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Vasileios Mygdalis

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affiliation: Aristotle University of Thessaloniki, Greece

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2020 – today

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2024
[c32]
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Vasileios Mygdalis, Nathalie Dens:
Implicit Train-Free Calibration for Video-Based Eye-Tracking. EUSIPCO 2024: 972-976
[c31]
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Marios Nikolaos Militsis, Vasileios Mygdalis, Ioannis Pitas:
Soft ROI Pooling Distillation for Detection Transformers. ICASSP Workshops 2024: 314-319
[c30]
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Dimitrios Psarras, Christos Papaioannidis, Vasileios Mygdalis, Ioannis Pitas:
A Unified DNN-Based System for Industrial Pipeline Segmentation. ICASSP 2024: 7785-7789
[c29]
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Dimitrios Papaioannou, Vasileios Mygdalis, Ioannis Pitas:
Proof of Quality Inference (PoQI): An AI Consensus Protocol for Decentralized DNN Inference Frameworks. ISCC 2024: 1-7
2023
[c28]
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Matthaios Dimitrios Tzimas, Christos Papaioannidis, Vasileios Mygdalis, Ioannis Pitas:
Evaluating Deep Neural Network-based Fire Detection for Natural Disaster Management. BDCAT 2023: 16:1-16:6
[c27]
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Vasileios Mygdalis, Ioannis Pitas:
Exploiting One-Class Classification Optimization Objectives for Increasing Adversarial Robustness. ICASSP 2023: 1-5
[c26]
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Georgios Kalitsios, Vasileios Mygdalis, Ioannis Pitas:
Domain Adaptation in Power Line Segmentation: A New Synthetic Dataset. ICIP 2023: 1820-1824
[c25]
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Stefania Altini, Vasileios Mygdalis, Ioannis Pitas:
AdvRevGAN: On Reversible Universal Adversarial Attacks for Privacy Protection Applications. MLSP 2023: 1-6
[c24]
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Daniel Aláez, Vasileios Mygdalis, Jesús E. Villadangos, Ioannis Pitas:
Real-Time Object Geopositioning from Monocular Target Detection/Tracking for Aerial Cinematography. MMSP 2023: 1-6
2022
[j9]
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Vasileios Mygdalis, Ioannis Pitas:
Hyperspherical class prototypes for adversarial robustness. Pattern Recognit. 125: 108527 (2022)
[c23]
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Vasileios Mygdalis, Lorenzo Carnevale, José Ramiro Martinez de Dios, Dmitriy Shutin, Giovanni Aiello, Massimo Villari, Ioannis Pitas:
OTE: Optimal Trustworthy EdgeAI solutions for smart cities. CCGRID 2022: 842-850
[c22]
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Emmanouil Patsiouras, Vasileios Mygdalis, Ioannis Pitas:
Whitening Transformation inspired Self-Attention for Powerline Element Detection. ICPR 2022: 4844-4849
[c21]
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Iason Karakostas, Vasileios Mygdalis, Ioannis Pitas:
Explaining and verifying the robustness of Visual Object Trackers to noise. IVMSP 2022: 1-5
[c20]
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Emmanouil Patsiouras, Vasileios Mygdalis, Ioannis Pitas:
On the Detection of Powerline Elements with Efficient Transformers. IVMSP 2022: 1-5
[c19]
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Emmanouil Patsiouras, Vasileios Mygdalis, Ioannis Pitas:
A UAV Object Detection Benchmark for Vision-assisted Powerline Element Inspection. IWSSIP 2022: 1-4
[c18]
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Alexandros Zamichos, Vasileios Mygdalis, Ioannis Pitas:
Properties of Learning Multiplicative Universal Adversarial Perturbations in Image Data. MLSP 2022: 1-6
2021
[j8]
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Iason Karakostas, Vasileios Mygdalis, Anastasios Tefas, Ioannis Pitas:
Occlusion detection and drift-avoidance framework for 2D visual object tracking. Signal Process. Image Commun. 90: 116011 (2021)
[c17]
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Iason Karakostas, Vasileios Mygdalis, Ioannis Pitas:
Adversarial Optimization Scheme For Online Tracking Model Adaptation In Autonomous Systems. ICIP 2021: 3358-3362
[c16]
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Vasileios Mygdalis, Anastasios Tefas, Ioannis Pitas:
Introducing K-Anonymity Principles to Adversarial Attacks for Privacy Protection in Image Classification Problems. MLSP 2021: 1-6
2020
[j7]
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  - journals/nn/MygdalisTP20
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Vasileios Mygdalis, Anastasios Tefas, Ioannis Pitas:
K-Anonymity inspired adversarial attack and multiple one-class classification defense. Neural Networks 124: 296-307 (2020)
[j6]
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Christos Papaioannidis, Vasileios Mygdalis, Ioannis Pitas:
Domain-Translated 3D Object Pose Estimation. IEEE Trans. Image Process. 29: 9279-9291 (2020)

2010 – 2019

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2019
[b1]
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Vasileios Mygdalis:
Μέθοδοι μηχανικής μάθησης για σημασιολογική ανάλυση βίντεο. Aristotle University Of Thessaloniki, Greece, 2019
[j5]
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Vasileios Mygdalis, Anastasios Tefas, Ioannis Pitas:
Exploiting multiplex data relationships in Support Vector Machines. Pattern Recognit. 85: 70-77 (2019)
[j4]
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Ioannis Mademlis, Vasileios Mygdalis, Nikos Nikolaidis, Maurizio Montagnuolo, Fulvio Negro, Alberto Messina, Ioannis Pitas:
High-Level Multiple-UAV Cinematography Tools for Covering Outdoor Events. IEEE Trans. Broadcast. 65(3): 627-635 (2019)
[c15]
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Iason Karakostas, Vasileios Mygdalis, Anastasios Tefas, Ioannis Pitas:
On Detecting and Handling target occlusions in Correlation-filter-based 2D tracking. EUSIPCO 2019: 1-5
2018
[j3]
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Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Semi-supervised subclass support vector data description for image and video classification. Neurocomputing 278: 51-61 (2018)
[c14]
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Vasileios Mygdalis, Anastasios Tefas, Ioannis Pitas:
Learning Multi-Graph Regularization for SVM Classification. ICIP 2018: 1608-1612
[c13]
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Ioannis Mademlis, Vasileios Mygdalis, Nikos Nikolaidis, Ioannis Pitas:
Challenges in Autonomous UAV Cinematography: An Overview. ICME 2018: 1-6
[c12]
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Panteleimon Chriskos, Rosen Zhelev, Vasileios Mygdalis, Ioannis Pitas:
Quality Preserving Face de-identification against Deep CNNs. MLSP 2018: 1-6
2017
[j2]
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Alexandros Iosifidis, Vasileios Mygdalis, Anastasios Tefas, Ioannis Pitas:
One-Class Classification Based on Extreme Learning and Geometric Class Information. Neural Process. Lett. 45(2): 577-592 (2017)
[c11]
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Nikos Nikolaidis, Ioannis Mademlis, Orestis Zachariadis, Vasileios Mygdalis, Ioannis Pitas:
2D visual tracking for sports UAV cinematography applications. GlobalSIP 2017: 36-40
[c10]
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Panteleimon Chriskos, Jonathan Munro, Vasileios Mygdalis, Ioannis Pitas:
Face detection hindering. GlobalSIP 2017: 403-407
2016
[j1]
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Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Graph Embedded One-Class Classifiers for media data classification. Pattern Recognit. 60: 585-595 (2016)
[c9]
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Christos Avgerinos, Nikos Nikolaidis, Vasileios Mygdalis, Ioannis Pitas:
Feature extraction and statistical analysis of videos for cinemetric applications. DMIAF 2016: 172-175
[c8]
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Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
One class classification applied in facial image analysis. ICIP 2016: 1644-1648
[c7]
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Vasileios Mygdalis, Anastasios Tefas, Ioannis Pitas:
Exploiting local and global geometric data relationships in Support Vector Data Description. ICPR 2016: 515-519
[c6]
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  - conf/icpr/SamarasMP16
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Stamatis Samaras, Vasileios Mygdalis, Ioannis Pitas:
Robustness in blind camera identification. ICPR 2016: 3874-3879
[c5]
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Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Laplacian one class extreme learning machines for human action recognition. MMSP 2016: 1-5
[c4]
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Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Kernel subclass support vector description for face and human action recognition. SPLINE 2016: 1-5
2015
[c3]
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Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Exploiting subclass information in one-class support vector machine for video summarization. ICASSP 2015: 2259-2263
[c2]
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  - conf/trustcom/MygdalisITP15
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Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Large-Scale Classification by an Approximate Least Squares One-Class Support Vector Machine Ensemble. TrustCom/BigDataSE/ISPA (2) 2015: 6-10
2014
[c1]
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Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Video summarization based on Subclass Support Vector Data Description. CIES 2014: 183-187

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