In the past few years, the emergence of pre-training models has brought uni-modal fields
such as computer vision (CV) and natural language processing (NLP) to a new era …

Large language models (LLMs) have demonstrated remarkable language abilities. GPT-4,
based on advanced LLMs, exhibits extraordinary multimodal capabilities beyond previous …

Visual dialog, which aims to hold a meaningful conversation with humans about a given
image, is a challenging task that requires models to reason the complex dependencies …

Visual dialog (VisDial) is a task of answering a sequence of questions grounded in an
image, using the dialog history as context. Prior work has trained the dialog agents solely on …

Visual Dialog is a challenging vision-language task since the visual dialog agent needs to
answer a series of questions after reasoning over both the image content and dialog history …

Visual dialog requires models to give reasonable answers according to a series of coherent
questions and related visual concepts in images. However, most current work either focuses …

Visual dialogue is a challenging task that needs to extract implicit information from both
visual (image) and textual (dialogue history) contexts. Classical approaches pay more …

Visual Dialog requires an agent to engage in a conversation with humans grounded in an
image. Many studies on Visual Dialog focus on the understanding of the dialog history or the …

Different from Visual Question Answering task that requires to answer only one question
about an image, Visual Dialogue task involves multiple rounds of dialogues which cover a …

Visual dialog, a visual-language task, enables an AI agent to engage in conversation with
humans grounded in a given image. To generate appropriate answers for a series of …