Dimitra-Christina C. Koutsiou
Papers
1
Total Citations
18
H-Index
1
About
Dimitra-Christina C. Koutsiou is a researcher whose work sits at the intersection of computer vision and assistive technology, with a particular focus on accessibility for visually impaired individuals. Her most-cited contribution, "Staircase Detection Using a Lightweight Look-Behind Fully Convolutional Neural Network" (2019, 18 citations), exemplifies her commitment to developing efficient, real-time solutions for navigation challenges. In this work, Koutsiou introduced a novel deep learning architecture that balances accuracy with computational efficiency, enabling reliable staircase detection on resource-constrained devices—a critical step toward practical mobility aids. Her research addresses a fundamental gap in assistive systems: the need for lightweight models that can operate without cloud dependency. By prioritizing both algorithmic innovation and real-world applicability, Koutsiou has contributed to making autonomous navigation safer and more accessible. Her work continues to influence the development of embedded vision systems for the visually impaired, demonstrating how targeted deep learning solutions can have profound societal impact.
Research Focus
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Top Papers
- 1