Προσφατες Δημοσιεύσεις

Εμφάνιση όλων (10)

• S. Karavarsamis, I. Gkika, V. Gkitsas, K. Konstantoudakis, D. Zarpalas, "A Survey of Deep Learning-Based Image Restoration Methods for Enhancing Situational Awareness at Disaster Sites: The Cases of Rain, Snow and Haze.",Sensors 2022, 22, 4707. https://doi.org/10.3390/s22134707
• G. Albanis, V. Gkitsas, N. Zioulis, S. Onsori-Wechtitsch, R. Whitehand, P. Ström, D. Zarpalas, "An AI-based system offering automatic DR-enhanced AR for indoor scenes.",International Conference on Artificial Intelligence and Virtual Reality (AIVR) 2022, Virtual.
• V. Gkitsas, N. Zioulis, V. Sterzentsenko, A. Doumanoglou, D. Zarpalas, "Towards Full-to-Empty Room Generation with Structure-Aware Feature Encoding and Soft Semantic Region-Adaptive Normalization.", VISIGRAPP 2021: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications., Virtual. https://arxiv.org/pdf/2112.05396.pdf
• A. Chatzitofis, P. Cancian, V. Gkitsas, A. Carlucci, P. Stalidis, G. Albanis, A. Karakottas, T. Semertzidis, P. Daras, "Volume-of-Interest Aware Deep Neural Networks for Rapid Chest CT-Based COVID-19 Patient Risk Assessment",International Journal of Environmental Research and Public Health, 18(6), p. 2842, Special Issue Deep Learning: AI Steps Up in Battle against COVID-19, 2021. DOI: https://doi.org/10.3390/ijerph18062842
• 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.