125 citations · 314 across the 30 of their papers we have counts for
9 papers · 1 filter
Learning using privileged information for segmenting tumors on digital mammograms
Ioannis N. Tzortzis, Konstantinos Makantasis, Ioannis Rallis +3
Limited amount of data and data sharing restrictions, due to GDPR compliance, constitute two common factors leading to reduced availability and accessibility when referring to medi…
A Few-Shot Attention Recurrent Residual U-Net for Crack Segmentation
Iason Katsamenis, Eftychios Protopapadakis, Nikolaos Bakalos +3
Recent studies indicate that deep learning plays a crucial role in the automated visual inspection of road infrastructures. However, current learning schemes are static, implying n…
Automatic inspection of cultural monuments using deep and tensor-based learning on hyperspectral imagery
Ioannis N. Tzortzis, Ioannis Rallis, Konstantinos Makantasis +3
In Cultural Heritage, hyperspectral images are commonly used since they provide extended information regarding the optical properties of materials. Thus, the processing of such hig…
TraCon: A novel dataset for real-time traffic cones detection using deep learning
Iason Katsamenis, Eleni Eirini Karolou, Agapi Davradou +4
Substantial progress has been made in the field of object detection in road scenes. However, it is mainly focused on vehicles and pedestrians. To this end, we investigate traffic c…
Evaluating the Usefulness of Unsupervised monitoring in Cultural Heritage Monuments
Charalampos Zafeiropoulos, Ioannis N. Tzortzis, Ioannis Rallis +3
In this paper, we scrutinize the effectiveness of various clustering techniques, investigating their applicability in Cultural Heritage monitoring applications. In the context of t…
Pixel-level Corrosion Detection on Metal Constructions by Fusion of Deep Learning Semantic and Contour Segmentation
Iason Katsamenis, Eftychios Protopapadakis, Anastasios Doulamis +2
Corrosion detection on metal constructions is a major challenge in civil engineering for quick, safe and effective inspection. Existing image analysis approaches tend to place boun…
Semi-Supervised Fine-Tuning for Deep Learning Models in Remote Sensing Applications
Eftychios Protopapadakis, Anastasios Doulamis, Nikolaos Doulamis +1
A combinatory approach of two well-known fields: deep learning and semi supervised learning is presented, to tackle the land cover identification problem. The proposed methodology…
Tensor-Based Classifiers for Hyperspectral Data Analysis
Konstantinos Makantasis, Anastasios Doulamis, Nikolaos Doulamis +1
In this work, we present tensor-based linear and nonlinear models for hyperspectral data classification and analysis. By exploiting principles of tensor algebra, we introduce new c…
Data-Driven Background Subtraction Algorithm for in-Camera Acceleration in Thermal Imagery
Konstantinos Makantasis, Antonis Nikitakis, Anastasios Doulamis +2
Detection of moving objects in videos is a crucial step towards successful surveillance and monitoring applications. A key component for such tasks is called background subtraction…