A review of human activity recognition methods M Vrigkas, C Nikou, IA Kakadiaris Frontiers in Robotics and AI 2, 28, 2015 | 620 | 2015 |
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 | 166 | 2018 |
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 | 57 | 2014 |
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 | 35 | 2017 |
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 | 26 | 2015 |
Accurate image registration for MAP image super-resolution M Vrigkas, C Nikou, LP Kondi Signal Processing: Image Communication 28 (5), 494-508, 2013 | 21 | 2013 |
Classifying Behavioral Attributes Using Conditional Random Fields M Vrigkas, C Nikou, IA Kakadiaris Artificial Intelligence: Methods and Applications, 95-104, 2014 | 20 | 2014 |
Identifying human behaviors using synchronized audio-visual cues M Vrigkas, C Nikou, IA Kakadiaris IEEE Transactions on Affective Computing 8 (1), 54-66, 2015 | 19 | 2015 |
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 | 13 | 2013 |
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 | 12 | 2012 |
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 | 12 | 2011 |
Facemask: A new image dataset for the automated identification of people wearing masks in the wild M Vrigkas, EA Kourfalidou, ME Plissiti, C Nikou Sensors 22 (3), 896, 2022 | 11 | 2022 |
Augmented reality for wine industry: past, present, and future M Vrigkas, G Lappas, A Kleftodimos, A Triantafillidou SHS Web of Conferences 102, 04006, 2021 | 10 | 2021 |
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 | 10 | 2016 |
Exploiting privileged information for facial expression recognition M Vrigkas, C Nikou, IA Kakadiaris 2016 International Conference on Biometrics (ICB), 1-8, 2016 | 8 | 2016 |
Robust maximum a posteriori image super-resolution M Vrigkas, C Nikou, LP Kondi Journal of Electronic Imaging 23 (4), 043016, 2014 | 7 | 2014 |
Human activity recognition using robust adaptive privileged probabilistic learning M Vrigkas, E Kazakos, C Nikou, IA Kakadiaris Pattern Analysis and Applications 24 (3), 915-932, 2021 | 6 | 2021 |
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 | 6 | 2017 |
Creating Location-Based Augmented Reality Games and Immersive Experiences for Touristic Destination Marketing and Education A Kleftodimos, A Evagelou, S Gkoutzios, M Matsiola, M Vrigkas, ... Computers 12 (11), 227, 2023 | 5 | 2023 |
An augmented reality workflow for creating 'live' wine labels M Vrigkas, G Lappas, A Kleftodimos International Journal of Entertainment Technology and Management 1 (4), 311-327, 2022 | 4 | 2022 |