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
14 papers · 1 filter
Survey on Hand Gesture Recognition from Visual Input
Manousos Linardakis, Iraklis Varlamis, Georgios Th. Papadopoulos
Hand gesture recognition has become an important research area, driven by the growing demand for human-computer interaction in fields such as sign language recognition, virtual and…
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…
FLOGA: A machine learning ready dataset, a benchmark and a novel deep learning model for burnt area mapping with Sentinel-2
Maria Sdraka, Alkinoos Dimakos, Alexandros Malounis +4
Over the last decade there has been an increasing frequency and intensity of wildfires across the globe, posing significant threats to human and animal lives, ecosystems, and socio…
Explainable Image Similarity: Integrating Siamese Networks and Grad-CAM
Ioannis E. Livieris, Emmanuel Pintelas, Niki Kiriakidou +1
With the proliferation of image-based applications in various domains, the need for accurate and interpretable image similarity measures has become increasingly critical. Existing…
Self-supervised visual learning for analyzing firearms trafficking activities on the Web
Sotirios Konstantakos, Despina Ioanna Chalkiadaki, Ioannis Mademlis +2
Automated visual firearms classification from RGB images is an important real-world task with applications in public space security, intelligence gathering and law enforcement inve…
Visual inspection for illicit items in X-ray images using Deep Learning
Ioannis Mademlis, Georgios Batsis, Adamantia Anna Rebolledo Chrysochoou +1
Automated detection of contraband items in X-ray images can significantly increase public safety, by enhancing the productivity and alleviating the mental load of security officers…
MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision
Jianning Li, Zongwei Zhou, Jiancheng Yang +154
Prior to the deep learning era, shape was commonly used to describe the objects. Nowadays, state-of-the-art (SOTA) algorithms in medical imaging are predominantly diverging from co…
Multi-Scale and Multi-Layer Contrastive Learning for Domain Generalization
Aristotelis Ballas, Christos Diou
During the past decade, deep neural networks have led to fast-paced progress and significant achievements in computer vision problems, for both academia and industry. Yet despite t…
CNN Feature Map Augmentation for Single-Source Domain Generalization
Aristotelis Ballas, Christos Diou
In search of robust and generalizable machine learning models, Domain Generalization (DG) has gained significant traction during the past few years. The goal in DG is to produce mo…
Multi-layer Representation Learning for Robust OOD Image Classification
Aristotelis Ballas, Christos Diou
Convolutional Neural Networks have become the norm in image classification. Nevertheless, their difficulty to maintain high accuracy across datasets has become apparent in the past…
Self-supervised Contrastive Learning for Volcanic Unrest Detection
Nikolaos Ioannis Bountos, Ioannis Papoutsis, Dimitrios Michail +1
Ground deformation measured from Interferometric Synthetic Aperture Radar (InSAR) data is considered a sign of volcanic unrest, statistically linked to a volcanic eruption. Recent…