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4th Chalearn Face Anti-spoofing Workshop and Challenge@CVPR2023
Introduction
In recent years, the security of face recognition systems has been increasingly threatened. Face Anti-spoofing (FAS) is essential to secure face recognition systems primarily from various attacks. In order to attract researchers and push forward the state of the art in Face Presentation Attack Detection (PAD), we organized three editions of Face Anti-spoofing Workshop and Competition at CVPR 2019, CVPR 2020, and ICCV 2021, which have attracted more than 800 teams from academia and industry, and greatly promoted the algorithms to overcome many challenging problems. However, long-distance face presentation attack based on surveillance scene is still a threat. Specifically, compared with FAS in traditional scenes such as phone unlocking, face payment, and self-service security inspection, FAS in long-distance such as station squares, parks, and self-service supermarkets are equally important, but it has not been sufficiently explored yet. With the goal of giving continuity to our effort in this relevant problem, we are proposing the fourth edition of the Face Anti-Spoofing Workshop and Challenge@CVPR 2023. Unlike the previous editions, where faces were identified by posing in specific situations at a close distance, the 2023 challenge will focus on more general surveillance and in the wild scenarios, and alleviating the performance degradation of PAD technology in the case of low face resolution, occlusion interference, non-frontal perspective, and other natural person behaviors. Fully considering the above difficulties and challenges, two datasets are released for this fourth edition for algorithm design and competition promotion: 1) a large-scale High Fidelity Mask dataset based on Surveillance Scenes, namely SuHiFiMask. For more information about the HiFiMask dataset, please refer to [1]; 2) a large-scale in-the-wild dataset, named Wild Face Anti-Spoofing (WFAS), which includes 529,571 live images of 148,169 identities and 853,729 spoof images of 321,751 identities.
Challenge website (Track 1: Surveillance Face Anti-spoofing): [Link]
Challenge website (Track 2: Face Anti-spoofing in the wild): [Link]
Workshop website: [Link]
Workshop Paper Submission Link: [Link]
Ref:
[1] Fang H., Liu A., Yuan H., Zheng J., Zeng D., Liu Y., Deng J., Escalera S., Liu X., Wan J., and Lei Z. (2024) Unified physical-digital face attack detection. arXiv preprint arXiv:2401.17699. [Link]
Workshop Schedule (Monday, 19 June, 2023; Location: East 1)
13:30 - 13:50 Opening of contest, Overview of results;
13:50 - 14:25 Keynote Speaker#1 (Ajay Kumar)
14:25 -14:40 Dynamic Feature Queue for Surveillance Face Anti-spoofing via Progressive Training (Track 1, 1st, Baidu)
14:40 - 14:55 Team: xuyaowen (Track 2, 1st, China Telecom)
14:55 - 15:30 Keynote Speaker#2 (Alex Kot)
15:30 - 15:50 Coffe Break
15:50 - 16:05 Adversarial Domain Generalization for Surveillance Face Anti-Spoofing (Track 1, 2nd, China Telecom)
16:05 - 16:40 Keynote Speaker#3 (Shiguang Shan)
16:40 - 16:55 Team: hexianhua (Track 2, 2nd, Meituan)
16:55 - 17:10 Bandpass Filter Based Dual-stream Network for Face Anti-spoofing (Track 1, 3rd, MaShang Comsumer Finance)
17:10 - 17:25 Team: buccellati (Track 2, 3rd, Netease)
17:25 - 17:30 Closing
Important Competition Dates:
1 February, 2023: Beginning of the quantitative competition, the release of development, and validation data(training set with true labels, validation set without true labels).
23 February, 2023: Release of encrypted final evaluation data (test data without true labels, release the true labels of validation set).
24 February, 2023: Release of final evaluation data decryption key. Participants start predicting the results on the final evaluation data.
5 March, 2023: End of the quantitative competition. Deadline for submitting the predictions over the final evaluation data. The organizers start the code verification by running it on the final evaluation data. Deadline for code submission.
8 March, 2023: Deadline for submitting fact sheets.
15 March, 2023: Release of the verification results to the participants for review. Participants are invited to follow the paper submission guide for submitting contest papers [Link].
29 March, 2023: Paper submission deadline for submitting their CVPRW paper
4 April, 2023: Notification of paper acceptance.
7 April, 2023: Camera-ready submission.
19 June, 2023: Workshop@CVPR 2023, challenge results, award ceremony.
Keynote Speakers:
Ajay Kumar (IEEE Fellow) is currently a Professor in the Department of Computing at the Hong Kong Polytechnic University, and Chair of the Departmental Learning and Teaching Committee (2019-2021). He received B.Eng. degree in 1990, M.Eng. in 1992, and a Ph.D. degree from The University of Hong Kong, Hong Kong, in 2001. He has earlier been working as an Assistant Professor, in Department of Electrical Engineering, Indian Institute of Technology Delhi, India from 2005-2007.
His current research interests include biometrics with an emphasis on contactless hand biometrics, vascular biometrics, iris recognition, and multimodal biometrics. He holds seven U.S. patents and has authored a book on Contactless 3D Fingerprint Identification. He has served on the IEEE Biometrics Council as the Vice President for publications from 2011 to 2015. He was on the Editorial Board of the IEEE Transactions on Information Forensics and Security (2010-2013), IEEE Transactions on Biometrics, Behavior and Identity Sciences (2018-2020). He has served on the program committees and organizing committee of several international conferences in the field of his research interest and recently as an area chair for CVPR 2019, CVPR 2020. Prof. Kumar was also the Program Chair for CVPR 2013-2020 Biometrics Workshops, ICEB 2010 (Hong Kong) and Program Co-Chair for IJCB 2011 (Washington DC), ICB 2013 (Madrid). He has also served as the General Chair of WIFS 2018 (Hong Kong) and as the General Co-Chair of IJCB 2014 (Tampa) and ISBA 2015 (Hong Kong).
Prof. Kumar is a Fellow of IAPR (since 2016), Fellow of IEEE (since 2018), recipient of ‘Faculty Award in 2018 for Outstanding Achievement in Research and Scholarly Activities’ and President’s Award in 2012 for ‘Excellent Performance in Research and Scholarly Activities (Team) in PolyU. He is currently on the Editorial Board of the IEEE Transactions on Pattern Analysis and Machine Intelligence (2019 onwards). He was elected as the President of IEEE Biometrics Council in 2019 and currently serving as its President (2021-2022).
Alex Kot (IEEE Fellow) has been with the Nanyang Technological University (NTU), Singapore since 1991. He headed the Division of Information Engineering at the School of Electrical and Electronic Engineering (EEE) for eight years. He was the Vice Dean Research and Associate Chair (Research) for the School of EEE for three years, overseeing the research activities for the School with over 200 faculty members. He was the Associate Dean (Graduate Studies) for the College of Engineering (COE) for eight years. He is currently the Director of ROSE Lab [Rapid(Rich) Object SEearch Lab) and the Director of NTU-PKU Joint Research Institue . He has published extensively with over 300 technical papers in the areas of signal processing for communication, biometrics recognition, authentication, image forensics, machine learning and AI. He has two USA and one Singapore patents granted.
Dr. Kot served as Associate Editor for a number of IEEE transactions, including IEEE TSP, IMM, TCSVT, TCAS-I, TCAS-II, TIP, SPM, SPL, JSTSP, JASP, TIFS, etc. He was a TC member for several IEEE Technical Committee in SPS and CASS. He has served the IEEE in various capacities such as the General Co-Chair for the 2004 IEEE International Conference on Image Processing (ICIP) and area/track chairs for several IEEE flagship conferences. He also served as the IEEE Signal Processing Society Distinguished Lecturer Program Coordinator and the Chapters Chair for IEEE Signal Processing Chapters worldwide. He received the Best Teacher of The Year Award at NTU, the Microsoft MSRA Award and as a co-author for several award papers. He was elected as the IEEE CAS Distinguished Lecturer in 2005. He was a Vice President in the Signal Processing Society and IEEE Signal Processing Society Distinguished Lecturer. He is now a Fellow of the Academy of Engineering, Singapore, a Fellow of IEEE and a Fellow of IES.
Shiguang Shan (IEEE Fellow) received M.S. degree in computer science from the Harbin Institute of Technology, Harbin, China, in 1999, and Ph.D. degree in computer science from the Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS), Beijing, China, in 2004. After graduate, he joined ICT, CAS in 2002 and became a full Professor in 2010. He is now the deputy director of the Key Lab of Intelligent Information Processing of CAS.
His research interests cover computer vision, pattern recognition, and machine learning (deep learning). He especially focuses on face recognition and vision-based mind-reading researches, and machine learning with little data or weakly-supervised data. He has published more than 200 papers in refereed journals and proceedings in the areas of computer vision and pattern recognition. He has served as Area Chair for many international conferences including ICCV11, CVPR19/20, FG13/18/20, ACCV12/16/18, ICPR12/14/20, ICASSP14, and BTAS18. He is(/was) Associate Editors of several international journals including IEEE Trans. on Image Processing, Computer Vision and Image Understanding, Neurocomputing, and Pattern Recognition Letters. He is a recipient of the China State Natural Science Award in 2015, and the China State S&T Progress Award in 2005 for his research work.
He is also personally interested in brain science, cognitive neuroscience, as well as their interdisciplinary researche topics with AI.
Organizers:
Jun Wan (万军 Primary Contact) , Institute of Automation, Chinese Academy of Sciences (CASIA), China, jun.wan@ia.ac.cn
Ajian Liu, Institute of Automation, Chinese Academy of Sciences (CASIA), China, ajian.liu@ia.ac.cn
Jiankang Deng, Insightface, jiankangdeng@gmail.com (Chair of Track 2)
Sergio Escalera, Computer Vision Center (UAB) and University of Barcelona, Spain, sergio@maia.ub.es
Hugo Jair Escalante, INAOE, ChaLearn, Mexico, hugojair@inaoep.mx
Isabelle Guyon, Université Paris-Saclay, France and ChaLearn, Berkeley, California, USA, guyon@chalearn.org
Zhen Lei, NLPR, Institute of Automation, Chinese Academy of Sciences (CASIA), China, zlei@nlpr.ia.ac.cn
Chenxu Zhao，Co-Founder, SailYond Technology Co., Ltd. zhaochenxu@sailyond.com
Shaopeng Tang, Beijing Surfing Technology Ltd, shaopeng@surfingtech.cn
Dong Wang, MoreDian Technology Co., Ltd. wangdong@moredian.com
Jia Guo, Insightface, guojia@gmail.com
Organizers Institutions:
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