ROBORDER – Multimodal Data Fusion and Analytics Group

Sensor Data Fusion and Autonomous Unmanned Vehicles for the Protection of Critical Infrastructures

K. Ioannidis,G. Orfanidis, M. Krestenitis, S. Vrochidis, & I. Kompatsiaris, "Sensor Data Fusion and Autonomous Unmanned Vehicles for the Protection of Critical Infrastructures" , Terahertz (THz), Mid Infrared (MIR) and Near Infrared (NIR) Technologies for Protection of Critical Infrastructures Against Explosives and CBRN, Book Series: NATO Science for Peace and Security Series B: Physics and Biophysics, Springer Netherlands, 2021, 3-17.

ITI-CERTH participation in TRECVID 2019

K. Gkountakos, K. Ioannidis, S. Vrochidis, I. Kompatsiaris, "ITI-CERTH participation in TRECVID 2019", Proc. TRECVID 2019 Workshop, Gaithersburg, MD, USA, Nov. 2019.

Oil Spill Identification from Satellite Images Using Deep Neural Networks

M. Krestenitis, G. Orfanidis, K. Ioannidis, K. Avgerinakis, S. Vrochidis and I. Kompatsiaris. "Oil Spill Identification from Satellite Images Using Deep Neural Networks". Remote Sensing, 11(15), 1762, 26 July 2019.

EUCISE-OWL: An Ontology-based Representation of the Common Information Sharing Environment (CISE) for the Maritime Domain

M. Riga, E. Kontopoulos, K. Ioannidis, S. Kintzios, S. Vrochidis, I. Kompatsiaris (2020). “EUCISE-OWL: An Ontology-based Representation of the Common Information Sharing Environment (CISE) for the Maritime Domain” Semantic Web, vol. 12, no. 4, pp. 603-615, 2021.

Speed Estimation and Abnormality Detection from Surveillance Cameras

P. Giannakeris, V. Kaltsa, K. Avgerinakis, A. Briassouli, S. Vrochidis and I. Kompatsiaris,"Speed Estimation and Abnormality Detection from Surveillance Cameras'', in CVPRW NVIDIA AI City Challenge, 2018.

A deep neural network for oil spill semantic segmentation in SAR images

G. Orfanidis, K. Ioannidis, K. Avgerinakis, S. Vrochidis and I. Kompatsiaris, "A deep neural network for oil spill semantic segmentation in SAR images", in IEEE Int. Conf. on Image Processing (ICIP 2018), Athens, Greece, October 2018.

Oil spill identification from satellite images using deep neural networks

M.Krestenitis, G. Orfanidis, K.Ioannidis, K.Avgerinakis, S.Vrochidis, & I.Kompatsiaris,"Oil spill identification from satellite images using deep neural networks", Remote Sensing, 11(15), 1762, 26 July 2017.

Early Identification of Oil Spills in Satellite Images Using Deep CNNs

M. Krestenitis, G. Orfanidis, K. Ioannidis, K. Avgerinakis, S. Vrochidis and I. Kompatsiaris,"Early Identification of Oil Spills in Satellite Images Using Deep CNNs", In International Conference on Multimedia Modeling (pp. 424-435), Springer, Cham, January 2019.

ITI-CERTH participation in TRECVID 2018

K. Avgerinakis, A. Moumtzidou, D. Galanopoulos, G. Orfanidis, S. Andreadis, F. Markatopoulou, E. Batziou, K. Ioannidis, S. Vrochidis, V. Mezaris, I. Kompatsiaris, "ITI-CERTH participation in TRECVID 2018", in Proc. TRECVID 2018 Workshop, Gaithersburg, MD, USA, Nov. 2018.

Autonomous swarm of heterogeneous robots for surveillance operations

G. Orfanidis, S. Apostolidis, A. Kapoutsis, K. Ioannidis, E. Kosmatopoulos, S. Vrochidis, & I. Kompatsiaris , "Autonomous swarm of heterogeneous robots for surveillance operations", in Workshop on Vision-enabled UAV and counter-UAV technologies for surveillance and security of critical infrastructures (UAV4S), Thessaloniki, Greece, 2019.

A modified Single-Shot multibox Detector for beyond Real-Time Object Detection

G. Orfanidis, K. Ioannidis, A. Tefas, S. Vrochidis, Y. Kompatsiaris, "A modified Single-Shot multibox Detector for beyond Real-Time Object Detection", 25th International Conference on Pattern Recognition, (ICPR 2020), 10 & 15 January 2021, Milan, Italy.

Border surveillance using computer vision enabled robotic swarms for semantically enriched situational awareness

G. Orfanidis, S. Apostolidis, G. Prountzos, M. Riga, A. Kapoutsis, K. Ioannidis, E. Kosmatopoulos, S. Vrochidis, I. Kompatsiaris, "Border surveillance using computer vision enabled robotic swarms for semantically enriched situational awareness", in Mediterranean Security Event 2019 (MSE2019) 29th and the 31st of October 2019 Heraklion, Greece.