Angela Yao
Angela Yao
National University of Singapore
Names
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Emails
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****@cs.uni-bonn.de
, ****@vision.ee.ethz.ch
, ****@comp.nus.edu.sg
Personal Links
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Education & Career History
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Assistant Professor
National University of Singapore (nus.edu.sg)
2018 – Present
Assistant Professor
University of Bonn (uni-bonn.de)
2015 – 2018
Graduate Student
Swiss Federal Institute of Technology (ethz.ch)
2006 – 2014
Advisors, Relations & Conflicts
Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.
PhD Advisee
Ziwei Yu
****@u.nus.edu
2019 – Present
PhD Advisee
Dipika Singhania
****@comp.nus.edu.sg
2019 – Present
PhD Advisee
Linlin Yang
****@cs.uni-bonn.de
2018 – Present
PhD Advisee
Moritz Wolter
****@cs.uni-bonn.de
2017 – Present
PhD Advisee
Fadime Sener
****@cs.uni-bonn.de
2016 – Present
PhD Advisee
Soumajit Majumder
****@cs.uni-bonn.de
2015 – Present
Coauthor
Reinhard Klein
****@cs.uni-bonn.de
2017 – 2019
PhD Advisee
Chengde Wan
****@vision.ee.ethz.ch
2016 – 2019
Coauthor
Jianteng Peng
****@gmail.com
2016 – 2016
Coauthor
Jun Li
****@njust.edu.cn
2016 – 2016
Coauthor
Jianbing Shen
****@bit.edu.cn
2016 – 2016
Advisor
Luc Van Gool
****@vision.ee.ethz.ch
2008 – 2015
Coauthor
Pushmeet Kohli
****@microsoft.com
2012 – 2014
Coauthor
Nima Razavi
****@vision.ee.ethz.ch
2011 – 2012
Coauthor
Christian Leistner
****@microsoft.com
2011 – 2012
Coauthor
Gabriele Fanelli
****@vision.ee.ethz.ch
2010 – 2012
Advisor
Juergen Gall
****@iai.uni-bonn.de
2008 – 2012
Coauthor
Victor Lempitsky
****@skoltech.ru
2011 – 2011
Coauthor
Raquel Urtasun
****@cs.toronto.edu
2010 – 2011
Expertise
For each line, enter comma-separated keyphrases representing an intersection of your interests. Think of each line as a query for papers in which you would have expertise and interest. For example: deep learning, RNNs, dependency parsing
deep learning, hand pose estimation
2015 – Present
deep learning, action recognition
2015 – Present
deep learning, video understanding
2015 – Present
deep learning, interactive segmentation
2018 – 2020
deep learning, depth estimation
2015 – 2018
random forests, pose estimation
2010 – 2012
particle filtering, pose estimation
2010 – 2012
Gaussian process latent random variable models, pose estimation
2010 – 2012
random forests, action recognition
2009 – 2012
particle filtering, tracking
2009 – 2012