Michalis Vrigkas
Michalis Vrigkas
Assistant Professor, Dept. Communication and Digital Media, University of Western Macedonia, Greece
Zweryfikowany adres z uowm.gr - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
A review of human activity recognition methods
M Vrigkas, C Nikou, IA Kakadiaris
Frontiers in Robotics and AI 2, 28, 2015
2452015
Machine learning outperforms ACC/AHA CVD risk calculator in MESA
IA Kakadiaris, M Vrigkas, AA Yen, T Kuznetsova, M Budoff, M Naghavi
Journal of the American Heart Association 7 (22), e009476, 2018
592018
Matching mixtures of curves for human action recognition
M Vrigkas, V Karavasilis, C Nikou, IA Kakadiaris
Computer Vision and Image Understanding 119, 27-40, 2014
462014
Segmentation of cell clusters in Pap smear images using intensity variation between superpixels
ME Plissiti, M Vrigkas, C Nikou
2015 International Conference on Systems, Signals and Image Processing …, 2015
212015
Accurate image registration for MAP image super-resolution
M Vrigkas, C Nikou, LP Kondi
Signal Processing: Image Communication 28 (5), 494-508, 2013
202013
Adaptive svm+: Learning with privileged information for domain adaptation
N Sarafianos, M Vrigkas, IA Kakadiaris
Proceedings of the IEEE International Conference on Computer Vision …, 2017
142017
Classifying Behavioral Attributes Using Conditional Random Fields
M Vrigkas, C Nikou, IA Kakadiaris
Artificial Intelligence: Methods and Applications, 95-104, 2014
132014
Action Recognition by Matching Clustered Trajectories of Motion Vectors
M Vrigkas, V Karavasilis, C Nikou, IA Kakadiaris
Proc. 8th International Conference on Computer Vision Theory and Application …, 2013
122013
Identifying human behaviors using synchronized audio-visual cues
M Vrigkas, C Nikou, IA Kakadiaris
IEEE Transactions on Affective Computing 8 (1), 54-66, 2015
112015
A fully robust framework for MAP image super-resolution
M Vrigkas, C Nikou, LP Kondi
2012 19th IEEE International Conference on Image Processing, 2225-2228, 2012
102012
On the improvement of image registration for high accuracy super-resolution
M Vrigkas, C Nikou, LP Kondi
2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011
102011
Active privileged learning of human activities from weakly labeled samples
M Vrigkas, C Nikou, IA Kakadiaris
2016 IEEE International Conference on Image Processing (ICIP), 3036-3040, 2016
72016
Exploiting privileged information for facial expression recognition
M Vrigkas, C Nikou, IA Kakadiaris
2016 International Conference on Biometrics (ICB), 1-8, 2016
62016
Robust maximum a posteriori image super-resolution
M Vrigkas, C Nikou, LP Kondi
Journal of Electronic Imaging 23 (4), 043016, 2014
42014
Robust incremental hidden conditional random fields for human action recognition
M Vrigkas, E Mastora, C Nikou, IA Kakadiaris
International Symposium on Visual Computing, 126-136, 2018
32018
SPICE: Superpixel classification for cell detection and counting
O Magaña-Tellez, M Vrigkas, C Nikou, IA Kakadiaris
Computer Vision Theory and Applications (VISAPP), 2018 13th International …, 2018
32018
Inferring human activities using robust privileged probabilistic learning
M Vrigkas, E Kazakos, C Nikou, IA Kakadiaris
Proceedings of the IEEE International Conference on Computer Vision …, 2017
32017
Recaspia: Recognizing carrying actions in single images using privileged information
C Smailis, M Vrigkas, IA Kakadiaris
2019 IEEE International Conference on Image Processing (ICIP), 26-30, 2019
22019
Improving 3D medical image compression efficiency using spatiotemporal coherence
MC Zerva, M Vrigkas, LP Kondi, C Nikou
Electronic Imaging 2020 (10), 63-1-63-6, 2020
12020
Human activity recognition using robust adaptive privileged probabilistic learning
M Vrigkas, E Kazakos, C Nikou, IA Kakadiaris
Pattern Analysis and Applications, 1-18, 2021
2021
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