Theodosios Gkamas, Ph.D.
Theodosios Gkamas, Ph.D.
Ph.D. in Signal & Image Processing, University of Strasbourg, Senior R&D Scientific Researcher at
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Variational-Bayes optical flow
G Chantas, T Gkamas, C Nikou
Journal of mathematical imaging and vision 50 (3), 199-213, 2014
Guiding optical flow estimation using superpixels
T Gkamas, C Nikou
2011 17th International Conference on Digital Signal Processing (DSP), 1-6, 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
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
Variational-Bayes optical flow
T Gkamas, G Chantas, C Nikou
Technical Report 2012-1, University of Ioannina, Department of Computer …, 0
Optical flow estimation using spatially varying smoothing
T Gkamas
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Articles 1–6