Call for papers
ChaLearn Looking at People
Face Spoofing Attack Workshop
and Challenge @ CVPR2019
attack detection is an crucial procedure in biometric face recognition systems.
Whereas most research has focused on 2D face spoofing attacks, research on 3D
and multimodal spoofing detection has been increasingly attracting attention
from the computer vision community. We are organizing a workshop and
an associated competition on face spoofing attack detection collocated with
For the workshop we
will consider paper submissions in all aspects of facial biometric systems and
attacks. The following are the main topics of interest of the
methodologies on anti-spoofing detection in visual information systems.
on novel attacks to biometric systems, and solutions to such attacks
learning methods for biometric authentication systems using visual and
adversarial models for dealing with spoofing attacks.
datasets and evaluation protocols on spoofing prevention on visual and
multimodal biometric systems
for deception detection from visual and multimodal information
anti spoofing attack datasets, methodologies (3D face Mask,
review and analysis papers on facial antispoofing attacks.
Papers on these and related topics will be
considered for review.
We are receiving submissions of papers of
up to 8 pages (same formatting instructions as CVPR) for review.
Submissions will be reviewed by 3 members of the program
committee. Submit your paper in the following link: https://cmt3.research.microsoft.com/CFS2019/Submission/Index
30th: Paper submission deadline
5th: Author notification
8th: Camera ready submission
Best paper award
Baidu research, the
main sponsor of the challenge, will be granting a best paper award + travel
grant to the best contribution submitted to the workshop.
The workshop is associated to a challenge
on facial anti spoofing attack detection:
Top ranked participants of this
competition are encouraged to submit a paper to the workshop/
Jun Wan, National
Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of
Sergio Escalera, Computer Vision Center (UAB)
and University of Barcelona
Hugo Jair Escalante, INAOE, ChaLearn,
Université Paris-Saclay, France, ChaLearn, Berkeley, California, USA
Guodong Guo, IDL,
Hailin Shi, JD AI
Meysam Madadi, Universitat Autonoma de
Barcelona & Compter Vision Center
Beijing SurfingTech Co., Ltd,