Papers by Tongchen Yang

1 papers
Exploring Fine-Grained Human Motion Video Captioning (2025.coling-main)

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Challenge: Existing video captioning models fail to capture nuanced semantics of videos . existing models generate coarse descriptions of human motions, resulting in poor quality .
Approach: They construct a fine-grained human motion video captioning dataset named BoFiT and a model that generates fine-grain descriptions of human motions via prompting.
Outcome: The proposed model outperforms existing models on comprehensive metrics.

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