27 citations · 27 across the 2 of their papers we have counts for
4 papers
Learning Robust 3D Face Reconstruction and Discriminative Identity Representation
Yao Luo, Xiaoguang Tu, Mei Xie
3D face reconstruction from a single 2D image is a very important topic in computer vision. However, the current reconstruction methods are usually non-sensitive to face identities…
3D Face Reconstruction from A Single Image Assisted by 2D Face Images in the Wild
Xiaoguang Tu, Jian Zhao, Zihang Jiang +6
3D face reconstruction from a single 2D image is a challenging problem with broad applications. Recent methods typically aim to learn a CNN-based 3D face model that regresses coeff…
Enhance the Motion Cues for Face Anti-Spoofing using CNN-LSTM Architecture
Xiaoguang Tu, Hengsheng Zhang, Mei Xie +3
Spatio-temporal information is very important to capture the discriminative cues between genuine and fake faces from video sequences. To explore such a temporal feature, the fine-g…
Deep Transfer Across Domains for Face Anti-spoofing
Xiaoguang Tu, Hengsheng Zhang, Mei Xie +3
A practical face recognition system demands not only high recognition performance, but also the capability of detecting spoofing attacks. While emerging approaches of face anti-spo…