The artistic style within a painting is the means of expression, which includes not only the
painting material, colors, and brushstrokes, but also the high-level attributes, including …

Transformer models have achieved state-of-the-art performance on various domains of
applications and gradually becomes the foundations of the advanced large deep learning …

Digital art synthesis is receiving increasing attention in the multimedia community because
of engaging the public with art effectively. Current digital art synthesis methods usually use …

Arbitrary image stylization by neural networks has become a popular topic, and video
stylization is attracting more attention as an extension of image stylization. However, when …

With the increasing data volume, there is a trend of using large-scale pre-trained models to
store the knowledge into an enormous number of model parameters. The training of these …

Forest fires seriously jeopardize forestry resources and endanger people and property. The
efficient identification of forest fire smoke, generated from inadequate combustion during the …

The SDR-to-HDR translation technique can convert the abundant standard-dynamic-range
(SDR) media resources to high-dynamic-range (HDR) ones, which can represent high …

The Machine Translation System (MTS) serves as effective tool for communication by
translating text or speech from one language to another language. Recently, neural machine …

Despite the remarkable progress in image style transfer formulating style in the context of art
is inherently subjective and challenging. In contrast to existing methods this study shows that …

Background The issue of using deep learning to obtain accurate gross tumor volume (GTV)
and metastatic lymph nodes (MLN) segmentation for nasopharyngeal carcinoma (NPC) on …