Shintami Chusnul Hidayati

National Taiwan University of Science and Technology

Papers

Total Citations

H-Index

About

Shintami Chusnul Hidayati is a researcher whose work bridges computer vision, multimedia analytics, and fashion intelligence. Her research focuses on scene understanding and content-based image retrieval, with notable contributions to spatial-pyramid scene categorization. She developed a locality-aware sparse coding algorithm for natural scene recognition, addressing the challenge of analyzing complex images under varying illumination—a foundational problem with applications spanning object detection, intelligent vehicle navigation, and image indexing. This work, published in 2016, has garnered 8 citations and remains relevant to researchers tackling scene-level visual understanding. Beyond scene analysis, Hidayati has made significant strides in fashion-oriented visual analytics, including work on clothing attribute recognition and person re-identification, demonstrating her versatility in applying computer vision to real-world domains. Her research impact is reflected in a growing citation record that underscores the practical value of her methods for both academic and industrial applications. As a researcher committed to advancing visual intelligence, Hidayati continues to explore how machines can interpret complex visual environments, from natural landscapes to human-centric scenes, making her work valuable for students and practitioners in computer vision and multimedia retrieval.