Huayi Zhou
Papers
3
Total Citations
9
H-Index
3
About
Huayi Zhou is a researcher advancing the frontiers of embodied intelligence and human-centric computer vision. His work bridges the critical gap between robotic learning and multi-person scene understanding. Zhou is best known for pioneering efficient, one-shot learning in robotics, as demonstrated in his highly cited work, "You Only Teach Once," which enables bimanual robotic manipulation from a single video demonstration—a breakthrough that dramatically reduces the data and training burden for complex, real-world tasks. In parallel, he has made significant contributions to human body orientation estimation (HBOE), a core technology for autonomous driving, surveillance, and pedestrian analysis. His unified embedding approach for joint multi-person body detection and orientation estimation, published in 2022 and 2024, provides a robust, end-to-end solution for challenging in-the-wild environments, achieving high accuracy without the need for complex, multi-stage pipelines. With his papers already garnering early citations, Zhou’s work is rapidly shaping how robots learn from humans and how machines perceive human intent in crowded, dynamic scenes.
Research Focus
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Top Papers
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