Enhancing Multimodal Facial Expression Recognition with Derived Modality Transformations Using Novel Convolutional Neural Network-Based Models

Facial Expression Recognition (FER) is a crucial task in enhancing human-computer interaction but remains challenging due to expression variability, environmental complexities, and the limitations of single-modal and existing multimodal approaches. To address these challenges, this study examines th...

Descripció completa

Dades bibliogràfiques

Autors principals:	Muhammad Tahir Naseem, Ubaid Ullah, Chan-Su Lee
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2026-01-01
Col·lecció:	IEEE Access
Matèries:	Convolutional neural network deep learning fusion hematoxylin and eosin visible infrared
Accés en línia:	https://ieeexplore.ieee.org/document/11418925/
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!