publications

2025

1. C

   InDistill: Information flow-preserving knowledge distillation for model compression

   Ioannis Sarridis, Christos Koutlis, Giorgos Kordopatis-Zilos, Ioannis Kompatsiaris, and Symeon Papadopoulos

   Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops, 2025

2024

1. J

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

   Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos, and Christos Diou

   IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024

   DOI Bib

   @article{Sarridis2024TPAMI,
     author = {Sarridis, Ioannis and Koutlis, Christos and Papadopoulos, Symeon and Diou, Christos},
     journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
     title = {{FLAC}: Fairness-Aware Representation Learning by Suppressing Attribute-Class Associations},
     year = {2024},
     volume = {},
     number = {},
     pages = {1-13},
     keywords = {Prevention and mitigation;Artificial intelligence;Training;Data models;Mutual information;Accuracy;Visualization;Representation learning;Predictive models;Minimization;Bias mitigation;fairness;mutual information},
     doi = {10.1109/TPAMI.2024.3487254},
   }

2. J

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

   Pietro Melzi, Ruben Tolosana, Ruben Vera-Rodriguez, Minchul Kim, Christian Rathgeb, and 42 more authors

   Information Fusion, 2024

   DOI Bib

   @article{MelziIF2024,
     title = {FRCSyn-onGoing: Benchmarking and comprehensive evaluation of real and synthetic data to improve face recognition systems},
     journal = {Information Fusion},
     volume = {107},
     pages = {102322},
     year = {2024},
     issn = {1566-2535},
     doi = {https://doi.org/10.1016/j.inffus.2024.102322},
     url = {https://www.sciencedirect.com/science/article/pii/S1566253524001003},
     author = {Melzi, Pietro and Tolosana, Ruben and Vera-Rodriguez, Ruben and Kim, Minchul and Rathgeb, Christian and Liu, Xiaoming and DeAndres-Tame, Ivan and Morales, Aythami and Fierrez, Julian and Ortega-Garcia, Javier and Zhao, Weisong and Zhu, Xiangyu and Yan, Zheyu and Zhang, Xiao-Yu and Wu, Jinlin and Lei, Zhen and Tripathi, Suvidha and Kothari, Mahak and Zama, Md Haider and Deb, Debayan and Biesseck, Bernardo and Vidal, Pedro and Granada, Roger and Fickel, Guilherme and Führ, Gustavo and Menotti, David and Unnervik, Alexander and George, Anjith and Ecabert, Christophe and Shahreza, Hatef Otroshi and Rahimi, Parsa and Marcel, Sébastien and Sarridis, Ioannis and Koutlis, Christos and Baltsou, Georgia and Papadopoulos, Symeon and Diou, Christos and Domenico, Nicolò Di and Borghi, Guido and Pellegrini, Lorenzo and Mas-Candela, Enrique and Sánchez-Pérez, Ángela and Atzori, Andrea and Boutros, Fadi and Damer, Naser and Fenu, Gianni and Marras, Mirko},
   }

3. C

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

   Pietro Melzi, Ruben Tolosana, Ruben Vera-Rodriguez, Minchul Kim, Christian Rathgeb, and 42 more authors

   In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops, Jan 2024
4. C

   FaceX: Understanding Face Attribute Classifiers through Summary Model Explanations

   Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos, and Christos Diou

   In Proceedings of the 2024 International Conference on Multimedia Retrieval, Jan 2024
5. J

   Mitigating Viewer Impact From Disturbing Imagery Using AI Filters: A User-Study

   Ioannis Sarridis, Jochen Spangenberg, Olga Papadopoulou, and Symeon Papadopoulos

   International Journal of Human–Computer Interaction, Jan 2024

   DOI

2023

1. C

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

   Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos, and Christos Diou

   In ECML-PKDD 2023 Workshop on Bias and Fairness in AI (BIAS 2023), Jan 2023

2022

1. J

   An autoregressive graph convolutional long short-term memory hybrid neural network for accurate prediction of COVID-19 cases

   Myrsini Ntemi, Ioannis Sarridis, and Constantine Kotropoulos

   IEEE Transactions on Computational Social Systems, Jan 2022
2. C

   Leveraging large-scale multimedia datasets to refine content moderation models

   Ioannis Sarridis, Christos Koutlis, Olga Papadopoulou, and Symeon Papadopoulos

   In 2022 IEEE Eighth International Conference on Multimedia Big Data (BigMM), Jan 2022

2021

1. C

   Neural factorization applied to interaction matrix for recommendation

   Ioannis Sarridis, and Constantine Kotropoulos

   In 2021 29th European Signal Processing Conference (EUSIPCO), Jan 2021
2. J

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

   Georgios Karantaidis, Ioannis Sarridis, and Constantine Kotropoulos

   Signal Processing: Image Communication, Jan 2021

2019

1. C

   Block Randomized Optimization for Adaptive Hypergraph Learning

   George Karantaidis, Ioannis Sarridis, and Constantine Kotropoulos

   In 2019 IEEE International Conference on Image Processing (ICIP), Jan 2019