VideoDistill: Language-aware Vision 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 …
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 …
Encoding and Controlling Global Semantics for Long-form Video Question Answering
Seeking answers effectively for long videos is essential to build video question answering
(videoQA) systems. Previous methods adaptively select frames and regions from long …
(videoQA) systems. Previous methods adaptively select frames and regions from long …
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 …
Mist: Multi-modal iterative spatial-temporal transformer for long-form video question answering
Abstract To build Video Question Answering (VideoQA) systems capable of assisting
humans in daily activities, seeking answers from long-form videos with diverse and complex …
humans in daily activities, seeking answers from long-form videos with diverse and complex …
End-to-End Video Question Answering with Frame Scoring Mechanisms and Adaptive Sampling
Video Question Answering (VideoQA) has emerged as a challenging frontier in the field of
multimedia processing, requiring intricate interactions between visual and textual modalities …
multimedia processing, requiring intricate interactions between visual and textual modalities …
Harnessing Representative Spatial-Temporal Information for Video Question Answering
Video question answering, aiming to answer a natural language question related to the
given video, has become prevalent in the past few years. Although remarkable …
given video, has become prevalent in the past few years. Although remarkable …
Compositional attention networks with two-stream fusion for video question answering
Given a video, Video Question Answering (VideoQA) aims at answering arbitrary free-form
questions about the video content in natural language. A successful VideoQA framework …
questions about the video content in natural language. A successful VideoQA framework …
Erm: Energy-based refined-attention mechanism for video question answering
F Zhang, R Wang, F Zhou, Y Luo - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Spatiotemporal attention learning remains a challenging video question answering
(VideoQA) task as it requires a sufficient understanding of cross-modal spatiotemporal …
(VideoQA) task as it requires a sufficient understanding of cross-modal spatiotemporal …
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 …