Variational-Bayes optical flow G Chantas, T Gkamas, C Nikou Journal of mathematical imaging and vision 50 (3), 199-213, 2014 | 21 | 2014 |
Guiding optical flow estimation using superpixels T Gkamas, C Nikou 2011 17th International Conference on Digital Signal Processing (DSP), 1-6, 2011 | 8 | 2011 |
A probabilistic formulation of the optical flow problem T Gkamas, G Chantas, C Nikou Proceedings of the 21st International Conference on Pattern Recognition …, 2012 | 5 | 2012 |
A fourth order tensor statistical model for diffusion weighted MRI - application to population comparison T Gkamas, F Renard, C Heinrich, S Kremer International Conference on Pattern Recognition Applications and Methods …, 2015 | 2* | 2015 |
Variational-Bayes optical flow T Gkamas, G Chantas, C Nikou Technical Report 2012-1, University of Ioannina, Department of Computer …, 0 | 2 | |
Performance Evaluation of Distributed Database Strategies Using Docker as a Service for Industrial IoT Data: Application to Industry 4.0 T Gkamas, V Karaiskos, S Kontogiannis Information 13 (4), 190, 2022 | 1 | 2022 |
Driving Speed Estimation and Trapped Drivers’ Detection inside Tunnels Using Distributed MIMO Bluetooth Devices S Kontogiannis, A Kastellos, G Kokkonis, T Gkamas, C Pikridas Electronics 11 (2), 265, 2022 | | 2022 |
Proposed Distributed System Architecture and Preliminary Measurements for the Detection of Trapped Individuals Inside Motorway Tunnels S Kontogiannis, A Kastellos, G Kokkonis, T Gkamas, C Pikridas 2021 IEEE 9th International Conference on Information, Communication and …, 2021 | | 2021 |
Optical flow estimation using spatially varying smoothing T Gkamas | | 2010 |