Yongqiang Yao

Papers

Total Citations

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About

Yongqiang Yao is a researcher in computer vision and deep learning, with a primary focus on action recognition and attention mechanisms. His most cited work, "Survey of Action Recognition Based on Attention Mechanism" (2021), provides a comprehensive analysis of how attention-based models enhance the accuracy and efficiency of recognizing human actions in video data. This survey synthesizes key advancements in the field, offering a valuable resource for researchers exploring spatiotemporal feature learning and neural network interpretability. While his citation count is still growing, Yao's contribution lies in systematically mapping the intersection of attention mechanisms and action recognition—a rapidly evolving area critical for applications in surveillance, human-computer interaction, and autonomous systems. His work serves as a foundational reference for students and practitioners seeking to understand the state-of-the-art in this domain. As the field continues to expand, Yao's survey remains a key entry point for those investigating how attention can improve video understanding, highlighting his role in shaping the discourse around efficient and robust action recognition models.