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20182021
most citedEnhance the Motion Cues for Face Anti-Spoofing using CNN-LSTM Architecture

27 citations · 79 across the 10 of their papers we have counts for

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13 papers · 1 filter

cs.CV2021

Image-to-Video Generation via 3D Facial Dynamics

Xiaoguang Tu, Yingtian Zou, Jian Zhao +8

We present a versatile model, FaceAnime, for various video generation tasks from still images. Video generation from a single face image is an interesting problem and usually tackl…

cs.CV2021

Joint Face Image Restoration and Frontalization for Recognition

Xiaoguang Tu, Jian Zhao, Qiankun Liu +5

In real-world scenarios, many factors may harm face recognition performance, e.g., large pose, bad illumination,low resolution, blur and noise. To address these challenges, previou…

cs.CV2020

What's the relationship between CNNs and communication systems?

Hao Ge, Xiaoguang Tu, Yanxiang Gong +2

The interpretability of Convolutional Neural Networks (CNNs) is an important topic in the field of computer vision. In recent years, works in this field generally adopt a mature mo…

cs.CV20201 cited

Face Attribute Invertion

X G Tu, Y Luo, H S Zhang +3

Manipulating human facial images between two domains is an important and interesting problem. Most of the existing methods address this issue by applying two generators or one gene…

cs.CV20191 cited

Defending from adversarial examples with a two-stream architecture

Hao Ge, Xiaoguang Tu, Mei Xie +1

In recent years, deep learning has shown impressive performance on many tasks. However, recent researches showed that deep learning systems are vulnerable to small, specially craft…

cs.CV201918 cited

Cross-Resolution Face Recognition via Prior-Aided Face Hallucination and Residual Knowledge Distillation

Hanyang Kong, Jian Zhao, Xiaoguang Tu +3

Recent deep learning based face recognition methods have achieved great performance, but it still remains challenging to recognize very low-resolution query face like 28x28 pixels…