activity
20172021
most citedLearning Generalizable and Identity-Discriminative Representations for Face Anti-Spoofing

22 citations · 47 across the 6 of their papers we have counts for

collaborators

11 papers

cs.CV2021

A Unified Framework for Biphasic Facial Age Translation with Noisy-Semantic Guided Generative Adversarial Networks

Muyi Sun, Jian Wang, Yunfan Liu +2

Biphasic facial age translation aims at predicting the appearance of the input face at any age. Facial age translation has received considerable research attention in the last deca…

cs.CV202110 cited

CelebA-Spoof Challenge 2020 on Face Anti-Spoofing: Methods and Results

Yuanhan Zhang, Zhenfei Yin, Jing Shao +22

As facial interaction systems are prevalently deployed, security and reliability of these systems become a critical issue, with substantial research efforts devoted. Among them, fa…

cs.CV20196 cited

Multi-Prototype Networks for Unconstrained Set-based Face Recognition

Jian Zhao, Jianshu Li, Xiaoguang Tu +6

In this paper, we study the challenging unconstrained set-based face recognition problem where each subject face is instantiated by a set of media (images and videos) instead of a…

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.CV2018

-Nets: Double Attention Networks

Yunpeng Chen, Yannis Kalantidis, Jianshu Li +2

Learning to capture long-range relations is fundamental to image/video recognition. Existing CNN models generally rely on increasing depth to model such relations which is highly i…

cs.CV2018

Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition

Jian Zhao, Yu Cheng, Yi Cheng +12

Despite the remarkable progress in face recognition related technologies, reliably recognizing faces across ages still remains a big challenge. The appearance of a human face chang…