Within the vast expanse of computerized language processing, a revolutionary entity known
as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to …

Abstract Artificial Intelligence (AI) and Machine Learning (ML) are being used more and
more to handle complex tasks in many different areas. As a result, interconnected …

The visual classification performance of vision-language models such as CLIP has been
shown to benefit from additional semantic knowledge from large language models (LLMs) …

Large Language Models (LLMs) have revolutionized the fields of computer vision (CV) and
natural language processing (NLP). One of the most notable advancements of LLMs is that a …

With the development of foundation models such as large language models, zero-shot
transfer learning has become increasingly significant. This is highlighted by the generative …

Large-scale pre-trained vision models (PVMs) have shown great potential for adaptability
across various downstream vision tasks. However, with state-of-the-art PVMs growing to …

In this paper, we study the problem of temporal video grounding (TVG), which aims to predict
the starting/ending time points of moments described by a text sentence within a long …

Given the power of vision transformers a new learning paradigm pre-training and then
prompting makes it more efficient and effective to address downstream visual recognition …

In data-rich domains such as vision, language, and speech, deep learning prevails to deliver
high-performance task-specific models and can even learn general task-agnostic …

Image processing is a fundamental task in computer vision, which aims at enhancing image
quality and extracting essential features for subsequent vision applications. Traditionally …