most citedEnhance the Motion Cues for Face Anti-Spoofing using CNN-LSTM Architecture

27 citations · 49 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV2019

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…

cs.CV201927 cited

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…

cs.CV201922 cited

Learning Generalizable and Identity-Discriminative Representations for Face Anti-Spoofing

Xiaoguang Tu, Jian Zhao, Mei Xie +5

Face anti-spoofing (a.k.a presentation attack detection) has drawn growing attention due to the high-security demand in face authentication systems. Existing CNN-based approaches u…

cs.CV2019

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…

cs.CV2018

Detecting Multi-Oriented Text with Corner-based Region Proposals

Linjie Deng, Yanxiang Gong, Yi Lin +5

Previous approaches for scene text detection usually rely on manually defined sliding windows. This work presents an intuitive two-stage region-based method to detect multi-oriente…