical gap in the field. This work provides a rich, annotated dataset that enables researchers to analyze the subtle visual cues and temporal dynamics involved in passing objects between people. By specifically targeting the visual perception challenges of this task, Xue’s research lays essential groundwork for developing more intuitive and capable robotic assistants that can seamlessly hand over objects to humans. His contributions are particularly impactful for advancing human-robot collaboration, offering a foundational resource that bridges the gap between observed human behavior and robotic implementation.