6 citations · 6 across the 2 of their papers we have counts for
3 papers
cs.CV2019★ 6 cited
Lightweight Real-time Makeup Try-on in Mobile Browsers with Tiny CNN Models for Facial Tracking
TianXing Li, Zhi Yu, Edmund Phung +3
Recent works on convolutional neural networks (CNNs) for facial alignment have demonstrated unprecedented accuracy on a variety of large, publicly available datasets. However, the…
cs.CV2019
Nail Polish Try-On: Realtime Semantic Segmentation of Small Objects for Native and Browser Smartphone AR Applications
Brendan Duke, Abdalla Ahmed, Edmund Phung +2
We provide a system for semantic segmentation of small objects that enables nail polish try-on AR applications to run client-side in realtime in native and web mobile applications.…
cs.CV2018
Real-time deep hair matting on mobile devices
Alex Levinshtein, Cheng Chang, Edmund Phung +3
Augmented reality is an emerging technology in many application domains. Among them is the beauty industry, where live virtual try-on of beauty products is of great importance. In…