Connecting text and visual modalities plays an essential role in generative intelligence. For
this reason, inspired by the success of large language models, significant research efforts …

Large Language Models (LLMs) demonstrate impressive capabilities across various fields,
yet their increasing use raises critical security concerns. This article reviews recent literature …

Large language models have demonstrated impressive universal capabilities across a wide
range of open-ended tasks and have extended their utility to encompass multimodal …

The video-language (VL) pretraining has achieved remarkable improvement in multiple
downstream tasks. However, the current VL pretraining framework is hard to extend to …

Image segmentation is a long-standing challenge in computer vision, studied continuously
over several decades, as evidenced by seminal algorithms such as N-Cut, FCN, and …

Significant advancements has recently been achieved in the field of multi-modal large
language models (MLLMs), demonstrating their remarkable capabilities in understanding …

Generative Foundation Models (GenFMs) have emerged as transformative tools. However,
their widespread adoption raises critical concerns regarding trustworthiness across …

Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and
Video Understanding Supplementary Materi Page 1 Chat-UniVi: Unified Visual Representation …