6 papers
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…
ReFace: Reorganizing Facial Spatiotemporal Representations for Improved Pain Assessment
Stefanos Gkikas, Yu Fang, Christian Arzate Cruz +2
Automatic pain assessment from facial video remains challenging due to the spatial heterogeneity of pain-related facial cues. This study proposes ReFace, a spatial reorganization p…
A Unified Tokenization Framework for Pain Recognition using Heterogeneous 3D Modalities
Stefanos Gkikas, Christian Arzate Cruz, Valentina Becchetti +3
Pain is a complex and pervasive phenomenon affecting a large percentage of the population, and accurate assessment is essential for effective clinical management and intervention.…
One-Block Transformer (1BT) for EEG-Based Cognitive Workload Assessment
Stefanos Gkikas, Christian Arzate Cruz, Thomas Kassiotis +3
Accurate and continuous estimation of cognitive workload is fundamental to creating adaptive human-machine systems. However, designing architectures that balance representational c…
A Lightweight Transformer for Pain Recognition from Brain Activity
Stefanos Gkikas, Christian Arzate Cruz, Yu Fang +6
Pain is a multifaceted and widespread phenomenon with substantial clinical and societal burden, making reliable automated assessment a critical objective. This paper presents a lig…
PainFormer: a Vision Foundation Model for Automatic Pain Assessment
Stefanos Gkikas, Raul Fernandez Rojas, Manolis Tsiknakis
Pain is a manifold condition that impacts a significant percentage of the population. Accurate and reliable pain evaluation for the people suffering is crucial to developing effect…