Our experience of the world is multimodal-we see objects, hear sounds, feel texture, smell
odors, and taste flavors. Modality refers to the way in which something happens or is …

The forthcoming generation of wireless technology, 6G, promises a revolutionary leap
beyond traditional data-centric services. It aims to usher in an era of ubiquitous intelligent …

This article presents a novel CNN-RNN based approach, which exploits multiple CNN
features for dimensional emotion recognition in-the-wild, utilizing the One-Minute Gradual …

Combining complementary information from multiple modalities is intuitively appealing for
improving the performance of learning-based approaches. However, it is challenging to fully …

Multimodal sentiment analysis aims to recognize people's attitudes from multiple
communication channels such as verbal content (ie, text), voice, and facial expressions. It …

The prevailing characteristics of micro-videos result in the less descriptive power of each
modality. The micro-video representations, several pioneer efforts proposed, are limited in …

Sight and hearing are two senses that play a vital role in human communication and scene
understanding. To mimic human perception ability, audio-visual learning, aimed at …

Automatically recognizing human emotions from spontaneous and non-prototypical real-life
data is currently one of the most challenging tasks in the field of affective computing. This …

Recent developments in image classification and natural language processing, coupled with
the rapid growth in social media usage, have enabled fundamental advances in detecting …

Emotion recognition is the ability to identify what people would think someone is feeling from
moment to moment and understand the connection between his/her feelings and …