Call for papers ChaLearn LaP Face Spoofing Attack Workshop and Challenge @ CVPR2019

[Hugo Jair]

Call  for papers

ChaLearn  Looking at People series

Face  Spoofing Attack Workshop and Challenge  @ CVPR2019

 

Face  spoofing 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 CVPR2019.

Topics 

 

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 workshop:

• Novel methodologies on anti-spoofing detection in visual information systems.
• Studies on novel attacks to biometric systems, and solutions to such attacks
• Deep learning methods for biometric authentication systems using visual and multimodal information
• Generative adversarial models  for dealing with spoofing attacks.
• Novel datasets and evaluation protocols on spoofing prevention on visual and multimodal biometric systems
• Methods for deception detection from visual and multimodal information
• Face anti spoofing attack datasets, methodologies  (3D face Mask, multimodal)
• Survey, review and analysis papers on facial antispoofing attacks.

 

Papers on these and related topics will be considered for review. 

 

Submission

 

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

 

Important dates:

 

• March 30th: Paper submission deadline
• April 5th:      Author notification 
• April 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.

 

Associated competition 

The workshop is associated to a challenge on facial anti spoofing attack detection: 

 

https://competitions.codalab.org/competitions/20853. 

 

Top ranked participants of this competition are encouraged to submit a paper to the workshop/

 

Organizing team

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, California, USA 

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,