Seonwook Park
Papers
2
Total Citations
318
H-Index
2
About
Seonwook Park is a leading researcher in computer vision, with a primary focus on gaze estimation and human-computer interaction. His most influential contribution is the creation of the **ETH-XGaze dataset**, a large-scale resource designed to address the critical challenge of gaze estimation under extreme head poses and gaze variations. This dataset, introduced in his 2020 paper, has garnered over 297 citations, underscoring its foundational role in the field. By providing a standardized benchmark with diverse and challenging conditions, Park’s work has enabled more robust and comparable evaluations of gaze estimation methods, pushing the boundaries of what is possible in applications ranging from robotics to assistive technology. His research directly tackles the limitations of earlier, smaller datasets, offering a comprehensive solution for training and testing state-of-the-art models. Park’s contributions have not only advanced academic understanding but also have practical implications for improving human-robot interaction and user experience in real-world settings. His work remains a cornerstone for researchers aiming to develop more accurate and reliable gaze estimation systems.
Research Focus
Key Achievements
Top Papers
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- 2