This paper reviews the current state of the art in artificial intelligence (AI) technologies and
applications in the context of the creative industries. A brief background of AI, and …

Abstract Generative Adversarial Networks (GANs) have been extremely successful in
various application domains such as computer vision, medicine, and natural language …

Image inpainting has been widely exploited in the field of computer vision and image
processing. The main purpose of image inpainting is to produce visually plausible structure …

Building layout generation has entered a new era in recent years, leveraging state-of-the-art
deep generative methods to learn morphological properties of exiting urban structures and …

Multi-agent collaborative perception (MCP) has recently attracted much attention. It includes
three key processes: communication for sharing, collaboration for integration, and …

Multimodal electronic health record (EHR) data are widely used in clinical applications.
Conventional methods usually assume that each sample (patient) is associated with the …

It has become a research hotspot to detect whether a face is natural or GAN-generated.
However, all the existing works focus on whole GAN-generated faces. So, an improved …

Image inpainting refers to the task of generating a complete, natural image based on a
partially revealed reference image. Recently, many research interests have been focused on …

Transparent objects are ubiquitous in household settings and pose distinct challenges for
visual sensing and perception systems. The optical properties of transparent objects leave …

One of the main challenges in machine vision relates to the problem of obtaining robust
representation of visual features that remain unaffected by geometric transformations. This …