Eu Wern Teh

Research Assistant
Machine Learning Research Group
School of Engineeering
University of Guelph
Email: euwern1987@gmail.com

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 05/2019: I have a paper accepted to MIDL 2019!
  • NEW 04/2019: I have a paper accepted to CRV 2019!
  • 07/2018: Attended ANR-NSERC Deepvision Meeting in Iceland. (Canada-France research collaboration)
  • 07/2018: Presented at the Machine Learning workshop in Iceland
  • 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!

 

Research

Metric Learning for Patch Classification in Digital Pathology
Eu Wern Teh and Graham Taylor
Medical Imaging with Deep Learning (MIDL), 2019.
[paper]

Apparent Age Estimation with Relational Networks
Eu Wern Teh and Graham Taylor
Conference on Computer and Robot Vision (CRV), 2019.
[paper]
[source code]

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.
[paper]

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.
[paper]

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

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

Imitation is the sincerest form of flattery!