Ioannis Sarridis

Orcid: 0000-0002-0064-0767

According to our database1, Ioannis Sarridis authored at least 20 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
Designing and Generating Diverse, Equitable Face Image Datasets for Face Verification Tasks.
CoRR, November, 2025

FLAC: Fairness-Aware Representation Learning by Suppressing Attribute-Class Associations.
IEEE Trans. Pattern Anal. Mach. Intell., February, 2025

Mitigating Viewer Impact From Disturbing Imagery Using AI Filters: A User-Study.
Int. J. Hum. Comput. Interact., January, 2025

InDistill: Information flow-preserving knowledge distillation for model compression.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Face-swapping Based Data Augmentation for ID Document and Selfie Face Verification.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

MAVias: Mitigate any Visual Bias.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

BAdd: Bias Mitigation Through Bias Addition.
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

VB-Mitigator: An Open-source Framework for Evaluating and Advancing Visual Bias Mitigation.
Proceedings of the 3rd Workshop on Fairness and Bias in AI co-located with 28th European Conference on Artificial Intelligence (ECAI 2025), 2025

2024
FRCSyn-onGoing: Benchmarking and comprehensive evaluation of real and synthetic data to improve face recognition systems.
Inf. Fusion, 2024


FaceX: Understanding Face Attribute Classifiers through Summary Model Explanations.
Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

SDFD: Building a Versatile Synthetic Face Image Dataset with Diverse Attributes.
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.
IEEE Trans. Comput. Soc. Syst., April, 2023

Towards Fair Face Verification: An In-depth Analysis of Demographic Biases.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023

2022
InDistill: Transferring Knowledge From Pruned Intermediate Layers.
CoRR, 2022

Image Driven Optimal Personalized Route Recommendation.
Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022

Leveraging Large-scale Multimedia Datasets to Refine Content Moderation Models.
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.
Signal Process. Image Commun., 2021

Neural Factorization Applied to Interaction Matrix for Recommendation.
Proceedings of the 29th European Signal Processing Conference, 2021

2019
Block Randomized Optimization for Adaptive Hypergraph Learning.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019


  Loading...