A multivariate analysis of electroencephalography activity reveals super-additive enhancements to the neural encoding of audiovisual stimuli, providing new insights into how the brain integrates ...

We are delighted to announce that our paper has been officially accepted by the ACM International Conference on Multimedia (ACMMM 2025) and selected for Oral Presentation! Highlights of Review Results ...

ABSTRACT: As morphemes are the smallest phonetic and semantic word formation units in Chinese, the study of morphemes has always been an important part of Chinese language acquisition research. Taking ...

Multimodal semantic segmentation shows significant potential for enhancing segmentation accuracy in complex scenes. However, current methods often incorporate specialized feature fusion modules ...

Well-designed products are the barrier to entry. But visual merchandising takes your business to the top. It’s what gets customers into your store and spending money. Not sure how to get started with ...

Large language models (LLMs) have transformed natural language processing (NLP) by demonstrating the effectiveness of increasing the number of parameters and training data for various reasoning tasks.

Abstract: We explore visual reinforcement learning (RL) using two complementary visual modalities: frame-based RGB cam-era and event-based Dynamic Vision Sensor (DVS). Ex-isting multi-modality visual ...

With the widespread rise of large language models (LLMs), the critical issue of “jailbreaking” poses a serious threat. Jailbreaking involves exploiting vulnerabilities in these models to generate ...