As information exists in various modalities in real world, effective interaction and fusion
among multimodal information plays a key role for the creation and perception of multimodal …

Audio-visual learning, aimed at exploiting the relationship between audio and visual
modalities, has drawn considerable attention since deep learning started to be used …

Bird's-Eye View (BEV) Perception has received increasing attention in recent years as it
provides a concise and unified spatial representation across views and benefits a diverse …

Image synthesis is a process of converting the input text, sketch, or other sources, ie, another
image or mask, into an image. It is an important problem in the computer vision field, where it …

In this paper, we propose an Omni-perception Pre-Trainer (OPT) for cross-modal
understanding and generation, by jointly modeling visual, text and audio resources. OPT is …

We consider distance functions between conditional distributions. We focus on the
Wasserstein metric and its Gaussian case known as the Frechet Inception Distance (FID) …

Text-to-image generation has attracted significant interest from researchers and practitioners
in recent years due to its widespread and diverse applications across various industries …

Sketches reflect the drawing style of individual artists; therefore, it is important to consider
their unique styles when extracting sketches from color images for various applications …

In the modern data-driven landscape, organizations are inundated with massive amounts of
data, necessitating robust and scalable database solutions (Arzamasova et al., 2020). SQL …

With the increasing interest in various creative scenes such as social media, film production,
and intelligence courses, people expect to be able to compile rich visual content according …