WORKSHOP LOCATION
Hyatt Seaview B
WORKSHOP PROGRAM
8.30 am : Workshop starts
8.30 am – 8:40 am : Welcome
8:40 am – 9:10 am : Invited talk - Alice O’toole, UTD, Other-race effects for face recognition algorithms: Strategies for measuring and minimizing bias
9:10 am – 9:40 am : Oral Session 1
What FMR / FNMR, New Matchers and Image Quality Say About “Bias” In Face Recognition Technology. Krishnapriya K S, Kushal Vangara, Michael King, Vítor Albiero, Kevin Bowyer
Face Attribute Dataset for Balanced Races. Nan Xi, Jungseock Joo
Color-Theoretic Experiments to Understand Unequal Gender Classification Accuracy from Face Images. Vidya Muthukumar
9:40 am – 10:10 am: Invited talk - Patrick J. Grother, NIST, Demographics effects in leading commercial face recognition algorithms
10:10 am – 10:40 am: Coffee Break and Poster Session
10:40 am – 11:10 am: Oral Session 2
Face Recognition Bias: Performance Differences on Images of Children and Adults. Nisha Srinivas, Karl Ricanek, David Bolme, Michael King, Dana Michalski
FaceGenderID: Exploiting Gender Information in DCNNs Face Recognition Systems. Ruben Vera-Rodriguez, Marta Blazquez, Aythami Morales, Ester Gonzalez-Sosa, João Neves, Hugo Proenca
Analyzing and Reducing the Damage of Dataset Bias to Face Recognition with Synthetic Data. Adam Kortylewski, Bernhard Egger, Andreas M Schneider, Thomas Gerig, Andreas Morel-Forster, Thomas Vetter
11:10 am – 11:40 am: Invited talk - Olga Russakovsky, Princeton, Strategies for mitigating social bias in visual recognition
11:-40 am – 12:30 am: Panel Discussion - Fairness in Face Recognition: Analysis and Mitigation (Panel Moderator: Rama Chellappa)