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Wenjia Geng

2 accepted papers

2024

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

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 1SourcePDFScholar
2023

Skip-Plan: Procedure Planning in Instructional Videos via Condensed Action Space Learning

ICCV 2023poster

In this paper, we propose Skip-Plan, a condensed action space learning method for procedure planning in instructional videos. Current procedure planning methods all stick to the state-action pair prediction at every timestep and generate actions adjacently. Although it coincides with human intuition…

Cited by 12PDFScholar