EventCoT: Event-centric Video Chain-of-thought for Reasoning Temporal Localization
Reasoning temporal localization (RTL) requires a model to generate an answer that itself contains the time interval supporting it, coupling high-level reasoning with temporal grounding in a single response. To tackle this challenge, we propose the first event-centric video chain-of-thought framework, dubbed EventCoT. EventCoT first performs event-centric tokenization, converting the video into compact event tokens that enable efficient identification of question-relevant events. It then reasons within these events to generate the answer, grounding the time interval via embedding matching that aligns placeholder tokens with visual embeddings. EventCoT achieves state-of-the-art results on A...
| Authors | Youngkil Song, Yoonjae Baek, Dongwon Kim et al. |
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| Primary category | cs.CV |
| Published | 6 July 2026 |
| Last updated at source | 11 August 2026 |
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