MM

This paper presents a pioneering exploration into the integration of fine-grained human supervision within the autonomous driving domain to enhance system performance. The current advances in End-to-End autonomous driving normally are data-driven and ...

The integration of human emotions into multimedia applications shows great potential for enriching user experiences and enhancing engagement across various digital platforms. Unlike traditional methods such as questionnaires, facial expressions, and ...

Decoding linguistic information from non-invasive brain signals using EEG has gained increasing research attention due to its vast applicational potential. Recently, a number of works have adopted a generative-based framework to decode ...

Utilizing functional near-infrared spectroscopy (fNIRS) signals for emotion recognition is a significant advancement in understanding human emotions. However, due to the lack of artificial intelligence data and algorithms in this field, current research ...

Multimedia sources such as images and audio commonly activate human senses to perceive objects, but limited research has explored the combined effect of these stimuli on predicting semantic object perception. In this study, we compare the performance of ...

Navigation is a coordinated and goal-oriented movement through the environment, in which vision is an integral part of acquiring spatial information. People with blindness and vision impairment rely on alternative senses to navigate in daily life. ...

Although current research has made significant progress in decoding working memory (WM) representation information, this area still faces several limitations that cannot be ignored. These limitations mainly include a lack of understanding of the dynamic ...

Information retrieval (IR) applications, such as search engines, ChatGPT, and recommender systems, have become essential tools for acquiring knowledge, making decisions, and solving problems. These systems have transformed the web into an external memory ...