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Ioannis Sarridis
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Journal Articles
- 2024
- [j3]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:
FRCSyn-onGoing: Benchmarking and comprehensive evaluation of real and synthetic data to improve face recognition systems. Inf. Fusion 107: 102322 (2024) - 2023
- [j2]Myrsini Ntemi, Ioannis Sarridis, Constantine Kotropoulos:
An Autoregressive Graph Convolutional Long Short-Term Memory Hybrid Neural Network for Accurate Prediction of COVID-19 Cases. IEEE Trans. Comput. Soc. Syst. 10(2): 724-735 (2023) - 2021
- [j1]Georgios Karantaidis, Ioannis Sarridis, Constantine Kotropoulos:
Adaptive hypergraph learning with multi-stage optimizations for image and tag recommendation. Signal Process. Image Commun. 97: 116367 (2021)
Conference and Workshop Papers
- 2024
- [c7]Georgia Baltsou, Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos:
SDFD: Building a Versatile Synthetic Face Image Dataset with Diverse Attributes. FG 2024: 1-10 - [c6]Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos, Christos Diou:
FaceX: Understanding Face Attribute Classifiers through Summary Model Explanations. ICMR 2024: 758-766 - [c5]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:
FRCSyn Challenge at WACV 2024: Face Recognition Challenge in the Era of Synthetic Data. WACV (Workshops) 2024: 892-901 - 2022
- [c4]Ioannis Sarridis, Christos Koutlis, Olga Papadopoulou, Symeon Papadopoulos:
Leveraging Large-scale Multimedia Datasets to Refine Content Moderation Models. BigMM 2022: 125-132 - [c3]Ioannis Sarridis, Georgios Karantaidis, Constantine Kotropoulos:
Image Driven Optimal Personalized Route Recommendation. IVMSP 2022: 1-5 - 2021
- [c2]Ioannis Sarridis, Constantine Kotropoulos:
Neural Factorization Applied to Interaction Matrix for Recommendation. EUSIPCO 2021: 1336-1340 - 2019
- [c1]George Karantaidis, Ioannis Sarridis, Constantine Kotropoulos:
Block Randomized Optimization for Adaptive Hypergraph Learning. ICIP 2019: 864-868
Informal and Other Publications
- 2024
- [i9]Georgia Baltsou, Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos:
SDFD: Building a Versatile Synthetic Face Image Dataset with Diverse Attributes. CoRR abs/2404.17255 (2024) - [i8]Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos, Christos Diou:
BAdd: Bias Mitigation through Bias Addition. CoRR abs/2408.11439 (2024) - 2023
- [i7]Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos, Christos Diou:
FLAC: Fairness-Aware Representation Learning by Suppressing Attribute-Class Associations. CoRR abs/2304.14252 (2023) - [i6]Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos, Christos Diou:
Towards Fair Face Verification: An In-depth Analysis of Demographic Biases. CoRR abs/2307.10011 (2023) - [i5]Ioannis Sarridis, Jochen Spangenberg, Olga Papadopoulou, Symeon Papadopoulos:
Mitigating Viewer Impact from Disturbing Imagery using AI Filters: A User-Study. CoRR abs/2307.10334 (2023) - [i4]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:
FRCSyn Challenge at WACV 2024: Face Recognition Challenge in the Era of Synthetic Data. CoRR abs/2311.10476 (2023) - 2022
- [i3]Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos, Ioannis Kompatsiaris:
InDistill: Transferring Knowledge From Pruned Intermediate Layers. CoRR abs/2205.10003 (2022) - [i2]Ioannis Sarridis, Christos Koutlis, Olga Papadopoulou, Symeon Papadopoulos:
Leveraging Large-scale Multimedia Datasets to Refine Content Moderation Models. CoRR abs/2212.00668 (2022) - 2019
- [i1]Georgios Karantaidis, Ioannis Sarridis, Constantine Kotropoulos:
Block Randomized Optimization for Adaptive Hypergraph Learning. CoRR abs/1908.08281 (2019)
Coauthor Index
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