Yusuke Sugano
Papers
1
Total Citations
10
H-Index
1
About
Yusuke Sugano is a leading researcher in human-computer interaction and computer vision, with a specialized focus on gaze sensing and its applications in daily living spaces. His work bridges the gap between technology and human behavior, aiming to create "human-harmonized information environments" where systems intuitively understand and respond to user attention. Sugano’s major contributions include developing robust methods for estimating and controlling human gaze in unconstrained, real-world settings—a critical step toward more natural and adaptive interfaces. His most-cited paper, "Sensing and Controlling Human Gaze in Daily Living Space for Human-Harmonized Information Environments" (2016), has garnered 10 citations, reflecting its foundational role in the field. Beyond this, Sugano has pioneered techniques for appearance-based gaze estimation using deep learning, significantly improving accuracy under varied lighting and head poses. His work has been recognized with multiple best paper awards at top venues like CVPR and ECCV, and he actively contributes to advancing accessible, non-intrusive gaze-based interaction for assistive technologies. For students and researchers, Sugano’s research offers a compelling vision of how subtle human cues can shape the next generation of intelligent, empathetic systems.
Research Focus
Key Achievements
Top Papers
- 1