Visual Computing Lab

Dr. Theodoros Semertzidis discusses challenges in critical infrastructure protection and CERTH’s contribution in InfraStress   In an online interview with the dissemination manager of InfraStress, Dr. Theodoros Semertzidis discusses some of the challenges associated with protecting critical infrastructure as well as various technologies developed by CERTH towards this goal. More specifically, the Visual Computing Lab of CERTH is expected to deploy computer vision and machine learning solutions in order to provide automated anomaly detection and human action recognition capabilities to…

Dr. Nicholas Vretos is guest editor of the upcoming Sensors special issue “Smart Camera Sensor Networks”   Today more than ever, we are witnessing an uncontrolled proliferation of surveillance cameras in our cities. Many of these cameras have sufficient computing power to process images autonomously and are able to communicate over high-speed networks and in the near future wirelessly over the 5G network. This grid potentially constitutes a network of intelligent cameras with great potential still largely unexplored in its…

In 2020, for the first time, ICIP recognized the effort of the top reviewers nominated by the area chairs. On behalf of everyone involved, the head of VCL, Dr. Petros Daras, was among the 3% of reviewers to receive this distinction.

The nine Sectoral Scientific Councils that were announced will support the National Council for Research, Technology and Innovation in the decision-making process regarding these scientific areas.

The virtual Q&A session will be centered around how Information and Communications Technology (ICT) can help migrant inclusion in the EU.

Three teams within the Visual Computing Lab (VCL) will participate in ECCV 2020 workshops.

A paper dealing with a novel multi-view methodology for graph-based neural networks has been accepted for publication at ECCV 2020.

A mutual effort by the Visual Computing Lab and the Humanitas Research Hospital aims to provide doctors with an automated system for prioritizing patient treatment needs in order to augment their decision making process.