9 citations · 11 across the 4 of their papers we have counts for
4 papers
Stable-Drift: A Patient-Aware Latent Drift Replay Method for Stabilizing Representations in Continual Learning
Paraskevi-Antonia Theofilou, Anuhya Thota, Stefanos Kollias +1
When deep learning models are sequentially trained on new data, they tend to abruptly lose performance on previously learned tasks, a critical failure known as catastrophic forgett…
Complex Style Image Transformations for Domain Generalization in Medical Images
Nikolaos Spanos, Anastasios Arsenos, Paraskevi-Antonia Theofilou +3
The absence of well-structured large datasets in medical computer vision results in decreased performance of automated systems and, especially, of deep learning models. Domain gene…
Synergy of Machine and Deep Learning Models for Multi-Painter Recognition
Vassilis Lyberatos, Paraskevi-Antonia Theofilou, Jason Liartis +1
The growing availability of digitized art collections has created the need to manage, analyze and categorize large amounts of data related to abstract concepts, highlighting a dema…
MMA-MRNNet: Harnessing Multiple Models of Affect and Dynamic Masked RNN for Precise Facial Expression Intensity Estimation
Dimitrios Kollias, Andreas Psaroudakis, Anastasios Arsenos +4
This paper presents MMA-MRNNet, a novel deep learning architecture for dynamic multi-output Facial Expression Intensity Estimation (FEIE) from video data. Traditional approaches to…