OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Learning Generalized Spoof Cues for Face Anti-spoofing
Haocheng Feng, Zhibin Hong, Haixiao Yue, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

Deep Learning for Face Anti-Spoofing: A Survey
Zitong Yu, Yunxiao Qin, Xiaobai Li, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022), pp. 1-22
Open Access | Times Cited: 123

PatchNet: A Simple Face Anti-Spoofing Framework via Fine-Grained Patch Recognition
Chien-Yi Wang, Yu-Ding Lu, Shang-Ta Yang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
Open Access | Times Cited: 96

Revisiting Pixel-Wise Supervision for Face Anti-Spoofing
Zitong Yu, Xiaobai Li, Jingang Shi, et al.
IEEE Transactions on Biometrics Behavior and Identity Science (2021) Vol. 3, Iss. 3, pp. 285-295
Open Access | Times Cited: 97

MSTA-Net: Forgery Detection by Generating Manipulation Trace Based on Multi-Scale Self-Texture Attention
Jiachen Yang, Shuai Xiao, Aiyun Li, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2021) Vol. 32, Iss. 7, pp. 4854-4866
Closed Access | Times Cited: 90

Spoof Trace Disentanglement for Generic Face Anti-Spoofing
Yaojie Liu, Xiaoming Liu
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022), pp. 1-1
Closed Access | Times Cited: 29

Cyclically Disentangled Feature Translation for Face Anti-spoofing
Haixiao Yue, Keyao Wang, Guosheng Zhang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 3, pp. 3358-3366
Open Access | Times Cited: 16

A review of state-of-the-art in Face Presentation Attack Detection: From early development to advanced deep learning and multi-modal fusion methods
Faseela Abdullakutty, Eyad Elyan, Pamela Johnston
Information Fusion (2021) Vol. 75, pp. 55-69
Open Access | Times Cited: 36

Unified Detection of Digital and Physical Face Attacks
Debayan Deb, Xiaoming Liu, Anil K. Jain
(2023), pp. 1-8
Open Access | Times Cited: 15

Dual-Branch Meta-Learning Network With Distribution Alignment for Face Anti-Spoofing
Yunpei Jia, Jie Zhang, Shiguang Shan
IEEE Transactions on Information Forensics and Security (2021) Vol. 17, pp. 138-151
Closed Access | Times Cited: 28

Domain Adversarial Disentanglement Network With Cross-Domain Synthesis for Generalized Face Anti-Spoofing
Wenjun Yan, Ying Zeng, Haifeng Hu
IEEE Transactions on Circuits and Systems for Video Technology (2022) Vol. 32, Iss. 10, pp. 7033-7046
Closed Access | Times Cited: 20

Disentangled Representation with Dual-stage Feature Learning for Face Anti-spoofing
Yuchun Wang, Chien-Yi Wang, Shang‐Hong Lai
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2022), pp. 1234-1243
Open Access | Times Cited: 16

Wild Face Anti-Spoofing Challenge 2023: Benchmark and Results
Dong Wang, Jia Guo, Qiqi Shao, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2023), pp. 6380-6391
Open Access | Times Cited: 9

Matrix-Regularized One-Class Multiple Kernel Learning for Unseen Face Presentation Attack Detection
Shervin Rahimzadeh Arashloo
IEEE Transactions on Information Forensics and Security (2021) Vol. 16, pp. 4635-4647
Closed Access | Times Cited: 18

An Effective Face Anti-Spoofing Method via Stereo Matching
Zhishan Li, Jiayan Yuan, Baozhi Jia, et al.
IEEE Signal Processing Letters (2021) Vol. 28, pp. 847-851
Closed Access | Times Cited: 16

Unknown Face Presentation Attack Detection via Localized Learning of Multiple Kernels
Shervin Rahimzadeh Arashloo
IEEE Transactions on Information Forensics and Security (2023) Vol. 18, pp. 1421-1432
Closed Access | Times Cited: 6

A Dataset and Benchmark Towards Multi-Modal Face Anti-Spoofing Under Surveillance Scenarios
Xudong Chen, Shugong Xu, Qiaobin Ji, et al.
IEEE Access (2021) Vol. 9, pp. 28140-28155
Open Access | Times Cited: 14

Towards Face Presentation Attack Detection Based on Residual Color Texture Representation
Yuting Du, Tong Qiao, Ming Xu, et al.
Security and Communication Networks (2021) Vol. 2021, pp. 1-16
Open Access | Times Cited: 14

One-Class Face Anti-Spoofing via Spoof Cue Map-Guided Feature Learning
Peikai Huang, Jason Chiang, Tzu‐Hsien Chen, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 9, pp. 277-286
Closed Access | Times Cited: 1

Face Anti-Spoofing by Learning Polarization Cues in a Real-World Scenario
Yu Tian, Kunbo Zhang, Leyuan Wang, et al.
(2020), pp. 129-137
Open Access | Times Cited: 11

CelebA-Spoof Challenge 2020 on Face Anti-Spoofing: Methods and Results
Yuanhan Zhang, Zhenfei Yin, Jing Shao, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 10

One-Class Learning Method Based on Live Correlation Loss for Face Anti-Spoofing
Seokjae Lim, Yongjae Gwak, Wonjun Kim, et al.
IEEE Access (2020) Vol. 8, pp. 201635-201648
Open Access | Times Cited: 10

Deep Learning for Face Anti-Spoofing: A Survey
Zitong Yu, Yunxiao Qin, Xiaobai Li, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 9

Robustness of Speech Spoofing Detectors Against Adversarial Post-Processing of Voice Conversion
Yi-Yang Ding, Hao-Jian Lin, Lijuan Liu, et al.
IEEE/ACM Transactions on Audio Speech and Language Processing (2021) Vol. 29, pp. 3415-3426
Closed Access | Times Cited: 9

A Personalized Benchmark for Face Anti-spoofing
Davide Belli, Debasmit Das, Bence Major, et al.
(2022), pp. 338-348
Closed Access | Times Cited: 6

One-Class Classification Using ℓp-Norm Multiple Kernel Fisher Null Approach
Shervin Rahimzadeh Arashloo
IEEE Transactions on Image Processing (2023) Vol. 32, pp. 1843-1856
Closed Access | Times Cited: 3

Page 1 - Next Page

Scroll to top