COM3-02-26
660 17948

https://www.comp.nus.edu.sg/~ayao

Angela YAO

Dean's Chair Assistant Professor

  • Ph.D. (ETH Zurich, Switzerland)
  • M.Sc. (ETH Zurich, Switzerland)
  • B.A.Sc. (Engineering Science, University of Toronto, Canada)

My research centers on the visual perception of people. People are arguably one of the most important types of content in images and video, and many intelligent systems rely on the perception and the interpretation of people in the real world. My research program covers both high-level semantics and lower-level physical modelling of people. On the semantics side, my research centers on video understanding relating to human actions. On the physical side, my research centers on human 3D modelling, covering topics such as 3D pose and 3D shape estimation of the body and hand.

RESEARCH INTERESTS

  • Computer Vision

  • Machine Learning

RESEARCH PROJECTS

"Small Data" AI with Synthesis and Augmentation

This project focuses on overcoming small data sets in AI through the generation of synthesized training samples, effectively achieving knowledge-based synthesis and high-dimensional data efficiency, especially with images and videos.


RESEARCH GROUPS

Computer Vision and Machine Learning Group

https://cvml.comp.nus.edu.sg/


TEACHING INNOVATIONS

SELECTED PUBLICATIONS

AWARDS & HONOURS

  • NRF Fellowship for Artificial Intelligence, 2019

  • German Pattern Recognition (DAGM) Award, 2018.

MODULES TAUGHT

CS4243
Computer Vision and Pattern Recognition
CS6244
Advanced Topics in Robotics

 

In the News

Faculty Teaching Excellence Award 2024
9 February 2024
A total of 20 NUS Computing faculty members were honoured with Teaching Excellence awards on 26 January 2024. The NUS ...
13 August 2021
13 August 2021 - NUS Computing faculty members, Professor Joxan Jaffar, Associate Professor Prateek Saxena and Assistant Professor Angela Yao, ...

Knowledge@Computing

14 May 2020
To understand the work she does, Angela Yao says to imagine a future where robot helpers are commonplace. Whether they’re ...