Research Areas

• Artificial Intelligence
• Media

Research Interests

• Computer Vision
• Machine Learning

Profile

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.

Current Projects

• Efficient Modelling and Learning for Video Understanding
• 3D Hand Pose Estimation
• Interactive Segmentation

Selected Publications

• 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.

Teaching (2019/2020)

• CS5242: Neural Networks and Deep Learning
• CS4243: Computer Vision and Pattern Recognition