Michalis Vrigkas

发表

Identifying Human Behaviors Using Synchronized Audio-Visual Cues

Ioannis A. Kakadiaris, Christophoros Nikou, Michalis Vrigkas, 2017, IEEE Transactions on Affective Computing.

Robust maximum a posteriori image super-resolution

Lisimachos P. Kondi, Christophoros Nikou, Michalis Vrigkas, 2014, J. Electronic Imaging.

Human activity recognition using robust adaptive privileged probabilistic learning pdf

Ioannis A. Kakadiaris, Evangelos Kazakos, Christophoros Nikou, 2017, Pattern Analysis and Applications.

On the improvement of image registration for high accuracy super-resolution

Lisimachos P. Kondi, Christophoros Nikou, Michalis Vrigkas, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Recaspia: Recognizing Carrying Actions in Single Images Using Privileged Information

Ioannis A. Kakadiaris, Michalis Vrigkas, Christos Smailis, 2019, 2019 IEEE International Conference on Image Processing (ICIP).

Robust Incremental Hidden Conditional Random Fields for Human Action Recognition

Ioannis A. Kakadiaris, Christophoros Nikou, Ermioni Mastora, 2018, ISVC.

A Review of Human Activity Recognition Methods

Ioannis A. Kakadiaris, Christophoros Nikou, Michalis Vrigkas, 2015, Front. Robot. AI.

Segmentation of cell clusters in Pap smear images using intensity variation between superpixels

Christophoros Nikou, Michalis Vrigkas, Marina E. Plissiti, 2015, 2015 International Conference on Systems, Signals and Image Processing (IWSSIP).

Inferring Human Activities Using Robust Privileged Probabilistic Learning

Ioannis A. Kakadiaris, Evangelos Kazakos, Christophoros Nikou, 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).

Active privileged learning of human activities from weakly labeled samples

Ioannis A. Kakadiaris, Christophoros Nikou, Michalis Vrigkas, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Accurate image registration for MAP image super-resolution

Lisimachos P. Kondi, Christophoros Nikou, Michalis Vrigkas, 2013, Signal Process. Image Commun..

Action Recognition by Matching Clustered Trajectories of Motion Vectors

Ioannis A. Kakadiaris, Christophoros Nikou, Vasileios Karavasilis, 2018, VISAPP.

A fully robust framework for MAP image super-resolution

Lisimachos P. Kondi, Christophoros Nikou, Michalis Vrigkas, 2012, 2012 19th IEEE International Conference on Image Processing.

Adaptive SVM+: Learning with Privileged Information for Domain Adaptation

Ioannis A. Kakadiaris, Nikolaos Sarafianos, Michalis Vrigkas, 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).

Classifying Behavioral Attributes Using Conditional Random Fields

Ioannis A. Kakadiaris, Christophoros Nikou, Michalis Vrigkas, 2014, SETN.

Matching mixtures of curves for human action recognition

Ioannis A. Kakadiaris, Christophoros Nikou, Vasileios Karavasilis, 2014, Comput. Vis. Image Underst..

Improving 3D Medical Image Compression Efficiency Using Spatiotemporal Coherence

Lisimachos P. Kondi, Christophoros Nikou, Michalis Vrigkas, 2020, Image Processing: Algorithms and Systems.

SPICE: Superpixel Classification for Cell Detection and Counting

Ioannis A. Kakadiaris, Christophoros Nikou, Michalis Vrigkas, 2018, VISIGRAPP.

Gender and Age Estimation Without Facial Information from Still Images

Christophoros Nikou, Michalis Vrigkas, Georgia Chatzitzisi, 2020, ISVC.

Exploiting privileged information for facial expression recognition

Ioannis A. Kakadiaris, Christophoros Nikou, Michalis Vrigkas, 2016, 2016 International Conference on Biometrics (ICB).

Matching Mixtures of Trajectories for Human Action Recognition

Ioannis A. Kakadiaris, Christophoros Nikou, Vasileios Karavasilis, 2014 .

Machine Learning Outperforms ACC/AHA CVD Risk Calculator in MESA

Ioannis A. Kakadiaris, Morteza Naghavi, Michalis Vrigkas, 2018, Journal of the American Heart Association.