Vasileios Mygdalis

Francisco Javier Pérez-Grau

Antidio Viguria

Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

Proof of Quality Inference (PoQI): An AI Consensus Protocol for Decentralized DNN Inference Frameworks.

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[DOI]

Dimitrios Papaioannou

Proceedings of the IEEE Symposium on Computers and Communications, 2024

A Unified DNN-Based System for Industrial Pipeline Segmentation.

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[DOI]

Dimitrios Psarras

Christos Papaioannidis

Proceedings of the IEEE International Conference on Acoustics, 2024

Soft ROI Pooling Distillation for Detection Transformers.

[BibT_eX]

[DOI]

Marios Nikolaos Militsis

Proceedings of the IEEE International Conference on Acoustics, 2024

Implicit Train-Free Calibration for Video-Based Eye-Tracking.

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[DOI]

Nathalie Dens

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

Real-Time Object Geopositioning from Monocular Target Detection/Tracking for Aerial Cinematography.

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[DOI]

Proceedings of the 25th IEEE International Workshop on Multimedia Signal Processing, 2023

AdvRevGAN: On Reversible Universal Adversarial Attacks for Privacy Protection Applications.

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[DOI]

Stefania Altini

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Domain Adaptation in Power Line Segmentation: A New Synthetic Dataset.

[BibT_eX]

[DOI]

Georgios Kalitsios

Proceedings of the IEEE International Conference on Image Processing, 2023

Exploiting One-Class Classification Optimization Objectives for Increasing Adversarial Robustness.

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[DOI]

Matthaios Dimitrios Tzimas

Proceedings of the IEEE International Conference on Acoustics, 2023

Evaluating Deep Neural Network-based Fire Detection for Natural Disaster Management.

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[DOI]

Christos Papaioannidis

Proceedings of the IEEE/ACM 10th International Conference on Big Data Computing, 2023

2022

Hyperspherical class prototypes for adversarial robustness.

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[DOI]

Pattern Recognit., 2022

Properties of Learning Multiplicative Universal Adversarial Perturbations in Image Data.

[BibT_eX]

[DOI]

Alexandros Zamichos

Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

A UAV Object Detection Benchmark for Vision-assisted Powerline Element Inspection.

[BibT_eX]

[DOI]

Emmanouil Patsiouras

Proceedings of the 29th International Conference on Systems, Signals and Image Processing, 2022

On the Detection of Powerline Elements with Efficient Transformers.

[BibT_eX]

[DOI]

Emmanouil Patsiouras

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

Explaining and verifying the robustness of Visual Object Trackers to noise.

[BibT_eX]

[DOI]

Iason Karakostas

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

Whitening Transformation inspired Self-Attention for Powerline Element Detection.

[BibT_eX]

[DOI]

Emmanouil Patsiouras

Proceedings of the 26th International Conference on Pattern Recognition, 2022

OTE: Optimal Trustworthy EdgeAI solutions for smart cities.

[BibT_eX]

[DOI]

José Ramiro Martinez de Dios

Lorenzo Carnevale

Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

2021

Occlusion detection and drift-avoidance framework for 2D visual object tracking.

[BibT_eX]

[DOI]

Signal Process. Image Commun., 2021

Introducing K-Anonymity Principles to Adversarial Attacks for Privacy Protection in Image Classification Problems.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

Adversarial Optimization Scheme For Online Tracking Model Adaptation In Autonomous Systems.

[BibT_eX]

[DOI]

Iason Karakostas

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

Domain-Translated 3D Object Pose Estimation.

[BibT_eX]

[DOI]

Christos Papaioannidis

IEEE Trans. Image Process., 2020

K-Anonymity inspired adversarial attack and multiple one-class classification defense.

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[DOI]

Neural Networks, 2020

2019

Μέθοδοι μηχανικής μάθησης για σημασιολογική ανάλυση βίντεο

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[DOI]

PhD thesis, 2019

High-Level Multiple-UAV Cinematography Tools for Covering Outdoor Events.

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[DOI]

IEEE Trans. Broadcast., 2019

Exploiting multiplex data relationships in Support Vector Machines.

[BibT_eX]

[DOI]

Pattern Recognit., 2019

On Detecting and Handling target occlusions in Correlation-filter-based 2D tracking.

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[DOI]

Proceedings of the 27th European Signal Processing Conference, 2019

2018

Semi-supervised subclass support vector data description for image and video classification.

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[DOI]

Neurocomputing, 2018

Quality Preserving Face de-identification against Deep CNNs.

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[DOI]

Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

Challenges in Autonomous UAV Cinematography: An Overview.

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[DOI]

Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Learning Multi-Graph Regularization for SVM Classification.

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[DOI]

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017

One-Class Classification Based on Extreme Learning and Geometric Class Information.

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[DOI]

Neural Process. Lett., 2017

2D visual tracking for sports UAV cinematography applications.

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[DOI]

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Face detection hindering.

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[DOI]

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

2016

Graph Embedded One-Class Classifiers for media data classification.

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[DOI]

Pattern Recognit., 2016

Kernel subclass support vector description for face and human action recognition.

[BibT_eX]

[DOI]

Proceedings of the First International Workshop on Sensing, 2016

Laplacian one class extreme learning machines for human action recognition.

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[DOI]

Proceedings of the 18th IEEE International Workshop on Multimedia Signal Processing, 2016

Robustness in blind camera identification.

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[DOI]

Stamatis Samaras

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Exploiting local and global geometric data relationships in Support Vector Data Description.

[BibT_eX]

[DOI]