Vrigkas, M.[Michalis]
* 2012: fully robust framework for MAP image super-resolution, A
* 2013: Accurate image registration for MAP image super-resolution
* 2014: Matching mixtures of curves for human action recognition
* 2015: Segmentation of cell clusters in Pap smear images using intensity variation between superpixels
* 2016: Active privileged learning of human activities from weakly labeled samples
* 2017: Adaptive SVM+: Learning with Privileged Information for Domain Adaptation
* 2017: Identifying Human Behaviors Using Synchronized Audio-Visual Cues
* 2017: Inferring Human Activities Using Robust Privileged Probabilistic Learning
* 2018: Robust Incremental Hidden Conditional Random Fields for Human Action Recognition
* 2019: Recaspia: Recognizing Carrying Actions in Single Images Using Privileged Information
* 2020: Gender and Age Estimation Without Facial Information from Still Images
* 2023: Spatial Transformer Generative Adversarial Network for Image Super-resolution
Includes: Vrigkas, M.[Michalis] Vrigkas, M.
12 for Vrigkas, M.
Vrignaud, C.[Camille]
* 2023: Evaluating the Impact of Time-to-Collision Constraint and Head Gaze on Usability for Robot Navigation in a Corridor
Vrigneaud, J.M.
* 2021: Performance Evaluation and Compatibility Studies of a Compact Preclinical Scanner for Simultaneous PET/MR Imaging at 7 Tesla