Wang Jing — accepted AI-conference papers

2026

iTryOn: Mastering Interactive Video Virtual Try-On with Spatial-Semantic Guidance

Jun Zheng, Zhengze Xu, Mengting Chen, Wang Jing, Jinsong Lan, Xiaoyong Zhu +3

ICML 2026poster

Video Virtual Try-On (VVT) aims to seamlessly replace a garment on a person in a video with a new one. While existing methods have made significant strides in maintaining temporal consistency, they are predominantly confined to non-interactive scenarios where models merely showcase garments. This li…

Cited by 0 Source ↗Scholar ↗

2023

MS-DETR: Natural Language Video Localization with Sampling Moment-Moment Interaction

Wang Jing, Aixin Sun, Hao Zhang, Xiaoli Li

ACL 2023long

Given a text query, the task of Natural Language Video Localization (NLVL) is to localize a temporal moment in an untrimmed video that semantically matches the query. In this paper, we adopt a proposal-based solution that generates proposals (i.e. candidate moments) and then select the best matching…

Cited by 14 Source ↗PDF ↗code ↗Scholar ↗