Visual Computing Lab

Dr. Nicholas Vretos and Dr. Dimitrios Zarpalas are guest editors of the Sensors special issue titled “Neural Networks and Semantic Analysis in Sensor, Image and Video Processing”   Recent advancements in machine learning have driven researchers and the industry to progressively integrate neural networks into an abundance of applications in domains such as media, healthcare, security, banking or retail. The power of deep neural networks is situated in their predicting efficiency and adaptability to diverse circumstances, depending on their specific…

Mr. Georgios Albanis and Mr. Vasileios Gkitsas presented their works to the OmviCV Workshop of CVPR 2021:
> G. Albanis, N. Zioulis, P. Drakoulis, V. Gkitsas, V. Sterzentsenko, F. Alvarez, D. Zarpalas, P. Daras, “Pano3D: A Holistic Benchmark and a Solid Baseline for 360 Depth Estimation”, in IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), June, 2021.
> V. Gkitsas, V. Sterzentsenko, N. Zioulis, G. Albanis, D. Zarpalas, “PanoDR: Spherical Panorama Diminished Reality for Indoor Scenes”, in IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), June, 2021.

Dr. Dimitrios Zarpalas and Dr. Anastasios Dimou Have Joined the Editorial Board of MDPI Drones   Drones is an international, peer-reviewed, open access journal. The journal focuses on design and applications of drones, including unmanned aerial vehicle (UAV), Unmanned Aircraft Systems (UAS) and Remotely Piloted Aircraft Systems (RPAS). Drones is the only international open-access journal about the science, policy and technology of drones and its applications. Nowadays, the proliferation of drones is a reality for local policy makers, regulatory bodies,…

VCL Stands Out in the ICMCIS 2021 Drone Detection Challenge   The International Conference on Military Communication and Information Systems (ICMCIS) organized by NATO Communications and Information Agency announced a data challenge asking participants to track, classify and identify Class I UAS as they fly within a defined area, from data provided by the available sensors. The drones had to be tracked, to show their location and velocity, classified to indicate their object type (e.g. drone, bird) and identified to…