Sujia Wang — accepted AI-conference papers

2024

Learning Multi-Scale Video-Text Correspondence for Weakly Supervised Temporal Article Gronding

Wenjia Geng, Yong Liu, Lei Chen, Sujia Wang, Jie Zhou, Yansong Tang

AAAI 2024technical

Weakly Supervised temporal Article Grounding (WSAG) is a challenging and practical task in video understanding. Specifically, given a video and a relevant article, whose sentences are at different semantic scales, WSAG aims to localize corresponding video segments for all “groundable” sentences. Com…

Cited by 1 Source ↗PDF ↗Scholar ↗

2023

LOGO: A Long-Form Video Dataset for Group Action Quality Assessment

Shiyi Zhang, Wenxun Dai, Sujia Wang, Xiangwei Shen, Jiwen Lu, Jie Zhou +1

CVPR 2023poster

Action quality assessment (AQA) has become an emerging topic since it can be extensively applied in numerous scenarios. However, most existing methods and datasets focus on single-person short-sequence scenes, hindering the application of AQA in more complex situations. To address this issue, we con…

Cited by 37 Source ↗PDF ↗code ↗Scholar ↗