This paper offers an insightful examination of how currently top-trending AI technologies, ie,
generative artificial intelligence (Generative AI) and large language models (LLMs), are …

Visual question answering (VQA) is a problem that researchers in both computer vision and
natural language processing are interested in studying. In VQA, a system is given an image …

Multimodal learning is a promising area in artificial intelligence (AI) that can make the model
understand different kinds of data. Existing works are trying to re-train a new model based …

As basketball's popularity surges, fans often find themselves confused and overwhelmed by
the rapid game pace and complexity. Basketball tactics, involving a complex series of …

The key to integrating visual language tasks is to establish a good alignment strategy.
Recently, visual semantic representation has achieved fine-grained visual understanding by …

Within the multimodal field, the key to integrating vision and language lies in establishing a
good alignment strategy. Recently, benefiting from the success of self-supervised learning …

This paper presents a novel approach to multi-task visual-guided imitation learning. Upon
evaluating the current state-of-the-art method, we observed its capability to replicate the …

Visual Question Answering (VQA) research seeks to create AI systems to answer natural
language questions in images, yet VQA methods often yield overly simplistic and short …