Προσφατες Δημοσιεύσεις

Εμφάνιση όλων (11)

• 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
• A. Doumanoglou, N. Zioulis, V. Sterzentsenko, A. Karakottas, D. Zarpalas, P. Daras, "Benchmarking Gradient-Free Optimizers for 3D Performance Capture in the Nevergrad Platform", in Genetic and Evolutionary Computation Conference, July 10-14, 2021.
• A. Doumanoglou, P. Drakoulis, K. Christaki, N. Zioulis, V. Sterzentsenko, A. Karakottas, D. Zarpalas, P. Daras, "Zeroth-Order Optimizer Benchmarking for 3D Performance Capture",in Genetic and Evolutionary Computation Conference, July 10-14, 2021.
• A. Karakottas, N. Zioulis, A. Doumanglou, V. Sterzentsenko, V. Gkitsas, D. Zarpalas, P. Daras, "XR360: A toolkit for mixed 360 and 3D productions",In IEEE International Conference on Multimedia and Expo (ICME) June 2020.
• A. Karakottas, N. Zioulis, S. Samaras, D. Ataloglou, V. Gkitsas, D. Zarpalas, P. Daras, "360^o Surface Regression with a Hyper-Sphere Loss",The 7th International Conference on 3D Vision (3DV), Quebec City, Canada, 16-19 September 2019