Number it: Temporal Grounding Videos like Flipping Manga
Yongliang Wu, Xinting Hu, Yuyang Sun, Yizhou Zhou, Wenbo Zhu, Fengyun Rao, Bernt Schiele, Xu Yang
Abstract
responding temporal information. Our experiments demonstrate that NumPro significantly boosts VTG performance of top-tier Vid-LLMs without additional computational cost. Furthermore, fine-tuning on a NumPro-enhanced dataset defines a new state-of-the-art for VTG, surpassing previous top-performing methods by up to 6.9% in mIoU for moment retrieval and 8.5% in mAP for highlight detection. The code is available at https://github.com/yongliangwu/NumPro .
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Install the CLIlune papers fulltext 6f657fbb-7fda-4c27-b3fb-f03cc9292cb6Cited by top-tier papers35
- Time-R1: Post-Training Large Vision Language Model for Temporal Video GroundingYe Wang, Ziheng Wang, Boshen Xu, Yang Du et al.NeurIPS 2025 · 143 citations
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- Causal Prompting: Debiasing Large Language Model Prompting Based on Front-Door AdjustmentCongzhi Zhang, Linhai Zhang, Jialong Wu, Yulan He et al.AAAI 2025 · 42 citations
- VTG-LLM: Integrating Timestamp Knowledge into Video LLMs for Enhanced Video Temporal GroundingYongxin Guo, Jingyu Liu, Mingda Li, Dingxin Cheng et al.AAAI 2025 · 27 citations
Builds on37
- Learning Transferable Visual Models From Natural Language SupervisionAlec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh et al.ICML 2021 · 47,906 citations
- An Image is Worth 16x16 Words: Transformers for Image Recognition at ScaleAlexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn et al.ICLR 2021 · 21,477 citations
- LoRA: Low-Rank Adaptation of Large Language ModelsEdward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu et al.ICLR 2022 · 18,833 citations
- Visual Instruction TuningHaotian Liu, Chunyuan Li, Qingyang Wu, Yong Jae LeeNeurIPS 2023 · 11,349 citations
- Detecting Moments and Highlights in Videos via Natural Language QueriesJie Lei, Tamara L. Berg, Mohit BansalNeurIPS 2021 · 425 citations
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