FRCSyn Challenge at WACV 2024:Face Recognition Challenge in the Era of Synthetic Data

1 code implementation • 17 Nov 2023 • Pietro Melzi, Ruben Tolosana, Ruben Vera-Rodriguez, Minchul Kim, Christian Rathgeb, Xiaoming Liu, Ivan DeAndres-Tame, Aythami Morales, Julian Fierrez, Javier Ortega-Garcia, Weisong Zhao, Xiangyu Zhu, Zheyu Yan, Xiao-Yu Zhang, Jinlin Wu, Zhen Lei, Suvidha Tripathi, Mahak Kothari, Md Haider Zama, Debayan Deb, Bernardo Biesseck, Pedro Vidal, Roger Granada, Guilherme Fickel, Gustavo Führ, David Menotti, Alexander Unnervik, Anjith George, Christophe Ecabert, Hatef Otroshi Shahreza, Parsa Rahimi, Sébastien Marcel, Ioannis Sarridis, Christos Koutlis, Georgia Baltsou, Symeon Papadopoulos, Christos Diou, Nicolò Di Domenico, Guido Borghi, Lorenzo Pellegrini, Enrique Mas-Candela, Ángela Sánchez-Pérez, Andrea Atzori, Fadi Boutros, Naser Damer, Gianni Fenu, Mirko Marras

Despite the widespread adoption of face recognition technology around the world, and its remarkable performance on current benchmarks, there are still several challenges that must be covered in more detail.

Face Recognition

Mitigating Viewer Impact from Disturbing Imagery using AI Filters: A User-Study

no code implementations • 19 Jul 2023 • Ioannis Sarridis, Jochen Spangenberg, Olga Papadopoulou, Symeon Papadopoulos

This paper presents a user study, involving 107 participants, predominantly journalists and human rights investigators, that explores the capability of Artificial Intelligence (AI)-based image filters to potentially mitigate the emotional impact of viewing such disturbing content.

Towards Fair Face Verification: An In-depth Analysis of Demographic Biases

no code implementations • 19 Jul 2023 • Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos, Christos Diou

This paper presents an in-depth analysis, with a particular emphasis on the intersectionality of these demographic factors.

Face Recognition Face Verification +2

FLAC: Fairness-Aware Representation Learning by Suppressing Attribute-Class Associations

1 code implementation • 27 Apr 2023 • Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos, Christos Diou

To overcome these limitations, this work introduces FLAC, a methodology that minimizes mutual information between the features extracted by the model and a protected attribute, without the use of attribute labels.

Age/Bias-conflicting Age/Unbiased +13

Leveraging Large-scale Multimedia Datasets to Refine Content Moderation Models

no code implementations • 1 Dec 2022 • Ioannis Sarridis, Christos Koutlis, Olga Papadopoulou, Symeon Papadopoulos

The sheer volume of online user-generated content has rendered content moderation technologies essential in order to protect digital platform audiences from content that may cause anxiety, worry, or concern.

InDistill: Information flow-preserving knowledge distillation for model compression

1 code implementation • 20 May 2022 • Ioannis Sarridis, Christos Koutlis, Giorgos Kordopatis-Zilos, Ioannis Kompatsiaris, Symeon Papadopoulos

In this paper we introduce InDistill, a model compression approach that combines knowledge distillation and channel pruning in a unified framework for the transfer of the critical information flow paths from a heavyweight teacher to a lightweight student.

Knowledge Distillation Model Compression

Block Randomized Optimization for Adaptive Hypergraph Learning

no code implementations • 22 Aug 2019 • Georgios Karantaidis, Ioannis Sarridis, Constantine Kotropoulos

The high-order relations between the content in social media sharing platforms are frequently modeled by a hypergraph.