[visionlist] CVPR 2019 Face Spoofing Attrack Workshop and Challenge
sergio.escalera.guerrero at gmail.com
Mon Jan 7 04:33:18 -05 2019
*Call for participation & papers*
*Chalearn Looking at People series*
*Face Spoofing Attack Workshop and Challenge *
*CVPR Workshop 2019 *
Face anti-spoofing detection is an crucial procedure in biometric face
recognition systems. Previous competitions (i.e. ICB 2013 facial spoofing
attacks, IJCB 2011 facial spoofing attacks, IJCB 2017 competition ) focused
on 2D face spoofing attacks, and most published works focus on one single
modality, such as rgb or depth face spoofing detection. However, one single
modality may not capture rich enough face and environment information.
Fortunately, according to the new development of camera sensors, face image
with multi modalities are captured conveniently in a low cost. Therefore,
We are organizing an academic competition and workshop focus on multi-modal
(RGB+depth+IR) face anti-spoofing detection in videos. A new large-scale
multimodal face spoofing attack datasets is released and used in the
competition containing more than 2000 recorded subjects with multiple
We propose a challenge that aims at compiling the latest efforts and
research advances from the computational intelligence community in creating
fast and accurate face spoofing detection algorithms. The methods will be
evaluated on a large, newly collected and annotated dataset.
The *challenges *is running in the CodaLab platform
<https://competitions.codalab.org/competitions/20853>*), and results will
be presented at the *CVPR 2019 ChaLearn LAP associated workshop*.
Participants obtaining the best results will be invited to submit a paper
to associated workshop and extended versions to a dedicated Special Issue
in a top tier journal (TBA). There will be prizes and travel grants from
BAIDU. We will provide cash, travel grants for top 3 winners (1st:
1000$+500$, 2nd:600$+500$, 3rd: 300$+500$). And the best workshop paper
will be also rewarded in cash (500$+500$).
We also solicit submissions in all aspects of facial biometric systems and
attacks. Most notably, the following are the main topics of interest:
- Novel methodologies on anti-spoofing detection in visual information
- Studies on novel attacks to biometric systems, and solutions
- Deep learning methods for biometric authentication systems using
- Novel datasets and evaluation protocols on spoofing prevention on
visual and multimodal biometric systems
- Methods for deception detection from visual and multimodal information
- Face antispoof attacks dataset (3D face Mask, multimodal).
- Deep analysis reviews on face antispoofing attacks.
- Generative models (e.g. GAN) for spoofing attacks.
We are accepting submissions for revision up to 8 pages (same formatting
instructions as CVPR). CMT submissions will be reviewed by 3 members of PC
Important dates (tentative)
Important dates competition:
- 20th November, 2018: Beginning of the quantitative competition,
release of development and validation data.
- 10th March, 2019: Release of encrypted final evaluation data.
Participants can start training their methods with the whole data set.
- 15th March, 2019: Deadline for code submission.
- 16th March, 2019: Release of final evaluation data decryption key.
Participants start predicting the results on the final evaluation data.
- 20th March, 2019: 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.
- 22nd March, 2019: Deadline for submitting the fact sheets.
- 25th March, 2019: Release of the verification results to the
participants for review. Participants are invited to follow the paper
submission guide for submitting contest papers.
- 30th March, 2017: Paper submission deadline for submitting their CVPRW
paper (following workshop dates).
Important dates workshop:
- 30th March, 2019: Paper submission deadline
- 5th April, 2019: Paper notification
- 9th April, 2019: Camera ready
Jun Wan, National Laboratory of Pattern Recognition, Institute of
Automation, Chinese Academy of Sciences
Sergio Escalera, Computer Vision Center (UAB) and University of Barcelona
Hugo Jair Escalante, INAOE, ChaLearn, Mexico
Isabelle Guyon, Université Paris-Saclay, France, ChaLearn, Berkeley,
Guodong Guo, IDL, Baidu Research
Hailin Shi, JD AI Research
Meysam Madadi, Universitat Autonoma de Barcelona & Compter Vision Center
Shaopeng Tang, Beijing SurfingTech Co., Ltd,
*Dr. Sergio Escalera Guerrero*Head of Human Pose Recovery and Behavior
Analysis group / Project Manager at the Computer Vision Center
Vice-president of ChaLearn Challenges in Machine Learning, Berkeley
Associate professor at Universitat de Barcelona / Universitat Oberta de
Catalunya / Aalborg University /
Email: sergio.escalera.guerrero at gmail.com / Webpage:
http://www.sergioescalera.com/ <http://www.maia.ub.es/~sergio/> / Phone:+34
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