244 citations · 824 across the 56 of their papers we have counts for
4 papers · 1 filter
Modeling of Facial Aging and Kinship: A Survey
Markos Georgopoulos, Yannis Panagakis, Maja Pantic
Computational facial models that capture properties of facial cues related to aging and kinship increasingly attract the attention of the research community, enabling the developme…
Side Information for Face Completion: a Robust PCA Approach
Niannan Xue, Jiankang Deng, Shiyang Cheng +2
Robust principal component analysis (RPCA) is a powerful method for learning low-rank feature representation of various visual data. However, for certain types as well as significa…
Visual Data Augmentation through Learning
Grigorios G. Chrysos, Yannis Panagakis, Stefanos Zafeiriou
The rapid progress in machine learning methods has been empowered by i) huge datasets that have been collected and annotated, ii) improved engineering (e.g. data pre-processing/nor…
Robust Kronecker Component Analysis
Mehdi Bahri, Yannis Panagakis, Stefanos Zafeiriou
Dictionary learning and component analysis models are fundamental for learning compact representations that are relevant to a given task (feature extraction, dimensionality reducti…