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Eu Wern Teh
Eu Wern Teh
AI Research Scientist, LG Toronto AI Lab
Verified email at lge.com - Homepage
Title
Cited by
Cited by
Year
Proxynca++: Revisiting and revitalizing proxy neighborhood component analysis
EW Teh, T DeVries, GW Taylor
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
1572020
Attention Networks for Weakly Supervised Object Localization
EW Teh, M Rochan, Y Wang
British Machine Vision Conference (BMVC), 2016
842016
Visual analytics of social networks: mining and visualizing co-authorship networks
CKS Leung, CL Carmichael, EW Teh
Foundations of Augmented Cognition. Directing the Future of Adaptive Systems …, 2011
702011
Learning with less data via weakly labeled patch classification in digital pathology
EW Teh, GW Taylor
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 471-475, 2020
282020
Metric Learning for Patch Classification in Digital Pathology
T Eu Wern, T Graham
132019
The gist and rist of iterative self-training for semi-supervised segmentation
EW Teh, T DeVries, B Duke, R Jiang, P Aarabi, GW Taylor
2022 19th Conference on Robots and Vision (CRV), 58-66, 2022
42022
Strength in diversity: Understanding the impacts of diverse training sets in self-supervised pre-training for histology images
KL Kupferschmidt, EW Teh, GW Taylor
Medical Imaging with Deep Learning, 2021
42021
Apparent Age Estimation with Relational Networks
T Eu Wern, Teh and Graham
2019 16th Conference on Computer and Robot Vision (CRV), 2019
42019
Adapting Object Detectors from Images to Weakly Labeled Videos.
O Chanda, EW Teh, M Rochan, Z Guo, Y Wang
British Machine Vision Conference (BMVC), 2017
42017
Learning with less labels in digital pathology via scribble supervision from natural images
EW Teh, GW Taylor
arXiv preprint arXiv:2201.02627, 2022
22022
Object Localization in Weakly Labeled Data Using Regularized Attention Networks.
EW Teh, Z Guo, Y Wang
IEEE Visual Communications and Image Processing (VCIP), 2017
22017
Embracing Annotation Efficient Learning (AEL) for Digital Pathology and Natural Images
EW Teh
arXiv preprint arXiv:2212.00470, 2022
2022
Understanding the impact of image and input resolution on deep digital pathology patch classifiers
EW Teh, GW Taylor
2022 19th Conference on Robots and Vision (CRV), 159-166, 2022
2022
Can weak segmentation labels from natural images aid digital pathology-based cancer classification?
EW Teh, GW Taylor
2021
Weakly supervised object localization using attention-based neural networks
EW Teh
British Machine Vision Conference, 2016
2016
Supplementary Information-ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis
EW Teh, T DeVries, GW Taylor
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Articles 1–16