Video-grounded Dialogue (VGD) aims to decode an answer sentence to a question
regarding a given video and dialogue context. Despite the recent success of multi-modal …

A video-grounded dialogue system referred to as the Structured Co-reference Graph
Attention (SCGA) is presented for decoding the answer sequence to a question regarding a …

Video-grounded Dialogue (VGD) aims to answer questions regarding a given multi-modal
input comprising video, audio, and dialogue history. Although there have been numerous …

In recent years, Audio Visual Scene-Aware Dialog (AVSD) has been an active research task
in the multimodal dialogue community and has also been a core part of the Dialog System …

It would be a technological feat to be able to create a system that can hold a meaningful
conversation with humans about what they watch. A setup toward that goal is presented as a …

Generating dialogue grounded in videos requires a high level of understanding and
reasoning about the visual scenes in the videos. However, existing large visual-language …

In contrast to conventional visual question answering, video-grounded dialog necessitates a
profound understanding of both dialog history and video content for accurate response …

Abstract Audio Visual Scene-Aware Dialog (AVSD) has drawn intense interests, in which
models are required to understand dynamic scenes in videos and dialog contexts in order to …

Abstract The task of Video-Grounded Dialogue involves developing a multimodal chatbot
capable of answering sequential questions from humans regarding video content, audio …

Audio Visual Scene-Aware Dialog is a task where a robot answers questions based on short
video and audio content as well as dialog history. Although previous studies try to improve …