105 citations · 236 across the 7 of their papers we have counts for
7 papers
Distribution Fitting for Combating Mode Collapse in Generative Adversarial Networks
Yanxiang Gong, Zhiwei Xie, Guozhen Duan +2
Mode collapse is a significant unsolved issue of generative adversarial networks. In this work, we examine the causes of mode collapse from a novel perspective. Due to the nonunifo…
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…
Generating Text Sequence Images for Recognition
Yanxiang Gong, Linjie Deng, Zheng Ma +1
Recently, methods based on deep learning have dominated the field of text recognition. With a large number of training data, most of them can achieve the state-of-the-art performan…
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…
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…
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…
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…