Eu Wern Teh

According to our database, Eu Wern Teh authored at least 11 papers between 2011 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Embracing Annotation Efficient Learning (AEL) for Digital Pathology and Natural Images.

Eu Wern Teh

CoRR, 2022

Learning with Less Labels in Digital Pathology via Scribble Supervision from Natural Images.

Eu Wern Teh, Graham W. Taylor

CoRR, 2022

Understanding the impact of image and input resolution on deep digital pathology patch classifiers.

Eu Wern Teh, Graham W. Taylor

Proceedings of the 19th Conference on Robots and Vision, 2022

The GIST and RIST of Iterative Self-Training for Semi-Supervised Segmentation.

Eu Wern Teh, Terrance DeVries, Brendan Duke, Ruowei Jiang, Parham Aarabi, Graham W. Taylor

Proceedings of the 19th Conference on Robots and Vision, 2022

2020

Learning with Less Data Via Weakly Labeled Patch Classification in Digital Pathology.

Eu Wern Teh, Graham W. Taylor

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis.

Eu Wern Teh, Terrance DeVries, Graham W. Taylor

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Apparent Age Estimation with Relational Networks.

Eu Wern Teh, Graham W. Taylor

Proceedings of the 16th Conference on Computer and Robot Vision, 2019

2017

Object localization in weakly labeled data using regularized attention networks.

Eu Wern Teh, Zhenyu Guo, Yang Wang

Proceedings of the 2017 IEEE Visual Communications and Image Processing, 2017

Adapting Object Detectors from Images to Weakly Labeled Videos.

Omit Chanda, Eu Wern Teh, Mrigank Rochan, Zhenyu Guo, Yang Wang

Proceedings of the British Machine Vision Conference 2017, 2017

2016

Attention Networks for Weakly Supervised Object Localization.

Eu Wern Teh, Mrigank Rochan, Yang Wang

Proceedings of the British Machine Vision Conference 2016, 2016

2011

Visual Analytics of Social Networks: Mining and Visualizing Co-authorship Networks.

Carson Kai-Sang Leung, Christopher L. Carmichael, Eu Wern Teh

Proceedings of the Foundations of Augmented Cognition. Directing the Future of Adaptive Systems, 2011