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ECCVW - ChaLearnLAP FairFaceRec 2020 : ECCV 2020 ChaLearn Looking at People Fair Face Recognition and Analysis Workshop

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Link: http://chalearnlap.cvc.uab.es/workshop/37/description/
 
When Aug 28, 2020 - Aug 28, 2020
Where Online
Submission Deadline Jul 20, 2020
Notification Due Aug 14, 2020
Final Version Due Sep 4, 2020
Categories    fairness machine learning   ECCV2020   ECCVW
 

Call For Papers

We cordially invite you to submit your paper to our (100% online event)

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ECCV 2020 ChaLearn Looking at People Fair Face Recognition and Analysis Workshop
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http://chalearnlap.cvc.uab.es/workshop/37/description/

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 (http://chalearnlap.cvc.uab.es/challenge/38/description/). Paper submission (via CMT https://cmt3.research.microsoft.com/FairFace2020) is independent to challenge participation.

The main topics of interest related to fair face recognition and analysis are (but not limited to):

- Dealing with unbalanced and/or noisy datasets.
- Novel methodologies, metrics and algorithms for bias mitigation.
- Explainable/interpretable strategies for understanding/dealing with bias.
- Generative models applications.

# Paper submission: July 7th, 2020
# Notification to authors: August 14th, 2020
# Camera-ready: September 4th, 2020

# Workshop day: Friday, August 28th, 2020 (Afternoon - Half Day)

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
Sankha Subhra Mukherjee, 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

INVITED SPEAKERS
Rama Chellappa, University of Maryland
Kate Saenko, Boston University
Matthew Turk, University of California
Walter J. Scheirer, University of Notre Dame
Alice O’Toole, University of Texas at Dallas
Dimitris Metaxas, Rutgers University
Olga Russakovsky, Princeton University
Judy Hoffman, Georgia Tech

This event is sponsored by:
ChaLearn - http://chalearnlap.cvc.uab.es/
Anyvision - https://www.anyvision.co/

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