Selected Publications

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[ Author(Desc)] Title Type Year
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A
P. Antonakaki, Kosmopoulos, D., and Perantonis, S. J., “Detecting abnormal human behaviour using multiple cameras”, Signal Processing, vol. 89, no. 9, pp. 1723 - 1738, 2009.PDF icon sp09.pdf (711.81 KB)
N. Arvanitis, Sartinas, E., and Kosmopoulos, D., “Procrustes-DTW: Dynamic Time Warping Variant for the Recognition of Sign Language Utterances”, in 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW), 2023.PDF icon Procrustes-DTW_ICASSPW_2023.pdf (511.79 KB)
N. Arvanitis, Constantinopoulos, C., and Kosmopoulos, D., “Translation of Sign Language Glosses to Text Using Sequence-to-Sequence Attention Models”, The 15th International Conference on Signal Image Technology & Internet based Systems - SITIS. 2019.PDF icon sitis2019.pdf (240.54 KB)
B
A. Bifis, Psarakis, E., and Kosmopoulos, D., “Developing Robust and Lightweight Adversarial Defenders by Enforcing Orthogonality on Attack-Agnostic Denoising Autoencoders”, International Conference on Computer Vision, Workshop on Resource Efficient Deep Learning for Computer Vision. 2023.PDF icon RobustAE_ICCVW_2023.pdf (743.54 KB)
K. Blekos and Kosmopoulos, D., “A Quantum 3D Convolutional Neural Network with Application in Video Classification”, International Symposium on Visual Computing, LNCS 13017 vol. pp. 601-612, 2021.PDF icon Q3DCNN-isvc2021.pdf (384.73 KB)
K. Blekos and Kosmopoulos, D., “Quantum Data Reduction with Application to Video Classification”, ACM/IEEE Workshop on Quantum Computing. 2022.PDF icon Quantum_Data_Reduction_2022.pdf (1.11 MB)
C
S. P. Chatzis and Kosmopoulos, D., “A variational Bayesian methodology for hidden Markov models utilizing Student's-t mixtures”, Pattern Recognition, vol. 44, no. 2, pp. 295 - 306, 2011.PDF icon pat-rec-10.pdf (919.11 KB)
S. P. Chatzis and Kosmopoulos, D. I., “A Non-Stationary Infinite Partially Observable Markov Decision Process”, International Conference on Artificial Neural Networks. 2014.PDF icon pomdp.pdf (110.83 KB)
S. P. Chatzis and Kosmopoulos, D., “Visual Workflow Recognition Using a Variational Bayesian Treatment of Multistream Fused Hidden Markov Models”, Circuits and Systems for Video Technology, IEEE Transactions on, vol. 22, no. 7, pp. 1076 -1086, 2012.PDF icon ieee-t-csvt12.pdf (705.09 KB)
S. P. Chatzis, Kosmopoulos, D., and Doliotis, P., “A Conditional Random Field-Based Model for Joint Sequence Segmentation and Classification”, Pattern Recognition, vol. 46, no. 6, pp. 1569-1578, 2013.PDF icon pat_rec12.pdf (8.04 MB)

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