A review of human activity recognition methods M Vrigkas, C Nikou, IA Kakadiaris Frontiers in Robotics and AI 2, 28, 2015 | 208 | 2015 |
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 | 45 | 2014 |
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 | 44 | 2018 |
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 |
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 | 18 | 2015 |
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 | 14 | 2017 |
Classifying Behavioral Attributes Using Conditional Random Fields M Vrigkas, C Nikou, IA Kakadiaris Artificial Intelligence: Methods and Applications, 95-104, 2014 | 12 | 2014 |
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 | 11 | 2013 |
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 | 10 | 2011 |
Identifying human behaviors using synchronized audio-visual cues M Vrigkas, C Nikou, IA Kakadiaris IEEE Transactions on Affective Computing 8 (1), 54-66, 2015 | 8 | 2015 |
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 | 8 | 2012 |
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 | 7 | 2016 |
Exploiting privileged information for facial expression recognition M Vrigkas, C Nikou, IA Kakadiaris 2016 International Conference on Biometrics (ICB), 1-8, 2016 | 6 | 2016 |
Robust maximum a posteriori image super-resolution M Vrigkas, C Nikou, LP Kondi Journal of Electronic Imaging 23 (4), 043016, 2014 | 4 | 2014 |
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 | 3 | 2018 |
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 | 3 | 2017 |
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 | 2 | 2018 |
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 | 1 | 2019 |
Gender and age estimation without facial information from still images G Chatzitzisi, M Vrigkas, C Nikou International Symposium on Visual Computing, 488-500, 2020 | | 2020 |
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 | | 2020 |