21 citations · 66 across the 20 of their papers we have counts for
10 papers · 1 filter
UNWIND: Any-Length Facial Video for Stress Detection without Temporal Windowing
Stefanos Gkikas, Christian Arzate Cruz, Eric Nichols +2
Automatic stress recognition from facial video provides a non-contact approach for affective monitoring. However, most existing video-based methods divide complete recordings into…
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…
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…
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.…
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…
A Full Transformer-based Framework for Automatic Pain Estimation using Videos
Stefanos Gkikas, Manolis Tsiknakis
The automatic estimation of pain is essential in designing an optimal pain management system offering reliable assessment and reducing the suffering of patients. In this study, we…
Synthetic Thermal and RGB Videos for Automatic Pain Assessment utilizing a Vision-MLP Architecture
Stefanos Gkikas, Manolis Tsiknakis
Pain assessment is essential in developing optimal pain management protocols to alleviate suffering and prevent functional decline in patients. Consequently, reliable and accurate…
Twins-PainViT: Towards a Modality-Agnostic Vision Transformer Framework for Multimodal Automatic Pain Assessment using Facial Videos and fNIRS
Stefanos Gkikas, Manolis Tsiknakis
Automatic pain assessment plays a critical role for advancing healthcare and optimizing pain management strategies. This study has been submitted to the First Multimodal Sensing Gr…