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Mingyao Zhou

3 accepted papers

2025

PC-Net: Weakly Supervised Compositional Moment Retrieval via Proposal-Centric Network

NeurIPS 2025poster

With the exponential growth of video content, aiming at localizing relevant video moments based on natural language queries, video moment retrieval (VMR) has gained significant attention. Existing weakly supervised VMR methods focus on designing various feature modeling and modal interaction modules…

Cited by 0SourcecodeScholar
2024

Cross-Modal Multiscale Difference-Aware Network for Joint Moment Retrieval and Highlight Detection

ICASSP 2024accepted

Since the goals of both Moment Retrieval (MR) and Highlight Detection (HD) are to quickly obtain the required content from the video according to user needs, several works have attempted to take advantage of the commonality between both tasks to design transformer-based networks for joint MR and HD.…

Cited by 0SourceScholar
2024

TR-DETR: Task-Reciprocal Transformer for Joint Moment Retrieval and Highlight Detection

AAAI 2024technical

Video moment retrieval (MR) and highlight detection (HD) based on natural language queries are two highly related tasks, which aim to obtain relevant moments within videos and highlight scores of each video clip. Recently, several methods have been devoted to building DETR-based networks to solve bo…