Regular biography
Angela Yao is a Dean's Chair Associate Professor in the Department of Computer Science at the National University of Singapore. Her research focuses on the visual perception of people, encompassing both high-level semantics and lower-level physical modeling. She explores video understanding related to human actions and human 3D modeling, including 3D pose and shape estimation. Her work addresses challenges in AI with projects such as 'Small Data' AI through synthesized training samples. She teaches courses like CS4243 Computer Vision and Pattern Recognition and has received recognition for her research and teaching excellence.
Scholar-generated biography
Angela Yao is a researcher at the National University of Singapore, specializing in computer vision, deep learning, and machine learning. Her work focuses on advancing techniques for video understanding, action recognition, and pose estimation. She has developed frameworks for action recognition using Hough transforms and explored multi-view video datasets for procedural activity analysis. Her research also includes methods for estimating depth maps, hand pose estimation, and video question answering. Yao's contributions span both supervised and self-supervised learning approaches, emphasizing the integration of deep learning models with traditional computer vision techniques to improve performance in complex visual tasks.