Language-Guided Visual Aggregation Network for Video Question Answering
Video Question Answering (VideoQA) aims to comprehend intricate relationships, actions,
and events within video content, as well as the inherent links between objects and scenes …
and events within video content, as well as the inherent links between objects and scenes …
Relation-aware hierarchical attention framework for video question answering
Video Question Answering (VideoQA) is a challenging video understanding task since it
requires a deep understanding of both question and video. Previous studies mainly focus on …
requires a deep understanding of both question and video. Previous studies mainly focus on …
Generalized pyramid co-attention with learnable aggregation net for video question answering
Video based visual question answering (V-VQA) remains challenging at the intersection of
vision and language. In this paper, we propose a novel architecture, namely Generalized …
vision and language. In this paper, we propose a novel architecture, namely Generalized …
Lightweight recurrent cross-modal encoder for video question answering
SA Immanuel, C Jeong - Knowledge-Based Systems, 2023 - Elsevier
A video question answering task essentially boils down to how to fuse the information
between text and video effectively to predict an answer. Most works employ a transformer …
between text and video effectively to predict an answer. Most works employ a transformer …
Dualvgr: A dual-visual graph reasoning unit for video question answering
Video question answering is a challenging task, which requires agents to be able to
understand rich video contents and perform spatial-temporal reasoning. However, existing …
understand rich video contents and perform spatial-temporal reasoning. However, existing …
Heterogeneous memory enhanced multimodal attention model for video question answering
In this paper, we propose a novel end-to-end trainable Video Question Answering
(VideoQA) framework with three major components: 1) a new heterogeneous memory which …
(VideoQA) framework with three major components: 1) a new heterogeneous memory which …
Action-centric relation transformer network for video question answering
Video question answering (VideoQA) has emerged as a popular research topic in recent
years. Enormous efforts have been devoted to developing more effective fusion strategies …
years. Enormous efforts have been devoted to developing more effective fusion strategies …
Progressive graph attention network for video question answering
Video question answering~(Video-QA) is a task of answering a natural language question
related to the content of a video. Existing methods generally explore the single interactions …
related to the content of a video. Existing methods generally explore the single interactions …
Language-aware Visual Semantic Distillation for Video Question Answering
Significant advancements in video question answering (VideoQA) have been made thanks
to thriving large image-language pretraining frameworks. Although these image-language …
to thriving large image-language pretraining frameworks. Although these image-language …
Cross-attentional spatio-temporal semantic graph networks for video question answering
Due to the rich spatio-temporal visual content and complex multimodal relations, Video
Question Answering (VideoQA) has become a challenging task and attracted increasing …
Question Answering (VideoQA) has become a challenging task and attracted increasing …