Eu Wern Teh — accepted AI-conference papers

2024

3D Face Tracking from 2D Video through Iterative Dense UV to Image Flow

Felix Taubner, Prashant Raina, Mathieu Tuli, Eu Wern Teh, Chul Lee, Jinmiao Huang

CVPR 2024poster

When working with 3D facial data improving fidelity and avoiding the uncanny valley effect is critically dependent on accurate 3D facial performance capture. Because such methods are expensive and due to the widespread availability of 2D videos recent methods have focused on how to perform monocular…

Cited by 2 Source ↗PDF ↗code ↗Scholar ↗

2020

ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis

Eu Wern Teh, Terrance DeVries, Graham W. Taylor

ECCV 2020poster

We consider the problem of distance metric learning (DML), where the task is to learn an effective similarity measure between images. We revisit ProxyNCA and incorporate several enhancements. We find that low temperature scaling is a performance-critical component and explain why it works. Besides,…

Cited by 211 Source ↗PDF ↗Scholar ↗