147 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Christos Diou2 profiles9 · h 9
- Aristotelis Ballas6 · h 6
- Georgios Th. Papadopoulos2 profiles6 · h 6
- Iraklis Varlamis2 profiles6 · h 29
- Ioannis Mademlis5 · h 6
- K. Tserpes4 · h 40
- T. Varvarigou4 · h 37
- Vasileios Papapanagiotou4 · h 12
- A. Alsalemi3 · h 27
- A. Amira3 · h 50
- Adamantia Anna Rebolledo Chrysochoou3 · h 3
- B. Kostopoulos3 · h 1
- National Technical University of AthensGR7 papers
- Vrije Universiteit BrusselBE4 papers
- Aristotle University of ThessalonikiGR3 papers
- Centre for Research and Technology HellasGR3 papers
- De Montfort UniversityGB3 papers
- National and Kapodistrian University of AthensGR3 papers
- Qatar UniversityQA3 papers
- University of the AegeanGR3 papers
- Athens University of Economics and BusinessGR2 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- École de Technologie SupérieureCA2 papers
- Frontier Science Foundation-HellasGR2 papers
4 papers · 2 filters
FaceX: Understanding Face Attribute Classifiers through Summary Model Explanations
Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos +1
EXplainable Artificial Intelligence (XAI) approaches are widely applied for identifying fairness issues in Artificial Intelligence (AI) systems. However, in the context of facial a…
Illicit object detection in X-ray images using Vision Transformers
Jorgen Cani, Ioannis Mademlis, Adamantia Anna Rebolledo Chrysochoou +1
Illicit object detection is a critical task performed at various high-security locations, including airports, train stations, subways, and ports. The continuous and tedious work of…
Self-supervised visual learning in the low-data regime: a comparative evaluation
Sotirios Konstantakos, Jorgen Cani, Ioannis Mademlis +4
Self-Supervised Learning (SSL) is a valuable and robust training methodology for contemporary Deep Neural Networks (DNNs), enabling unsupervised pretraining on a 'pretext task' tha…
Rapid post-disaster infrastructure damage characterisation enabled by remote sensing and deep learning technologies -- a tiered approach
Nadiia Kopiika, Andreas Karavias, Pavlos Krassakis +6
Critical infrastructure, such as transport networks and bridges, are systematically targeted during wars and suffer damage during extensive natural disasters because it is vital fo…