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Subject:
From:
Julio Cezar Silveira Jacques Junior <[log in to unmask]>
Reply To:
Julio Cezar Silveira Jacques Junior <[log in to unmask]>
Date:
Sun, 5 Apr 2020 19:02:36 +0200
Content-Type:
text/plain
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We cordially invite you to participate to our ECCV 2020 ChaLearn
Looking at People Fair Face Recognition Workshop and Challenge

For additional details and important dates, please check the following
channels of communication:

Workshop: http://chalearnlap.cvc.uab.es/workshop/37/description/
Challenge: http://chalearnlap.cvc.uab.es/challenge/38/description/

Workshop: The workshop will focus on bias analysis and mitigation
methodologies, which will result in more fair face recognition and
analysis systems. These advances will have a direct impact within
society's equality of opportunity. In this proposal we plan to provide
a comprehensive up to date review on fair face recognition and
analysis research. We find of crucial interest to centralize ideas,
discuss them and push the field to advance towards more fair systems
for the good of society. Complementary to that, we will also
contribute pushing research in the field by releasing a large
annotated dataset for fair face verification and running an associated
challenge.

Challenge: We present a new collected dataset with 15k images from 3k
new subjects along with a reannotated version of IJB-C database (140k
images from 3.5k subjects), totalling 155k facial images from 6.5k
unique identities. Both databases have been accurately annotated for
gender and skin colour (protected attributes) as well as for age
group, eyeglasses, head pose, image source and face size. We will
evaluate submitted models for bias in terms of total causal effect of
the protected attributes (including their combination) to the
verification accuracy while adjusting for the other attributes. The
final ranking of each model will depend both on its bias and accuracy
with the emphasis on bias.

Preliminary (tentative) Schedule:

Workshop:

- Paper submission: July 7th, 2020
- Notification to authors: July 28th, 2020
- Camera-ready: September 4th, 2020

Challenge
- Start of the challenge (development phase): April 7th, 2020
- Start of test phase: June 22th, 2020
- End of the challenge: July 1st, 2020
- Fact sheets and code submission: July 4th, 2020
- Release of final results: July 12th, 2020



ORGANIZATION & SPONSORS

Sergio Escalera, Computer Vision Center (UAB) and University of Barcelona, Spain

Rama Chellappa, University of Maryland, United States of America

Eduard Vazquez, Anyvision, Belfast, Northern Ireland

Neil Robertson, Queen’s University Belfast / Anyvision, Belfast,
Northern Ireland

Pau Buch-Cardona, Computer Vision Center (UAB) and University of
Barcelona, Spain

Tomas Sixta, Belfast, Northern Ireland

Julio C. S. Jacques Junior, Universitat Oberta de Catalunya (UOC) and
Computer Vision Center (CVC/UAB), Spain


This event is sponsored by ChaLearn and Anyvision.



-- 

Julio C. S. Jacques Junior
Estudis d'Informàtica, Multimèdia i Telecomunicació
Postdoctoral Researcher

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UNIVERSITAT OBERTA DE 
CATALUNYA (UOC) DATA PROTECTION INFORMATION
Your personal data and the data 
contained in your email messages and attached files may be stored in our 
databases for the purpose of maintaining relations and communications 
linked to the UOC, and the data may be stored for as long as these 
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exercise your rights to access, rectification and erasure of your data, and 
any other legally held rights, by writing to the sender’s email address or 
to [log in to unmask] <[log in to unmask]" target="_blank">http:[log in to unmask]>.
This message and, where 
applicable, any attachments are confidential and addressed solely to the 
individual or organization they were sent to.
The UOC has a data protection 
officer who not only supervises the data processing carried out at the 
University, but who will also respond to any questions you may have about 
this data processing. You can contact our data protection officer by 
writing to [log in to unmask] <[log in to unmask]" target="_blank">http:[log in to unmask]>.

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