activity
20202026
most citedReal-time Facial Expression Recognition "In The Wild'' by Disentangling 3D Expression from Identity

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

FUSE: Frame-Unified Stress Estimation from Facial Video

Stefanos Gkikas, Thomas Kassiotis, Yang Guo +2

Automatic stress detection from facial video offers a practical path to non-intrusive affect monitoring, yet existing video-based approaches commonly decompose full recordings into…

cs.AI2026

A Multi-Scale Temporal Framework with Dynamic Fusion for EEG-Based Emotion Recognition

Stefanos Gkikas, Yang Guo, Guangliang Li +3

Mixed emotions represent a clinically relevant but still underexplored target for automatic emotion recognition. EEG provides millisecond-level access to neural activity, yet most…

cs.CV2026

Explainable graph attention network for stress recognition (StressGAT) via differential action units

Thomas Kassiotis, Stefanos Gkikas, Nikolaos Smyrnis +1

Stress is a dynamic process characterized by significant individual variability in facial expression. Traditional architectures, such as Recurrent Neural Networks (RNNs) and Convol…

cs.GR2025

Reflections on Diversity: A Real-time Virtual Mirror for Inclusive 3D Face Transformations

Paraskevi Valergaki, Antonis Argyros, Giorgos Giannakakis +1

Real-time 3D face manipulation has significant applications in virtual reality, social media and human-computer interaction. This paper introduces a novel system, which we call Mir…

cs.CV20202 cited

Real-time Facial Expression Recognition "In The Wild'' by Disentangling 3D Expression from Identity

Mohammad Rami Koujan, Luma Alharbawee, Giorgos Giannakakis +2

Human emotions analysis has been the focus of many studies, especially in the field of Affective Computing, and is important for many applications, e.g. human-computer intelligent…