Eu Wern Teh

Research Assistant
Machine Learning Research Group
School of Engineeering
University of Guelph

CVGoogle Scholar

About Me

I am a Research Assistant working at the Machine Learning Research Group in the University of Guelph where I am advised by Prof. Graham Taylor. My research is focused on Machine Learning, Deep Learning and Computer Vision. I have 3.5 years of experience in Machine Learning and 4.5 years of Software Development experience. I received both of my M.Sc. and B.Sc. degree in Computer Science from the University of Manitoba.

Recent News

  • NEW 07/2018: Attended ANR-NSERC Deepvision Meeting in Iceland. (Canada-France research collaboration)
  • NEW 07/2018: Presented at the Machine Learning workshop in Iceland
  • NEW 07/2018: Attended 2018 Deep Learning Summer School in Toronto
  • 08/2017: I have a paper accepted to VCIP 2017!
  • 07/2017: I have a paper accepted to BMVC 2017!
  • 07/2016: I have a paper accepted to BMVC 2016!



Object Localization in Weakly Labeled Data Using Regularized Attention Networks
Eu Wern Teh, Zhenyu Guo and Yang Wang
Vision Communications and Image Processing (VCIP), 2017.

Adapting Object Detectors from Images to Weakly Labeled Videos
Omit Chanda, Eu Wern Teh, Mrigank Rochan, Zhenyu Guo, and Yang Wang
British Machine Vision Conference (BMVC), 2017.

Attention Networks for Weakly Supervised Object Localization
Eu Wern Teh, Mrigank Rochan, and Yang Wang
British Machine Vision Conference (BMVC), 2016.

Visual Analytics of Social Networks: Mining and Visualizing Co-authorship Networks
Carson Leung, Christopher Carmichael, Eu Wern Teh
Foundations of Augmented Cognition. (FAC), 2011.

Imitation is the sincerest form of flattery!