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Ahmed J. Obaid and Hassanain K. Alrammahi
Recognizing facial expressions plays a crucial role in various multimedia applications, such as human?computer interactions and the functioning of autonomous vehicles. This paper introduces a hybrid feature extraction network model to bolster the discrim...
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Jiaxiong Zhou, Jian Li, Yubo Yan, Lei Wu and Hao Xu
Large-scale facial expression datasets are primarily composed of real-world facial expressions. Expression occlusion and large-angle faces are two important problems affecting the accuracy of expression recognition. Moreover, because facial expression da...
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Dorra Mahouachi and Moulay A. Akhloufi
Besides the many advances made in the facial detection and recognition fields, face recognition applied to visual images (VIS-FR) has received increasing interest in recent years, especially in the field of communication, identity authentication, public ...
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Gema Fernández-Blanco Martín, Fernando Matía, Lucía García Gómez-Escalonilla, Daniel Galan, M. Guadalupe Sánchez-Escribano, Paloma de la Puente and Mario Rodríguez-Cantelar
Personal assistants and social robotics have evolved significantly in recent years thanks to the development of artificial intelligence and affective computing. Today?s main challenge is achieving a more natural and human interaction with these systems. ...
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Kaya ter Burg and Heysem Kaya
Classifying facial expressions is a vital part of developing systems capable of aptly interacting with users. In this field, the use of deep-learning models has become the standard. However, the inner workings of these models are unintelligible, which is...
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