Conferences

Artificial Intelligence & Information Analysis

2024

  1. D. Psarras, C. Papaioannidis, V. Mygdalis and I.Pitas, "A Unified DNN-Based System for industrial pipeline segmentation", in Proc. 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), April 14-19, 2024.

2023

  1. V. Mygdalis and I.Pitas, "Exploiting one-class classification optimization objectives for increasing adversarial robustness", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023.
  2. G. Kalitsios, V. Mygdalis and I.Pitas, "Enhancing Power Line Segmentation for UAV Inspection utilizing Synthetic Data", IEEE International Conference on Robotics and Automation (ICRA), Workshop on The Role of Robotics Simulators for Unmanned Aerial Vehicles, 2023.
  3. G. Kalitsios, V. Mygdalis and I.Pitas, "Domain Adaptation in Powerline Segmentation: A New Synthetic Dataset", IEEE International Conference on Image Processing (ICIP), 2023.
  4. S. Altini, V. Mygdalis and I.Pitas, "AdvRevGan: On Reversible Universal Adversarial Attacks for privacy protection applications", Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2023.
  5. D. Alaez, V. Mygdalis, J. Villadangos and I.Pitas, "eal-time object geopositioning from monocular target detection/tracking for aerial cinematography", in International Workshop on MultiMedia Signal Processing (MMSP), 2023.
  6. M. - D. Tzimas, C. Papaioannidis, V. Mygdalis and I.Pitas, "Evaluating Deep Neural Network-based Fire Detection for Natural Disaster Management", in 2023 IEEE/ACM 16th International Conference on Utility and Cloud Computing (UCC '23), December 4-7, 2023.

2022

  1. E. Patsiouras, V. Mygdalis and I.Pitas, "A UAV Object Detection Benchmark for Visionassisted Powerline Element Inspection", International Conference on Systems, Signals and Image Processing (IWSSIP), 2022.
  2. E. Patsiouras, V. Mygdalis and I.Pitas, "On the Detection of Powerline Elements with Efficient Transformers", IEEE Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), 2022.
  3. I. Karakostas, V. Mygdalis and I.Pitas, "Explaining and verifying the robustness of Visual Object Trackers to noise", IEEE Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), 2022.
  4. A. Zamichos, V. Mygdalis and I.Pitas, "Properties of learning multiplicative universal adversarial perturbations in image data", Workshop Machine Learning for Signal Processing (MLSP), 2022.
  5. E. Patsiouras, V. Mygdalis and I.Pitas, "Whitening Transformation inspired Self-Attention for Powerline Element Detection", International Conference on Pattern Recognition (ICPR), 2022.
  6. V. Mygdalis, L. Carnevale, J.R. Martinez de Dios, D.Shutin, G.Aiello, M.Villari and I.Pitas, "OTE: Optimal Trustworthy EdgeAI solutions for smart cities", IEEE/ACM international Symposium on Cluster, Cloud and Internet Computing (CCGrid), Workshop on Cloud-to-Things continuum: towards the convergence of IoT, Edge and Cloud Computing (Cloud2Things),, 2022.

2021

  1. I. Karakostas, V. Mygdalis and I.Pitas, "Adversarial Optimization Scheme for Online Tracking Model Adaptation in Autonomous Systems", Special Session Autonomous Vehicle Vision in IEEE International Conference on Image Processing (ICIP), 19-22 September, 2021.
  2. V. Mygdalis, A.Tefas and I.Pitas, "Introducing K-Anonymity Principles to Adversarial Attacks for Privacy Protection in Image Classification Problems", Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2021.

2019

  1. I. Karakostas, V. Mygdalis, A.Tefas and I.Pitas, "On Detecting and Handling Target Occlusions in Correlation-filter-based 2D Tracking", Proceedings of the 27th European Signal Processing Conference (EUSIPCO), September 2-6, 2019.

2018

  1. I. Mademlis, V. Mygdalis, N.Nikolaidis and I.Pitas, "Challenges in Autonomous UAV cinematography: An Overview", Proceedings of the IEEE International Conference on Multimedia and Expo (ICME), 2018.
  2. V. Mygdalis, A.Tefas and I.Pitas, "Learning Multi-graph Regularization for SVM Classification", Proceedings of the IEEE International Conference on Image Processing (ICIP), October 7-10, 2018.
  3. A. Messina, S.Metta, M. Montagnuolo, F. Negro, V. Mygdalis, I.Pitas, J. Capitan, A. Torres-Gonzalez, S. Boyle, D. Bull and F. Zhang, "The Future of Media Production Through MULTIDRONES\\\' Eyes", International Broadcasting Convention (IBC), 2018.
  4. P. Chriskos, R. Zhelev, V. Mygdalis and I.Pitas, "Quality Preserving Face De-Identification Against Deep CNNs", Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing (MLSP), September, 2018.

2017

  1. P. Chriskos, J. Munro, V. Mygdalis and I.Pitas, "Face Detection Hindering", Proceedings of the IEEE Global Conference on Signal and Information Processing (GLOBALSIP), 2017.
  2. O. Zachariadis, V. Mygdalis, I. Mademlis, N.Nikolaidis and I.Pitas, "2D Visual Tracking for Sports UAV Cinematography Applications", Proceedings of the IEEE Global Conference on Signal and Information Processing (GLOBALSIP), 2017.
  3. I. Mademlis, V. Mygdalis, C. Raptopoulou, N.Nikolaidis, N.Heise, T.Koch, T. Wagner, A. Messina, F. Negro, S.Metta and I.Pitas, "Overview of Drone Cinematography for Sports Filming (short)", Proceedings of the European Conference on Visual Media Production (CVMP), 2017.

2016

  1. V. Mygdalis, A.Iosifidis, A.Tefas and I.Pitas, "One Class Classification applied in facial image analysis", IEEE International Conference on Image Processing (ICIP), 2016.
  2. C. Avgerinos, N.Nikolaidis, V. Mygdalis and I.Pitas, "Feature extraction and statistical analysis of videos for cinemetric applications", IEEE Digital Media Industry and Academic Forum (DMIAF), 2016.
  3. V. Mygdalis, A.Iosifidis, A.Tefas and I.Pitas, "Kernel Subclass Support Vector Description for Face and Human Action Recognition", International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE), 2016.
  4. V. Mygdalis, A.Iosifidis, A.Tefas and I.Pitas, "Laplacian One Class Extreme Learning Machines for Human Action Recognition", IEEE Workshop on Multimedia Signal Processing (MMSP), 2016.
  5. V. Mygdalis, A.Tefas and I.Pitas, "Exploiting local and global geometric data relationships in Support Vector Data Description", International Conference on Pattern Recognition (ICPR), 2016.
  6. S. Samaras, V. Mygdalis and I.Pitas, "Robustness in Blind Camera Identification", International Conference on Pattern Recognition (ICPR), 2016.

2015

  1. V. Mygdalis, A.Iosifidis, A.Tefas and I.Pitas, "Large-scale classification by an Approximate Least Squares One-Class Support Vector Machine ensemble", IEEE International Conference on Big Data Science and Engineering (BigDataSE), 2015.
  2. V. Mygdalis, A.Iosifidis, A.Tefas and I.Pitas, "Exploiting Subclass Information in One-class Support Vector Machine for Video Summarization", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 19-24 April, 2015.

2014

  1. V. Mygdalis, A.Iosifidis, A.Tefas and I.Pitas, "Video summarization based on subclass Support Vector Data Description", IEEE Symposium Series on Computational Intelligence (SSCI): Computational Intelligence for Engineering Solutions, 2014.
  2. V. Mygdalis, A.Iosifidis, A.Tefas and I.Pitas, "Supervised video summarization by content-based video segment selection” (short)", European Conference on Visual Media Production (CVMP), 2014.

The documents contained in these directories are included by the contributing authors as a means to ensure timely dissemination of scholarly and technical work on a non-commercial basis. Copyright and all rights therein are maintained by the authors and by other copyright holders, notwithstanding that they have offered their works here electronically. It is only allowed to copy this information if you adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

Some of the articles in this web site are copyrighted by IEEE and the following notice applies: © 1980-2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

©  2024 AIIA LAB. Built using WordPress and the Highlight Theme