ACM SIGCHI General Interest Announcements (Mailing List)


Options: Use Forum View

Use Monospaced Font
Show Text Part by Default
Show All Mail Headers

Message: [<< First] [< Prev] [Next >] [Last >>]
Topic: [<< First] [< Prev] [Next >] [Last >>]
Author: [<< First] [< Prev] [Next >] [Last >>]

Print Reply
Vitomir Struc <[log in to unmask]>
Reply To:
Vitomir Struc <[log in to unmask]>
Tue, 3 Aug 2021 14:22:46 +0200
text/plain (100 lines)

International Workshop on Face and Gesture Analysis for COVID-19

Held in conjunction with FG 2021 (

Paper submission deadline: September 28th, 2021

Hazım Kemal Ekenel, Istanbul Technical University, Turkey
Fevziye Irem Eyiokur, Karlsruhe Institute of Technology, Germany
Muhammad Imran, Qatar Computing Research Institute, Qatar
Alperen Kantarcı, Istanbul Technical University, Turkey
Ferda Ofli, Qatar Computing Research Institute, Qatar
Vitomir Štruc, University of Ljubljana, Slovenia
Alexander Waibel, Karlsruhe Institute of Technology, Germany and 
Carnegie Mellon University, Pittsburgh

European Association for Biometrics (EAB)

Since the end of 2019, the whole world has been living with the effects 
of the COVID-19 disease. Due to the airborne nature of the novel 
coronavirus, the COVID-19 disease has spread rapidly in many countries 
in a short time and has also been declared a global pandemic. Several 
preventive measures were implemented to reduce the spread of this 
disease, including social distancing, wearing face masks, avoiding large 
crowds, and others.

To help monitor public behavior and compliance with the implemented 
prevention measures, to gather reliable data for epidemiological models, 
facilitate authorized access and authentication, ensure safety and 
security despite the COVID-19 pandemic, it is critical to develop 
automated machine learning and computer vision based techniques that can 
help with these tasks. The COVID-19 pandemic has initiated research and 
development of computer-aided systems that can be used to prevent and 
monitor not only COVID-19 but also similar diseases that may appear in 
the future.

The goal of this workshop is to present the most recent and advanced 
work related to face and gesture analysis in the scope of COVID-19. We 
are interested in all COVID-19 related studies that focus on the 
detection of face mask, subjects' behaviors in public areas, analysis of 
pandemic and preventions-related real-world face and gesture data, 
prevention control and monitoring systems for unconstrained real-world 
conditions and related problems.

Topics of interest include, but are not limited to:

  + Face mask detection,
  + Masked face detection and recognition,
  + Face-hand interaction detection,
  + COVID-19 monitoring and control systems related to face and gesture 
  + Social distance tracking and control systems,
  + Dataset bias analysis on COVID-19 datasets (face mask, face-hand, 
social distance,...),
  + Face, gesture and body analysis for monitoring intervention-measure 
  + Behavior understanding relevant for COVID-19,
  + Analysis of social interactions relevant to COVID-19,
  + Soft-biometric analysis on masked faces (age, gender, ...),
  + Generative models relevant in the scope of COVID-19,
  + Novel datasets and performance benchmarks,
  + Related applications.

For submission instructions visit:

Accepted papers will be published in the "Proceedings of FG 2021" and 
included in IEEE Xplore.

Selected papers from the first submission round will be invited to 
submit extended versions of their work to a special issue organized in 
the Image and Vision Computing journal.

Naser Damer, Fraunhofer IGD, Germany
Albert Ali Salah, Utrecht University, The Netherlands

Please feel free to reach out for further details.

Hazım Kemal Ekenel, Fevziye Irem Eyiokur, Muhammad Imran, Alperen 
Kantarcı, Ferda Ofli, Vitomir Štruc, Alexander Waibel
FG4COVID19 2021 Organizers

    To unsubscribe from CHI-ANNOUNCEMENTS send an email to:
     mailto:[log in to unmask]

    To manage your SIGCHI Mailing lists or read our polices see: