CVPR 2024 Open Access Repository

The 5th Face Anti-Spoofing Workshop

IDAdapter: Learning Mixed Features for Tuning-Free Personalization of Text-to-Image Models: Siying Cui,

Jia Guo,

Xiang An,

Jiankang Deng,

Yongle Zhao,

Xinyu Wei,

Ziyong Feng; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Cui_2024_CVPR, author = {Cui, Siying and Guo, Jia and An, Xiang and Deng, Jiankang and Zhao, Yongle and Wei, Xinyu and Feng, Ziyong}, title = {IDAdapter: Learning Mixed Features for Tuning-Free Personalization of Text-to-Image Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {950-959} }
Rethinking the Domain Gap in Near-infrared Face Recognition: Michail Tarasiou,

Jiankang Deng,

Stefanos Zafeiriou; [pdf] [arXiv]
[bibtex]
@InProceedings{Tarasiou_2024_CVPR, author = {Tarasiou, Michail and Deng, Jiankang and Zafeiriou, Stefanos}, title = {Rethinking the Domain Gap in Near-infrared Face Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {940-949} }
A Visualization Method for Data Domain Changes in CNN Networks and the Optimization Method for Selecting Thresholds in Classification Tasks: Minzhe Huang,

Changwei Nie,

Weihong Zhong; [pdf] [arXiv]
[bibtex]
@InProceedings{Huang_2024_CVPR, author = {Huang, Minzhe and Nie, Changwei and Zhong, Weihong}, title = {A Visualization Method for Data Domain Changes in CNN Networks and the Optimization Method for Selecting Thresholds in Classification Tasks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {986-994} }
Assessing the Performance of Efficient Face Anti-Spoofing Detection Against Physical and Digital Presentation Attacks: Luis S. Luevano,

Yoanna Martínez-Díaz,

Heydi Méndez-Vázquez,

Miguel González-Mendoza,

Davide Frey; [pdf]
[bibtex]
@InProceedings{Luevano_2024_CVPR, author = {Luevano, Luis S. and Mart{\'\i}nez-D{\'\i}az, Yoanna and M\'endez-V\'azquez, Heydi and Gonz\'alez-Mendoza, Miguel and Frey, Davide}, title = {Assessing the Performance of Efficient Face Anti-Spoofing Detection Against Physical and Digital Presentation Attacks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {1021-1028} }
Multi-angle Consistent Generative NeRF with Additive Angular Margin Momentum Contrastive Learning: Hang Zou,

Hui Zhang,

Yuan Zhang,

Hui Ma,

Dexin Zhao,

Qi Zhang,

Qi Li; [pdf]
[bibtex]
@InProceedings{Zou_2024_CVPR, author = {Zou, Hang and Zhang, Hui and Zhang, Yuan and Ma, Hui and Zhao, Dexin and Zhang, Qi and Li, Qi}, title = {Multi-angle Consistent Generative NeRF with Additive Angular Margin Momentum Contrastive Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {930-939} }
Unified Face Attack Detection with Micro Disturbance and a Two-Stage Training Strategy: Jiaruo Yu,

Dagong Lu,

Xingyue Shi,

Chenfan Qu,

Fengjun Guo; [pdf]
[bibtex]
@InProceedings{Yu_2024_CVPR, author = {Yu, Jiaruo and Lu, Dagong and Shi, Xingyue and Qu, Chenfan and Guo, Fengjun}, title = {Unified Face Attack Detection with Micro Disturbance and a Two-Stage Training Strategy}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {960-969} }
Joint Physical-Digital Facial Attack Detection Via Simulating Spoofing Clues: Xianhua He,

Dashuang Liang,

Song Yang,

Zhanlong Hao,

Hui Ma,

Binjie Mao,

Xi Li,

Yao Wang,

Pengfei Yan,

Ajian Liu; [pdf] [arXiv]
[bibtex]
@InProceedings{He_2024_CVPR, author = {He, Xianhua and Liang, Dashuang and Yang, Song and Hao, Zhanlong and Ma, Hui and Mao, Binjie and Li, Xi and Wang, Yao and Yan, Pengfei and Liu, Ajian}, title = {Joint Physical-Digital Facial Attack Detection Via Simulating Spoofing Clues}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {995-1004} }
Multiattention-Net: A Novel Approach to Face Anti-Spoofing with Modified Squeezed Residual Blocks: Sabari Nathan,

M.Parisa Beham,

A Nagaraj,

S. Mohamed Mansoor Roomi; [pdf]
[bibtex]
@InProceedings{Nathan_2024_CVPR, author = {Nathan, Sabari and Beham, M.Parisa and Nagaraj, A and Roomi, S. Mohamed Mansoor}, title = {Multiattention-Net: A Novel Approach to Face Anti-Spoofing with Modified Squeezed Residual Blocks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {1013-1020} }
Supervised Contrastive Learning for Snapshot Spectral Imaging Face Anti-Spoofing: Chuanbiao Song,

Yan Hong,

Jun Lan,

Huijia Zhu,

Weiqiang Wang,

Jianfu Zhang; [pdf] [arXiv]
[bibtex]
@InProceedings{Song_2024_CVPR, author = {Song, Chuanbiao and Hong, Yan and Lan, Jun and Zhu, Huijia and Wang, Weiqiang and Zhang, Jianfu}, title = {Supervised Contrastive Learning for Snapshot Spectral Imaging Face Anti-Spoofing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {980-985} }
Advancing Cross-Domain Generalizability in Face Anti-Spoofing: Insights Design and Metrics: Hyojin Kim,

Jiyoon Lee,

Yonghyun Jeong,

Haneol Jang,

Youngjoon Yoo; [pdf]
[bibtex]
@InProceedings{Kim_2024_CVPR, author = {Kim, Hyojin and Lee, Jiyoon and Jeong, Yonghyun and Jang, Haneol and Yoo, Youngjoon}, title = {Advancing Cross-Domain Generalizability in Face Anti-Spoofing: Insights Design and Metrics}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {970-979} }
Snapshot Spectral Imaging for Face Anti-Spoofing: Addressing Data Challenges with Advanced Processing and Training: Hui Li,

Yaowen Xu,

Zhaofan Zou,

Zhixiang He; [pdf]
[bibtex]
@InProceedings{Li_2024_CVPR, author = {Li, Hui and Xu, Yaowen and Zou, Zhaofan and He, Zhixiang}, title = {Snapshot Spectral Imaging for Face Anti-Spoofing: Addressing Data Challenges with Advanced Processing and Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {1005-1012} }
Unified Physical-Digital Attack Detection Challenge: Haocheng Yuan,

Ajian Liu,

Junze Zheng,

Jun Wan,

Jiankang Deng,

Sergio Escalera,

Hugo Jair Escalante,

Isabelle Guyon,

Zhen Lei; [pdf] [arXiv]
[bibtex]
@InProceedings{Yuan_2024_CVPR, author = {Yuan, Haocheng and Liu, Ajian and Zheng, Junze and Wan, Jun and Deng, Jiankang and Escalera, Sergio and Escalante, Hugo Jair and Guyon, Isabelle and Lei, Zhen}, title = {Unified Physical-Digital Attack Detection Challenge}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {919-929} }