Abstract We present a Multi-Instance Generation (MIG) task simultaneously generating
multiple instances with diverse controls in one image. Given a set of predefined coordinates …

We introduce the Multi-Instance Generation (MIG) task, which focuses on generating
multiple instances within a single image, each accurately placed at predefined positions with …

We concentrate on a novel human-centric image synthesis task that is given only one
reference facial photograph it is expected to generate specific individual images with diverse …

Deep learning (DL) is increasingly viewed as a foundational methodology for advancing
Artificial Intelligence (AI). However, its interpretability remains limited, and it often …

The goal of sign language recognition (SLR) is to help those who are hard of hearing or deaf
overcome the communication barrier. Most existing approaches can be typically divided into …

Human perception plays a vital role in forming beliefs and understanding reality. A deeper
understanding of brain functionality will lead to the development of novel deep neural …

Vision-brain understanding aims to extract semantic information about brain signals from
human perceptions. Existing deep learning methods for vision-brain understanding are …

Existing methods for fMRI-to-video reconstruction typically focus on accurately
reconstructing visual content ($ ie $, appearance), neglecting dynamic event information …