Ioannis Sarridis

According to our database, Ioannis Sarridis authored at least 16 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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

Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos, Christos Diou

IEEE Trans. Pattern Anal. Mach. Intell., February, 2025

2024

FRCSyn-onGoing: Benchmarking and comprehensive evaluation of real and synthetic data to improve face recognition systems.

Pietro Melzi, Ruben Tolosana, Rubén Vera-Rodríguez, Minchul Kim, Christian Rathgeb, Xiaoming Liu, Ivan DeAndres-Tame, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia, Weisong Zhao, Xiangyu Zhu, Zheyu Yan, Xiaoyu Zhang, Jinlin Wu, Zhen Lei, Suvidha Tripathi, Mahak Kothari, Md Haider Zama, Debayan Deb, Bernardo Biesseck, Pedro Vidal, Roger Granada, Guilherme P. 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

Inf. Fusion, 2024

MAVias: Mitigate any Visual Bias.

Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos, Christos Diou

CoRR, 2024

BAdd: Bias Mitigation through Bias Addition.

Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos, Christos Diou

CoRR, 2024

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

Pietro Melzi, Ruben Tolosana, Rubén Vera-Rodríguez, Minchul Kim, Christian Rathgeb, Xiaoming Liu, Ivan DeAndres-Tame, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia, Weisong Zhao, Xiangyu Zhu, Zheyu Yan, Xiaoyu Zhang, Jinlin Wu, Zhen Lei, Suvidha Tripathi, Mahak Kothari, Md Haider Zama, Debayan Deb, Bernardo Biesseck, Pedro Vidal, Roger Granada, Guilherme P. 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, Gianni Fenu, Fadi Boutros, Mirko Marras, Naser Damer

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024

FaceX: Understanding Face Attribute Classifiers through Summary Model Explanations.

Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos, Christos Diou

Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

SDFD: Building a Versatile Synthetic Face Image Dataset with Diverse Attributes.

Georgia Baltsou, Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos

Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024

2023

An Autoregressive Graph Convolutional Long Short-Term Memory Hybrid Neural Network for Accurate Prediction of COVID-19 Cases.

Myrsini Ntemi, Ioannis Sarridis, Constantine Kotropoulos

IEEE Trans. Comput. Soc. Syst., April, 2023

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

Ioannis Sarridis, Jochen Spangenberg, Olga Papadopoulou, Symeon Papadopoulos

CoRR, 2023

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

Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos, Christos Diou

CoRR, 2023

2022

InDistill: Transferring Knowledge From Pruned Intermediate Layers.

Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos, Ioannis Kompatsiaris

CoRR, 2022

Image Driven Optimal Personalized Route Recommendation.

Ioannis Sarridis, Georgios Karantaidis, Constantine Kotropoulos

Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022

Leveraging Large-scale Multimedia Datasets to Refine Content Moderation Models.

Ioannis Sarridis, Christos Koutlis, Olga Papadopoulou, Symeon Papadopoulos

Proceedings of the Eighth IEEE International Conference on Multimedia Big Data, 2022

2021

Adaptive hypergraph learning with multi-stage optimizations for image and tag recommendation.

Georgios Karantaidis, Ioannis Sarridis, Constantine Kotropoulos

Signal Process. Image Commun., 2021

Neural Factorization Applied to Interaction Matrix for Recommendation.

Ioannis Sarridis, Constantine Kotropoulos

Proceedings of the 29th European Signal Processing Conference, 2021

2019

Block Randomized Optimization for Adaptive Hypergraph Learning.

George Karantaidis, Ioannis Sarridis, Constantine Kotropoulos

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019