Yingying Jiang

Papers

Total Citations

235

H-Index

About

Yingying Jiang is a leading researcher in computer vision, with a primary focus on scene text detection—a critical technology enabling real-time translation, automated data entry, assistive devices for the blind, and robotic perception. Her most influential work, the 2019 paper "Arbitrary Shape Scene Text Detection With Adaptive Text Region Representation," has garnered 222 citations, establishing her as a key contributor to the field. In this seminal study, Jiang addresses a fundamental limitation of prior methods, which were largely designed for horizontal or oriented text. She proposes a novel adaptive text region representation that effectively handles text of arbitrary shapes, including curved and irregular layouts. This innovation significantly expands the applicability of scene text detection in complex, real-world environments. By tackling the challenge of non-standard text geometries, Jiang's research has paved the way for more robust and versatile visual recognition systems. Her work is widely recognized for its practical impact, bridging the gap between academic computer vision research and deployable technologies that enhance human-computer interaction and accessibility.