Angela YAOAssistant Professor
Ph.D. (ETH Zurich, Switzerland, 2012)
M.Sc. (Biomedical Engineering, ETH Zurich, Switzerland, 2008)
B.A.Sc. (Engineering Science, University of Toronto, Canada, 2006)
- Artificial Intelligence
- Computer Vision
- Machine Learning
I am an Assistant Professor in Computer Science at the School of Computing since 2018, where I lead the Computer Vision and Machine Learning group. My students and I develop algorithms for automated interpretation of images and video. We work on topics ranging from segmentation, pose estimation, to video understanding. Before coming to NUS, I was a junior professor at the University of Bonn, Germany. I received my PhD in 2012 from ETH Zurich, where I worked in the Computer Vision Lab.
- Efficient Modelling and Learning for Video Understanding
- 3D Hand Pose Estimation
- Interactive Segmentation
Zero-Shot Anticipation for Instructional Activities. F. Sener and A. Yao. ICCV 2019.
Aligning Latent Spaces for 3D Hand Pose Estimation. L. Yang, S. Li, D. Lee, and A. Yao. ICCV 2019.
Self-supervised 3D hand pose estimation through training by fitting. C. Wan, T. Probst, L. Van Gool and A. Yao. CVPR 2019.
Content-aware multi-level guidance for interactive instance segmentation. S. Majumder, A. Yao. CVPR 2019.
Gated Complex Recurrent Neural Networks. M Wolter, A Yao. NeurIPS 2018.
Awards & Honours
- NRF Fellowship for Artificial Intelligence, 2019
- German Pattern Recognition (DAGM) Award, 2018.
- CS5242: Neural Networks and Deep Learning
- CS4243: Computer Vision and Pattern Recognition