3 accepted papers
Multispectral (MS) images contain richer spectral information than RGB images due to their increased number of channels and are widely used for various applications. However, achieving accurate estimation in MS images remains challenging, as previous studies have struggled with spectral diversity an…
In recent years large-scale video-language pre-training (VidLP) has received considerable attention for its effectiveness in relevant tasks. In this paper we propose a novel action-centric VidLP framework that employs video tube features for temporal modeling and language features based on semantic…
Video Question Answering (Video QA) aims to give an answer to the question through semantic reasoning between visual and linguistic information. Recently, handling large amounts of multi-modal video and language information of a video is considered important in the industry. However, the current vid…