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Dimitrios Kosmopoulos
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G
D. Moroni
and
Kosmopoulos, D.
,
“
Guest Editorial: New Frontiers in Image and Video Processing for Sustainable Agriculture
”
,
IET Image Processing
, vol. 19, p. e70032, 2025.
Google Scholar
BibTex
H
P. Doliotis
,
Athitsos, V.
,
Kosmopoulos, D. I.
, and
Perantonis, S. J.
,
“
Hand Shape and 3D Pose Estimation Using Depth Data from a Single Cluttered Frame.
”
, in
International Symposium on Visual Computing (ISVC)
, 2012.
Google Scholar
BibTex
isvc2012.pdf
(232.73 KB)
D. Kosmopoulos
and
Maglogiannis, I.
,
“
Hand Tracking for Gesture Recognition Tasks using Dynamic Bayesian Network
”
,
International Journal of Intelligent Systems and Applications
, vol. 1, no. 3-4, pp. 359-375, 2006.
Google Scholar
BibTex
ijista-06.pdf
(1.38 MB)
A. Makris
,
Kosmopoulos, D.
,
Perantonis, S. J.
, and
Theodoridis, S.
,
“
Hierarchical Feature Fusion for Visual Tracking
”
,
IEEE Int Conf on Image Processing
, VI vol. pp. 289-292, 2007.
Google Scholar
BibTex
icip07.pdf
(339.91 KB)
A. Makris
,
Kosmopoulos, D.
,
Perantonis, S.
, and
Theodoridis, S.
,
“
A hierarchical feature fusion framework for adaptive visual tracking
”
,
Image and Vision Computing
, vol. 29, no. 9, pp. 594 - 606, 2011.
Google Scholar
BibTex
ImVis_11.pdf
(2.11 MB)
J. Marchand
,
“
How AI is revealing the secrets of ancient texts
”
,
Nature
, vol. 637, 2025.
Google Scholar
BibTex
d41586-024-04161-z.pdf
(432.5 KB)
I
A. S. Voulodimos
,
Doulamis, N. D.
,
Kosmopoulos, D. I.
, and
Varvarigou, T. A.
,
“
Improving Multi-Camera Activity Recognition by Employing Neural Network Based Readjustment
”
,
Applied Artificial Intelligence
, vol. 26, no. 1-2, pp. 97-118, 2012.
Google Scholar
BibTex
AAI10.pdf
(1.05 MB)
L
S. Chatzis
and
Kosmopoulos, D.
,
“
A Latent Manifold Markovian Dynamics Gaussian Process
”
,
Neural Networks and Learning Systems, IEEE Transactions on
, vol. 26, no. 1, pp. 70-83, 2015.
Google Scholar
BibTex
TNNLS2311073.pdf
(666.5 KB)
M
D. Kosmopoulos
,
Varvarigou, T. A.
,
Emiris, D. M.
, and
Kostas, A. A.
,
“
MD-SIR: a methodology for developing sensor—guided industry robots
”
,
Robotics and Computer-Integrated Manufacturing
, vol. 18, no. 5-6, pp. 403 - 419, 2002.
Google Scholar
BibTex
robcim02.pdf
(779.89 KB)
D. I. Kosmopoulos
and
Makedon, F.
,
“
A method for online analysis of structured processes using bayesian filters and echo state networks
”
,
Proceedings of the 12th European Conference on Computer Vision - Volume Part III
. Springer-Verlag, Florence - Italy, pp. 71-80, 2012.
Google Scholar
BibTex
eccv2012.pdf
(313.22 KB)
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