Δημοσιεύσεις Σε Περιοδικά

  1. S. Karavarsamis, I. Gkika, V. Gkitsas, K. Konstantoudakis, D. Zarpalas, "A survey of deep learning-based image restoration methods for enhancingsituational awareness at disaster sites: the cases of rain, snow and haze", MDPI Sensors, 22(13), 4707, 2022. https://doi.org/10.3390/s22134707
  2. 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), Virtual. (2022).
  3. 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

Δημοσιεύσεις Σε Συνέδρια

  1. W. Bailer, V. Gkitsas, P. Drakoulis, R. Huemer, D. Zarpalas, "Indoor Planning Using Diminished and Augmented Reality", 1st Int. Workshop on Analytics, Learning & Collaboration in eXtended Reality, IMX XRWALC 2022, Virtual. (2022).
  2. 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.
  3. 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.
  4. 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.(2021). https://arxiv.org/pdf/2112.05396.pdf
  5. V. Gkitsas, N. Zioulis, F. Alvarez, D. Zarpalas, P. Daras, "Deep Lighting Environment Map Estimation from Spherical Panoramas",In 2020 Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, June 2020.
  6. 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.
  7. A. Karakottas, N. Zioulis, S. Samaras, D. Ataloglou, V. Gkitsas, D. Zarpalas, P. Daras, "360o Surface Regression with a Hyper-Sphere Loss",The 7th International Conference on 3D Vision (3DV), Quebec City, Canada, 16-19 September 2019
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