AIIA Lab Profile

Prof. Ioannis Pitas Prof. Ioannis Pitas (IEEE Fellow, IEEE Distinguished Lecturer, EURASIP Fellow) is a Professor at the Department of Informatics of AUTH and Director of the Artificial Intelligence and Information Analysis (AIIA) lab. He has 31600+ citations to his work and h-index 85+ (Google Scholar).



Indicative Research Publications

  1. V. Mygdalis, A.Tefas and I.Pitas, “K-Anonymity-inspired Adversarial Attack and Multiple One-class Classification Defense“, Elsevier Neural Networks, pp. 296-307, 2020.
  2. C. Papaioannidis, V. Mygdalis and I.Pitas, “Domain-Translated 3D Object Pose Estimation“, IEEE Transactions on Image Processing, pp. 9279-9291, 2020.
  3. R. Fan, U. Ozgunalp, B. Hosking, M. Liu and I. Pitas, “Pothole detection based on disparity transformation and road surface modeling”, IEEE Transactions on Image Processing, pp.897-908, 2019.
  4. I. Mademlis, A.Tefas and I.Pitas, “A Salient Dictionary Learning Framework for Activity Video Summarization via Key-frame Extraction“, Elsevier Information Sciences, pp. 319-331, 2018.
  5. N.Tsapanos, A.Tefas, N.Nikolaidis and I.Pitas, “Neurons With Paraboloid Decision Boundaries for Improved Neural Network Classification Performance“, IEEE Transactions on Neural Networks and Learning Systems, pp. 284-294, 2018.

Indicative Review/Tutorial Articles

  1. I. Mademlis, N.Nikolaidis, A.Tefas, I.Pitas, T. Wagner and A. Messina, “Autonomous UAV Cinematography: A Tutorial and a Formalized Shot-Type Taxonomy“, ACM Computing Surveys, pp. 105:1-105:33, 2019.
  2. I. Mademlis, N.Nikolaidis, A.Tefas, I.Pitas, T. Wagner and A. Messina, “Autonomous Unmanned Aerial Vehicles Filming in Dynamic Unstructured Outdoor Environments“, IEEE Signal Processing Magazine, pp. 147-153, 2019.
  3. 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.
  4. S. Papadopoulos, I. Mademlis and I.Pitas, “Neural vision-based semantic 3D world modelling”, IEEE Winter Conference on Applications of Computer Vision (WACV) Autonomous Vehicle Vision Workshop (AVVision), to be presented, 2021.

Other Material

  1. Tutorial on “Deep learning and multiple drone vision”, CVPR 2020, Seattle, Washington, USA
  2. Tutorial on “Fast convolution algorithms for embedded computing: applications in computer vision and machine learning”, ECCV 2020, Glasgow, UK
  3. Workshop on “Deep Learning & Computer Vision for autonomous systems: drones in infrastructure inspection”, Thessaloniki, Greece, 2020
  4. Workshop on “Deep Learning and Computer Vision for Autonomous Systems”, Thessaloniki, Greece, 2020